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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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
raw_fallback, observed 2026-08-06T21:55:14.548994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:02.136010Z digest=sha256:b4cc4ee60afadb6e5ead1e46ddb728c52b215884aadc135cdc762185bc4fafc2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:02.328867Z digest=sha256:fd8aec488426efd9efe252dd1333969870d47f5bfd7f0203791fae1150c73dcd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:02.477584Z digest=sha256:302bde7bc82e4ed25162dcd724c123766df818e81f88628e551f790dc3d7d177

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:02.602897Z digest=sha256:2f2c5be2574a4453c42d7a689ca948f52419bfaa4adf88e0c7aa08e658716dab

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:f9f0b6130d9e87cf2e1b759c796a0e321d69c5ee93b8662f858e6754b59992c9

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=sha256:4db3e2cd6b34cf8668d80526ba927bf99fe6c77f204d60fbcc4df49b1442f77f

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:fbdc6197be125a5e34ce8a31e3d6eaeca33683acf0532f62749840ca6ff4ea6e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.145673Z digest=sha256:aa09eda341311ff33127b5a35978bdb6f64f96b8077a03e7aaa8599c83f58ec4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.255123Z digest=sha256:d38cf665517d1d22b418d309fd031a237288e66e2838d14b76021965e22f1007

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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verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.346073Z digest=sha256:5a02b03184927e106441191dbf62591ef89d6b055ed7db550d7e6d9eb0caf751

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.470166Z digest=sha256:a014bee0da7f653b3bb55dafa9612cf830f4d319890430a3e3d8bd44882bbec0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.633584Z digest=sha256:20ee237b0dd0bed3de82ee9c824da274c2dd8804cc9d7df9edc73e63dd90da11

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.793573Z digest=sha256:814e24cdd5c4c5c7aaeeef7128183cdbe88b70675d2b327d748e1ffc8518c37a

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:03.921057Z digest=sha256:59ce726366fb221600c34d32e9b9457929e5a1097250971f47e2e5b1f19cef46

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=sha256:439461d802ec745d67dbf31bd8b7b22a12e755172572b398765406b0b93e2f14

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.281842Z digest=sha256:0863995331c9e5161789ebd4b575e2a9ff4c90c61e54673170b886f4d826ebff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.445556Z digest=sha256:687e6eadda823897f7ea315f7654c006701eac898da13b29e27161a83536dae0

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.518816Z digest=sha256:19e2f102af1716e8464519ceb94c42409fe12eca85a8e5aca5b6e9810617c631

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.621928Z digest=sha256:aad28309c4900729e2bfadb87884c51403ee3ad4cc22aba8f889fa4a289d2375

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.696241Z digest=sha256:b950711bd3d178d044889711f80b86acf11de8d7c46963b1c05986bec6649c88

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.776997Z digest=sha256:f9e22bd850745d723c9f2bb3308ccb337f7d323e2f0e00282294cab8b9cdb19a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.851105Z digest=sha256:b9126aa4f344c88d86fb26bec9e713a7520404e8bedaf684569b3a45908e526f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:04.970169Z digest=sha256:bf961d7a76ec81a7eaae5788faf13840ebf15d8ec169c292a539b97b3eb750a3

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.071768Z digest=sha256:4b0411dc4c2eef595256685308a37b7b12ccf716c34066ad810e59339eae4904

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.154657Z digest=sha256:a907fe63990d304915baf1bfc4f9af8377374aa0fc24eceaf53daf20f9074b13

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.240445Z digest=sha256:a1261e047e3331a54e7f18a452504a21cd24206d576dcd57756254c4c5effc4c

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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verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.304660Z digest=sha256:86fa723864c6d976d73bfed0cc4f8843694f9eca8920e0ef572ea503c5a8ffd5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.376042Z digest=sha256:9c58f9eca7675f5e05960075adf0c16bf88e587b5af007191f65ee519b0175c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.442581Z digest=sha256:5f7dec21163a10c8f3092a79b7cb106e66a26558cfc1bd226ed5bed3a84931bc

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=sha256:9e2a2373c0267062561e9e4a5450caa2f69aa0ed3d4cf8b98689ad31cd19ef26

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=sha256:10ffa520bbe9d1c99c7b91d73fd57bad27022f882f87f36af565080500d5c137

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:55:05.818026Z digest=sha256:eb5f650d1baea8a79a4ee19b97d8f61fab03d061570270fb557b0c2818e29213

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 2026-08-10T06:31:04.303077+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

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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

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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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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
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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Observation c89ba91d-2e25-4228-a201-48fd69cea9ca · outbound

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

Reference 43

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

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

Reference 44

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

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

Reference 45

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

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

Reference 2022

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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