Paper Citation Record · LEDGER

Calibration in Deep Learning: A Survey of the State-of-the-Art

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2308.01222.

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

pith.paper-citation-record.v1
2308.01222 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:39.707347Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

14
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 595267ec-3e93-4728-b3cd-faab65e0435f · inbound

Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation cites this paper.

Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 5

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Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones cites this paper.

Performance Control in Early Exiting to Deploy Large Models at the Same Cost of Smaller Ones Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 47

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Observation d13f387a-2a07-45f3-8d60-c8744737a845 · inbound

Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction cites this paper.

Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 16

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DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning cites this paper.

DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 66

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Observation ce5b9398-133c-4ad7-9377-f550db4f1a13 · inbound

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models cites this paper.

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 55

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Observation d4a3d06b-559e-45f4-ac6b-82a4700352e1 · inbound

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools cites this paper.

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 50

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Observation d9b9433a-d07c-4f94-ba50-dd8ecc90cf57 · inbound

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement cites this paper.

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 85

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Observation 4797ec18-cf05-478e-8787-e9a4e296d59a · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 106

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Observation 8b4455c9-5e2b-42ee-9fab-80fb80eabbc3 · inbound

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization cites this paper.

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 70

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Observation 4569844e-db5e-4f1a-9c63-563c969e54f3 · inbound

Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations cites this paper.

Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 48

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Observation 42d65214-51cc-499d-b5be-6df57fdf8f46 · inbound

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift cites this paper.

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:40.981729Z

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Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 40

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Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models cites this paper.

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 47

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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 in Deep Learning: A Survey of the State-of-the-Art

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:01.439755Z

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Observation b0347c0e-bc95-430e-a3bc-63afe8148363 · inbound

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cites this paper.

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 139

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:07.781983Z

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Observation 7764af8f-8088-48c0-997f-be5d67c9120b · inbound

Calibeating Prediction-Powered Inference cites this paper.

Calibeating Prediction-Powered Inference Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.983339Z

Source-reported events for the cited work

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Observation 50cb27e0-18e8-4081-bb33-ebf42c16b8a7 · inbound

Inducing Artificial Uncertainty in Language Models cites this paper.

Inducing Artificial Uncertainty in Language Models Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:55.550039Z

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Observation 8692def0-9075-4925-9b0a-b7d80c604cdd · inbound

SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$\gamma$ discrimination cites this paper.

SINAPSE: A lightweight deep learning framework for accurate and explainable neutron-$\gamma$ discrimination Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:52:33.055698Z

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Observation fc928b54-9f42-4832-9c68-29884d360e56 · inbound

Same Target, Different Basins: Hard vs. Soft Labels for Annotator Distributions cites this paper.

Same Target, Different Basins: Hard vs. Soft Labels for Annotator Distributions Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:29:42.098044Z

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Observation c8eb985d-ff10-43f3-92d2-ce4e96fbb545 · inbound

Divide et Calibra: Multiclass Local Calibration via Vector Quantization cites this paper.

Divide et Calibra: Multiclass Local Calibration via Vector Quantization Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.410911Z

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Observation 7d44cf16-30e3-4577-8d1d-5e29aca22712 · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:14:45.441406Z

Source-reported events for the cited work

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Observation ecf23bd0-6f1a-49d2-8fa3-46164c72533c · inbound

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming cites this paper.

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:54:58.843224Z

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Observation 4e79a754-30d8-47a8-afc2-1be2686dc3d2 · inbound

Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis cites this paper.

Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.056161Z

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Observation 94cc7d14-da70-4fdd-92e1-d5e713512f24 · inbound

The Score Granularity Gap in Black-Box LLM Classification: A Comparative Study of Confidence Constructions cites this paper.

The Score Granularity Gap in Black-Box LLM Classification: A Comparative Study of Confidence Constructions Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 15

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Observation 6ee43ddc-2bfe-47b4-9945-a653d39e214c · inbound

PUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation cites this paper.

PUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-09T18:46:26.590543Z

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Observation 1ada7593-ebfb-4384-a4b5-011ace60275d · inbound

CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence cites this paper.

CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 14

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Observation c716885e-d013-448c-aece-238fb65adb0f · inbound

Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data cites this paper.

Goodness-of-Fit Tests and Calibration Machine-Learning Algorithms for Logistic Regression with Sparse Data Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-12T05:27:17.748229Z

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Unavailable: canonical work link unavailable.