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Paper Citation Record · LEDGER

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs

As of 5 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2604.16011.

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

pith.paper-citation-record.v1
2604.16011 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:24:56.939461Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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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.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 3c715d94-7f7e-4808-8172-ea839bbe5c16 · outbound

This paper cites Northeast-southwest compressive stress in alberta evidence from oil wells.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Northeast-southwest compressive stress in alberta evidence from oil wells

Reference 1

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Observation 2cc7c2dd-af63-4dfd-933a-106f9210f9fe · outbound

This paper cites Orientation of the stress field from breakouts in a crystalline well in a seismic active area.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Orientation of the stress field from breakouts in a crystalline well in a seismic active area

Reference 2

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Observation 9712ee99-597d-47b4-bda8-9a3e33dabb1c · outbound

This paper cites Well bore breakouts and in situ stress.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Well bore breakouts and in situ stress

Reference 3

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Observation 2935a850-9190-45c7-9400-3ef4e58a605d · outbound

This paper cites Moos and M.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Moos and M

Reference 4

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Source-reported events for the cited work

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Observation e4c3d1bf-9a11-485d-9352-c3e228d75f5c · outbound

This paper cites Determination of stress orientation and magnitude in deep wells.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Determination of stress orientation and magnitude in deep wells

Reference 5

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Observation a771ab06-e271-4051-a884-711381996939 · outbound

This paper cites Localized rotation of principal stress around faults and fractures determined from borehole breakouts in hole b of the taiwan chelungpu-fault drilling project (tcdp).

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Localized rotation of principal stress around faults and fractures determined from borehole breakouts in hole b of the taiwan chelungpu-fault drilling project (tcdp)

Reference 6

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Observation c6f7e4a3-846c-4966-8299-4266be03c0f9 · outbound

This paper cites Stress magnitudes in the basel enhanced geothermal system.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Stress magnitudes in the basel enhanced geothermal system

Reference 7

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Observation d55382db-7024-444a-b841-ddda405e066d · outbound

This paper cites Application of supervised machine learning classification models to identify borehole breakouts in carbonate reservoirs based on conventional log data.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Application of supervised machine learning classification models to identify borehole breakouts in carbonate reservoirs based on conventional log data

Reference 8

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Source-reported events for the cited work

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Observation b3079ecd-ddbf-4ec3-bc88-7c3de8ad6090 · outbound

This paper cites Stress-induced borehole elongation: A comparison between the four-arm dipmeter and the borehole televiewer in the auburn geothermal well.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Stress-induced borehole elongation: A comparison between the four-arm dipmeter and the borehole televiewer in the auburn geothermal well

Reference 9

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Observation 208db56d-9d51-49ca-a78f-305b95eeb935 · outbound

This paper cites Subsurface fracture analysis and determination of in-situ stress direction using fmi logs: An example from the santonian carbonates (ilam formation) in the abadan plain, iran.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Subsurface fracture analysis and determination of in-situ stress direction using fmi logs: An example from the santonian carbonates (ilam formation) in the abadan plain, iran

Reference 10

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Observation 1aa93773-2229-4e40-a734-fe14bf3804e9 · outbound

This paper cites Automated breakout detection current possibilities and their benefit for wellbore stability prediction.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Automated breakout detection current possibilities and their benefit for wellbore stability prediction

Reference 11

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Observation fc2ef5b0-215b-4bcf-85ba-6a034acfc408 · outbound

This paper cites Automated borehole breakout interpretation from ultrasonic imaging: Application to a deep borehole drilled into the crystalline crust.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Automated borehole breakout interpretation from ultrasonic imaging: Application to a deep borehole drilled into the crystalline crust

Reference 12

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Observation bb5ee231-6033-4b21-96b7-6bddfa64d9ac · outbound

This paper cites Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks

Reference 13

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Observation 8b539386-2b0f-45ac-aa05-39500f32d619 · outbound

This paper cites Automatic detection of borehole breakout for image logs using yolo algorithm.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Automatic detection of borehole breakout for image logs using yolo algorithm

Reference 14

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Source-reported events for the cited work

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Observation fd814b13-b6eb-454b-9ea3-c49b52763b0c · outbound

This paper cites Automated extraction of bore- hole breakout properties from acoustic televiewer (atv) data.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Automated extraction of bore- hole breakout properties from acoustic televiewer (atv) data

Reference 15

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Observation 5820af31-3b89-45fd-a221-ec80d708a2db · outbound

This paper cites A semi-supervised approach for borehole image log structures segmentation for small labeled datasets.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs A semi-supervised approach for borehole image log structures segmentation for small labeled datasets

Reference 16

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Observation 93d06b62-315d-415e-9af9-abafc4e638c8 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Encoder- decoder with atrous separable convolution for semantic image segmen- tation

Reference 17

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Observation c6ea9879-dafb-4c31-b2a8-6f1bafdc7cea · outbound

This paper cites Stress concentration at the bottom of a borehole and its effect on borehole breakout formation.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Stress concentration at the bottom of a borehole and its effect on borehole breakout formation

Reference 18

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Observation 34d8760b-08a4-43bc-90ad-5d0ae7f6a9da · outbound

This paper cites Micromechanisms of borehole instability leading to break- outs in rocks.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Micromechanisms of borehole instability leading to break- outs in rocks

Reference 19

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Observation 08393fbb-a1bd-4ae0-8ce3-5106ee124552 · outbound

This paper cites Evolution of stress-induced borehole breakout in inherently anisotropic rock: Insights from discrete element modeling.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Evolution of stress-induced borehole breakout in inherently anisotropic rock: Insights from discrete element modeling

Reference 20

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Observation 252fa56f-b39a-4be6-8783-7de69553b5ad · outbound

This paper cites Impact of fracture networks on borehole breakout heterogeneities in crystalline rock.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Impact of fracture networks on borehole breakout heterogeneities in crystalline rock

Reference 21

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Observation 924ecdc6-9219-4e49-9e9a-45d53fd7aafa · outbound

This paper cites Multi-disciplinary characterizations of the bedrettolab – a new underground geoscience research facility.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Multi-disciplinary characterizations of the bedrettolab – a new underground geoscience research facility

Reference 22

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Observation 123135a6-24eb-46a4-a9b0-b5846eae92d8 · outbound

This paper cites Fault zone spatial stress variations in a granitic rock mass: Revealed by breakouts within an array of boreholes.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Fault zone spatial stress variations in a granitic rock mass: Revealed by breakouts within an array of boreholes

Reference 23

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Observation 6c41c61f-1b1c-4543-a6a2-4bd89f24a446 · outbound

This paper cites Borehole image log and statistical analysis of foh-3d, fallon naval air station, nv.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Borehole image log and statistical analysis of foh-3d, fallon naval air station, nv

Reference 24

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Observation 7567a76f-c9e2-4856-aec7-9ab98fa788ff · outbound

This paper cites Structural interpretation from televiewer surveys.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Structural interpretation from televiewer surveys

Reference 25

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Observation 9fa8956d-6510-4e12-b521-4f6af9de44fb · outbound

This paper cites In-situ stress orientation and magnitude at the fenton geothermal site, new mexico, determined from wellbore breakouts.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs In-situ stress orientation and magnitude at the fenton geothermal site, new mexico, determined from wellbore breakouts

Reference 26

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Observation 801d36bb-6582-4c8b-9158-338de754ee59 · outbound

This paper cites Estimation of maximum horizontal principal stress magnitude from stress-induced well bore breakouts in the cajon pass scientific research borehole.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Estimation of maximum horizontal principal stress magnitude from stress-induced well bore breakouts in the cajon pass scientific research borehole

Reference 27

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Observation ff78715b-a732-4af3-af8f-be35c2274c89 · outbound

This paper cites Subsurface geophysical characterization of the crystalline canadian shield in northeastern alberta: implications for geothermal development.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Subsurface geophysical characterization of the crystalline canadian shield in northeastern alberta: implications for geothermal development

Reference 28

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Observation 475c49e5-dbde-43e7-a582-973441ec9491 · outbound

This paper cites Iodp expeditions 309 and 312 drill an intact section of upper oceanic basement into gabbros.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Iodp expeditions 309 and 312 drill an intact section of upper oceanic basement into gabbros

Reference 29

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Observation 811aef00-f4f7-4902-b8f8-74d48af4a062 · outbound

This paper cites Heterogeneity versus anisotropy and the state of stress in stable cratons: Observations from a deep bore- hole in northeastern alberta, canada.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Heterogeneity versus anisotropy and the state of stress in stable cratons: Observations from a deep bore- hole in northeastern alberta, canada

Reference 30

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 01b5976d-4bda-4cfa-946b-c6e0a545c444 · outbound

This paper cites Drilling to gabbro in intact ocean crust.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Drilling to gabbro in intact ocean crust

Reference 31

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 29f612d9-ae97-4403-92b5-787352f0e732 · outbound

This paper cites an unresolved cited work.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8a714291-b2e4-4356-b583-92232006d0e9 · outbound

This paper cites Shallow tectonic stress magnitudes at the hikurangi subduction margin, new zealand.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Shallow tectonic stress magnitudes at the hikurangi subduction margin, new zealand

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d0c5efdb-487c-4878-a7fe-d7e338ceda19 · outbound

This paper cites State of stress across major faults in the nankai subduction zone estimated from wellbore breakouts.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs State of stress across major faults in the nankai subduction zone estimated from wellbore breakouts

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 020dbe4a-5cff-43e0-900f-3d4426b70b68 · outbound

This paper cites Global crustal stress pattern based on the world stress map database release 2008.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Global crustal stress pattern based on the world stress map database release 2008

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8ecbbe8f-e968-4056-b059-befafffd70ba · outbound

This paper cites Training region-based object detectors with online hard example mining.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Training region-based object detectors with online hard example mining

Reference 36

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ce934899-d938-4e35-b057-b25bb4dcefbd · outbound

This paper cites Hard negative examples are hard, but useful.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Hard negative examples are hard, but useful

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8238316e-3377-4d99-b608-0585d804c429 · outbound

This paper cites Borehole logging data (acoustic and optical televiewer) from boreholes in the bedretto lab [dataset].

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Borehole logging data (acoustic and optical televiewer) from boreholes in the bedretto lab [dataset]

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation fe0b6130-f154-4342-b75b-e19940ee457d · outbound

This paper cites Geophysical logging and image data from the hunt well, ne alberta [dataset].

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Geophysical logging and image data from the hunt well, ne alberta [dataset]

Reference 39

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 2ad3bab8-9764-48e9-bbc3-a1cf758e23cb · outbound

This paper cites Acoustic image log borehole breakout dataset for advancing deep learning in automatic breakout characterization from image logs.

Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Acoustic image log borehole breakout dataset for advancing deep learning in automatic breakout characterization from image logs

Reference 40

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Pith citing papers

No inbound Pith citation observations are available.