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Paper Citation Record · LEDGER

Enhanced anomaly detection in well log data through the application of ensemble GANs

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2411.19875.

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

pith.paper-citation-record.v1
2411.19875 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:46:17.064866Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:31:30.169258Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T20:31:30.606333Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact13
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73b272f5-599c-4099-b97a-41921046ff81 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-12T05:46:17.379302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0f65b56a-1d27-4dd6-875e-143d6ec98272 · outbound

This paper cites Al-Fakih, S.

Enhanced anomaly detection in well log data through the application of ensemble GANs Al-Fakih, S

Reference 2

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unresolved
no resolver link, observed 2026-08-12T05:46:16.886550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.886550Z digest=sha256:797604fcfb9fd2a41bdadc42e389fe7aa79a58a1f1e43e6356c355cf077b5ec3

Observation b5b9681a-6d30-4273-a100-c2851cddd06f · outbound

This paper cites Al-Fakih, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Al-Fakih, A

Reference 3

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.892374Z digest=sha256:f5f2901443608f6735113e4f269e515819ff5aabb90b9e76d42c65f5f12f531f

Observation 9849f394-e41c-4734-8649-b4551a49418f · outbound

This paper cites Al-Fakih, S.

Enhanced anomaly detection in well log data through the application of ensemble GANs Al-Fakih, S

Reference 4

Resolution
metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c705caab-5ee5-4a64-95ea-0d8c1b6c4670 · outbound

This paper cites Al-Fakih, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Al-Fakih, A

Reference 5

Resolution
verified exact
doi, observed 2026-08-12T05:46:17.363054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6793bc51-b068-4b82-910b-5e0942f7571e · outbound

This paper cites Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation.

Enhanced anomaly detection in well log data through the application of ensemble GANs Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:46:17.346481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6bbb4f27-32a8-439e-a971-7bd85a9dafe1 · outbound

This paper cites Kushwaha and G.

Enhanced anomaly detection in well log data through the application of ensemble GANs Kushwaha and G

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T05:46:16.914004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.914004Z digest=sha256:df009d8459a73254980a0153bac42864cbce2dc38dd811db7f0342943282f0ea

Observation 34e57a75-2701-430d-b022-5001f55af307 · outbound

This paper cites Bourou, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Bourou, A

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.918964Z digest=sha256:f16a4f7ea9e991abef8c37786824cad39fb040ff933febb25a2bc496da48d186

Observation d3be908e-ab03-4319-9c6a-967c8466e8df · outbound

This paper cites Stauffer and W.

Enhanced anomaly detection in well log data through the application of ensemble GANs Stauffer and W

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:46:16.924240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.924240Z digest=sha256:40e1461fa1be03a853cc2ddc202406dc3d06ad19bfac1a27c01687e76c455d6b

Observation 10e6f403-e477-4721-836a-ba8440911814 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 10

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2385f9c9-5818-4af2-b1ff-1f5cb6c42f2f · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T05:46:16.934935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:16.934935Z digest=sha256:7cc799a10ce06058d9aea87f68935c22e71a9c98d4e7d7d544d751110cc0faa7

Observation f30c6ae5-4516-42d4-ba39-ec52d0286bdb · outbound

This paper cites Fernandes, K.

Enhanced anomaly detection in well log data through the application of ensemble GANs Fernandes, K

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 74f6af5b-8029-40e4-9d85-cee7215fa8fd · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4f49274d-1029-4668-988a-32cd6feef2a6 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T05:46:16.949408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a3f53b1-073e-49f9-be88-d45ecac82f0a · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 15

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6d5df4d1-a56e-4e9c-a819-7ba1559cbd77 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T05:46:16.959077Z digest=sha256:42a88ad00c7678fbd745fba7c288422f69aea0e8a10f62c1b5d183e8836d342e

Observation 6f9204f4-9d62-4683-ba85-9a38b4481108 · outbound

This paper cites Gokcesu, M.

Enhanced anomaly detection in well log data through the application of ensemble GANs Gokcesu, M

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ca1bbe6f-b704-4531-86c7-b85ecc58b94b · outbound

This paper cites Kazemi and H.

Enhanced anomaly detection in well log data through the application of ensemble GANs Kazemi and H

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 730ef25e-ccfc-4937-bbac-5e426b4e260e · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34143883-a469-428f-934e-25b54d552c8d · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0c871527-f86a-45ec-8c6b-98c0495e6c0a · outbound

This paper cites Landauer, S.

Enhanced anomaly detection in well log data through the application of ensemble GANs Landauer, S

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5bc6a7c4-35cb-4937-a032-63b72dcffea4 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 124f231f-5d72-475b-80b7-f5c2eb11cef6 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2fac1372-0a82-4627-a02b-90b2425a2bba · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 24

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f1fc5882-b7b1-4ea7-8d01-18f103484398 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 979040f8-fc1d-4fdf-8f37-2d157aa835fc · outbound

This paper cites Martí, N.

Enhanced anomaly detection in well log data through the application of ensemble GANs Martí, N

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T05:46:17.006905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cab9f653-e8d9-480e-902c-fa99340b835e · outbound

This paper cites Mishra, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Mishra, A

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1a054c13-be23-42c7-860a-d7084942a36d · outbound

This paper cites Peer and J.

Enhanced anomaly detection in well log data through the application of ensemble GANs Peer and J

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3c8a28e8-ac4e-4e5f-b21a-8aed52b60cfb · outbound

This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

Enhanced anomaly detection in well log data through the application of ensemble GANs Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e3a615e-3bcd-43b1-b0ad-d11ad1bc6d53 · outbound

This paper cites Rebala, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Rebala, A

Reference 30

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eadaaf3e-a1be-4101-a0c5-9a78e6bf3710 · outbound

This paper cites Reynolds.

Enhanced anomaly detection in well log data through the application of ensemble GANs Reynolds

Reference 31

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f189304-517c-43ce-ba00-c8480517f62b · outbound

This paper cites Improving Upon Precision, Recall, and F1 with Gain Metrics.

Enhanced anomaly detection in well log data through the application of ensemble GANs Improving Upon Precision, Recall, and F1 with Gain Metrics

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e7a9cfc-25f5-4d6a-b439-18db0188e39a · outbound

This paper cites Struminskiy, A.

Enhanced anomaly detection in well log data through the application of ensemble GANs Struminskiy, A

Reference 33

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a02f7b4-d736-49f1-a81d-98eeb98a50d2 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b0f7fbc6-8ef1-40ff-9915-cf92ccba736d · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:46:17.055507Z digest=sha256:fddd7d572c7429654715ffe75e637531a5ffc215ef870a2f45a3d0b1e69e721e

Observation 12d6cd12-2400-474a-acbc-a76c7e4507e6 · outbound

This paper cites Zhang, R.

Enhanced anomaly detection in well log data through the application of ensemble GANs Zhang, R

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c8d8b203-5b23-4650-bf75-c2efb03ee812 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:46:18.461046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 667fd1ad-314f-4a69-bb4e-570eb50071f9 · outbound

This paper cites an unresolved cited work.

Enhanced anomaly detection in well log data through the application of ensemble GANs Unresolved cited work

Reference 2018

Resolution
verified exact
doi, observed 2026-08-12T05:46:17.120260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T05:46:17.050780Z digest=sha256:e1849aeedff9b0de6e421349a4d6071f6370f381459d87074dd23c9e6ef5feee

Pith citing papers

Observation 3c7a3b6d-3693-4855-8f4d-5e5faaaff0b0 · inbound

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection cites this paper.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Enhanced anomaly detection in well log data through the application of ensemble GANs

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local_arxiv, observed 2026-08-11T20:31:30.612286Z

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source=pdf_text observed=2026-08-11T20:31:30.169258Z digest=sha256:888e7de82bc64305c481cd897b0c55703b6f97ffbe9863cf7a11038ff671f82f