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Paper Citation Record · LEDGER

Robots That Can See: Leveraging Human Pose for Trajectory Prediction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.17209.

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

pith.paper-citation-record.v1
2309.17209 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:00:46.811637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.222911Z

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 72629a60-4475-4571-8bec-2367f8d03e66 · inbound

Three-Step Hierarchical Transformer for Multi-Pedestrian Trajectory Prediction cites this paper.

Three-Step Hierarchical Transformer for Multi-Pedestrian Trajectory Prediction Robots That Can See: Leveraging Human Pose for Trajectory Prediction

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:19:47.224281Z

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.

source=pdf_text observed=2026-06-26T09:00:46.811637Z digest=sha256:485f30c2a5d63702280e4da2fecbdd6a5bea631ca4cf9159dc804f0643254030