Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.20974.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:09.680092Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:58:32.510278Z
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 799ab5cf-8ef6-4945-b6ce-0e7fff4890e3 · inbound
When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.
When One LLM Drools, Multi-LLM Collaboration Rules SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 122
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:33:09.680092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 295cd4d6-2235-4904-b95c-1f4ed67d338b · inbound
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents cites this paper.
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:08:19.736992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 812c28b7-76cc-4be2-b8a7-6234dd847183 · inbound
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration cites this paper.
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:56:28.308636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6016f046-b748-46a3-b739-b406c6ab5052 · inbound
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs cites this paper.
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:44:14.955084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 969ca864-0da3-4194-b126-a7aa7b45741d · 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 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:52.625268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f57dc893-864e-48b0-9cf1-e92c0ee984f7 · inbound
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards cites this paper.
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:50:02.376926Z
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 7e65ec84-4a9a-4def-9908-26dff068f70f · inbound
When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs cites this paper.
When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T12:15:43.632485Z
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 e4203c6f-4cda-4d68-be6c-6ad5a5189135 · inbound
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling cites this paper.
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:58:32.511771Z
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.