Paper Citation Record · LEDGER

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling

As of 3 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 1 inbound Pith citation observation for arXiv:2604.07172.

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

pith.paper-citation-record.v1
2604.07172 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:49:28.046416Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:45:18.231635Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact1
verified fuzzy5
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b063875a-e48a-4455-b46a-4a5f4ced8a6c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling LoRA: Low-Rank Adaptation of Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:01:02.994885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 367be8c5-2c77-45be-86e8-a89d3eb511e4 · outbound

This paper cites [Yes] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm.

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling [Yes] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:51:40.434196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 10c5923a-d365-4607-b680-68c6173f4666 · outbound

This paper cites [Not Applicable] (b) Complete proofs of all theoretical results.

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling [Not Applicable] (b) Complete proofs of all theoretical results

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:51:40.430067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d782f654-564e-4da2-8cf2-4c84a626c27d · outbound

This paper cites [Yes] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen).

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling [Yes] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:51:40.424943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 43b72c8e-0889-4ca4-a800-e484bec23098 · outbound

This paper cites [Yes] (b) The license information of the assets, if appli- cable.

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling [Yes] (b) The license information of the assets, if appli- cable

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:51:40.440448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ecf3ca6a-1c2d-49a6-85e0-24553b561b20 · outbound

This paper cites 20” vs. “twenty.

Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling 20” vs. “twenty

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:51:40.437422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation c6b6bbb4-79b3-4ac5-8855-3081e01759d7 · inbound

Rethinking Uncertainty Evaluation in Large Language Models cites this paper.

Rethinking Uncertainty Evaluation in Large Language Models Improving Semantic Uncertainty Quantification in Language Model Question-Answering via Token-Level Temperature Scaling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T11:45:18.231635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.