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Paper Citation Record · LEDGER

On Computationally Efficient Multi-Class Calibration

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07821.

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

pith.paper-citation-record.v1
2402.07821 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:24.701444Z

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

0
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 1f9fdf3b-2171-4331-8a6e-aa7208b8a2ad · inbound

Dimension-Free Decision Calibration for Nonlinear Loss Functions cites this paper.

Dimension-Free Decision Calibration for Nonlinear Loss Functions On Computationally Efficient Multi-Class Calibration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:24.701444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:35:24.701444Z digest=sha256:270b496ed323e8986cd75e7f75d9bb6a78501d7ee4708d938c3c5f45d3e57df2

Observation 0dbae29e-e0ca-4c7e-8cbd-26a9e426f19b · inbound

Smoothed Elicitation Complexity for Approximate $\Gamma$-calibration of Discrete Classification Tasks cites this paper.

Smoothed Elicitation Complexity for Approximate $\Gamma$-calibration of Discrete Classification Tasks On Computationally Efficient Multi-Class Calibration

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:50:22.939721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T05:47:40.072356Z digest=sha256:509287b8fd7a09208f20836e39c8e71947c821efbda93f2628a481bd952466ef