Paper Citation Record · LEDGER

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2506.15196.

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

pith.paper-citation-record.v1
2506.15196 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:58:34.995892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:51.927035Z

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 246d992a-2ad3-4ab3-b631-c9676a72a028 · inbound

Agentic MIP Research: Accelerated Constraint Handler Generation cites this paper.

Agentic MIP Research: Accelerated Constraint Handler Generation HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:16:16.325929Z

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.

Observation aae8baaf-9fb6-4dfd-aae6-ded229d65982 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:59:32.542518Z

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.

Observation 1d4b51d8-043c-4c0b-96f5-c9dfa9934226 · inbound

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs cites this paper.

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:51.928373Z

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.

Observation 04d41dc0-3c39-47b1-be74-97c226c0c6a0 · 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 HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:46:48.572147Z

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.

Observation ed80e201-27da-44de-949d-3e3872e8b77b · inbound

TopoFE: topology-aware LLM-guided Automated Feature Engineering cites this paper.

TopoFE: topology-aware LLM-guided Automated Feature Engineering HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-31T23:58:34.995892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.