Pith. sign in

Paper Citation Record · LEDGER

AllTracker: Efficient Dense Point Tracking at High Resolution

As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2506.07310.

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

pith.paper-citation-record.v1
2506.07310 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:15.886444Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:19:41.616050Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:14.755456Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy55
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8383de8-af9c-45f5-8794-b178d37aa740 · outbound

This paper cites Drivetrack: A benchmark for long-range point tracking in real-world videos.

AllTracker: Efficient Dense Point Tracking at High Resolution Drivetrack: A benchmark for long-range point tracking in real-world videos

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:15.698049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:15.698049Z digest=sha256:8efc16a565d6af1f2bf0b14d54cfc1bf6d6710c1543864c34f75e2147b15efa2

Observation 3c84f135-d45d-4faf-b3e2-ae9aabd96d7c · outbound

This paper cites Context-pips: Persistent inde- pendent particles demands context features.

AllTracker: Efficient Dense Point Tracking at High Resolution Context-pips: Persistent inde- pendent particles demands context features

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.466166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.703644Z digest=sha256:961da448e4482970c463fe49681eff24989c9d3997fce887992184b94a8d8ae1

Observation 3bae1ebb-66cd-45ce-b855-ea24b8486ebf · outbound

This paper cites Creatures great and SMAL: Recovering the shape and motion of animals from video.

AllTracker: Efficient Dense Point Tracking at High Resolution Creatures great and SMAL: Recovering the shape and motion of animals from video

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.457491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.706894Z digest=sha256:48aee3d3cc4ab1a7f7fbc41f3d12732f9a4c43383f063b6371fac4e77608fef4

Observation 34721e1e-645d-457b-82a4-53e4d2102f62 · outbound

This paper cites Large displacement optical flow: descriptor matching in variational motion estimation.

AllTracker: Efficient Dense Point Tracking at High Resolution Large displacement optical flow: descriptor matching in variational motion estimation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.447661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.710352Z digest=sha256:aa11ba4343943531e137f3bfccb64a715b52d67a7549490fbf9fa5f7c97c4ffa

Observation c4579f96-903a-4d3a-ba46-30509acbcf7e · outbound

This paper cites Flowtrack: Revisiting optical flow for long-range dense tracking.

AllTracker: Efficient Dense Point Tracking at High Resolution Flowtrack: Revisiting optical flow for long-range dense tracking

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.437852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.713701Z digest=sha256:667c977fa698ff917a46b7ee955dfa8039b616d00f99a96000a853582ff20130

Observation 50c49f6a-c2b0-41e2-9271-4e764c06f1b7 · outbound

This paper cites Local all-pair correspondence for point tracking.

AllTracker: Efficient Dense Point Tracking at High Resolution Local all-pair correspondence for point tracking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.426861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.717456Z digest=sha256:5816622254d600e03a26e1101e9af728ded0287dfd57bb89e99dc5011c6f6540

Observation 5755ed79-993d-4389-9c71-c3cdda1b648f · outbound

This paper cites Dense long-term motion estimation via statistical multi-step flow.

AllTracker: Efficient Dense Point Tracking at High Resolution Dense long-term motion estimation via statistical multi-step flow

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.417416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.720740Z digest=sha256:a0a789c215bc01ce32ff7b0f6f8cf4e5df4d918b58d491d01bd325e9cdb65d8f

Observation fcbb9b7c-85fe-4e16-b226-75095d6b3e21 · outbound

This paper cites Multi-reference combinatorial strategy towards longer long-term dense motion estimation.

AllTracker: Efficient Dense Point Tracking at High Resolution Multi-reference combinatorial strategy towards longer long-term dense motion estimation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.408988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.724210Z digest=sha256:463ba621185e9f87b374941d649ec3a82ce5805c491923a8d3f1273cb1420c18

Observation 26473530-6e9e-4b87-a77d-3c46b268c468 · outbound

This paper cites From optical flow to dense long term correspon- dences.

AllTracker: Efficient Dense Point Tracking at High Resolution From optical flow to dense long term correspon- dences

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.400415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.727135Z digest=sha256:81adcd87925a851f26f6b69ff9f997bb47ab916a52c2dd383587b7f76ac156bd

Observation d13be171-ce1a-4c8c-aa68-a248b344cda1 · outbound

This paper cites EgoPoints: Advancing Point Tracking for Egocentric Videos.

AllTracker: Efficient Dense Point Tracking at High Resolution EgoPoints: Advancing Point Tracking for Egocentric Videos

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:42:15.953631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.730161Z digest=sha256:3d9e37a55c6e100964aafb377ccbc40bc860e5d84f8e2dce186582e3845efcb7

Observation f2589e64-5e9d-4b7d-a320-9d0483b2c1b9 · outbound

This paper cites TAP-Vid: A benchmark for tracking any point in a video.

AllTracker: Efficient Dense Point Tracking at High Resolution TAP-Vid: A benchmark for tracking any point in a video

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.391799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.733357Z digest=sha256:9e5dce38fa744c4c581e9178374a36f88a33e47614b19aee3dabea2de376ad99

Observation f1d3e972-6618-4906-8291-866f05d136de · outbound

This paper cites TAPIR: Tracking any point with per-frame initialization and temporal refinement.

AllTracker: Efficient Dense Point Tracking at High Resolution TAPIR: Tracking any point with per-frame initialization and temporal refinement

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.383107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.736980Z digest=sha256:0ba24a0930dc035ad753f804ae4fcfce3071c3dba155623491c8c111e28be4d2

Observation bd311069-b363-438d-b316-2d0eaa983e80 · outbound

This paper cites Bootstap: Bootstrapped training for tracking-any-point.

AllTracker: Efficient Dense Point Tracking at High Resolution Bootstap: Bootstrapped training for tracking-any-point

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.372858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.740679Z digest=sha256:0a066ee14083115343abff21002412c0c9570edd22f4eb45cff4bc680028ee52

Observation 7b48119d-f87d-4158-b6d9-80cf9fcb1d7c · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution Flownet: Learning optical flow with convolutional networks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.363167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.743658Z digest=sha256:dd2cf9925794181b4ddad0736943ae39ad9efca8cffbdac77ab4245bc3fbb82f

Observation 63c4e7de-f716-4fec-a61f-3eb2ac149a41 · outbound

This paper cites Vision meets robotics: The kitti dataset.

AllTracker: Efficient Dense Point Tracking at High Resolution Vision meets robotics: The kitti dataset

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.353711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.746646Z digest=sha256:6b8ebfe437e6b897c56d78ada4ba00cd9534f2802b3a02e05cc864aa9d566171

Observation 5f1085a8-d1f3-40e7-b449-fb6a104f27e6 · outbound

This paper cites The perception of the visual world.

AllTracker: Efficient Dense Point Tracking at High Resolution The perception of the visual world

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.344970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.749532Z digest=sha256:b5cf11f89c8b104a85c5e58ea99fae2ed3cc30aa5d50a368cf841dc1f7d0c676

Observation 94f6b30e-6f41-4529-bf1e-db894a4dd309 · outbound

This paper cites Kubric: A scalable dataset generator.

AllTracker: Efficient Dense Point Tracking at High Resolution Kubric: A scalable dataset generator

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.335181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.752245Z digest=sha256:50690e8f52889e483075dab19228df113543039085c0bd403131931b258868b2

Observation 5c2187d5-40e1-4934-ba65-a9ca112bad33 · outbound

This paper cites TAG: Tracking at any granularity.

AllTracker: Efficient Dense Point Tracking at High Resolution TAG: Tracking at any granularity

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.325309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.755368Z digest=sha256:896dbc907c92f8c853e5cefa24ce3199518654a3c6920374b0b40450e46780c5

Observation eaf0ab09-c81b-4dda-8e7f-85bfaba048a7 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories.

AllTracker: Efficient Dense Point Tracking at High Resolution Particle video revisited: Tracking through occlusions using point trajectories

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.315351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.758174Z digest=sha256:9429e61b540a837b68420daedfdf1953949096f5011c09fff0ecf6780086b789

Observation 0a00f610-81fd-4edd-9867-00e59ff3cacf · outbound

This paper cites Deep residual learning for image recognition.

AllTracker: Efficient Dense Point Tracking at High Resolution Deep residual learning for image recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.305319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.761389Z digest=sha256:7631ede7ab20008b34991c0d23874aeadff4ecea39c344d15b438a26d112b6bd

Observation 905311e2-9621-495e-97aa-3e69932c4b22 · outbound

This paper cites Determining optical flow.

AllTracker: Efficient Dense Point Tracking at High Resolution Determining optical flow

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.295319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.765152Z digest=sha256:99af92fc8ececc76c220e1eb7ebc455ce56ec8a5f19f96f7042ce38c0e68a5e7

Observation d13904e7-5c28-4bba-a257-623b20e99122 · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution Flownet 2.0: Evolu- tion of optical flow estimation with deep networks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.285406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.769221Z digest=sha256:214a66de7c4b8078f44097325e0007232eaa23548f65f9c998f34304fff65cb1

Observation f9f16d06-e76f-4bd2-9792-5c7c51320b5f · outbound

This paper cites Dy- namicstereo: Consistent dynamic depth from stereo videos.

AllTracker: Efficient Dense Point Tracking at High Resolution Dy- namicstereo: Consistent dynamic depth from stereo videos

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:15.772465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:15.772465Z digest=sha256:7f0f9b4674e19480f61f5252ac50eac428778929de76f2184af91891e81fad96

Observation e5b244db-c393-4185-b56d-ffd7b87b73e5 · outbound

This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.

AllTracker: Efficient Dense Point Tracking at High Resolution CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:15.776281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:15.776281Z digest=sha256:e6a119c0376d630367bca272e9c7460af955e6125831b98a2fd2cb3fa3467d89

Observation 01d402c9-9340-4e2c-a5aa-e575a417b0e8 · outbound

This paper cites Co- Tracker: It is better to track together.

AllTracker: Efficient Dense Point Tracking at High Resolution Co- Tracker: It is better to track together

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.269786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.780100Z digest=sha256:b11d3c74af7612b481651e7436e417078a641d13b5b419359ada781354d6f7d7

Observation 1992e633-fe70-4d4f-9e4d-9a7aa38e6421 · outbound

This paper cites The HCI benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving.

AllTracker: Efficient Dense Point Tracking at High Resolution The HCI benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.261508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.782937Z digest=sha256:1395e9bc5706590bb4d303c06693357e3f43d248d4dc56b49252b65f422ddaca

Observation bfbe02dd-e9ee-4f10-b1ad-3067cd365803 · outbound

This paper cites Dense optical tracking: connecting the dots.

AllTracker: Efficient Dense Point Tracking at High Resolution Dense optical tracking: connecting the dots

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.251809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.785685Z digest=sha256:dc1cdaab0458a2e9f8e5f28ebf9825458c112ce5a750428b0fa8a295a385ec34

Observation 9103b17b-1b80-4fed-be1a-0c8845342721 · outbound

This paper cites Beyond pick-and-place: Tackling robotic stacking of diverse shapes.

AllTracker: Efficient Dense Point Tracking at High Resolution Beyond pick-and-place: Tackling robotic stacking of diverse shapes

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.243360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.788650Z digest=sha256:3e9e8a71d1fd406a78be01e32b2bb685907c12d4a1097a033d207ae57e04ec15

Observation 1c136b25-c0c6-44b0-80d0-1d089f9fd948 · outbound

This paper cites TAPTRv2: Attention-based position update improves tracking any point.

AllTracker: Efficient Dense Point Tracking at High Resolution TAPTRv2: Attention-based position update improves tracking any point

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.234515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.791319Z digest=sha256:73afa5c6972e33cfa8b69f0b49928c740016148c83c3e0172c2e011c1645aaa2

Observation e03ba539-937d-49eb-9ebc-4cb6e5c3a20b · outbound

This paper cites TAPTR: Tracking any point with transformers as detection.

AllTracker: Efficient Dense Point Tracking at High Resolution TAPTR: Tracking any point with transformers as detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.225130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.794134Z digest=sha256:6e20b51d7ec867414a2f8bedd01e395bc01e7c8aac62ad53d20cbaa25cab7cd7

Observation 91358c2f-b288-4c1a-87cd-6bb3b078176c · outbound

This paper cites A convnet for the 2020s.

AllTracker: Efficient Dense Point Tracking at High Resolution A convnet for the 2020s

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.216418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.796808Z digest=sha256:93f57e8d25c531f7cb4d71bf00dbf804964abe69ae1c3f9f416c2c806a1167ad

Observation e986d045-1c74-4069-9d81-ac9ab0403f4a · outbound

This paper cites An iterative image registration technique with an application to stereo vision.

AllTracker: Efficient Dense Point Tracking at High Resolution An iterative image registration technique with an application to stereo vision

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.208174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.799646Z digest=sha256:fbf73a61fbf28a8a40ccb8de927335b900e68c332b7558af2e6a802b93d2f4cb

Observation ab41ce3f-3628-410b-8a99-3783452df143 · outbound

This paper cites Pretraining boosts out-of-domain robustness for pose estimation.

AllTracker: Efficient Dense Point Tracking at High Resolution Pretraining boosts out-of-domain robustness for pose estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.199286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.802658Z digest=sha256:b4fc06521c36b7b5067a5a0e809928b64fa952edd19678e6efcedef81439fae0

Observation 3044c2a2-17c5-41b8-8a0d-6595d10c3245 · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

AllTracker: Efficient Dense Point Tracking at High Resolution A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.190886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.805860Z digest=sha256:9f250f880f41a2787ddc2eab8b3b5d4a3b7be80040bc094cb8a7d39526f63691

Observation fdb29161-405d-4ad2-aff0-ec538aaa30b4 · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.182278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.808782Z digest=sha256:993cb29d6188b7e9207485e0bf07a91361f36bc9022a4d8dc0d3cf6ef9f2c4ba

Observation 1d1fa616-ea17-4ca1-82a3-bef91f5c75f6 · outbound

This paper cites Mft: Long-term tracking of every pixel.

AllTracker: Efficient Dense Point Tracking at High Resolution Mft: Long-term tracking of every pixel

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.174044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.811910Z digest=sha256:a0e03422547abbbceda8ab5bef867b0f53776e5d63dbeb4c1b0fc743a6918ba6

Observation e55dcf5d-9b31-4d58-98da-b6775558d942 · outbound

This paper cites DELTA: Dense efficient long-range 3d tracking for any video.

AllTracker: Efficient Dense Point Tracking at High Resolution DELTA: Dense efficient long-range 3d tracking for any video

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.165350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.814839Z digest=sha256:8246fbeaf1d3d7338842b647d11562ef10bce666c8b2fd72e9d842c438efc6f5

Observation dcbbd702-dbd4-4b5e-9201-b7767ae44282 · outbound

This paper cites Optic flow: a history.

AllTracker: Efficient Dense Point Tracking at High Resolution Optic flow: a history

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.155547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.817728Z digest=sha256:686785e8191eaf4b620833db333b1197c727577340268aa980ac94b5ac54f72c

Observation 778ba453-c475-4e6d-9eea-0d44e69e5a5b · outbound

This paper cites Playing for benchmarks.

AllTracker: Efficient Dense Point Tracking at High Resolution Playing for benchmarks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.146712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.820446Z digest=sha256:048f3c226e466dabfc8465ef7b56acb6caf5646ca529a74ef7e7f9ba64de632e

Observation 7542056f-9cec-4d24-b08a-8fe5e2cc8b9d · outbound

This paper cites Sand and S.

AllTracker: Efficient Dense Point Tracking at High Resolution Sand and S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.137976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.823166Z digest=sha256:6d6f677e058b001ac213f398e56653292a5152ea77b90f533b8f02485818ebd3

Observation 2fc6913d-fcd5-4b4f-9551-9c09a8779c15 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

AllTracker: Efficient Dense Point Tracking at High Resolution Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.129399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.826663Z digest=sha256:b8333ef61fe717d533a2a69097637b9f54bc599d160add734a10f5731a29f650

Observation e26f71bb-75a8-4add-baaa-3959645c0972 · outbound

This paper cites PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume.

AllTracker: Efficient Dense Point Tracking at High Resolution PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.120300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.829598Z digest=sha256:8bd069fdb107364f7ec4bcd2d32dcdbe1f0dd411a67e39773444fa74b675f731

Observation 85fbe524-bd5b-4ca5-a1f3-86676e1520c6 · outbound

This paper cites Autoflow: Learning a better training set for optical flow.

AllTracker: Efficient Dense Point Tracking at High Resolution Autoflow: Learning a better training set for optical flow

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.111442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.832301Z digest=sha256:7a9f8b7064a759375499d7cb24f414f707c96e0ba3069f53b66a3b0a413b3299

Observation 0abccda5-f757-41cd-a5de-512c8d5c2172 · outbound

This paper cites Re- fining pre-trained motion models.

AllTracker: Efficient Dense Point Tracking at High Resolution Re- fining pre-trained motion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.101353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.835383Z digest=sha256:55c2aec02ac2ede6b2b47bae7f5a65a0579284269a9eb9bf4532cc5188cd3ccf

Observation 7af4a607-98df-459f-be39-dda5d9765da2 · outbound

This paper cites Dense point trajectories by GPU-accelerated large displace- ment optical flow.

AllTracker: Efficient Dense Point Tracking at High Resolution Dense point trajectories by GPU-accelerated large displace- ment optical flow

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.092968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.837994Z digest=sha256:2052d198497b871b5a3b288b730de21610bbca8d1470bc7870ce3ae477d49919

Observation 93a33e7c-fabd-4fdc-b8a9-b6d8b650b4be · outbound

This paper cites Tracking pedestrian heads in dense crowd.

AllTracker: Efficient Dense Point Tracking at High Resolution Tracking pedestrian heads in dense crowd

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.084257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.840681Z digest=sha256:ab12719c96bb9e9026049fe5978017a4baa0e72306997041648d12c939a6a76a

Observation 8eca5304-037d-4c9b-a34e-231aef32acc4 · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution RAFT: Recurrent all-pairs field transforms for optical flow

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.076433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.843586Z digest=sha256:eb1fa3c6caffc4de659090ab2cb340a331b04d8fd1208fa88d4b0acb432e534b

Observation 3dfdcaae-078a-49e3-af05-5a8ca0f587e5 · outbound

This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

AllTracker: Efficient Dense Point Tracking at High Resolution MLP-Mixer: An all-MLP Architecture for Vision

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:15.846285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:15.846285Z digest=sha256:2866051b6f0888375374d8dfcde68f60f53f119502df3d0e9a34423591445c02

Observation 86448154-1e5c-4486-be5d-f6f920890765 · outbound

This paper cites Detection and tracking of point.

AllTracker: Efficient Dense Point Tracking at High Resolution Detection and tracking of point

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.068291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.849353Z digest=sha256:44df44e411c0b5c365a3326872959efc032ec8ca04e7ec713e69192baf5090d1

Observation 935556e4-36f1-4e12-8c69-6cec807d1497 · outbound

This paper cites Dense trajectory fields: Consistent and efficient spatio-temporal pixel tracking.

AllTracker: Efficient Dense Point Tracking at High Resolution Dense trajectory fields: Consistent and efficient spatio-temporal pixel tracking

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.060215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.852337Z digest=sha256:8f6cdec8499b000061a49be417bf57fb5da618913e07c1a2d6630f0063f3c72b

Observation 6eff8145-d987-4207-ac97-65476cb293aa · outbound

This paper cites Attention is all you need.

AllTracker: Efficient Dense Point Tracking at High Resolution Attention is all you need

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.051053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.855184Z digest=sha256:4550f5578c8a6b47b95f6d8705aa83bee2b8f32ba7ea161385f1d8740b76de4f

Observation a83dd5a8-2ce6-4f01-9410-63cf7bc14044 · outbound

This paper cites RoboTAP: Tracking arbitrary points for few-shot visual imitation.

AllTracker: Efficient Dense Point Tracking at High Resolution RoboTAP: Tracking arbitrary points for few-shot visual imitation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.041287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.858527Z digest=sha256:77885e3d13688cef25644ff3d727369a63439deb0afa8dc5d0a6f79e61926cdd

Observation 2294c584-5d80-4e71-b299-0e8727a43a35 · outbound

This paper cites TartanAir: A dataset to push the limits of visual slam.

AllTracker: Efficient Dense Point Tracking at High Resolution TartanAir: A dataset to push the limits of visual slam

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.031461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.862018Z digest=sha256:b9005537262f2b183695d2fbd4bcac5b4ee2a691295c7875cb84222d2e58b55f

Observation 717d4be9-6ebb-4d4e-9870-d09a3b683d83 · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution Sea-raft: Simple, efficient, accurate raft for optical flow

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.022359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.864901Z digest=sha256:1b338b3bf69dc40ed86546f997f3ef3f9958cd6689ce5b5300bca21e3e80bce6

Observation f2d9bcc0-1780-4cf4-bda8-770d3122c484 · outbound

This paper cites Accflow: Backward accumulation for long-range optical flow.

AllTracker: Efficient Dense Point Tracking at High Resolution Accflow: Backward accumulation for long-range optical flow

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.012489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.867807Z digest=sha256:18b50e358f5f88b9096cc29a6628d63010481a7f55563e4191cf7a8c4eb3773a

Observation 5d36a40f-7147-4b09-b0b2-12445d6853fe · outbound

This paper cites Spatialtracker: Tracking any 2d pixels in 3d space.

AllTracker: Efficient Dense Point Tracking at High Resolution Spatialtracker: Tracking any 2d pixels in 3d space

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:16.003299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.870737Z digest=sha256:1e7a6cdb7014062eff02a414530a2b87c7de5b7c766ad5dec86717d8079dc925

Observation ae132179-af28-4c3e-85cb-8deae08dcd09 · outbound

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

AllTracker: Efficient Dense Point Tracking at High Resolution Gmflow: Learning optical flow via global matching

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:15.993219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.873655Z digest=sha256:0bc55ae76cab521d16be5573dc4d8a46e47f0001a526518eecfcbe25652c7094

Observation 069e341f-9b01-4a4d-88bd-cd87d2cc438b · outbound

This paper cites Accurate optical flow via direct cost volume processing.

AllTracker: Efficient Dense Point Tracking at High Resolution Accurate optical flow via direct cost volume processing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:15.983941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.876500Z digest=sha256:abc83013c2944676d0787412863f6b7aa8cff9e91e233e5e30819c9774ed751d

Observation a1f7037f-172b-48bb-9664-0ae650f85615 · outbound

This paper cites Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J.

AllTracker: Efficient Dense Point Tracking at High Resolution Harley, Bokui Shen, Gordon Wet- zstein, and Leonidas J

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:15.973869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.879385Z digest=sha256:bffe5425e5a75c014c897c30e32792bc930f50079f3e29555dbed45ff45118d4

Observation 54e95aa7-396d-4e38-8ad6-68945d178ef8 · outbound

This paper cites TAPNext: Tracking Any Point (TAP) as Next Token Prediction.

AllTracker: Efficient Dense Point Tracking at High Resolution TAPNext: Tracking Any Point (TAP) as Next Token Prediction

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:15.882789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:15.882789Z digest=sha256:58433b94f222725d838061f6df981dfc3146ae35459f7f9ab31cda8453a2fa51

Observation a72e7afa-b5a1-49ec-a434-a2a8519884bc · outbound

This paper cites space- time.

AllTracker: Efficient Dense Point Tracking at High Resolution space- time

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:15.964291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:42:15.886444Z digest=sha256:b32ffa436068eacf3c283cb0f6343b02d50443519634777a16ed70f5218fda2c

Pith citing papers

Observation ce7b576e-95e1-4f5f-9e84-12651e2e8ce8 · inbound

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion cites this paper.

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion AllTracker: Efficient Dense Point Tracking at High Resolution

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:25:40.446045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T18:29:57.042720Z digest=sha256:39227118dd8ab1af495649c9e3509fa7d6a8d768fde3303c6630c2d0a945449e

Observation 1afc062e-4028-4f4f-89db-4b9788bf39bd · inbound

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion cites this paper.

Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion AllTracker: Efficient Dense Point Tracking at High Resolution

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:25:09.660534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T00:19:41.616050Z digest=sha256:2ed5e6c4e538533539cab8ca6cea5d3c452694c0a38e5f0f169976e7d56996c5

Observation d1ad93aa-5e3d-407d-b47e-287745d3d1e1 · inbound

Efficient 3D Content Reconstruction and Generation cites this paper.

Efficient 3D Content Reconstruction and Generation AllTracker: Efficient Dense Point Tracking at High Resolution

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:43:15.382028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T11:38:48.194538Z digest=sha256:408d99b0eabb2cfe4c7f3aaf850ace96df705086247502a3933ac07b9166700a

Observation 03d5f688-914f-4dac-adae-e16ce98d67b5 · inbound

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction cites this paper.

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction AllTracker: Efficient Dense Point Tracking at High Resolution

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:09:14.758580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:27:47.702578Z digest=sha256:e8bbbe698b67df1821af2f552cfe84d99fda04dada8e8d6c359446c19e431776