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Paper Citation Record · LEDGER

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking

As of 19 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.946893Z digest=sha256:0a98a0381fa4f1481ff94322828fb3d77736b2cd4429c71ee620da7122520c6c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.952364Z digest=sha256:1258eee4a0665129fa175e746340df83fbeb122928e895b320195beb3df17f58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.957954Z digest=sha256:3981b4cdb416bed64ebb261b45de34ade5b7cd7e7500375b5d551fce6754c2f6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.963105Z digest=sha256:04c367f70350e2b404f524a29767d199881e0bd3ef0a18c866e4fb4e1453b696

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.968283Z digest=sha256:13877d3c6197c29cc0478e5f84d854c86c8092d447794e03474f98c3128c70f6

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.973688Z digest=sha256:e0ba8dd466e1b259a37a0e69da1fd59f8058a458ae82f2ec9056c71d504f429e

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.979868Z digest=sha256:ff5edee37e81483bf1ab183b135138e74057a5ab3248e353449270629cddd618

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:11.985998Z digest=sha256:1e0901e73b6e7f1c486bde947871d2849ea0eb0afbc0a07eb0f1db8dda52de0b

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=sha256:7375b9f60114099b9e9bbc92a08ea454d11f21e740f5bbd54c070054d6655c1c

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:ad69734f970ad2d47370a71bb7d5973006e5fef67e775d0f063bda13278b7c58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.000595Z digest=sha256:f6b206fcb5d5bc7f797428e0820eee2a8e98e9ef3c51ebe6f43e2b86d5c306c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.005394Z digest=sha256:b863c3f6c905b1a9fb1f0c4134a91d75a3385ab8628dc630b3abd6ac7f16c791

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.010447Z digest=sha256:d8ece39637d279682b1cbb478e61f64578a6219c1decdb86908828176d3b5131

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.015147Z digest=sha256:9bba5e94a7b0e5db13b5bc58a9c5bced094c5ed0ca59ef6d3701b82ce4583f9b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.020220Z digest=sha256:3cc9bdd52149f56089dd7d716d0b6e8964a52ccba944ae9d6be976f77f983d13

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.025245Z digest=sha256:c767b9859cab9590eb430b47aa78da7e4dda25fc50729f1eb92375c95e7be6da

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.030019Z digest=sha256:632498a00fc6c3d96106c54e7d688b783ab42bdabb2d68855dca4e19f3d6736c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.035156Z digest=sha256:21e31a2cc162c8718a830363f70ee881e999b19dba52e7181107b706e440c1a5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.040169Z digest=sha256:96b8868091a77e3a3f4988f0837f177f82a2a7e45b0d41e4af7aa2ac0dd8156c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.045005Z digest=sha256:1756c8fa03752f458f413be8beb50c936b81c3d3b9f1da4a9e0dbe90541764a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.050306Z digest=sha256:aee8180616036998102446084f25406346494709f47e0275bf0c0af6f871c2b9

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.054922Z digest=sha256:4a710a9dfcb0e7bd96527c8a0287787a2d00e4e184a00c88c2aa4c8df0d21d63

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.059671Z digest=sha256:0bfa245c461aecbc022304f8ace25ff2482e01096c1386a78318ea371e767749

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=sha256:28b7dec57a2619e01c9ca3e4a70b4c722512d70f21f6affa1c437858b9972f5b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.069591Z digest=sha256:f8b1f5b5f13bf7e6e5ceeb7f8aad4497112d7d93149b58c2723f31f974380d3b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.074386Z digest=sha256:19502e956b15855690ed40de488f63baaf54d07b763d371c7a991ebaca6ad26e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.079051Z digest=sha256:66f04fb36f3ca2b8f159c551ec12edb8c8d5a6963f239d50b23b4a9f10a151f7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.083781Z digest=sha256:d2d8a32ea2568a57f90b096ef09f3af77a9249225112e7e388009c448f30aab4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.088852Z digest=sha256:6fdb759ed2e42dfa294826fce0e486345dc2339086805b0e762fa5d20b78dbb3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.093664Z digest=sha256:ad315dcd7f1c5a8e0373bb95b62a7e009c7fa110701482d04620c25d8210a440

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.098507Z digest=sha256:b38222a0f34807df5be704cb9c012737f55765fce1e254a91b60fdf19b27c0c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.103369Z digest=sha256:7e312af7c6faf3331185e15f99caffcf4b6b025a488a47b874e2aaf89b0d47f5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.108330Z digest=sha256:018960453a024c0c54fa50798f0b4954a0425c02b5e7b6960814874cc2ed97a2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:12.113471Z digest=sha256:bd41c745a7ea3fe5357a02beed0827f2176827e595acc8c60263138980541c49

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.118359Z digest=sha256:fb2df2decfcf040786b41ca2963b8e823bf29a9c3d1c42973679c6a0ce6f4ad1

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=sha256:5e6e6481a80d24d17096e9c8f36976a0da049d8970c00078eebbae4ba44a403e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:12.128922Z digest=sha256:7847d0b2c99bfd2f43bb7df46a7a09c74aa1b401bd22eeb148032434b8092357

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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unresolved
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=sha256:9f9320b1912f450dbb76bd6f9adbbd26274936383e9295f1fc3b87df13e953a8

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.138988Z digest=sha256:2002afc472b03beb88e7ca0e7947d6d5325323c1023acfd2824a2400b43c365c

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.143754Z digest=sha256:11e312a956ebc12e1ae7a7ed4b2b2c10ff363fbad02a41107ac334b3bf865717

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:34:12.148843Z digest=sha256:153076f6da4445c2d10332a5e5dac7a9b738f96677372e46abb5593f2aac3303

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:eb320a217c4d2acf8cd9bf07b17597ed90127873b9f60b77d1f1da14ea854839

Pith citing papers

No inbound Pith citation observations are available.