Pith. sign in

Paper Citation Record · LEDGER

Navigating the OverKill in Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.17633.

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

pith.paper-citation-record.v1
2401.17633 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:39:11.071448Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:09:41.837038Z

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 2f3a9794-dbaf-49f7-9f64-8d970ed573cb · inbound

aiXamine: Simplified LLM Safety and Security cites this paper.

aiXamine: Simplified LLM Safety and Security Navigating the OverKill in Large Language Models

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:11.071448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:39:11.071448Z digest=sha256:4f469b720df1444d21b3989232c41c56e971377c4458bf0f401f7b29653880af

Observation b9e105cc-1196-42d2-a5d7-6a6921395e5f · inbound

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning cites this paper.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning Navigating the OverKill in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:57:44.284799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:57:44.284799Z digest=sha256:e81f9b3efa980abc4a69f6ce80e247a99686d380bc4e8b5c9902ac6c903799f8

Observation e3c0882b-84ae-4945-a51d-c351a28d9757 · inbound

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.

MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Navigating the OverKill in Large Language Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:09:41.840571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T23:09:41.480864Z digest=sha256:0e0ad64ae3699501689bbf62f77e8b563c3d74f4c2f81cd9e04d63dcba4ce17d