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Paper Citation Record · LEDGER

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.20848.

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

pith.paper-citation-record.v1
2410.20848 v1

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:29.524476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:59:32.503975Z

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 06e5239f-d2d3-4449-b802-05f3b6ea10fb · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-10T20:26:29.524476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.524476Z digest=sha256:f648cd604aca75e3c8ed83cd26d586b4a99eb933a787c44135e8b8967a3f5b1c

Observation 54ef6157-b41f-4606-8dcd-8dbdebff6fd9 · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:05.609281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:05.609281Z digest=sha256:e10061dc169133c0d20577279f469703bb7bc6ea6860f567f3e11681640deb6c

Observation 8e94ff77-1256-4085-9207-b61fa4c40faf · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:31.871313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:31.871313Z digest=sha256:79077bbd3176c81749b9ea1105ba893b644ba55ce8491c266062736d6e404a98

Observation 8e2df912-d7f6-48e6-9e16-9e8d0a84f647 · 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 Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.246626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.246626Z digest=sha256:4f6385fae721b73da2a46b32c8e27815d56a0399a4743e0d444570532769a63f

Observation 38033fc0-daa7-4175-b251-0d367c5fe1cf · inbound

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

Large Language Models for Operations Research: A Comprehensive Survey Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.505374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:1a8c948bdcdfb2d5f09f1a247bdac0bcd85b2ed29d06df8097e03abbe6c23b80