Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02369.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:55:43.184459Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:21:53.156244Z
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 9bfed6f1-2a18-4254-832c-c3fe35872b59 · inbound
Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering cites this paper.
Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:21:53.159209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 975f75af-30ea-4994-9684-789a6bb735c4 · inbound
O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation cites this paper.
O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:55:43.184459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.