Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.13290.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:26:10.655782Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T23:47:15.650231Z
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 ebc1ad58-555d-4456-80de-42a9704897b3 · inbound
Segment Any-Quality Images with Generative Latent Space Enhancement cites this paper.
Segment Any-Quality Images with Generative Latent Space Enhancement Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:47:15.655568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4015ad1e-4e98-430a-806e-28a7774615e2 · inbound
LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion cites this paper.
LangScene-X: Reconstruct Generalizable 3D Language-Embedded Scenes with TriMap Video Diffusion Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:26:10.655782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fe3aa1c-02df-4dfc-ab46-87c8142331e5 · inbound
Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.
Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T18:13:13.157427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.