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Paper Citation Record · LEDGER

ETAP: Event-based Tracking of Any Point

As of 13 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2412.00133.

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

pith.paper-citation-record.v1
2412.00133 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:31:16.966824Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.856344Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T04:33:20.845295Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact1
  • verified fuzzy59
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb6d0ef1-9160-4527-8d58-c9f26c3f0bb2 · outbound

This paper cites Event-driven Feature Detection and Tracking for Visual SLAM.

ETAP: Event-based Tracking of Any Point Event-driven Feature Detection and Tracking for Visual SLAM

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.661768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.704060Z digest=sha256:266bddd14d3f775a31ed3c2566dae21f425f88e80d7e19b67b56b7b2d4000233

Observation 3decca34-9755-4fa7-bc2c-f5dd3f6fb2db · outbound

This paper cites ACE: An efficient asynchronous corner tracker for event cameras.

ETAP: Event-based Tracking of Any Point ACE: An efficient asynchronous corner tracker for event cameras

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.650333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a99604aa-248b-41cb-b778-4464050a9cd7 · outbound

This paper cites Haste: multi- hypothesis asynchronous speeded-up tracking of events.

ETAP: Event-based Tracking of Any Point Haste: multi- hypothesis asynchronous speeded-up tracking of events

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.639924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4788c517-ff1b-4502-b8aa-49b9c51974cb · outbound

This paper cites Lucas-kanade 20 years on: A unifying frame- work: Part 2.

ETAP: Event-based Tracking of Any Point Lucas-kanade 20 years on: A unifying frame- work: Part 2

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.629929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.722725Z digest=sha256:09ce032c51f432cbde46a70fff3cf33b085bf652bd7dc6f9e160a77293281038

Observation f4b64826-5058-485c-abe3-f4c4c9b1f557 · outbound

This paper cites Blender—a 3d modelling and rendering package.

ETAP: Event-based Tracking of Any Point Blender—a 3d modelling and rendering package

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.620061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.727601Z digest=sha256:2288b840a1a9797de0397f32165edc86c654af595504596d9ac0abb9cffb388f

Observation 13097b87-9b88-4832-b6e8-91478188994e · outbound

This paper cites EVIMO2: An event camera dataset for motion segmentation, optical flow, structure from motion, and visual inertial odometry in indoor scenes with monoc- ular or stereo algorithms.

ETAP: Event-based Tracking of Any Point EVIMO2: An event camera dataset for motion segmentation, optical flow, structure from motion, and visual inertial odometry in indoor scenes with monoc- ular or stereo algorithms

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.610666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.732740Z digest=sha256:1d51288b31c2f55bac696e6bd71df03c583f25492b664b491d1fb0f1f7315c14

Observation 167ad7e5-4c9b-424f-9235-6c4870fc1d96 · outbound

This paper cites LEAP-VO: Long-term effective any point tracking for vi- sual odometry.

ETAP: Event-based Tracking of Any Point LEAP-VO: Long-term effective any point tracking for vi- sual odometry

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.600883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.737658Z digest=sha256:163f80814caf696f5a9f55be13cfc7efeeabaa61ef140d33eb7e288d55320a21

Observation 233e3695-c0dc-4543-8f5a-4780030e7a04 · outbound

This paper cites TallFormer: Temporal action localization with a long-memory transformer.

ETAP: Event-based Tracking of Any Point TallFormer: Temporal action localization with a long-memory transformer

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.590859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.741856Z digest=sha256:228a07982f04f91cda1d1b53db1830920235a953e0bc45eec19ee6dc09297fc0

Observation 6f4641d5-04c6-4d23-9f69-736bf7059553 · outbound

This paper cites Detecting stable keypoints from events through im- age gradient prediction.

ETAP: Event-based Tracking of Any Point Detecting stable keypoints from events through im- age gradient prediction

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.581127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.747764Z digest=sha256:24677d3840ad51f87ec4fd000c0b5d17d10830ac3d408cbd247ec781eb06a403

Observation a4687ec4-72d1-4331-b08e-da63b2557117 · outbound

This paper cites Local all-pair correspon- dence for point tracking.

ETAP: Event-based Tracking of Any Point Local all-pair correspon- dence for point tracking

Reference 10

Resolution
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raw_fallback, observed 2026-08-12T10:31:17.571015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ccfcda57-3761-4472-bf40-8f4e10bdf5f2 · outbound

This paper cites Bullet physics simulation.

ETAP: Event-based Tracking of Any Point Bullet physics simulation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.560930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.756151Z digest=sha256:66f432a630731bd57ea53aefc825dc17db060a0fd6bc1083b0be11777feab698

Observation fcd21b47-b371-4261-9019-7fbde4180ce8 · outbound

This paper cites A voxel graph cnn for object classification with event cameras.

ETAP: Event-based Tracking of Any Point A voxel graph cnn for object classification with event cameras

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.551206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.760925Z digest=sha256:5a0dca1344a01f2517a43f6238e7c112bb5b1a44b79d403e4c10d4778b722214

Observation b3c50d1e-5720-4447-afb6-c19bb421029e · outbound

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

ETAP: Event-based Tracking of Any Point TAP-Vid: A benchmark for track- ing any point in a video

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.541524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.764747Z digest=sha256:1672daf325738411259658ee0b946a8b4e802660ebb97f8e4cb1e1744ee9fba2

Observation c86494ab-a783-4f6b-8bde-df16ca6dddad · outbound

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

ETAP: Event-based Tracking of Any Point Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.530090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.768530Z digest=sha256:efafca5c68a70931392dd92d95f4afea4ded54830c513e6dce054f0d8f0622b7

Observation eec8193a-36af-4752-bf89-8de9383d1d40 · outbound

This paper cites FlowNet: Learn- ing optical flow with convolutional networks.

ETAP: Event-based Tracking of Any Point FlowNet: Learn- ing optical flow with convolutional networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.519294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.773117Z digest=sha256:cc7ec7a2b62dab0d3a65a9b7ee81f1d67377a385c88a227fa494ad8f3a5433ae

Observation b52b9b39-1b3b-4aea-b4e3-bfb403db3d28 · outbound

This paper cites QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.

ETAP: Event-based Tracking of Any Point QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:31:17.042941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.779193Z digest=sha256:1c4458536d918ccff9fc0b8bf5ddba98a26d31172bac6dd20fe740dcd7429f34

Observation a91f7f6e-7d73-4916-a94a-d4f00208f085 · outbound

This paper cites Event-based vision: A survey.

ETAP: Event-based Tracking of Any Point Event-based vision: A survey

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.509331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.784297Z digest=sha256:4dfab8996987974fe5effc5d680110646488db12e1c346f6df487405b225f922

Observation 8861750f-7b26-4dbd-b659-3ee8f51110c1 · outbound

This paper cites Asynchronous, photometric feature track- ing using events and frames.

ETAP: Event-based Tracking of Any Point Asynchronous, photometric feature track- ing using events and frames

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.499402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.791404Z digest=sha256:144c7ec8881ab32558f0f0458039c7fdc8df87a996d9f82ae391484784da71b4

Observation c6646365-ca2c-4e9b-88d8-e62f7fee5b61 · outbound

This paper cites Derpa- nis, and Davide Scaramuzza.

ETAP: Event-based Tracking of Any Point Derpa- nis, and Davide Scaramuzza

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.488556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.797440Z digest=sha256:ca8113fb3269a84d1dd8d72abdd2359b52cd7fb1068087f7d55204ed2faef78a

Observation 88e696f0-71c6-442b-8de1-ef563b6a4956 · outbound

This paper cites Video to Events: Recycling video datasets for event cameras.

ETAP: Event-based Tracking of Any Point Video to Events: Recycling video datasets for event cameras

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.478644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.802039Z digest=sha256:d8eb62c74c3fc8059824491390f9984a2cd5469f46f995f2ab8c0da965ebeffb

Observation 09fbd9ba-65a5-4534-a4ad-fa725e0b72f3 · outbound

This paper cites EKLT: Asynchronous photometric feature tracking using events and frames.

ETAP: Event-based Tracking of Any Point EKLT: Asynchronous photometric feature tracking using events and frames

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.463926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.806122Z digest=sha256:92aa3bb33382b91ccb1a7868b04870bd1706b844693c438aefd1947e47239469

Observation 809c0a4a-5055-495f-9b86-1fab2dfedf0a · outbound

This paper cites Dense continuous-time optical flow from event cameras.

ETAP: Event-based Tracking of Any Point Dense continuous-time optical flow from event cameras

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.453170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.810143Z digest=sha256:bc90ea0b150065e8bd7e25e5f3d57c2a3919d0434e6674053ce706cedb8167f2

Observation a229e0e5-2869-46cb-9d05-3c8cf5c01760 · outbound

This paper cites Kubric: A scalable dataset generator.

ETAP: Event-based Tracking of Any Point Kubric: A scalable dataset generator

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.442659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.814965Z digest=sha256:76b34172ca88278b2a39133b10b58cb19a7caa8c78b29339fcce5b9859251351

Observation 26b19694-d5d5-4f23-a817-0a892e4f1814 · outbound

This paper cites Motion- prior contrast maximization for dense continuous-time mo- tion estimation.

ETAP: Event-based Tracking of Any Point Motion- prior contrast maximization for dense continuous-time mo- tion estimation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.432026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.819011Z digest=sha256:587a42f79222f342ca3db43b3bdafd46c848dd83ce41f2d290dde7e8cfb003d3

Observation bdae02d3-2c5f-44ce-a334-572f5931271a · outbound

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

ETAP: Event-based Tracking of Any Point Particle video revisited: Tracking through occlusions using point trajectories

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.421065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.822783Z digest=sha256:4778a42ffbdd6c0858a1ace32ad8ff06f0e16d81af5fe19248131dbcfef6f102

Observation 36cc4dc2-e6f4-465e-8b86-af8139cbad52 · outbound

This paper cites Event-aided direct sparse odometry.

ETAP: Event-based Tracking of Any Point Event-aided direct sparse odometry

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.410604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.826563Z digest=sha256:b11dcb7653c6eb9a913af51e5a9eb13d2b15eaae343b67ea23b8a817a0ce835d

Observation 9b78b2d7-624c-4c18-9c43-e4d5c5494d38 · outbound

This paper cites Horn and Brian G.

ETAP: Event-based Tracking of Any Point Horn and Brian G

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.399038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.830131Z digest=sha256:283ef313ce1b1758f2850362843340097ad504be001f572dd80619a9370c905d

Observation 13c2138d-c9f1-4fe9-95b5-d7999cc7c9c0 · outbound

This paper cites FlowNet 2.0: Evolution of optical flow estimation with deep networks.

ETAP: Event-based Tracking of Any Point FlowNet 2.0: Evolution of optical flow estimation with deep networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.388197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.833898Z digest=sha256:7e5db28189777335e19c3ee423503edfcc7663514fef5d7838882cd499be9860

Observation 2cca9b6c-46b6-429d-9091-e3e50b6aaac7 · outbound

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

ETAP: Event-based Tracking of Any Point Co- Tracker: It is better to track together

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.377738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.837248Z digest=sha256:861d79b62fe3bd52a33ad68653f571a56e1e5b35e3a4608c6613a74030d7fb41

Observation 480f3a0b-b8c2-4e14-bed8-01c6c2343e75 · outbound

This paper cites Deep event visual odometry.

ETAP: Event-based Tracking of Any Point Deep event visual odometry

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.367742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.840669Z digest=sha256:7ce314ee30599df8e4989935a49410d8699ff98bb44cdf20a2276acb0562e242

Observation 60c81465-8766-4a9d-84ac-c8be3811a9e8 · outbound

This paper cites The ninth visual object tracking vot2021 challenge results.

ETAP: Event-based Tracking of Any Point The ninth visual object tracking vot2021 challenge results

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.358158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.844342Z digest=sha256:1ef86fe633213ebe5da9667e90091251081b246aa0819725401ff5fc656dc2d9

Observation aac18510-79b3-4a4c-8a68-2e2e1428717b · outbound

This paper cites Low-latency visual odometry using event- based feature tracks.

ETAP: Event-based Tracking of Any Point Low-latency visual odometry using event- based feature tracks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.346833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.848118Z digest=sha256:2d1ff648da11b03158aea0b7fa47959c9d1c2fb852b7b0edfa6da09de10a1d9f

Observation c526e333-d0ad-43fd-9f19-13a141f70595 · outbound

This paper cites Asynchronous event-based multiker- nel algorithm for high-speed visual features tracking.

ETAP: Event-based Tracking of Any Point Asynchronous event-based multiker- nel algorithm for high-speed visual features tracking

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.337173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.851582Z digest=sha256:f1677d9d4c45667f3acf22d87cd82bf0ccc6d1a0c92ae399c24f4279803f99b9

Observation b7280303-9c76-4880-9b6a-3fa3f480adda · outbound

This paper cites A survey of appear- ance models in visual object tracking.

ETAP: Event-based Tracking of Any Point A survey of appear- ance models in visual object tracking

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.327400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.854918Z digest=sha256:54664df58ebf2923749dc9e1c440d47cd5c5e5174d7b80e67f9a15536ed16916

Observation 2b2fcd34-db37-431f-88e1-2be3dad8ed8b · outbound

This paper cites Blinkflow: A dataset to push the limits of event-based op- tical flow estimation.

ETAP: Event-based Tracking of Any Point Blinkflow: A dataset to push the limits of event-based op- tical flow estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.317330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.858423Z digest=sha256:3ccf3db8193fac0f5bedb0bb327e9bd55b15418758bd51b969a81b1727073b6e

Observation 4810f3b1-cafe-42ae-bc73-e31416b043e0 · outbound

This paper cites A 128×128 120 dB 15 µs latency asynchronous temporal con- trast vision sensor.

ETAP: Event-based Tracking of Any Point A 128×128 120 dB 15 µs latency asynchronous temporal con- trast vision sensor

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.307521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.862120Z digest=sha256:d3a4a21a2afe5cbfa9385f7df11dae7cd277b7c16e4bc32709b9e35383b2f732

Observation 5c813c97-fd06-49eb-9e56-65b50ff7aa7b · outbound

This paper cites Bauer, Ahmed Nabil Belbachir, P.

ETAP: Event-based Tracking of Any Point Bauer, Ahmed Nabil Belbachir, P

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.297318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.865850Z digest=sha256:5f6fd0ed514dfe4569ac0a7d510c613ba402120cf9d06f26a7d845c6448b0a71

Observation 1a4265f6-90b4-4a8f-b0db-682ec1790f9b · outbound

This paper cites Tracking Any Point with Frame-Event Fusion Network at High Frame Rate.

ETAP: Event-based Tracking of Any Point Tracking Any Point with Frame-Event Fusion Network at High Frame Rate

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T10:31:16.869362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:31:16.869362Z digest=sha256:6f4bbd3030d8566c1125ea40b3a58c75b7e0d13fc112ddafd277d05c95c99b0c

Observation a56b3011-6ac6-4e0e-a3f6-076207fee6d8 · outbound

This paper cites Decoupled Weight Decay Regularization.

ETAP: Event-based Tracking of Any Point Decoupled Weight Decay Regularization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T10:31:16.873253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:31:16.873253Z digest=sha256:62c549ad2d0e790a624029b681fa28286c075f732e94a2143014cffcc8ddcf63

Observation f2eaf795-b29b-4e7a-a0fd-7b90c4821a58 · outbound

This paper cites Lucas and Takeo Kanade.

ETAP: Event-based Tracking of Any Point Lucas and Takeo Kanade

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.287179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.877214Z digest=sha256:d1d37044f06231eed7fd3022483600b6785e179ae09e4f293ef72519459a7d2d

Observation 88455daf-0bd5-44cf-8de4-328290bd97ca · outbound

This paper cites Speed invariant time surface for learning to detect corner points with event- based cameras.

ETAP: Event-based Tracking of Any Point Speed invariant time surface for learning to detect corner points with event- based cameras

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.277693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.880700Z digest=sha256:4c684f72faac6ed0d9e67a4697d97853e82a903909f9e6bdcbfe0d5f3ab18a14

Observation 961a1410-01f7-417b-a075-ff1baedeb345 · outbound

This paper cites The template update problem.

ETAP: Event-based Tracking of Any Point The template update problem

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.267197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.884032Z digest=sha256:9cb465ddce4903dcc32f2981a895d2377ec5fb3449517096bb74db8522651f41

Observation 530239fa-a403-4e1c-b8d7-5b59dcb100d2 · outbound

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

ETAP: Event-based Tracking of Any Point A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.257308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.887983Z digest=sha256:8895461f348c8a7dc81fac29daf4952359b933fd69938b878a5070c8d4425101

Observation a5274054-9733-4997-a85d-9d9512cb228a · outbound

This paper cites Data-driven feature tracking for event cameras.

ETAP: Event-based Tracking of Any Point Data-driven feature tracking for event cameras

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.245493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.891991Z digest=sha256:08f2848591bd04aaf96b0fcf54cf1ed92746328807a5df06349b610a69b9819c

Observation 8c0fb71c-7ef6-415a-af2d-ce98234ff655 · outbound

This paper cites The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM.

ETAP: Event-based Tracking of Any Point The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.235250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.895831Z digest=sha256:f22f81214d6749714cdca2b025754d60ca6d9e54934da9ebd784b4e7bbc9fa34

Observation ea237a1c-de65-43e2-8eeb-87e15da2ff3b · outbound

This paper cites Stereo depth from events cameras: Concen- trate and focus on the future.

ETAP: Event-based Tracking of Any Point Stereo depth from events cameras: Concen- trate and focus on the future

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.225232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.899484Z digest=sha256:003df4d8f5b97add52adfcdd2bc2abddfa591c06e7c13d7afc4c3e1ca0708e2e

Observation ffb6e971-64eb-4080-afb1-84147da4d80d · outbound

This paper cites Visual tracking using neu- romorphic asynchronous event-based cameras.

ETAP: Event-based Tracking of Any Point Visual tracking using neu- romorphic asynchronous event-based cameras

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.215167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.903115Z digest=sha256:f8fd2ef8a13d3e1258d765555fa4915b4a6eff63bc849dab3dc98e668cebfcfa

Observation f942985c-6002-4c1f-be8d-3c0da3f1c766 · outbound

This paper cites Quasi-dense similarity learn- ing for multiple object tracking.

ETAP: Event-based Tracking of Any Point Quasi-dense similarity learn- ing for multiple object tracking

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.205318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.906922Z digest=sha256:d9781b65c2fd9c540437a00a827b35e4483925abcf56f083e911ba6e46fb5e91

Observation 1e09e883-524a-4e31-8bba-5a71faa0958b · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

ETAP: Event-based Tracking of Any Point The 2017 DAVIS Challenge on Video Object Segmentation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T10:31:16.910500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:31:16.910500Z digest=sha256:fc272bbdfdba4088595132b3b779dfcb5e0047158ff147081e2608ae6a63a498

Observation 92a9d0fd-b364-4c45-be74-116371c2f85e · outbound

This paper cites An asynchronous time-based image sensor.

ETAP: Event-based Tracking of Any Point An asynchronous time-based image sensor

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.195729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.914368Z digest=sha256:e17206b371c837b3dafc39753a0058839cdd82507cd4998755b1b6eb108437dc

Observation b2251290-a600-4490-abdc-6b6612628557 · outbound

This paper cites ESIM: an open event camera simulator.

ETAP: Event-based Tracking of Any Point ESIM: an open event camera simulator

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.185791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.918078Z digest=sha256:783427f1480e60136e81f8922e5e76bab34b51cb64a90e3732dd2b79c0ec119b

Observation a0cfd1e3-676b-4de7-a7ad-cf1e703db007 · outbound

This paper cites Events-to-video: Bringing modern computer vision to event cameras.

ETAP: Event-based Tracking of Any Point Events-to-video: Bringing modern computer vision to event cameras

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.176107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.922264Z digest=sha256:883d4d3d085d09a33374a466b658cf42789bf0ce2a5589a0e9b412476f375547

Observation a6d773a6-7195-4db3-9420-8ed9e57de384 · outbound

This paper cites FILM: Frame in- terpolation for large motion.

ETAP: Event-based Tracking of Any Point FILM: Frame in- terpolation for large motion

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.165168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.926303Z digest=sha256:baa4e76056ef234aa051a6eace8157be0e56cb72d8353504a9901a825d180adb

Observation fb9609cc-03cb-46a3-9f48-e6825903a3eb · outbound

This paper cites Particle video: Long-range mo- tion estimation using point trajectories.

ETAP: Event-based Tracking of Any Point Particle video: Long-range mo- tion estimation using point trajectories

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.155207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.930012Z digest=sha256:6e4c5c965bb9f8569bdd75a92a9b3bc6d47aaee947527bc79d194181a8f61be3

Observation 7becdb95-5a6b-4f3c-83d4-5c39c71c0caa · outbound

This paper cites Event-based background oriented schlieren.

ETAP: Event-based Tracking of Any Point Event-based background oriented schlieren

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.145191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.933458Z digest=sha256:de71adab18654dcf4f6d7725ab2a07168ac57984fba2b4977b2ec3d355d54550

Observation e60b2bad-7212-4702-9342-bae96b443da2 · outbound

This paper cites Reducing the sim-to-real gap for event cam- eras.

ETAP: Event-based Tracking of Any Point Reducing the sim-to-real gap for event cam- eras

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.134010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.937349Z digest=sha256:79d9dcb9decc8b26a63f9dc27336f0613f4aca2f04ee1b1bfdc7b72cea5827b3

Observation 340cdf0d-25cc-44d5-a545-b7011ffd1583 · outbound

This paper cites Feature detection and tracking with the dy- namic and active-pixel vision sensor (DA VIS).

ETAP: Event-based Tracking of Any Point Feature detection and tracking with the dy- namic and active-pixel vision sensor (DA VIS)

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.122520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.940869Z digest=sha256:f222eaa9230060a3d926e34e2ff3dfceb3e7d18c0d84a9b37a90c3e147a2928b

Observation 1e1ec640-243b-4a20-8752-d43c3f3d3db8 · outbound

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

ETAP: Event-based Tracking of Any Point RAFT: Recurrent all pairs field transforms for optical flow

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.111138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.944257Z digest=sha256:bb1afe4f2c0810e0cd1c95c2fb2a8da2fff9129d0c1a2cd8969ed5dee205b0d5

Observation 778d6e3c-6dbd-4998-95df-834ba089a694 · outbound

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

ETAP: Event-based Tracking of Any Point Robotap: Tracking arbitrary points for few-shot visual imitation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.099387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.947606Z digest=sha256:05bfdab13cb443abaa390c7ffc353860619388986bd300332a3c3fe77c2a3546

Observation 9e8ea2ec-90e1-4908-8df3-748b32355e59 · outbound

This paper cites Event-based Continuous Color Video Decompression from Single Frames.

ETAP: Event-based Tracking of Any Point Event-based Continuous Color Video Decompression from Single Frames

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T10:31:16.952161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:31:16.952161Z digest=sha256:f9af9859f5cbec77cd02435a30f05850d1134fc07b550adc6b238e4a60619c42

Observation 8b7a568d-28bc-4f59-8198-ef446b6d5281 · outbound

This paper cites Scalable video object segmentation with simplified frame- work.

ETAP: Event-based Tracking of Any Point Scalable video object segmentation with simplified frame- work

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.087753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.956181Z digest=sha256:2d012d2c4538c5aa470917a06aa769bd0fb33b0131ae5dbb36388b1c10a222da

Observation 2461c2dc-3a9b-41bc-a1ec-15b4589798ba · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking.

ETAP: Event-based Tracking of Any Point Pointodyssey: A large-scale synthetic dataset for long-term point tracking

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.076453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.959782Z digest=sha256:b69dbfdd98ced5877b37a26c55d8cff0954ee2e19cfe103f88bead0db5d6767e

Observation e6bc1af5-c085-4cad-ba19-3e89968be2ac · outbound

This paper cites Event-based feature tracking with probabilistic data associa- tion.

ETAP: Event-based Tracking of Any Point Event-based feature tracking with probabilistic data associa- tion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.065629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.963546Z digest=sha256:ea32a4a18b52dfe0b682977a00a347624de43cd6539cc91705baa1d94e79397a

Observation 0e72590c-783b-4d2b-9472-7be33e8b6ae4 · outbound

This paper cites From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

ETAP: Event-based Tracking of Any Point From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:31:17.055027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T10:31:16.966824Z digest=sha256:ae00ce58c60f01f13fd6c568a0219049c9095776016ac2e483addb5e4866001c

Pith citing papers

Observation 7b55c734-61b1-4d98-aa1f-9e2d260e5cfd · inbound

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking cites this paper.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking ETAP: Event-based Tracking of Any Point

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:33:20.850894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T04:33:19.674448Z digest=sha256:6ecffa40b1aa278ff8fa81743c60e9f04a9cb30f65a47653d4ec9a9ff28b380c

Observation 3b6e0c51-c112-4c69-bbc1-87735d872a7f · inbound

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues ETAP: Event-based Tracking of Any Point

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-12T10:52:48.856344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:52:48.856344Z digest=sha256:4992ada6accb34cdbb97fc71e4fdf3fd630148a744088f08b95a49a046808e74