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Paper Citation Record · LEDGER

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios

As of 21 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2507.02479.

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

pith.paper-citation-record.v1
2507.02479 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:50.948837Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 836fdf11-9d33-4faa-8226-f3d983aedfa8 · outbound

This paper cites Simple online and realtime tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Simple online and realtime tracking

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.543781Z digest=sha256:7ac577f3e2f8621259e991203b8dbdad3591cd8fa1c12d242ee7edf5e7c29fa1

Observation 837462e1-aeb2-4604-9854-060658658b25 · outbound

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

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Simple online and realtime tracking with a deep association metric

Reference 2

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no resolver link, observed 2026-08-06T20:31:50.638471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.638471Z digest=sha256:770842c6a54ebffd15fcce518ed4c65077b75f61284f5e0bd71ad4e03a00b639

Observation 8142b107-f77f-4a47-8ce6-8a206f8b670e · outbound

This paper cites Foundation model driven appearance extraction for robust multiple object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Foundation model driven appearance extraction for robust multiple object tracking

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.950975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.697294Z digest=sha256:a4a3dabab424d07729ebe7023ae3418350f661ac77ec1c74462b93667ccdc930

Observation 83bd1200-48b5-4cc7-800d-5149f8ef51a3 · outbound

This paper cites Memot: Multi-object tracking with memory.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Memot: Multi-object tracking with memory

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.936388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.702396Z digest=sha256:59ed29c1e18571d44b33b10851c732786de1965b0dfc4fb8a82f587ecc002e3f

Observation b563b322-cf09-4a43-bde2-c854dfa3532f · outbound

This paper cites Track- former: Multi-object tracking with transformers.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Track- former: Multi-object tracking with transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.921971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.707196Z digest=sha256:98b7a50152b3f7f1c00a211d065077a1efe8f31b797f385252a8ea780caedf52

Observation 57c75507-e201-4097-9df3-82a94d343cba · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Bytetrack: Multi-object tracking by associating every detection box

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.905866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.712204Z digest=sha256:3ea7ab74b5941deae03df11843bb3a7853d152a20f26857a2f9ec1aa4849c643

Observation 985a1ba5-3e61-43cd-8fef-0cac67bcc599 · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Fairmot: On the fairness of detection and re-identification in multiple object tracking

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.890666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.718028Z digest=sha256:8e42651470d3e9363c9083c5e2a94fe5e673a2d45422dc625af96d3adc7ac9c4

Observation f5e7a644-e200-4c70-8136-14f471a74aec · outbound

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

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Observation- centric sort: Rethinking sort for robust multi-object tracking

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.876043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.722623Z digest=sha256:117178a70d415a1887922ad90421fb3fc17909756e993b9a2d1509631de98f0a

Observation b959836f-f91c-4783-af23-ceb3aa93e7f2 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.727224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.727224Z digest=sha256:ee5487e631392becb147b29e9742b8e1770441bd59c46b078717559af085f7ea

Observation b455bbad-558d-4e38-b7d6-897ea1afe339 · outbound

This paper cites Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.860723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.732483Z digest=sha256:5946928e84be868ee88c193b3fa381b54306149591c25ebae5e8c855cf08205b

Observation 53fc0ced-f7f7-4bfc-9b61-63558e1388a7 · outbound

This paper cites Denoising-mot: Towards multiple object tracking with severe occlusions.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Denoising-mot: Towards multiple object tracking with severe occlusions

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.846651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.736906Z digest=sha256:6ae41366dd94b2afd06e704377c996774b409968b8ddc94d06187914bb9dd659

Observation 2e3aa64c-781b-4ce2-910c-a89159a46273 · outbound

This paper cites TransTrack: Multiple Object Tracking with Transformer.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios TransTrack: Multiple Object Tracking with Transformer

Reference 12

Resolution
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no resolver link, observed 2026-08-06T20:31:50.741219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.741219Z digest=sha256:507888f2fa1e0200492e102784b34f19b29e572dce5ad3ecf04df84a3e67165c

Observation 3fd55d35-411a-4a3c-befe-3525422b9ed5 · outbound

This paper cites Yolox: Exceeding yolo series in.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Yolox: Exceeding yolo series in

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.832049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.746104Z digest=sha256:46ae39f5755248c78664eac4ece1d3c70ce450a0fe245f87db25a84d8cb69d1e

Observation 72821f5a-a70f-40fc-96f7-a280987e397f · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 14

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no resolver link, observed 2026-08-06T20:31:50.755622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.755622Z digest=sha256:a0ee6dd0daa7d08be51d02265538a4eb024c1205670e7cbbbef5c20589833d33

Observation e06a00cf-75d4-4692-b23b-7ed0267e9caa · outbound

This paper cites A new approach to linear filtering and prediction problems.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios A new approach to linear filtering and prediction problems

Reference 15

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source=pdf_text observed=2026-08-06T20:31:50.759510Z digest=sha256:9a68edd43201525ffcba92c46344712e2c87b67eb8d466199c632df8b2429b64

Observation dc018ec7-fc4b-40a5-895d-009307cfc056 · outbound

This paper cites FastReID: A Pytorch Toolbox for General Instance Re-identification.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios FastReID: A Pytorch Toolbox for General Instance Re-identification

Reference 16

Resolution
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no resolver link, observed 2026-08-06T20:31:50.763940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.763940Z digest=sha256:9f855516a76261c04e7becbcdc1d50bedf1e30e350c1662784be9c05dae8cffb

Observation 5a52674e-e047-46cf-94e1-d2d14f50d09c · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios MOT16: A Benchmark for Multi-Object Tracking

Reference 17

Resolution
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no resolver link, observed 2026-08-06T20:31:50.768806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.768806Z digest=sha256:555e6d88a08c7aeca4a64e6baaea8c641cda138d2bf4f4bce523296e0f38fa9f

Observation d056222b-f4b1-401b-a141-7a3df1373026 · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios MOT20: A benchmark for multi object tracking in crowded scenes

Reference 18

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no resolver link, observed 2026-08-06T20:31:50.774169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.774169Z digest=sha256:3fa6e00dee15c60583007b6b709d64668d390f9e03bf3e1204a8a7a3ea3cc766

Observation 43a3fbc3-5237-462f-81aa-aa52472f7857 · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.778880Z digest=sha256:2f9c2b26ce38f38c6d3703c980bc7a6f110e0ecc2626fb933c0f7600cc85a771

Observation 41de0214-f3a5-45e8-b394-066e0ec5e193 · outbound

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

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.783841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54bf4d39-b2b6-4b05-a9d7-9b73a5592da3 · outbound

This paper cites Dance- track: Multi-object tracking in uniform appearance and diverse motion.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Dance- track: Multi-object tracking in uniform appearance and diverse motion

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.786191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.788104Z digest=sha256:348e6fa706105eedff8eb9f36bb9674c4c8bed6915648bf3d1605b562d095b4d

Observation 1ab9d817-b132-4e77-81a8-beefca83e7d2 · outbound

This paper cites Sportsmot: A large multi-object tracking dataset in multiple sports scenes.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Sportsmot: A large multi-object tracking dataset in multiple sports scenes

Reference 22

Resolution
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raw_fallback, observed 2026-08-06T20:31:51.770327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.792093Z digest=sha256:a41222adb54a61ca7c12d9df9223cb4ecf874cd514ca3651298bcf9020685115

Observation dbc2e9f0-c11f-4539-ac51-4251c98101b3 · outbound

This paper cites Ovtrack: Open-vocabulary multiple object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Ovtrack: Open-vocabulary multiple object tracking

Reference 23

Resolution
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raw_fallback, observed 2026-08-06T20:31:51.754720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.796123Z digest=sha256:a1b62c330044a90081e3a0cf9892fbff6d6d7a1f09fa172dc1980b4c3899f6e4

Observation 2e3e577e-eeef-4ace-ae38-8cf906824d57 · outbound

This paper cites Matching anything by segmenting anything.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Matching anything by segmenting anything

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.739889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.800272Z digest=sha256:06b6b3fe9fb5c6532d8d2eb0e8fc028b67c071ce6aa256474b003fa2e900764a

Observation 98e2d71f-faeb-4b5d-8d77-83d50ca98b2e · outbound

This paper cites Attention is all you need.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Attention is all you need

Reference 25

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source=pdf_text observed=2026-08-06T20:31:50.804791Z digest=sha256:df85b23a1c6dc4b837d7376d68f68bb4c5b3e14c0ecacb470b87d1d31f0b0789

Observation 8a6c9008-229b-4e85-93a9-6b1b1c0f3acb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 26

Resolution
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no resolver link, observed 2026-08-06T20:31:50.809076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.809076Z digest=sha256:165a350067cc74b98e657fb0adbb5e1cafead91715a0a12b2862653a292cedbb

Observation 6d4dd56d-86a5-477f-8605-c28043bca1b5 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 27

Resolution
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no resolver link, observed 2026-08-06T20:31:50.813314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.813314Z digest=sha256:1a8e91b9f7c7e021ff3bddb58af3454ece85ad09843ada0ab2d768ae4b9ad497

Observation 3e8b2ac7-5485-4de4-97c3-df392a7109cb · outbound

This paper cites End-to-end object detection with transformers.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios End-to-end object detection with transformers

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.714153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.818739Z digest=sha256:7ac90789f272b5956bc2ba082c2d981bce45b6cc72b775380659636b250169d9

Observation 4d9d7b4b-3205-41de-b7a1-b1a2711a1350 · outbound

This paper cites Object-centric multiple object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Object-centric multiple object tracking

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.699863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.823331Z digest=sha256:762a67b0412988680c1ffca50eba7e8041f974d2906ee4dd0a28aa7fe252d3fc

Observation b380bb64-edf0-4daf-8dca-fab4dcf66687 · outbound

This paper cites DiffusionTrack: Diffusion Model For Multi-Object Tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios DiffusionTrack: Diffusion Model For Multi-Object Tracking

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.827863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.827863Z digest=sha256:2151201391a9674d5c0f3ed1623f8f8c9351d1b73cd3ea70b8105a91dbc5ff64

Observation f164019d-bab7-4f56-b8b3-46349865916a · outbound

This paper cites Segment Anything.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Segment Anything

Reference 31

Resolution
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no resolver link, observed 2026-08-06T20:31:50.831965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.831965Z digest=sha256:21dbb38cbbc71a4a40874c33d011eaa6c267f4d5d1b78a49013faa6fd4c4244b

Observation e838375e-d0a2-4704-bc88-986659274d86 · outbound

This paper cites Decoupling features in hierarchical propagation for video object segmentation.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Decoupling features in hierarchical propagation for video object segmentation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.684223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.836110Z digest=sha256:675d4045a5f2f4e52fe077bbcf77bcabf989ee84d4f5fd7768ec6f1a0a9c229b

Observation ca8bdb5a-57c4-41b0-bf44-565000c1cf00 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 33

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no resolver link, observed 2026-08-06T20:31:50.840641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.840641Z digest=sha256:80f91d7545d959aa5626740006a10812915b6de8a95ed5a3fbf5a54fb8a0c87a

Observation 0dc380bd-5ec3-4a86-9b19-408a2abb5427 · outbound

This paper cites Segment and Track Anything.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Segment and Track Anything

Reference 34

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no resolver link, observed 2026-08-06T20:31:50.844918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.844918Z digest=sha256:665d507d2335e5b9031e37d804ac5eadbb0eb8e7162e5ab415901124e01fb74e

Observation eb2fa47e-c47f-43fc-b8df-29782873ec64 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.849234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.849234Z digest=sha256:aad3a5bc301694c54985b8e5bd54c438b00afb369074e34c2615fa0f555b3a18

Observation 4abc3fe0-805f-451e-82df-8dbcaf88e940 · outbound

This paper cites Visual prompt multi- modal tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Visual prompt multi- modal tracking

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.658547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.853940Z digest=sha256:bd5bb8326c0d78aa0ec05810881758cb11d7dcb17cf12385dbdf621e798d0ac0

Observation ffb7e37e-4528-4b43-b5ca-3b56b271ebe8 · outbound

This paper cites Mots: Multi-object tracking and segmentation.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Mots: Multi-object tracking and segmentation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.642843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.858268Z digest=sha256:16fca62738ca063651e48103e6f679c070625c6bf6f306aa5638221daf23dfdb

Observation 91e765aa-12de-4f50-be5a-bc3c793cd0df · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.862265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.862265Z digest=sha256:a18d364852f42ecb691fa2e31eff59affa019601c4eb22608986e41156ef66ff

Observation 7e894e90-2e0b-428d-ad4a-a9c5cb427b98 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Scalability in perception for autonomous driving: Waymo open dataset

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.627084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.866660Z digest=sha256:0cecfaa71cd878e3c771571d1c597e8dd576f79971c89c521d17a8c33e620c86

Observation ab63c883-f272-43eb-8ae7-50c92ddf2197 · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.870743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.870743Z digest=sha256:71224423c284837eb3bd2a7c2993bfa4fbe040a48b515947f450acc9af4fdf44

Observation 4e1d762d-ad62-427b-9901-b11340a111ed · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Imagenet: A large- scale hierarchical image database

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.875404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.875404Z digest=sha256:de1c96b4ab5ee849e0c5a3eec1dd56e6a7bb6479f830453a8077a19121a789f6

Observation 3f7128f5-41cb-463c-a345-769fe98ccae5 · outbound

This paper cites Tao: A large-scale benchmark for tracking any object.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Tao: A large-scale benchmark for tracking any object

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.600484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.879437Z digest=sha256:66f262ad06b5a07031dd83f895c5b0f7b5cdc766981836d2a76220b997355394

Observation 19210c08-0c6f-401a-813b-9ededc822b8b · outbound

This paper cites Beyond mot: Semantic multi-object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Beyond mot: Semantic multi-object tracking

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.586094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.883753Z digest=sha256:7bba3d761e2679a529c57246df8a718dccdb4695cbc73092eddc4339b3c18dd7

Observation 426ab245-ffc5-4f34-a5e4-7b8d8ed1ba96 · outbound

This paper cites Referring multi-object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Referring multi-object tracking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.571073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.888216Z digest=sha256:0631167715d12ba165d7706eb2c6152146320220048259e89e65f3a4f418b096

Observation 0350f61f-e41c-488c-bf1d-a0b4f0204e7e · outbound

This paper cites Bootstrapping referring multi-object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Bootstrapping referring multi-object tracking

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.892086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.892086Z digest=sha256:1fc89530f67b110396b15a6f294b34b171485932dd51ecffd2e78a47fbeda300

Observation f5a7f368-8ca1-4d30-bd9f-83d339f4e546 · outbound

This paper cites Cross-View Referring Multi-Object Tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Cross-View Referring Multi-Object Tracking

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:31:51.049329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.896248Z digest=sha256:7f61d4c63a6fcd8b391e281fac51521541bf5027c827b8a5f0596510734d394e

Observation 635edc91-d1cf-4c33-8790-adc40a2db988 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.900780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.900780Z digest=sha256:5d2ee9f152b1d6979d81fbc76c9b56f9d18ae59da65ffbb090e68f80cd335b6c

Observation 17d2ab36-e921-444c-ae24-440de5ca181b · outbound

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

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Evaluating multiple object tracking performance: the clear mot metrics

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.553875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.905058Z digest=sha256:4c76ad12a78e625bc98463086e0d8d2bbc6c1f25031382a9efc39e81b910df05

Observation 76f3d8f5-a3d8-4f62-9ebd-ff0447c01e54 · outbound

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

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Hota: A higher order metric for evaluating multi-object tracking

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.538525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.909161Z digest=sha256:0539f4d8532c0f595cc4af88c997f8a491087e434c28933d3d6c3fd4d04a7ea4

Observation 5777ba00-9547-4e77-a507-b119a9b7dcfc · outbound

This paper cites Tracking objects as points.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Tracking objects as points

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.523312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.913456Z digest=sha256:ee471003fa9732115160db61b5ba0f1e6ba84185c784ba71b7e69f055d86c171

Observation 2e2f417f-2ebb-49bf-b8b1-aa9e2f8e1730 · outbound

This paper cites Track to detect and segment: An online multi-object tracker.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Track to detect and segment: An online multi-object tracker

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.508585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.918081Z digest=sha256:18c31b4765590d37a30e0e9618b415e6a4b543d33bc301141be8ec1853f35c28

Observation 69cbc336-4444-4fef-bdcd-e3a2d7f7ca00 · outbound

This paper cites Memotr: Long-term memory-augmented transformer for multi-object tracking.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Memotr: Long-term memory-augmented transformer for multi-object tracking

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.492936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.922669Z digest=sha256:b023110cc5e2b3710c09fc8f3fece0828162f4dff7c96e9537b0f0d0f6d8bd0c

Observation 4b40be24-ba5d-45d3-9f08-ea0c9dc31ae6 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Diffusion models: A comprehensive survey of methods and applications

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.927067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.927067Z digest=sha256:c9bf4d5fb2cb33ef67cb3027592ebf3f09294f89cf9c905e8e67c5ddf54c2626

Observation 910a2ccd-688a-4f34-87e4-334ab0ca001f · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.931372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.931372Z digest=sha256:7a59037d942536aee4d798cca380e0a705aff9e8f3a817b05e818b13f2b3ff02

Observation 9a73053b-01ec-41b8-8953-02ebdd145854 · outbound

This paper cites Object-centric learning with slot attention.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Object-centric learning with slot attention

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.467777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.935631Z digest=sha256:8bfbb0701f9ad808d4a613c80800d8ce220d20a885659aa7e02ae051635592fe

Observation 0518a3de-0dbb-4e71-99d3-4d91711d6732 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.939984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.939984Z digest=sha256:254fe230bf24bba765135006c8ce530986b8069ddddf6186e6bfdd202b3f117c

Observation 8febc4f9-756d-49e2-b1c5-c3a78a04f607 · outbound

This paper cites Learning transferable visual models from natural language supervision.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Learning transferable visual models from natural language supervision

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.944262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.944262Z digest=sha256:129a33f20eaf5ffa2e10ae606758140da9d3f6b698fc4aab17746336e2ee1dcf

Observation ec0bf3bd-b1c7-4fa7-9b5a-4083c291a3b5 · outbound

This paper cites Visualizing data using t-sne.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios Visualizing data using t-sne

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:31:51.442048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T20:31:50.948837Z digest=sha256:6898ee09865d2cca07c6a7466976012c9e8ec393455162b8a5e08932c3098a1e

Observation 18f853e2-8c69-4fc9-96c5-99d9826777db · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios YOLOX: Exceeding YOLO Series in 2021

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:50.750870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:31:50.750870Z digest=sha256:0eb0408c854bcd5b80718fcd873338f3765c1e394c9679cab350dcdf785a694b

Pith citing papers

No inbound Pith citation observations are available.