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Paper Citation Record · LEDGER

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.07864.

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

pith.paper-citation-record.v1
2006.07864 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:33:49.398266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T20:16:37.387624Z

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 0baf6043-f15b-4001-908e-97c11a7a1578 · inbound

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting cites this paper.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:16:37.390457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T20:16:37.290099Z digest=sha256:a40742f70b57a74ad455537b341d240165f5dbe24ac15f9fac1305f6ae351962

Observation 4ea8659d-d612-45db-9d96-7479bf12f50e · inbound

ToosiCubix: Monocular 3D Cuboid Labeling via Vehicle Part Annotations cites this paper.

ToosiCubix: Monocular 3D Cuboid Labeling via Vehicle Part Annotations Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:49.398266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:49.398266Z digest=sha256:ab78d2e99d2c9eb50766d5404158fa3a0a389e2302c91a588011f794f1607516