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Paper Citation Record · LEDGER

Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00490.

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

pith.paper-citation-record.v1
2406.00490 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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:17.442467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:51:15.437416Z

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 8eef3a91-544a-41e1-972b-52bb6db1335f · inbound

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection cites this paper.

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:17.442467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:14:17.442467Z digest=sha256:c1321a492c5b3d1cfe7be1302629055d38264415198b972926696bf16edd917a

Observation da6abe06-0b9c-4ebf-a320-0c6b06442bff · inbound

TEACar: An Open-Source Autonomous Driving Platform cites this paper.

TEACar: An Open-Source Autonomous Driving Platform Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:41:14.888213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T02:43:45.087804Z digest=sha256:28d4f361113be446a60e147e14ec4a2d19cae32e6543d15aa9ba33288cd60634

Observation 22fd70ec-a3b1-4c96-ab77-fc778b32569e · inbound

TEACar: An Open-Source Autonomous Driving Platform cites this paper.

TEACar: An Open-Source Autonomous Driving Platform Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:51:15.440451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T00:49:58.182424Z digest=sha256:a2a464320bb5bdbd4a33cde116ad1e911accf3176d4ad7a9939449a76f6bdd75