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Paper Citation Record · LEDGER

A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.12052.

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

pith.paper-citation-record.v1
2403.12052 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:49.688508Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.331871Z

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 b2eeb8b0-8bd6-4968-9dfc-3d9925558ffa · inbound

Rethinking Machine Unlearning in Image Generation Models cites this paper.

Rethinking Machine Unlearning in Image Generation Models A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:49.688508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:49.688508Z digest=sha256:aa17078dc0f303183819f72952b7a0bbc710199b27eb21aa0a8a6b4ab2ed806a

Observation 627e9a5b-a008-4e4a-b252-69db1fbc9df4 · inbound

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge cites this paper.

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:38.918562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:38.918562Z digest=sha256:62a0f4b17c49ff29487c6ddbc2c51f46b95ae8b496527bdba45592921353450b

Observation 2268667a-3460-4767-92b7-3140203966b9 · inbound

Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending cites this paper.

Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:00.725311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T22:52:56.846999Z digest=sha256:17e28173b4d53048a997264e7e24f323bd42e61bc06eb0ba1d76f87306a17185

Observation 7f2f8151-5854-499e-9128-a22f9b6f0330 · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.333110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:16ff1332f3a21db487daad911d946419f0dfa3659feff3fb059ddbae6fba54f2

Observation 7d0046dd-9816-4447-a4a7-8abffad44dc1 · inbound

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

LU-500: A Logo Benchmark for Concept Unlearning A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-31T23:06:24.013094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:24.013094Z digest=sha256:43e58d8c772a3f81ab71a9cf9fd7355d0dacf476f6b6c01dec73d4acef380428