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Paper Citation Record · LEDGER

Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.11586.

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

pith.paper-citation-record.v1
1810.11586 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:14:39.255114Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 98db78ac-e768-4907-8873-09a16e8722fd · inbound

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling cites this paper.

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T23:14:39.255114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:14:39.255114Z digest=sha256:4dd6a1939eb2121aae8a1ec3aee841c0bcd0418aabb972e1ce90c693e0ab4d1e

Observation a1789fe2-3669-4317-945f-61b7b53b8766 · inbound

ADS-C: Antidistillation Sampling for Classification cites this paper.

ADS-C: Antidistillation Sampling for Classification Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T23:20:44.982351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:20:44.982351Z digest=sha256:bcda73377c82aba887c1bdeb120637c2ed026471ecf2e089a8b3a542f797459c