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Paper Citation Record · LEDGER

Detecting semantic anomalies

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.04388.

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

pith.paper-citation-record.v1
1908.04388 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:39:11.338949Z

measured 45 of 45 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6adf940-adde-4b8b-93b5-7cb21de0c54f · outbound

This paper cites Weinberger.

Detecting semantic anomalies Weinberger

Reference 1

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verified fuzzy
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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.

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Observation 7375f447-669a-4f07-a09a-14e56f1a6556 · outbound

This paper cites Wichmann, and Wieland Brendel.

Detecting semantic anomalies Wichmann, and Wieland Brendel

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 4d68ffe7-0c9a-4e9d-9ab1-85654ec1cd05 · outbound

This paper cites Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects.

Detecting semantic anomalies Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects

Reference 3

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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.

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Observation a8043527-51cb-40f4-b60f-c0f4a8a3144c · outbound

This paper cites Recognition in terra incognita.

Detecting semantic anomalies Recognition in terra incognita

Reference 4

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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.

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Observation f8711d75-8557-4a5d-bb8b-3b4a49397420 · outbound

This paper cites Concrete Problems in AI Safety.

Detecting semantic anomalies Concrete Problems in AI Safety

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94ab2945-51a8-4bd6-b44a-3122fa47d46c · outbound

This paper cites A baseline for detecting misclassified and out-of- distribution examples in neural networks.

Detecting semantic anomalies A baseline for detecting misclassified and out-of- distribution examples in neural networks

Reference 6

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raw_fallback, observed 2026-08-14T13:39:12.407859Z

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.

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Observation 4f9200cf-1436-4bdd-8ebc-c22fabea0dbb · outbound

This paper cites an unresolved cited work.

Detecting semantic anomalies Unresolved cited work

Reference 7

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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.

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Observation 20e6dcdc-a983-43e6-8543-ddd166ea2c7d · outbound

This paper cites Torralba and A.

Detecting semantic anomalies Torralba and A

Reference 8

Resolution
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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.

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Observation d0987bc2-4af7-4345-b2d1-0e02bd6925e7 · outbound

This paper cites A Deeper Look at Dataset Bias, pages 37–55.

Detecting semantic anomalies A Deeper Look at Dataset Bias, pages 37–55

Reference 9

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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.

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Observation 2178d199-3879-48be-be1e-d266710f5d70 · outbound

This paper cites Do deep generative models know what they don’t know? ICLR, 2019.

Detecting semantic anomalies Do deep generative models know what they don’t know? ICLR, 2019

Reference 10

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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.

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Observation 12d94e97-61c1-450d-bc18-91d7f50a5b1d · outbound

This paper cites Fodor and Zenon W.

Detecting semantic anomalies Fodor and Zenon W

Reference 11

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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.

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Observation 08321d43-5bc1-4cc7-b7b2-2a797348e6f7 · outbound

This paper cites https : / / news.

Detecting semantic anomalies https : / / news

Reference 12

Resolution
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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.

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Observation 678a8d8e-282e-430f-b856-663a23f1e7dc · outbound

This paper cites Artificial intelligence in pest insect monitoring.

Detecting semantic anomalies Artificial intelligence in pest insect monitoring

Reference 13

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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.

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Observation 46683ef4-0028-4d7b-8b2d-d739bf9c09e6 · outbound

This paper cites Pitman, Anabelle W.

Detecting semantic anomalies Pitman, Anabelle W

Reference 14

Resolution
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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.

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Observation 62b2835d-180f-4c5b-a9db-b800dfef5b4f · outbound

This paper cites Going deeper in the automated identification of herbarium specimens.

Detecting semantic anomalies Going deeper in the automated identification of herbarium specimens

Reference 15

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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.

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Observation a2a5fa7c-ac89-4f52-a79c-558c88ebc5e5 · outbound

This paper cites Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System.

Detecting semantic anomalies Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

Reference 16

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no resolver link, observed 2026-08-14T13:39:11.153874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation adda4f6b-8e50-4104-b7e4-0943b0fd8767 · outbound

This paper cites Deep learning approach to bacterial colony classification.

Detecting semantic anomalies Deep learning approach to bacterial colony classification

Reference 17

Resolution
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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.

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Observation 88e6c4b6-c3df-41a9-937d-f6ce8088864b · outbound

This paper cites Akcay, A.

Detecting semantic anomalies Akcay, A

Reference 18

Resolution
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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.

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Observation 29b3b63c-6996-4b99-92fb-6b3c2562705b · outbound

This paper cites Efficient GAN-Based Anomaly Detection.

Detecting semantic anomalies Efficient GAN-Based Anomaly Detection

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46ee5c5b-434d-472e-ab80-f1c9cac3031b · outbound

This paper cites Generative probabilistic novelty detection with adversarial autoencoders.

Detecting semantic anomalies Generative probabilistic novelty detection with adversarial autoencoders

Reference 20

Resolution
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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.

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Observation d36b2bf1-69ab-4335-bd31-9da5b27c28a8 · outbound

This paper cites Deep anomaly detection using geometric transformations.

Detecting semantic anomalies Deep anomaly detection using geometric transformations

Reference 21

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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.

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Observation 4333230a-be15-4cbd-bae7-cb6c7ef671c2 · outbound

This paper cites Berg, and Li Fei-Fei.

Detecting semantic anomalies Berg, and Li Fei-Fei

Reference 22

Resolution
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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.

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Observation 716b2828-5b3b-41cf-a430-fa2411b440a5 · outbound

This paper cites An introduction to roc analysis.

Detecting semantic anomalies An introduction to roc analysis

Reference 23

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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.

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Observation 657b2ea8-b99a-438f-bb4b-5762de2b2a2b · outbound

This paper cites The relationship between precision-recall and roc curves.

Detecting semantic anomalies The relationship between precision-recall and roc curves

Reference 24

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

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Observation ad67961f-e8b5-47d8-8b06-d0f46b49b6c5 · outbound

This paper cites an unresolved cited work.

Detecting semantic anomalies Unresolved cited work

Reference 25

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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.

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Observation 75503a37-c6c1-440c-bda6-e31f4f2397e8 · outbound

This paper cites Eng, and C.

Detecting semantic anomalies Eng, and C

Reference 26

Resolution
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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.

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Observation 6795d39c-a10e-4199-b41d-9348e7039d20 · outbound

This paper cites Towards open set deep networks.

Detecting semantic anomalies Towards open set deep networks

Reference 27

Resolution
verified fuzzy
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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.

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Observation 61504902-cbdc-4121-b0db-daabe0227b27 · outbound

This paper cites Reducing network agnostophobia.

Detecting semantic anomalies Reducing network agnostophobia

Reference 28

Resolution
verified fuzzy
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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.

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Observation 96d53b7b-accc-4a8b-9b0f-753875248320 · outbound

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

Detecting semantic anomalies Learning Confidence for Out-of-Distribution Detection in Neural Networks

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5c3ac96-29d7-41d6-923a-2a37352cd265 · outbound

This paper cites Deep anomaly detection with outlier exposure.

Detecting semantic anomalies Deep anomaly detection with outlier exposure

Reference 30

Resolution
verified fuzzy
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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.

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Observation b355ae09-a832-4b42-a0ad-8ff5105238a8 · outbound

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

Detecting semantic anomalies Training confidence-calibrated classifiers for detecting out-of-distribution samples

Reference 31

Resolution
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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.

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Observation 73e567c6-8760-453b-86b0-f7a862273b1c · outbound

This paper cites Out-of-distribution detection using multiple semantic label representations.

Detecting semantic anomalies Out-of-distribution detection using multiple semantic label representations

Reference 32

Resolution
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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.

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Observation 389bf097-4fa7-4f70-bcbe-bdfb3b1464a3 · outbound

This paper cites Learning fair representa- tions.

Detecting semantic anomalies Learning fair representa- tions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.869153Z

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.

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Observation cf3cc4bf-a658-4ef0-94f6-cce66dcdbf35 · outbound

This paper cites Multitask learning: A knowledge-based source of inductive bias.

Detecting semantic anomalies Multitask learning: A knowledge-based source of inductive bias

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.850292Z

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.

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Observation 3c1aaa01-502b-4ae6-ad67-6fedc01eb09a · outbound

This paper cites Unsupervised visual representation learning by context prediction.

Detecting semantic anomalies Unsupervised visual representation learning by context prediction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.828079Z

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=2026-08-14T13:39:11.276189Z digest=sha256:041ee4d9131a72891f094248919c28c401b21e12457b22e7a6eae4edcc9cfa7e

Observation c77547cf-03fd-4658-8251-ac1b551d2ccc · outbound

This paper cites Context encoders: Feature learning by inpainting.

Detecting semantic anomalies Context encoders: Feature learning by inpainting

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.810090Z

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=2026-08-14T13:39:11.282373Z digest=sha256:b2c9b60a7d96359d6edceef99d2279f5e4ded65e9e746cc063a0e32d39991d55

Observation cb1e415e-fa58-4d7a-986a-036c1213264b · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

Detecting semantic anomalies Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 37

Resolution
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no resolver link, observed 2026-08-14T13:39:11.288475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:39:11.288475Z digest=sha256:a0c3601b1003643b78f0f3182fd22ea27d9748ad7ea6f7cfe75135401eb02112

Observation c6ce4513-0ea0-4551-a9e9-d652d5442df5 · outbound

This paper cites Split-brain autoencoders: Unsupervised learning by cross-channel prediction.

Detecting semantic anomalies Split-brain autoencoders: Unsupervised learning by cross-channel prediction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.779643Z

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.

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Observation 06e7221a-1a7f-43ac-9642-f45314f4eb66 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Detecting semantic anomalies Representation Learning with Contrastive Predictive Coding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T13:39:11.300804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:39:11.300804Z digest=sha256:454fe76990f90b2533eaedcb22a6274af1ac4b9d9dce5ddb7a2656fc18e54a2d

Observation 3e48ad87-1719-48a0-9b97-8fbef1c9827c · outbound

This paper cites Unsupervised representation learning by predicting image rotations.

Detecting semantic anomalies Unsupervised representation learning by predicting image rotations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.757384Z

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=2026-08-14T13:39:11.308354Z digest=sha256:8ae60d458c9f322752c739c78f18c2a0ceeedae55944a0d4b0ea5c4e6d29275d

Observation e942c4fb-eeeb-4482-bd0d-136d48ef60ce · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

Detecting semantic anomalies Deep clustering for unsupervised learning of visual features

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T13:39:11.314678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:39:11.314678Z digest=sha256:ca5f5f9e5ad253f22620c79919c1ddd858e8c033b692c5032ba6d784ca2aa4cc

Observation 3e6e2750-66fc-4257-836e-e21adfaee303 · outbound

This paper cites Multi-task self-supervised visual learning.

Detecting semantic anomalies Multi-task self-supervised visual learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.697407Z

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=2026-08-14T13:39:11.320675Z digest=sha256:c070272a10a801bb23fc8cd48ed99167116dfbbcd4d985e83455a9713c3fa909

Observation 0650ac31-e6bf-4f70-9c18-0c05ef84fb7c · outbound

This paper cites Wide residual networks.

Detecting semantic anomalies Wide residual networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T13:39:11.326668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef57696e-387f-4993-96fa-b3254183f473 · outbound

This paper cites Courville.

Detecting semantic anomalies Courville

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:39:11.654326Z

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=2026-08-14T13:39:11.332262Z digest=sha256:8a3d6ccd3282b3bffbe6d6dd03f0d5362dd94c2ad547302d4ace1fe2a5f7f25d

Observation 15bbdc5b-0356-4d8b-a16d-011f21b6e6ac · outbound

This paper cites Data-Efficient Image Recognition with Contrastive Predictive Coding.

Detecting semantic anomalies Data-Efficient Image Recognition with Contrastive Predictive Coding

Reference 45

Resolution
malformed identifier
no resolver link, observed 2026-08-14T13:39:11.338949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:39:11.338949Z digest=sha256:e0e372335e9e16e3dfe293dab4e525f723c1457e99cd631598cb650f1af92853

Pith citing papers

No inbound Pith citation observations are available.