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Paper Citation Record · LEDGER

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art

As of 20 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 1 inbound Pith citation observation for arXiv:2506.13457.

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

pith.paper-citation-record.v1
2506.13457 v1

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:18.179674Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:57:55.948789Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 108 outbound references displayed

  • verified exact8
  • verified fuzzy1
  • unresolved88
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e178f214-4bfc-4395-9fcb-8578c3c353f1 · outbound

This paper cites Adˇ zemovi´ c, P.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Adˇ zemovi´ c, P

Reference 1

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verified exact
raw_fallback, observed 2026-08-15T20:05:20.345315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:17.804669Z digest=sha256:bbb93869c064c91ac07cbd09ac27c68313c4b7883a8eb889eb3f1697753948a4

Observation 7456bbe1-24dc-4451-bb5d-7392008982b9 · outbound

This paper cites Adˇ zemovi´ c, P.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Adˇ zemovi´ c, P

Reference 2

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no resolver link, observed 2026-08-15T20:05:17.809377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.809377Z digest=sha256:095cbe54ec7e78551a1056426be5c6bea9fac23b6d145faad9e5294f7e849fcb

Observation 1ae9e5e3-c420-47a0-864f-677ec71cdd72 · outbound

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

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 3

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no resolver link, observed 2026-08-15T20:05:17.813457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.813457Z digest=sha256:7c067e19ee8c779248ba51190e6fb68d776e9ff80aa3defaf3c60e17fa0e337c

Observation 2be845f7-5600-40c8-a856-6a8e84cc9f76 · outbound

This paper cites https://www.ieee-jas.net/en/article/doi/10.1109/JAS. 2020.1003453.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art https://www.ieee-jas.net/en/article/doi/10.1109/JAS. 2020.1003453

Reference 4

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no resolver link, observed 2026-08-15T20:05:17.817598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.817598Z digest=sha256:ae78d854c242e8c88618babaa291705d77acef446fd4102a9e90d84157de0439

Observation bd5d6f33-4b68-4aa4-baf9-d72074480e1e · outbound

This paper cites Ahn and H.-J.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Ahn and H.-J

Reference 5

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verified exact
doi, observed 2026-08-15T20:05:18.372493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:17.820833Z digest=sha256:3d242d1b9c775bcdd4253ebc6b59c1fa2eb09ca471918b004fe459229fef455a

Observation 8a28daf9-6bdb-4336-be73-78feebdfc254 · outbound

This paper cites Bergmann, T.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Bergmann, T

Reference 6

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no resolver link, observed 2026-08-15T20:05:17.824561Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.824561Z digest=sha256:869c70502394fb24c740dcc4245c234c39acf0f736b3f852f5cb5bca3db0d298

Observation 56c6ec9b-bd4e-43a1-b28a-b92a3e66584d · outbound

This paper cites Bernardin, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Bernardin, A

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:17.828211Z digest=sha256:6a93189e3422b30f1d7b5df61c6e486f3f11b4a226f43b4346ba51d550e1fe01

Observation 1534e4ab-6f51-4eb4-80ad-6383ffdd3ba0 · outbound

This paper cites Bewley, Z.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Bewley, Z

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.831224Z digest=sha256:d54741b60e72df4d3b63e1f3ad0c6a3e119f1788bcd8f61ad1a45b7eb3b7d0f8

Observation 6535e159-d6de-4bce-8ab2-3802860cc321 · outbound

This paper cites Union-over-Intersections: Object Detection beyond Winner-Takes-All.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Union-over-Intersections: Object Detection beyond Winner-Takes-All

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:17.834730Z digest=sha256:40104b20e622c6a434201c854f8e580ddb8e8cbaac8df1fab81491532cb1dadc

Observation 351f4ed0-46bb-48fb-9c85-e8c8b543b1c9 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 10

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source=pdf_text observed=2026-08-15T20:05:17.838054Z digest=sha256:5608ab0f1ab5da93d686b2d89708994d9045ddddb7b91aeab62edc9f76a19f77

Observation ce8ef091-89ff-4b9c-a808-821999ecc9be · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-15T20:05:17.841370Z digest=sha256:8b8cf6d0ffc43541cb65aad02a745c323450841993a59f3dfa08ad0e7b549de6

Observation c00e2e25-abcc-4626-bd02-595255fcba8c · outbound

This paper cites Bras´ o and L.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Bras´ o and L

Reference 12

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source=pdf_text observed=2026-08-15T20:05:17.844230Z digest=sha256:a69067618f76fc75d1474fcfc9fa2e91231f8ec8402cc9cf9421b8a146a09d2e

Observation b86cd32f-8d66-43de-8c7b-e21cea32b776 · outbound

This paper cites Carion, F.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Carion, F

Reference 16

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source=pdf_text observed=2026-08-15T20:05:17.857882Z digest=sha256:a6ff22d587fc0f8f9ab6a82b7293c52327c2937f5ae51d2aa380e3f58bae6f8d

Observation cfd6b291-bbad-4154-8cbc-b1ce195cdc1c · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.864848Z digest=sha256:81c8db24cb1b580b884934bc162032f9af176fbb53a33ea68e072506ba750cb2

Observation 542c3cb8-2693-4cd1-84fd-0dc82d7925ef · outbound

This paper cites Ciaparrone, F.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Ciaparrone, F

Reference 19

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source=pdf_text observed=2026-08-15T20:05:17.867877Z digest=sha256:4094cf89e6bb72dfe8f949b56139bd66fe65fa1abdba6d1e89bc1a411c047743

Observation 6c0a819a-c4f8-4b44-ad5b-6861778890df · outbound

This paper cites Cioppa, S.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Cioppa, S

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.870858Z digest=sha256:43587b721396ee5be5a7eaef9a92249ad491676f8413d5e78d43079c461060d6

Observation 90aa9ab7-8969-4c89-8d63-0d286828f1cf · outbound

This paper cites Dendorfer, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Dendorfer, A

Reference 22

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source=pdf_text observed=2026-08-15T20:05:17.877670Z digest=sha256:414dd15026719c2124a787e4ab6836d046649fe5bc79784fc9bb040523f6139b

Observation 4b7d6b1e-d3be-41e8-98e7-dc80f5d8bd1c · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:17.880873Z digest=sha256:feacac6f4f2ff3719d6ee366674262645a3a5b6ccb3340ae37c9d3aed2e31205

Observation 21b8e757-2e45-4799-98ea-db3931d5c942 · outbound

This paper cites Dosovitskiy, L.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Dosovitskiy, L

Reference 24

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source=pdf_text observed=2026-08-15T20:05:17.883954Z digest=sha256:0035d2ad257c4eba76f62aa74fc144806f36a0aec1c22abd7eec9a597efab174

Observation ede61676-3da7-4593-bb95-02dc08dd0333 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-15T20:05:17.887748Z digest=sha256:7abc9a531d9eb51a174064f69c282b720019ae2e693e1d5d0a3cacda4de19ed9

Observation b6efd06c-3e73-46c5-8417-334f5cd7eead · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 26

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:17.890729Z digest=sha256:4fb455573b584c0bf409571bc26bd7a155268659b1eb31182df2e89dec13f13a

Observation c1f9c623-65d6-4f7a-b029-2f7343703537 · outbound

This paper cites Elharrouss, N.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Elharrouss, N

Reference 27

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source=pdf_text observed=2026-08-15T20:05:17.894182Z digest=sha256:657c6902c6d31f58a5fe52c8c6114217b52d092ee9c17d28cf7451d0bdd9d1f1

Observation 4572a11a-ec5c-4016-a14c-34c796fcadd1 · outbound

This paper cites Emami, P.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Emami, P

Reference 28

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verified exact
doi, observed 2026-08-15T20:05:18.345432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:17.897242Z digest=sha256:0f822827baab556270009ac09353c86a6e606dc3fd8b449f90bbf785ffeeca86

Observation 02169600-1878-4ab9-8018-dfb227fc67eb · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-15T20:05:17.900829Z digest=sha256:fd951fb1c664ef2c2aae12837d689f2c819dd844e58e2503be3c80fc6ceacd30

Observation b712a8fe-63bd-454c-9b53-0e7c35ea790b · outbound

This paper cites Fischer, T.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Fischer, T

Reference 30

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source=pdf_text observed=2026-08-15T20:05:17.903828Z digest=sha256:5d7a4a77d4115163887ea6f0c93050d9873a99968a877e12baf69e885d52db50

Observation 854d4f89-cb6b-4379-a415-97c8f66255e2 · outbound

This paper cites Gao and L.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Gao and L

Reference 31

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source=pdf_text observed=2026-08-15T20:05:17.906753Z digest=sha256:167b59732159555d69214448e1bf68b7cadb6453f82a0f87f7b07acf40a56ea4

Observation f7b834e2-3ff6-48d6-908c-5f581b875806 · outbound

This paper cites Multiple Object Tracking as ID Prediction.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Multiple Object Tracking as ID Prediction

Reference 32

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source=pdf_text observed=2026-08-15T20:05:17.909818Z digest=sha256:5f7e18766688c0b0459a8f639623ba0f6593548236d2db7fc0ba08c26a6c3f29

Observation 8a3f8fab-5261-42c5-9505-b7b04ae72942 · outbound

This paper cites Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking

Reference 33

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local_arxiv, observed 2026-08-15T20:05:19.558882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9b89cf5f-4d44-4ae4-b1b9-af214167d642 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLOX: Exceeding YOLO Series in 2021

Reference 34

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source=pdf_text observed=2026-08-15T20:05:17.917102Z digest=sha256:95cc08aef598ed46921dd90e2a3c69dfeb820f35d8430c17558bd76e2faad458

Observation 517e191d-795a-40e0-89fb-f5fbcb93653a · outbound

This paper cites Girshick.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Girshick

Reference 35

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source=pdf_text observed=2026-08-15T20:05:17.920230Z digest=sha256:d3655d3343c027326a4adcb329de22cbb976b4f8b2d82efd87c916135765500d

Observation ac3df4a4-ef4f-4ba7-8aa7-4b03e13523f1 · outbound

This paper cites Girshick, J.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Girshick, J

Reference 36

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source=pdf_text observed=2026-08-15T20:05:17.923164Z digest=sha256:7292e0875364f4d006443a40945f340d2ea94e0be86994038e5928eb6706be84

Observation b4a059dc-fd01-48a4-a4fd-4c6f2bf6c179 · outbound

This paper cites Girshick, I.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Girshick, I

Reference 37

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source=pdf_text observed=2026-08-15T20:05:17.925899Z digest=sha256:53de3fa669cb0d164a26a3d32594406e3e3684927f999b5ebe72cc366f53ad24

Observation 1d638a78-f20b-46a4-9d03-d0623fed28c2 · outbound

This paper cites Goodfellow, Y.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Goodfellow, Y

Reference 38

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source=pdf_text observed=2026-08-15T20:05:17.928887Z digest=sha256:1051a56cb17aa8d5a4f7a8dcfdef84e8a2d526fd3028a7a98c71b7a417cd595b

Observation 09fea35b-f0a5-4fc8-815d-cf9dd9f9a406 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-15T20:05:17.932200Z digest=sha256:372d39c2811faadb69a53ac918786ed471a42c14bcb2095800b3a2f9be982dd4

Observation 307ab434-9ebf-474f-b584-398484411acf · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 40

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Observation 832edc9f-b699-4354-9609-4b2f2bbee541 · outbound

This paper cites Mask R-CNN.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Mask R-CNN

Reference 41

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Observation d1e47965-ed85-49a4-95a0-3a34c5a5c72e · outbound

This paper cites Hossam, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Hossam, A

Reference 42

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source=pdf_text observed=2026-08-15T20:05:17.946489Z digest=sha256:850318a8e1a4788424493670d7b0fda4eb0c18584efb9394976be1151b6d8e4a

Observation 38614b4d-4dd2-42be-9c7e-c9b52737a819 · outbound

This paper cites Huang, C.-Y.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Huang, C.-Y

Reference 43

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Observation a5c94230-4c02-481e-8dec-a2b1f31946e2 · outbound

This paper cites YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

Reference 44

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source=pdf_text observed=2026-08-15T20:05:17.952472Z digest=sha256:7d083773b9b989d9c4424cce1a8a5cdab02fc2e6c36c835aef2b85ca1ab561dc

Observation 15427d0e-ddf8-480e-880f-2d65636a56d1 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-15T20:05:17.956134Z digest=sha256:8ce6671f1161e2cb331f4924304c6f9500d108ab1ac3aadc613652264891a760

Observation 1db3bafb-af53-40c5-88ff-bc48e3528ff2 · outbound

This paper cites Jocher, J.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Jocher, J

Reference 46

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source=pdf_text observed=2026-08-15T20:05:17.959314Z digest=sha256:c9f8d89a3a545f1b9bc60adb7e9353a6a8c9e3ebbe711880d791855f46967529

Observation 895456e0-d196-43ee-b8a0-36a06073f586 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-15T20:05:17.962223Z digest=sha256:c5730b8c29f9c80178927035cb7244c4c57b7ea6fdd67af363b6d01f445455f6

Observation 303b5681-19d0-482d-bc67-809652ce8015 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-15T20:05:17.965997Z digest=sha256:552fbd3332356fb9d1b95f8233b2842bf04597a6df4745bc0cf5a571b60b0ffc

Observation f2fe2a73-2723-430c-8620-01715efa930f · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-15T20:05:17.969756Z digest=sha256:dbe8f08baa02cb385d4ba09405107e4d03632e6033a944efe2ca6ee912c6d58f

Observation c7181528-0a89-424e-9026-8299bbbc47d5 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-15T20:05:17.973357Z digest=sha256:6545463400322ad408a5b0ce181ad0bfef94ee2e627146057deb1d7a7d089be4

Observation ff681af1-c4ae-4d18-b3ba-c0485f54bdd4 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-15T20:05:17.976241Z digest=sha256:8addb9e8c3ebdb6dd6ac8d0e9b47f60471753448f03df409d32b055817da37e5

Observation dec26b54-44a4-457b-9bfa-5defd31081b7 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-15T20:05:17.979261Z digest=sha256:dd0e5324f1eba220bca5af1a255a2c840e761b6c29b88fb20eb54d2fc4199858

Observation aecccaba-0a0a-4106-9d7e-f783a35ec969 · outbound

This paper cites Luiten, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Luiten, A

Reference 53

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source=pdf_text observed=2026-08-15T20:05:17.982266Z digest=sha256:97b785d0af4b06fd50107dc446e7f9d8adbc568ac33933a589175fec7b6c11d0

Observation 0d61f2bb-9d33-447a-b831-361a14122d87 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-15T20:05:17.985624Z digest=sha256:fcb3cc39868818d7042858490020a9e23f35fe6a54e2c9fb3cd49892f9130bae

Observation b6ffee26-f530-4121-9dbf-b9fe3ab2a215 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-15T20:05:17.989759Z digest=sha256:b0e89b190aed55158fa6580a59b2dbdcac0b7c9f7529f410a7c1d7b58e25552e

Observation 631545f8-c965-47c8-9e26-8f59b81ca63d · outbound

This paper cites Maggiolino, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Maggiolino, A

Reference 56

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source=pdf_text observed=2026-08-15T20:05:17.993726Z digest=sha256:586fb9231a8abcf12a1bf727a8f362d0aecdad311ceedb3d25880ad5663434db

Observation 90d0de7b-3010-4923-9044-bd17c7c18f65 · outbound

This paper cites Miah, G.-A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Miah, G.-A

Reference 58

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source=pdf_text observed=2026-08-15T20:05:18.000843Z digest=sha256:d2539c27613cda6aea52e016093a4dd122fd685fe3291b15951c35a99648c5cc

Observation a3a41edf-6f1c-4e86-9beb-fcc48062d5bf · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art An Introduction to Convolutional Neural Networks

Reference 59

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source=pdf_text observed=2026-08-15T20:05:18.004284Z digest=sha256:5179bae81c6e144a5641510824fb26d208ed86438c40efdf37432a4c3062fff9

Observation 34843c87-d14c-485d-8ae4-d151422465da · outbound

This paper cites Paszke, S.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Paszke, S

Reference 60

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source=pdf_text observed=2026-08-15T20:05:18.007758Z digest=sha256:79040c3e1da284d2a27c6f37ce671546190bd911a368ee69690020e43d593af5

Observation 93b86eff-3d4c-48a6-9ae8-e66633aba35e · outbound

This paper cites Rakai, H.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Rakai, H

Reference 62

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source=pdf_text observed=2026-08-15T20:05:18.014041Z digest=sha256:10fe05cd01d0087b4362d9c4c2c81fb48c0ebe40bd4f5a76680778307345966f

Observation 4eba56f0-01bf-4b0f-8e4c-2c7e0337e5aa · outbound

This paper cites Ramshaw, R.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Ramshaw, R

Reference 63

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source=pdf_text observed=2026-08-15T20:05:18.021302Z digest=sha256:885a169675dd5495e93c1455a5a3ee6b5b9860d9a963997d845a6fe495eba2f6

Observation a2a65f65-c3ff-4c5c-bbdd-1c148c714264 · outbound

This paper cites Ravindran, M.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Ravindran, M

Reference 64

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source=pdf_text observed=2026-08-15T20:05:18.024225Z digest=sha256:8e4e1231e9095121bf976d6af669230307af341f30d1a6d25ca98e85a2fabf5c

Observation 9985cdc0-c8e3-4304-9ae5-99c342aca5c8 · outbound

This paper cites YOLO9000: Better, Faster, Stronger.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLO9000: Better, Faster, Stronger

Reference 65

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source=pdf_text observed=2026-08-15T20:05:18.027878Z digest=sha256:7416a798f3e81665078ea4462ac557413b72a2043dfb8186ae5cfc2d4b618384

Observation 0150fcc0-28df-4e54-b238-9595e27a5fed · outbound

This paper cites YOLOv3: An Incremental Improvement.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art YOLOv3: An Incremental Improvement

Reference 66

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source=pdf_text observed=2026-08-15T20:05:18.031582Z digest=sha256:9401d3e170971c4233457d1aebdfe291789714432df073777e75d0b7d37cbf76

Observation 6effbe43-4897-40e4-a95d-9292afd0ab94 · outbound

This paper cites Redmon, S.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Redmon, S

Reference 67

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source=pdf_text observed=2026-08-15T20:05:18.034729Z digest=sha256:4d0fd39734d3f69dd285fee507808b98d52d994d5d978e0bfb0331921323e1b2

Observation 78c61b2e-55a5-4dbf-bda2-3b1f7bd9fcd6 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 68

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source=pdf_text observed=2026-08-15T20:05:18.038509Z digest=sha256:741af4458812bc834924ad83bf837ef7600132377ab323690dd5d832eca0cd9d

Observation 44da62c1-01f5-4f4f-b71a-c16f6a3c0bdb · outbound

This paper cites Revach, N.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Revach, N

Reference 69

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source=pdf_text observed=2026-08-15T20:05:18.042240Z digest=sha256:c265f42ea4d1a7103d27736abafea26eb07beb34924ef200f0992b13721347e3

Observation 666cc67b-7f65-4309-88c2-1e5453a05993 · outbound

This paper cites Rezatofighi, N.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Rezatofighi, N

Reference 70

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source=pdf_text observed=2026-08-15T20:05:18.046262Z digest=sha256:b4709265c1e5516d8458ceda929d1851668a879a3cc8e277df6acae45077f15c

Observation 0c359a0d-59fc-42c4-943d-c97adec08e3f · outbound

This paper cites Ristani, F.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Ristani, F

Reference 71

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source=pdf_text observed=2026-08-15T20:05:18.050176Z digest=sha256:132ae154bd8bbf98831ebe595b7d89d9bd4e94f16b02aaca043c8ea2b850928b

Observation 2962dc4c-3b8d-4f5f-b8f4-d5d3c2de7cc7 · outbound

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

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 72

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source=pdf_text observed=2026-08-15T20:05:18.053811Z digest=sha256:d1f8c196e092b444ed84cfceeceffbac5020609dc2a87bf73ae6eb15f2949d90

Observation 6a67f9f0-7534-40e6-bb84-a3c0cff71b58 · outbound

This paper cites Sohan, T.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Sohan, T

Reference 73

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source=pdf_text observed=2026-08-15T20:05:18.057663Z digest=sha256:768c09e74440ee537c4ae43098e7ec6f5d812292f6d4876cd8a92b18a3f6d0af

Observation f26f1aaa-7d11-43a8-928a-cae38473568e · outbound

This paper cites Stadler and J.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Stadler and J

Reference 74

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source=pdf_text observed=2026-08-15T20:05:18.060570Z digest=sha256:fc096380fcfcd109c6b7a5a89698efe3a06ecc5038cc5ed762e62c7610ce38a1

Observation 97040dcb-02f1-4090-9a17-246c38bb3bce · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-15T20:05:18.063827Z digest=sha256:c3146c5ed4f214a937289c51143e992a0155841c8d4d7766d677f3b342630fae

Observation 98f36d9b-427d-4c8f-895f-08b7607606cb · outbound

This paper cites Stanojevi´ c and B.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Stanojevi´ c and B

Reference 76

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source=pdf_text observed=2026-08-15T20:05:18.067098Z digest=sha256:ae6deb463a7d174462da7a1f4f5828eb182d88229512cd14e240b7e4c2898899

Observation 7d320100-700a-400f-9b00-859751c260a7 · outbound

This paper cites TransTrack: Multiple Object Tracking with Transformer.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art TransTrack: Multiple Object Tracking with Transformer

Reference 77

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source=pdf_text observed=2026-08-15T20:05:18.070354Z digest=sha256:dbcf7634000b361499eb9cc0ae4bbc7656ef6ff013abb10a5daa84fa1180b292

Observation 65159006-372c-470a-8fc8-3cdebbe5a0a6 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-15T20:05:18.073594Z digest=sha256:ad906d9f0b2f6fcea717ee103665a6a58f6a75a0ab6edca25fbf0f46dc62052b

Observation ceac2c45-072c-4074-9bfa-b62a69f854aa · outbound

This paper cites Terven, D.-M.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Terven, D.-M

Reference 79

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source=pdf_text observed=2026-08-15T20:05:18.076577Z digest=sha256:8251335369761640c899f27c2361ba273975f4c17f903f470e316a8fa8fcb621

Observation 681d3ac0-898f-4fbb-ba94-42db7194c7f4 · outbound

This paper cites Touska, K.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Touska, K

Reference 80

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source=pdf_text observed=2026-08-15T20:05:18.079754Z digest=sha256:57f3d96057131efae3690b067971639f33b7ea9240e2a48ae6108b798af34836

Observation 0ac3dcd0-4ec4-4a16-81cf-8f93864cd3a4 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-15T20:05:18.082813Z digest=sha256:bf5d9cabd57b9c35bc11ff34832c176276a5457c79672c6c1d6e542c7995acd4

Observation bee356f7-2a62-4ef5-958f-7742089eb056 · outbound

This paper cites Vaswani, N.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Vaswani, N

Reference 82

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source=pdf_text observed=2026-08-15T20:05:18.086319Z digest=sha256:7f284b77ad3f34e7e76d748404dc36eed73ab2c51fba2af6c0b3f89f4041c699

Observation ba57455a-5b1a-4163-abee-c49741d02e68 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 83

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source=pdf_text observed=2026-08-15T20:05:18.093461Z digest=sha256:fcbc367ae1b4d6e4032f2ed19bb5331cbff58518f933654afc6ccda872dc1d2f

Observation 943a1fc3-c5cc-495a-b82d-bf721af8f4ef · outbound

This paper cites Wang, H.-Y.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Wang, H.-Y

Reference 84

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source=pdf_text observed=2026-08-15T20:05:18.100608Z digest=sha256:42c1ebd182fb90ea3b0f8b8a11f41be38b9a7050e85ce5a8a267a285c1f9ab41

Observation 11eadadc-bc73-4d7b-b1f4-7fd350f89265 · outbound

This paper cites Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey

Reference 85

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local_arxiv, observed 2026-08-15T20:05:18.767142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cbbdfbb8-ac53-43fe-8701-6855d4bb8227 · outbound

This paper cites Wang, J.-W.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Wang, J.-W

Reference 86

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.107818Z digest=sha256:d1e6537958f35b07a51e83df63d584c329df23825457f8cccd17633c58bc52cb

Observation 7114bf03-45fa-498a-8aed-188f5f72b6a1 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 87

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no resolver link, observed 2026-08-15T20:05:18.110716Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.110716Z digest=sha256:c40157f894bc1d7268f439f16d54e8a26f9afdca31f44bd7646231cf8236786f

Observation 719356ab-1e6a-4707-9e58-bfd9ae4f6c38 · outbound

This paper cites Williams and C.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Williams and C

Reference 88

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source=pdf_text observed=2026-08-15T20:05:18.114388Z digest=sha256:4c89bab5bff574b873703b1336769c9ac9339cbfa8ce11ac16fa890d03690ad9

Observation edcf1ed6-4be0-4ea9-8bcb-20e4f9c07da5 · outbound

This paper cites Wojke, A.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Wojke, A

Reference 89

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.117814Z digest=sha256:c9d75f1b2dd6c4435fbf84e2487e081f49ef6bf005888c74f7337bc5f1cbf857

Observation af35be17-2187-40bd-9fde-40ef141e5971 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 90

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Source-reported events for the cited work

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Observation 09636ed3-68cd-464b-a639-59e907bbd52e · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 91

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no resolver link, observed 2026-08-15T20:05:18.123841Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.123841Z digest=sha256:5c6bfce0ed024db7c76cce193782d2d1c99d864ddd27bb28f57cbe1dd591d62d

Observation 206c715b-5122-4877-8be0-be1c196263d8 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 92

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unresolved
raw_fallback, observed 2026-08-15T20:05:20.398176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb0ce090-db22-42d9-b23d-7bc8e78494f9 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 93

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.134784Z digest=sha256:5434d618e0e86bed976cca71f62b42dc04f2a5905076cb9c3900c57073d66f37

Observation 3e836cba-e719-4ae4-87ad-752dae2570ca · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.138371Z digest=sha256:cfb79b949afbee140eefc48d26f6897a4052db775282aed70ba0d8718978ad5c

Observation 4f7f9b9a-ea92-46d7-bdeb-58f03a54b954 · outbound

This paper cites Yasir, S.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Yasir, S

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.141438Z digest=sha256:2faa5388f9bac2e6b66837a1ffa72ba44f4cfbe5ccf118ea6fcf238a6b1cc01b

Observation f2c42e69-df77-4196-960d-bac82c1143f7 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 96

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no resolver link, observed 2026-08-15T20:05:18.145245Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:05:18.145245Z digest=sha256:904232fdf0b10a8641683c7b4d03827e5439869d3d774b948d765938a15dc67b

Observation 107748b2-2690-40ce-88b6-c299a960e419 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 97

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unresolved
raw_fallback, observed 2026-08-15T20:05:20.388072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:18.149108Z digest=sha256:fa8e0d2ca799d431427a257334a68a2fd8225c617b35d39327f7bcb1dcd41aac

Observation fe408ecc-c01c-4b8a-a7b5-c64e6ac2dc22 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 98

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no resolver link, observed 2026-08-15T20:05:18.152035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.152035Z digest=sha256:736b601d930e8a24c7513af7b23363782387443aab1c1c44c9c111770e3764a9

Observation c8adad73-8f26-4daf-b42e-7d751370ef2f · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 99

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unresolved
raw_fallback, observed 2026-08-15T20:05:20.378138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:18.154811Z digest=sha256:0ba4ee32d6905b514b48c4e7ac12097682864d9e0aebebfcd3a6e775a9e26755

Observation f92f5b0b-f1d0-488e-8b67-324e855d1b9e · outbound

This paper cites Zhang, F.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zhang, F

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-15T20:05:20.367331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:18.157858Z digest=sha256:04f31abaf6e4c293e7766747640fadad69a4587b08c2a2e45f0aa87b9c87a1ca

Observation b47e6485-ab68-44f6-8fc3-6e66c61efba5 · outbound

This paper cites Zhang, J.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zhang, J

Reference 101

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verified exact
doi, observed 2026-08-15T20:05:18.238470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:05:18.160780Z digest=sha256:f5347488e27b5b3d767cf0e194efa11cf028a3d823b98aab637e3b2becc80c45

Observation 9d3da5c5-d372-4731-ae6d-f4dd9c0095e3 · outbound

This paper cites Zhang, C.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zhang, C

Reference 102

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.163793Z digest=sha256:40100277b45715dd3a8e2ebcce886eab5a2967e9c74237f8d948c833aece11cf

Observation bafaec74-bd2b-4249-b4e7-c89a2b1c6847 · outbound

This paper cites Zhang, P.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zhang, P

Reference 103

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.166826Z digest=sha256:5ec0ddf9d65152b0ac2b0feb348b70eb604e729752a82fbceea600ae44534ba2

Observation 8f5d8863-7352-4982-98f7-a0f26d68b916 · outbound

This paper cites Zhang, T.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zhang, T

Reference 104

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no resolver link, observed 2026-08-15T20:05:18.170294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.170294Z digest=sha256:565124042862a6f5c8e16df5612bd32eed6c4d4eb9853f6aac80716f612d6c59

Observation 1a7c56d4-6e98-46c3-991a-2746c5cbd342 · outbound

This paper cites ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box

Reference 105

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no resolver link, observed 2026-08-15T20:05:18.173092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.173092Z digest=sha256:25b87c5e4de8a3ffc598b355e42fbd69331b3996de510c450d4e8b328ddac07f

Observation 4bc74142-0697-4fc7-b430-746b763370c0 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Unresolved cited work

Reference 106

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no resolver link, observed 2026-08-15T20:05:18.176721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:18.176721Z digest=sha256:3b33e3ecde407b13a2d97eda606bc694183748237646d71fd3009c72080c0032

Observation 7001a44d-c0ea-414e-aa1d-0f0c4ac3e3dd · outbound

This paper cites Zheng, Z.

Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art Zheng, Z

Reference 107

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source=pdf_text observed=2026-08-15T20:05:18.179674Z digest=sha256:7135232593fcee2242f21efddf4e56742f5689c34b75d8c98209d323bcebf2b2

Pith citing papers

Observation 2a8bbde0-1467-4f83-baab-e43dfa90448b · inbound

Learning Association via Track-Detection Matching for Multi-Object Tracking cites this paper.

Learning Association via Track-Detection Matching for Multi-Object Tracking Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art

Reference 1

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no resolver link, observed 2026-08-03T13:57:55.948789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:57:55.948789Z digest=sha256:f393654f2195fbbdfad9d0a82a26966b066671f924d0f9cbdeb45acd79ada437