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Paper Citation Record · LEDGER

Measuring Calibration in Deep Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1904.01685.

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

pith.paper-citation-record.v1
1904.01685 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:03:50.510855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.829190Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cff6217e-faf4-43c5-9526-be446b333ca0 · inbound

Teaching Models to Express Their Uncertainty in Words cites this paper.

Teaching Models to Express Their Uncertainty in Words Measuring Calibration in Deep Learning

Reference 20

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verified exact
arxiv_id, observed 2026-05-16T17:36:08.615401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b80223f6-5d22-4221-a030-5158c094926a · inbound

Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models cites this paper.

Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models Measuring Calibration in Deep Learning

Reference 75

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no resolver link, observed 2026-08-09T00:03:50.510855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd651edf-2bc1-4d16-9013-1ecb8d673365 · inbound

MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages cites this paper.

MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages Measuring Calibration in Deep Learning

Reference 25

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no resolver link, observed 2026-08-06T22:13:17.780908Z

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Unavailable: canonical work link unavailable.

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Observation a24ca209-c0a2-4db1-bd2c-995337419308 · inbound

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

Instance-Wise Monotonic Calibration by Constrained Transformation Measuring Calibration in Deep Learning

Reference 2020

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no resolver link, observed 2026-08-06T19:06:50.323717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:06:50.323717Z digest=sha256:6fb2058e9e236ed99246e10aa6989567a03cd5e48424e5f1df1b2b945736ff29

Observation b01d28c9-5d7b-4357-9db7-b5ef5a5cc74c · inbound

Pragmatic Policy Development via Interpretable Behavior Cloning cites this paper.

Pragmatic Policy Development via Interpretable Behavior Cloning Measuring Calibration in Deep Learning

Reference 2020

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no resolver link, observed 2026-08-06T15:04:38.845945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:38.845945Z digest=sha256:267a5b299e67867ef4a08503ea0de4e64cc5d907e5a2229a9f2626b1ddc62d7f

Observation 7d27ab26-920c-49f6-9777-af0327ee5d1c · inbound

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs cites this paper.

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs Measuring Calibration in Deep Learning

Reference 43

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no resolver link, observed 2026-08-04T09:33:43.792683Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:33:43.792683Z digest=sha256:a392e5a5dd9584266bac5c9bfcafd0a3d24ede8749c559c03203d983cb8c8dc3

Observation ff235d6a-c265-4016-9335-efd5a9d28cb3 · inbound

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning cites this paper.

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning Measuring Calibration in Deep Learning

Reference 2025

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no resolver link, observed 2026-08-03T11:01:24.780243Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:24.780243Z digest=sha256:70313c14133326b94e767ea193ff4ce3cce679c6f94bc71025edeb7935db56b1

Observation 5c1d2c13-e21d-4e0b-8cbf-2a72807fabd6 · inbound

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction cites this paper.

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction Measuring Calibration in Deep Learning

Reference 23

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verified exact
arxiv_id, observed 2026-05-13T20:43:14.791256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:42:13.955407Z digest=sha256:0c1034fc302dd8613d798632d53b1dc3a7de0ee55fea05de23499eef588ff7e8

Observation 977e61ee-c4c8-4e5c-b997-53b28a6d8923 · inbound

Pandora's Regret: A Proper Scoring Rule for Evaluating Sequential Search cites this paper.

Pandora's Regret: A Proper Scoring Rule for Evaluating Sequential Search Measuring Calibration in Deep Learning

Reference 107

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verified exact
arxiv_id, observed 2026-05-11T10:25:59.440945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T15:31:09.276548Z digest=sha256:c86705f5993d3d8471493d8907eeea03bd02c3b7de38e4efcd36962770a82e0d

Observation c7337498-82eb-4db9-b384-be3957cb9550 · inbound

ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading cites this paper.

ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading Measuring Calibration in Deep Learning

Reference 26

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verified exact
arxiv_id, observed 2026-07-04T06:09:37.830793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:44:21.775023Z digest=sha256:b7595c989d939830e4823c3803a306d87d43026956101004f5d41d3e0b8d94de

Observation 5b26ce17-3375-44a6-927c-2d193ce65f4f · inbound

Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers cites this paper.

Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers Measuring Calibration in Deep Learning

Reference 8

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no resolver link, observed 2026-07-14T04:52:20.985671Z

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Unavailable: canonical work link unavailable.

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Observation 87491678-c4a0-491d-975f-bd46dc199950 · inbound

BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization cites this paper.

BG-REAL: A Public Real-Data Anchored Benchmark for Background Manipulation Detection and Localization Measuring Calibration in Deep Learning

Reference 25

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unresolved
no resolver link, observed 2026-08-01T00:29:29.594870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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