Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.01261.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:29:01.094190Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T11:29:01.271286Z
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 d8e74d68-641c-4462-ab1a-a961132b9137 · inbound
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting cites this paper.
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting OCC-MLLM:Empowering Multimodal Large Language Model For the Understanding of Occluded Objects
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T11:29:01.281300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.