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Paper Citation Record · LEDGER

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.23151.

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

pith.paper-citation-record.v1
2506.23151 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:55:06.821861Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T18:01:47.434552Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ebc1d3b-8aee-4d1e-b2b8-61f82becd4a6 · outbound

This paper cites Patchmatch: A randomized correspon- dence algorithm for structural image editing.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Patchmatch: A randomized correspon- dence algorithm for structural image editing

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:02.039784Z digest=sha256:31737c9fbb47c738aebdb5c04ed9000eb7e838806edff1d1ff747ed8db64e674

Observation f173ac64-9338-4c2e-b5ea-b0539e516d8d · outbound

This paper cites A naturalistic open source movie for op- tical flow evaluation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation A naturalistic open source movie for op- tical flow evaluation

Reference 2

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raw_fallback, observed 2026-08-06T21:55:14.401912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:02.136010Z digest=sha256:501c0e09b502890790f729b09acc431c487a9e2425bcd2203ae3510bdd1660de

Observation a82ea4a6-9920-430d-8de9-e6baf7688f09 · outbound

This paper cites Basicvsr: The search for essential compo- nents in video super-resolution and beyond.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Basicvsr: The search for essential compo- nents in video super-resolution and beyond

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:14.195278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:02.328867Z digest=sha256:5f46b3d38618e8825083dd07791e2d7b8c17ccc32b40a2e1b613ec6a3f815771

Observation 85339030-237c-4d03-aa72-7ebe2d0f6973 · outbound

This paper cites Memflow: Optical flow esti- mation and prediction with memory.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Memflow: Optical flow esti- mation and prediction with memory

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:13.980493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:02.477584Z digest=sha256:1519d18abb9c5aa35edb29b92d09e4ba824c93091fa16166d9c5baebb8b990a9

Observation 300e618c-6662-4a58-9e0c-567c255cc960 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Flownet: Learning optical flow with convolutional networks

Reference 5

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raw_fallback, observed 2026-08-06T21:55:13.748630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:02.602897Z digest=sha256:d2799827d1dd1506b28e4ed8e5e863a92af223c35772db9c8858fe1e58e18dc9

Observation 4b187e18-3abd-4610-b2a0-a2e7be6de39c · outbound

This paper cites Two-frame motion estimation based on polynomial expansion.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Two-frame motion estimation based on polynomial expansion

Reference 6

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no resolver link, observed 2026-08-06T21:55:02.766456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:02.766456Z digest=sha256:7187c4d0f02063fb9242933966884a249987f725f65f3e42e3210f4ba0945679

Observation 53435d7c-fbb9-435a-8b51-94c6b9274d54 · outbound

This paper cites Vision meets robotics: The kitti dataset.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Vision meets robotics: The kitti dataset

Reference 7

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no resolver link, observed 2026-08-06T21:55:02.882925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:02.882925Z digest=sha256:413fd1c56c8cfd300ebf7d9cfc6908444243a1d6d17321a8c302a8304784b27f

Observation f45e53dd-2cfe-4fd4-8471-59181f245d76 · outbound

This paper cites Deep residual learning for image recognition.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Deep residual learning for image recognition

Reference 8

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no resolver link, observed 2026-08-06T21:55:03.022825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:03.022825Z digest=sha256:f89e75dac97caec3167d8a7bb1eece0099b5bc6b95a96a0bbc0f81e5a961f37b

Observation db415172-0de1-40d6-a5e4-d05a848dd47c · outbound

This paper cites Determining op- tical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Determining op- tical flow

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:13.604016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.145673Z digest=sha256:19980682469e0bf8aaf0862fcac3b44ea6f74966ac3bd1bbc91707d85b028776

Observation ec74ee9b-c066-4a41-81d0-6503dbeba398 · outbound

This paper cites Flowformer: A transformer architecture for optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Flowformer: A transformer architecture for optical flow

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:13.416613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.255123Z digest=sha256:6fe2948a2f23764832ca630e08c15114dc978eb61f90220efcf08e64626de11d

Observation 82790219-dc64-425b-bd97-c98eb8c982ac · outbound

This paper cites Real-time intermediate flow estima- tion for video frame interpolation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Real-time intermediate flow estima- tion for video frame interpolation

Reference 11

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raw_fallback, observed 2026-08-06T21:55:13.223117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.346073Z digest=sha256:f0bb40fafc659fe274c823ae954176f1700dba6a6aae18f29fc3e07f2d9ba871

Observation d3584d88-cd0e-4f07-b292-b0a03d2428a3 · outbound

This paper cites Flownet 2.0: Evolu- tion of optical flow estimation with deep networks.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Flownet 2.0: Evolu- tion of optical flow estimation with deep networks

Reference 12

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raw_fallback, observed 2026-08-06T21:55:12.956857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.470166Z digest=sha256:6e6d465e020d4ff213d025cee521709cff7bcba5747b8ebda01ea45ea6a58e20

Observation 439bfa08-e161-420c-8ea9-88b0b98ca562 · outbound

This paper cites Learning to estimate hidden motions with global motion aggregation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Learning to estimate hidden motions with global motion aggregation

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:12.718916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.633584Z digest=sha256:238850d8e109b82856eac0f869c72423476b4f51e145c10e0eb27d7bf4a42792

Observation 7a6b444e-50a7-4538-b6bf-6bbe5532d58d · outbound

This paper cites Learning optical flow from a few matches.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Learning optical flow from a few matches

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:12.475822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.793573Z digest=sha256:2d1c76c75e06000f31801a8f88453bad011ec3561a500199b81dc9605528a5f2

Observation 78f8e515-fd5d-4ce2-b137-9fcd36d6ce7c · outbound

This paper cites Face deblurring using dual camera fusion on mobile phones.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Face deblurring using dual camera fusion on mobile phones

Reference 15

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raw_fallback, observed 2026-08-06T21:55:12.220212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:03.921057Z digest=sha256:8ab7bdb9824ee572b83873b7937854ab60b7174073a66fde394fab32a5111a81

Observation ab1d0659-3b49-4e7c-86d4-c7e6ccbd8de6 · outbound

This paper cites Video frame inter- polation via optical flow estimation with image inpainting.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Video frame inter- polation via optical flow estimation with image inpainting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:04.118643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:04.118643Z digest=sha256:02dc0266f9a0f4d0a5dc517d414c6bef97c08b758d1ca44e059610fe44a39871

Observation ba4cdd3e-ef95-4627-b010-77d3ab69dc96 · outbound

This paper cites An iterative image reg- istration technique with an application to stereo vision.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation An iterative image reg- istration technique with an application to stereo vision

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.957555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.281842Z digest=sha256:dada1933278f4049ad53209fb3991493fb57b4f1b1a0ea0540975863d3523ede

Observation a92a5046-7233-46ab-a2d1-c80127e65ce4 · outbound

This paper cites Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.754806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.445556Z digest=sha256:746d30aedbe01b2c420aa8fcbcb699efb7c43929ad198eea67ae55b7c2384c05

Observation f143a3ea-8152-47b0-976a-e7f8594869ab · outbound

This paper cites Object scene flow for autonomous vehicles.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Object scene flow for autonomous vehicles

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.627373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.518816Z digest=sha256:57100883534e316dccab8fbde4a807500aa26884c592e7efa661dd00d63e3629

Observation 42cd33db-4849-476b-8ee0-98c897820046 · outbound

This paper cites Recurrent partial kernel network for efficient optical flow estimation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Recurrent partial kernel network for efficient optical flow estimation

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.481709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.621928Z digest=sha256:37957fe07c950a058596e37c4df5ef705b6e83ea08815f89b8ea35b9f4bb1e90

Observation 44494cb7-dda4-41db-9ef0-2277590d8904 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation A benchmark dataset and evaluation methodology for video object segmentation

Reference 21

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raw_fallback, observed 2026-08-06T21:55:11.324625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.696241Z digest=sha256:571477b2a54d55af0da354680469e76335d745337317d0f920d08c76e7ac008b

Observation 0a78b410-2d27-499a-b790-9de7b3890882 · outbound

This paper cites Representation flow for action recognition.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Representation flow for action recognition

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.154973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.776997Z digest=sha256:6a1cf80543f3748873d04ec7057e8a4f6f4367b58bbcd16a641a1aa17cfb3a2d

Observation 5150ad89-13cc-45db-b3a4-e1a3be5f78cf · outbound

This paper cites A fusion approach for multi- frame optical flow estimation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation A fusion approach for multi- frame optical flow estimation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:55:11.020609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.851105Z digest=sha256:6bfadfd7b9d353e1a9fa11f8dc33eb6b78d35bc20d2db8a3d9e5e5cb5adfe1ca

Observation 510bd4df-6040-41b5-858d-e82e4f8b92ee · outbound

This paper cites Playing for benchmarks.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Playing for benchmarks

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:10.861191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:04.970169Z digest=sha256:49917c74920851500554e9c55f7a5f9588ae407463c9b7edf883953930c9e813

Observation 8cdd2fff-1da8-4f71-82b1-fe039968d8b2 · outbound

This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation The surprising effectiveness of diffusion models for optical flow and monocular depth estimation

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:10.732034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.071768Z digest=sha256:7d0af73278d7f005b9222173ce95f12751f6e6c151d8eff2facb6fd72ad97d8e

Observation afaca056-16d4-4540-a196-bdf40f25c05e · outbound

This paper cites Videoflow: Exploiting temporal cues for multi-frame optical flow estimation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Videoflow: Exploiting temporal cues for multi-frame optical flow estimation

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:10.585143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.154657Z digest=sha256:e440daa7ab4f6c95bf918950a2471cba5c73437a7dab4d58a7493e07fd6c760d

Observation ab8a8432-86ed-4f52-9be0-ddbaff123f3d · outbound

This paper cites Flowformer++: Masked cost volume autoen- coding for pretraining optical flow estimation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Flowformer++: Masked cost volume autoen- coding for pretraining optical flow estimation

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:10.362498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.240445Z digest=sha256:11b3aaf30b5520fbd40486d6a9bf44e655fe25e495b0e5da128b4e78ae08f3d7

Observation 27274c8d-dc65-451c-b579-f1f93ac10e60 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume

Reference 28

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raw_fallback, observed 2026-08-06T21:55:10.145718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.304660Z digest=sha256:b1b74fa1339c3395b20e2296d0fb1c1db1a45b060ea202089d9918ed81ce3c28

Observation 83d6c470-6131-423c-bb16-19579fe96130 · outbound

This paper cites Optical flow guided feature: A fast and robust motion representation for video action recognition.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Optical flow guided feature: A fast and robust motion representation for video action recognition

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:09.973182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.376042Z digest=sha256:d2f30debdf3758656a5446066b359cadeee073b0b2c6e05f2e083e12550259cb

Observation 15fbc532-1058-479f-ba70-2230b52b9a78 · outbound

This paper cites Streamflow: streamlined multi- frame optical flow estimation for video sequences.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Streamflow: streamlined multi- frame optical flow estimation for video sequences

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:09.871122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.442581Z digest=sha256:180d3f5018c057a3fac86b1a40e279d6ca34c0daedcb48f37fc19115299a001a

Observation 33a5c8bb-dc68-4e66-baf2-31db04c70bf2 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Raft: Recurrent all-pairs field transforms for optical flow

Reference 31

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unresolved
no resolver link, observed 2026-08-06T21:55:05.502363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:05.502363Z digest=sha256:f2bdd9870873d8b5c26fb52fad070a5875de1771671bb91090f111056f382c4e

Observation a9dbb6e8-b31a-4407-8c49-888e72411d4b · outbound

This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Sea-raft: Simple, efficient, accurate raft for optical flow

Reference 32

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unresolved
no resolver link, observed 2026-08-06T21:55:05.594861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:05.594861Z digest=sha256:e5024fd12f1370e4e61a8d6829eaabfdf1906cef50262a30c4a1e2b21f3c7349

Observation 3fc65bb0-0da1-4792-a5ed-ab25212ac058 · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T21:55:09.537488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:05.818026Z digest=sha256:75bb2564986de285cb37f334d807c2924aeae02fa374cfed4d835b623040ff35

Observation a6f81615-54bd-4e49-8cc8-4d7cafffac9b · outbound

This paper cites Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume

Reference 34

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verified exact
local_arxiv, observed 2026-08-06T21:55:07.075693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ae8e2f96-9472-4f3b-8863-d4fb2dedec12 · outbound

This paper cites High-resolution optical flow from 1d attention and correlation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation High-resolution optical flow from 1d attention and correlation

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ce81df7b-58b9-44a9-bb74-33251537dfbd · outbound

This paper cites Gmflow: Learning optical flow via global matching.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Gmflow: Learning optical flow via global matching

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d97e7731-4d20-4622-8696-c0c8b84c9049 · outbound

This paper cites Quadratic video interpolation.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Quadratic video interpolation

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7503bc27-b09b-4bc4-b1c7-164991ebc198 · outbound

This paper cites Improved two-stream model for human action recognition.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Improved two-stream model for human action recognition

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9d5330f7-3402-47b3-90c2-058626c2f18f · outbound

This paper cites Hybrid cost volume for memory-efficient optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Hybrid cost volume for memory-efficient optical flow

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 38db1009-4991-4a7f-aa6d-d613d153201c · outbound

This paper cites Dip: Deep inverse patchmatch for high-resolution optical flow.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Dip: Deep inverse patchmatch for high-resolution optical flow

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c89ba91d-2e25-4228-a201-48fd69cea9ca · outbound

This paper cites an unresolved cited work.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Unresolved cited work

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 19222573-ab59-41c2-afe1-d19ba82ce77f · outbound

This paper cites an unresolved cited work.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Unresolved cited work

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d60ac51d-5aad-4175-b4fa-805f75a423df · outbound

This paper cites an unresolved cited work.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Unresolved cited work

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d959df4c-3b11-4710-9c97-e9a82f166413 · outbound

This paper cites 2, 4, 5, 6, 7.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation 2, 4, 5, 6, 7

Reference 54

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b7a66337-5551-43e9-a78c-b149dc1eb56e · outbound

This paper cites an unresolved cited work.

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:55:07.983117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:55:06.578564Z digest=sha256:6308e23526b14ac4672a14d346eece7d41fa52622cd92f8f0c647fae53ec033d

Pith citing papers

Observation b6710f12-5970-479f-a6b7-10648190ccec · inbound

MegaFlow: Zero-Shot Large Displacement Optical Flow cites this paper.

MegaFlow: Zero-Shot Large Displacement Optical Flow MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation

Reference 4

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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