Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.01586.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:06.101120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T21:55:05.824112Z
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 e2c32a8f-34cd-4489-84d4-6d462c0e2b69 · inbound
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors cites this paper.
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:40:06.101120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2acce9a-a918-4182-829c-147749c4d794 · inbound
Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.
Weakly Supervised Segmentation as Semantic-Based Regularization An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:29:27.972877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18ccea37-719c-4ba7-873b-65a0d17497fe · inbound
Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.
Weakly Supervised Segmentation as Semantic-Based Regularization An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T21:55:05.825628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.