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Paper Citation Record · LEDGER

MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2312.02409.

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

pith.paper-citation-record.v1
2312.02409 v2

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 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:19.244179Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:22:19.690489Z

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 eeae8dd1-ef1d-404b-87af-fad1f6270af4 · inbound

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning cites this paper.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:22:19.698698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:22:19.244179Z digest=sha256:46ca030a355d674d408781f02553325604e80984ce98aeb40f59c24ec22218a7