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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 2026-08-17T06:30:58.91139+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=sha256:6cfb322fadbd0ed6c5ef814e7590b8350526152003fee56bbdca021f037ac6c0

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:e4c4dcf602503f16aa3bce3877eb0ccb9136fa4811502c79ae117d07bc4b1f62

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=sha256:17cc19f0e8b5699a1de6792980154accb4406652f26855354a910bffa60e00db

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=sha256:8d2e8e81a1ee753b981d611088e9066de3477b735943893b251a19fb3528da47

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:bdb8a813c88c5064be409afceebbef0f8eae3cd5c4b6ceb785213ecaf8bc5046

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-07T17:58:17.879345Z digest=sha256:09ccf8967b28aca0f0ce25fe427eacef77258af3617f938e6f03c7ca6cf7f46f