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Paper Citation Record · LEDGER

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01757.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.01757 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:26.204993Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T08:46:48.568077Z

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 721858bc-9fdc-4fd4-be8e-6e24ebf41f79 · inbound

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization cites this paper.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:26.204993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:26.204993Z digest=sha256:b6851a2f813593c91f0ae483822d712f556f81e83974f32600bc2b2e53120d04

Observation 1c1e2d63-c802-44f6-b793-e6faf9513b8b · inbound

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives cites this paper.

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:48.569584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T08:45:04.024510Z digest=sha256:6efdff6989ec8c2629333948048dabc025450b7a19042a462493d4108ac42b3e