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Paper Citation Record · LEDGER

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1504.01942.

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

pith.paper-citation-record.v1
1504.01942 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:04:42.869257Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T23:10:02.900633Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5d062f72-c33f-4605-a9c3-b24a672035ca · inbound

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking cites this paper.

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-24T23:10:02.903144Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-24T23:06:56.412446Z digest=sha256:d15807119d661250fb1015441a4ca36bf9964b7d33f0462bf64e03c8e1f0ec9c

Observation bd944f18-e2b5-4fcd-8257-0ce2ddc0a703 · inbound

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity cites this paper.

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:42.869257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:42.869257Z digest=sha256:b9d9d4c795b2de16a76114bf4f830fa5a37dcffcd8264407e1ac3d2acaac4c54

Observation 39fac807-5de8-43f9-b149-1b5ebf1f7c52 · inbound

Hierarchical Instruction-aware Embodied Visual Tracking cites this paper.

Hierarchical Instruction-aware Embodied Visual Tracking MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:24.432490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:24.432490Z digest=sha256:52d8bfd1d5fa7235efb33595080498d8334f2b6eafbdf3662caba2a77e0541bd

Observation fa76a249-bb12-45b5-8ebf-ee702b974c23 · inbound

State Space Model Programming in Turing.jl cites this paper.

State Space Model Programming in Turing.jl MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:55:56.619985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:55:56.619985Z digest=sha256:c2ec99540d2cd9ec366254a2c7dfd2c7563109b32966e5ebf2fba4a3fc7d43cc

Observation 304ac416-75d8-4d8b-bcd6-ebf4379d8617 · inbound

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software cites this paper.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-05T14:47:24.512799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:47:24.512799Z digest=sha256:7e5d7d2497576e0db4ba2204808c4b6a69b76166ff2ca828fa053820bbf46be8

Observation aa35c521-b107-482a-9dfd-22de41bf39d1 · inbound

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video cites this paper.

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T10:56:10.535122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:56:10.535122Z digest=sha256:e09979cdc4ff7c80a12a7e68a5b3976e573976e0e5c69c13abd536d9fde7df74

Observation cfa0dbb7-2672-475a-a3cb-aa3c1101dc4f · inbound

STORM: End-to-End Referring Multi-Object Tracking in Videos cites this paper.

STORM: End-to-End Referring Multi-Object Tracking in Videos MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:00.389740Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T16:25:31.777907Z digest=sha256:d1ef430a6bcbad3b1cfff5a76f85a13e377ad89deceec51be28d07a5daaa4067

Observation c61275cf-1f2a-4d0e-b6c0-949598bf11ba · inbound

SkyEV: RGB-Event UAV detection and tracking dataset and baseline cites this paper.

SkyEV: RGB-Event UAV detection and tracking dataset and baseline MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T14:31:05.005817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:31:05.005817Z digest=sha256:447f318a1661e5d09a2fcc8859ed1070ca2976b0633ab0ad5bf9ebef3c4d85b4

Observation ffef55f7-a9ca-4d8a-b8a6-65507135a5df · inbound

Inferring Missing Trajectory Data with Temporal Convolutional Networks cites this paper.

Inferring Missing Trajectory Data with Temporal Convolutional Networks MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T00:09:01.715604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T00:09:01.715604Z digest=sha256:15347a8ecf46d2354f2bebff304ce569bb6b7e7c164d33467f8a144d2f4e655c