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Paper Citation Record · LEDGER

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.01275.

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

pith.paper-citation-record.v1
2501.01275 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:12.153551Z

measured 42 of 42 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy32
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd01651d-dd73-4fd9-a8d6-f44fced3d9f6 · outbound

This paper cites Learning to track with object permanence,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Learning to track with object permanence,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.855232Z

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=2026-08-10T22:34:11.946893Z digest=sha256:800633f8c4b1eaf4d97c1c21d13f1b234145bad6ce39cca61fa67ccf387df435

Observation ac799a8f-ff99-4c72-b21e-518d099b558f · outbound

This paper cites Object Permanence Emerges in a Random Walk along Memory.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Object Permanence Emerges in a Random Walk along Memory

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:34:12.270607Z

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 164f1cb6-6ef3-4e30-afb3-4a36513aa104 · outbound

This paper cites Tracklet proposal network for multi-object tracking on point clouds.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Tracklet proposal network for multi-object tracking on point clouds

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.837369Z

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 a8377c3e-e58e-4a4f-9e20-b3e8540204bc · outbound

This paper cites A multi-modal fusion-based 3d multi-object tracking framework with joint detection,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking A multi-modal fusion-based 3d multi-object tracking framework with joint detection,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.819108Z

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=2026-08-10T22:34:11.963105Z digest=sha256:8cbe6944ef1f7164364b1d1f9b13032e06362bcade3c9c869116f879dc5b122b

Observation ac61cdcc-9a61-40ce-a6d2-983e5afcf472 · outbound

This paper cites Finding and tracking people from the bottom up,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Finding and tracking people from the bottom up,

Reference 5

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raw_fallback, observed 2026-08-10T22:34:12.801145Z

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=2026-08-10T22:34:11.968283Z digest=sha256:c1ca4a413115cd62248efe785fcb7599ffa1ea8fb8318f772db30668864e6fc4

Observation 21694396-2f06-4276-8316-9627b3ad1c7e · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.785116Z

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=2026-08-10T22:34:11.973688Z digest=sha256:6cecafdbc05980143cec60713d97218e34ffef8188e2a81f53e3cd50b562d440

Observation 817b0111-37b2-4e34-bf79-79bef9fb66d1 · outbound

This paper cites Virtual sparse convolution for multimodal 3d object detection,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Virtual sparse convolution for multimodal 3d object detection,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.768786Z

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=2026-08-10T22:34:11.979868Z digest=sha256:e7545b4f748a6684b5549a8565ca584ab397e12e9ba5eb86eec9ccf9dbb1658e

Observation ac52ff52-5162-4d3a-8370-89b054b3fb7b · outbound

This paper cites Casa: A cascade attention network for 3-d object detection from lidar point clouds,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Casa: A cascade attention network for 3-d object detection from lidar point clouds,

Reference 8

Resolution
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raw_fallback, observed 2026-08-10T22:34:12.750787Z

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=2026-08-10T22:34:11.985998Z digest=sha256:72fccb4587d61f8d390065a3b86afa8816b0f4f66befff5d7e6b16bb8454afe8

Observation a9678770-2d81-4401-bbe8-444c087c70f8 · outbound

This paper cites An introduction to the kalman filter,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking An introduction to the kalman filter,

Reference 9

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unresolved
no resolver link, observed 2026-08-10T22:34:11.991012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:11.991012Z digest=sha256:464d281172f42558b1432533f97cad7c20f46e832ebb9bee08918b03bd53ecd1

Observation 47b936bf-b6a9-4f3e-97a1-272a0c4b3f59 · outbound

This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Bayesian filtering: From kalman filters to particle filters, and beyond,

Reference 10

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unresolved
no resolver link, observed 2026-08-10T22:34:11.995839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:11.995839Z digest=sha256:777c3726e69571eece4ab9c477faf1baf4e8b6547213818eb33bc1c3648c3bd1

Observation e8268fd5-daf2-4659-a823-b2a825eadfe3 · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.711735Z

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=2026-08-10T22:34:12.000595Z digest=sha256:39720762672095d3783d1612ee8eb34386cb7dad7b7fa90ced6464e13ee2e905

Observation 6dcb8cab-856d-454d-904e-cf96cdbf6338 · outbound

This paper cites 3d multi-object tracking in point clouds based on prediction confidence-guided data association,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking 3d multi-object tracking in point clouds based on prediction confidence-guided data association,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.695293Z

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=2026-08-10T22:34:12.005394Z digest=sha256:ce60abb3a801e31552ea4ad0a14814e402097cf4fd62763ec68ac2e1660cda30

Observation aef997c7-7ee7-4b89-8981-a858669b4738 · outbound

This paper cites Observation- centric sort: Rethinking sort for robust multi-object tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Observation- centric sort: Rethinking sort for robust multi-object tracking,

Reference 13

Resolution
verified fuzzy
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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=2026-08-10T22:34:12.010447Z digest=sha256:387a3a51543b74f5eae30483e339764151af727cfc3f7da800ca8120bedc4f6d

Observation 87122b21-2891-4a87-be38-4d6ca78ca408 · outbound

This paper cites Camo-mot: Combined appearance-motion optimization for 3d multi-object tracking with camera-lidar fusion,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Camo-mot: Combined appearance-motion optimization for 3d multi-object tracking with camera-lidar fusion,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.663593Z

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=2026-08-10T22:34:12.015147Z digest=sha256:ffcbd74d07d1b0d16d764068eb89fe98d48abaa14995e1b3839737e5fc059cc9

Observation e4758630-f1e5-4e3f-9709-8de25d6c3687 · outbound

This paper cites A novel adaptive noise covariance matrix estimation and filtering method: Application to mul- tiobject tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking A novel adaptive noise covariance matrix estimation and filtering method: Application to mul- tiobject tracking,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.647152Z

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=2026-08-10T22:34:12.020220Z digest=sha256:2689f37345b0c7dbe7c9b1d93ddd416ad03bbad23f3731a7b77d75f3070585fe

Observation 840c5151-8821-438b-89a3-c131e1c9cf4e · outbound

This paper cites Qdtrack: Quasi-dense similarity learning for appearance-only multiple object tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Qdtrack: Quasi-dense similarity learning for appearance-only multiple object tracking,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.630774Z

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=2026-08-10T22:34:12.025245Z digest=sha256:571da8214c55179ca8c9c848b3d3f74414414bdabff06397df5d727a670f9068

Observation 8b2d4be1-8a93-4b0b-a994-de26ec711419 · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Simple online and realtime tracking with a deep association metric,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.614561Z

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=2026-08-10T22:34:12.030019Z digest=sha256:2b0ae033963eada4dd01ccd0ff30a558f21d0618363dc51e4b0cb2c8a40fb940

Observation 41a3d175-9e39-4e69-8503-ea900d0d08a4 · outbound

This paper cites Monokalman: Monocular vehicle pose estimation with kalman filter-based temporal consistency,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Monokalman: Monocular vehicle pose estimation with kalman filter-based temporal consistency,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.597989Z

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=2026-08-10T22:34:12.035156Z digest=sha256:b907f6f7cbca6a1d137621fcbba64ac9ac9f889cf45ed9f3232141775e2890b0

Observation 9a6b6a48-deef-448b-a1e9-b1bc848c65ce · outbound

This paper cites Mono-camera 3d multi-object tracking using deep learning detections and pmbm filtering,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Mono-camera 3d multi-object tracking using deep learning detections and pmbm filtering,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.582329Z

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=2026-08-10T22:34:12.040169Z digest=sha256:a1a3683a4229ce9e7d5f16b026d57d1f21b951ba80378b7dbcf91ebe5e466e84

Observation aff4413e-95f5-4d1c-a329-52f6780505c8 · outbound

This paper cites Ucmctrack: Multi-object tracking with uniform camera motion compensation,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Ucmctrack: Multi-object tracking with uniform camera motion compensation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.566913Z

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=2026-08-10T22:34:12.045005Z digest=sha256:e437f3c7df8be3c2051b6022899cb15daa8f8ae1dfc7294864e79974271715b6

Observation c014a8c5-ca4b-42c1-8f5e-e46db15a4336 · outbound

This paper cites Pmtrack: Multi-object tracking with motion-aware,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Pmtrack: Multi-object tracking with motion-aware,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.551766Z

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=2026-08-10T22:34:12.050306Z digest=sha256:a4008cf148e50aaad07205f131ef328da7aefd3ad2b10e49ab8f969d86ad074d

Observation 4bd57259-7dbd-490c-a2b7-8b84fcf6f66f · outbound

This paper cites Exploiting multi- modal synergies for enhancing 3d multi-object tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Exploiting multi- modal synergies for enhancing 3d multi-object tracking,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.535804Z

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=2026-08-10T22:34:12.054922Z digest=sha256:cd8141ecf62a7803d0ce0bb8cd2120ba8471e4cc2f63126a2868ce8e26855240

Observation 28579b26-b50f-4d20-8105-d5f0b21040e1 · outbound

This paper cites BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:34:12.248092Z

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=2026-08-10T22:34:12.059671Z digest=sha256:86c5926bfc1ba417f7fa57980c8d90e28f8ee82e3c2943ae3542e03ebbc747be

Observation f3bfda93-7a6c-47dd-b556-90cc8fc11859 · outbound

This paper cites Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:12.064670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:12.064670Z digest=sha256:78fff24f2899f733e713b60f75df335800908f741b938524c8666874d37d6165

Observation e1dc7697-f46a-488b-a590-d1509aa609d8 · outbound

This paper cites 3d multi-object tracking based on informatic divergence-guided data association,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking 3d multi-object tracking based on informatic divergence-guided data association,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.519134Z

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=2026-08-10T22:34:12.069591Z digest=sha256:2bded17b141b079a52ebcc26300308df77d999dc002e29cdd00a3da9b4da1ef3

Observation 7d6ee8e8-a734-48af-bb9c-ff539c46181c · outbound

This paper cites Deepfusionmot: A 3d multi-object tracking framework based on camera-lidar fusion with deep association,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Deepfusionmot: A 3d multi-object tracking framework based on camera-lidar fusion with deep association,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.502258Z

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=2026-08-10T22:34:12.074386Z digest=sha256:3017b5a036eed60dae42757c3fc874f87a5ecf2062b6dcc7ddadd25600d00ead

Observation 4bffe796-77ce-453d-9323-d441c274041a · outbound

This paper cites Triplettrack: 3d object tracking using triplet embeddings and lstm,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Triplettrack: 3d object tracking using triplet embeddings and lstm,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.486280Z

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=2026-08-10T22:34:12.079051Z digest=sha256:bd20cba0e54b70495fcca00551e562a097cc2636e120894c65a6d44b71fe4319

Observation b13d5388-5291-4e89-a664-87b86844c1cd · outbound

This paper cites Apptracker+: Dis- placement uncertainty for occlusion handling in low-frame-rate multiple object tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Apptracker+: Dis- placement uncertainty for occlusion handling in low-frame-rate multiple object tracking,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.469800Z

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=2026-08-10T22:34:12.083781Z digest=sha256:84ea37b1906750bb0224fe6061dda69107fbb51acb5cfe8c94e48b34838097f6

Observation 4954127b-f1c5-4b2b-bee1-ed3ce63ca9ac · outbound

This paper cites Dino-mot: 3d multi-object tracking with visual foundation model for pedestrian re- identification using visual memory mechanism,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Dino-mot: 3d multi-object tracking with visual foundation model for pedestrian re- identification using visual memory mechanism,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.451016Z

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=2026-08-10T22:34:12.088852Z digest=sha256:77aea7d8c7b18a01323c6611cde4ad3e99e288fd5769f1f2e034303a359ce6ac

Observation 32dc6985-a30c-4bc9-8f28-c84484e6ba39 · outbound

This paper cites Polarmot: How far can geometric relations take us in 3d multi-object tracking?.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Polarmot: How far can geometric relations take us in 3d multi-object tracking?

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.434267Z

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=2026-08-10T22:34:12.093664Z digest=sha256:3fc602cb79e279160e8f0ecac81fd1e2e075c7e7e44aa1d093d3a3d29ea85e46

Observation a05b7e3b-9e36-4c40-9a2c-f4ef31bc0176 · outbound

This paper cites Towards robust reference system for autonomous driving: Rethinking 3d mot,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Towards robust reference system for autonomous driving: Rethinking 3d mot,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.417234Z

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=2026-08-10T22:34:12.098507Z digest=sha256:7e1433e993383626d330488489588e1d1e6e16c0256d22f3d40661037dceb764

Observation d522b943-f422-41cf-87f1-f6c4e253832d · outbound

This paper cites Enhancing geometric factors in model learning and inference for object detection and instance segmentation,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Enhancing geometric factors in model learning and inference for object detection and instance segmentation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.401325Z

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=2026-08-10T22:34:12.103369Z digest=sha256:3bb1338452ef6c292dc51741d0f1089ab3203be045bf03b20f89a5212be7cf01

Observation 2a62b425-efcd-4e1b-aeeb-6e43fd7759a3 · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Kalmannet: Neural network aided kalman filtering for partially known dynamics,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.385155Z

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=2026-08-10T22:34:12.108330Z digest=sha256:fbaf0f702013061d9ea9be9075c038cbd736fa48de720035e91a03415f3296ec

Observation 87d54dcd-bf3e-4853-b3f6-79e884d32023 · outbound

This paper cites Finding structure in time,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Finding structure in time,

Reference 34

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Observation 67654910-2909-4e58-aeaf-6790a7dec903 · outbound

This paper cites Pnas-mot: Multi-modal object tracking with pareto neural architecture search,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Pnas-mot: Multi-modal object tracking with pareto neural architecture search,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.358035Z

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

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Observation 6d3fbef0-81c2-42b1-aaf0-0fa73f248a7d · outbound

This paper cites MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Reference 36

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no resolver link, observed 2026-08-10T22:34:12.123270Z

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Observation 7f3b867d-a3e6-47fa-a86d-2b025ef2aa04 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 37

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source=pdf_text observed=2026-08-10T22:34:12.128922Z digest=sha256:a3ffe27c907b7a6d0df489fa0ab13542d1096454ee25be35a7d6625c64bd10f0

Observation 9ab05b7f-749c-4b63-94de-1736f73acf5c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Adam: A Method for Stochastic Optimization

Reference 38

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no resolver link, observed 2026-08-10T22:34:12.133991Z

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source=pdf_text observed=2026-08-10T22:34:12.133991Z digest=sha256:facf233ce7fe23461b3dc0d4287911f59a7b48183445e263102cceaa261eb3d0

Observation b42c5f7d-8c4d-407e-8cbf-e7856f859c36 · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Hota: A higher order metric for evaluating multi-object tracking,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.330948Z

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=2026-08-10T22:34:12.138988Z digest=sha256:076acc99748c57cd7f770e317d955f0caa8a24c672e46fc239b43beedb588bd5

Observation dac4e6a8-941d-4dc0-8501-17d6122aab83 · outbound

This paper cites Evaluating multiple object tracking performance: The clear mot metrics,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Evaluating multiple object tracking performance: The clear mot metrics,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.314601Z

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=2026-08-10T22:34:12.143754Z digest=sha256:230215867ae36b5d0c8acb32e514a96ddbf2e940a1cf2298c52916a6756c9169

Observation dfbd610b-ec3a-4ce4-b8bc-99a36b820e5f · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Performance measures and a data set for multi-target, multi-camera tracking,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-10T22:34:12.297964Z

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 63ad949e-fb64-4945-9142-30ca56187db4 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking Second: Sparsely embedded convolutional detection,

Reference 42

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no resolver link, observed 2026-08-10T22:34:12.153551Z

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Pith citing papers

No inbound Pith citation observations are available.