Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:57:16.203719Z
Paper Citation Record · LEDGER
Expert-elicitation method for non-parametric joint priors using normalizing flows
As of 13 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2411.15826.
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 2026-08-12T06:34:41.77262+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
74 of 74 outbound references displayed
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External citation measurements
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Outbound references
Observation 45ccc49a-b714-4165-8b8a-dca28f607942 · outbound
This paper cites In: 12th USENIX symposium on operating systems design and implementation (OSDI 16), pp 265--283, doi:10.5555/3026877.3026899.
Expert-elicitation method for non-parametric joint priors using normalizing flows In: 12th USENIX symposium on operating systems design and implementation (OSDI 16), pp 265--283, doi:10.5555/3026877.3026899
Reference 1
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Observation a5b22a1c-0e21-4c28-b766-8cbac411dd44 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 2
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This paper cites Blog Post, ://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html.
Expert-elicitation method for non-parametric joint priors using normalizing flows Blog Post, ://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html
Reference 3
- Resolution
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Observation 522cf494-b85f-4fd5-b123-a01ae8fa13a5 · outbound
This paper cites arXiv preprint doi:10.48550/arXiv.2110.09813.
Expert-elicitation method for non-parametric joint priors using normalizing flows arXiv preprint doi:10.48550/arXiv.2110.09813
Reference 4
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Source-reported events for the cited work
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Observation d7930b89-7e63-410b-9747-e1aff095cda2 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 5
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Observation a1b6f125-adc7-4d28-b853-8a3fd87a4cc2 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 6
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Observation f79a87a6-642b-4c06-913e-41a56c385bbc · outbound
This paper cites IEEE Trans.
Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans
Reference 7
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Observation 5bf41b97-ca7c-4e9a-93d4-1ef8f37a5e80 · outbound
This paper cites Biometrics pp 603--618.
Expert-elicitation method for non-parametric joint priors using normalizing flows Biometrics pp 603--618
Reference 8
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Source-reported events for the cited work
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Observation 7dce2194-8244-4740-a102-8045bbd65b1c · outbound
This paper cites IEEE Trans.
Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans
Reference 9
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Observation fc9d21e2-379b-497f-84a3-ab6fbb8b4254 · outbound
This paper cites Cambridge books.
Expert-elicitation method for non-parametric joint priors using normalizing flows Cambridge books
Reference 10
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Observation c8a9ca0f-7e0f-44e1-beac-b71b033d725d · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 11
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c6816c46-580d-415b-a0c3-e2be1b8c647a · outbound
This paper cites Oxford University Press, USA.
Expert-elicitation method for non-parametric joint priors using normalizing flows Oxford University Press, USA
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 393aa9f1-7390-46a0-8410-a7cf32a6b434 · outbound
This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.
Expert-elicitation method for non-parametric joint priors using normalizing flows Multi-Task Learning with Deep Neural Networks: A Survey
Reference 13
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Observation 8275ffa5-0a72-4a00-8c8c-a5d2acc39dff · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 14
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Observation 540b49d0-b1b2-4984-b5b3-96c557183d52 · outbound
This paper cites Bayesian Anal.
Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal
Reference 15
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Observation ffab5d69-92e4-43fe-938f-f6e7e6011a03 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 16
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Observation b2bf41b0-afe3-4ea8-9120-fa99990cf426 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 17
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Observation 8049c145-9cf7-451c-9f23-74083d7a9654 · outbound
This paper cites TensorFlow Distributions.
Expert-elicitation method for non-parametric joint priors using normalizing flows TensorFlow Distributions
Reference 18
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Observation a7db7b3f-4725-4c53-9fc4-c7fd98dd6342 · outbound
This paper cites NICE: Non-linear Independent Components Estimation.
Expert-elicitation method for non-parametric joint priors using normalizing flows NICE: Non-linear Independent Components Estimation
Reference 19
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Unavailable: canonical work link unavailable.
Observation 0f30ac13-573a-4068-acc1-f676b94ecdba · outbound
This paper cites Density estimation using Real NVP.
Expert-elicitation method for non-parametric joint priors using normalizing flows Density estimation using Real NVP
Reference 20
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Unavailable: canonical work link unavailable.
Observation 9291e49c-7374-4776-9b9d-f94f1f20373c · outbound
This paper cites On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows.
Expert-elicitation method for non-parametric joint priors using normalizing flows On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
Reference 21
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 22
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 23
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Observation 0a5d9d81-cf0a-4391-b1f2-310f22abc51e · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 24
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Observation a7cae006-432e-4ba2-b555-cfb88d53ff83 · outbound
This paper cites In: The 22nd International Conference on Artificial Intelligence and Statistics, PMLR, pp 2681--2690, ://proceedings.mlr.press/v89/feydy19a.html.
Expert-elicitation method for non-parametric joint priors using normalizing flows In: The 22nd International Conference on Artificial Intelligence and Statistics, PMLR, pp 2681--2690, ://proceedings.mlr.press/v89/feydy19a.html
Reference 25
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Observation e2c90d0b-5d48-4919-9896-f2e85cd15366 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 26
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 27
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Observation 673af4fa-9609-4bbc-b237-2067b3f54e87 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 28
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Observation 327d8ccb-1404-4673-b113-71325ea9e06c · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 29
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Observation a9a9a1c0-b107-4768-aa2f-1cdc12b585ad · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Entropy 19(10):555
Reference 30
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Unavailable: canonical work link unavailable.
Observation 48cb15ba-ad07-4ad8-9af5-ab41e55873f5 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Workflow
Reference 32
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 33
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Observation c3ea5a2b-3a69-4fff-abc9-46d06d2cf9c8 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows MIT press
Reference 34
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Observation f1d4ea12-0388-4d82-9328-3d364690e5e4 · outbound
This paper cites Elicitation: The science and art of structuring judgement pp 61--93.
Expert-elicitation method for non-parametric joint priors using normalizing flows Elicitation: The science and art of structuring judgement pp 61--93
Reference 35
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Observation ddbf4a9a-c75e-4806-b511-9e99c0009f7d · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 36
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Observation 580232ef-5f07-4e11-bf46-654f0f61989c · outbound
This paper cites Nature 585(7825):357--362.
Expert-elicitation method for non-parametric joint priors using normalizing flows Nature 585(7825):357--362
Reference 37
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Observation 9c55f849-d658-47f3-908d-bb565aebf681 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows In: Peters J, Sontag D (eds) Proc.Conf.UAI , PMLR, pp 1129--1138, ://proceedings.mlr.press/v124/hartmann20a.html
Reference 38
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c514f2c7-8c65-4186-aa6f-8d0502da2808 · outbound
This paper cites an unresolved cited work.
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Reference 39
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0417a19b-e201-48b3-a04a-eb14b4f1bfb4 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Statistician 47(1):3--19
Reference 40
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eefd06f3-c9ac-4763-b0a3-f9232f7b42ca · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 41
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Observation 38c93798-c1b7-4562-86d0-db1ec3c1094a · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Advances in neural information processing systems 31
Reference 42
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Observation 054f6d23-744c-4f7e-8422-fa57bd103ac7 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Auto-Encoding Variational Bayes
Reference 43
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Observation 3eded6ca-b98f-4e73-b279-68f9bafcb1d6 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans
Reference 44
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Unavailable: canonical work link unavailable.
Observation 0d6a465e-c344-42ad-b081-29ca42e790ff · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Flow Matching for Generative Modeling
Reference 45
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Unavailable: canonical work link unavailable.
Observation d95b6c35-470f-4157-9f27-e585d1ec4ff8 · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 1871--1880, doi:10.1109/CVPR.2019.00197
Reference 46
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Unavailable: canonical work link unavailable.
Observation 73979d71-48eb-4a2e-96ad-627d9c6445ac · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows arXiv preprint doi:10.48550/arXiv.2303.08528
Reference 47
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7c90bbaa-1c61-4292-9f88-0c80048b4746 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 48
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b3d0bd14-0a55-400d-8754-7f669ce8bc37 · outbound
This paper cites In: Proceedings of the 9th Python in Science Conference, Austin, TX, pp 51--56, doi:10.25080/Majora-92bf1922-00a.
Expert-elicitation method for non-parametric joint priors using normalizing flows In: Proceedings of the 9th Python in Science Conference, Austin, TX, pp 51--56, doi:10.25080/Majora-92bf1922-00a
Reference 49
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Unavailable: canonical work link unavailable.
Observation a57a15f0-d623-4b83-9414-be517b71e3ba · outbound
This paper cites Bayesian Anal.
Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal
Reference 50
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Unavailable: canonical work link unavailable.
Observation fcc3e4ad-49c7-4662-80a1-bca7c0aeed0f · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Preferential Normalizing Flows
Reference 51
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Source-reported events for the cited work
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Observation b85f7a8b-8ef7-471f-be42-c10fbe639a25 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 52
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Observation 92442d73-706a-44fc-bb78-4e275dc81a37 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 53
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Observation 0860bdd5-2ecd-4405-ab7d-cea2fdae35ff · outbound
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Expert-elicitation method for non-parametric joint priors using normalizing flows Biometrika 94(2):427--441
Reference 54
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 69d23518-5df9-458b-8ed0-88d6f0eee3dd · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 55
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e8eceb48-c87c-4a74-9c0e-41adb5452977 · outbound
This paper cites John Wiley & Sons.
Expert-elicitation method for non-parametric joint priors using normalizing flows John Wiley & Sons
Reference 56
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5ba7b46a-8862-4914-8c04-7513957b9b6a · outbound
This paper cites Anderson localization in an interacting fermionic system.
Expert-elicitation method for non-parametric joint priors using normalizing flows Anderson localization in an interacting fermionic system
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.146764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c649e05-83a8-4368-9eef-ad6f05c41f04 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:57:18.345476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f5a2ebd-48ca-4b2e-a266-67dc1a305726 · outbound
This paper cites OSF preprint doi:10.31219/osf.io/tq3an.
Expert-elicitation method for non-parametric joint priors using normalizing flows OSF preprint doi:10.31219/osf.io/tq3an
Reference 59
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.317682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 29ed74d7-3fe2-4454-87b5-528386db4b7f · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 60
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.308662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4debe08a-ce15-4d1e-83e2-ab5fa536ff56 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 61
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.299901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 568ef368-fd1b-46b9-92d2-412e331df637 · outbound
This paper cites IEEE Trans.
Expert-elicitation method for non-parametric joint priors using normalizing flows IEEE Trans
Reference 62
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-12T13:57:16.870828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2794583f-ed11-4c68-8c8a-91dafd27b39d · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.165486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92157199-28f5-4469-ba6d-50c43de41b8a · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 64
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.285455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4fb0a7ea-d48f-4835-b1da-8ca984c2f781 · outbound
This paper cites Bayesian Anal.
Expert-elicitation method for non-parametric joint priors using normalizing flows Bayesian Anal
Reference 65
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.276174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ec8d451-50f1-4f53-843b-eed33d4fc428 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:57:18.336747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 61c977cb-250e-45fb-b88b-0f04b73736cd · outbound
This paper cites Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching.
Expert-elicitation method for non-parametric joint priors using normalizing flows Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
Reference 67
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T13:57:16.266063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b13cd4f-34c7-4285-a20a-a506550d3840 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.181424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4419d21-85d3-4176-b6d7-9b6f483e1371 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 69
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.248231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c854ad1-ea08-46c8-91c2-b57b08a8e1cc · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 70
- Resolution
- verified exact
- doi, observed 2026-08-12T13:57:16.239173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 84491621-9106-4fba-aee2-cda5106830ae · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.190426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2d7cffa-cbad-4b75-8cc1-7a85741cee6d · outbound
This paper cites Springer.
Expert-elicitation method for non-parametric joint priors using normalizing flows Springer
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:57:18.328152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 153bd8c5-56bb-43c0-8c03-44ef704cbe82 · outbound
This paper cites an unresolved cited work.
Expert-elicitation method for non-parametric joint priors using normalizing flows Unresolved cited work
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.196234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 506295c7-9778-4896-9a76-54d31e744e70 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
Expert-elicitation method for non-parametric joint priors using normalizing flows , " * write output.state after.block = add.period write newline
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:57:16.199386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a678902-848b-4d7b-a453-264d4df6b183 · outbound
This paper cites write newline.
Expert-elicitation method for non-parametric joint priors using normalizing flows write newline
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:57:18.314608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.