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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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
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  • 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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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=sha256:77916777c04f7ea38d2a605b8f5a6a3ff8407d0240a75bc1defab8b9a1eb026e

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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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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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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source=arxiv_source observed=2026-08-04T00:52:50.768656Z digest=sha256:8784fc29bb1656672785160df11418113e0649cb066dd2c375a38d97aced1f4b

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:dce5f796625436a37057e2ab1f193304d6b601ddb025760f26e3f7ed29cdad9b

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 =

Reference 39

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source=arxiv_source observed=2026-08-04T00:52:50.916075Z digest=sha256:aa5bc120b788a4a7dde9e481e80f2ae237a7995c4ffc25f454e0c1ba588f97ae

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=sha256:3e5da135584274f4308f62452ecfedcaf2af7f19edc9e5f4a85f2ed35664055b

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:b11c026baddf3233b858aba39797c5b74750ddc95a66d44bd90cf54761eda0bf

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=sha256:6903ab995bce6b7a338504707ab601424431f79b6dc9fab3fd0a1a1b349c017c

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:b91a58504f13eb9320fd03829f3e98c3b75fec5663866157f4941e9996eb5301

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:af056c6aeee85e1b0dd1265b5808ad1362b2b4c4c24029634e4b6b12677cca96

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=sha256:2ad1fb866f6d1f1d7149d50ce3f934c460ffaf2e8cd4d05456fa2fe820965ab3

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:e86cb73c8cbda55bad4ae22d09f03f98ee8e2195aa4e1f536d42981ee9ca6fe0

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=sha256:9878c7d6574c1550f676d6d5af96eaece15e77ab64a71c0cc707b86f8538de69

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=sha256:5c9c11a1bf64b71718706a8dc1a63b665ece8a509d22f57ae27a90f9797617fc

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=sha256:793cf03b5794ea2dd4a6956aa9dbe8966dffebc24473cf577da25074401c5adc

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:c208be2c7e721c9cd948150c3282a0f9b02d68c20bb44bfdb644b37a441159af

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:e70ab509121539d3197a306effdea71b8c9688b6527b11b883e2c82d7ede65ca

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=sha256:091d7f14c02e7902d784c202c5c6ba40b6f5e9f2d6e54a4a50c0cf54be99de40

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=sha256:9cca8e506c0427a91277896c38cfebe4b77aa3528eb25e66cb25a638e4f74e10

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=sha256:3e722bc9149ef2b017011d124ed52609b52983aaf682589061eba42b01ee16d1

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:adf5e369c158e97ac8e7bb7a4b1b28c044b26d82760aca8e626bcb7fdf599293

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=sha256:3770dc27a42bedb0a99d27539ed2d38ce723fc253d169153e5f35291a1af2adb

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:fde25f762c4673b8c59a4008dfb24736307de5ebd69118bfd413809d139ac37d

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=sha256:759d5ed215b27fa3defc8245644df85494a3ed01d784792955915bfb88db8581

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:bc16a32bfc3d66f9c923ed91f38ab992530f0e56d9f48433cee116dfd7fd96a7

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=sha256:3c851a553b4884209f41d75749a6ebb9e4a766c32b668227eb154e789b39e52a

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:aa102d532ea454fe7381b083ac374cf42a891c7fedb8746cdbf4da8f855d4f70

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=sha256:080796ce8b93f87beacecee9ade4417a0e606454897cd9395a8062eeb13ec014

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:b6435ccd3e7b6a197f25db0fb192c691cfe99d5f6ac8395da71423703518e724

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=sha256:53152de009dd65c12dc493da4f72d460c4d4d3bc4e22a11e602322054eee7a0a

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=sha256:7e325d5594ce7ee981e076a1b98b663a2f83f9237a6bd701ba803b4eff807e9f

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=sha256:2bc40802dedc39e3a7f900d5d5cf9cf56dcd5f5ab8fee03d978473efa864a89a

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=sha256:72537705c05fe9bcb417e3728acc9463e1a96adffba0e373beb31987246da411

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=sha256:7ef29106c473987f77e8c7ad19e7cc5f1ae72915ad40c4b8d6d25e980df4c8d4

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 =

Reference 69

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source=arxiv_source observed=2026-08-04T00:52:53.666790Z digest=sha256:0ebfd38b6e102e2d4f42d124cac2ef81a3c00ad86dfccbe6b6f891afa27f8ee1

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=sha256:3db7f59615c5fb3e44ffffa2da51756537427f727b0af923ba112aace3d13778

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 =

Reference 71

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source=arxiv_source observed=2026-08-04T00:52:53.751747Z digest=sha256:879e33fc00fa93645d6074e3f0e71af64397f52f2683526356450601d5ccab54

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=sha256:5cf6e82085b98eb96a3faa07e7deef0ba90d2cddbf1f9ae1fefbe285d81835f0

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=sha256:1ab407743a816aa810c6d4b908a9bc532c0e7f408e2d1bffaca631eacdfeb2e8

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

Reference 74

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source=arxiv_source observed=2026-08-04T00:52:54.185216Z digest=sha256:46464ec176c91d55351e8b7039ca7f62b092dd29966b17e8b058475af557a2ca

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=sha256:34308bd83723cdf2eb219329928876154c9a3982d397af26575eb412dd811962

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:c298c0721071f80e5ae709224cbadbb321304c37b357c234afe5e869045d3b47

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 =

Reference 77

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no resolver link, observed 2026-08-04T00:52:54.765366Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:54.765366Z digest=sha256:73337d9f4f69d4e09618fddd00db5215e13dc02ffb06fcaa2bd0189fbbc19bd2

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:55.062493Z digest=sha256:80e2d7d2ee67d4e3ea2118b5d57a6b3a31f79bf69875ef42ccf6d1bf9592396b

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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source=arxiv_source observed=2026-08-04T00:52:55.192813Z digest=sha256:c6a5f4e94347127517ef43a1de6ac1b4afe6db78614d3aadb3ed9929347e7c0f

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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source=arxiv_source observed=2026-08-04T00:52:55.381105Z digest=sha256:1bbf24b64ac602533eb97b0a5d7060c964e306ebb1fc3a4e95c7180d70050db4

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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source=arxiv_source observed=2026-08-04T00:52:55.543953Z digest=sha256:a5d746d1f7111a82ada9d04b3435a0ef9484bed957360e2281ace70088f251b9

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:55.651024Z digest=sha256:d0f43c7d0f59c9a5027e13065d47ef242603e5f6cb3441f1c3436b234958e9e8

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T00:52:55.782238Z digest=sha256:ef56e97664f5f0a44f9f001b37c5d83c52c98f745921deaedad29ac2a198a306

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=sha256:7f83f5da5b2cee15dde5b2cbec4a92fb7383b8ffba3c458637e10536083fe382

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:52:56.096514Z digest=sha256:fbed550e45f62ff5f48891be1f00ed317f003956c52a9e820bd2f86fed00cd0a

Pith citing papers

No inbound Pith citation observations are available.