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Paper Citation Record · LEDGER

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking

As of 12 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 2026-08-12T06:34:41.77262+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
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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=2026-08-10T22:34:11.946893Z digest=sha256:ae93ef09461ec5d67b9c540fec246130af78ba74a4af08ee30e6f3a14b5c38bf

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

source=pdf_text observed=2026-08-10T22:34:11.952364Z digest=sha256:c63d52aa034cb620a16dd1e90fb5659a7247739c7aa6f7f76ebc217d1d1a7248

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

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

source=pdf_text observed=2026-08-10T22:34:11.957954Z digest=sha256:d47e290877a53e56e01567369c908c4267d574e3dc86a57723a87053b066bc3b

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

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

source=pdf_text observed=2026-08-10T22:34:11.963105Z digest=sha256:218fe481b3ddb2c36826b3a5256aa5416da8b164d4cb44d9229e4fc9c2c5c020

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

Resolution
verified fuzzy
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:34:11.968283Z digest=sha256:0a98aa34cd5ab03c3a9f528a526dd0d414afe9a9afb43302e7122bd843d11514

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

source=pdf_text observed=2026-08-10T22:34:11.973688Z digest=sha256:3ecc32bddb29dda3fa942475b0a6873605ea7f0a4147470b99e1ff690a6a03f4

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

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

source=pdf_text observed=2026-08-10T22:34:11.979868Z digest=sha256:81ef92439797e6b31354398e07973df760d4ce169c657ea8cfa1d4eee2716d3a

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

source=pdf_text observed=2026-08-10T22:34:11.985998Z digest=sha256:0a40e6483df5f5e3ff19f4bed197f24bed3fb2f64a09295562bf086319e75ec7

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

Resolution
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

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

source=pdf_text observed=2026-08-10T22:34:12.000595Z digest=sha256:bd1a8189010dae889e8136eea96fc575ae112a5bccd8a84df87374a8d3491acb

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

source=pdf_text observed=2026-08-10T22:34:12.005394Z digest=sha256:aafb083c5c3a018220e92883cc584417b3e0dbcd60ccaf8e32bf7c11dcf5c448

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
raw_fallback, observed 2026-08-10T22:34:12.679147Z

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=2026-08-10T22:34:12.010447Z digest=sha256:8f325a28b6a58e9708d0864fb64c4f9261d262d6814b6e300333ca5c70a48e09

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

source=pdf_text observed=2026-08-10T22:34:12.015147Z digest=sha256:512c145f7bfd51a9170ff441434205c24e51292e6220462c27404e473246a932

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

source=pdf_text observed=2026-08-10T22:34:12.020220Z digest=sha256:61a07629b7f511d85a217ecea31d2d2ddc5f039cea25e187a000f373fbd3a91f

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

source=pdf_text observed=2026-08-10T22:34:12.025245Z digest=sha256:0cd99cf37e3863971f16cbf00f13eae3625260ed2d0cc84023742c20317aefed

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

source=pdf_text observed=2026-08-10T22:34:12.030019Z digest=sha256:3a9f27bba319a565f5cf9c44bf3ca82ed6aa20527e2def9133d7d47cee57bb62

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

source=pdf_text observed=2026-08-10T22:34:12.035156Z digest=sha256:9501d25f780826e0c67e7453fe11839bf36a67c04fcfc1eea83111f71fb26e47

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

source=pdf_text observed=2026-08-10T22:34:12.040169Z digest=sha256:b8e5a4af340dff37f6bf3745b69ae49560dbb4b9bfec1f42dc667c907a377063

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

source=pdf_text observed=2026-08-10T22:34:12.045005Z digest=sha256:dedaeddddcbcb63ff742376595444d1ecd2720eb1678f5c337b4edb5e6e06ad9

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

source=pdf_text observed=2026-08-10T22:34:12.050306Z digest=sha256:7973bb50db1f3f7eeb59b0f6793cf306505a68c05e72b45168c0bbac227d602d

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

source=pdf_text observed=2026-08-10T22:34:12.054922Z digest=sha256:da30ddcee9f7fd01a33565908d038d0df7c330ff6066278a355a106ac22211f7

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

source=pdf_text observed=2026-08-10T22:34:12.059671Z digest=sha256:6ee0d6e8c58ccd19ce24ac99246ce02f2501fea598064955211eb864ec2a6981

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:b3061f739dc8eef186cfff125925ee85d2f6e2647ec3744f2ee7155351cd58d8

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

source=pdf_text observed=2026-08-10T22:34:12.069591Z digest=sha256:7def868ba32c9db74f5821640428f51cf0a7c7123c1072796bb8e7459f539f42

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

source=pdf_text observed=2026-08-10T22:34:12.074386Z digest=sha256:30dbb8ca7e04367a788f6b3f87c3a585662f8a1141a45577eb16a63d4cd1656f

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

source=pdf_text observed=2026-08-10T22:34:12.079051Z digest=sha256:3aee6f4f9652fb65450ddae6a361b70a0295175790ef89c9237aa3d15eddf687

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

source=pdf_text observed=2026-08-10T22:34:12.083781Z digest=sha256:c35ba832057893d981664bb15922e3d56e018abfc9c55650c594649c0b401f9a

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

source=pdf_text observed=2026-08-10T22:34:12.088852Z digest=sha256:cd701a46838f6538f833819a6a48e433cdaceac17b82e6422a47f0d88ecfb908

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

source=pdf_text observed=2026-08-10T22:34:12.093664Z digest=sha256:c03ad522b7c24503d676af10bcbbed0bf1e8f857acd1a38b7431eea018638ca4

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

source=pdf_text observed=2026-08-10T22:34:12.098507Z digest=sha256:a731bd5481090870d385a2fd01b2cdf7ce0b8d4a676639aba8615d3d4604586a

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

source=pdf_text observed=2026-08-10T22:34:12.103369Z digest=sha256:ec394e3dcf5a3696855f6be5e7ee8e2440c69e6fd5e184979bd9db666fd0a05e

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

source=pdf_text observed=2026-08-10T22:34:12.108330Z digest=sha256:1176603460fba52d229396b54571e4dd0c3bc5f6f3b910cba1a823e98494942f

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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unresolved
no resolver link, observed 2026-08-10T22:34:12.113471Z

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source=pdf_text observed=2026-08-10T22:34:12.113471Z digest=sha256:9a8b6ca85830594a2fd85143a8db3ff25b2b4fb819062ad3c84312a41fade05d

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

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=2026-08-10T22:34:12.118359Z digest=sha256:46eb6748a8b18e1be0433a33efea3620f2de21cc6b19de7aa19d88a0787ea0e5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:12.123270Z digest=sha256:bb7c5b099f86dc4c016b23e9d1a4b4266aef002a3269fd7463d2c66aa7bde327

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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no resolver link, observed 2026-08-10T22:34:12.128922Z

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Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

source=pdf_text observed=2026-08-10T22:34:12.138988Z digest=sha256:8f1799d93fa9c789b6f4d0979d9d2a63d559dd73fa226a16a204475c15ec90ab

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

source=pdf_text observed=2026-08-10T22:34:12.143754Z digest=sha256:eb1b3c0af68e02b708976d37eb6376abe588e0914187b1c395ff6e51e1f12adc

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

source=pdf_text observed=2026-08-10T22:34:12.148843Z digest=sha256:1eb87ed0c5c453144ac81979274de72e9bc87e32811a9655561844d0acfd941b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:12.153551Z digest=sha256:7396a528f574c795dc1ea7008fb1be07d3ee427ea44076b2bbaefbb01e9331b1

Pith citing papers

No inbound Pith citation observations are available.