Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.01216.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:39:30.862992Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:37:56.429514Z
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 c9ed7f13-ad76-4456-b6b6-c605edfd4af0 · inbound
Improving Backward Conformal Prediction via Non-Conformity Score Transformation cites this paper.
Improving Backward Conformal Prediction via Non-Conformity Score Transformation API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:20:13.841245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 720e2e4d-425e-4f5c-9ab2-a1b421e2c27b · inbound
Improving Backward Conformal Prediction via Non-Conformity Score Transformation cites this paper.
Improving Backward Conformal Prediction via Non-Conformity Score Transformation API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:39:30.862992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c507c2ee-29cc-4bcc-bfba-7708a77ee0be · inbound
From Debate to Decision: Conformal Social Choice for Safe Multi-Agent Deliberation cites this paper.
From Debate to Decision: Conformal Social Choice for Safe Multi-Agent Deliberation API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:15:54.486787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a1da718d-9dd6-4327-a370-d3f0c4421f2b · inbound
Differentiable Conformal Training for LLM Reasoning Factuality cites this paper.
Differentiable Conformal Training for LLM Reasoning Factuality API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:26:05.920996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9eb476e9-9609-4e28-b0f0-15d2931f084c · inbound
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration cites this paper.
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:00:53.498964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 92b5a000-0183-410e-8049-4f5ea73a3825 · inbound
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering cites this paper.
Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:58:06.180322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c88f406b-68f5-4378-952a-2404955395ad · inbound
Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees cites this paper.
Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:17:24.670944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3f5e9dd1-8164-4711-a195-c7e059954e24 · inbound
Strategic Decision Support for AI Agents cites this paper.
Strategic Decision Support for AI Agents API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:37:56.430986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.