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Paper Citation Record · LEDGER

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.02807.

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

pith.paper-citation-record.v1
2607.02807 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:56:07.062101Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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  • unresolved47
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19a86834-454f-4b20-a81c-f70fa3bc6fdc · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 1

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:2b86ae414cfb2391e7731fe8d6effce66f7e21ce8ae4133c3adfe0afcd3bc18a

Observation ea89c65b-17ae-4a47-b595-2e05f03acf5e · outbound

This paper cites CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization

Reference 2

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:484acfd5ad8ffa909b50abbe5127e48ba052a707fc7e571a35185614a67bb58f

Observation 73808a01-ff6f-4298-9b6d-4072d4941c24 · outbound

This paper cites Entropy-guided dynamic expert selection in mixture-of-experts models, January 2026.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Entropy-guided dynamic expert selection in mixture-of-experts models, January 2026

Reference 3

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:79300e1a46b6b8665608ab7b18d64636e7a46e90efc51a3ce1593c45f0f8b3d1

Observation c4f0d93f-b2ae-4f9c-aef7-7901dee354df · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 4

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:222f1555538226496fdb62d29e298292fab1f6a194a8f7fc84a03e71a2b88d9a

Observation eeccc956-5c61-4adc-b6c6-8b5a5f4fa18d · outbound

This paper cites Flex: Continuous agent evolution via forward learning from experience.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Flex: Continuous agent evolution via forward learning from experience

Reference 5

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:92dae03ba4f5e057c0fa5ef549f1520d21b900a08419735dc057dabb38129877

Observation f9660990-c339-4ea1-94e9-79194246866b · outbound

This paper cites Adaevolve: Adaptive llm driven zeroth-order optimization.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Adaevolve: Adaptive llm driven zeroth-order optimization

Reference 6

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:2688ca54d6b8500a9833c3abebea9e00f5c6259dcee5ebaa61f3b511bfce4db1

Observation 2e7d4434-3aca-4627-ba5e-571d833b3b6c · outbound

This paper cites Avo: Agentic variation operators for autonomous evolutionary search.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Avo: Agentic variation operators for autonomous evolutionary search

Reference 7

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:4750131cf08b28e3a5a7e47843e3d48bfafe494e4e213379d240dc587260c815

Observation 14f977e8-d03a-4666-b0c0-357e46b3535f · outbound

This paper cites Barbarians at the gate: How ai is upending systems research.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Barbarians at the gate: How ai is upending systems research

Reference 8

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:a029c08ae9861628dbd05499c74c7af1347865deb1171b116da5332a6118bfa8

Observation 961b16e2-bdf1-4b97-9c48-9eb1ae15058c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Training Verifiers to Solve Math Word Problems

Reference 9

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:e8045c6eb3ec0565fdb55f5dafbe7ad5cbd7823583386b9ea0d845f7780ba50b

Observation 3363c944-dfe7-427f-9782-0a8e40b18941 · outbound

This paper cites CodeMonkeys: Scaling Test-Time Compute for Software Engineering.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery CodeMonkeys: Scaling Test-Time Compute for Software Engineering

Reference 10

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:55ae10bdefdc0865b237de40f774262ea041d49483b69227e854c64939d8fc43

Observation de0b4d5c-a08b-445d-a351-c223dd5066a6 · outbound

This paper cites Towards an AI co-scientist.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Towards an AI co-scientist

Reference 11

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:694577e7a8cf30a495f1f3046797cffe4066b03375ff3e9a772c8cf5f2bcfc35

Observation 6cdf7362-7a25-413a-a2cd-e0478b920897 · outbound

This paper cites Sam decoding: Speculative decoding via suffix automaton.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Sam decoding: Speculative decoding via suffix automaton

Reference 12

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:cf1236f36d43d2c34c6ea74e24c67e47f3ab01efed9569f35d16dee602c2050d

Observation 767c3a7e-b00e-4ae1-87f6-d9e46702f794 · outbound

This paper cites SpecDec++ : Boosting speculative decoding via adaptive candidate lengths.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery SpecDec++ : Boosting speculative decoding via adaptive candidate lengths

Reference 13

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:2a063d59e23d5d85c83f460a5743599015ae4e85e79748a7f2f604bc552147c1

Observation cff85166-625f-4e4f-a0ea-be2ecd0c1beb · outbound

This paper cites Ale-bench: A benchmark for long-horizon objective-driven algorithm engineering.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Ale-bench: A benchmark for long-horizon objective-driven algorithm engineering

Reference 14

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:f70abad6c0708136346e5d56028cd1f29228604fee5c2bbdab0efabd5fdefd44

Observation c071f550-a027-4b47-8ecf-b51b4da6110f · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 15

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:1502d35f8835f9ede196fe380ac1bc4f6377b17148044af4569ee1460140b4c7

Observation 2c3641b7-1869-48fb-b966-71a39f3d7057 · outbound

This paper cites autoresearch, 2026.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery autoresearch, 2026

Reference 16

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:41d911c1d37fff539ed1d7987db3d1c4b3e407fa390475b361ceb9894daa3f27

Observation eb965f9b-8ccf-407b-b7e4-5e69aeaeabbd · outbound

This paper cites Mahoney, Amir Gholami, and Kurt Keutzer.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Mahoney, Amir Gholami, and Kurt Keutzer

Reference 17

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:4d53c883093c15839d51abb9b4066987278c570da146ddb6ed436e760e5be1fe

Observation 7e0ae0f8-cd0d-41d2-9249-06982c8490ce · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:5aea69dacb49c6f6e304b6b54860eded0e4345d5c20d1ea26a718d379cafef97

Observation 418ac93c-db37-4ed1-9dfc-5976e15eae83 · outbound

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

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Reference 19

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:aaf8495989124bf4a1a5b51fc35041cc9630fd08fdaf7822c7a36822be0627d2

Observation fec7ad0c-b3c4-4a03-a3fd-a25063c94e8f · outbound

This paper cites Fast inference from transformers via speculative decoding.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Fast inference from transformers via speculative decoding

Reference 20

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:ac5a37b6936fbfe90157a4b156d2335df9550785036a933f750ef7ce1460f60f

Observation 677cec20-ade8-41fd-9141-2a24f1e7baf9 · outbound

This paper cites EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Reference 21

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:bfbf8abda5b8797a62fe15bbb992acf2ea1f763c5f279d86d0c9db35e6686133

Observation 7e1f1269-e0bb-450e-9327-34d45c957114 · outbound

This paper cites Let's verify step by step.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Let's verify step by step

Reference 22

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:ca0b490ad58a4c67f1b9b43244c60047fafbe8ddbfc7d43c582afdafe46bad50

Observation 774a2e5b-4ffa-4a73-9a18-0f2e845d8dfd · outbound

This paper cites Evox: Meta-evolution for automated discovery.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Evox: Meta-evolution for automated discovery

Reference 23

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:cb832da13bee61f06a4ada5db08d372c5193970b1865808018e11991f34d78ce

Observation 5b1679fe-0438-4760-a23f-27fc253423d0 · outbound

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

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 24

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:d87a94b910c05e0a49fc791392088e7e9ebbea3082c02ac47bf2afb5f7615125

Observation 986c9f53-6ecf-4aa2-b836-c2f6b6cef4df · outbound

This paper cites AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference

Reference 25

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:deeae5f1b81bc3d92516d2eb6b116247a465a598ded006528e54d6f46067539a

Observation 65f68778-d1f5-448b-a360-bf21264d65d7 · outbound

This paper cites Performance: 53\ https://github.com/Shopify/liquid/pull/2056, mar 2026.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Performance: 53\ https://github.com/Shopify/liquid/pull/2056, mar 2026

Reference 26

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:ba32209fa185928de8bd72b34c9b8e00c823965a71beeb41eb8559d94338e9fc

Observation a3f288c0-e61f-410e-af22-e195e297f9ca · outbound

This paper cites AIME 2026.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery AIME 2026

Reference 27

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:f0f23abbf780a0cc6ad623d86c0e0c8f72ec6f2ae20290a79830c44beebaa46e

Observation 6d3e7af8-9bd5-4452-b72d-790e78069e3c · outbound

This paper cites Illuminating search spaces by mapping elites.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Illuminating search spaces by mapping elites

Reference 28

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:6c575ae6107b909f8e66f843da40b1a329325a5ff5281ed595d6d837054e8a54

Observation 5134690b-fe34-4890-ac56-8ed9dd705b31 · outbound

This paper cites s1: Simple test-time scaling.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery s1: Simple test-time scaling

Reference 29

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:a190c8d1411747314dd7a687f49fdb8475169c65587f30f01c72e011583fd2aa

Observation 1e6b77f3-ec87-4791-8bb2-1d808150c0cf · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 30

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:9b98f92b22bde8c81b87b5416b0ea7f2b33c0c71dd07c98a942395468e2bcfbc

Observation 777ae8e4-7c42-48cc-8546-555eda36272a · outbound

This paper cites Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs

Reference 31

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:c04405ef67577a1d637e31c09fefa28c95f36f4801bae37cd1f2c1c651312326

Observation 6cb03dad-1a9a-457f-bbcb-6e91d048dfd9 · outbound

This paper cites Humanity's Last Exam.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Humanity's Last Exam

Reference 32

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:ad6ee42a396c08299f6ada955768ef1d17888850d7d4f89c37e997c6ef943572

Observation cf93378d-e566-4952-96c2-8d19ed3678ca · outbound

This paper cites CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery

Reference 33

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:9ed015a73775638abe6550f63336aef12d8a994b8fb2f4b0d0cc5a13dab45c75

Observation b27a31dd-42c5-492a-8651-e92b594294d2 · outbound

This paper cites Recursive introspection: Teaching language model agents how to self-improve.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Recursive introspection: Teaching language model agents how to self-improve

Reference 34

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:d7e8c8da4c696817f179ffcc08eaa5880d363ee78f89cce55ebbf39da0577335

Observation 5eba0648-fc39-4669-a539-2edf3754db5e · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 35

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:685ed0a3ffaac61be0c2f79d7f935f0c02ad0232994d3b44ac67b01d799aa743

Observation f389a5b5-cd2f-40a2-b51a-fcc92782247e · outbound

This paper cites Autokernel.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Autokernel

Reference 36

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:f7a1122f71ef00012af1eb04b3ab9ef155677db3fbe25f201200ebfa736be595

Observation 12138329-3098-4f31-a64c-c1e407d96b46 · outbound

This paper cites Hive, 2026.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Hive, 2026

Reference 37

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:9434c64532789068622bcf0ecec3f977bb366f8e9cef80d2d51b6ba566e8df71

Observation 64bdc57c-785d-48e5-beb2-9ee25856f9f0 · outbound

This paper cites Mathematical discoveries from program search with large language models.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Mathematical discoveries from program search with large language models

Reference 38

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:efe09770da6097794b4b4a7d759b4d2cb58923079ccb1a6f9fa7a05f4bc27875

Observation 9198a6f7-9c40-46db-8ed0-5a874ee534dc · outbound

This paper cites Openevolve: an open-source evolutionary coding agent, 2025.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Openevolve: an open-source evolutionary coding agent, 2025

Reference 39

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:be08897924918f222f1260b34c7464d51980b06ebbf377428b5d52ce372a8423

Observation ec4924e5-430f-4eb7-b06a-789cba74ffae · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 40

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no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:154b888fe92a1e9f494ef9625cd46d0ce4eb226b74c749307d584f4d60203ec9

Observation dcb9b04b-fbd9-4635-b2dd-70866373d9db · outbound

This paper cites ThetaEvolve: Test-time Learning on Open Problems.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery ThetaEvolve: Test-time Learning on Open Problems

Reference 41

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unresolved
no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:f53aeeae68bedd2a2668ae88b5423c03e65ccb0f469d62ad0666cd215df755be

Observation f29c9bae-0bbd-42dc-932b-e24c99de737c · outbound

This paper cites Agentless: Demystifying llm-based software engineering agents.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Agentless: Demystifying llm-based software engineering agents

Reference 42

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unresolved
no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:267d766902ea9981640913b5e709938976e2fed4419d285ad9651983eddd5bc6

Observation 9a14c36c-6441-45bd-a49c-3343a5172d3d · outbound

This paper cites Pacevolve: Enabling long-horizon progress-aware consistent evolution.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Pacevolve: Enabling long-horizon progress-aware consistent evolution

Reference 43

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no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:5c650f1a647b54aa74b2d161f4bfc906260600060102007cd80a891100cab6f4

Observation 8b931106-bc62-4273-9d0f-4fc49a15de8c · outbound

This paper cites Evaluation-driven Scaling for Scientific Discovery.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Evaluation-driven Scaling for Scientific Discovery

Reference 44

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no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:f71236bc7bd86edff2c20ddb53f8bf278fe482bf081571a9cd1d60e9d1f701ab

Observation ed60c5d4-ae6a-4248-bc63-394472145364 · outbound

This paper cites Learning to Discover at Test Time.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Learning to Discover at Test Time

Reference 45

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no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:5c7345f3389455d713f9a4a18b3874a26c9801c44b7e5bda8123882d0afd49c7

Observation 3b477fa9-0931-49e3-848b-2adef6fde303 · outbound

This paper cites Pi coding agent.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Pi coding agent

Reference 46

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unresolved
no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:afdf96d6dc4932eac59c11ccbb878f2149ac91a21acde9455527f59ec8c7a670

Observation 54dfda8b-dd22-48f2-ba6b-e8dd3e8b80a0 · outbound

This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Gonzalez, Clark Barrett, and Ying Sheng

Reference 47

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unresolved
no resolver link, observed 2026-07-12T06:56:07.062101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T06:56:07.062101Z digest=sha256:13d5524ab4aa46049af514a6f1fe136f05e95e73cd12782850949b5b7bf484ba

Pith citing papers

No inbound Pith citation observations are available.