Paper Citation Record · LEDGER

Real-time Traffic Accident Anticipation with Feature Reuse

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.17449.

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

pith.paper-citation-record.v1
2505.17449 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:08.531762Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy17
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e745614-e407-4f92-8aa5-14b87984f25f · outbound

This paper cites Milestones in autonomous driv- ing and intelligent vehicles: Survey of surveys,.

Real-time Traffic Accident Anticipation with Feature Reuse Milestones in autonomous driv- ing and intelligent vehicles: Survey of surveys,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:12.448803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f6d3665-765f-4cd8-952f-94d8a5e452c3 · outbound

This paper cites an unresolved cited work.

Real-time Traffic Accident Anticipation with Feature Reuse Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:49:12.196475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6e21df1-a353-432c-9f11-30d0bfe5083b · outbound

This paper cites A comprehensive review on limitations of autonomous driving and its im- pact on accidents and collisions,.

Real-time Traffic Accident Anticipation with Feature Reuse A comprehensive review on limitations of autonomous driving and its im- pact on accidents and collisions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:11.921954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6afaecee-31d6-4728-a9b5-5be78d7cb2a2 · outbound

This paper cites Anticipating accidents in dashcam videos,.

Real-time Traffic Accident Anticipation with Feature Reuse Anticipating accidents in dashcam videos,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:11.696791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cafd5a75-47d4-49a7-8e48-527677219d2b · outbound

This paper cites Uncertainty-based traffic accident anticipation with spatio-temporal rela- tional learning,.

Real-time Traffic Accident Anticipation with Feature Reuse Uncertainty-based traffic accident anticipation with spatio-temporal rela- tional learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:11.535714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9941e3c9-2052-45b0-8234-ac4c512069fe · outbound

This paper cites An attention-guided multistream feature fusion network for early localization of risky traffic agents in driving videos,.

Real-time Traffic Accident Anticipation with Feature Reuse An attention-guided multistream feature fusion network for early localization of risky traffic agents in driving videos,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:11.389369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50313600-77ce-4fe7-8953-48ada308b176 · outbound

This paper cites However, this improvement comes at the cost of a significant mTTA drop, approximately 1.5 s.

Real-time Traffic Accident Anticipation with Feature Reuse However, this improvement comes at the cost of a significant mTTA drop, approximately 1.5 s

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:12.740540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2af06b09-93ce-48ad-a59e-84d98aa89e1b · outbound

This paper cites Gsc: A graph and spatio-temporal continuity based framework for ac- cident anticipation,.

Real-time Traffic Accident Anticipation with Feature Reuse Gsc: A graph and spatio-temporal continuity based framework for ac- cident anticipation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:11.147408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 694e87dc-1615-44c2-b51b-65509d17a433 · outbound

This paper cites A dynamic spatial-temporal attention network for early anticipation of traffic accidents,.

Real-time Traffic Accident Anticipation with Feature Reuse A dynamic spatial-temporal attention network for early anticipation of traffic accidents,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:10.876979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1adda318-3b55-4f6a-a8db-14ed56b0a1f7 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Real-time Traffic Accident Anticipation with Feature Reuse Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:07.373088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909d276a-84e7-46a0-8da9-9ce321eaf681 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Real-time Traffic Accident Anticipation with Feature Reuse Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:07.474397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102d6616-6d36-4206-8fcb-b116de3d4f91 · outbound

This paper cites Anticipating traffic accidents with adaptive loss and large-scale incident db,.

Real-time Traffic Accident Anticipation with Feature Reuse Anticipating traffic accidents with adaptive loss and large-scale incident db,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:10.660696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9667e42e-9afb-4a3e-94da-bfa28fe361df · outbound

This paper cites Unsupervised traffic accident de- tection in first-person videos,.

Real-time Traffic Accident Anticipation with Feature Reuse Unsupervised traffic accident de- tection in first-person videos,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:10.407169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bef98a3c-82fd-4fc8-8113-0c0d710941c9 · outbound

This paper cites Dota: Unsu- pervised detection of traffic anomaly in driving videos,.

Real-time Traffic Accident Anticipation with Feature Reuse Dota: Unsu- pervised detection of traffic anomaly in driving videos,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:10.135729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a7c4c46c-2f4f-44cf-bc3e-0958afda0d23 · outbound

This paper cites Drive: Deep rein- forced accident anticipation with visual explanation,.

Real-time Traffic Accident Anticipation with Feature Reuse Drive: Deep rein- forced accident anticipation with visual explanation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:09.805191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3886da8a-b852-473b-986e-a7d8e2050d62 · outbound

This paper cites Toward explainable artificial intelligence for early an- ticipation of traffic accidents,.

Real-time Traffic Accident Anticipation with Feature Reuse Toward explainable artificial intelligence for early an- ticipation of traffic accidents,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:09.647418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed96f5dc-0d28-4c7c-8b30-231a23b6fc7a · outbound

This paper cites Drama: Joint risk localiza- tion and captioning in driving,.

Real-time Traffic Accident Anticipation with Feature Reuse Drama: Joint risk localiza- tion and captioning in driving,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:09.390278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8dd9d521-146e-411b-96aa-085727ab51da · outbound

This paper cites Abductive ego-view accident video understanding for safe driving perception,.

Real-time Traffic Accident Anticipation with Feature Reuse Abductive ego-view accident video understanding for safe driving perception,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:09.180294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eec39296-4567-47e1-b9a7-78888fcd1fc1 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

Real-time Traffic Accident Anticipation with Feature Reuse YOLOv10: Real-Time End-to-End Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:08.246588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89df2165-da02-45f6-9cc7-9cb65f0723aa · outbound

This paper cites Mask r-cnn,.

Real-time Traffic Accident Anticipation with Feature Reuse Mask r-cnn,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:09.038746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40779f5f-c3f0-499f-ba3c-e2a62297e790 · outbound

This paper cites Cbam: Convolutional block attention module,.

Real-time Traffic Accident Anticipation with Feature Reuse Cbam: Convolutional block attention module,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:08.462306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e28882-0e50-4a31-84b2-5eb547c85abf · outbound

This paper cites Agent-centric risk as- sessment: Accident anticipation and risky region local- ization,.

Real-time Traffic Accident Anticipation with Feature Reuse Agent-centric risk as- sessment: Accident anticipation and risky region local- ization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:08.826543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.