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Paper Citation Record · LEDGER

Proving membership in LLM pretraining data via data watermarks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.10892.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.10892 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:35.109811Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T05:25:54.321132Z

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 3837463a-6c83-48a4-a31e-ef7fbf8033b7 · inbound

Data Watermarking for Sequential Recommender Systems cites this paper.

Data Watermarking for Sequential Recommender Systems Proving membership in LLM pretraining data via data watermarks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T17:07:04.807548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:07:04.807548Z digest=sha256:bc2984ee15d664953e244290694bbc119b1aa7d9da1bdca8ab0651b2c19a9ed6

Observation 5a0bcd81-bbe5-4a70-bc24-c7c09ab7d3b5 · inbound

SoK: Watermarking for AI-Generated Content cites this paper.

SoK: Watermarking for AI-Generated Content Proving membership in LLM pretraining data via data watermarks

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-12T11:13:55.076191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:13:55.076191Z digest=sha256:84979eba42209d9e38ac51d2d0c6b84e25b52a579752008e8c04cb0079ae08e0

Observation f4be5600-2687-4a8f-888d-ad14ce5de575 · inbound

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings cites this paper.

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Proving membership in LLM pretraining data via data watermarks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:35.109811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:13:35.109811Z digest=sha256:a8b742a7f53726e5d2b0009780cdd6299f19bb41ee7bc7b7361bb4f70ddf02c7

Observation dcf5428b-fd6c-4f9c-9193-db8dd77e4c50 · inbound

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning cites this paper.

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Proving membership in LLM pretraining data via data watermarks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T19:54:57.849903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:54:57.849903Z digest=sha256:9726d0f79944d144409da1e391c14e658608c15984dabf2460596ebbcce7dd9f

Observation 5b83d27d-521a-44d8-ada2-27e70e6d40df · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Proving membership in LLM pretraining data via data watermarks

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.324068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:547b3b56667bdabd27c489d3f51f44915eb0c3170236aa1b31fdc2bc3949e308

Observation 24e1c7f3-379f-4ee9-af27-7999a8f32cdd · inbound

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models cites this paper.

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models Proving membership in LLM pretraining data via data watermarks

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:11:18.129989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-07T17:58:17.879345Z digest=sha256:3ea4a93d2eaba21c90cf8d09bc1f264275a9e730ad9594160ec8f66cbaba1a2e