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Paper Citation Record · LEDGER

Uncovering Overfitting in Large Language Model Editing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.07819.

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

pith.paper-citation-record.v1
2410.07819 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:26:56.356054Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:28:24.167609Z

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 88f435bb-d08e-4a64-9aa3-4da4f8ea247b · inbound

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing cites this paper.

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Uncovering Overfitting in Large Language Model Editing

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T18:26:56.356054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:26:56.356054Z digest=sha256:3b5adc111f480fd5333f8e815a505147060137f72453da8b19d5d255c85f909f

Observation d6c68252-4daa-4b3a-b1c7-3a202bb476ef · inbound

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing cites this paper.

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing Uncovering Overfitting in Large Language Model Editing

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:28:24.249127Z

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=arxiv_source observed=2026-08-07T14:28:23.376322Z digest=sha256:370561c9c63f8cd3aaed8c99e00582c7a316c821d916b81a8ee162b34767e0f3