Paper Citation Record · LEDGER

Fine-Tuning is Fine, if Calibrated

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.16223.

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

pith.paper-citation-record.v1
2409.16223 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:57:42.975439Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:34:47.505685Z

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 4614e475-d6bb-4bd2-84fb-f6cd3888306f · inbound

Fairshare Data Pricing via Data Valuation for Large Language Models cites this paper.

Fairshare Data Pricing via Data Valuation for Large Language Models Fine-Tuning is Fine, if Calibrated

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-09T19:57:42.975439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39626fdb-5e17-4880-bc70-ba4fe442f876 · inbound

WHISTRESS: Enriching Transcriptions with Sentence Stress Detection cites this paper.

WHISTRESS: Enriching Transcriptions with Sentence Stress Detection Fine-Tuning is Fine, if Calibrated

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:39.022594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa68052-a102-4428-9b25-e99982a4a814 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Fine-Tuning is Fine, if Calibrated

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.964261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3211a905-b398-4d1a-9ca7-739a36d592e3 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Fine-Tuning is Fine, if Calibrated

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:34:47.509631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.