Paper Citation Record · LEDGER

Evolution through Large Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2206.08896.

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

pith.paper-citation-record.v1
2206.08896 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:17:55.240180Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2dbbfe1-5037-4d47-a63d-d9a4b973192a · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Evolution through Large Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:04:31.277808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e275e89c-220c-406a-9628-c3b1ceb9a0ac · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Evolution through Large Models

Reference 169

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:11:49.604386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5008e71c-6d61-46ca-8c28-6324496221f9 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Evolution through Large Models

Reference 198

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:35.195170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfad3312-356c-4e53-8891-6367b749aeba · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Evolution through Large Models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:42:32.181556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c440a9be-a455-4de1-80be-c79a067bcde2 · inbound

Automated Capability Discovery via Foundation Model Self-Exploration cites this paper.

Automated Capability Discovery via Foundation Model Self-Exploration Evolution through Large Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.240180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def2b7f9-068a-4483-a1d2-375dc17bdce1 · inbound

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms cites this paper.

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms Evolution through Large Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:03.428683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72e4654-acca-44ea-b19b-5dcf54fc34e2 · inbound

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space cites this paper.

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space Evolution through Large Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:49.830285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a65675a6-b2a8-42da-91e0-7c76d1806eac · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Evolution through Large Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:48.383996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9613352-2fef-4563-bff4-394b4b0448d1 · inbound

Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation cites this paper.

Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation Evolution through Large Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T12:01:25.452749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d40cab-7060-4479-8f01-5ad88f4bfc19 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution Evolution through Large Models

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:58:59.013118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab04af71-6669-4162-a7d7-70f219145a78 · inbound

SAIL: Sound Abstract Interpreters with LLMs cites this paper.

SAIL: Sound Abstract Interpreters with LLMs Evolution through Large Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T21:50:15.678990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d233cd8a-9a8b-4a6a-b2e7-10a727f2816a · inbound

Meta-Harness: End-to-End Optimization of Model Harnesses cites this paper.

Meta-Harness: End-to-End Optimization of Model Harnesses Evolution through Large Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:15:58.090110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 079aeaff-3baa-4dce-9c69-df2faf70ea1d · inbound

Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization cites this paper.

Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization Evolution through Large Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:23:13.388128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eadfd0f2-9592-45bc-8dfd-f44076a15091 · inbound

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search cites this paper.

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search Evolution through Large Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:06:05.617391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ade697c1-1ac6-45c7-b3c9-a91685f1860b · inbound

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search cites this paper.

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search Evolution through Large Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:25:58.448215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74271a57-4fac-4329-8637-761156fc55fe · inbound

Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design cites this paper.

Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design Evolution through Large Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:26:31.936537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efbc2e9a-17c6-4cd2-a2f4-de7b1ea82175 · inbound

FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale cites this paper.

FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale Evolution through Large Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:03:28.886863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fbfdf15-c4c7-4dc2-8e3a-d29811dfb744 · inbound

Effective Harness Engineering for Algorithm Discovery with Coding Agents cites this paper.

Effective Harness Engineering for Algorithm Discovery with Coding Agents Evolution through Large Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:12:42.706264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04df6dfe-840c-4089-9978-7164ba88f6db · inbound

optimize_anything: A Universal API for Optimizing any Text Parameter cites this paper.

optimize_anything: A Universal API for Optimizing any Text Parameter Evolution through Large Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:23.272837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6de4ed8a-1504-4206-b04b-e49e7f5af342 · inbound

Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure cites this paper.

Constitutional Arms Races in the Public Goods Game: Co-Evolving LLM Constitutions Under Cooperation-Defection Pressure Evolution through Large Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:50.335069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5988b506-791c-4cb4-9433-0edb32c85f1e · inbound

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search cites this paper.

DEI: Diversity in Evolutionary Inference for Quality-Diversity Search Evolution through Large Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:43:50.468470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcb56272-102b-4123-be0b-28f30af9e8bd · inbound

Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits cites this paper.

Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits Evolution through Large Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:14.959250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01430cf3-0dac-48c5-bd57-f742e7231d49 · inbound

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation cites this paper.

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation Evolution through Large Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.168877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 538dc00f-fd2e-4d46-8fa4-b9819e5c3f09 · inbound

LLM-Guided Evolution for Medical Decision Pipelines cites this paper.

LLM-Guided Evolution for Medical Decision Pipelines Evolution through Large Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:07:12.455264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 398c1577-2cea-45cf-87f3-32d1a55d6bb8 · inbound

Group Selection Promotes Prosocial Prompts in Populations of LLM Agents cites this paper.

Group Selection Promotes Prosocial Prompts in Populations of LLM Agents Evolution through Large Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:29:52.418036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71cb20fb-83fa-4666-89e6-2151a077ba6c · inbound

Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution cites this paper.

Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution Evolution through Large Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.412325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d409d13-8386-47ef-91c0-b4f60159d9cb · inbound

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems cites this paper.

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems Evolution through Large Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T00:55:17.107245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8251422-9507-49b9-bb52-3fa158c849cf · inbound

Heuristic Learning for Active Flow Control Using Coding Agents cites this paper.

Heuristic Learning for Active Flow Control Using Coding Agents Evolution through Large Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T04:44:42.371749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046e5aef-ee3e-4734-99f1-026b568d1e35 · inbound

Autonomous Discovery of Wireless Communications Algorithms cites this paper.

Autonomous Discovery of Wireless Communications Algorithms Evolution through Large Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:05.208068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.