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Paper Citation Record · LEDGER

ForgetMe: Evaluating Selective Forgetting in Generative Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.12574.

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

pith.paper-citation-record.v1
2504.12574 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:16.067072Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:06.851423Z

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 2d570e9b-99a0-44b1-a559-aade52144924 · inbound

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery cites this paper.

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery ForgetMe: Evaluating Selective Forgetting in Generative Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:16.067072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:16.067072Z digest=sha256:bca28078bb2e87854c616c3d4f2880b1394466c656bf13ab5b9e6c68ea386a01

Observation 4c4992a4-bf30-4f23-91bb-68b6329bf97b · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers ForgetMe: Evaluating Selective Forgetting in Generative Models

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:53:06.856033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T12:53:01.188663Z digest=sha256:bbf1b6a20191c1b6f359a1b2520d0a426785032e9f72f5760748dc83df751dac

Observation 5c2459cb-42a9-4c3f-855a-1d1620767035 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture ForgetMe: Evaluating Selective Forgetting in Generative Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T12:53:14.616663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:53:14.616663Z digest=sha256:57b6bf2ae0b2c55336c41e06b7bf2083fceec22f30d0dc787025b835ab1160f4

Observation 391ce2fe-b9cc-4f61-8f9e-da52a739d509 · inbound

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns cites this paper.

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns ForgetMe: Evaluating Selective Forgetting in Generative Models

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-03T19:59:13.609478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:59:13.609478Z digest=sha256:62e0ce6d98ba75f9a56853ec4272e21160688483a1dc3ccceb36c38edd3172a7