Paper Citation Record · LEDGER

Understanding Softmax Confidence and Uncertainty

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.04972.

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

pith.paper-citation-record.v1
2106.04972 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:48.772333Z

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

47
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 e028b19b-8c6a-47f9-ab94-6996b5cbd4db · inbound

Recursive Offloading for LLM Serving in Multi-tier Networks cites this paper.

Recursive Offloading for LLM Serving in Multi-tier Networks Understanding Softmax Confidence and Uncertainty

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:48.772333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f3f887-2338-4535-bbcf-fdbf18cc88b3 · inbound

TRUST: Test-time Resource Utilization for Superior Trustworthiness cites this paper.

TRUST: Test-time Resource Utilization for Superior Trustworthiness Understanding Softmax Confidence and Uncertainty

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T06:07:08.191362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab18f9b-0916-4f6d-8031-af8990ef2b28 · inbound

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning cites this paper.

VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning Understanding Softmax Confidence and Uncertainty

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:01.453516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c80dd18-9934-4ddc-a759-ed1ece9e37c7 · inbound

Uncertainty-Aware Transformers: Conformal Prediction for Language Models cites this paper.

Uncertainty-Aware Transformers: Conformal Prediction for Language Models Understanding Softmax Confidence and Uncertainty

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:47:08.402335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7898505e-c3a7-4917-ac48-d9cd466fd087 · inbound

Uncertainty-Aware Transformers: Conformal Prediction for Language Models cites this paper.

Uncertainty-Aware Transformers: Conformal Prediction for Language Models Understanding Softmax Confidence and Uncertainty

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:55:46.860303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fefed2aa-82e7-424e-a443-99a84743e98c · inbound

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts cites this paper.

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts Understanding Softmax Confidence and Uncertainty

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T04:05:21.655970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.