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Paper Citation Record · LEDGER

BARNN: A Bayesian Autoregressive and Recurrent Neural Network

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2501.18665.

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

pith.paper-citation-record.v1
2501.18665 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:38:10.478349Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:38:27.499485Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T16:38:30.421194Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 326a73ac-64b1-469f-88e9-6126366a1ec0 · outbound

This paper cites write newline.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network write newline

Reference 1

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no resolver link, observed 2026-08-09T23:38:10.238504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.238504Z digest=sha256:5f30ff31555514f9a61331ddad392b746a6a2845f4bba58c38a7e3a1462af617

Observation a19de88e-6a0b-4576-95c2-aa4cd576d478 · outbound

This paper cites Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure

Reference 2

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no resolver link, observed 2026-08-09T23:38:10.243924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.243924Z digest=sha256:dff3ee7500a6bcc38c6f24df9f61d5ff8772e0baf7e6c952b6e519675fea95b8

Observation 740d8d37-e6ee-4073-8761-cac84c22fa05 · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-09T23:38:11.201395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.248843Z digest=sha256:cbe832da9a86b1f05274aaae108e1800cc779a0ba0e4bdf97ff1041da5b74deb

Observation da80bfe7-fa0e-4ee8-8fe9-1f7a071aab55 · outbound

This paper cites An Essay towards solving a Problem in the Doctrine of Chances.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network An Essay towards solving a Problem in the Doctrine of Chances

Reference 4

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raw_fallback, observed 2026-08-09T23:38:11.189602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.253356Z digest=sha256:9caa3a9ae79fe9c93317e64e88dc12c8ded0d4aba4f03c442ba6cdc4a5bd7c46

Observation 79e44cf2-92fa-4193-9165-dfb98eff04a6 · outbound

This paper cites A Neural Probabilistic Language Model.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network A Neural Probabilistic Language Model

Reference 5

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raw_fallback, observed 2026-08-09T23:38:11.178023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.257579Z digest=sha256:a3713c8d3e5f44ae8a6da2f7f30d16cbadffc9fa862f713d0c06056ac01db8d1

Observation 1c1df8f2-ffcc-4db6-9707-5be30a69f898 · outbound

This paper cites B., and Stuart, A.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network B., and Stuart, A

Reference 6

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raw_fallback, observed 2026-08-09T23:38:11.166503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bbf494f5-32b9-423f-a92e-2cb04eec5901 · outbound

This paper cites A Foundation Model for the Earth System.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network A Foundation Model for the Earth System

Reference 7

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no resolver link, observed 2026-08-09T23:38:10.266346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.266346Z digest=sha256:9994ce7c7e77e26e9d72b6963123d8cc0f698984e7d4c9934ff9d19b774969de

Observation 5d7a73b8-e98d-463c-97e2-a55322eab05e · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-09T23:38:11.155288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.271011Z digest=sha256:acec012f67ee8f74bf620f60d8170f72093c6e23be4fe94ca73bd376f88258b8

Observation f358369c-2e3e-4f1e-827d-3727e40d2842 · outbound

This paper cites E., and Welling, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network E., and Welling, M

Reference 9

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raw_fallback, observed 2026-08-09T23:38:11.142111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.275768Z digest=sha256:ea2cf0bb75cb5eabac4e5d96eac944f00b73b606b547d8c62f5b7b4a2c6699e0

Observation f36df37d-a786-440c-aa0b-be520e0bd585 · outbound

This paper cites Physics-informed neural networks for advanced modeling.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Physics-informed neural networks for advanced modeling

Reference 10

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raw_fallback, observed 2026-08-09T23:38:11.131287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.279825Z digest=sha256:62b001a63b5a28a5a6aa71161a1c4ee9465909abf69ace5eeed72b09ad700fb3

Observation 833692b3-3fe4-4352-8f41-8d46b5a0784c · outbound

This paper cites Generative Adversarial Reduced Order Modelling.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Generative Adversarial Reduced Order Modelling

Reference 11

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raw_fallback, observed 2026-08-09T23:38:11.119623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.284108Z digest=sha256:0965d5e60b41f42369d04c5f8967df12f64742952411b2ab7ba6bd01ce9dff66

Observation 49ed1e82-6e56-42de-a77a-dd7bb0a44835 · outbound

This paper cites Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-Sensitive Learning.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-Sensitive Learning

Reference 12

Resolution
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raw_fallback, observed 2026-08-09T23:38:11.108416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.288465Z digest=sha256:cc3d57d05df3455b86333a139e41a33b771894d65745f939be5a7014abe859c3

Observation 276af8c5-afba-497c-bd78-dd83e2c9f782 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network WaveNet: A Generative Model for Raw Audio

Reference 13

Resolution
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no resolver link, observed 2026-08-09T23:38:10.292452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.292452Z digest=sha256:9c857b21eff037fb7946ed4d29ab4753b536f7f8116c6411223114490dfe2257

Observation 2c8da56c-cc76-4774-94d3-761a1ac885a0 · outbound

This paper cites Variational Flow Matching for Graph Generation.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Variational Flow Matching for Graph Generation

Reference 14

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no resolver link, observed 2026-08-09T23:38:10.296550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.296550Z digest=sha256:ed8f92b996c90f422ea3ce7dd9185a7f189eeba5859d321c5dbd04e789b9d0ac

Observation de5cc990-c68e-4d80-90a0-3c68f0e7a0af · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:38:11.096588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.300596Z digest=sha256:5d69b7857cfe44fc1582b0335325b3716a6cda516dd945a35846188fdd1ed5c9

Observation 1ac94286-6f66-4cd9-91c8-35215bfdf278 · outbound

This paper cites and The PyTorch Lightning team.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network and The PyTorch Lightning team

Reference 16

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no resolver link, observed 2026-08-09T23:38:10.304585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.304585Z digest=sha256:fe65c8ded8d68ddbab334b7952541eff49ccb9c7fee928c05f18e5bb1a5512e7

Observation a888d8a9-80b6-4a96-af83-bd139d6985bb · outbound

This paper cites and Ghahramani, Z.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network and Ghahramani, Z

Reference 17

Resolution
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raw_fallback, observed 2026-08-09T23:38:11.084666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.308451Z digest=sha256:4efbb1ba0a588cd1ae1d794d9c4353a548b5594984fdcf0fbcb9b3868b5398ab

Observation c1a91255-0412-446b-906f-9017863907cd · outbound

This paper cites Practical Variational Inference for Neural Networks.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Practical Variational Inference for Neural Networks

Reference 18

Resolution
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raw_fallback, observed 2026-08-09T23:38:11.070876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.312228Z digest=sha256:584b0646aa797d08c324b9d9b2917ffb945e4648bb193c40c246765143db63eb

Observation 4a104f8c-0aae-4f7e-93c4-af656c5c1af3 · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.315857Z digest=sha256:fe4ab8f393afdda073a244d3a75bdd95964284ac144cb7a89053a7d0989f579c

Observation f26c1055-b9b8-46e7-9e5c-adf476f04d7e · outbound

This paper cites Denoising Diffusion Probabilistic Models.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Denoising Diffusion Probabilistic Models

Reference 20

Resolution
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raw_fallback, observed 2026-08-09T23:38:11.041873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ea6d7cb7-2894-4a39-ba12-6bf590469871 · outbound

This paper cites How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:11.030447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.325241Z digest=sha256:d3a1c1ea8b46d2c993911433ef3fcb7ea7289d7ed09c18c624196cb779369b2d

Observation b4a7f798-c14e-4853-a71a-6c5878a320ce · outbound

This paper cites Variational Dropout via Empirical Bayes.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Variational Dropout via Empirical Bayes

Reference 22

Resolution
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no resolver link, observed 2026-08-09T23:38:10.328851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.328851Z digest=sha256:b14d019b5d9b50a892ceb4a7796cbf9d059a3733af3a70d442e14d9ec5d24225

Observation 7f8153aa-51ba-4357-979c-0812a73cbf33 · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.332830Z digest=sha256:35210e946148ad2b134d39b07e2760440af43c29522c7320b76971139ca8c078

Observation c24a7ea9-ec20-4ba4-8921-ff879ac6d206 · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.336527Z digest=sha256:2a12747646e8cde094c48884b2cabf2f8a0e266227eaa44e6b84c3ddd0ceb497

Observation 6303f8f4-268c-45e7-8581-8b53ee651ab3 · outbound

This paper cites P., Salimans, T., and Welling, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network P., Salimans, T., and Welling, M

Reference 25

Resolution
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raw_fallback, observed 2026-08-09T23:38:10.995601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.340385Z digest=sha256:bceca480d3d7d99037614237e3f8bcde61c7254b9f0aceb9a22c0744805d75f4

Observation 508eb337-2bb1-442c-9952-662daf9fd8b7 · outbound

This paper cites Benchmarking Regressive Conditional Diffusion Models for Turbulent Flow Simulation.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Benchmarking Regressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 26

Resolution
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raw_fallback, observed 2026-08-09T23:38:10.984108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.344145Z digest=sha256:901a140d584f5c3cd48662102436aa207cf9a60a44319d66d44238b03c1d4907

Observation 6821e780-addf-48fa-9402-6466dc0e2b50 · outbound

This paper cites Bayesian Dark Knowledge.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Bayesian Dark Knowledge

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.971924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.347939Z digest=sha256:dec230941859c5266746751ae0bc7167da94c604f428d8e6b61fede25f721718

Observation 931713a8-a218-4c3a-a3d8-5b04432ab166 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network GraphCast: Learning skillful medium-range global weather forecasting

Reference 28

Resolution
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no resolver link, observed 2026-08-09T23:38:10.352129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.352129Z digest=sha256:43d5dd6e419d7069a2e49f9c7bc758f1c7ad94143d53c2f2f23ec79807f5dc37

Observation 08127460-cbda-4f8e-bd17-1cb095226b2f · outbound

This paper cites Learning Skillful Medium-Range Global Weather Forecasting.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Learning Skillful Medium-Range Global Weather Forecasting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.959992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.356524Z digest=sha256:c106222cf1ef2179c745532af3a9ea601d8aed45e087ccc2ec0f79e99d88cf84

Observation 2a4ca540-9c06-4657-a7fb-0ea9c721e3b6 · outbound

This paper cites Learning Deep Generative Models of Graphs.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Learning Deep Generative Models of Graphs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T23:38:10.360456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.360456Z digest=sha256:b67aa1f6dc57d107a8c959ccd2b7b7d6d45eeb27178fdaa59789f94aff32ad9b

Observation 48fdac67-4e8d-479d-bc06-ced8bf0fcceb · outbound

This paper cites B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A., Anandkumar, A., et al.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A., Anandkumar, A., et al

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.946352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.364412Z digest=sha256:10370a84d787432a5229d7ad3153888984adb8322ee4b668c8d249897929025d

Observation 25f6e47e-a669-4c97-b328-b69daa000a35 · outbound

This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Physics-Informed Neural Operator for Learning Partial Differential Equations

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.934410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.367981Z digest=sha256:e098f03b66ac1b5d6af6c72f1ed3d0ccf896c864494a259ee4c5ea0619c11687

Observation b73a8094-c337-4b3c-abfa-c1eb1647cc9e · outbound

This paper cites PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.922116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.371580Z digest=sha256:882a381fe5687d799b12efb848b3badd333fcf688eeedbb209e8597d084b9b2e

Observation 21c0db14-6476-43bc-a77e-cd780c9d5c52 · outbound

This paper cites Constrained Graph Variational Autoencoders for Molecule Design.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Constrained Graph Variational Autoencoders for Molecule Design

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.908751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.375331Z digest=sha256:d9283d5f65f91fab3c90b3c8141cb857724e9f08bce38d095537de026efe9cb4

Observation 3989809e-98d4-4b83-8b63-74732c779d5b · outbound

This paper cites and Welling, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network and Welling, M

Reference 35

Resolution
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raw_fallback, observed 2026-08-09T23:38:10.893970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.378749Z digest=sha256:038660ce549d297c4290b12cebe7b766b600bfe65c1de48cd6d8a4923cb6d470

Observation ab587a22-1d1f-403d-ae9c-2da852cd4b9d · outbound

This paper cites V ariational D ropout S parsifies D eep N eural N etworks.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network V ariational D ropout S parsifies D eep N eural N etworks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.881970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.382617Z digest=sha256:2d8926e7c4da201a699d53fde64e1dc93215d8930e1a6ed6bb5c93cf61a31acf

Observation 8afc7142-7e4c-4782-b55b-f35ba49b3520 · outbound

This paper cites Chemical Language Modeling with Structured State Space Sequence Models.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Chemical Language Modeling with Structured State Space Sequence Models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.869535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.386123Z digest=sha256:450437650829f2746a2fb8c352e09187fa7f45644899e058f5b1ff0e41a55271

Observation aaa20b62-0f81-4d5b-90ad-7f44323fca25 · outbound

This paper cites M., et al.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network M., et al

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.857402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.389851Z digest=sha256:e8bd8eb75c4c5e69b657d41590eab2832b7b4a119ba9de79a6b413c2d8082a04

Observation bcaeda74-102d-43bf-aa70-ffb91b17f852 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Pytorch: An imperative style, high-performance deep learning library

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T23:38:10.393443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.393443Z digest=sha256:102fa52cb110ec3308418b3d529d53af28b5854573a30da262a75ef8e9e1f2d0

Observation d1fcd9dc-61d7-4b1c-a2d8-a423d2987a21 · outbound

This paper cites Learning mesh-based simulation with graph networks.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Learning mesh-based simulation with graph networks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.836630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.397469Z digest=sha256:80954647109b1ae3e4ce3e6ce40841cde7cef618383e09dab3f711bbd4d0c07c

Observation 415a57fe-03b8-4805-b1b1-21a959b029fd · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:38:10.824213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.401285Z digest=sha256:35bf6e3a1f665ca9d6b06c179ac4dc471d09c2424fe6f9c03b023512c513986b

Observation 500a722f-4eac-47fc-9a99-9975ac8cbe38 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Language Models are Unsupervised Multitask Learners

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.812735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.405300Z digest=sha256:edbf164be463e9fc7c7b2fa6ebcf70bb763449f685a5973662c2b4e0d33c17e8

Observation 1db1c6ae-2e8b-4f5e-8680-15dfecf94dda · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:38:10.799530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.408952Z digest=sha256:ab62dbda9490c62c6485e73a10792bc89b0e044dea53a4993eba854f0f5be8d1

Observation a7e146de-5815-4499-a4c7-6fd8fda3000c · outbound

This paper cites Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.786435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.413126Z digest=sha256:7cd7dbb897368d53177367f80719479aa4c1efe349c624d158e80bcb5e19c5cd

Observation a4825a5c-cfe0-4852-a752-3f14dff9005d · outbound

This paper cites Learning to Simulate Complex Physics with Graph Networks.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Learning to Simulate Complex Physics with Graph Networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.774036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.417042Z digest=sha256:cc300ab26783f51cc4fa6d4d8c190d2d7a89efebd1e975ddf0d46bf0d607b0b7

Observation 451bbd72-95ef-4129-8d4d-a319c1922588 · outbound

This paper cites Long Short-term Memory.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Long Short-term Memory

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.762976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.420703Z digest=sha256:28d92722fb79e06f88c15fac226a08600ab72c43bc71eaf4863a52687fa4f237

Observation e8572e5f-17e2-4c51-94fa-e19ba2683627 · outbound

This paper cites Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T23:38:10.424243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.424243Z digest=sha256:0947312bdccac7da5cc11c402119765d3fe525814df672579073346e87460a9c

Observation 85080d9d-6642-465c-ab0b-0f9bd4d9ea5f · outbound

This paper cites H., Kogej, T., Tyrchan, C., and Waller, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network H., Kogej, T., Tyrchan, C., and Waller, M

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.749883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.428397Z digest=sha256:a077e2ccc4681a66191760cd9bbf5c331efde14838ba3824c3db7693eddd80d1

Observation bc16d7b3-0801-41a8-8c37-77ac384e7df2 · outbound

This paper cites GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.737206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.432120Z digest=sha256:843a6d0ea6d43a02bcca2638c4312a141f413ef5a435007f2802e894dffda558

Observation fcd64ad4-57ea-4a81-80e5-039ee698db46 · outbound

This paper cites an unresolved cited work.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-09T23:38:10.724264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.435884Z digest=sha256:fb6909f8378e44a39cbd8e78d9ab8676e8dda83fe7a20c3d49da49fff91c3bb1

Observation 2a985a69-548f-4471-a310-5ea251d2b17a · outbound

This paper cites Dropout: A Simple Way to Prevent Neural Networks from Overfitting.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.710275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.439647Z digest=sha256:e2541b3b3ab51a60e01e7b34534804630335a53d66c6f05f2c1e5a7ebfd919dd

Observation 35702ff6-6b5c-451d-b7eb-5388aa9859f4 · outbound

This paper cites and Welling, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network and Welling, M

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.697387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.443879Z digest=sha256:f1f5209a07ce753f5925b14697245caabaf6645b1740e69b51bfeb3a7294495b

Observation fb39caf0-0f18-4420-b317-498ce9e00b15 · outbound

This paper cites Neural Autoregressive Distribution Estimation.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Neural Autoregressive Distribution Estimation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.682969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.452718Z digest=sha256:8ab2f6fbd9805a31372518a99c0f832828b95bf57532d62f684480cc30f4a168

Observation 9cef8fc0-d9a4-4ddb-99e6-daa36d20c11c · outbound

This paper cites A., Wang, Y., Blankevoort, T., and Welling, M.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network A., Wang, Y., Blankevoort, T., and Welling, M

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.670360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.456986Z digest=sha256:314f796f0235a1e51fa66d7de97fdfb8b1eb799eb67e2f848dc19819e10bc0ef

Observation 1b15de81-fdf0-45f8-a653-2415f3b7a6d1 · outbound

This paper cites and Hinton, G.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network and Hinton, G

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T23:38:10.461559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:38:10.461559Z digest=sha256:6ae8d8226d7aac9822a896419ae88ef4d429d70b9d5541dc18df32cea9d73541

Observation f61f6ad8-90cc-4fb2-8abb-cb6392a50ebf · outbound

This paper cites Attention Is All You Need.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network Attention Is All You Need

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.651981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.465390Z digest=sha256:d1dee2e956e20f08b3eaf2fa24a07ae3ed4706073b08a887b9918e1bc83e9eed

Observation 5c50714c-55e7-444a-87d0-4974089c581b · outbound

This paper cites P., Bhatt, U., Neiswanger, W., Salakhutdinov, R., and Morency, L.-P.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network P., Bhatt, U., Neiswanger, W., Salakhutdinov, R., and Morency, L.-P

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.639636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.469089Z digest=sha256:2c22ba65ebcf210ccb3ebc96ca2d0e7a78a8edabde4398c4aa07d6675bcb1e5b

Observation 1b66ac27-cf15-4408-9555-d6a07e3e8fb3 · outbound

This paper cites X., Robeyns, M., Wang, X., and Aitchison, L.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network X., Robeyns, M., Wang, X., and Aitchison, L

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.627614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.473988Z digest=sha256:0f1993ce9b9651bf1c5da3e23a500ebf1916b6a9fea089cd44005d5d9a7957a0

Observation 2de76ff7-d6fe-4818-b636-e5f352779628 · outbound

This paper cites J., Blackshaw, J., Corbett, S., de Veij, M., Ioannidis, H., Lopez, D.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network J., Blackshaw, J., Corbett, S., de Veij, M., Ioannidis, H., Lopez, D

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:38:10.614019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T23:38:10.478349Z digest=sha256:cd251edaf2f5ea56cd35a09c747f1b456086fdb968b8777c1e7b188136199dbf

Pith citing papers

Observation 0b41d0e8-919f-4df3-b5ac-b6e040d58e18 · inbound

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling cites this paper.

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling BARNN: A Bayesian Autoregressive and Recurrent Neural Network

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:38:30.513769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:38:27.499485Z digest=sha256:d34f45a2270e1989e425bccd5d8aa528b78ddf04aef222ac5b57aecac263873e