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Paper Citation Record · LEDGER

Model Integrity when Unlearning with T2I Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.02068.

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

pith.paper-citation-record.v1
2411.02068 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:27:19.506756Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:47:23.237757Z

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 ef58b18d-71ef-4345-b99e-6fa37d8184dd · inbound

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models cites this paper.

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models Model Integrity when Unlearning with T2I Diffusion Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T21:27:19.506756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:27:19.506756Z digest=sha256:03997dc255ff64513de6f016ff407e94177fa794571b448091b138414dabdaa6

Observation d6ffd128-51b7-438a-a887-22d1a333cf3f · 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 Model Integrity when Unlearning with T2I Diffusion Models

Reference 109

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.238858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:9c0d150b053d623cd99042ec69af34ef66fb9d13609c8be39da40b5ea8b8a953