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Paper Citation Record · LEDGER

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.15336.

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

pith.paper-citation-record.v1
2508.15336 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:00:27.700331Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb927e58-3210-4ad3-afba-6a4011d2d2a6 · outbound

This paper cites Predicting pedestrian road-crossing assertiveness for autonomous vehicle control,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Predicting pedestrian road-crossing assertiveness for autonomous vehicle control,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:31.195547Z

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=2026-08-05T18:00:25.860987Z digest=sha256:e46dd50c95e296d9ba1c3365c56c57849ebdd8e7bdc63358ca0c2b65d2edbc00

Observation cea63e73-55a3-4bf3-9f7d-6f4e49b1a991 · outbound

This paper cites Do they want to cross? understanding pedestrian intention for behavior prediction,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Do they want to cross? understanding pedestrian intention for behavior prediction,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:31.000124Z

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=2026-08-05T18:00:25.915404Z digest=sha256:b647d4c616d8159c3df4e280cbf97bb8e2c715cdabe549416963afe73118db81

Observation 14b26071-dbeb-4251-b4b8-a1b976191ba6 · outbound

This paper cites Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Prediction of pedestrian crossing intentions at intersections based on long short-term memory recurrent neural network,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:30.830604Z

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=2026-08-05T18:00:26.018142Z digest=sha256:c52994391d5e411cacd18c8c4c2a6e87440dcb6ba4dd838c2001d0a7458cd8f9

Observation 1ebcd4f3-d05b-4051-8697-c5f4e60da5d9 · outbound

This paper cites Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:30.666950Z

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=2026-08-05T18:00:26.098171Z digest=sha256:5e1e47375da8648db7b61511e99b1e9edd342a4bfe30b42452d4e3bc3d8eec10

Observation eb05951b-3ea0-414c-a552-195774c2a0fd · outbound

This paper cites Kumar and A.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Kumar and A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:30.490253Z

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=2026-08-05T18:00:26.172976Z digest=sha256:7b0026868482f00b2af57dcc8211fdc12b82d145918177ead3aef98427816ffb

Observation 8f140377-6be0-4e7f-9b67-e4d3e3c21dbc · outbound

This paper cites Combining detection and tracking for human pose estimation in videos,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Combining detection and tracking for human pose estimation in videos,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:30.284124Z

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=2026-08-05T18:00:26.230016Z digest=sha256:39d3525fc86a2f9ee0b6a439a7c1bc7151826bdf7249c482cb65215b2f078cfb

Observation a1088c90-6b39-420d-98df-d34ee89cddd6 · outbound

This paper cites img2pose: Face alignment and detection via 6dof, face pose estimation,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling img2pose: Face alignment and detection via 6dof, face pose estimation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:30.098961Z

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=2026-08-05T18:00:26.302164Z digest=sha256:cdfae97bf060f8637cf23820bf925a99a58338c9b20d5d74e825f26211fd1f44

Observation efc918b5-e120-4806-bdf9-416b5e19b36f · outbound

This paper cites Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Fusion of 3D LIDAR and camera data for object detection in autonomous vehicle applications,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.906453Z

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=2026-08-05T18:00:26.356942Z digest=sha256:803e83949fcce40d4f6742df9412230285e88e67ff046a2ff14d0a17ee99c49c

Observation eea42478-2269-465a-a1ec-9489a6453e58 · outbound

This paper cites Pedestrian trajectory prediction via spatial interaction Transformer network,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Pedestrian trajectory prediction via spatial interaction Transformer network,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.728597Z

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=2026-08-05T18:00:26.423347Z digest=sha256:eab88bd078da386cdc7bfa2b25572ff1771ee08252631bfe1d3cd9b452efa235

Observation 5e619cc8-58a9-41f6-94ab-0f2c36002879 · outbound

This paper cites Social SLTM: Human trajectory prediction in crowded spaces,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Social SLTM: Human trajectory prediction in crowded spaces,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.592800Z

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=2026-08-05T18:00:26.485373Z digest=sha256:9e8c6078246e21220d48da36c9ea0201d2b55395aee67dcc82fc591c70ebae11

Observation e39ab9a4-f8f1-4ab2-8fe2-8d3647304946 · outbound

This paper cites Pedestrian trajectory prediction in crowded environments using social attention graph neural networks,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Pedestrian trajectory prediction in crowded environments using social attention graph neural networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.469543Z

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=2026-08-05T18:00:26.511795Z digest=sha256:80760a5c5bf4dd69e42ce423038e68477fb7ae4c03ae59419e22253abc49bb51

Observation d68f8765-1d30-4bac-85b4-3e73129f9722 · outbound

This paper cites Pedestrian simulation with reinforcement learning: A curriculum-based approach.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Pedestrian simulation with reinforcement learning: A curriculum-based approach

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.250098Z

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=2026-08-05T18:00:26.516285Z digest=sha256:d613bb4c81356440d65fec6289bc1932f221ac691d42bdb775097110f1810679

Observation e204fc77-6b45-4392-8613-2bb75177bbdc · outbound

This paper cites Deep learning for pedestrian behavior understanding,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Deep learning for pedestrian behavior understanding,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:29.085790Z

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=2026-08-05T18:00:26.586746Z digest=sha256:d825ec55dd4c1c9bd5a4b8d2fb591061bbe607b546335c960753040251f01287

Observation 38d7b2d1-0771-43b1-91fc-49071a51666f · outbound

This paper cites American sign language recognition for alphabets using MediaPipe and LSTM,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling American sign language recognition for alphabets using MediaPipe and LSTM,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:28.881122Z

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=2026-08-05T18:00:26.828963Z digest=sha256:4f633f92afb9851d56c3b4fe20b1deccee012b21cbde35a94b10d45ba68bde83

Observation ecf04ae2-8289-4352-aae4-5bf126222c68 · outbound

This paper cites Hand tracking in 3d space using mediapipe and pnp method for intuitive control of virtual globe,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Hand tracking in 3d space using mediapipe and pnp method for intuitive control of virtual globe,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:28.648030Z

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=2026-08-05T18:00:27.011989Z digest=sha256:e378aac9fbec9fac604cedd2f6d20099a0ffe5ffc5d74e2a5f7bd4eb59238eb8

Observation 26184d9e-243b-4ecb-8282-61324af2dc6e · outbound

This paper cites Suspicious human activity recognition using 2d pose estimation and convolutional neural network,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Suspicious human activity recognition using 2d pose estimation and convolutional neural network,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:28.447406Z

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=2026-08-05T18:00:27.148178Z digest=sha256:7d8eb987fcc069641a9e5321fd0ceb4d9764a54c40945843d1aae841c4a621f3

Observation 0d3cd829-941f-4b91-b937-bb110a580cdb · outbound

This paper cites Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:28.260983Z

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=2026-08-05T18:00:27.335003Z digest=sha256:2681c84fef61cfb67830f4378cc66226241f4b8030e78938a6865ca06445b2b3

Observation fb18a442-ac28-4fa5-b719-1e3f2bf8a10d · outbound

This paper cites HMM-based architecture for face identification,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling HMM-based architecture for face identification,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:28.082592Z

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=2026-08-05T18:00:27.496887Z digest=sha256:42b8a5334521ac60b39457b0def188f50994149be92299520094ebfb97d173d1

Observation 68651136-030c-4e4f-87cb-ea9c6dfd2150 · outbound

This paper cites CRF learning with CNN features for image segmentation,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling CRF learning with CNN features for image segmentation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:00:27.879198Z

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=2026-08-05T18:00:27.606040Z digest=sha256:0682733da10b78473bdb6ed8b3572ae15ff2c42db1e75cc4ca1833aa5dfb3c43

Observation ea77ca1b-163b-4159-8031-cafa9e8b448f · outbound

This paper cites Long Short-term Memory,.

Predicting Road Crossing Behaviour using Pose Detection and Sequence Modelling Long Short-term Memory,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T18:00:27.700331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:00:27.700331Z digest=sha256:c0d82c69714712fc6343fb94724b00fa4a1bcfeb22e5fd526ad98a05ca7b2f20

Pith citing papers

No inbound Pith citation observations are available.