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Paper Citation Record · LEDGER

Learning Lane Graph Representations for Motion Forecasting

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.13732.

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

pith.paper-citation-record.v1
2007.13732 v1

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:09.918383Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:49:15.054435Z

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 56be4493-a4a0-4e36-a971-f796e4c37173 · inbound

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling cites this paper.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling Learning Lane Graph Representations for Motion Forecasting

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-16T10:41:09.918383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:41:09.918383Z digest=sha256:d8602001d751d69cdd31d69cd9d2ee453fb3907e3e50bfe17aa815f3337de784

Observation 6461e5fb-e054-4672-83cf-106621710998 · inbound

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections cites this paper.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning Lane Graph Representations for Motion Forecasting

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:15.123765Z

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=2026-08-06T23:49:13.400237Z digest=sha256:b3fd4710a622d17401137d37be84ea4b3c16e56b920434b998d1bf47c6390910