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Paper Citation Record · LEDGER

Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.02916.

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

pith.paper-citation-record.v1
2401.02916 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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:32:07.348859Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:02:15.122600Z

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 418194d5-8d75-4e4c-825b-53dda5f7cab7 · inbound

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution cites this paper.

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T23:32:07.348859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:32:07.348859Z digest=sha256:f67fb92bd420860642bb95c1ae72d26a35e228cc80194c31ec0dbc5659d31934

Observation f331756d-d9e3-4ac7-8db3-64d6ed8c1cfd · inbound

Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review cites this paper.

Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:02:15.125924Z

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=2026-05-19T08:58:28.748023Z digest=sha256:08822ad2386e452939143b5c5ecd3e5c33d0965816d1688ecf91a5fe60da3859

Observation ae68bafd-fa40-4e05-966d-683c38438825 · inbound

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario cites this paper.

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:19:38.867264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:19:38.867264Z digest=sha256:049f85eb171675e8e74db7c9a134c8bbade5d51b0fca2660b04572cf79e2b3a4