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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 2026-08-09T06:31:02.800959+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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:5bfd441d9964ac065b7715f67d1d90617a700df92c6b3af106db18b308088c75

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:8e41427b2350df60f2ba9ec22fdc781cce564949c3be30c712e5592d051514aa

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:ea42212cf703afbacedb5523f5e87e87b82bf68cfe224909318347ff314425fa

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T04:42:31.555355Z digest=sha256:44a4355523a0d5c012fa8e619e6ac99aea7ace1cc272fc0fe18ddd3f43df4e31

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.240180Z digest=sha256:61e93b1bb8f9f1a7927fbf4809d91645560b91f01172d4f4003404ebff8f200a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:03.428683Z digest=sha256:033c22801c679ab9773d456362becfeea537cf3215732a697e800c0783877061

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:49.830285Z digest=sha256:dc166bc95424c87b628d65ed74a79cbd0d3a8aff386f15c471b1551ee2e3b4ee

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:48:48.383996Z digest=sha256:8d254886ef0d5fba23d16c09637cc6e5622d50eabb8f9fb54d0a0b5d54d51048

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:01:25.452749Z digest=sha256:00e1793f18972142d6d7a7cad7cb4c2711c5ce5507fb943a48d5df71b82f2304

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:e815a1ef3793b5d15eaf2fbb450c0af3831b03c98ba7fa9500b764d839ef1a7f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:50:15.678990Z digest=sha256:b4da7e9582cb82f4ac03c721bf03151552cdf26bdacaefc76f968f0f8812c799

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T16:15:57.877354Z digest=sha256:2d4991bb0303a1df7d161c99aa886c695d9d3af5ac7c640ff4d923d0c3107d02

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:22:40.341435Z digest=sha256:1dcefc08489582bdb6d89737a8db551b469f902f0c7ab17d17c4c439367be159

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:19:18.121220Z digest=sha256:1cd9e2c8609eaaf0b5535334c59e913d2f0562bf42781dbd240547422f18fb98

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:39:02.693259Z digest=sha256:f6a2458ca8e503b3b34db06a6438747d18311546ddc113867d63fc6b607bc6f8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:51:35.213002Z digest=sha256:2a84d26bc13aa1242fb867c166fdd5eaac9412a57dbd7be3c76b52f0d76b9817

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:02:25.597640Z digest=sha256:31acd43cec6a2630264e996c46da5357c63154bfcc9f7991d75a3df60c35acc8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T18:08:07.096066Z digest=sha256:f5c2b10eabdce92117218eac2521d63ed8e775daaa95495bf8692cc58b6b12ca

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:43:07.394497Z digest=sha256:6e188fafd52d992dbe79d8a0a337a44bf44451a46455e20a323f116664307041

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T16:56:31.609426Z digest=sha256:047a5673bcf46a09f8dfca08ae51e0b272a10dc413118edd6e92921e6e49c398

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T18:41:53.436686Z digest=sha256:9cafb7f2625eef1be6105e72d7c6c0627ef0d9f838c18ce79aae7d39bcb6f0ce

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:10:12.356298Z digest=sha256:7bce5763eb8c7e171f514df38a67c3f02a80f5e850e62aea5b73cc548771faaf

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T22:29:44.078911Z digest=sha256:46302b464c1acab6f90ba530665b8e4d4af71fa6920ae6b358c3470b22282b82

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:14:27.880833Z digest=sha256:8711b8dd0f5e50d2ae53c9a18509698e146ce537eeba9737951c22834829de46

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T06:36:10.602334Z digest=sha256:53bf7f5e26e151ccbd7363a2958106b8458c7092756139d62f893b4645e169b2

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T23:52:24.977996Z digest=sha256:69792092935cf4022ca0531c9636e7a9b454ad11b6dadeb7a7c273dbc882c3c3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T00:55:17.107245Z digest=sha256:2a3466da5695a7a284b5b7e510d7ff05615a3fe7e51b5bc37d8930db48781436

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:44:42.371749Z digest=sha256:e4c6633135ccc2223482920eb733b2d9e4a9a6717a58285ad8a02d7c7dfdfb7b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:08:05.208068Z digest=sha256:2472ebdf484b918e630c253e48fdb211842c1f1e0033dec8e5ff05999b25bfd3