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Paper Citation Record · LEDGER

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.08045.

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

pith.paper-citation-record.v1
2401.08045 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 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:18:30.486507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:21:35.729548Z

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 8d17c79f-ab75-425d-8841-33095640e46e · inbound

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:21:35.732896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-22T13:18:30.486507Z digest=sha256:460a07be28786f4a28eed37e291cc8ad6b66ba31028e036bf5233804af963c2a

Observation de865685-4f6f-4c08-b4e6-97453d3968c5 · inbound

Training a Student Expert via Semi-Supervised Foundation Model Distillation cites this paper.

Training a Student Expert via Semi-Supervised Foundation Model Distillation Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:53:00.108192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T16:50:57.376622Z digest=sha256:0bdb9860e7e3ec631071fd3dd51b7ee02b80f241e6ae29c74de1561a3f20553b