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Paper Citation Record · LEDGER

Recurrent Network Models for Human Dynamics

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1508.00271.

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

pith.paper-citation-record.v1
1508.00271 v2

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 2026-08-10T22:19:28.538192Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

73
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ccc56544-05c0-4d68-b7d1-c04b43e1c812 · inbound

Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting cites this paper.

Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting Recurrent Network Models for Human Dynamics

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:28.538192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:28.538192Z digest=sha256:c5da2a87da4be50aadbc2c57310abc311bf821204e1446d387a17224268590be

Observation bbcc2031-6df2-41c3-a316-263f1038b1c4 · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Recurrent Network Models for Human Dynamics

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:06:46.869200Z

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=2026-08-07T12:06:24.008739Z digest=sha256:ba133d83faeca1b523ac046790a52494cc70837c2bab1540ea444b396ac0a03c

Observation a4715ca3-d8ee-4f81-bb41-f5a460d629b5 · inbound

Agent-Centric Animal Pose Forecasting cites this paper.

Agent-Centric Animal Pose Forecasting Recurrent Network Models for Human Dynamics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T12:28:57.321372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:28:57.321372Z digest=sha256:fda37e15064b9103de1acb6fe52b9fba6673d04543705dcd18ab24f444b9dc84