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Paper Citation Record · LEDGER

When Large Language Model Meets Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.10098.

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

pith.paper-citation-record.v1
2405.10098 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:51:22.244036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:15:48.383989Z

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 0a242d4f-a770-4f0d-9b9e-7f06d5c5d978 · inbound

Accelerating Quantum Eigensolver Algorithms With Machine Learning cites this paper.

Accelerating Quantum Eigensolver Algorithms With Machine Learning When Large Language Model Meets Optimization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:15:48.387364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:13:39.576927Z digest=sha256:d69148b032e0da70e5474ea61d5597e124e35b30524301d6cc483ecdfa86ee56

Observation 18946ef5-b68c-4256-923b-a4baf9187b29 · inbound

Decision Information Meets Large Language Models: The Future of Explainable Operations Research cites this paper.

Decision Information Meets Large Language Models: The Future of Explainable Operations Research When Large Language Model Meets Optimization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:51:22.244036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:51:22.244036Z digest=sha256:0729f57326db7e7c17c31909a310708163aff77ad72e9893a7e6cbde61f96ebc

Observation 71108e99-fa7a-46c6-8a6a-0cd267742b4d · inbound

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs cites this paper.

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs When Large Language Model Meets Optimization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:48.731007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:48.731007Z digest=sha256:54d81b5985e66fe255698f165109437c5db8b7b4c200847d7954192612cee8be

Observation 13dd25b8-0099-4ef0-814c-a01558ad51b7 · inbound

CHAL: Council of Hierarchical Agentic Language cites this paper.

CHAL: Council of Hierarchical Agentic Language When Large Language Model Meets Optimization

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:59:25.831096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T19:59:13.378797Z digest=sha256:8d2895708070c6f4a226521873c2316af35a4d2dd166d822766bc5a82afcc6b4