Paper Citation Record · LEDGER

On the Calibration of Large Language Models and Alignment

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.13240.

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

pith.paper-citation-record.v1
2311.13240 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:44.151209Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a87bfae7-020c-44ed-b776-53c292a5ce15 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science On the Calibration of Large Language Models and Alignment

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T21:54:44.151209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 864dbaf1-c6ba-43e7-b449-72161273272c · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions On the Calibration of Large Language Models and Alignment

Reference 257

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:55.279972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8437b2c8-1af5-4ddd-9ab1-d93fa3439987 · inbound

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment cites this paper.

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment On the Calibration of Large Language Models and Alignment

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T12:16:31.919947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67f2b2d-64a1-4bb2-8c10-be4a637f5c63 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? On the Calibration of Large Language Models and Alignment

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:13.884549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561c4e14-e924-45c8-ab52-42a5b1aa0943 · inbound

Revisiting Uncertainty Estimation and Calibration of Large Language Models cites this paper.

Revisiting Uncertainty Estimation and Calibration of Large Language Models On the Calibration of Large Language Models and Alignment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:39.079405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4e0e2c-0c52-435b-905e-86c6bbb6993f · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning On the Calibration of Large Language Models and Alignment

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:37:32.156739Z

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 0c64c004-22e3-4e77-99fc-1cd0ab47cef2 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning On the Calibration of Large Language Models and Alignment

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:11:18.154781Z

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 603f4fad-9633-4425-b0c5-72606c716d67 · inbound

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs cites this paper.

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs On the Calibration of Large Language Models and Alignment

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T10:04:51.542719Z

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.