Pith. sign in

Paper Citation Record · LEDGER

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.07704.

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

pith.paper-citation-record.v1
2206.07704 v1

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:24:42.792104Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:22:58.690884Z

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 65fff345-5c69-44a5-8ef9-ca527662e212 · inbound

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation cites this paper.

Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation Waymo Open Dataset: Panoramic Video Panoptic Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:11:50.161589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:11:50.161589Z digest=sha256:e51ca39a96fc1c28b605daca64c9a85d6c706de05e9efb95944a0406cc849068

Observation 366bea1a-9f63-424d-8f84-c07bfd597e6b · inbound

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring cites this paper.

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring Waymo Open Dataset: Panoramic Video Panoptic Segmentation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T10:24:42.792104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:24:42.792104Z digest=sha256:a34a9893f1427d1d651fff3da725536dea40098cfa7f4cd6ebdfbfdd2013b04a

Observation 0d054efd-2320-42c3-a9e3-4f07d0fe7990 · inbound

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment cites this paper.

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment Waymo Open Dataset: Panoramic Video Panoptic Segmentation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:22:58.745329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:22:54.047920Z digest=sha256:9ece8049f9563be11eb3a23949cfce0d1b41924f8ebc60d6113e1ff1ce305bc6