Paper Citation Record · LEDGER

Rethinking the Hyperparameters for Fine-tuning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.11770.

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

pith.paper-citation-record.v1
2002.11770 v1

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:34:56.110019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:13:06.595594Z

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 dc818505-8079-4dcf-aa7a-0020e1f30370 · inbound

On dataset transferability in medical image classification cites this paper.

On dataset transferability in medical image classification Rethinking the Hyperparameters for Fine-tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T23:34:56.110019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586d881e-f31c-4e64-bfb9-a1518630b32e · inbound

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis cites this paper.

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis Rethinking the Hyperparameters for Fine-tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:37.321692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1267042-a575-4b7a-b923-6dc0cba56cd7 · inbound

Training Neural Networks with Optimal Double-Bayesian Learning cites this paper.

Training Neural Networks with Optimal Double-Bayesian Learning Rethinking the Hyperparameters for Fine-tuning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:13:06.597250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cdc848b2-b0c1-4663-8207-82580dd2c986 · inbound

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry cites this paper.

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry Rethinking the Hyperparameters for Fine-tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T09:29:11.943448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.