XXXIII Research
I
On-Chain Authorship in
the Age of AI
Leather Bound Concept Edition
Research Report · Volume I
AI can produce a 75,000-word manuscript in forty minutes and backdate it to any year. Publishers, content funds, and legal teams now face a verification problem that institutional trust cannot solve. This report explains what cryptographic provenance can actually do about it — and what it costs to implement today.
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Page 06 · Executive Brief
A novel can be generated in under an hour, styled to sound plausibly human, and wrapped in fabricated metadata that suggests a much earlier origin date. That means editorial trust, by itself, no longer scales as an authentication method.
“The issue is not whether a machine can write. The issue is whether anyone can later prove when a document first existed.”
Page 19 · LPS-1 Implementation
The report walks through chapter-level hashing, Merkle root construction, chain anchoring, and timestamp verification in plain language, then maps those elements to practical legal and publishing use cases.
Estimated implementation cost for a manuscript-length record: less than $50 in network fees on Polygon Mainnet.
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Sample A
Crisis framing and market stakes
Why AI-authorship uncertainty becomes a valuation and diligence problem for publishers and funds.
Sample B
Protocol reference and checklist
Operational steps, verification boundaries, and implementation notes for a live provenance workflow.
Sample C
2,500 Donkeys case study
A real chain-of-custody example showing what was anchored, when, and why it matters.
Sample D
M&A and legal implications
How provenance changes due diligence, rights review, and future catalog defensibility.
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Section 01
The AI Authorship Crisis: Scale and Stakes
Why detection tools fail, what the economic incentive structure looks like, and why the publishing industry's current response is insufficient.
Section 02
What Provenance Actually Proves — and What It Doesn't
A precise definition of cryptographic provenance, its legal implications, and the boundaries of what a hash timestamp can and cannot establish.
Section 03
The LPS-1 Protocol: Technical Reference
How the Literary Provenance Standard works: chapter-level Merkle trees, Polygon anchoring, Bitcoin timestamping, ORCID attribution, and the full verification workflow.
Section 04
Case Study: The 2,500 Donkeys
The first end-to-end LPS-1 implementation. What was anchored, how, at what cost, and what the chain-of-custody record shows to an external auditor.
Section 05
Retroactive vs. Forward-Looking Provenance
Strategies for anchoring existing catalogs, the limitations of retroactive claims, and how to build a forward-looking provenance posture from today.
Section 06
Implications for Copyright, Acquisitions, and Insurance
How on-chain provenance interacts with copyright dispute resolution, M&A catalog due diligence, and emerging publishing insurance products.
Section 07
Implementation Playbook
A step-by-step checklist for publishers and content owners. What to anchor, when, at what cost, and how to maintain a living provenance record.
Appendix
Contract References & On-Chain Verification
Polygon contract addresses, Etherscan links, Bitcoin block proofs, Merkle root verification scripts, and the full LPS-1 test suite summary.
Publishers & Editorial Directors
Evaluating author manuscripts in an era where AI generation and backdating are trivial to execute.
IP & Publishing Attorneys
Building priority evidence, evaluating copyright disputes, and understanding what blockchain timestamps actually prove in court.
Content Funds & Acquirors
Performing catalog due diligence where AI contamination risk is unquantified and provenance records are absent.
Authors & Literary Agents
Establishing a verifiable chain of custody for manuscripts before submission, protecting priority claims and commercial value.
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