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Paper Citation Record · LEDGER

Large Language Models as Evolutionary Optimizers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.19046.

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

pith.paper-citation-record.v1
2310.19046 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:41:51.151529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:03:26.402053Z

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 16b92caf-f390-4179-8dd5-1c5402e12b67 · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Large Language Models as Evolutionary Optimizers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:03:26.405092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T21:02:03.017690Z digest=sha256:1621c00a01fe2b703cad21444dbf9ed3ac26ad79a2647de34854a6c1295b3f81

Observation 26a486f6-ca11-4903-ab76-4ee827a6e723 · inbound

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message cites this paper.

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message Large Language Models as Evolutionary Optimizers

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T19:41:51.151529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:41:51.151529Z digest=sha256:abf524f3030522e20655c1ef35e25974636db2b3c4956ffb244e01c7bca23599

Observation 57771152-9693-43bf-ae43-bfad4628c996 · inbound

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models cites this paper.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Models as Evolutionary Optimizers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.157861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.157861Z digest=sha256:f4d992f0b7b0692fc0cdc7b68f0dee31234d7f2bd65b31ca387efa3497d0ca01

Observation 3ae6fd86-6e4a-4f93-9c74-48d0f7b5c7b1 · inbound

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention cites this paper.

ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention Large Language Models as Evolutionary Optimizers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:34.607658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:34.607658Z digest=sha256:33c1fc44b8ebca38d589bc16466f3c52be6c7a7a1944658862cf567d51a2e072

Observation 7e66dd1d-b2e3-4417-bc66-7e640a7db153 · inbound

On the Convergence of Large Language Model Optimizer for Black-Box Network Management cites this paper.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management Large Language Models as Evolutionary Optimizers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:42.534476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:42.534476Z digest=sha256:a8207ecf959b642b8d072807907b5b121f99e94487d729de8d4e66c04dabf3bf

Observation eb612ac0-93e8-4977-bc73-41ba9367588d · inbound

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm cites this paper.

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm Large Language Models as Evolutionary Optimizers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T05:31:06.596475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:31:06.596475Z digest=sha256:c63f463690734e5fd134b7382c9f96dadf4106ec587f352e885ef726d7facd0c

Observation f1a5d70a-cfbf-4802-bf91-85426608dcf7 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Large Language Models as Evolutionary Optimizers

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:05.283748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T05:03:28.824500Z digest=sha256:935f4f4c3e079e6dd16337665ca09a1cdc28061ac218f9104961d903890b75f4