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Paper Citation Record · LEDGER

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance

As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.25376.

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

pith.paper-citation-record.v1
2607.25376 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:41:45.701944Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

68 of 68 outbound references displayed

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External citation measurements

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Outbound references

Observation 0a9454a2-7464-49f7-8f0f-7629ad4ca379 · outbound

This paper cites doi:10.1137/140951758 , journal =.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance doi:10.1137/140951758 , journal =

Reference 1

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 2

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This paper cites Kolda and Ali Pinar , eprint =.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Kolda and Ali Pinar , eprint =

Reference 3

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This paper cites and Zhang, Shanrong and Merritt, Matthew E.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance and Zhang, Shanrong and Merritt, Matthew E

Reference 4

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance 2003 , eid =

Reference 5

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 6

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance : A Document Preparation System

Reference 7

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 8

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This paper cites and Van Loan, Charles F.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance and Van Loan, Charles F

Reference 9

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 10

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 11

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 12

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 13

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Neurocomputing , volume=

Reference 14

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Proceedings of the National Academy of Sciences , volume=

Reference 15

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Generalized Variational Inference: Three arguments for deriving new Posteriors

Reference 16

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Can Bayesian Neural Networks Make Confident Predictions?

Reference 17

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Artificial Intelligence Review , volume=

Reference 18

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 19

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Uncertainty estimation under model misspecification in neural network regression

Reference 20

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International Conference on Machine Learning , pages=

Reference 21

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 22

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Artificial intelligence and statistics , pages=

Reference 23

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Advances in neural information processing systems , volume=

Reference 24

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance , author=

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Robust Inference and Model Criticism Using Bagged Posteriors

Reference 26

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Entropy , volume=

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Bayesian Neural Network Priors Revisited

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International conference on machine learning , pages=

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Journal of the American statistical Association , volume=

Reference 30

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance the Journal of machine Learning research , volume=

Reference 31

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Proceedings of the sixth annual conference on Computational learning theory , pages=

Reference 32

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International conference on machine learning , pages=

Reference 33

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International conference on machine learning , pages=

Reference 34

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Advances in neural information processing systems , volume=

Reference 35

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance The annals of mathematical statistics , volume=

Reference 36

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Machine learning , volume=

Reference 37

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International conference on machine learning , pages=

Reference 38

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance 1992 , institution=

Reference 39

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Observation 70c5fed8-9eb0-44d1-ab62-e8854d822547 · outbound

This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , volume=

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Observation d485fc29-5383-4309-ac21-a39b5bc4a260 · outbound

This paper cites International Conference on Machine Learning , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International Conference on Machine Learning , pages=

Reference 41

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Observation 8789845f-ecb7-4260-9413-7d08d94602f4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Advances in Neural Information Processing Systems , volume=

Reference 42

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Observation ed90bfdd-8bda-4d1a-a289-078b37fd235f · outbound

This paper cites Journal of the American statistical Association , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Journal of the American statistical Association , volume=

Reference 43

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Observation 12371c9f-4edf-403c-b8b8-ca5e79e8c925 · outbound

This paper cites 2014 , howpublished =.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance 2014 , howpublished =

Reference 44

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Observation be796a8f-e409-4208-b2c1-7ee096c9fb7f · outbound

This paper cites Avalable: https://transparency.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Avalable: https://transparency

Reference 45

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Observation c3e421c2-1258-40d1-85a8-4a4810b25eb6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Advances in neural information processing systems , volume=

Reference 46

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Observation 287e6bf1-1cdd-4a60-82d3-a5ea5c8ef0db · outbound

This paper cites International conference on learning representations (ICLR) , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International conference on learning representations (ICLR) , volume=

Reference 47

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Observation edd8455b-d5bd-4fa4-96c2-defa667d3f31 · outbound

This paper cites Advances in neural information processing systems , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Advances in neural information processing systems , volume=

Reference 48

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Observation d6e6f5ce-1075-4786-8c06-47845ffc48fd · outbound

This paper cites International Journal of Forecasting , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International Journal of Forecasting , volume=

Reference 49

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Observation c10b2ea7-3b00-4e20-b9fa-b7cbedb1f137 · outbound

This paper cites Bulletin of the Seismological Society of America , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Bulletin of the Seismological Society of America , volume=

Reference 50

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Observation d32af873-5b26-47fc-9636-d7fab95d619a · outbound

This paper cites Frontiers in Applied Mathematics and Statistics , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Frontiers in Applied Mathematics and Statistics , volume=

Reference 51

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Observation 0f558bd6-51af-496d-bce6-c902efb36240 · outbound

This paper cites Scandinavian journal of statistics , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Scandinavian journal of statistics , pages=

Reference 52

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Observation 5bc5e79a-135b-4ca6-a80e-3ca98635e9c1 · outbound

This paper cites 2024 , url =.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance 2024 , url =

Reference 53

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Observation e4ab08ea-631a-457d-a78d-639d93bacd04 · outbound

This paper cites Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 , pages=

Reference 54

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Observation d1c683ff-dae6-4811-9c42-29cf670e9dfe · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Artificial Intelligence and Statistics , pages=

Reference 55

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Observation 3ee0bdca-6203-430a-8961-08a0168b8335 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Journal of the American Statistical Association , volume=

Reference 56

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Observation b017039a-0ebc-4803-ac87-d70771f22d2b · outbound

This paper cites , urldate =.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance , urldate =

Reference 57

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Observation f4c59933-62fc-47ff-ab5c-1b6c36917234 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Journal of Machine Learning Research , volume=

Reference 58

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Observation 34471099-5186-4b1e-a2ac-91675ac20639 · outbound

This paper cites Artificial intelligence and statistics , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Artificial intelligence and statistics , pages=

Reference 59

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Observation ec8eb5e2-870c-4887-958e-bb2ba6496915 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 60

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Observation 7397b8d1-faaa-4b8c-a608-eb7ebb2bf478 · outbound

This paper cites Learning in graphical models , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Learning in graphical models , pages=

Reference 61

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Observation 2e2bc90d-d19f-491a-b6fd-18f99a218a93 · outbound

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 62

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Observation ec3aa080-a3f5-4cb2-b29a-268c0607fbc8 · outbound

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 63

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Observation 4c60f784-36c7-4557-a4c6-f2dd86b76f3a · outbound

This paper cites an unresolved cited work.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Unresolved cited work

Reference 64

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Observation 296d167e-8a6f-4db3-92d7-f5ab715a358b · outbound

This paper cites Scale Mixtures of Neural Network Gaussian Processes.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Scale Mixtures of Neural Network Gaussian Processes

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Observation d93cd948-5cc7-439b-a9d5-fc4a2c3fa130 · outbound

This paper cites Nature Communications , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Nature Communications , volume=

Reference 66

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Observation ea57a84a-d82e-40b9-be05-2af253c7cd5a · outbound

This paper cites Neural networks , volume=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Neural networks , volume=

Reference 67

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source=arxiv_source observed=2026-08-01T02:41:45.649398Z digest=sha256:1d0e883a084c2bd9693a5a852805a5ed1c5bd9fd4f4d41985578e0f013b0fd11

Observation 99d213ae-6c7a-4dd3-baed-455d99584f8c · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance International Conference on Artificial Intelligence and Statistics , pages=

Reference 68

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Pith citing papers

No inbound Pith citation observations are available.