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Paper Citation Record · LEDGER

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03790.

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

pith.paper-citation-record.v1
2408.03790 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:39:13.155907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:05:47.856846Z

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 ba6cf3cc-d792-4bdf-8705-37bf94aae33a · inbound

VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving cites this paper.

VESPA: Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T13:39:13.155907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:39:13.155907Z digest=sha256:5338e30a657b74014283566f7d263ac137b4d23a7bf3b74d967871e200be9ebd

Observation c9ac6665-3828-4c3a-bddf-7fa8be94ae18 · inbound

Unsupervised Multi-agent and Single-agent Perception from Cooperative Views cites this paper.

Unsupervised Multi-agent and Single-agent Perception from Cooperative Views Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:47.861765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T20:17:18.942843Z digest=sha256:7660fb5def4621d6ffc9f4609d129d39e03fd8225a9b4fb57e2bf6d30fef285b