Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.00092.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:55:41.549202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T22:57:13.266946Z
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 e821c89d-c5c1-40c7-a44d-166aaebf846b · inbound
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.269849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ed77a04-0bfb-4c41-8055-b3e871859291 · inbound
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Reference 116
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:55:41.549202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5c29bbb-aa46-41f6-9cf1-f77383392e46 · inbound
Dual Latent Memory for Visual Multi-agent System cites this paper.
Dual Latent Memory for Visual Multi-agent System Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:04:50.853988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.