Paper Citation Record · LEDGER

Self-Evaluation Improves Selective Generation in Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2312.09300.

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

pith.paper-citation-record.v1
2312.09300 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:41.293185Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cfb76883-5cdf-491e-a305-94a0f37cfa64 · inbound

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities cites this paper.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Self-Evaluation Improves Selective Generation in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:09:41.293185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af32a78b-1b32-4a7d-a691-36ae360ce255 · inbound

Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure cites this paper.

Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure Self-Evaluation Improves Selective Generation in Large Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T06:22:38.149161Z

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 6bec89a1-dd8e-4e16-a08f-6671ebf8f2e7 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Self-Evaluation Improves Selective Generation in Large Language Models

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:51.170307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d35c88ee-c2bb-439a-8f80-47caf66edce0 · inbound

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling cites this paper.

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling Self-Evaluation Improves Selective Generation in Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-04T17:41:06.105394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f542b4-5de9-43d5-9807-fa28d57eefe7 · inbound

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning cites this paper.

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning Self-Evaluation Improves Selective Generation in Large Language Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:25:58.792032Z

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 9896e7b5-5469-44fb-a36f-ba94498d29e3 · inbound

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training cites this paper.

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training Self-Evaluation Improves Selective Generation in Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:31:07.349481Z

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 010f5c6c-2c27-429a-8a8f-bb9ad7972d69 · inbound

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence cites this paper.

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence Self-Evaluation Improves Selective Generation in Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:55.067725Z

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 9706504a-aec0-4209-a7e7-2d55a1634cf3 · inbound

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence cites this paper.

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence Self-Evaluation Improves Selective Generation in Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:20:23.730501Z

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 eed02d19-9a00-470d-9c3d-00f78c060fba · inbound

Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning cites this paper.

Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning Self-Evaluation Improves Selective Generation in Large Language Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:22:06.783641Z

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 5136dd9f-9d3a-47fe-b40b-b4fe2290efc9 · inbound

Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information cites this paper.

Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information Self-Evaluation Improves Selective Generation in Large Language Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:43:25.834914Z

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 14a11cff-b6e5-44eb-92c6-28e85ee47846 · inbound

AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows cites this paper.

AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows Self-Evaluation Improves Selective Generation in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T23:19:22.502759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67655b3e-9f34-4399-b295-e087dc2bc50b · inbound

FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting cites this paper.

FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting Self-Evaluation Improves Selective Generation in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T23:08:17.417909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.