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Paper Citation Record · LEDGER

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors

As of 12 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2608.00675.

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

pith.paper-citation-record.v1
2608.00675 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:52:56.096514Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

86 of 86 outbound references displayed

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  • unresolved86
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 5cbd2b0b-7d19-4635-adc6-2b1462f6add9 · outbound

This paper cites JAIR , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors JAIR , volume =

Reference 1

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source=arxiv_source observed=2026-08-04T00:52:47.061091Z digest=sha256:d84b94bc55946ba6aa88392a4f746bac098557f8d040de4ecdff7dad2d5e65d1

Observation 719fcbbc-7689-4f0e-9903-3eb4131592e9 · outbound

This paper cites JMLR , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors JMLR , volume =

Reference 2

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Observation ae367be8-acd5-445c-bc65-42c14dfca55a · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages =

Reference 3

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Observation 42b60ff9-144d-45e6-80c5-1dc215aab2dd · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning (ICML) , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the 38th International Conference on Machine Learning (ICML) , volume =

Reference 4

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Observation 97fac76a-b419-45d4-9cf9-34cbbc4ad486 · outbound

This paper cites Efficient Diffusion Training via Min-.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Efficient Diffusion Training via Min-

Reference 5

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Observation c6acb2ba-9b00-4ce2-9364-d5ed339a1464 · outbound

This paper cites 9th International Conference on Learning Representations (ICLR) , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors 9th International Conference on Learning Representations (ICLR) , year =

Reference 6

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Observation 1de117ca-c3f2-4e9a-b07b-d284a609f8df · outbound

This paper cites Neural Networks , pages =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Neural Networks , pages =

Reference 7

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Observation dc59101e-7102-4ea4-91a2-08cc76fb491a · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 8

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Observation 00d46e6b-0c24-4ed4-afe2-8c22e833c387 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 9

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Observation 3341309f-027e-43fd-8525-afe0a70dbee3 · outbound

This paper cites 2nd International Conference on Learning Representations (ICLR) , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors 2nd International Conference on Learning Representations (ICLR) , year =

Reference 10

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Observation a6467fcf-8359-4438-9d6d-32726de1cd55 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems (NeurIPS) , volume =

Reference 11

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Observation a4dc39b7-32fe-443e-a97d-d5ac269a2c05 · outbound

This paper cites GitHub repository , howpublished =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors GitHub repository , howpublished =

Reference 12

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Observation 2030ac88-b56b-4470-8b31-b628d8999d5c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 13

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Observation 5871bcd4-8055-44ca-b8db-6d3dd20e71e7 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 14

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Observation 99aed5af-acaa-4ed1-a751-55242e9bc4e4 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in neural information processing systems , volume=

Reference 15

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Observation 4e89af13-e9ed-46b2-a798-c053f8ee166f · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 16

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Observation 42302826-83cd-4c88-83ed-363b6b9bbcec · outbound

This paper cites Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

Reference 17

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Observation b7db1066-d601-444a-b43e-8d22acbc6fd9 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 18

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Observation 7bc018f5-ffd9-4ed8-93e8-36e0a8a64333 · outbound

This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 19

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Observation 93a17ba3-aafe-477c-bfa3-92688b6e2c08 · outbound

This paper cites Stochastic Processes and their Applications , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Stochastic Processes and their Applications , volume =

Reference 20

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Observation 1886d578-b1cf-44ec-a694-8c025007affe · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Machine Learning , year =

Reference 21

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This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 22

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Observation ddc460ca-cad2-4a1d-b43f-2f7a980ffd22 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 23

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Observation 5dc709de-4332-4102-9091-631fab9ab76b · outbound

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Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

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Observation 36e961c3-cfd5-4102-8580-4e93370597be · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Machine Learning , year =

Reference 25

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Observation bcdfdf30-8dbb-403e-b449-beeb5419a3f9 · outbound

This paper cites Message Passing Neural.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Message Passing Neural

Reference 26

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Observation c05a884d-8ad8-4de5-a4d8-9a36fec0c224 · outbound

This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 27

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Observation b198eac3-ea01-4077-89e0-50b4ca045d64 · outbound

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Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Learning nonlinear operators via

Reference 28

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Observation 563a6619-893a-40e7-ac0d-66db60fa75c0 · outbound

This paper cites Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative

Reference 29

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Observation af91ad6b-5490-4d46-8f60-6f7781842088 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the National Academy of Sciences , volume =

Reference 30

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Observation 23b585f5-609c-43b5-8b28-226bb9418be2 · outbound

This paper cites Journal of Computational Physics , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Journal of Computational Physics , volume =

Reference 31

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Observation d8e0b976-3dd3-4a2f-ac0c-0a1ef466688a · outbound

This paper cites Nature Reviews Physics , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Nature Reviews Physics , volume =

Reference 32

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Observation a66e8472-cd56-4c94-bd44-c699d6071518 · outbound

This paper cites Science , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Science , volume =

Reference 33

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Observation 8e5aa3f2-ce7d-400d-99f3-95827cc881cd · outbound

This paper cites and Perdikaris, Paris and Turner, Richard E.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors and Perdikaris, Paris and Turner, Richard E

Reference 34

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Observation bfe02fb3-e6ab-416e-8960-e084a0f761f0 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 35

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Observation b3923772-1b2d-409b-ae3d-5156284c83d8 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 36

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Observation 570bad54-22bf-4032-8974-8b2f0f390d8b · outbound

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Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Nature , volume =

Reference 37

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Observation 0be5f2b8-3a30-4c41-a4d4-41f62aa121f6 · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 38

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source=arxiv_source observed=2026-08-04T00:52:50.840977Z digest=sha256:35203af95278e79293a47c7c97193e7868e2ba63f444a6b8145a8ca1e398d802

Observation 3bea1f43-46ca-4cbd-a4a0-3eb6b97de925 · outbound

This paper cites Advances in Neural Information Processing Systems, Datasets and Benchmarks Track , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems, Datasets and Benchmarks Track , volume =

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source=arxiv_source observed=2026-08-04T00:52:50.916075Z digest=sha256:cc0395b3d92975a6b3a2b0c6b3e8584437f3f1b73fb57df2291036e9b19eb361

Observation f1189d23-1ca5-4fa4-9e6b-df2ae81dd79a · outbound

This paper cites Advances in Neural Information Processing Systems, Datasets and Benchmarks Track , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems, Datasets and Benchmarks Track , volume =

Reference 40

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source=arxiv_source observed=2026-08-04T00:52:51.001524Z digest=sha256:1e538cf6386c0e6e39f23d92de5ee5e8ed3729629b492ba09b44d0a5830a3606

Observation e5a11f13-750b-40d0-aa77-56600a9153a6 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 41

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source=arxiv_source observed=2026-08-04T00:52:51.093509Z digest=sha256:66127befac163d2db9020a11714d4d4388f25943a6b13030e2671d152bfe4dcf

Observation 9a4c39ed-0dbc-42a6-8519-9bde25e5ee22 · outbound

This paper cites Dropout as a.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Dropout as a

Reference 42

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source=arxiv_source observed=2026-08-04T00:52:51.236828Z digest=sha256:11c7664173b6f560569573a5c7aaf95b6309c704f9622d817cccf193e56017da

Observation e3fcacf8-05f8-46f9-a821-b03ef149a5bf · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Foundations and Trends in Machine Learning , volume =

Reference 43

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source=arxiv_source observed=2026-08-04T00:52:51.374073Z digest=sha256:fdb5a52b0e8b78665a71cb215921cedb1ba8901ee19ebff35ad3f1cf55522365

Observation 57ff30d2-6ebd-4587-9bb0-1b89e6390ab5 · outbound

This paper cites and Nowozin, Sebastian and Dillon, Joshua and Lakshminarayanan, Balaji and Snoek, Jasper , booktitle =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors and Nowozin, Sebastian and Dillon, Joshua and Lakshminarayanan, Balaji and Snoek, Jasper , booktitle =

Reference 44

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source=arxiv_source observed=2026-08-04T00:52:51.520510Z digest=sha256:24063f5ab9e2007fd0c1ad74824b4e622919eb54f08916a5c56572bf59d9a45c

Observation c6685f78-8908-4968-b32d-147e13e21034 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 45

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source=arxiv_source observed=2026-08-04T00:52:51.637056Z digest=sha256:69cd03e4ad2b5b806257b24f361cc77c8f4247d5fb2dcd4c68a72200bf63ac0f

Observation a01cdfcc-1534-48d9-9ac1-8d568b2c6862 · outbound

This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 46

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source=arxiv_source observed=2026-08-04T00:52:51.753329Z digest=sha256:e992ecf0b0aff285c2579f8f9696dc158e7a80b47a39b1709306e85228efd836

Observation 90c53561-77f0-4573-ad11-fed944af6ad4 · outbound

This paper cites Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Reference 47

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source=arxiv_source observed=2026-08-04T00:52:51.873454Z digest=sha256:d44eea40a451a17a584163967847da220e245785603244d5d53fca7dd664ec00

Observation 4688337b-ccda-4794-a749-ab0ed83319fb · outbound

This paper cites Time-Reversal Symmetric.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Time-Reversal Symmetric

Reference 48

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source=arxiv_source observed=2026-08-04T00:52:52.022291Z digest=sha256:65e943f45e4892b0c07cb807357b37cf62507490408dab7f0d16c4a98f5e6f2e

Observation 9c1ce67d-1ba3-487a-89de-7c12e88ec08d · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Machine Learning , year =

Reference 49

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source=arxiv_source observed=2026-08-04T00:52:52.164168Z digest=sha256:9d684a1416201e3cd40e96b81d32fc41a4b7ff03dfddff27fe7c908a197a6d49

Observation 286760bb-6ee1-43c4-885f-bab4b1b0f6a2 · outbound

This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 50

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source=arxiv_source observed=2026-08-04T00:52:52.275351Z digest=sha256:51a949f00144f2ec5125ee93e718ce1a996bf41153660f3d4d2f0580c5b49024

Observation 8e5eac5e-d726-463f-829d-39edcb4cfcd9 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 51

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source=arxiv_source observed=2026-08-04T00:52:52.392272Z digest=sha256:dea7f3ef123e160be3683f1d9641bb5c71f63a18c4b52958a68d0f0fb595d421

Observation fab2d693-0ff4-4175-9283-c668452b42a0 · outbound

This paper cites International Journal of Computer Vision , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Journal of Computer Vision , year =

Reference 52

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source=arxiv_source observed=2026-08-04T00:52:52.501541Z digest=sha256:b1be9c550ed8fcb3de5b6935fae6faad257ae1f396177e755e84c484e0476305

Observation acb2c779-061c-46d3-89cb-0e82ff1f610a · outbound

This paper cites Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series

Reference 53

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source=arxiv_source observed=2026-08-04T00:52:52.621147Z digest=sha256:43aa6f0fe9f3b448279050b4eeebaedc780eaecf64054c2fa48726c9bd49592c

Observation f8ade5a1-3f0d-4e79-b162-8665d225afac · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision , pages =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE International Conference on Computer Vision , pages =

Reference 54

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source=arxiv_source observed=2026-08-04T00:52:52.737816Z digest=sha256:05ac20b871563803396fdb001e27c48b4d4e486b3b25c9fc2970dcf20edf44ba

Observation 3badec48-b550-4c93-ad7b-45ed60d65848 · outbound

This paper cites Dense Point Trajectories by.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Dense Point Trajectories by

Reference 55

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source=arxiv_source observed=2026-08-04T00:52:52.857761Z digest=sha256:6f2aec12755afd18be9b038bb76c7a7257244ddc0733f7b8243cec9d8a472fa1

Observation 08dc24aa-4c93-4f72-9671-6b9b85b3c65e · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-08-04T00:52:52.959081Z digest=sha256:cc9d8104db1c9032330ddd81989496565ed18080943b5d7c0487ad0e3745f114

Observation 54df7783-d0b4-4cac-a31a-13ea03d99024 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

Reference 57

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source=arxiv_source observed=2026-08-04T00:52:53.017890Z digest=sha256:2dfdc4bf040fa0691190e67d2828a5d8e0ab7f791909bda9368bf95fd14a49a5

Observation d0006969-bf49-4596-9eb8-3e1a8ce83040 · outbound

This paper cites Automatica , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Automatica , volume =

Reference 58

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source=arxiv_source observed=2026-08-04T00:52:53.071981Z digest=sha256:b2efd5ec804e1b04dbd843f5f5c9aa11eaf84bc345092566ebf8eb9996ddad8b

Observation a528f320-3108-4a6a-8934-4f06a1324e3b · outbound

This paper cites Automatica , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Automatica , volume =

Reference 59

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source=arxiv_source observed=2026-08-04T00:52:53.126708Z digest=sha256:4c78a1e6b7d8b416dfa46d29f23b709e3a77dde3387f0b1c1fe82334a1b05915

Observation c09c2aee-2543-4bff-a479-25893d205a76 · outbound

This paper cites Proceedings of the 2013 International Particle Accelerator Conference (IPAC), Shanghai, China , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Proceedings of the 2013 International Particle Accelerator Conference (IPAC), Shanghai, China , year =

Reference 60

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source=arxiv_source observed=2026-08-04T00:52:53.180333Z digest=sha256:6dd7aeb7c602e579aa9b81090405a3694d3e5d5d48e2f68cb3f6ab78350e7a49

Observation 655116dc-f5d8-4573-a7ba-1981ae3fbc7d · outbound

This paper cites Automatica , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Automatica , volume =

Reference 61

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source=arxiv_source observed=2026-08-04T00:52:53.234897Z digest=sha256:5a4afd98fa78781fdff750df39cac1b9a9e4163695cc129046876d46443ed92d

Observation dc2d1cc7-ec22-4581-9f9f-df3c48db738c · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-04T00:52:53.291318Z digest=sha256:2a9e02ff40392c16600c1fd931c076131af23acc90d2d5e1829dfce27502b1b2

Observation 92122eff-71a6-495b-afed-f4f5029e5682 · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-04T00:52:53.341884Z digest=sha256:8fa7ca8f021ab55c53a437c4b2ebea01d2616c733a83f20be1d6b47eb9a1fa63

Observation 916ba1f4-cd1a-4d2d-a8c4-9e48cad12c29 · outbound

This paper cites Physical Review Accelerators and Beams , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Physical Review Accelerators and Beams , volume =

Reference 64

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source=arxiv_source observed=2026-08-04T00:52:53.393362Z digest=sha256:96953bcc6e25d8f8b4c759c0d925b7dcd26ed058c933e839255271495fbe1e5c

Observation 25121d5c-e70b-4613-80b2-99d6938725f7 · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-04T00:52:53.448843Z digest=sha256:7bdafadb66ae2c88f66bef4910af1fbfa5cbd035d9e8e627e07e8ff86a49a5c2

Observation 926925b8-91bd-4a8b-86b2-2fe1bc5482eb · outbound

This paper cites Bidirectional Autoregressive Latent Diffusion for Forward and Inverse Magnetohydrodynamics.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Bidirectional Autoregressive Latent Diffusion for Forward and Inverse Magnetohydrodynamics

Reference 66

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source=arxiv_source observed=2026-08-04T00:52:53.501345Z digest=sha256:59fabca7fd6828d8202811119bb7a514a4c34bb3efe284f6045be8ece8164664

Observation 9c70e7f2-7f19-4f57-94fc-55a425161de1 · outbound

This paper cites Physics-constrained.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Physics-constrained

Reference 67

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source=arxiv_source observed=2026-08-04T00:52:53.555670Z digest=sha256:e8f7211d04bfa856e0343732ec3996ba2acf518b0646e0574df5114290d097d0

Observation 44174df8-d708-4272-b93d-2d743031af70 · outbound

This paper cites Nature , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Nature , volume =

Reference 68

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source=arxiv_source observed=2026-08-04T00:52:53.612982Z digest=sha256:5b94ca9ecf8bfe2d0f5e09214833de563c82b7fd3341febaef4feaa48ff5d575

Observation 25cb5283-0503-4e86-aa29-a0f83c06214f · outbound

This paper cites Journal of Fluid Mechanics , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Journal of Fluid Mechanics , volume =

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source=arxiv_source observed=2026-08-04T00:52:53.666790Z digest=sha256:5b71f049f9f9ce553941474376116adc210fb259ecda87f2c2230bb21178e1ac

Observation 4d6b0e3d-c783-4a9d-b758-fb373890a6cb · outbound

This paper cites A constrained transport scheme for.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors A constrained transport scheme for

Reference 70

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source=arxiv_source observed=2026-08-04T00:52:53.723958Z digest=sha256:8e64545540dd20a596550521da8f4be64b6cc8e9f3c38a3c17b57ae31eb764e6

Observation 72fac64a-bbb7-43c8-b752-d16203d5cc17 · outbound

This paper cites Intelligent Computing , volume =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Intelligent Computing , volume =

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source=arxiv_source observed=2026-08-04T00:52:53.751747Z digest=sha256:6ee841ce382a8351788c01e1c75f173f58c6ff2410c9e5f9cca7d8e5b60b1e1b

Observation 3de1baf9-e7fa-44d5-920c-90ec04c2039b · outbound

This paper cites 2026 , note =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors 2026 , note =

Reference 72

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source=arxiv_source observed=2026-08-04T00:52:53.842404Z digest=sha256:fc31fc7eaa416f31db9d2031079bd2d3e62a5093daa2ca919f8a3fbe26204d76

Observation e0fcbdc7-11d2-44f2-a2a3-b3f99d991916 · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-08-04T00:52:54.094845Z digest=sha256:69a94d24189969f5425d1e374f83692565d93b37133d62fd046de5003a581977

Observation 193124dd-ea48-41be-b0db-62bdfc6afc9b · outbound

This paper cites On Conditional Diffusion Models for.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors On Conditional Diffusion Models for

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source=arxiv_source observed=2026-08-04T00:52:54.185216Z digest=sha256:bb5b2f2b9f1d9343290f39856db94269f19d846f57f8c15da821ba7083210b29

Observation 8449a648-0257-44ca-9b90-8cdd038b20c0 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

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source=arxiv_source observed=2026-08-04T00:52:54.405214Z digest=sha256:b209ef15b985194e91a286c196c1e3b220be0c0903acfcc89805bb27d0af1b4d

Observation bc89f130-ddf2-4312-9316-2faa474332e9 · outbound

This paper cites Generative Latent Neural.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Generative Latent Neural

Reference 76

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source=arxiv_source observed=2026-08-04T00:52:54.606016Z digest=sha256:a940757b0a2aee09861adda295a96077c5dbe1b2cda89501939453f24e7eff05

Observation ac0734dd-63d1-4cfb-948a-42998e392381 · outbound

This paper cites Machine Learning for Autonomous Driving Workshop, NeurIPS , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Machine Learning for Autonomous Driving Workshop, NeurIPS , year =

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source=arxiv_source observed=2026-08-04T00:52:54.765366Z digest=sha256:c36578078d45cac65ddcad3d9d4554c702865771d9dc132478a204c1d024d629

Observation 2ae3489f-3986-4d01-92d1-5a70c72671a9 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 78

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no resolver link, observed 2026-08-04T00:52:54.911465Z

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Observation ed98b8e6-b357-4d58-88af-47d5e0fafd42 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Machine Learning , year =

Reference 79

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Observation a6c47fec-f2a9-4158-9d0f-1606aa7ecb66 · outbound

This paper cites International Conference on Learning Representations , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Learning Representations , year =

Reference 80

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no resolver link, observed 2026-08-04T00:52:55.192813Z

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Observation 5c8f02ac-a9fe-495e-932b-ec13a3eeaed3 · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Advances in Neural Information Processing Systems , volume =

Reference 81

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no resolver link, observed 2026-08-04T00:52:55.381105Z

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Observation 06acffe8-956d-4037-bf49-2098a914f1de · outbound

This paper cites Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 82

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no resolver link, observed 2026-08-04T00:52:55.543953Z

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Observation ca7e6218-e31f-4376-a193-d40e8bb95ab8 · outbound

This paper cites an unresolved cited work.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Unresolved cited work

Reference 83

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no resolver link, observed 2026-08-04T00:52:55.651024Z

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source=arxiv_source observed=2026-08-04T00:52:55.651024Z digest=sha256:270bae5bbf0b44bfd01f688441261b1751936d97cd2c199525fbccc722a80a7b

Observation bb31facb-bd84-435a-b0d8-7cfe690a3ca0 · outbound

This paper cites Time-Reversal Provides Unsupervised Feedback to.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Time-Reversal Provides Unsupervised Feedback to

Reference 84

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no resolver link, observed 2026-08-04T00:52:55.782238Z

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source=arxiv_source observed=2026-08-04T00:52:55.782238Z digest=sha256:065489f5eaaaf8aabf7078710a3f0cf7d80549c7bb22d6e78f7e106fb21a0bbf

Observation 3f5c110e-a861-42c7-b85f-12845aea3970 · outbound

This paper cites IEEE International Conference on Neural Networks , year =.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors IEEE International Conference on Neural Networks , year =

Reference 85

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no resolver link, observed 2026-08-04T00:52:55.925204Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:55.925204Z digest=sha256:7177b9ba9d85ef7f11af3ef4974d939a212cf831116a2377f0f3473f5301587a

Observation f8fb7364-6aa4-4cec-a130-38ec692655dc · outbound

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

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors International Conference on Machine Learning , year =

Reference 86

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no resolver link, observed 2026-08-04T00:52:56.096514Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:56.096514Z digest=sha256:47f42387d35a6a5b57de317ba0a96d32baf44f36ef03353bac9168ce8c657e72

Pith citing papers

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