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Paper Citation Record · LEDGER

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.05977.

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

pith.paper-citation-record.v1
2307.05977 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:33:18.242907Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.323474Z

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 0f40281a-788e-47b6-a423-6c469c9baebc · inbound

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models cites this paper.

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T05:33:18.242907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:33:18.242907Z digest=sha256:ed3f9b34cc2bcc8eb1aeda17c03b3b5d5b9201eab895cf33942b37113230934f

Observation 8a582264-8565-4069-ac9c-65027a4ca00c · inbound

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors cites this paper.

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T23:43:48.073553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:43:48.073553Z digest=sha256:ab944a6c0d3c9ebb64dd42710fa50bda3be256d9e6b80b679f45ee70e7fec46c

Observation cd680951-041a-4e7f-b5c4-75a30e0d36a3 · inbound

DuMo: Dual Encoder Modulation Network for Precise Concept Erasure cites this paper.

DuMo: Dual Encoder Modulation Network for Precise Concept Erasure Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:40:16.929612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:40:16.929612Z digest=sha256:37bf0316ccb34c268d8a3a6ecb18d92680d8a7bb8b2b2467fac4976a3510a1d8

Observation cbb9cf48-01c8-4851-bf70-8f32ffc9d736 · inbound

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models cites this paper.

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.753693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T05:47:38.650729Z digest=sha256:71b1adea130641d3f1495bf5166103612ae0936498530391c1b0a1d1d5407acb

Observation 38ea8dcf-c034-4bcc-aee9-9a551c9f5f26 · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-09T11:34:09.573752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:09.573752Z digest=sha256:470a10e0757f80c3a4de8d39a135148e77e047b807f3fb8a7e077ab3f2e2a87a

Observation fce211df-0c51-4718-9402-5bc154bf0070 · inbound

Model Immunization from a Condition Number Perspective cites this paper.

Model Immunization from a Condition Number Perspective Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:22.251455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:22.251455Z digest=sha256:c9875a05f54d53f57d575cb985ee3677066f14c7ee31aa48ccda0e47b12dc141

Observation ced2d6f4-55e1-418b-b720-b91558208747 · inbound

SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing cites this paper.

SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:44.623978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:55:44.623978Z digest=sha256:211a8b015d0fc5af1e86bc36b96b2427ca842f40e55dcf489be295afb548d14b

Observation f9b734cf-250c-49fb-b462-4632aba88c6a · inbound

SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts cites this paper.

SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:12:35.922292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:12:35.922292Z digest=sha256:1a565909e67c683a723f5ec07f52b162e9920d3734946f5022d87a8a7a944a6b

Observation 71c41bc1-3b9d-41b6-9501-24985967c561 · inbound

Closed-Form Concept Erasure via Double Projections cites this paper.

Closed-Form Concept Erasure via Double Projections Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:16:00.871800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T16:44:57.265729Z digest=sha256:5c0b2de42329de90ae0867ae6fcfcf1fb2bb4ccea10b97072d732d98f0295ee4

Observation fd3c96a4-1b31-4b73-b257-2dae05ed9d91 · 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 Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.669404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T14:28:30.844629Z digest=sha256:e3e4d067f29b7d951bdd0ac17ca11212fb93241652f9f6959b7151679644474b

Observation fef26cc3-61c5-4be4-a460-e9c9289e602e · 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 Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 120

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.324621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:e00efcb612a6a5c7db921eefb7855ad774843df890eac07d4477412e6df09988

Observation 8cb427ec-0987-4785-9443-358d0ecbf073 · inbound

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

LU-500: A Logo Benchmark for Concept Unlearning Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-31T23:06:23.303091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:23.303091Z digest=sha256:ea1005d5e49f091cc1a8563d12a358efcac429bbd001eab462c8ab2e58776e25