Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:17:39.777500Z
Paper Citation Record · LEDGER
Evaluation of Seismic Artificial Intelligence with Uncertainty
As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2501.14809.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact0
- verified fuzzy37
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 01afd068-2efb-4150-b315-314611c3b1b3 · outbound
This paper cites PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method.Geophys.
Evaluation of Seismic Artificial Intelligence with Uncertainty PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method.Geophys
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.569912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 107ed74d-f000-4644-875b-10eceeb84c6f · outbound
This paper cites an unresolved cited work.
Evaluation of Seismic Artificial Intelligence with Uncertainty Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:17:40.557994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f3c3d36-777d-4795-ace2-bef77360d25c · outbound
This paper cites Deep Learning for Geophysics: Current and Future Trends.Rev.
Evaluation of Seismic Artificial Intelligence with Uncertainty Deep Learning for Geophysics: Current and Future Trends.Rev
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.546079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation defe717e-371f-467f-abb7-772c4e6adad2 · outbound
This paper cites Mostafa Mousavi and Gregory C.
Evaluation of Seismic Artificial Intelligence with Uncertainty Mostafa Mousavi and Gregory C
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.534113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation afceb528-80b3-4f7b-bf85-7974d8d845ec · outbound
This paper cites Mostafa Mousavi, Gregory C.
Evaluation of Seismic Artificial Intelligence with Uncertainty Mostafa Mousavi, Gregory C
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.522684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c324bd0-1315-44e7-8b80-f670805149cf · outbound
This paper cites SeisBench—A Toolbox for Machine Learning in Seismology.Seismol.
Evaluation of Seismic Artificial Intelligence with Uncertainty SeisBench—A Toolbox for Machine Learning in Seismology.Seismol
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.510278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8ebe9240-1fdd-45ca-8a57-62cc76992aaf · outbound
This paper cites Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers.J.
Evaluation of Seismic Artificial Intelligence with Uncertainty Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers.J
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.497404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 25c2326e-a62e-46c6-89d6-5a417d38de96 · outbound
This paper cites Accounting for Variance in Machine Learning Benchmarks.
Evaluation of Seismic Artificial Intelligence with Uncertainty Accounting for Variance in Machine Learning Benchmarks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.540104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07fa7b00-6f76-410b-8c89-3960196e1b94 · outbound
This paper cites Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging.
Evaluation of Seismic Artificial Intelligence with Uncertainty Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.482001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f9ef68d1-b719-4563-9753-229b56ce3f7b · outbound
This paper cites Spiegelhalter.
Evaluation of Seismic Artificial Intelligence with Uncertainty Spiegelhalter
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.469058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 786c0fc3-aed2-46f8-9a44-545af65e8d65 · outbound
This paper cites Dietterich.
Evaluation of Seismic Artificial Intelligence with Uncertainty Dietterich
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.455369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2692658-8357-4372-911a-332704357bf8 · outbound
This paper cites The Benchmark Lottery.
Evaluation of Seismic Artificial Intelligence with Uncertainty The Benchmark Lottery
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.560777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af8f9101-c173-4b20-9cf1-884cde7bc7e9 · outbound
This paper cites Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance.
Evaluation of Seismic Artificial Intelligence with Uncertainty Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.442633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9c4ef5c7-81c5-4590-b8d4-e164479232a7 · outbound
This paper cites Measuring the Data Efficiency of Deep Learning Methods.
Evaluation of Seismic Artificial Intelligence with Uncertainty Measuring the Data Efficiency of Deep Learning Methods
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-10T20:17:39.970787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ed52728-abd0-478b-83c0-050462b8b889 · outbound
This paper cites an unresolved cited work.
Evaluation of Seismic Artificial Intelligence with Uncertainty Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:17:40.430076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97a3e525-4f2b-44b5-b446-b7c5a8529ccf · outbound
This paper cites Bornstein, D.
Evaluation of Seismic Artificial Intelligence with Uncertainty Bornstein, D
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.416824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c07914a-a7f4-43ac-a053-9836d8fbc38c · outbound
This paper cites SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects.NAR Genomics Bioinf., 6(3):lqae106, July 2024.
Evaluation of Seismic Artificial Intelligence with Uncertainty SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects.NAR Genomics Bioinf., 6(3):lqae106, July 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.404658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c49e46a-b7f0-4e4e-9d52-9c3c0d00ccaa · outbound
This paper cites Ross, Men-Andrin Meier, Egill Hauksson, and Thomas H.
Evaluation of Seismic Artificial Intelligence with Uncertainty Ross, Men-Andrin Meier, Egill Hauksson, and Thomas H
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.390125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ba00d09-9798-4a0d-9a8b-8d2ae43d576f · outbound
This paper cites Mostafa Mousavi, William L.
Evaluation of Seismic Artificial Intelligence with Uncertainty Mostafa Mousavi, William L
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.376694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 536dbeeb-10a3-4ec2-9030-745d1f98489c · outbound
This paper cites CubeNet: Array-Based Seismic Phase Picking with Deep Learning.Seismol.
Evaluation of Seismic Artificial Intelligence with Uncertainty CubeNet: Array-Based Seismic Phase Picking with Deep Learning.Seismol
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.362700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b7d417d-a12d-433a-af2a-5f66f24bc23a · outbound
This paper cites Deep learning for seismic phase detection and picking in the aftershock zone of 2008 M7.9 Wenchuan Earthquake.
Evaluation of Seismic Artificial Intelligence with Uncertainty Deep learning for seismic phase detection and picking in the aftershock zone of 2008 M7.9 Wenchuan Earthquake
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.347737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78781a80-91dd-4901-aafa-39a8fba620c8 · outbound
This paper cites Mostafa Mousavi, Peter Bailis, and Gregory C.
Evaluation of Seismic Artificial Intelligence with Uncertainty Mostafa Mousavi, Peter Bailis, and Gregory C
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.333193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1f0cfb48-04ef-4653-b660-2c187f4f77c9 · outbound
This paper cites Seismic-phase detection using multiple deep learning models for global and local representations of waveforms.Geophys.
Evaluation of Seismic Artificial Intelligence with Uncertainty Seismic-phase detection using multiple deep learning models for global and local representations of waveforms.Geophys
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.318663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d361cb96-e6bf-4270-b857-d32046c77f89 · outbound
This paper cites OBSTransformer: a deep-learning seismic phase picker for OBS data using automated labelling and transfer learning.Geophys.
Evaluation of Seismic Artificial Intelligence with Uncertainty OBSTransformer: a deep-learning seismic phase picker for OBS data using automated labelling and transfer learning.Geophys
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.305034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 513b0c1a-7a36-4d93-a94b-64e93f6a126f · outbound
This paper cites Cianetti, R.
Evaluation of Seismic Artificial Intelligence with Uncertainty Cianetti, R
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.288107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44f56710-a2cc-4e24-8a2a-cc6e3c1ca786 · outbound
This paper cites Beroza, and William L.
Evaluation of Seismic Artificial Intelligence with Uncertainty Beroza, and William L
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.273700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fbe04f29-8dc4-4674-a76a-849b3cb86b07 · outbound
This paper cites Yoon, Elizabeth S.
Evaluation of Seismic Artificial Intelligence with Uncertainty Yoon, Elizabeth S
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.255998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10e26ce4-3d0f-4f6b-9eb2-de74d926ec16 · outbound
This paper cites Armstrong, Zachary Claerhout, Ben Baker, and Keith D.
Evaluation of Seismic Artificial Intelligence with Uncertainty Armstrong, Zachary Claerhout, Ben Baker, and Keith D
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.240213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56096bd7-5ba4-41ce-b0cb-113cf6ea60f6 · outbound
This paper cites Mostafa Mousavi, Yixiao Sheng, Weiqiang Zhu, and Gregory C.
Evaluation of Seismic Artificial Intelligence with Uncertainty Mostafa Mousavi, Yixiao Sheng, Weiqiang Zhu, and Gregory C
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.224186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cc6876b3-69ce-4901-ba75-6d15bcbe7774 · outbound
This paper cites INSTANCE – the Italian seismic dataset for machine learning.Earth Syst.
Evaluation of Seismic Artificial Intelligence with Uncertainty INSTANCE – the Italian seismic dataset for machine learning.Earth Syst
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.208632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ecf7809e-9ee7-42ae-9a38-dd8a1bec7de2 · outbound
This paper cites Scikit-learn: Machine Learning in Python.
Evaluation of Seismic Artificial Intelligence with Uncertainty Scikit-learn: Machine Learning in Python
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.648503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb5a59a4-668e-4772-a7b0-ee5d4033f8bc · outbound
This paper cites Development of a high-performance seismic phase picker using deep learning in the Hakone volcanic area.Earth Planets Space, 75(1):85, May 2023.
Evaluation of Seismic Artificial Intelligence with Uncertainty Development of a high-performance seismic phase picker using deep learning in the Hakone volcanic area.Earth Planets Space, 75(1):85, May 2023
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.193313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce906589-4ca2-4248-927e-75dbd16fde37 · outbound
This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.
Evaluation of Seismic Artificial Intelligence with Uncertainty U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.168500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ad18461-135a-4762-bbf4-54e7cf2d2b5c · outbound
This paper cites Chamberlain, John Townend, and Emily Warren-Smith.
Evaluation of Seismic Artificial Intelligence with Uncertainty Chamberlain, John Townend, and Emily Warren-Smith
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.154018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9857ff94-4064-400e-8df4-ddbf23fb9f9d · outbound
This paper cites Delbridge, and David R.
Evaluation of Seismic Artificial Intelligence with Uncertainty Delbridge, and David R
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.141748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1daa3db9-3f2d-47fc-a356-12f22c1a7280 · outbound
This paper cites Santos-Villalobos, Singanallur V.
Evaluation of Seismic Artificial Intelligence with Uncertainty Santos-Villalobos, Singanallur V
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.126608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e734540-69a6-4c59-8f0e-fdb2eaca663c · outbound
This paper cites Fine-Tuning U-Net for Ultrasound Image Segmentation: Different Layers, Different Outcomes.IEEE Trans.
Evaluation of Seismic Artificial Intelligence with Uncertainty Fine-Tuning U-Net for Ultrasound Image Segmentation: Different Layers, Different Outcomes.IEEE Trans
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.113354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b963a732-29be-4c57-835f-5d627d534034 · outbound
This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
Evaluation of Seismic Artificial Intelligence with Uncertainty Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.683466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b061ebb9-b5cb-4ca3-af9a-27c3f9011461 · outbound
This paper cites Snapshot Ensembles: Train 1, get M for free.
Evaluation of Seismic Artificial Intelligence with Uncertainty Snapshot Ensembles: Train 1, get M for free
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.689902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 849e2e1b-29ba-4225-987c-9f9b4b36ccbf · outbound
This paper cites Ganaie, Minghui Hu, A.K.
Evaluation of Seismic Artificial Intelligence with Uncertainty Ganaie, Minghui Hu, A.K
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.097426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ca7e421-5b7a-4498-ab1a-31729767c729 · outbound
This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.
Evaluation of Seismic Artificial Intelligence with Uncertainty PyTorch: An Imperative Style, High-Performance Deep Learning Library
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.706453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c077f657-226c-4f0a-a51f-8e07fdfb2bf5 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Evaluation of Seismic Artificial Intelligence with Uncertainty Adam: A Method for Stochastic Optimization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.711545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2f39f54-2a49-4298-bb14-63c7156e7e8b · outbound
This paper cites Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network.Earthquake Sci., 36(2):113–131, April 2023.
Evaluation of Seismic Artificial Intelligence with Uncertainty Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic Network.Earthquake Sci., 36(2):113–131, April 2023
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.081563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63100ad8-9697-48ae-96b9-102ee16be536 · outbound
This paper cites Bayesian approach for neural networks—review and case studies.Neural Networks, 14(3):257–274, April 2001.
Evaluation of Seismic Artificial Intelligence with Uncertainty Bayesian approach for neural networks—review and case studies.Neural Networks, 14(3):257–274, April 2001
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.065740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aca87697-daa3-4e10-ae84-903b1db4a39f · outbound
This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.
Evaluation of Seismic Artificial Intelligence with Uncertainty Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.730030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f43cd9c-e95a-41a9-92cb-ad2049b3738b · outbound
This paper cites A Simple Baseline for Bayesian Uncertainty in Deep Learning.
Evaluation of Seismic Artificial Intelligence with Uncertainty A Simple Baseline for Bayesian Uncertainty in Deep Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.734955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfdf93ef-382c-4e32-be81-66ebcca63525 · outbound
This paper cites A Survey of Uncertainty in Deep Neural Networks.
Evaluation of Seismic Artificial Intelligence with Uncertainty A Survey of Uncertainty in Deep Neural Networks
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.740946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 176ebc66-5dd5-48c8-bd58-fae654510ebb · outbound
This paper cites Bayesian Deep Learning and a Probabilistic Perspective of Generalization.
Evaluation of Seismic Artificial Intelligence with Uncertainty Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.747447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0cd3de4-f3fb-497a-9217-af21f0e49ae0 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Evaluation of Seismic Artificial Intelligence with Uncertainty On the Opportunities and Risks of Foundation Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.752216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f3f6625-76fa-4d6f-b2f0-d157b38065db · outbound
This paper cites Seismic foundation model: A next generation deep-learning model in geophysics.Geophysics, 90(2):IM59–IM79, March 2025.
Evaluation of Seismic Artificial Intelligence with Uncertainty Seismic foundation model: A next generation deep-learning model in geophysics.Geophysics, 90(2):IM59–IM79, March 2025
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.050215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c11548c7-67de-48b2-b551-60ab706c0b71 · outbound
This paper cites A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys, September.
Evaluation of Seismic Artificial Intelligence with Uncertainty A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys, September
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.036166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ac8234cb-8c75-4d7d-b35d-405621b38159 · outbound
This paper cites SeisLM: a Foundation Model for Seismic Waveforms.
Evaluation of Seismic Artificial Intelligence with Uncertainty SeisLM: a Foundation Model for Seismic Waveforms
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:17:39.772428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a565e4f0-c24c-49b3-ac03-dbb3c16ae0dc · outbound
This paper cites SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction.IEEE Trans.
Evaluation of Seismic Artificial Intelligence with Uncertainty SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction.IEEE Trans
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:17:40.022040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.