Paper Citation Record · LEDGER

Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.16856.

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

pith.paper-citation-record.v1
2405.16856 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:09:16.917320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:48:20.492073Z

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 5fcd06d9-c437-4e48-b1d7-af849c6a383a · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:48:20.495069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42eba806-e371-41b0-9bcf-25f615400423 · inbound

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning cites this paper.

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:47:42.601393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e69d5d50-a93b-43e1-8eab-2580920878f0 · inbound

Scaling Truth: The Confidence Paradox in AI Fact-Checking cites this paper.

Scaling Truth: The Confidence Paradox in AI Fact-Checking Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T20:09:16.917320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de8b833-6476-47c1-80c1-0eaca50c7066 · inbound

Decision Protocols in Multi-Agent Large Language Model Conversations cites this paper.

Decision Protocols in Multi-Agent Large Language Model Conversations Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-11T10:52:59.410307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b5695a-dedf-4a5f-9f3d-ad819165ee49 · inbound

Reliability Scaling Laws for Quantized Large Language Models cites this paper.

Reliability Scaling Laws for Quantized Large Language Models Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 141

Resolution: unresolved; no resolver link, observed 2026-07-14T08:45:52.855783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.