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Paper Citation Record · LEDGER

Evaluating Copyright Takedown Methods for Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.18664.

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

pith.paper-citation-record.v1
2406.18664 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:26:07.788546Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d726cdf2-ef62-40bb-b0e5-65a195ad6b0a · inbound

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations cites this paper.

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations Evaluating Copyright Takedown Methods for Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T15:26:07.788546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:26:07.788546Z digest=sha256:11616b0ab82728158e778cccd86f51e84f09918301c9fa75a179ae2b7e31c447

Observation ce5cf811-f625-4750-bdde-2d4f4203fb52 · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge Evaluating Copyright Takedown Methods for Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:24.944971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:24.944971Z digest=sha256:3429271d23501e225d6dfd06e957957a0531d4e3b596c7c36e0d37aca2b05fcf

Observation 3a12748b-76df-4d96-8a36-beba2ee09e70 · inbound

R-TOFU: Unlearning in Large Reasoning Models cites this paper.

R-TOFU: Unlearning in Large Reasoning Models Evaluating Copyright Takedown Methods for Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:10.239286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.239286Z digest=sha256:d6fc69c315ce71e2d23f3888700ec6b7eabb90a56d4b9ab01d3441ebf7719c14

Observation 465cb9f7-6bc9-4e16-bd73-dab91a77ee27 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Evaluating Copyright Takedown Methods for Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:02:18.941205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T14:54:14.909995Z digest=sha256:1e6b34dff2004eec7af54e200956c3dead83d04ac6df12a31ac5ba3ebe5af6b1