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Paper Citation Record · LEDGER

Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions

As of 19 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.

pith.paper-citation-record.v1
2306.13290 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:26:10.655782Z

measured 0 of 1 external citation measurements

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T23:45:38.970279Z digest=sha256:8af975b0e34ea4d92e20414807765c3dd092daa865a7c79f5234e8b90f6ae944

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.

source=pdf_text observed=2026-08-06T20:26:10.655782Z digest=sha256:17ce69cc60ed1842600c5b0db52ad00c4f86330b7e58b3383f88771df54c9447

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T18:11:47.141366Z digest=sha256:937497785228594ede6e0c0b2f1cc449668dbd814062b7894642779c0862f8f8