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Paper Citation Record · LEDGER

Revisiting Energy-Based Model for Out-of-Distribution Detection

As of 21 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 0 inbound Pith citation observations for arXiv:2412.03058.

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

pith.paper-citation-record.v1
2412.03058 v1

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

100 of 108 outbound references displayed

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Outbound references

Observation 5a3c9261-ad97-441f-bd69-97a4d864ad71 · outbound

This paper cites Outlier detection for high dimensional data,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Outlier detection for high dimensional data,

Reference 1

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Observation adfb6c31-75fe-427a-bd98-ab985534b83b · outbound

This paper cites A survey of outlier detection methodologies,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A survey of outlier detection methodologies,

Reference 2

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Observation a5c63f4e-ca42-4489-b1c7-b51e9450993d · outbound

This paper cites Outlier detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Outlier detection,

Reference 3

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Observation 327950d0-3480-4e71-9165-b577ded0c73b · outbound

This paper cites Progress in outlier detection techniques: A survey,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Progress in outlier detection techniques: A survey,

Reference 4

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Observation 7432bafd-4b9a-4db5-8fcf-58c2d87b8cce · outbound

This paper cites Concrete Problems in AI Safety.

Revisiting Energy-Based Model for Out-of-Distribution Detection Concrete Problems in AI Safety

Reference 5

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Observation 0b14da18-b55c-4f94-8c4e-50023f42c529 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks,

Reference 6

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Observation 82ddacf9-cfb4-45b9-8f90-0ccd54cfe5c9 · outbound

This paper cites Steps toward robust artificial intelligence,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Steps toward robust artificial intelligence,

Reference 7

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Observation 221e89ae-69c7-4889-a92e-87bb69746952 · outbound

This paper cites AI Safety Gridworlds.

Revisiting Energy-Based Model for Out-of-Distribution Detection AI Safety Gridworlds

Reference 8

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Observation 51f4e46a-9cf7-4eb2-9803-aa95c50c853f · outbound

This paper cites The EU approach to ethics guidelines for trustworthy artificial intelligence,.

Revisiting Energy-Based Model for Out-of-Distribution Detection The EU approach to ethics guidelines for trustworthy artificial intelligence,

Reference 9

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Observation 2f74d480-1d7b-4ae9-953c-7e74e6e25a6b · outbound

This paper cites Bridging the gap between ethics and practice: Guide- lines for reliable, safe, and trustworthy Human-Centered AI systems,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Bridging the gap between ethics and practice: Guide- lines for reliable, safe, and trustworthy Human-Centered AI systems,

Reference 10

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Observation 0f33eb6a-3eff-4593-be56-092dfc7072b2 · outbound

This paper cites Taxonomy of Machine Learning Safety: A Survey and Primer.

Revisiting Energy-Based Model for Out-of-Distribution Detection Taxonomy of Machine Learning Safety: A Survey and Primer

Reference 11

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Observation 9bba11e7-5f2a-4b03-9600-639c2516c18c · outbound

This paper cites Unsolved Problems in ML Safety.

Revisiting Energy-Based Model for Out-of-Distribution Detection Unsolved Problems in ML Safety

Reference 12

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Observation 4bdfeb80-9511-466f-b76d-bbd9c8775a72 · outbound

This paper cites X-Risk Analysis for AI Research.

Revisiting Energy-Based Model for Out-of-Distribution Detection X-Risk Analysis for AI Research

Reference 13

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Observation 1c55d2c1-390c-4f58-b468-94d276ebb482 · outbound

This paper cites Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Im- ages,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Im- ages,

Reference 14

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Observation 2bc61af5-95ee-46ac-9a03-208028d89eec · outbound

This paper cites Why ReLU Networks Yield High-Confidence Predictions Far Away from the Training Data and How to Mitigate the Problem,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Why ReLU Networks Yield High-Confidence Predictions Far Away from the Training Data and How to Mitigate the Problem,

Reference 15

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Observation cf15df17-2cb1-4036-a3e4-552411e438b1 · outbound

This paper cites Standardized Max Logits: A Simple Yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Standardized Max Logits: A Simple Yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation,

Reference 16

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Observation e8f358bd-b048-4d0c-8ca1-09633a262790 · outbound

This paper cites A systematic review of outliers detection techniques in medical data-preliminary study,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A systematic review of outliers detection techniques in medical data-preliminary study,

Reference 17

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Observation 55baa243-b297-4094-a9bc-fc8b66440f40 · outbound

This paper cites Outlier detection for patient monitoring and alerting,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Outlier detection for patient monitoring and alerting,

Reference 18

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Observation b1495e1a-3f31-46a3-9cab-acf40e9df7a2 · outbound

This paper cites OpenOOD: Benchmarking Generalized Out-of-Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection OpenOOD: Benchmarking Generalized Out-of-Distribution Detection,

Reference 19

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Observation ad3feb38-2cc0-49e5-9e70-e2a2cf228598 · outbound

This paper cites OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Revisiting Energy-Based Model for Out-of-Distribution Detection OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

Reference 20

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Observation 0f18c733-55f4-48bb-a679-553dd3948db1 · outbound

This paper cites Deep Anomaly Detec- tion with Outlier Exposure,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Deep Anomaly Detec- tion with Outlier Exposure,

Reference 21

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Observation 3be8e7cf-33cd-4ed6-a4ee-bee30f2f6db3 · outbound

This paper cites Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy,

Reference 22

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Observation 5838cb91-73b3-4cd8-8407-9c45dc55505d · outbound

This paper cites Energy-Based Out-of- Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Energy-Based Out-of- Distribution Detection,

Reference 23

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Observation fa0e5474-0445-400a-9561-a098e4480aa8 · outbound

This paper cites Self-Supervised Learning for Generalizable Out-of-Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Self-Supervised Learning for Generalizable Out-of-Distribution Detection,

Reference 24

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Observation 3f55671d-ae58-4831-a41a-e9f22329aecf · outbound

This paper cites Atom: Robustifying out- of-distribution detection using outlier mining,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Atom: Robustifying out- of-distribution detection using outlier mining,

Reference 25

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Observation ea52676a-b33f-4fcc-940c-fae5aad395d0 · outbound

This paper cites An Effective Baseline for Robustness to Distributional Shift.

Revisiting Energy-Based Model for Out-of-Distribution Detection An Effective Baseline for Robustness to Distributional Shift

Reference 26

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Observation 750d06f8-1126-46d2-84a1-bb36934fb5c5 · outbound

This paper cites Background data resampling for outlier- aware classification,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Background data resampling for outlier- aware classification,

Reference 27

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Observation 50eb676c-33e9-49ec-a3fc-28049f00c241 · outbound

This paper cites Outlier Exposure with Confidence Control for Out-of-Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Outlier Exposure with Confidence Control for Out-of-Distribution Detection,

Reference 28

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Observation 8cc67f3d-c8af-4684-8952-9fd6b0943716 · outbound

This paper cites Poem: Out-of-distribution detection with posterior sampling,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Poem: Out-of-distribution detection with posterior sampling,

Reference 29

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Observation 3eab03be-675d-4109-b304-3b9809db174c · outbound

This paper cites Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments,

Reference 30

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Observation f4d5ba76-340e-4d57-b7ce-dbc9b55c7317 · outbound

This paper cites Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images,

Reference 31

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Observation fa1a8cda-098e-49e9-926c-851a50959bf5 · outbound

This paper cites Learning to augment distributions for out-of-distribution detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Learning to augment distributions for out-of-distribution detection,

Reference 32

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Observation dd5f42f0-f5ac-44bd-8653-e0f0e99f9fee · outbound

This paper cites A Unifying Review of Deep and Shallow Anomaly Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A Unifying Review of Deep and Shallow Anomaly Detection,

Reference 33

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This paper cites Unsupervised Representation Learning by Predicting Image Rotations,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Unsupervised Representation Learning by Predicting Image Rotations,

Reference 34

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Observation 2d306dae-4e65-48a1-b0b3-efdc3189d0b6 · outbound

This paper cites Design of an Image Edge Detection Filter Using the Sobel Operator,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Design of an Image Edge Detection Filter Using the Sobel Operator,

Reference 35

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Observation d12a4ff2-d457-45e6-a8f6-804215f3f11a · outbound

This paper cites A Tu- torial on Energy-Based Learning,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A Tu- torial on Energy-Based Learning,

Reference 36

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Observation 8aef4ae5-468a-4a16-a0b9-bd734879a684 · outbound

This paper cites CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances,.

Revisiting Energy-Based Model for Out-of-Distribution Detection CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances,

Reference 37

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Observation c3dd27b7-43e5-4826-8885-b40a6e8d49cb · outbound

This paper cites OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.658005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.832381Z digest=sha256:4353316681ffa1188d050aa63aae6593fab6339f443ed6bf5dd8360a155e86fa

Observation 7cbe8029-20a9-4f08-92b1-58aaad5d8cd8 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.649837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.834862Z digest=sha256:03a36443615612123e348fce55cd0f4ed92e32cb3c78a0f4415326ae9e4b416c

Observation eb6988d9-77d7-4fa3-b67e-54abc60828e5 · outbound

This paper cites Detecting Out-of-Distribution Examples with Gram Matrices,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Detecting Out-of-Distribution Examples with Gram Matrices,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.641818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.837963Z digest=sha256:e84d35cfa8529e57f253ea73a0e252b754a83ebf240d9b6e5dd4d56ee43bc1b5

Observation 83025099-7172-43c1-856e-381d18ad72c8 · outbound

This paper cites Out-of-Distribution Detection with Deep Nearest Neighbors,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Out-of-Distribution Detection with Deep Nearest Neighbors,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.633571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.840842Z digest=sha256:9079097f936b3091b8879b162a7bc9807bed301cd5207e8e1f13390abbc4a142

Observation 2b912ff5-897f-4bb2-8bc7-ff4f0b12bc47 · outbound

This paper cites Out-of-distribution detection based on in- distribution data patterns memorization with modern hopfield energy,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Out-of-distribution detection based on in- distribution data patterns memorization with modern hopfield energy,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.625437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.843359Z digest=sha256:b295a0ffc48989d993a084acf4c6b0a3b97b80c7fd2cbd583da710b83ad4e5f5

Observation bb4253ac-8127-452a-8409-46f135487707 · outbound

This paper cites Enhancing The Reliability of Out-of- Distribution Image Detection in Neural Networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Enhancing The Reliability of Out-of- Distribution Image Detection in Neural Networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.617324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.846336Z digest=sha256:0d4cf73a00fab12381b9efdb4a53bfde5e5cb30884563414a1661fbedfa3ff46

Observation 34778a5d-6d7a-416f-bd10-eaf167404e6a · outbound

This paper cites Scaling out-of-distribution detection for real-world settings,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Scaling out-of-distribution detection for real-world settings,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.609216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.849195Z digest=sha256:1193dc9030917fbf7ae1c015e208913025a87ea6cf376dce42b59a65224b4e79

Observation 45bd06cf-2566-4626-ac0e-c94b01bb7a2b · outbound

This paper cites Mood: Multi-level out-of-distribution detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Mood: Multi-level out-of-distribution detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.600502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.851774Z digest=sha256:ee510b60df753e1fbea3153479abb8ef163a1f9b21b7c2f65b7f7f03983ef316

Observation 51ef7ff1-3a5a-4dca-a106-307310264d3f · outbound

This paper cites Your Classifier is Secretly an Energy Based Model and You Should Treat It Like One,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Your Classifier is Secretly an Energy Based Model and You Should Treat It Like One,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.592127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.854335Z digest=sha256:c6adda3f64f4f1d048b6d516924956485f1f059211ebf9a1a2d3e8616a313490

Observation 596e5d4a-eb67-442f-a591-a84de8de4e00 · outbound

This paper cites Provable guarantees for understanding out- of-distribution detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Provable guarantees for understanding out- of-distribution detection,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.584138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.856886Z digest=sha256:d88dc203b25cf9ca5dfdd668bf2736f80519840d77c629825c6fb094144d9b8a

Observation 01739191-2749-410c-b985-20ab6b142984 · outbound

This paper cites REAct: Out-of-Distribution Detection with Rectified Activations,.

Revisiting Energy-Based Model for Out-of-Distribution Detection REAct: Out-of-Distribution Detection with Rectified Activations,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.576259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.859418Z digest=sha256:cec60a75886c756ad5a9aad9c9626ebb9135970604f9b35ee5024fb62a3e3fd9

Observation 005bd861-55d7-4078-88e1-cbd9c9a90c62 · outbound

This paper cites Neural mean discrepancy for efficient out-of-distribution detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Neural mean discrepancy for efficient out-of-distribution detection,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.568269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.862265Z digest=sha256:01d966050c59b0a6b60e7bab6a07799a328b3922b3c4d390523f9d60663f971a

Observation 068a5272-0a27-44d6-b1cc-9fe9296073d0 · outbound

This paper cites Extremely simple activation shaping for out-of-distribution detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Extremely simple activation shaping for out-of-distribution detection,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.560489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.864684Z digest=sha256:ef89b66e238bc7ab9018aef407f0c5528bbe87e1aed16e3042107775c67aec4d

Observation 79ba481d-52d4-46c2-99ca-b5ac863c119c · outbound

This paper cites Scaling for training time and post-hoc out-of-distribution detection enhancement,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Scaling for training time and post-hoc out-of-distribution detection enhancement,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.552593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.867260Z digest=sha256:8c3246258bf82c4c54a0d35d8c13cdbbc79dff4300c39c98740e06365df3ac37

Observation 7c3bdd2b-f4f4-4596-b31e-47ff90d3288b · outbound

This paper cites Out-of-distribution detection using neural activation prior,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Out-of-distribution detection using neural activation prior,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.544735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.869711Z digest=sha256:90ffe0b5aec5cb6f0eb90a40144942553a079378cab2fe2c53611f55bfdbd3a5

Observation fb9b4937-a621-4ed2-b5a5-1a212989d6a0 · outbound

This paper cites Energy-based open-world uncertainty modeling for confidence calibration,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Energy-based open-world uncertainty modeling for confidence calibration,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.535627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.875004Z digest=sha256:f4fbe760bbdf3b726450b17b06fde07dd1888c135ee25001493cf1082e17e836

Observation 6d26f47e-c3bf-48b0-aba1-f237459fe3cd · outbound

This paper cites Generalized ODIN: Detecting Out-of-Distribution Image Without Learning from Out-of-Distribution Data,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Generalized ODIN: Detecting Out-of-Distribution Image Without Learning from Out-of-Distribution Data,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.527109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.877448Z digest=sha256:6201022828ad6277fa63ea5faa2138f3f93d9d169563b9f507a39991803b84b3

Observation 00ae1702-b12c-4924-92f5-022f8dc30e55 · outbound

This paper cites Mitigating Neural Network Overconfidence with Logit Normalization,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Mitigating Neural Network Overconfidence with Logit Normalization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.519229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.879950Z digest=sha256:467db361a618636a6e28c0f5eebbb4487137ffd292460b65888a802b4eb36c07

Observation c24d36a5-7423-4d13-b595-285df2af5097 · outbound

This paper cites Certifiably adversarially robust detection of out-of-distribution data,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Certifiably adversarially robust detection of out-of-distribution data,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.511532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.882356Z digest=sha256:126f06ea6d1626a4a1aa5774744e7cdda1b9653d292f102234ed3454e1fec391

Observation 8f43bc54-ab27-4ca1-8c74-ac27adf1ddcd · outbound

This paper cites Robust Out-of-distribution Detection for Neural Networks.

Revisiting Energy-Based Model for Out-of-Distribution Detection Robust Out-of-distribution Detection for Neural Networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.885121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.885121Z digest=sha256:11ac92de809f3bb30da762ef1cb7c32e52d7a01b65f9d24af1c9a47f70d4f54e

Observation 3a710961-b019-48ef-92fd-fee25274b69f · outbound

This paper cites Novelty detection via blurring,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Novelty detection via blurring,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.503744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.888243Z digest=sha256:682245ca97d67021b567c7040002bc3c05487b2cddc7c2f3868596cced69f0e6

Observation 8a775f5b-c8c9-4ed9-8092-1036db33a5c5 · outbound

This paper cites On mixup training: Improved calibration and predictive uncertainty for deep neural networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection On mixup training: Improved calibration and predictive uncertainty for deep neural networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.496288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.890900Z digest=sha256:6eac144b1c09000f755f6d3613aa04279e307aebf1150bd0b094c5e210e0faaa

Observation 7faf28b2-88be-4a78-b779-1dc0e568eb2f · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.488230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.893162Z digest=sha256:9b84d49c9c12d6b543cf57e8767ff4440b89ab10b629152a947aa93368ec0341

Observation 794acf0f-1e70-4eb7-9ea2-0a0836ed3583 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Revisiting Energy-Based Model for Out-of-Distribution Detection Improved Regularization of Convolutional Neural Networks with Cutout

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.895735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.895735Z digest=sha256:1b9c1f72bb1469264f26d25b812ea374b973a359ea6f0bbcc4ba2adf207494d5

Observation 82f3d42f-0718-4d81-8ab8-6b1bff1cc76c · outbound

This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Revisiting Energy-Based Model for Out-of-Distribution Detection AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.898917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.898917Z digest=sha256:cfc992badacb3a9e1c2dca394c395d07be29fec8632eb73267f20459ec65d98d

Observation 4da3e2d8-d7b5-47c1-8ad0-8e90a2734f43 · outbound

This paper cites PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures,.

Revisiting Energy-Based Model for Out-of-Distribution Detection PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.480283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.902164Z digest=sha256:f773add5caff73b9519d71e9257facc263adde91aa41025b5f262150bd9e125e

Observation 8d491aa1-89df-4645-ad4b-7d29e9ed193a · outbound

This paper cites Deep anomaly detection using geometric transformations,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Deep anomaly detection using geometric transformations,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.472505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.904636Z digest=sha256:fff6356e4f506d5ea4f43239158dae83fecf3d1770397d4da1659f705084bf36

Observation a8447d13-3c2f-4783-b7e7-3cb9b45e4b6f · outbound

This paper cites Using Self- Supervised Learning Can Improve Model Robustness and Uncertainty,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Using Self- Supervised Learning Can Improve Model Robustness and Uncertainty,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.464057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.907231Z digest=sha256:98f2e4f02cfba6a5b2041218db2501c0ffe9b7fa96aebf6f8c4cd844322a796a

Observation 82aadfe1-ffde-49c9-a959-5cc16bf2ae2d · outbound

This paper cites A Simple Frame- work for Contrastive Learning of Visual Representations,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A Simple Frame- work for Contrastive Learning of Visual Representations,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.455995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.909854Z digest=sha256:3e5bf4f17e53a698679b02dd4dcaf60c83c9be82f3a1030fb480b53ac717a469

Observation 548e09f9-9502-4ddc-875c-5518694119ba · outbound

This paper cites Training confidence-calibrated classifiers for detecting out-of-distribution samples,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Training confidence-calibrated classifiers for detecting out-of-distribution samples,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.447278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.912333Z digest=sha256:2a7368d50a90ab28b5efd7d206bde2040e380ba983d504f02c6d99c88b2ae9c5

Observation 7f1393ba-c1a6-4b0d-9903-02d0d31c5b83 · outbound

This paper cites Out-of-distribution detection in classifiers via gener- ation,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Out-of-distribution detection in classifiers via gener- ation,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.439086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.914887Z digest=sha256:78891e89ae99b7308b1f70d207509d9b8bb5391dfdfa641d1d3732730a8cff6f

Observation c16daf78-400a-4397-a365-6ecd1563973f · outbound

This paper cites Building robust classifiers through generation of confident out of distribution examples,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Building robust classifiers through generation of confident out of distribution examples,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.431372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.917803Z digest=sha256:07c0d1b194aa9eee36f54cb259a6b9b914afa5c52a960946293d76678b45d0ba

Observation a95f7d75-6471-413b-ae17-09e184f1b4e3 · outbound

This paper cites Ood-maml: Meta-learning for few-shot out- of-distribution detection and classification,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Ood-maml: Meta-learning for few-shot out- of-distribution detection and classification,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.423721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.920290Z digest=sha256:3d12bb7ec2c431ca0a2f6859de6cf2a9de3d35197ff6b6a2b547097605193b98

Observation 69d4a07e-106e-4b43-ad35-f0f718d595b7 · outbound

This paper cites Unsupervised Learning of Multi-level Structures for Anomaly Detection.

Revisiting Energy-Based Model for Out-of-Distribution Detection Unsupervised Learning of Multi-level Structures for Anomaly Detection

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:55:23.087271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.922793Z digest=sha256:fb093ba0de4e06d434e3863b2e0e41286e168841f108b6e855841f7d12a1495e

Observation 9cb1a339-b48a-46d8-a856-ecabb7277759 · outbound

This paper cites Generating and reweighting dense contrastive patterns for unsupervised anomaly detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Generating and reweighting dense contrastive patterns for unsupervised anomaly detection,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.415864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.925504Z digest=sha256:e5c34226bc8099b96fd9a934e95eca2938f934221e10a4c83fd95e3e0af86f38

Observation d0e4b954-2f0f-4d4c-a521-48f6f66c5a58 · outbound

This paper cites VOS: Learning What You Don’t Know by Virtual Outlier Synthesis,.

Revisiting Energy-Based Model for Out-of-Distribution Detection VOS: Learning What You Don’t Know by Virtual Outlier Synthesis,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.408127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.927963Z digest=sha256:7f1aee61d78cd672afd19470e380252606f30a4744ee590453bdab6d0962beb6

Observation d8b163d0-0b51-4826-b595-394c5bb3b2f7 · outbound

This paper cites Non-Parametric Outlier Synthesis,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Non-Parametric Outlier Synthesis,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.400295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.930596Z digest=sha256:ed573dfff96ac4204da95dbd526c2eec7fe775aa2c912c45bdfaa1be3a7eb38f

Observation 02cb077f-d93a-4f5a-84cf-8aad74b6495e · outbound

This paper cites A less biased evaluation of out-of-distribution sample detectors,.

Revisiting Energy-Based Model for Out-of-Distribution Detection A less biased evaluation of out-of-distribution sample detectors,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.392572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.933079Z digest=sha256:71aa6d7ebac78ba1c049d2ba456ae7a20742c64f0f21a2fa6211e23ff3958ee2

Observation 83e9c753-ec48-4d88-aedc-19ddfaa562d6 · outbound

This paper cites Do deep generative models know what they don’t know?.

Revisiting Energy-Based Model for Out-of-Distribution Detection Do deep generative models know what they don’t know?

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.384103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.935506Z digest=sha256:b55a27049f1f37e6a4bd0b45835676776c0263833ddfa47a52d84262d944bb36

Observation a6d5b47b-3adf-48e5-a716-cd3f29b761c4 · outbound

This paper cites Log-concave sampling,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Log-concave sampling,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.376025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.938124Z digest=sha256:c5c783ce2e6b6393078c644e3a1a837f058e465549b4404a26d7bc88e96cf432

Observation 16191dbb-18ec-4023-90db-b2165014cb2e · outbound

This paper cites Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.368354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.940596Z digest=sha256:cd337608eed1747161ab35ffb456ea5a28c5f17dc8da51c0d64420429e45d91a

Observation f23e8ba1-0aa5-4928-bb1b-d967f93d8740 · outbound

This paper cites Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.360300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.942828Z digest=sha256:75f3df5dbb735f41061a2e26796e43053f741f34361f4af511e9b7e999728db9

Observation 0b048d38-87eb-4820-8026-a23b119d4819 · outbound

This paper cites On Calibration of Modern Neural Networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection On Calibration of Modern Neural Networks,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.352665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.945369Z digest=sha256:2e97fcf819004c6dd62420254675f8ec3da11187e477114eadf6ff045903690e

Observation 8fecf4e5-2f29-4c29-8208-508c091b25f6 · outbound

This paper cites GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection,.

Revisiting Energy-Based Model for Out-of-Distribution Detection GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.345401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.947845Z digest=sha256:4f737b78d568acf7056ec3d8a6bffd83750f06b9660edb0ccf80e8509f55b534

Observation ed8aa3fc-1937-4706-8562-118f01923ca8 · outbound

This paper cites MOS: Towards Scaling Out-of-Distribution De- tection for Large Semantic Space,.

Revisiting Energy-Based Model for Out-of-Distribution Detection MOS: Towards Scaling Out-of-Distribution De- tection for Large Semantic Space,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.337810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.950246Z digest=sha256:c8cc3560bd7d779dfd4b06e0a69927b4c4e40e99c138a89f869c740c193756ce

Observation 31192afa-c951-4969-b256-25fc715c1c86 · outbound

This paper cites Adversarial Reciprocal Points Learning for Open Set Recognition,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Adversarial Reciprocal Points Learning for Open Set Recognition,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.329955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.952909Z digest=sha256:370509d837f41e496b6804a8ce997eb6882e3cabc6be38547521bfac244bcb38

Observation 74cbba86-c4b6-4b86-ab54-971b035a0a93 · outbound

This paper cites Learning Confidence for Out-of-Distribution Detection in Neural Networks.

Revisiting Energy-Based Model for Out-of-Distribution Detection Learning Confidence for Out-of-Distribution Detection in Neural Networks

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.955446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.955446Z digest=sha256:401393b227310a6b548a303b96303051b6c22ea7fd2b37b50b219c708df69afc

Observation d59af87c-6dbf-493c-b2f9-b4460cab7716 · outbound

This paper cites How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?.

Revisiting Energy-Based Model for Out-of-Distribution Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.322583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.957949Z digest=sha256:19eda3ce43b2dd03f3ef54bebfb946e97955d76605a721d9f3b7740f02c4beb7

Observation 7e36bc0b-dc55-4a31-a28c-958f13b96504 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Learning Multiple Layers of Features from Tiny Images,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.315473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.960489Z digest=sha256:f539d663ff24d3b3871338a8fc0d49fd5c7462235c1cc52472a256aa3b659090

Observation 12a0a20c-c44d-4617-aeae-37e9e8091768 · outbound

This paper cites Tiny ImageNet Visual Recognition Challenge,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Tiny ImageNet Visual Recognition Challenge,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.307035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.962982Z digest=sha256:1ebba00f4465bec60b1903fede2cfaf6f27ae3baad4724733a8ba518d6c0c426

Observation 709ed740-d085-4f7f-885b-cdb99572e2e3 · outbound

This paper cites Gradient-Based Learning Applied to Document Recognition,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Gradient-Based Learning Applied to Document Recognition,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.298912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.965660Z digest=sha256:108c12093fc0b634445ae7e885f3aa42f52ad0be7229bed44d63ba59f03d1f57

Observation 17f15edf-bd03-47cb-8b3e-9be47709661c · outbound

This paper cites Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks.

Revisiting Energy-Based Model for Out-of-Distribution Detection Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.968462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.968462Z digest=sha256:4c8a493321b47f3e6ce2e1cd21deb4411771c2af8e57f995e6d5e2759b33d82e

Observation 952d0441-eef3-4344-955f-c1c51c5acd0d · outbound

This paper cites Describing Textures in the Wild,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Describing Textures in the Wild,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.291141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.971725Z digest=sha256:551ecd73cdbfd633ee3e2b54d7ccc0b963f0fd3dc30fd39fea03f145cb6ee693

Observation c45394f5-2ffb-44f6-a973-dc4ac17cf1a5 · outbound

This paper cites Places: A 10 million Image Database for Scene Recognition,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Places: A 10 million Image Database for Scene Recognition,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.283547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.974265Z digest=sha256:7fe9161fa93267de1b427d106dd6c6fb5bced483face86adc19b468bfa503380

Observation 00090f82-3a21-4a45-bde2-6b823854af3e · outbound

This paper cites Deep Learning for Classical Japanese Literature.

Revisiting Energy-Based Model for Out-of-Distribution Detection Deep Learning for Classical Japanese Literature

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.977024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.977024Z digest=sha256:3cbe3b755788cc6d96c54c56b35693eee5535365f3e332e579e9f11438abc7d8

Observation e1650557-254e-4d51-876b-18c904c96130 · outbound

This paper cites EMNIST: Extending MNIST to Handwritten Letters,.

Revisiting Energy-Based Model for Out-of-Distribution Detection EMNIST: Extending MNIST to Handwritten Letters,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.274282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.980044Z digest=sha256:6925da32d695b8f01e05032ebb5cffc23cc56eba592edb41f75c7b986fcc3de0

Observation e554828d-774b-4209-9056-48e5972f01c1 · outbound

This paper cites The Relationship Between Precision-Recall and ROC Curves,.

Revisiting Energy-Based Model for Out-of-Distribution Detection The Relationship Between Precision-Recall and ROC Curves,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.266917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.982524Z digest=sha256:ef2765beee5bac0b6a3ebe791490191abfdfa659d40ff886a50c16db90ee9872

Observation ab6f1a2a-42f6-4064-8131-fa39ae830ae4 · outbound

This paper cites An Introduction to ROC Analysis,.

Revisiting Energy-Based Model for Out-of-Distribution Detection An Introduction to ROC Analysis,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.259620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.985159Z digest=sha256:052d2d07622a5255751b7ac34cd66fd94db3536d8d9f63bb830c8f6ae3e1473a

Observation 0603ac9e-efd7-4dd0-a982-420a81d0ca43 · outbound

This paper cites Towards Open Set Deep Networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Towards Open Set Deep Networks,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.251836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.987574Z digest=sha256:675013a3e62952590a7c5c7c086a10a0522e80f37f37d3080d2a4041e4c67272

Observation 76ac9f1f-53eb-4bfb-8caf-806ca2a27e59 · outbound

This paper cites A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection.

Revisiting Energy-Based Model for Out-of-Distribution Detection A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.990484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.990484Z digest=sha256:3ce4db2b55b03d397d0d9bc5d9e6b7233f1c41230d1eae0135ee082d528f9ce5

Observation 1dc31d5b-d671-4dad-8dc1-a827c2435856 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Deep Residual Learning for Image Recognition,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.244058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.993339Z digest=sha256:e53ddb927b5a183877e41408b3f42fd3322d096235947987f0961c17fcd80548

Observation 2927b6b8-e90a-487e-91fe-4f1042d3f896 · outbound

This paper cites Wide Residual Networks,.

Revisiting Energy-Based Model for Out-of-Distribution Detection Wide Residual Networks,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:55:23.236323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T22:55:22.995789Z digest=sha256:6b0fd71a6f2f24e96563a70861298fe3216de006aef0ef4ab9bafc5a34cfb2f2

Observation 2dcc3a9c-0142-4803-bad0-5d1dcd702d86 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Revisiting Energy-Based Model for Out-of-Distribution Detection Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-11T22:55:22.998247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:55:22.998247Z digest=sha256:2bff462787d2805b5ba8059e55c20a7b26dd93408056ded9903f897603f827f1

Pith citing papers

No inbound Pith citation observations are available.