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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.704060Z digest=sha256:6909e270a31a60825216a54ba052610c7989a513e509900b9aec0681b37beca0

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.717834Z digest=sha256:2ef49e969fd06364502f982c9e6427cabaa99084ef2dd822f23982e18b8d0749

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.722725Z digest=sha256:cf3ef96ad79b6cdc1787e9a6d0b43369755e75ac6ea1c94c59a969ef1e3525e0

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.727601Z digest=sha256:540b02a8e2a57059de941ca7d02470c5fb1a1d8fd5bb720ce3e80a018d64f9a2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.732740Z digest=sha256:722896568817f3e50981b0080a69ba126edee62cf66d33084d409a29da245d26

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.737658Z digest=sha256:bdcb6af9744a7149cae590c8ac381bc1a58324c22e8e7d83c2bf5a0b9a2da0b3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.741856Z digest=sha256:6f60cf2c0b6c8a61ae79344c038914411552abb0f312b902315e6c5aacddf3fd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.747764Z digest=sha256:8a8c5b4393d57a0fb7c3dc97e6bf0cb32f08f710b62c1757e81b89d405787464

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.751939Z digest=sha256:accac76a8f1f0015fb1e786ad298f7c0c29b742a9df79bcafa729f14f4e0f487

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.756151Z digest=sha256:3b1e85ef32fa3c74b293a3db221892bac340cdca28fccef683f490d11585f183

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.760925Z digest=sha256:4f75bd69aade6a2876372b3fe8a81fac37179ac192c2284ef1b8cde2aa6f9799

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.764747Z digest=sha256:84a497aac92d2b3c6cf6f800fd4c7b2bcb11b673e2ebf9235f2783b32e6c364e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.768530Z digest=sha256:760b29eb751270e31690bcd3ec63fe85c94497c945c60396948a32d016731364

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.773117Z digest=sha256:11966d989395314070fb62474bb3a32158c7241e607e5e11f908313ef16b1e93

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.779193Z digest=sha256:c89c717ea0b6bda8d7fa0e1b004560fc09c4ff46fd8ce36e8461cfcb40f1a810

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.784297Z digest=sha256:77718fcdd8e34655364f680dce3e59714db92be239879a9c877274e1ddfdae00

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.791404Z digest=sha256:c6666dca6c05377674dd943ac1923ac3939b4d8d24afc3379cef49674324baef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.797440Z digest=sha256:badd367cda92d5ac0ec5f338424e3ec505047737a7376f11124b0bd563134f39

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.802039Z digest=sha256:ef19699d8fda8031fea0210a96a288ee3b8d5dcda6e94c34575017820a9b4699

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.806122Z digest=sha256:e71f41f71b4e3fd460e087469e7a01618877e551e42254478576d44abbd099aa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.810143Z digest=sha256:ca601fe0b405935a4d89c5a881a1fde8d053f00d48a8f129a7f165fcf25a9a16

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.814965Z digest=sha256:fded16cc4f094b0a2eed9debc735f02ed135699824ebbfcd5c5c17962faed4a6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.819011Z digest=sha256:807608a841becacb225e6c358705e4b5aff1f986a466a973417be2db208f5b58

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.822783Z digest=sha256:8f46e099556ccc8390264b3e57dd48e26c210c7a2a244e0b54e45fc421416c9e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.826563Z digest=sha256:abb5292332720186a860713354f9be4b7c834ab52c340aa5032e3b70203aec8d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.830131Z digest=sha256:59c23c9908d7153d3556ff6a41feca0d5e26ebee208fe25581a571f0b0860d7e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.833898Z digest=sha256:34c60677bc28439f449dcb4808427a97c96f0c5bf97897f7d29cc6b665f35442

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.837248Z digest=sha256:6f891ff0d23a45939e5be47de8e4e693beae42cb027d1fce2e7b770f29771941

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.840669Z digest=sha256:b3cc8909d9fde5aabb65ef9e53eb3c227457e5c70b03e9bee13fe1ab87c3f441

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.844342Z digest=sha256:f8c5e1aa3cf644c814e3c92ca9e41f9fe8fded437ea3cc433de17425caff9b2f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.848118Z digest=sha256:02f0e3287c9617d4d740b658179a5983ff017fd4d633c3a4ae961f96bc5699a0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.851582Z digest=sha256:56deeac2edae08ec6203bf50131ab39af4ba3a0b1c5f432e23a3074da2af3eef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.854918Z digest=sha256:5169cf1275d7aa77f341c48a15daaf610e134f441c15329a0210e956cf0b63b2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.858423Z digest=sha256:171912bbd1293060cff44f29b3cdb1484b7ea2a7540fedfea130c8caa3c70803

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.862120Z digest=sha256:5e7e780309d67aeb9d4f664a7a65be2b514bf4982e009b16c4a68c07255fd854

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.865850Z digest=sha256:8be24bfc50dbb964841bbd2f299ff42d9fb93ece20a6274cc52072382815d3f2

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:b6ccd9a8b345af8a7397d25de27e51ca737dfc46ae54900654fc71b5474cdab8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.877214Z digest=sha256:9cbef73a39eac2d7fdecb748ccf261d6aa3391e3c48a0f19c75e8b1ddcf127a7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.880700Z digest=sha256:014329a799a3f74cd4bc0d7b4935a6c0c670434893ff65ee2625525fcad02eae

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.884032Z digest=sha256:bbf5d5f7417873d939de5cd87cfe93c90320868ae3201bf3f906fc3f80b849ff

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.887983Z digest=sha256:7a64f04b4febc515e1045b0a62070907b9aa7e9cfcb892d6c16af9e485c371a9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.891991Z digest=sha256:d2fae72fe87f3a7e715ea8976a8592ed55646330fee580e99ee98b545779f393

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.895831Z digest=sha256:670d061a333e966ea4da2b56b28217c66b4116ae121948ff9464235234fd0be8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.899484Z digest=sha256:c7158263682bdcd2b65a276d89d897afccb2f13a46f6db8eef45ef296302539f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.903115Z digest=sha256:982f8d4b6a20fb956b4baccdb4462ef168c934f7272368a9c825c8936aa6dc9f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.906922Z digest=sha256:e6550546d98f451138047df8e815656326fb7186a1722861f403f52f87c54303

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.914368Z digest=sha256:3b6532f547f37f8bf8987d90035e74020e1f79931b8b6dbd57ec6de26030ca19

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.918078Z digest=sha256:aea19c54061810d6b4e2e423ddbc6c3aa49aa9b3f4b7894b9536e4478b3f2919

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.922264Z digest=sha256:ed8fcd4714216e92a50df0b1517fc4b4ab00dad97bf150872a56c7c5dd6f9f1b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.926303Z digest=sha256:8ff8794b88d2f30725c025eca5b1c3ff84f9f51be0acc15a484c37909c51508e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.930012Z digest=sha256:01915d7b3810344adc7c2f0d0bfb1466486003182ddc093786f5839530b78828

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.933458Z digest=sha256:8555624d7f295a7bfed124aa129bd4e6f650cea24c808410acac4f94bf93fd34

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.937349Z digest=sha256:5b29c822c8b150777ac337736b88e2d50088668379fb557df8b275e6f01e2cee

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.940869Z digest=sha256:802da2ca3a10c47cd2d5ee3724c7dec5884891f0a82da588c6c15bceb5e58d2c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.944257Z digest=sha256:86c4b4c95f3f91193c2ecca082fb9fa83578f33eb191991ae953097854a982ed

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.947606Z digest=sha256:e0bde05154e44fc9a4fc4d3b03f44bffbdce9eb9cdf6477bba371fe3ba5301e8

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=sha256:680313a177b5dcb244b1912b83e919c503e0e59586e91058ad1a102b6ad51926

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.956181Z digest=sha256:b7bb03a5a2ca71feb0ce8764627109d99787392c6a77772d9b2c53fc57adfb86

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.959782Z digest=sha256:be42c49ca0d0a70a2f3a6cc3d5929e7938d09f0cffa2bba9abeebf7d222204c2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.963546Z digest=sha256:a26c53306e8cb62caca1b8d8c972027acff54c168762f2226e57f79ccbf90808

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:31:16.966824Z digest=sha256:e07e8af0bca03797ed69a30cc1aa67f4770a44eae2e0ecca0627aff32254b044

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:33:19.674448Z digest=sha256:33b1083a9e5edd4935a7899aef14b65f00148498a47d535c34f90618a336a502

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=sha256:68fdb6f9ba64a010dbe56c19f9a19fa72889f5de0fa7ef1f04f4b9d98bbf9c8e