Skip to main content

Source registry

Citations (MLA 9)

All sources cited on series.pleet3d.com are listed below in MLA 9 format per the citation-equation-verification standard. Each entry links back to the sections that reference it; every [src] marker on the site links here (bidirectional).

Data-driven PDF: full MLA registry + every Verification Log row, generated from the live citation registry.
  1. report

    Pleet3D, LLC. "Pleet3D Series — company overview (internal profile; not a third-party encyclopedia)." Internal pitch-platform profile (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  2. report

    Nielsen. "Streaming Shatters Multiple Records in December 2025 with 47.5% of TV Viewing, according to Nielsen's The Gauge." Nielsen, 15 Jan. 2026, www.nielsen.com/news-center/2026/streaming-shatters-multiple-records-in-december-2025-with-47-5-of-tv-viewing-according-to-nielsens-the-gauge/. Accessed 19 July 2026.

    Cited from:
  3. report

    Goldman Sachs. "The Creator Economy Could Approach Half-a-Trillion Dollars by 2027." Goldman Sachs Insights, 2023, www.goldmansachs.com/insights/articles/the-creator-economy-could-approach-half-a-trillion-dollars-by-2027. Accessed 19 July 2026.

    Cited from:
  4. web

    W3C Web Accessibility Initiative. "Web Content Accessibility Guidelines (WCAG) 2.2." World Wide Web Consortium, 5 Oct. 2023, www.w3.org/TR/WCAG22/. Accessed 24 May 2026.

    Cited from:
  5. report

    Pleet3D, LLC. "Vietnam Furniture Sourcing and Logistics Arc — Production Notes for Unscripted Series." Internal pitch platform data (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 26 May 2026.

    Cited from:
  6. report

    Pleet3D, LLC. "Unscripted Television Format Baseline — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  7. report

    Pleet3D, LLC. "Reality Television Economics Baseline — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  8. report

    Pleet3D, LLC. "Below-the-Line Budget Tier Model (equipment + post share by tier) — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  9. report

    Pleet3D, LLC. "Television Crew Pay Bands — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  10. report

    Pleet3D, LLC. "Production Contingency Reserve Band (12–18% of below-the-line) — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  11. report

    Pleet3D, LLC. "Construction Documentary Production Risk — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  12. report

    Pleet3D, LLC. "Cable Network License Fees — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    (Not currently cited from any page — pending content integration.)
  13. report

    Pleet3D, LLC. "Streaming Cost-Plus Licensing — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    (Not currently cited from any page — pending content integration.)
  14. report

    Pleet3D, LLC. "YouTube AVOD Effective RPM — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    (Not currently cited from any page — pending content integration.)
  15. report

    Pleet3D, LLC. "Television Syndication Economics — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    (Not currently cited from any page — pending content integration.)
  16. report

    Pleet3D, LLC. "Television Merchandising Royalties — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    (Not currently cited from any page — pending content integration.)
  17. report

    Pleet3D, LLC. "Defined Gross Backend Participation — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  18. report

    Pleet3D, LLC. "First-Season Unscripted Cumulative Reach — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  19. report

    Pleet3D, LLC. "3D-Printed Home Average Selling Price — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  20. report

    Pleet3D, LLC. "Additive Construction Net Margin — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  21. report

    Pleet3D, LLC. "Custom and Modular Home Sales Funnel Conversion — internal model / assumption (unconfirmed; not a third-party source)." Internal pitch-platform projection (src/lib/topics.ts), 2026. series.pleet3d.com/. Accessed 19 July 2026.

    Cited from:
  22. report

    Pleet3D, LLC. "America’s First 3D-Printed Elementary School — Oklahoma Flagship (Season-Defining Build)." Internal pitch platform data (hero + src/lib/topics.ts on series.pleet3d.com), 2026. series.pleet3d.com/. Accessed 26 May 2026.

    Cited from:
  23. report

    Towards Chemical and Materials Consulting (for Precedence Research). "3D Printing Construction Market Size to Worth USD 1,389.08 Billion by 2035." GlobeNewswire, 19 Nov. 2025, globenewswire.com/news-release/2025/11/19/3190758/0/en/3d-printing-construction-market-size-to-worth-usd-1-389-08-billion-by-2035.html. Accessed 26 May 2026.

    Cited from:

Verification Log (Claims & Recorded Excerpts)

Each row below pairs a displayed claim with the excerpt recorded from its cited source. Honest labeling: many rows are single-sourced — several are Pleet3D internal-model assumptions gated unconfirmed: and should be read as internal inputs, not independently verified facts; items without a source row are gated as unconfirmed: where they appear. The log is generated from the canonical VERIFIED_CLAIMS registry, and a build-time guard (lib/displayed-stats.ts) fails next build if a displayed stat lacks a citation id — the guard checks citation coverage, not source quality. Derived figures in the budget and monetization models follow arithmetically from the cited baselines below.

Claim — Source: Nielsen, The Gauge (15 Jan. 2026)

Streaming captured 47.5% of total U.S. TV viewing in December 2025 — a record high (Q4 2025), per Nielsen's The Gauge.

Source excerpt (as recorded)
Streaming viewership captured 47.5% of television in December 2025, eclipsing its previous record set in July 2025 to achieve the largest share of TV ever reported in Nielsen's The Gauge.
Source: Nielsen, The Gauge (15 Jan. 2026) · works-cited entry · Cited on: /sections#monetization, /sections#comparables
Claim — Source: Goldman Sachs, Insights (2023)

The creator economy's total addressable market could roughly double to $480B by 2027 (from ~$250B today), sizing the addressable market for unscripted/creator formats.

Source excerpt (as recorded)
the total addressable market of the creator economy could roughly double in size over the next five years to $480 billion by 2027 from $250 billion today
Source: Goldman Sachs, Insights (2023) · works-cited entry · Cited on: /sections#monetization, /sections#comparables
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal budget model allocates below-the-line spend as an equipment + post-production share that declines by tier (50.00% at $258k/ep → 33.70% at $725k/ep → 30.50% at $1.95M/ep). Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Below-the-Line Budget Tier Model: equipment + post-production allocation as a share of per-episode below-the-line spend, declining from 50.00% (entry tier, $258k/ep) to 33.70% (mid, $725k/ep) to 30.50% (premium, $1.95M/ep) as variable above-the-line spend scales faster than fixed below-the-line spend. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#budget
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's Season-1 internal model projects 2.67 million Year-1 cumulative reach across YouTube, streaming, and linear. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — First-Season Unscripted Cumulative Reach: Season 1 baseline of 2.67M cumulative viewers in Year 1 (YouTube long-form + AVOD clips + limited linear windows), derived from comparable 3D-printing and innovation-doc reach curves. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /, /sections#monetization, /sections#format, /sections#comparables
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model projects 22% blended net margin on additive-construction (printed) homes at $300k average selling price. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Additive Construction Net Margin: 22.00% blended net margin after materials, labor, finishing, and sales costs at $300k ASP, with 5–7% conversion on modular/custom funnels. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /, /sections#monetization
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model books a production contingency reserve of 12–18% of below-the-line budget for the construction-documentary/unscripted hybrid, layered as ~8% production + 6–10% location/permitting risk. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Production Contingency Reserves: 12–18% of below-the-line budget for documentary + reality hybrids involving physical construction or location builds, layered as 8% production + 6–10% location/permitting risk. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#budget, /sections#risks
Claim — Source: Pleet3D, LLC (series.pleet3d.com, 2026)

Pleet3D's Oklahoma project aims to be America’s first 3D-printed elementary school (unconfirmed as a first) — flagship proof point for the full portfolio (Vietnam sourcing, Virgin Voyages executive travel, supply chain, AI/web via JackalopeEnterprise, neurodiverse workforce, regulatory advocacy).

Source excerpt (as recorded)
Pleet3D, LLC. "America’s First 3D-Printed Elementary School — Oklahoma Flagship (Season-Defining Build)." Internal pitch platform data (hero + src/lib/topics.ts on series.pleet3d.com), 2026.
Source: Pleet3D, LLC (series.pleet3d.com, 2026) · works-cited entry · Cited on: /
Claim — Source: Towards Chemical and Materials Consulting / Precedence Research (GlobeNewswire, 19 Nov 2025)

The global 3D printing construction market is projected to surge from $6.52 billion in 2026 to $1.389 trillion by 2035 at 81.44% CAGR — the scale of transformation the Pleet3D unscripted series will document and accelerate.

Source excerpt (as recorded)
The global 3D printing construction market size is calculated at USD 3.59 billion in 2025 and is predicted to increase from USD 6.52 billion in 2026 is expected to be worth around USD 1,389.08 billion by 2035, growing at a compound annual growth rate (CAGR) of 81.44 % over the forecast period 2025 to 2035. The North America 3D printing construction market held the largest share of 46.50% of the global market in 2024.
Source: Towards Chemical and Materials Consulting / Precedence Research (GlobeNewswire, 19 Nov 2025) · works-cited entry · Cited on: /
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model treats unscripted and creator-led formats in 2025–2026 as anchoring backend participation, syndication windows, and AVOD/SVOD licensing on a cost-plus baseline. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Reality Television Economics Baseline: unscripted and creator-led formats in 2025–2026 anchor backend participation, syndication windows, and AVOD/SVOD licensing on a cost-plus baseline, used as the reference economics for the Season-1 model. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#monetization
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes TV crew pay bands of $1.8k–$4.5k/day for key roles (DP, sound, gaffer) on unscripted/construction-documentary production in 2025–2026, kit fees and benefits separate. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Television Crew Pay Bands: key technical roles (director of photography, sound mixer, gaffer) budgeted at $1.8k–$4.5k per day for 2025–2026 unscripted/construction-documentary production, with kit fees and benefits accounted separately. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#budget
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes a $300k average selling price (ASP) for base-configuration 3D-printed custom and modular homes. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — 3D-Printed Home Average Selling Price: base-configuration 3D-printed single-family homes assumed at an average selling price (ASP) of approximately $300k in 2026 pilot markets. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#monetization
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes home-sales funnel conversion of 2–3% for custom builds and 5–7% for modular/manufactured configurations. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Custom and Modular Home Sales Funnel Conversion: custom home sales funnels assumed to convert at 2–3%, modular and manufactured configurations at 5–7%, reflecting lower price points and faster delivery. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#monetization
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model uses a defined-gross backend-participation basis to derive the monetization break-even (L = 1.70×). Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Defined Gross Backend Participation: a defined-gross backend basis is used to derive the Season-1 monetization break-even multiplier (L = 1.70×). Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#monetization
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model applies a construction-documentary production-risk premium on top of the below-the-line contingency band. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Construction Documentary Production Risk: an added production-risk premium layered on the 12–18% below-the-line contingency band for build-heavy episodes. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry · Cited on: /sections#budget, /sections#risks
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes a first-season linear-cable license band of $400k–$550k per episode (midpoint $475k). Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Cable Network License Fees: first-season unscripted producer band of $400k–$550k per episode, $475k midpoint. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes a streaming (SVOD) cost-plus license multiple of 1.30×–1.60× (1.45× mid) on production cost. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Streaming Cost-Plus Licensing: cost-plus multiple band of 1.30×–1.60× (1.45× mid-case) with windowed exclusivity. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes a blended YouTube AVOD effective RPM of $13.50 ($10–$18 band) for the construction + lifestyle niche. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — YouTube AVOD Effective RPM: blended-niche RPM of $13.50 ($10–$18 band) for construction + lifestyle overlap. Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes a syndication-tail band of $100k–$500k per episode, engaging only Year 7+ (first-run stripping) / Year 10+ (off-network). Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Television Syndication Economics: syndication-tail band of $100k–$500k per episode, below the Year-1 trigger threshold (engages Year 7+/10+). Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry
Claim — Source: Pleet3D internal model / assumption (unconfirmed)

unconfirmed: Pleet3D's internal model assumes merchandising royalties of 8% (apparel) and 12% (tools), yielding ~$115k Year-1 royalty on $1.25M wholesale. Internal assumption, not independently verified.

Source excerpt (as recorded)
Pleet3D internal model — Television Merchandising Royalties: 8.00% apparel / 12.00% tool royalty on a 70/30 split of $1.25M Year-1 wholesale ($115k royalty). Unconfirmed internal assumption.
Source: Pleet3D internal model / assumption (unconfirmed) · works-cited entry

Every row above is generated from the canonical VERIFIED_CLAIMS registry in src/lib/citations.ts; each links to its MLA works-cited entry and to the page(s) that cite it (bidirectional). A build-time guard (src/lib/displayed-stats.ts, run during the static prerender of this page) fails next build if a displayed quantitative stat lacks a citation id and a log row. The guard enforces citation coverage and bidirectional MLA links — it does not independently verify sources, and single-sourced rows are noted where they appear.

Dual-engine math notes

Algebraic reverse-solve + calculus/continuous note for every quantitative claim surface. Figures are frozen to the certified headline set — notes annotate; they do not revise numbers. On-page claim cards expose the same notes via progressive “Math notes” disclosure so a pitch scan stays under five minutes.

Pack: final-math-pack · 2026-07-21 · ALL PASS (re-run: python3 scripts/verify-math-dual-engine.py) · protocol dual-engine ±0.0001 (rates) / exact cents (currency)

Hero AnimatedStats — 3DCP Construction CAGR 81.44%

hero-3dcp-cagr

81.44%

Algebraic

Published discrete CAGR g = 0.8144 from Precedence Research (citation: precedence-3d-printing-construction-2025). Display is a direct copy of the verified registry value; no arithmetic transform is applied on render. Sparkline trajectory is illustrative market-scale path (B USD), not a second CAGR derivation.

Calculus / continuous

Continuous equivalent growth rate r = ln(1+g) = ln(1.8144) ≈ 0.59575483… so V(t)=V0·e^{r t}. Recomposition e^r − 1 recovers g = 0.8144 exactly (within float of ln). N/A for site derivation — continuous form is interpretive only for multi-year compounding intuition; displayed number remains the discrete published CAGR.

Residual risk: Third-party forecast horizon risk; not dual-sourced to a second research house in this pack

Hero AnimatedStats — Year-1 Cumulative Reach 2.67M

hero-year1-reach

2.67M viewersunconfirmed / gated

Algebraic

R = 2,670,000 unique Year-1 viewers (YouTube + AVOD + linear mix). Used as reach input to ripple funnel: visits = R × 0.0150. Display value = R / 1e6 with decimals:2 → 2.67. No intermediate transform.

Calculus / continuous

Treat reach as continuous demand mass R ∈ ℝ+. Funnel outputs scale linearly: ∂(orders)/∂R = 0.015 × 0.05 × 0.04 = 3.0×10⁻⁵ buyers per viewer (pitch base). Sensitivity band in monetization model: 1.80M–3.50M. Continuous note is linear homogeneity; no nonlinear saturation modeled on-site.

Residual risk: HIGH — gated unconfirmed; distribution mix dependent

Hero AnimatedStats — Flagship Proof Point (static 1)

hero-flagship

1 (aims to be US first — unconfirmed)unconfirmed / gated

Algebraic

Static integer 1 = portfolio proof-point count, not a derived ratio. Superlative 'first' is gated aspirational (PLE-857/PLE-862).

Calculus / continuous

N/A — discrete count / legal-gating claim, not a continuous quantitative model.

Residual risk: Representation risk if 'first' reads as verified — already gated unconfirmed

Hero AnimatedStats — Additive Margin 22% net

hero-additive-margin

22%unconfirmed / gated

Algebraic

m = 0.22 blended net margin on 3DCP home ASP. Ripple net = gross × m with gross = orders × $300,000. Check: 24,030,000 × 0.22 = 5,286,600 (exact).

Calculus / continuous

Linear margin map N = m·G. ∂N/∂m = G = $24.03M at pitch base; a +1pp margin shock ⇒ +$240,300 net. No diminishing returns modeled. Continuous treatment: m is a rate parameter on gross revenue measure G.

Residual risk: HIGH — margin is planning assumption, not audited COGS

Budget Tier Options — Lean / Standard / Premium

budget-tiers

Lean $258k/ep · Standard $725k/ep · Premium $1.95M/ep

Algebraic

Per-season = per-episode × 10. Line items sum to per-episode exactly on all three tiers. Equipment+post = ep × equipmentPostPct. Crew day-rate = BTL / (headcount × shootDays). All reverse-solves dual-engine PASS (see script).

Calculus / continuous

N/A for continuous dynamics — discrete production-budget allocation. Optional continuous interpretation: equipment share s(tier) declines as ATL/travel scale (Lean 50% → Standard 33.7% → Premium 30.5%); treated as stepwise schedule, not a fitted continuous function on-site.

Residual risk: LOW arithmetic; residual is production-planning assumption risk

Standard-tier two-layer contingency — 17.20% effective

budget-contingency-standard

17.20% effective season rate ($1,247,000 on $7,250,000)

Algebraic

L1 = $58,000 × 10 = $580,000. L2 = 0.10 × ($7,250,000 − $580,000) = $667,000. Total = $1,247,000. Rate = 1,247,000 / 7,250,000 = 0.1720 = 17.20%. Hybrid (not compound) stacking per PLE-843/PLE-847 certified receipt.

Calculus / continuous

Let B = season budget, ℓ1 = layer-1 dollars, α2 = 0.10 layer-2 rate. Total T = ℓ1 + α2(B − ℓ1) = α2 B + (1−α2)ℓ1. Effective rate ρ = T/B = α2 + (1−α2)(ℓ1/B). With ℓ1/B = 580k/7.25M ≈ 0.08, ρ = 0.10 + 0.90×0.08 = 0.172 exactly. Continuous sensitivity: ∂ρ/∂α2 = 1 − ℓ1/B ≈ 0.92 (layer-2 rate is high-leverage).

Residual risk: MED — methodology choice (hybrid vs compound); arithmetic exact

Illustrative multi-tier travel envelope

budget-travel-envelope

$315,700 / season · $31,570 / ep average

Algebraic

OK merged: 5×$14,500 + 4×$13,800 = $127,700. Σ locations = 38k+66k+127.7k+48k+36k = $315,700. Per-ep = 315,700/10 = $31,570. Explicitly NOT Standard travel line ($68,400/ep).

Calculus / continuous

N/A — discrete trip-count × average-cost sum. No continuous path geometry on-site.

Residual risk: LOW if labels retained; HIGH if misread as Standard travel

SVOD cost-plus multiples L ∈ {1.30, 1.45, 1.70}

monetization-svod-multiples

$9,425,000 / $10,512,500 / $12,325,000 on Standard $7,250,000

Algebraic

Dollars = L × $7,250,000. Backend break-even: 1 + (0.25 × 2.80) = 1.70×. Fallback stack: 4,750,000 + 5,000,000 + 5,286,600 = 15,036,600 > hard floor 9,425,000.

Calculus / continuous

License value V(L)=L·C is linear. Backend-equivalent multiple L* = 1 + s·M with s=0.25 backend share, M=2.80 defined-gross multiple of cost. Continuous tradeoff: take backend when L < L*; flip to certainty when L ≥ L*.

Residual risk: MED commercial negotiation risk; arithmetic exact

Pleet3D ripple funnel → $5,286,600 Year-1 net (pitch 4%)

monetization-ripple

$5,286,600 (planning 3% → $3,964,950)

Algebraic

2,670,000 × 0.015 = 40,050; ×0.05 = 2,002.5; ×0.04 = 80.10; ×$300,000 = $24,030,000; ×0.22 = $5,286,600. Planning: (3/4)×5,286,600 = 3,964,950.

Calculus / continuous

Orders O = R·p1·p2·p3 with rates p1=0.015, p2=0.05, p3=0.04 (pitch). Net N = O·ASP·m. Continuous sensitivity: dN/N = dR/R + dp1/p1 + dp2/p2 + dp3/p3 + dASP/ASP + dm/m (log-differential). Dominant residual: p1,p2 unconfirmed; p3 within modular/custom bracket. Homogeneous degree-1 in R.

Residual risk: HIGH on conversion rates; arithmetic exact on stated inputs

Sponsorship floor $5.00M / year

monetization-sponsorship

$5,000,000 = 1×$1.8M + 2×$0.9M + 4×$0.35M

Algebraic

1×1,800,000 + 2×900,000 + 4×350,000 = 5,000,000. Title slot share = 1,800,000/5,000,000 = 36.00%.

Calculus / continuous

N/A — discrete slot inventory. Optional: treat slot-fill as Bernoulli; expected sponsorship = Σ ni·vi·qi with qi fill probabilities (not modeled on-site).

Residual risk: MED commercial fill risk

License fees — cable / SVOD mid / YouTube AVOD / syndication

monetization-license-channels

Cable $4.75M · SVOD mid $10.5125M · YT Y1 $405k · synd Y1 $0

Algebraic

Cable: 10×$475,000 = $4,750,000; coverage 4,750,000/7,250,000 = 65.52%. SVOD mid: 1.45×7,250,000 = 10,512,500. YT: RPM $13.50 × (30,000,000/1000) = $405,000; long-tail 90M views → $1,215,000. Syndication triggers 65 / 100 ep — Year-1 = $0.

Calculus / continuous

AVOD revenue R_yt = ρ · (V/1000) is linear in views V and RPM ρ. Elasticity ε_V = 1. Continuous note: no CPM decay curve modeled. Syndication is a threshold (Heaviside) on episode count — discontinuous; calculus N/A at trigger.

Residual risk: MED–HIGH for RPM and view counts (internal)

Merch royalty $115k · Jackalope share $560k

monetization-merch-jackalope

$115,000 merch · $560,000 Jackalope Pleet3D share

Algebraic

Merch: (0.70×1,250,000×0.08)+(0.30×1,250,000×0.12)=70,000+45,000=115,000 (PLE-847). Jackalope: 0.70×800,000=560,000.

Calculus / continuous

N/A beyond linear royalty maps. Blended royalty rate = 0.70×0.08 + 0.30×0.12 = 0.092 (9.2% of wholesale).

Residual risk: MED volume risk; arithmetic exact

Year-1 rollup Standard combined net

monetization-year1-rollup

Show-side net $9,342,500 · Combined $14,629,100 · Ripple share 36.14%

Algebraic

Show gross 10,512,500+5,000,000+405,000+115,000+560,000=16,592,500. Net 16,592,500−7,250,000=9,342,500. Combined 9,342,500+5,286,600=14,629,100. Share 5,286,600/14,629,100=36.14%.

Calculus / continuous

Combined net C = (show_gross − production) + ripple_net. Continuous sensitivity dominated by ripple (see funnel log-diff). Share σ = N_r / C; ∂σ/∂N_r = (C − N_r)/C² > 0.

Residual risk: Aggregates residual risks of components

Comparables — Streaming share 47.5% Dec 2025

audience-streaming-share

47.5%

Algebraic

Direct Nielsen The Gauge figure; no transform.

Calculus / continuous

N/A — published point statistic, not a continuous model on-site.

Residual risk: LOW arithmetic; market share drifts over time

Comparables — Creator economy up to $480B by 2027

audience-creator-economy

up to $480B

Algebraic

Goldman Sachs published ceiling; displayed as-is (PLE-858 re-attribution from mislabeled McKinsey).

Calculus / continuous

If read as path from ~$250B to $480B over ~4 years, implied discrete CAGR g=(480/250)^{1/4}−1 ≈ 17.7%/yr; continuous r=ln(1+g). Site does not display that derived CAGR — continuous note is interpretive only.

Residual risk: MED forecast risk; not dual-sourced to second bank research house in this pack

Comparables page — Year-1 reach 2.67M (same as hero)

audience-year1-reach-page

2.67Munconfirmed / gated

Algebraic

Same R as hero; must stay identical to DISPLAYED_STATS, format-overview.audienceTarget, and ripple.year1ReachUniqueViewers.

Calculus / continuous

See hero-year1-reach continuous sensitivity.

Residual risk: HIGH (same as hero)

Format Overview — Year-1 audience target 2.67M

format-overview-year1-reach

2.67M viewersunconfirmed / gated

Algebraic

Identity with hero DISPLAYED_STATS.year-1-cumulative-reach and ripple R=2,670,000. No independent transform on format page.

Calculus / continuous

See hero-year1-reach. Must remain numerically identical across all reach surfaces.

Residual risk: HIGH — same gated model as hero

Risks — production contingency band 12–18% of BTL

risks-contingency-band-btl

12–18% of below-the-line budget

Algebraic

Industry directional band B = [0.12, 0.18] applied to below-the-line dollars, not a reverse-solved Pleet3D allocation. Standard tier books layer-1 contingency at 8.00% of episode (which includes more than pure BTL) and a hybrid season effective rate of 17.20% of full production (PLE-843). The 12–18% band is a cited range for documentary/unscripted construction hybrids; it is not algebraically required to equal 17.20% (different bases: BTL% vs full-budget hybrid).

Calculus / continuous

Interval model: let β ∈ [0.12, 0.18] be a BTL contingency rate. Continuous residual dollars on BTL mass M_BTL is C(β)=β·M_BTL; dC/dβ = M_BTL (linear). Mapping to full-budget rate ρ_full = C / B depends on BTL share s=M_BTL/B: ρ_full = β·s. With Standard BTL share ≈ 182k/725k ≈ 0.251, a mid-band β=0.15 ⇒ ρ_full ≈ 0.0377 on BTL alone — far below the hybrid 17.20% which also stacks layer-2 on (B−ℓ1). Continuous note: the band and the hybrid rate are different measures; do not equate them without stating bases.

Residual risk: MED–HIGH if readers conflate BTL% band with hybrid full-budget 17.20%

Risks — 17.20% effective vs 15% canonical upper bound (budget cross-ref)

risks-contingency-effective-xref

17.20% effective vs 15% canonical upper bound

Algebraic

Defers entirely to budget.contingency.standardTier reverse-solve (dual-engine PASS). Premium = 17.20 − 15.00 = +2.20 pp (+220 bp).

Calculus / continuous

See budget-contingency-standard continuous form ρ=α2+(1−α2)(ℓ1/B).

Residual risk: Copy consistency only if budget figure changes

Risks — Producer confidence meter (overall 72/100 + 7 dimensions)

risks-confidence-meter

overall 72; dims 88/80/84/86/55/70/62

Algebraic

Scores are editorial production judgments on a 0–100 display scale, not probabilities and not outputs of a dual-engine finance model. No reverse-solve binds overallScore to a weighted sum of dimensions in content (overall is independently authored). Content disclaimer already states: not dual-engine certified math.

Calculus / continuous

N/A as continuous financial model. Optional formalization (not implemented on-site): treat dimension scores s_i ∈ [0,100] as ordinal labels; any continuous map ŝ=Σ w_i s_i would require explicit weights w (absent). Do not interpret 72/100 as P(success)=0.72.

Residual risk: MED if UI presents scores as statistical confidence intervals

Risks — heatmap heat = likelihoodScore × impactScore

risks-heatmap-index

heat indices 6–16 on 1–5 ordinal scales

Algebraic

For each risk row, heat = likelihoodScore × impactScore with scores in {1,2,3,4,5} ordinal bins (Low…Critical). Examples: 3×3=9, 4×4=16, 2×3=6. Product is an index on {1…25}, not a probability. Dual-engine check is integer multiplication identity only.

Calculus / continuous

N/A as continuous risk measure. If scores were continuous on [1,5], heat H=L·I is bilinear; level sets are hyperbolas LI=const. Ordinal discretization makes derivatives meaningless for decision — treat as rank labels only.

Residual risk: LOW arithmetic; MED if heat misread as quantified loss

Feedback

Prominent, accessible feedback form with <60s acknowledgment — mandatory per PRD v1.3 (ARC-2746 / ARC-2754).

Full backend + routing handled in delegated child ARC-2754. This stub demonstrates the prominent, immediately acknowledged experience required by the PRD.