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Paper Citation Record · LEDGER

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1511.05298.

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

pith.paper-citation-record.v1
1511.05298 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:47.545935Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:04:05.268725Z

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 c65b5708-4687-4dc7-83fa-06df0facceb4 · inbound

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics cites this paper.

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:04:05.354004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:04:03.960890Z digest=sha256:333ee76fd202b9d56ef671bde7c94007008a9304190f22292f3d597c47b6035e

Observation 156a72ff-61c6-4bb9-a115-8a585688a256 · inbound

Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment cites this paper.

Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:47.545935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:18:47.545935Z digest=sha256:e2827daa2d7fe5fcaf7270bcd325ee00333df38a4cf300a16f6e84c6b0660352