Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.11118.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:55:04.301785Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:23:54.726220Z
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 af16e341-d9a9-4d55-8e46-94702b00364f · inbound
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions cites this paper.
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:55:04.301785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14036e11-9fce-404d-9b1e-f4864e6405f5 · inbound
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving cites this paper.
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:47:51.467059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 035a3187-dafe-4e95-9d06-a0350ff21823 · inbound
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free cites this paper.
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:23:54.793634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.