Paper Citation Record · LEDGER

Calibration of Neural Networks using Splines

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.12800.

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

pith.paper-citation-record.v1
2006.12800 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:49.787639Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.900250Z

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 45cdcbb9-999c-43b9-9aa7-8d022a320198 · inbound

Instance-Wise Monotonic Calibration by Constrained Transformation cites this paper.

Instance-Wise Monotonic Calibration by Constrained Transformation Calibration of Neural Networks using Splines

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:49.787639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182e3324-c373-4e1e-90a8-284b051db8e4 · 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 Calibration of Neural Networks using Splines

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:02.649414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9be5c9a3-b446-42d1-aca4-f9d542d772ca · inbound

Risk-Controlled Post-Processing of Decision Policies cites this paper.

Risk-Controlled Post-Processing of Decision Policies Calibration of Neural Networks using Splines

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:16.948833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 720c674b-4719-4cee-92e0-659f039b134f · inbound

When to Answer and When to Defer: A Decision Framework for Reliable Code Predictions cites this paper.

When to Answer and When to Defer: A Decision Framework for Reliable Code Predictions Calibration of Neural Networks using Splines

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.287858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5855b324-d3b3-479d-9417-84bd98cd5774 · inbound

Eigenvalue Calibration for Semantic Embeddings of Large Language Models cites this paper.

Eigenvalue Calibration for Semantic Embeddings of Large Language Models Calibration of Neural Networks using Splines

Reference 277

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:36:59.902287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.