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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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:d23e41e68bf68c87304df7c6c40e9e1c19cc1665ee9111730a08662cb5af97b2

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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source=arxiv_source observed=2026-08-04T00:52:47.163879Z digest=sha256:0213837c48655b372aaf1c7dfc0a76040c6a41e410fa1c6fa6a13d8dfd24fdbd

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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source=arxiv_source observed=2026-08-04T00:52:48.146733Z digest=sha256:f7ad3081bc6d901178b128bf399d7c3cb62d53b73d2370c0a1d8870ce8871176

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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Observation b136915a-cfab-484b-b33f-0a3ae5544dee · 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 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

This paper cites Learning nonlinear operators via.

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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source=arxiv_source observed=2026-08-04T00:52:50.701543Z digest=sha256:915710c05938ebe0b1dc46b40958621f5c0d5f206cf2ca90758d65c3a0ec331d

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

This paper cites Nature , volume =.

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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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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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 =

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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 =

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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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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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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 =

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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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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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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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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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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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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:cfd773e397da9df814b0f4794c56a46988696d2f242aa8f07daf49fe56814064

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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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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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

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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 =

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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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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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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 =

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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=sha256:36bac8dea845e3d386538ede5f681fd6fbf8d2fefa4fd54d745e4eb9a4dfd4fe

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=sha256:061d6817fb4afb5384e82cafedf3d1713c6d3cc09787b9171be30da39e41bc6c

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 =

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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 =

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Observation dc2d1cc7-ec22-4581-9f9f-df3c48db738c · 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 92122eff-71a6-495b-afed-f4f5029e5682 · outbound

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

Reference 63

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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 =

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

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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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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 =

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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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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

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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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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 =

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source=arxiv_source observed=2026-08-04T00:52:53.842404Z digest=sha256:3b96ba083834312d8fa335804f647da6b60187b2a33d425bc52be6ddd308590c

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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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=sha256:794e04979c4d60f8426f20bd74ae3fa55d9ee1ee8d23dc50002c58ebc886f15c

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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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

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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:c5d52142d4e917b2287e3956d95f19edd400d756fa7f625c251b12b33b463804

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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no resolver link, observed 2026-08-04T00:52:55.062493Z

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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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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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:55.651024Z digest=sha256:5bca0905db7f6b9ced66d7c1fac733c3dc5bdfb319f6d8e03bb3eed73b33d7e9

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:ab1b070458a3eb3a14f17af8c7a5de217025bed0e875e3f64449e52abf3854fd

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

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source=arxiv_source observed=2026-08-04T00:52:55.925204Z digest=sha256:829b489f5ae48b913d44fb66a3046e261fcf11205636e094b63299f53a056de5

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=sha256:7c3f8311e589af647df63d617a472a8c0f9650532e9333ddc57c991893801963

Pith citing papers

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