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Paper Citation Record · LEDGER

Circumventing Concept Erasure Methods For Text-to-Image Generative Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.01508.

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

pith.paper-citation-record.v1
2308.01508 v2

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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:46:43.615473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:57.482192Z

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 e30d0e6b-24d7-4fd0-b24a-e9182b265865 · inbound

ReVision : A Post-Hoc, Vision-Based Technique for Replacing Unacceptable Concepts in Image Generation Pipeline cites this paper.

ReVision : A Post-Hoc, Vision-Based Technique for Replacing Unacceptable Concepts in Image Generation Pipeline Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T21:46:43.615473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:46:43.615473Z digest=sha256:6a6bd71d163ec1729420dde037312d9d3073aa97144730f952813cce97bbd6f1

Observation 08e9e8bc-d1d1-4b18-9057-b27d37fcfac0 · inbound

When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models cites this paper.

When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Reference 3

Resolution
malformed identifier
arxiv_id, observed 2026-05-10T08:37:53.928503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T08:37:08.263178Z digest=sha256:f477d78cd0c189f1172daa6614001824582873a63ceda5f1cfd640d5bed6a7de

Observation 2c54d558-3711-48c8-84c2-6dff6977fb91 · inbound

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework cites this paper.

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:25.654359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T10:33:17.362333Z digest=sha256:b4c343afec0fc98ebd6f9158f091522e9b7c8e28501cc92325298f700af4a510

Observation e28d68e7-121e-4cf5-b6a1-af2f98663027 · inbound

Co-occurring associated retained concepts in Diffusion Unlearning cites this paper.

Co-occurring associated retained concepts in Diffusion Unlearning Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:09:57.483779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T00:50:58.689718Z digest=sha256:a0f1c64110e4b93ff554c6ef403f0fa3d4e23f78e945976823b388a4ab9dfd09

Observation 96fb8223-414f-429e-b931-a1b2756dbd4f · inbound

To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace Expansion cites this paper.

To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace Expansion Circumventing Concept Erasure Methods For Text-to-Image Generative Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-30T20:59:24.128818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:59:24.128818Z digest=sha256:22a0a07ffbfb00df7e8a5730284948a264c9a7174677c0aa54c0c6c600f3d798