Paper Citation Record · LEDGER

Copyright Traps for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.09363.

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

pith.paper-citation-record.v1
2402.09363 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:16.785400Z

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

24
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 fe9bc159-0a97-4049-8ab0-269517264a57 · inbound

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning cites this paper.

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning Copyright Traps for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:16:49.643305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1ffd72f-fce4-4248-a380-063a20d7dd5e · inbound

Multi-Objective Large Language Model Unlearning cites this paper.

Multi-Objective Large Language Model Unlearning Copyright Traps for Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:27:37.646725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2109f1-5010-4c37-8234-2f0400161758 · inbound

Certified Mitigation of Worst-Case LLM Copyright Infringement cites this paper.

Certified Mitigation of Worst-Case LLM Copyright Infringement Copyright Traps for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:19:16.785400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2837d5-946d-44c9-b09b-752a7f27fb26 · inbound

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs cites this paper.

Free and Fair Hardware: A Pathway to Copyright Infringement-Free Verilog Generation using LLMs Copyright Traps for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:43.737597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8fa70ec-6ccf-4bbf-acaa-64592b07662c · 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 Copyright Traps for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:54:57.801678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bdf5619-ef1c-4339-9955-a971a760e27c · inbound

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage cites this paper.

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage Copyright Traps for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:25.081384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0599bbec-6c41-42e1-96e2-e965982f3639 · inbound

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Copyright Traps for Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:24:56.604641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9288e6ad-f692-4934-badb-c17dd25bcdac · inbound

Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data cites this paper.

Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data Copyright Traps for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T11:15:50.473111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d4ab12-1ac6-4cf4-9491-9c3649d0dc75 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Copyright Traps for Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:26.128420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2627adcf-4d91-43cf-ae89-d66d15a8eb81 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Copyright Traps for Large Language Models

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:34.056796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5a1e79-01b1-47b1-98b3-2e226b250e8f · inbound

LU-500: A Logo Benchmark for Concept Unlearning cites this paper.

LU-500: A Logo Benchmark for Concept Unlearning Copyright Traps for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T23:06:19.558379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.