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Paper Citation Record · LEDGER

Visual Point Cloud Forecasting enables Scalable Autonomous Driving

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.17655.

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

pith.paper-citation-record.v1
2312.17655 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:43:47.576260Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:43:47.610418Z

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 9114a0af-e88a-42fa-bdd2-9260f41c9173 · inbound

D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow cites this paper.

D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow Visual Point Cloud Forecasting enables Scalable Autonomous Driving

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:43:47.616750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:43:47.576260Z digest=sha256:c95e4626a98f4bdba0f754ddb5d48d0478f5034a938c903bbef6f09f20349fb9

Observation 76e51ebd-8770-434a-9749-036576ed0ecd · inbound

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving cites this paper.

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving Visual Point Cloud Forecasting enables Scalable Autonomous Driving

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T15:03:44.245884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:03:44.245884Z digest=sha256:913ed9aa059c72b2cffa76f1b046786d5780b5043ecb1aa20ef477d63ae95e8d