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Paper Citation Record · LEDGER

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.05681.

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

pith.paper-citation-record.v1
2412.05681 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:31:30.323692Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd456e1b-c249-48f7-bbd3-decc5430d598 · outbound

This paper cites Well log data generation and imputation using sequence-based generative adversarial networks.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Well log data generation and imputation using sequence-based generative adversarial networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:31:30.633935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

This paper cites Enhanced anomaly detection in well log data through the application of ensemble GANs.

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

Reference 2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1c194c8d-15d9-4ff7-a4a9-53c74001589c · outbound

This paper cites Al-Fakih and A.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Al-Fakih and A

Reference 3

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no resolver link, observed 2026-08-11T20:31:30.174496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:30.174496Z digest=sha256:9835a7bd8cf7bd02f508465d68ea78854fa2a3d8d89b8914c52422854295a49e

Observation 1f772fb9-e27e-4038-8c23-5026e0f9c445 · outbound

This paper cites Al-Fakih and S.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Al-Fakih and S

Reference 4

Resolution
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raw_fallback, observed 2026-08-11T20:31:31.039087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.179227Z digest=sha256:c08759e6b9b7afe9e1260a7fef8b4735b67226ad7e4597a6cafd933509aeb1a6

Observation 5eef2519-8756-43cb-8594-dafea357b882 · outbound

This paper cites Al-Fakih, A.F.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Al-Fakih, A.F

Reference 5

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raw_fallback, observed 2026-08-11T20:31:31.024864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 35f5bdd9-8db0-4ec4-9a40-aefd8a5041a5 · outbound

This paper cites Altindal, P.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Altindal, P

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f742a955-5671-4898-a6bf-34c80affb5b1 · outbound

This paper cites Antariksa, R.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Antariksa, R

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f7a9bbf-b513-4b72-9b44-755622c52681 · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-11T20:31:30.980559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 38920387-b8ba-4708-bfdf-ecd1ed22cec8 · outbound

This paper cites Ferreira, L.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Ferreira, L

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9ad170c2-1ff8-49e8-ad6b-cd94e9e7ed77 · outbound

This paper cites TimeGPT-1.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection TimeGPT-1

Reference 10

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no resolver link, observed 2026-08-11T20:31:30.208718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:30.208718Z digest=sha256:5a14019b69be9d2a1b6eb3173b2bba3193f8bc05dd1d562a850ed0060c919906

Observation 16ee2d60-571f-4dbf-9d68-4a40cc685837 · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-11T20:31:30.952279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5e345206-c225-4743-a7d5-abdf4ed8b0b9 · outbound

This paper cites Hewamalage, K.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Hewamalage, K

Reference 12

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 17484668-70ae-4600-a3dd-24a265aed601 · outbound

This paper cites Koeshidayatullah, I.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Koeshidayatullah, I

Reference 13

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raw_fallback, observed 2026-08-11T20:31:30.923890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.223221Z digest=sha256:5b24aad65dc03e29de2adc8d1b3aec7f25409495380ea7c90a81d68511985313

Observation 9e155161-2c3d-4609-a86a-60e225eb4faa · outbound

This paper cites Jeong, E.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Jeong, E

Reference 14

Resolution
metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.227724Z digest=sha256:d592c35d3e5ae3199f92613acd4a6a256b6605e09ff5cb16846f8d8bfb236de9

Observation d29d3e25-eb6d-4e29-9c79-59dcf273848e · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-11T20:31:30.909917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.232395Z digest=sha256:19c8a079abf23d579fb107f069ac7a03408880562a9118a6c77f22dbf2dc8bd7

Observation 80213bc8-f3b8-4aa2-b1e2-bdd26a16b35a · outbound

This paper cites Liang, H.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Liang, H

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dff6cc5a-488a-48cd-b754-458f2e34739a · outbound

This paper cites TimeGPT in Load Forecasting: A Large Time Series Model Perspective.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection TimeGPT in Load Forecasting: A Large Time Series Model Perspective

Reference 17

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no resolver link, observed 2026-08-11T20:31:30.241724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:30.241724Z digest=sha256:d0fbe13f0e146750b6be249a70a751372a5560ab8ae2544604930f7d8c02ff2e

Observation f13aa933-63d0-42cb-9289-ff767e9c6618 · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-11T20:31:30.880681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 950396a2-73a3-4987-ac19-1605979ef4d3 · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-11T20:31:30.866140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 17deef69-4efc-4cce-9e18-90c04c56a853 · outbound

This paper cites Masini, M.C.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Masini, M.C

Reference 20

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raw_fallback, observed 2026-08-11T20:31:30.852089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.255586Z digest=sha256:3deba82dfd9b9bf40e2e884dd7799cf31ea5c9a7876b914e94f8efc17e22c611

Observation 0ef653ed-9b2f-4d3b-99e4-4193d6a7fc05 · outbound

This paper cites Mohammed, N.P.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Mohammed, N.P

Reference 21

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raw_fallback, observed 2026-08-11T20:31:30.838208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.260200Z digest=sha256:257db99e9fe4e4a559a5b7f4c2cca61f0a7ce3dade53776084e0405d59e82c7b

Observation 0cd1bde6-6244-4e57-aaa0-b33bd3a76cca · outbound

This paper cites Mohamed, S.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Mohamed, S

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 43e36a4c-be8d-433d-9448-d2303113d77d · outbound

This paper cites Mukherjee, K.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Mukherjee, K

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 09ca9847-ca68-40c7-9025-9f64b94fc56c · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-11T20:31:30.796070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d0b3509-7053-4c7c-adb6-8019c413b19e · outbound

This paper cites Paroha and A.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Paroha and A

Reference 25

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raw_fallback, observed 2026-08-11T20:31:30.781075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ab8f4f38-a76e-47b6-9f95-52ebbfad80f7 · outbound

This paper cites Pham and E.Z.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Pham and E.Z

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e5fad8f3-802c-4354-b2ff-e38f94acbd3f · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-11T20:31:30.751788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fdc56e64-4602-45c7-9372-25455da7d94d · outbound

This paper cites Radford, J.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Radford, J

Reference 28

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raw_fallback, observed 2026-08-11T20:31:30.737101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation de6321e2-4563-4e9a-af9e-6b3d8505abda · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:31:30.723041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.296008Z digest=sha256:a62722a3ae4dd6b338e7938aee143cddb4d0e15acd3e2f62f4f8e9e3b25c3571

Observation aef121ee-914c-45aa-9dbc-dfffd87ecf61 · outbound

This paper cites Struminskiy, A.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Struminskiy, A

Reference 30

Resolution
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raw_fallback, observed 2026-08-11T20:31:30.708325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.300562Z digest=sha256:1f5301550ac9bfc65230502553a721a2c89fe20a0a77cfa30730a184c7f450d4

Observation 53651707-7e51-4402-b441-12941a00fe28 · outbound

This paper cites Attention Is All You Need.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Attention Is All You Need

Reference 31

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no resolver link, observed 2026-08-11T20:31:30.305403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:31:30.305403Z digest=sha256:6123d18ae777d7f83c011945c7604c8a4cb3fd52c91015d045e71df77e1cd3a0

Observation d4a9f9fc-bc6c-423c-a56d-36b8197e0adb · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:31:30.693283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.310325Z digest=sha256:2a1e68f041f6d0eb3f6c6eadc93647d55dba7880bde6bf573e700c62575162ae

Observation 876084ad-c2c8-4f93-a5eb-e463ba10d02b · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:31:30.678400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.314829Z digest=sha256:cc0dd31c12d1004ac4ea9bc5fed70e2ebc76564089eb98883a67236e6e8cdc51

Observation e7aca0c4-ea94-461e-81e9-4f9511887be7 · outbound

This paper cites an unresolved cited work.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:31:30.663618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.319170Z digest=sha256:9d8df6b341af053cc592e581171f4f0b0de2303e7b332b09bc677aab984dbf40

Observation 70bb8494-9149-4169-aa2c-06c21f782374 · outbound

This paper cites Zhang, Y.

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection Zhang, Y

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:31:30.648880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T20:31:30.323692Z digest=sha256:14c795d2481352d36d97be67c0b1ec6a6fd30b35d53e8c0ea173ed7f4b8516e5

Pith citing papers

No inbound Pith citation observations are available.