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Paper Citation Record · LEDGER

On the Limitations and Prospects of Machine Unlearning for Generative AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.00376.

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

pith.paper-citation-record.v1
2408.00376 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:21.379247Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:26:21.423651Z

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 1cffc722-56cf-49fe-8e89-0e623c93c431 · inbound

GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention cites this paper.

GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention On the Limitations and Prospects of Machine Unlearning for Generative AI

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:26:21.429208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:26:21.379247Z digest=sha256:3696086035ca247ccb8e3835ba406588f99bf4c19a5dd41bd42d41b7975030fd

Observation b3a41430-04fa-44af-9aaa-7f540c32b54b · inbound

Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning cites this paper.

Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning On the Limitations and Prospects of Machine Unlearning for Generative AI

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T12:25:05.353825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:25:05.353825Z digest=sha256:7167f5b1121955b42746b559b3907d2d1b926fc10eaa4231abfc98eab4580939