Pith. sign in

Paper Citation Record · LEDGER

Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.15615.

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

pith.paper-citation-record.v1
2311.15615 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:18:11.458959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.358111Z

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 1f6a93c5-af34-450d-ad05-2d0b39b46414 · inbound

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction cites this paper.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T07:18:11.458959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:18:11.458959Z digest=sha256:9a80fd4fbeb9529b1398eb22ff3f51d37cd0300be150e07f72bb1f2623b99762

Observation 28d8152d-51f3-440d-a8ba-5d113dd13635 · inbound

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data cites this paper.

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:15:58.601806Z

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=2026-05-10T16:45:48.683783Z digest=sha256:2dffa50cc62541684a13f3c638b9dc6e18782485002931359cfeb4e10d961761

Observation bc6362c2-79ce-4e2b-82a8-06a4cb87cc36 · inbound

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data cites this paper.

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T16:35:20.110031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:20.110031Z digest=sha256:4c2a76bfcc6fbcf7c5516e081658ebe9cde76a0afe2749b376a199e87f36c3dd

Observation cdca5fb8-136e-41b5-9266-01a073974ab4 · inbound

AutoMine Solution for AV2 2026 Scenario Mining Challenge cites this paper.

AutoMine Solution for AV2 2026 Scenario Mining Challenge Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:48:02.360221Z

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=2026-06-27T09:50:44.030926Z digest=sha256:49feb10b19d94cc97aa4a7687ac4417a12a0321e4f1d8dc73445fb594de8ba7f