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Paper Citation Record · LEDGER

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2511.03852.

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

pith.paper-citation-record.v1
2511.03852 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:52:32.162326Z

measured 39 of 39 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

39 of 39 outbound references displayed

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  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 3d43ed5c-59cf-4067-ba50-2da9b2e8a471 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 1

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Observation 25874130-b2b4-4129-a9a7-a832e337b054 · outbound

This paper cites Beyreuther, R.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Beyreuther, R

Reference 2

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Observation 90e42e8f-f00b-4d6d-b821-cbaa4f447fb4 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-03T23:52:32.049919Z digest=sha256:dbdc3287c69c2c91c410322d69a8b0d86032bec0a11746d48838178cdc6e1493

Observation 4b690222-ebde-43dc-a512-f7dd86a689e2 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 4

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Observation db4764a9-b415-4c31-aee9-b0b913a14c03 · outbound

This paper cites Fomel, P.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Fomel, P

Reference 5

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source=arxiv_source observed=2026-08-03T23:52:32.056633Z digest=sha256:d15556ee225b6e100d04828285a1fabac3b4e258e963777189420b0d1cd7e964

Observation 24f87e0f-39d8-4931-9975-bd994d879f2b · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-03T23:52:32.060208Z digest=sha256:518ae75be7322851bef3d3cdf45e0d3ac7bf4def558dddf76b03add82d91f7f2

Observation d097aff4-660e-418c-8237-983a97c6fe8b · outbound

This paper cites Gensheng, S.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Gensheng, S

Reference 7

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source=arxiv_source observed=2026-08-03T23:52:32.063758Z digest=sha256:27da604e78cd1b59e0a7652608ce8bad1adaea1f18e99de55539e203b5e0839a

Observation 81f77713-f903-40bc-bf14-bbf9753b93af · outbound

This paper cites jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

Reference 8

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Observation 0bac5e40-ce97-4a93-acdc-10c4f5bc791d · outbound

This paper cites Guti \'e rrez-Oribio, A.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Guti \'e rrez-Oribio, A

Reference 9

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Observation c4448828-f093-49ab-86db-d79450b39bd9 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 10

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Observation 7512a7ed-f896-481e-80e1-8a435fcb02bc · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 11

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Observation 2cb8cbda-0906-4073-97f1-fdf4b0400968 · outbound

This paper cites Huang, F.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Huang, F

Reference 12

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Observation 8c657912-53e5-4ed9-a528-5e2f7051858f · outbound

This paper cites Deep Research Agents: A Systematic Examination And Roadmap.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Deep Research Agents: A Systematic Examination And Roadmap

Reference 13

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source=arxiv_source observed=2026-08-03T23:52:32.083539Z digest=sha256:e2fdb7361987d026601f34011ea5380e0ddb396b120ccfddc9709770f752a218

Observation 28720cdf-eb20-4ab3-87ca-2738e754dc94 · outbound

This paper cites Huang, T.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Huang, T

Reference 14

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Observation 255eda62-d387-431c-96cb-db4f8b68a574 · outbound

This paper cites Kanfar, A.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Kanfar, A

Reference 15

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Observation 20fc2eef-f56a-4948-9fbc-d2f28d001f88 · outbound

This paper cites Khorasani, M.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Khorasani, M

Reference 16

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Observation 08ffbd32-704f-438e-b63f-359a7d77f760 · outbound

This paper cites u ttler, M. Lewis, W.-t. Yih, T. Rockt \.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework u ttler, M. Lewis, W.-t. Yih, T. Rockt \

Reference 17

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Observation ed9047d9-13b4-4fb2-8b95-dd8c33acaa43 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 18

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Observation cfd82f4b-044b-4a1a-990b-d0215b842921 · outbound

This paper cites Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

Reference 19

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Observation 081d7616-46af-452b-9a15-dac7428904e2 · outbound

This paper cites Lomax, J.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Lomax, J

Reference 20

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Observation c8510c51-381b-41c2-8c57-c093110a2afb · outbound

This paper cites Lomax, A.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Lomax, A

Reference 21

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Observation ead745dc-53c7-4807-9fc0-cf347d6d4c66 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 22

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Observation 7a4646d6-e708-4105-9b99-a93c0a1efa0f · outbound

This paper cites Nakata, S.-M.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Nakata, S.-M

Reference 23

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Observation 41fe2089-9501-4303-b809-4a0c585a9bdc · outbound

This paper cites Nakata, Z.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Nakata, Z

Reference 24

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Observation 89bf27c7-2288-4f94-b368-807a3e95d269 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 25

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Observation f3b62519-6e7d-47a8-9fbc-26af5741a1e7 · outbound

This paper cites Introducing deep research (https://openai.com/index/introducing-deep-research/).

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Introducing deep research (https://openai.com/index/introducing-deep-research/)

Reference 26

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Observation 42d6c7fc-3303-4d64-88c1-23296d68cd43 · outbound

This paper cites Instruction Tuning with GPT-4.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Instruction Tuning with GPT-4

Reference 27

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Observation 2c2df1b3-a304-4f2d-aa77-c1706d0d5f9f · outbound

This paper cites QGIS Geographic Information System.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework QGIS Geographic Information System

Reference 28

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Observation 0bab82f2-cfe7-4379-87aa-17f47bda64fb · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 29

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Observation e096d732-648b-45ca-b697-aef72c776ae5 · outbound

This paper cites Reasenberg.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Reasenberg

Reference 30

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Observation faf69573-6e36-4fc2-8a97-3e0747549ba1 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 31

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Observation 382c2cef-1917-412c-ac65-9ddc0c710adc · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 32

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Observation ae418974-c273-47a5-9604-02472d5132e0 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 33

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Observation d0c69bbb-54c4-4c13-85c0-0a604258bb60 · outbound

This paper cites Gemma 3 Technical Report.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Gemma 3 Technical Report

Reference 34

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Observation b1d77abf-9340-4b14-a36b-fbdd45bfabc5 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 35

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Observation 7d55d7e6-ffdb-46ba-a23d-1c034f54daa3 · outbound

This paper cites Waldhauser.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Waldhauser

Reference 36

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Observation ec0e3daa-f8c3-4de2-a05a-78ad36251804 · outbound

This paper cites Weers, S.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Weers, S

Reference 37

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Observation 82387072-c994-4b3d-a823-5a492c490d87 · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 38

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Observation 0a5349dd-1715-4dd3-b7d1-342830d1464d · outbound

This paper cites an unresolved cited work.

Advancing Subsurface Discovery and Geothermal Monitoring with an Agentic Artificial Intelligence Framework Unresolved cited work

Reference 39

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Pith citing papers

No inbound Pith citation observations are available.