Paper Citation Record · LEDGER

Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.19249.

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

pith.paper-citation-record.v1
2305.19249 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:21.446432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:18:07.001231Z

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 6a428f17-441c-4495-b920-10589e7e418f · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:21.446432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b851a32c-b487-4a7b-b4ff-a4f29c10ff30 · inbound

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered cites this paper.

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:25.847025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508e78f9-fa73-48d0-9ba2-bb3920c27b89 · inbound

Optimising Language Models for Downstream Tasks: A Post-Training Perspective cites this paper.

Optimising Language Models for Downstream Tasks: A Post-Training Perspective Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:44.002754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490c1a7e-70cc-4aae-bfb3-da5932207987 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:52.749933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2ad652-dbb3-4615-91d5-78c3c7c368f6 · inbound

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates cites this paper.

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:18:07.003009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9363f261-8615-4810-b1a8-b28d4011c611 · inbound

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings cites this paper.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T07:42:06.462698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6174ec00-a6bd-4ed3-a318-c8d8c68cea11 · inbound

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings cites this paper.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T07:07:57.295329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.