Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.00360.
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 2026-08-07T14:04:42.649660Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:18:30.014864Z
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 4e74b6fc-6280-4516-a533-9be7d3afd704 · inbound
DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization cites this paper.
DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:42.649660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30295ddd-2af1-4985-a9fc-73c1f12c7b43 · inbound
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision cites this paper.
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:18:30.100016Z
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 afa845c1-4515-4aef-a7e1-0fb2a2eac19c · inbound
Multimodal SAM-adapter for Semantic Segmentation cites this paper.
Multimodal SAM-adapter for Semantic Segmentation Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:10.219394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.