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Paper Citation Record · LEDGER

PIP-Net: Pedestrian Intention Prediction in the Wild

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.12810.

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

pith.paper-citation-record.v1
2402.12810 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:30:59.584721Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:59:57.136265Z

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 005c3aba-1b2a-4059-a176-578c0cfc3612 · inbound

Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey cites this paper.

Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey PIP-Net: Pedestrian Intention Prediction in the Wild

Reference 187

Resolution
unresolved
no resolver link, observed 2026-08-12T05:30:59.584721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:30:59.584721Z digest=sha256:6284c1bf5d00619fe40fadc90d61bc54bccce0fbdc92f5e2cdd3715e8fdea8b2

Observation 8a87e33a-a222-4467-b198-55377e59f960 · inbound

Pedestrian Intention Prediction via Vision-Language Foundation Models cites this paper.

Pedestrian Intention Prediction via Vision-Language Foundation Models PIP-Net: Pedestrian Intention Prediction in the Wild

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:59:57.232162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:59:54.015290Z digest=sha256:be8010b9e53e20892ca87172860c667a8f83e2d0b4c5e72fdb7574395158949a

Observation 48c6628f-9e58-4734-b79d-24cbf097f99e · inbound

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety cites this paper.

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety PIP-Net: Pedestrian Intention Prediction in the Wild

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-04T13:28:00.176571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:28:00.176571Z digest=sha256:d90f00632e9953700afbe6e474a3013b08f4e940bce8699675f7246c2cd8a407