Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Economic Solution to Copyright Challenges of Generative AI
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.13964.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:12.029323Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T17:40:26.231631Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 296d032d-7550-49f6-a1ff-eab44662b7cb · inbound
Fair Document Valuation in LLM Summaries via Shapley Values cites this paper.
Fair Document Valuation in LLM Summaries via Shapley Values An Economic Solution to Copyright Challenges of Generative AI
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:12.029323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e2c036b-4b37-4c35-86a4-1fdb512c56b2 · inbound
Semivalue-based data valuation is arbitrary and gameable cites this paper.
Semivalue-based data valuation is arbitrary and gameable An Economic Solution to Copyright Challenges of Generative AI
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:56:03.187745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f729105-4e8b-42e9-867c-ef7471d51895 · inbound
MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution cites this paper.
MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution An Economic Solution to Copyright Challenges of Generative AI
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:40:26.234171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2094f503-feaf-4936-bd0d-69b9c013dcc8 · inbound
A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.
A Human-Centric Framework for Data Attribution in Large Language Models An Economic Solution to Copyright Challenges of Generative AI
Reference 186
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T02:37:10.685065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e8b52952-a185-4dc0-b3ef-6aaa8fa93a93 · inbound
Compensation Design cites this paper.
Compensation Design An Economic Solution to Copyright Challenges of Generative AI
Reference 2002
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:19:06.802835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.