Paper Citation Record · LEDGER

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.22904.

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

pith.paper-citation-record.v1
2605.22904 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:44:40.636204Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

24 of 24 outbound references displayed

verified exact2
verified fuzzy20
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dbe6434-337e-44be-80b2-a04e0ae32e26 · outbound

This paper cites Rushi Kumar.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Rushi Kumar

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.208157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60bc0818-b26d-4eec-b6ec-71e61555ab4a · outbound

This paper cites Humans in the loop, lives on the line: Ai in high-risk decision making.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Humans in the loop, lives on the line: Ai in high-risk decision making

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.202830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b915f539-80cc-414b-83b1-e2a46bac282c · outbound

This paper cites Intelligent video surveillance for real-time detection of suicide attempts.Pattern Recog- nit.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Intelligent video surveillance for real-time detection of suicide attempts.Pattern Recog- nit

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.199185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bd09983-f3ef-4c82-8ae2-107c9ea61004 · outbound

This paper cites Using deep learning model integration to build a smart railway traffic safety monitoring system.Scientific Re- ports, 15.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Using deep learning model integration to build a smart railway traffic safety monitoring system.Scientific Re- ports, 15

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.193482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 571e4ee6-4482-44ff-bba2-993dd1099a1b · outbound

This paper cites Xgboost: A scalable tree boosting system.Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Xgboost: A scalable tree boosting system.Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.197153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bcba97b-0606-49a8-9fcc-c797561d9710 · outbound

This paper cites The role of new technologies to prevent suicide in adolescence: A systematic review of the literature.Medicina, 57.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations The role of new technologies to prevent suicide in adolescence: A systematic review of the literature.Medicina, 57

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.189497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0744bd5a-e209-4127-86ce-82fda2e93785 · outbound

This paper cites Osgood, Benjamin Yeoh, Eva Graham, and Heather Orpana.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Osgood, Benjamin Yeoh, Eva Graham, and Heather Orpana

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.191404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aed5b4a6-cada-43a3-b48b-44c56399ae1d · outbound

This paper cites Boring, and Anahita Khojandi.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Boring, and Anahita Khojandi

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.187627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32e8ffdf-4287-4c0d-ab26-029be5ff5901 · outbound

This paper cites Girshick.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Girshick

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.195244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d99ba7ff-f98f-42d1-bf12-c1c82303a770 · outbound

This paper cites Hightower and Mor- gan J.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Hightower and Mor- gan J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.200981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3434fb3-360e-4224-9165-3744c05aaf1d · outbound

This paper cites Ultralytics yolov8 https://github.com/ultralytics/ultralytics.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Ultralytics yolov8 https://github.com/ultralytics/ultralytics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.206514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3301e3c1-a83c-4717-be87-c3348ed2805f · outbound

This paper cites Laliberte, Brandon Roth, Beau Edwards, and Jason I.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Laliberte, Brandon Roth, Beau Edwards, and Jason I

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.185781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e7059f5-3769-4c5c-8443-34593f9840bf · outbound

This paper cites Behaviours preceding suicides at railway and underground locations: a multimethodological quali- tative approach.BMJ Open, 8.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Behaviours preceding suicides at railway and underground locations: a multimethodological quali- tative approach.BMJ Open, 8

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.182209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0ef75bc-18af-4ce3-8eb4-e36c197411b0 · outbound

This paper cites Mishara, C ´ecile Bardon, and Serge Dupont.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Mishara, C ´ecile Bardon, and Serge Dupont

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.184005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b49ce665-ba74-40a5-b057-75be2ced8f7f · outbound

This paper cites an unresolved cited work.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-08T12:34:55.171290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52d0f807-0219-4c16-ae59-1b2ad08300d1 · outbound

This paper cites Koudys, and Anthony C.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Koudys, and Anthony C

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.174848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17fba3cb-b986-4212-a02e-9d9d48747cdd · outbound

This paper cites an unresolved cited work.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-07-08T12:34:55.178443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c76ef6d-f73f-4e3a-b75b-a9b41bb69103 · outbound

This paper cites Information and com- munication technology use in suicide prevention: Scoping review.Journal of Medical Internet Research, 23.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Information and com- munication technology use in suicide prevention: Scoping review.Journal of Medical Internet Research, 23

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.180312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 658bddd5-50ba-44cc-b803-ae98b26db96f · outbound

This paper cites YOLOv3: An Incremental Improvement.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations YOLOv3: An Incremental Improvement

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-30T16:44:55.733802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1993a18e-3150-4245-9fb2-7164aca7324c · outbound

This paper cites Main characteristics of train-pedestrian fatalities on finnish rail- roads.Accident; analysis and prevention, 45:61–6.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Main characteristics of train-pedestrian fatalities on finnish rail- roads.Accident; analysis and prevention, 45:61–6

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.176652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45267356-38b7-465c-9728-95054093c8c4 · outbound

This paper cites Evaluating xgboost for balanced and im- balanced data: Application to fraud detection.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Evaluating xgboost for balanced and im- balanced data: Application to fraud detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.169640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcd25e13-73a7-4858-a84b-a6ca9741231c · outbound

This paper cites Deep high-resolution representation learn- ing for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43:3349–3364.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Deep high-resolution representation learn- ing for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43:3349–3364

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.173246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67affccb-c0ef-4f2c-9132-bdfc5a6b270f · outbound

This paper cites ByteTrack: Multi-Object Tracking by Associating Every Detection Box.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:55.731164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d820abf2-07be-422e-bd2f-cbabb0e56d71 · outbound

This paper cites The research on recognition of passenger abnormal behavior in urban rail transit stations based on conditional generative adversarial networks.Alexandria Engineering Journal.

Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations The research on recognition of passenger abnormal behavior in urban rail transit stations based on conditional generative adversarial networks.Alexandria Engineering Journal

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:34:55.204772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.