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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.01300.

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

pith.paper-citation-record.v1
2412.01300 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:33:20.687489Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:32:02.952904Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact3
  • verified fuzzy34
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 816ec9cb-d4d1-460e-a332-5fbeebd169a5 · outbound

This paper cites Distance surface for event- based optical flow.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Distance surface for event- based optical flow

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.609832Z digest=sha256:48775428b846d59e449adbd05c746de5cf8fee93a3899cd21168d37cfadc80e2

Observation 9e57d5b1-c9ca-4803-b650-6bc4fa4f86ce · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Ace: An efficient asynchronous corner tracker for event cameras

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T04:33:22.877055Z

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 b72cc344-3d3f-4d95-8656-7ab381e244ca · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Haste: multi- hypothesis asynchronous speeded-up tracking of events

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T04:33:22.759658Z

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 221a961f-6544-446a-9ba5-6b3a329f380c · outbound

This paper cites Event-based visual flow.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Event-based visual flow

Reference 4

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raw_fallback, observed 2026-08-12T04:33:22.741232Z

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 24631e05-89a9-40ef-86fb-eb74b58fb0c1 · outbound

This paper cites A method for registration of 3-d shapes.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking A method for registration of 3-d shapes

Reference 5

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raw_fallback, observed 2026-08-12T04:33:22.726407Z

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 d58d0d05-7fc6-400b-847d-44770d879cd1 · outbound

This paper cites Leap-vo: Long-term effective any point tracking for visual odometry.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Leap-vo: Long-term effective any point tracking for visual odometry

Reference 6

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raw_fallback, observed 2026-08-12T04:33:22.710793Z

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 33fee3ea-b62f-46d2-86d0-936b358a8e69 · outbound

This paper cites Local All-Pair Correspondence for Point Tracking.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Local All-Pair Correspondence for Point Tracking

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.638907Z digest=sha256:69b74abd54efd2a79e8e81010ae61134b13bdb1447d36afef34af43f2550cb6f

Observation 3782607b-a563-4a6d-ac9a-95b0197adfea · outbound

This paper cites Spatio-temporal recurrent networks for event-based optical flow estimation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Spatio-temporal recurrent networks for event-based optical flow estimation

Reference 8

Resolution
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no resolver link, observed 2026-08-12T04:33:19.644204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.644204Z digest=sha256:862fa4e17289441f0c106dabe3ab67119ad9a844092fb681f30ff8edef22c752

Observation 1a5c8b02-1302-482c-bf06-8a2b070bb060 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Tap-vid: A benchmark for track- ing any point in a video

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T04:33:22.684779Z

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=2026-08-12T04:33:19.649065Z digest=sha256:26da68d82798b6fe91fdfcd865064ae8dd985bb1dd6603f8387f624774ac7661

Observation 7e059c8c-17cc-4272-b81f-f08c0515c9d9 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-12T04:33:22.666442Z

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=2026-08-12T04:33:19.653934Z digest=sha256:93126ae8aa3c57e8c8299c8b2dd0ef14dbfba4d3ee3a0a69f71f2b85f4b06116

Observation 60439f05-fc86-48db-a82a-bacd07c9119a · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Eklt: Asynchronous photometric feature tracking using events and frames

Reference 11

Resolution
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raw_fallback, observed 2026-08-12T04:33:22.614701Z

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=2026-08-12T04:33:19.658933Z digest=sha256:f4975f4511b9c15652ae99edd5bfc80dd01731fe95ecdd2f17b6d4f9392f9492

Observation 72b6d39e-0f0e-4923-853b-4b1864c20afe · outbound

This paper cites E-raft: Dense optical flow from event cam- eras.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking E-raft: Dense optical flow from event cam- eras

Reference 12

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raw_fallback, observed 2026-08-12T04:33:22.448058Z

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=2026-08-12T04:33:19.664266Z digest=sha256:093fef200cf984e0a5af28a662387d9aeaf8e07fc0784a0cd8e0508d2c1da3a5

Observation 2664d477-b5f3-4ce2-88a4-d54ba6901bad · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Dense continuous-time optical flow from event cameras

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.669424Z digest=sha256:306d76ba4c8b4cc9dd71488914db0ad9121d016d2a5b8ee3d02207b23440a3cb

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

This paper cites ETAP: Event-based Tracking of Any Point.

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 cfed9525-a1d4-4d1a-9a7e-e7f7774c08c8 · outbound

This paper cites Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:33:20.826802Z

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=2026-08-12T04:33:19.679403Z digest=sha256:d8b4d8b64bb1bb89bbc31b7b82e331530bdace99e45d724cf0e2183519e4f407

Observation 5b4208ab-24c1-49d4-96d6-c70029c988b2 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Particle video revisited: Tracking through occlusions using point trajectories

Reference 16

Resolution
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raw_fallback, observed 2026-08-12T04:33:22.339068Z

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=2026-08-12T04:33:19.720748Z digest=sha256:81379dee0f34e23910140c545385915584604664305688c50cbfda0c367b26f8

Observation c53a1616-1a5a-45cb-8899-577f7efef532 · outbound

This paper cites Deep residual learning for image recognition.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Deep residual learning for image recognition

Reference 17

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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=2026-08-12T04:33:19.761862Z digest=sha256:648dcf3ec01a573bb444a553198cd7bb37c5ecbe79302a2c59bd21c3f7f5baf8

Observation a0f6d582-b496-44e6-a937-e50e9ecdd780 · outbound

This paper cites Event-aided direct sparse odometry.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Event-aided direct sparse odometry

Reference 18

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raw_fallback, observed 2026-08-12T04:33:22.306105Z

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=2026-08-12T04:33:19.782354Z digest=sha256:35525e255ddb1937169916a0bf6c19176f129e849a2d0dfa23d2cbb03aa42a4e

Observation 055ed7a9-f38b-4d50-a79b-f2a2746b964a · outbound

This paper cites ecdt: Event clustering for simultaneous fea- ture detection and tracking.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking ecdt: Event clustering for simultaneous fea- ture detection and tracking

Reference 19

Resolution
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raw_fallback, observed 2026-08-12T04:33:22.192566Z

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=2026-08-12T04:33:19.831208Z digest=sha256:5056089caa32cb9250b5bfb0952fda821fd8b834bd529fc4eee1b53b3d6d73bc

Observation 241d38d6-1c52-4a92-8322-ed51c10b4a27 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.903805Z digest=sha256:27ce334d11403490ceeebc206a8bd2b9fa53635e74e22ec477d8f932e54e3a48

Observation 011d8146-efde-4a9e-88df-18cfbc6fd3b0 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Co- tracker: It is better to track together

Reference 21

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no resolver link, observed 2026-08-12T04:33:19.980694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:19.980694Z digest=sha256:47089739b8b36e6a1d3133a72502bc13afdda8249f4d9e2eb6274ce2f7c00867

Observation d6af2004-946e-402c-beeb-8c8992cb9c03 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Low-latency visual odometry using event- based feature tracks

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T04:33:21.990637Z

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 c08f8c39-cf6d-4532-b736-b5793fd37607 · outbound

This paper cites 3d feature tracking via event camera.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking 3d feature tracking via event camera

Reference 23

Resolution
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raw_fallback, observed 2026-08-12T04:33:21.970383Z

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=2026-08-12T04:33:20.146015Z digest=sha256:fa5ec779a3e7ba876d52ca4f6f6abb7c7b13011960576143a9b7bfee449a0b8c

Observation 9612aa1a-b372-4daa-8eb5-e87494399c89 · outbound

This paper cites A 128 × 128 120 db 15 µ s latency asynchronous temporal contrast vision sensor.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking A 128 × 128 120 db 15 µ s latency asynchronous temporal contrast vision sensor

Reference 24

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raw_fallback, observed 2026-08-12T04:33:21.954319Z

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=2026-08-12T04:33:20.150925Z digest=sha256:bf665b1c3e5d794b0115cbca083af1207dbc5f05ca7af59c2b77260d2b101bff

Observation fa9cda40-8ab3-4bdd-a594-c797879d6b97 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Tracking Any Point with Frame-Event Fusion Network at High Frame Rate

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:33:20.785856Z

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=2026-08-12T04:33:20.156406Z digest=sha256:8cb7e874a05d35cdda20a825177fc23f1849c7a819f9b1e12116f17bf7e05a90

Observation 2da20972-651d-4af0-af2c-3e801e87ed8d · outbound

This paper cites Decoupled Weight Decay Regularization.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Decoupled Weight Decay Regularization

Reference 26

Resolution
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no resolver link, observed 2026-08-12T04:33:20.162419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:20.162419Z digest=sha256:cb224bf8d2b792b009d29ea57088dd72612614dbca7b26127c45c9837f4bca5d

Observation 52073bd9-9876-4f99-bacf-1135be677e48 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Data-driven feature tracking for event cameras

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.939213Z

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=2026-08-12T04:33:20.167538Z digest=sha256:ee0a605d46c2221da50f2eaacbd4af7657ce0e98cfba043aa8bc855f279225d0

Observation 803f8a5f-ba9d-44ec-8d5a-eca3700de8a5 · outbound

This paper cites Data-driven feature tracking for event cameras with and without frames.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Data-driven feature tracking for event cameras with and without frames

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.923707Z

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=2026-08-12T04:33:20.173499Z digest=sha256:2de68ef24e71568a77d20afa005116d36e2da4192aa036ad9356a3bcf179b366

Observation 22c427bd-fa77-47e4-be06-93f6b4c2532a · outbound

This paper cites Fast event-based corner detection.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Fast event-based corner detection

Reference 29

Resolution
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raw_fallback, observed 2026-08-12T04:33:21.907225Z

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=2026-08-12T04:33:20.178210Z digest=sha256:1cccf6dcb766dc8e5784088916f76572bd8d2ef1a8514ea66c5ffba39108524f

Observation ac1668cc-501b-4008-98ee-4e65576213f6 · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.891774Z

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=2026-08-12T04:33:20.183603Z digest=sha256:087e84882f54a03aee6f5d4ee539a24c84354c9274f5ab2be7309f9b7b173b32

Observation 58b6e054-9fe7-4c03-9429-de9ade2b0af0 · outbound

This paper cites Tangentially elongated gaussian belief propagation for event-based incremental op- tical flow estimation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Tangentially elongated gaussian belief propagation for event-based incremental op- tical flow estimation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.874683Z

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=2026-08-12T04:33:20.189256Z digest=sha256:25bf23506ecee7febce77fa9f9b89a4e6533e820c9994b7fbedc663338156bfb

Observation 7f35875e-1834-4ef9-b875-819889f7445b · outbound

This paper cites Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T04:33:21.859524Z

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=2026-08-12T04:33:20.194572Z digest=sha256:2becb8f1441e7d387d3636eb3dea85563a5bc0239999306e6b8032d41e60ac4f

Observation 121a370d-6c53-4a77-b284-8d4b079cf094 · outbound

This paper cites FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent

Reference 33

Resolution
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no resolver link, observed 2026-08-12T04:33:20.199225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:20.199225Z digest=sha256:d2b415ac0aeca0c8f5ba6eeb9617b55c53dafd7391127019ac4c9f6a4331e796

Observation b2642f52-6116-49e8-899d-d081b993d805 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learn- ing rates.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Super-convergence: Very fast training of neural networks using large learn- ing rates

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.842224Z

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=2026-08-12T04:33:20.204798Z digest=sha256:518a257985911326603dcbbd6f02050a9750ea9c9755168e6ecfe0f15121c438

Observation 9fe5ad72-58cd-4046-8fd0-7e76a4064303 · outbound

This paper cites Learning dense and continuous optical flow from an event camera.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Learning dense and continuous optical flow from an event camera

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T04:33:20.209931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:20.209931Z digest=sha256:a6233ea46c8dca2c938e611f81e1418060c520947007f76abe79042c5cabf269

Observation eb144ff0-4608-4b3f-8e3a-8186dc191f31 · outbound

This paper cites Event-based optical flow via trans- forming into motion-dependent view.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Event-based optical flow via trans- forming into motion-dependent view

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.587142Z

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=2026-08-12T04:33:20.215637Z digest=sha256:407c8b7317457419e9dc375fcfce2538592b6497e425011f85e43bffc93f62c3

Observation d3f58ed0-7849-4684-bf39-42645c1f6ccc · outbound

This paper cites Emo- tive: Event-guided trajectory modeling for 3d motion esti- mation, 2025.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Emo- tive: Event-guided trajectory modeling for 3d motion esti- mation, 2025

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.408207Z

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=2026-08-12T04:33:20.221007Z digest=sha256:c676ab5d8c0a640066ad1531230f8f1c15e9925badb16d7ba13b72bd6d605585

Observation 7a4af773-fca3-4b2c-ab31-4793ac7f2707 · outbound

This paper cites Asynchronous blob tracker for event cameras.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Asynchronous blob tracker for event cameras

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.390205Z

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=2026-08-12T04:33:20.226649Z digest=sha256:a9ce6018d74c15aec9ebf7688d5a29d0cb205c2de22856a4533a6d0e383ac2a8

Observation e59bd3a0-84b5-4a9e-bd05-60aa22beab52 · outbound

This paper cites Context-pips: persistent independent particles demands spatial context features.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Context-pips: persistent independent particles demands spatial context features

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.374379Z

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=2026-08-12T04:33:20.232216Z digest=sha256:c0987da60870ffffd1a36a8aa47a32562597406a6cbef8841749345b90bc90db

Observation 190e892f-2433-4ee4-84ed-1152f15465de · outbound

This paper cites Event-based asynchronous hdr imaging by temporal incident light modulation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Event-based asynchronous hdr imaging by temporal incident light modulation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.358162Z

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=2026-08-12T04:33:20.237417Z digest=sha256:c80898ba6a1ef7673c0911f3f581aabd7b4a6b384184fa49fde173b08ea7a14e

Observation 1e85e77c-22de-4783-abb4-321899418863 · outbound

This paper cites On exploring multiplicity of prim- itives and attributes for texture recognition in the wild.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1):403–420, 2023.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking On exploring multiplicity of prim- itives and attributes for texture recognition in the wild.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1):403–420, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.341239Z

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=2026-08-12T04:33:20.296140Z digest=sha256:42d06072821790648a14abd0d6d39c7c957e67225a1b851f2a7516f47293c9fe

Observation 428013ec-a1d7-49e5-b7cd-39ee92b1724e · outbound

This paper cites Background activation suppression for weakly supervised object localization and semantic segmen- tation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Background activation suppression for weakly supervised object localization and semantic segmen- tation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.325030Z

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=2026-08-12T04:33:20.413012Z digest=sha256:0aa49fec6bf965b67dbdc673d4191983811cff2e030bdef599ccc4e62b63ce44

Observation 7e3162bf-356b-44c3-94a4-6a10c3140005 · outbound

This paper cites Particlesfm: Exploiting dense point trajecto- ries for localizing moving cameras in the wild.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Particlesfm: Exploiting dense point trajecto- ries for localizing moving cameras in the wild

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T04:33:20.507235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:20.507235Z digest=sha256:9e6f0338e3bc59c414b34bb458cde1eb57990fb2ef7fc82fda7b291ec1117dcb

Observation bc18c766-02cf-45f6-81cd-b1d389394a7d · outbound

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

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Pointodyssey: A large-scale synthetic dataset for long-term point tracking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.298345Z

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=2026-08-12T04:33:20.633139Z digest=sha256:143855bd00f7775731f0c60d09636bb860269262ccdf494fd0f294a213c03a02

Observation 9ab08cf4-5b42-478d-b927-f8dcfca52b99 · outbound

This paper cites Event-based feature tracking with probabilistic data associ- ation.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Event-based feature tracking with probabilistic data associ- ation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.282128Z

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=2026-08-12T04:33:20.671173Z digest=sha256:e6b23e2bb03578dc524251855683f8df165a49c2c92d76400e429b869d4ee8b6

Observation 47d24bc9-9956-4a66-a216-12ecd88e016f · outbound

This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T04:33:20.677265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:33:20.677265Z digest=sha256:e3884c40f43aa9c15b6d473538678783672b28c3a7f717fc98746c4e508ebe86

Observation c8b4ed67-a61e-44c7-ac36-29fb7eaec84f · outbound

This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Unsupervised event-based learning of optical flow, depth, and egomotion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:21.158512Z

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=2026-08-12T04:33:20.682732Z digest=sha256:a14b7dba2784dfba68bcdc0e9bd60aa36b54d8cc4466f3fd04aa174dd712f266

Observation a2c4c381-8bf7-477f-9320-51426110316c · outbound

This paper cites Ev-mgrflownet: Motion-guided recurrent network for unsupervised event-based optical flow with hybrid motion-compensation loss.

MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking Ev-mgrflownet: Motion-guided recurrent network for unsupervised event-based optical flow with hybrid motion-compensation loss

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:33:20.924416Z

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=2026-08-12T04:33:20.687489Z digest=sha256:8e21ef8c8969309c8973ef4e4cbfc75565788bc5a57ad75fbb5c5bef1ebd3318

Pith citing papers

Observation f9f761d0-3b60-4950-be3b-e82e67e69692 · inbound

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras cites this paper.

E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-12T06:32:02.952904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:32:02.952904Z digest=sha256:6831eac519d4a302d6cc93b9328476fa825e804e5429869226f765c597ec0769