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Paper Citation Record · LEDGER

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking

As of 12 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.08313.

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

pith.paper-citation-record.v1
2412.08313 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:01:58.084935Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e84a1f0-cc13-4c7d-9d8d-ddd4478e44b0 · outbound

This paper cites An improved forest fire detection method based on the detectron2 model and a deep learning approach.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking An improved forest fire detection method based on the detectron2 model and a deep learning approach

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.522499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 144bbf60-2925-4b0e-abe2-743a08646a19 · outbound

This paper cites Sanity checks for saliency maps.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Sanity checks for saliency maps

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.505986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:57.956424Z digest=sha256:8a6f2c18cab6aa11ca9f15158c8c9c845db348c5a23bc6c51835eb3f596514a4

Observation dddbc442-d0aa-4534-8e63-52a63856b6bd · outbound

This paper cites Saliency map based data augmentation.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Saliency map based data augmentation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.489762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 56b260d9-e094-4d32-a866-cfc7f046e73b · outbound

This paper cites Statistical inference for probabilistic functions of finite state markov chains.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Statistical inference for probabilistic functions of finite state markov chains

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.474080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:57.966474Z digest=sha256:9c2b84e7655e42a422e304f4b72107780656199fadcc190649e0c7024fc49886

Observation 07790e63-fe84-442d-96eb-63b775c41acd · outbound

This paper cites Tracking without bells and whistles.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Tracking without bells and whistles

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.457878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:57.971164Z digest=sha256:e52b96e6b9116d77f8a1a715e2fe01da02554353d442fe6768a3aeea55dd32e6

Observation 9449558a-2c97-423f-8e56-aeb275c9db7c · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.443638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:57.976559Z digest=sha256:00abaad6dc79bb11e4a92e573441dad1f443c306912d2c3d7c30040240a52006

Observation 707d443d-f276-409b-b137-b63657390416 · outbound

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

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Imagenet: A large-scale hierarchical image database

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:57.981911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:57.981911Z digest=sha256:403e6c7188272723abad434964fcf226d224b29fac0eabe5b11d35153c4f3949

Observation 7c45691e-7af3-493a-a23e-0fa3c9190df8 · outbound

This paper cites Motsynth: How can synthetic data help pedestrian detection and tracking? In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10849–10859, 2021.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Motsynth: How can synthetic data help pedestrian detection and tracking? In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10849–10859, 2021

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.417479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ca065ca3-5e4c-4f4e-a292-136e94ffaf2d · outbound

This paper cites an unresolved cited work.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:01:58.402024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 93e60b7b-c984-47aa-bb49-683027ee6b9c · outbound

This paper cites Deep residual learning for image recognition.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Deep residual learning for image recognition

Reference 10

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unresolved
no resolver link, observed 2026-08-11T18:01:57.996969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:57.996969Z digest=sha256:3b545f6fa613caed0a93114d950270d2cf082b25edfe6476a726bdf2762033b4

Observation b1be71d2-6de9-45ba-97d0-825fa3e30b09 · outbound

This paper cites Mask r-cnn.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Mask r-cnn

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.002034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.002034Z digest=sha256:1a66d17496c65d6b4996ce2d0709463ae278ca00d34f83b960c21dd98600acb5

Observation ec5e23f0-4f2f-4b7a-abf8-e0148315284f · outbound

This paper cites Segmentation models pytorch.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Segmentation models pytorch

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.367621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.006927Z digest=sha256:0514b3b0139b1b48c14bbd02a24df07234a843c8fa450b56b5db1d19e9bbd6c0

Observation dee95135-9d5e-46b5-918f-514d9eca44a8 · outbound

This paper cites The hungarian method for the assignment problem.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking The hungarian method for the assignment problem

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.011723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.011723Z digest=sha256:87ca3bd27b7610e158f68cd82b728e116cce9e3e78b14ecc444b377278b110f8

Observation 41c5d768-ecfe-40af-8a16-80f0b8e5f80d · outbound

This paper cites K ´alm´an.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking K ´alm´an

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.340825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.016819Z digest=sha256:b0e92accc7ee2bfbf7346b1fab13b7b4bfa14ea25cb825479ca4dedc7e5f5b21

Observation 9e97b28e-d7e7-4f09-90f1-4f114f5e03fa · outbound

This paper cites Feature pyra- mid networks for object detection.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Feature pyra- mid networks for object detection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.021644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.021644Z digest=sha256:bf1301a934324037de02163cd632a610a4ce68ba417faa062f8fddc583408fdf

Observation ef2f566b-ada4-43f6-a735-261f6856b6c7 · outbound

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

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Hota: A higher order metric for evaluating multi-object tracking

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.313574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.026261Z digest=sha256:2b00487773df2a267d853b63b5e105e93cfdb86141198d71ac7a5eec5a790abf

Observation dc11ccdf-d5cc-4f35-a1e6-d9968bc2cfdf · outbound

This paper cites Neural Kalman Filtering.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Neural Kalman Filtering

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.031146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.031146Z digest=sha256:972bc5fd6a5e5a5482d2549eee8b21c6cbe250c16edea096f6d99da83f0d3406

Observation 7fb4ee71-1f09-44fc-8f22-9f50ab46e2d7 · outbound

This paper cites Investiga- tions of object detection in images/videos using various deep learning techniques and embedded platforms—a comprehen- sive review.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Investiga- tions of object detection in images/videos using various deep learning techniques and embedded platforms—a comprehen- sive review

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.297709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.036408Z digest=sha256:3fe3f121f5833176bfa9deceb52acc51607a6c5f6f46a14168b6ad6d07ba49fb

Observation 71f4c0fd-6af9-4371-991c-921a4c152a74 · outbound

This paper cites An image synthesizer.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking An image synthesizer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.041165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.041165Z digest=sha256:fa6669c06306f6c6f81eea8cca40e767fd52a93ad518b1b041af93192ef5f310

Observation 8c356d96-b098-48d5-9c54-5b0bd790860d · outbound

This paper cites Road damage detection and classification with detectron2 and faster r-cnn.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Road damage detection and classification with detectron2 and faster r-cnn

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.271053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.046027Z digest=sha256:c07c42846245fb538acacdf24425f74b51043d0a965add43c35aeaf1fd95dc87

Observation 9eecb2e9-a906-48f8-857f-50d7b552349d · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking SAM 2: Segment Anything in Images and Videos

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.050684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.050684Z digest=sha256:4ac7bcb4baf4a25b385afc5ed994274743c6a23d326131030c59f70c549e3e94

Observation d8cabdb0-a080-4255-9b5a-eb4684dab262 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:58.056581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:01:58.056581Z digest=sha256:3f3aaabba1a3015bfa702d8d87c252381ea997eee14b216908c27148a2527f73

Observation 33764d7e-ca70-459a-bcde-abb336719e2e · outbound

This paper cites Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:01:58.128754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.061549Z digest=sha256:0a3053c199bce02bf4323614fb4315a512e82b136f25c3ddcfe365901a92608f

Observation 309c9d8b-3e1f-4bfb-a65b-8ff053f09d3d · outbound

This paper cites Depth-first search and linear graph algo- rithms.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Depth-first search and linear graph algo- rithms

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.254212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.066497Z digest=sha256:51c28d0c8c15115530e3d2a0703bbfe7c2074253c5a960bee528afe8d02a0400

Observation 073fd623-44a4-422a-8f79-b8cace2b3ef1 · outbound

This paper cites Variable kernel density estimation.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Variable kernel density estimation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.238286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.071162Z digest=sha256:67321ebb66f3dad08c3c906de71b4d6290787d3caa839de955df5da24917d2e5

Observation d54ed98c-c1c1-4094-a071-9210d0d1583c · outbound

This paper cites Mots: Multi-object tracking and segmen- tation.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Mots: Multi-object tracking and segmen- tation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.222366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.075703Z digest=sha256:78d9f9359dcc1832c1bc483b6646199e84a10fe9ae9a60b9acf6c183238c1819

Observation 9a735f51-7038-4577-80eb-06c2c8009848 · outbound

This paper cites The unscented kalman filter for nonlinear estimation.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking The unscented kalman filter for nonlinear estimation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.207487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.080335Z digest=sha256:540436e17afac6d21cf3233cbc5ceaafe16c54e2c93e3cee260174e3091853fd

Observation 7eaf329d-81c5-4801-ad87-138ef3d1abb4 · outbound

This paper cites Detectron2.

Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking Detectron2

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:01:58.192749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T18:01:58.084935Z digest=sha256:6da427c052bc2a3aac5c07da43352c8a9c1643f4308e61a40b451faecee66b95

Pith citing papers

No inbound Pith citation observations are available.