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Paper Citation Record · LEDGER

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.15304.

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

pith.paper-citation-record.v1
2405.15304 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:53:15.178333Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:16:24.664139Z

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 075a2611-db20-4422-9ca4-a576d0cd193e · inbound

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey cites this paper.

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-12T20:53:15.178333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:53:15.178333Z digest=sha256:ddfb15e2904110fe46fec517fefbf53ecd7246822a301dd480adde8110cb2128

Observation 08dac84f-a4f5-4cbf-a823-4a469118760c · inbound

FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models cites this paper.

FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T04:53:36.834852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:53:36.834852Z digest=sha256:f0d1ccdd4090bc53b831432b2d16c4c7a30f082d1cc380b76ea354d5f53aece2

Observation a724dc23-c330-4f54-8614-77197662abc7 · inbound

ACE: Anti-Editing Concept Erasure in Text-to-Image Models cites this paper.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T22:30:29.792079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:29.792079Z digest=sha256:ba0bbc4ee9c7d28f67a7460ba07511cd84b0d0953d1629c92b6ae02a2986cc88

Observation e1c73e88-af36-4a45-9f66-d0a3536e8d29 · inbound

Minimalist Concept Erasure in Generative Models cites this paper.

Minimalist Concept Erasure in Generative Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:08:58.534739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:58.534739Z digest=sha256:62465923ceefafe3c5aeb0ae5b2e0d5655b7689486e810977e8fb3b4f9156ef7

Observation cda32e66-71e0-4fe9-bf5b-1f29d70edfff · inbound

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models cites this paper.

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.665928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T14:28:30.844629Z digest=sha256:3da6846601518c033f921b4f7474d3cb083e25b963b0b2226c201706f72e4634

Observation bbb64020-d790-4f65-9cbd-59bbd2faa34c · inbound

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

LU-500: A Logo Benchmark for Concept Unlearning Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T23:06:18.929778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:18.929778Z digest=sha256:29519497eaf3736e99697570c450baf375513227aad1a0ddbdee7316644484eb