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Paper Citation Record · LEDGER

Copyright Protection in Generative AI: A Technical Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.02333.

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

pith.paper-citation-record.v1
2402.02333 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:42:41.742867Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.394214Z

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 4a4c999f-9463-4c53-a556-24ae0f9349d8 · inbound

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention cites this paper.

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention Copyright Protection in Generative AI: A Technical Perspective

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:30:31.529467Z

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=2026-05-25T08:30:15.011210Z digest=sha256:bfd550d5c25c9f6c846e0524ee84e600d54aa064f2c685f245a0a5466b8ebea3

Observation 0e1a4168-78b4-4746-aac2-bd8ff7373359 · inbound

Lost in Edits? A $\lambda$-Compass for AIGC Provenance cites this paper.

Lost in Edits? A $\lambda$-Compass for AIGC Provenance Copyright Protection in Generative AI: A Technical Perspective

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T10:42:41.742867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:42:41.742867Z digest=sha256:6e0c58ce8bd47453206847deeeb76937ff314e3576e4aa6beed8ce65d2a99f61

Observation 87652122-5d2f-4aba-8711-09dee7c9d163 · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems Copyright Protection in Generative AI: A Technical Perspective

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:19.966802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:19.966802Z digest=sha256:f8c82b9dd5e2c3339cd413e3d870da13a337625e5defed45ade922e1a16f23af

Observation b7541a71-8535-4578-aa4e-b57bca330795 · inbound

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models cites this paper.

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models Copyright Protection in Generative AI: A Technical Perspective

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.788770Z

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=pdf_text observed=2026-05-19T11:03:03.204840Z digest=sha256:981f3a1a78895f1ecfb7c1d7872cd3f5710694bef7e080a7545f74d611f62701

Observation f26201ea-10a1-4b5b-a68a-22c424114b2a · inbound

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness cites this paper.

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness Copyright Protection in Generative AI: A Technical Perspective

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:02.515646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:02.515646Z digest=sha256:8d1582c327d628f96b5121940d6535f611579997e8715b1d77021a824efc204a

Observation 540c3315-c100-4cf1-98f2-98a125d1957c · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models Copyright Protection in Generative AI: A Technical Perspective

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.799195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.799195Z digest=sha256:a9f1ed68d68d0dcbc5fd5ea8eff1f9651d17ab1122cb26f74af36b1da911de69

Observation b8c727bb-94e4-4f15-8786-a2cfcf5d4533 · inbound

Learning to Evade: Adaptive Attacks on Audio Watermarking cites this paper.

Learning to Evade: Adaptive Attacks on Audio Watermarking Copyright Protection in Generative AI: A Technical Perspective

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:19:43.992977Z

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=pdf_text observed=2026-06-26T10:10:18.351233Z digest=sha256:e029ac25c8178a021bce9ad1d393be735d0d0196e9d39cc3610721ebdeb0bcfa

Observation 2f05cc2b-f7fa-4367-81c9-ea3ed3bbfa3b · inbound

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection cites this paper.

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection Copyright Protection in Generative AI: A Technical Perspective

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:51.395597Z

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=pdf_text observed=2026-06-26T05:25:25.193161Z digest=sha256:485548045ff402ec5fbab3d3f20599baee8311a1cb7c601f8a2cb9ec9ad735e6