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Paper Citation Record · LEDGER

Should We Really Edit Language Models? On the Evaluation of Edited Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.18785.

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

pith.paper-citation-record.v1
2410.18785 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:32.886813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:17:31.171094Z

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 1db2b9b9-1446-4933-9494-f75d653fc7f4 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:17:31.174411Z

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=2026-05-23T04:15:36.906263Z digest=sha256:4df8d720c87644baa52c34c8c39601f1106473e1da584ced21cd91d04c4ee398

Observation 92e33e46-472e-4fe8-97c2-e1d76f250906 · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:32.886813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:32.886813Z digest=sha256:f4bf24602db018c029e6166ea3f92d97bb4a1e22f7393795b2c25b427989a9b5

Observation d3e76d0b-9ac6-4ff3-9782-b5e4741549bc · inbound

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing cites this paper.

Decoupling Reasoning and Knowledge Injection for In-Context Knowledge Editing Should We Really Edit Language Models? On the Evaluation of Edited Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:17.466275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:17.466275Z digest=sha256:ea72c7acb0125b523b53f78d427eb21eadd172d9b0c2d4598261e0bcb0e70e24