Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Calibration of Pre-trained Transformers
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2003.07892.
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 2026-08-05T17:15:15.264309Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 ed160329-7e15-485c-ab7a-68877e8b3986 · inbound
Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know Calibration of Pre-trained Transformers
Reference 215
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T15:42:47.465006Z
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 9fdc70a5-57a0-412d-aa66-1dd7164fce55 · inbound
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Calibration of Pre-trained Transformers
Reference 98
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.889491Z
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 77276f47-a299-416c-b4f7-ba76b150ad97 · inbound
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models Calibration of Pre-trained Transformers
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:15:15.264309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a846bff-15b6-4b41-89bf-9fd68e79300a · inbound
Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning cites this paper.
Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning Calibration of Pre-trained Transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:02:40.802397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c19578df-0c2a-4165-bccc-dbd84e60ec59 · inbound
Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.
Calibrating Model-Based Evaluation Metrics for Summarization Calibration of Pre-trained Transformers
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:41:37.016778Z
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 bc5261c4-75b8-4373-8bf1-c7c1b6025e63 · inbound
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication cites this paper.
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication Calibration of Pre-trained Transformers
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:11:57.276127Z
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 f86ccc68-9995-47e2-994c-dffaf0cfb04d · inbound
On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.
On the Blessing of Pre-training in Weak-to-Strong Generalization Calibration of Pre-trained Transformers
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:36:08.728714Z
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 e91b1802-afbc-4d12-a46f-1535fbc7ed53 · inbound
Can LLM Rerankers Predict Their Own Ranking Performance? cites this paper.
Can LLM Rerankers Predict Their Own Ranking Performance? Calibration of Pre-trained Transformers
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:16:39.667282Z
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.