Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T09:28:34.123592Z
Paper Citation Record · LEDGER
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization
As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.29004.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
30 of 30 outbound references displayed
- verified exact2
- verified fuzzy28
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 498d50fe-dd4b-478e-b140-7cc21ab201ec · outbound
This paper cites A naturalistic open source movie for optical flow evaluation.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization A naturalistic open source movie for optical flow evaluation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.964337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1c3cc5a5-68ed-4f8d-9939-06a67ad99421 · outbound
This paper cites Flownet: Learning optical flow with convolutional networks.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Flownet: Learning optical flow with convolutional networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.968009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1c0d8a14-cb2f-4b9c-9a17-f1accedfb524 · outbound
This paper cites Vision meets robotics: The kitti dataset.The Inter- national Journal of Robotics Research, 32(11):1231–1237.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Vision meets robotics: The kitti dataset.The Inter- national Journal of Robotics Research, 32(11):1231–1237
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.966247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efaade0a-cd88-4ca4-a1e6-2d2c4ee27540 · outbound
This paper cites On the power of cur- riculum learning in training deep networks.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization On the power of cur- riculum learning in training deep networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.971690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 66a4a823-f434-40b6-a799-47a76dbe1cf3 · outbound
This paper cites RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:34:34.724498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6784272d-1768-41bc-b3c1-0e0633792d41 · outbound
This paper cites Flowformer: A transformer architecture for optical flow.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Flowformer: A transformer architecture for optical flow
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.973371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 643a89f6-a8e1-484f-b1b2-8bdc88f5265b · outbound
This paper cites Flownet 2.0: Evolu- tion of optical flow estimation with deep networks.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Flownet 2.0: Evolu- tion of optical flow estimation with deep networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.976747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e44736a1-a12c-4a16-9433-6f4992e0470b · outbound
This paper cites Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.975092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e0cb0a09-6800-4404-aabe-e352722016f3 · outbound
This paper cites Imposing consistency for optical flow estimation.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Imposing consistency for optical flow estimation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.951539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9cfcb2ef-4cdc-4d05-9d8a-cd07fe593357 · outbound
This paper cites Distractflow: Improving optical flow estimation via real- istic distractions and pseudo-labeling.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Distractflow: Improving optical flow estimation via real- istic distractions and pseudo-labeling
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.980139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c40c9d2e-826e-428b-b09e-1ed3aefaaf54 · outbound
This paper cites Ocai: Improving optical flow estimation by occlusion and consistency aware interpolation.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Ocai: Improving optical flow estimation by occlusion and consistency aware interpolation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.958882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0be63fe8-1f3f-4c4c-8fcb-4245b0a433d6 · outbound
This paper cites The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.978471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e3fbb15-1f52-4ab8-aac2-15528b9823bd · outbound
This paper cites Sciflow: Empowering lightweight optical flow models with self-cleaning iterations.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Sciflow: Empowering lightweight optical flow models with self-cleaning iterations
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.981883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d5a66c1e-da9a-4ee1-a85c-8a2c1289c12b · outbound
This paper cites Adfactory: An effective framework for generalizing opti- cal flow with nerf.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Adfactory: An effective framework for generalizing opti- cal flow with nerf
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.960812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af8b8c41-1c32-4628-a25f-a2245664ee3a · outbound
This paper cites Dvc: An end-to-end deep video com- pression framework.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Dvc: An end-to-end deep video com- pression framework
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.949759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a08ba972-f26b-4784-b36d-c140a8aac0f0 · outbound
This paper cites Flowdiffuser: Advancing optical flow estimation with diffusion models.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Flowdiffuser: Advancing optical flow estimation with diffusion models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.953641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 847214c0-d476-4370-9902-071349607ded · outbound
This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.957222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4644b7e-9251-4bfe-b25d-e406ad7c7468 · outbound
This paper cites Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.969875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4f20ee8f-0f31-4ef2-a060-f45359360562 · outbound
This paper cites Object scene flow for autonomous vehicles.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Object scene flow for autonomous vehicles
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.979231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a505ef01-8f58-440a-8d26-790f03ababdf · outbound
This paper cites Joint 3d estimation of vehicles and scene flow.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Joint 3d estimation of vehicles and scene flow
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.945827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63fa6676-a7f0-4dce-ab3c-476660eab4c4 · outbound
This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization The 2017 DAVIS Challenge on Video Object Segmentation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T09:34:34.727501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 526a2bd2-0326-41de-8ffb-30343d8b7922 · outbound
This paper cites Optical flow estima- tion using a spatial pyramid network.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Optical flow estima- tion using a spatial pyramid network
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.962663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9cdb8420-6775-42b0-ae3b-53bf0e972956 · outbound
This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36:39443–39469, 2023.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.Advances in Neural Information Processing Systems, 36:39443–39469, 2023
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.941465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0d66d8a8-ba7f-4304-8821-dbc076d64ef0 · outbound
This paper cites Cur- riculum learning: A survey.International Journal of Com- puter Vision, 2022.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Cur- riculum learning: A survey.International Journal of Com- puter Vision, 2022
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.936908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d1e0049-eda6-4d10-950a-45b476255277 · outbound
This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.939085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 764acbc5-84e1-4ef5-ab93-a92c5f06a829 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Raft: Recurrent all-pairs field transforms for optical flow
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.947863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e3dad5c-da13-4225-8b4f-e8834fa675df · outbound
This paper cites Web stereo video supervision for depth prediction from dynamic scenes.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Web stereo video supervision for depth prediction from dynamic scenes
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.955413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39a2c9ad-771c-4600-af62-d1dd4fe6aed3 · outbound
This paper cites Tartanair: A dataset to push the limits of visual slam.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Tartanair: A dataset to push the limits of visual slam
Reference 28
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- raw_fallback, observed 2026-07-09T19:26:28.932948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dbf481fd-b902-4cb4-a8a0-25d72890814f · outbound
This paper cites Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures
Reference 29
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- raw_fallback, observed 2026-07-09T19:26:28.934674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 84902485-7d05-4b5c-b2a3-b02661919e13 · outbound
This paper cites Dauphin, and David Lopez-Paz.
SciFlow: Semantic Cross Interference for Self-Supervised Optical Flow Domain Generalization Dauphin, and David Lopez-Paz
Reference 30
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- verified fuzzy
- raw_fallback, observed 2026-07-09T19:26:28.930601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.