Pith. sign in

Paper Citation Record · LEDGER

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.00510.

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

pith.paper-citation-record.v1
2509.00510 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:38:18.197913Z

measured 51 of 51 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 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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation feb1beba-b064-403d-85f9-4353cde496ae · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:28.755617Z

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=2026-08-05T13:38:12.683467Z digest=sha256:0d824bd75918a654197f44385d100d53017a9eb6aadbc828227ff266102e51f4

Observation 139e065d-07fe-46f5-b416-a9d7b82f08c8 · outbound

This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:28.444448Z

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=2026-08-05T13:38:12.770656Z digest=sha256:55dff4f02450ed8674de5f10d7edcd484b51a456713e16a5bb7ba077a79fa857

Observation 2fb39ce3-57de-4a75-9289-792bc6b07640 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:12.885384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:12.885384Z digest=sha256:f1f9bd4afa1af7569ef716a78526a8534b0dffac88ac65651a93df410be877b9

Observation 27b1842f-445e-4611-bfe2-83fdf97471c9 · outbound

This paper cites Multi-agent systems powered by large language models: applications in swarm intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-agent systems powered by large language models: applications in swarm intelligence

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:28.234792Z

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=2026-08-05T13:38:13.022638Z digest=sha256:01ff7da8e1eb5a77b1a0d84ee04622bf1fd11460405f0109b1dd29579d218c90

Observation 46dd2144-ae17-4b2c-8793-d2c664e0f5fc · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.126087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.126087Z digest=sha256:403f3e17365b1b77a3b6b32531b82e980aff155df232902720509e4d3e21bf83

Observation d9676da9-96a9-4ba1-af56-06828ea5ce99 · outbound

This paper cites Emergent analogical reasoning in large language models.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Emergent analogical reasoning in large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.968347Z

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=2026-08-05T13:38:13.226747Z digest=sha256:ec9608468a31342182c780eb89895556aa54717f0029bc3778e6cff05a171662

Observation 92fdb9ce-055b-491b-b4bb-43e060405b5c · outbound

This paper cites Llm4pm: A case study on using large language models for process modeling in enterprise organizations.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Llm4pm: A case study on using large language models for process modeling in enterprise organizations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.624765Z

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=2026-08-05T13:38:13.298926Z digest=sha256:147e3e5b591cbf30089049a478c994ba6dedb93b557769b1a7af2afe59949b1b

Observation 5b321ef5-5c95-4b11-8472-ae0a904adc17 · outbound

This paper cites Large Language Models for Manufacturing.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Large Language Models for Manufacturing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.376756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.376756Z digest=sha256:b6fff7fa6d8438da81ae76f0bff562debeae5d8c2c4a266972109eefe693c742

Observation 65779c9f-52e2-448f-9622-65559d6e6c25 · outbound

This paper cites New directions for artificial intelligence: human, machine, biological, and quantum intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain New directions for artificial intelligence: human, machine, biological, and quantum intelligence

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:27.418766Z

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=2026-08-05T13:38:13.450277Z digest=sha256:020bebdd76ab98eb2a0da0fbcc0b7718a8ed06cb93f957f3e761ff035d7ad404

Observation 91f6790f-9175-4732-8c2c-c891d2efadb1 · outbound

This paper cites an unresolved cited work.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:38:27.120964Z

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=2026-08-05T13:38:13.556172Z digest=sha256:187936419b4bf19ccaf2962ee4c81853b64cdcb359a3b7edd245f59b84749a1a

Observation 623980d2-f74d-44cb-bb6f-40335db53d44 · outbound

This paper cites Artificial general intelligence for medical imaging analysis.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Artificial general intelligence for medical imaging analysis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.803184Z

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=2026-08-05T13:38:13.666197Z digest=sha256:a2239a56eacc60fbf25337a2ab6970c5184c946077bff5ecd1d4bb3b2177128f

Observation ea7c3604-0f93-4d69-ae23-d091adb0671d · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.577596Z

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=2026-08-05T13:38:13.768418Z digest=sha256:55be418bf3cedb51e551f3ebaa46063e44147fd7f04076ac9a9a996ef27205a6

Observation 65ff6d22-55d1-42f3-95b3-e7b6740e2d13 · outbound

This paper cites Collaborative problem-solving with llm: a multi-agent system approach to solve complex tasks using autogen.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Collaborative problem-solving with llm: a multi-agent system approach to solve complex tasks using autogen

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.353420Z

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=2026-08-05T13:38:13.874827Z digest=sha256:8c1e81f776e72b24044fef065c46b3a6735dbdcd7b0799b5a406ff3dab3b6c4c

Observation 4a5c17a9-e9fd-459f-98a7-160544071bd0 · outbound

This paper cites Training language models to follow instructions with human feedback.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Training language models to follow instructions with human feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:13.969141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:13.969141Z digest=sha256:caf58942fc8380196f13141a9d54d643ea7413bf5618549087fb7e0850c35f88

Observation 02d091e6-2f2c-4343-ab10-a6d664fd8d69 · outbound

This paper cites Weigang, A.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Weigang, A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:26.074873Z

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=2026-08-05T13:38:14.090380Z digest=sha256:6771371bd2efe47221fcc334fc17871b32968d1b4293d0eb246594d12468857e

Observation e0241102-0fd6-4c8f-84ac-03c00a52d5f9 · outbound

This paper cites Artificial Brain: No Longer Fantasy.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Artificial Brain: No Longer Fantasy

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.795533Z

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=2026-08-05T13:38:14.181752Z digest=sha256:e1bb9f340bf57ab5e800c8806634f5f7c59bb6d1304fd32e33ee80e8faa1f6af

Observation fe0581a9-3eef-4f40-9dad-2f72f1db2853 · outbound

This paper cites Two paths for a.i.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Two paths for a.i

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.595935Z

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=2026-08-05T13:38:14.269226Z digest=sha256:f0b9c38af76062deed07189f42fbbf840fa156ffc70d628d41e70757f33c727c

Observation 19a12dd2-26f4-4316-badd-87a77fbcf186 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Generative agents: Interactive simulacra of human behavior

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:14.392049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:14.392049Z digest=sha256:a2f92f1096f86c7aefb516913afb86073e71d07e992c732b81cad99480d12f3a

Observation 5506cc14-7457-417a-9fbb-58316cd6a1d3 · outbound

This paper cites Using large language models to simulate multiple humans and replicate human subject studies.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Using large language models to simulate multiple humans and replicate human subject studies

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:14.514795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:14.514795Z digest=sha256:baaeab5b5920af719272528fbb60499f8d78ab40ba2c153daba305c0a8867ebe

Observation cf948f42-0557-42d8-b31f-9dbdcee09467 · outbound

This paper cites Can ai replace human subjects? a large-scale replication of psychological experiments with llms.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Can ai replace human subjects? a large-scale replication of psychological experiments with llms

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.339560Z

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=2026-08-05T13:38:14.649213Z digest=sha256:a76760b46d870b71f4ef8ce5cf513e3e0dbe35b4b286b2e4fd687ad8c60ff9b5

Observation ca45bc19-8599-4e02-9189-6ee3e55d29bb · outbound

This paper cites How large language models can reshape collective intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain How large language models can reshape collective intelligence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:25.034868Z

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=2026-08-05T13:38:14.745182Z digest=sha256:566d9ff4f0575eb778a11dea9a531efcf1006a214f12ad7d96c7dcc0794070d0

Observation 7ea9a6f7-4790-4cc5-acc1-122d6cd1e8ac · outbound

This paper cites Wisdom of the machines: Exploring collective intelligence in llm crowds.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Wisdom of the machines: Exploring collective intelligence in llm crowds

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.728824Z

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=2026-08-05T13:38:14.882880Z digest=sha256:6f13eaac8e670887f331222ccdf0ee4fd8cb193540315b1852f0e3ee1b1fe1be

Observation d7d9f6ca-3642-412b-89dd-a3b28ab071e2 · outbound

This paper cites Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Collective Reasoning Among LLMs: A Framework for Answer Validation Without Ground Truth

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:15.035876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:15.035876Z digest=sha256:ae5693369a0f48237007e8cc0c2c62c2eb82aee3af1bc263747be22807e74ea2

Observation 8cbc866a-6a22-4fc0-a711-398e33fc1af8 · outbound

This paper cites Agent-based human behavior modeling for crowd simulation.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Agent-based human behavior modeling for crowd simulation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.384772Z

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=2026-08-05T13:38:15.167951Z digest=sha256:7302eda27eda61cd862a7fe4cc9135f373dac71abbc146e9d1ecb5c681874cdd

Observation 5e514268-c3e1-4665-bcb4-dd8e94c1dca5 · outbound

This paper cites We are raising a tiger: Waic 2025 keynote.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain We are raising a tiger: Waic 2025 keynote

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:24.084768Z

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=2026-08-05T13:38:15.318906Z digest=sha256:4feabdc808b6bca19a950a6210d3e6f5b02fa036a91ff61681ffdd3dfa49c113

Observation 153907ee-fc4d-426d-b24a-3b0f28215267 · outbound

This paper cites China proposes global framework for benevolent ai at waic 2025.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain China proposes global framework for benevolent ai at waic 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:23.744763Z

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=2026-08-05T13:38:15.457165Z digest=sha256:e1e8ab027720073a5a66248c2962fadce5feb4070a1af2493ea7da9be38323db

Observation ca81831a-11ca-41f5-8207-b3898c07cd9a · outbound

This paper cites Genetic algorithms and game theory for airport departure decision making: Gedman and codman.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Genetic algorithms and game theory for airport departure decision making: Gedman and codman

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:23.414766Z

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=2026-08-05T13:38:15.585213Z digest=sha256:06aca8d048423c17dc17e4e4b83aa028d0ea7f711cfb9b39e9efdd9d8c221777

Observation 39af45ba-d009-4ced-a82d-43b9644e980c · outbound

This paper cites Dynamic super round-based distributed task scheduling for uav networks.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Dynamic super round-based distributed task scheduling for uav networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.984761Z

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=2026-08-05T13:38:15.718689Z digest=sha256:52c685e8ac2079ebd3882b0cf2c50b7152c3ebe8146b254edaa97052aaad8374

Observation af466e67-dab9-4e92-a36b-3c12348043d0 · outbound

This paper cites Multi-objective routing optimization in electric and flying vehicles: a genetic algorithm perspective.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Multi-objective routing optimization in electric and flying vehicles: a genetic algorithm perspective

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.614873Z

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=2026-08-05T13:38:15.835537Z digest=sha256:a31020809361c69c7058980e2ccfec841c29c0654f235ca947a10dff624f0f73

Observation 9fe6a22a-9af2-4b3c-8edd-0dc9a3ca085b · outbound

This paper cites Swarm intelligence.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Swarm intelligence

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:22.244834Z

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=2026-08-05T13:38:15.927930Z digest=sha256:bbcaa396cbe3e8564da5b95d57d5833be1898928acd6554d7ca7ead7259984dd

Observation f0e7d6c1-c5e1-4520-9623-26e51ed4348a · outbound

This paper cites Swarm intelligent systems, volume 26.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Swarm intelligent systems, volume 26

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.927494Z

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=2026-08-05T13:38:16.006452Z digest=sha256:efad865025795fe032af5a19f43ddfcd6068023706997f201c241513bc0842bb

Observation 46f66b3c-8177-4124-ad4b-cefa682819af · outbound

This paper cites Using ant algorithm to arrange taxiway sequencing in airport.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Using ant algorithm to arrange taxiway sequencing in airport

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.668367Z

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=2026-08-05T13:38:16.139105Z digest=sha256:5151bf443d61b3baca0fda8fa2d111d247544f4fb0f594a16974941f7e7acb4c

Observation 4e2c5ca9-3e4a-4da4-8d23-a72524f866c6 · outbound

This paper cites A review: Swarm robotics: Cooperative control in multi-agent systems.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A review: Swarm robotics: Cooperative control in multi-agent systems

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.385231Z

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=2026-08-05T13:38:16.292921Z digest=sha256:1a3f5ccd40763361768c4705fcb83fca87f9af07717cd7064c60e70842274963

Observation 3dbfd09e-bdde-4461-ae22-c6369a2a753b · outbound

This paper cites Deep reinforcement learning from human preferences.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Deep reinforcement learning from human preferences

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:21.126962Z

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=2026-08-05T13:38:16.381993Z digest=sha256:63af701a40b9254f0af64cb2b993496af6ddf40e14635f7d8b3bfb49456d898b

Observation 0c2eb528-797b-4136-b58c-e9e95fe78b24 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.446804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.446804Z digest=sha256:810021e8f157e3e802621c3cda9bcb4e98279ee06ab5c7b9af534e20a4ab29cc

Observation c2d5adf6-259d-49ec-bad8-dd5dd2b3a2dd · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Self-refine: Iterative refinement with self-feedback

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.941415Z

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=2026-08-05T13:38:16.552232Z digest=sha256:98c507663b38d08ec4bdb52ab3e5a3ab55feec632275e6d1cdcb4bd117b5ced9

Observation f4a74c32-f942-494e-8781-36c13190b142 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Distilling the Knowledge in a Neural Network

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.627131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.627131Z digest=sha256:80ab02fcecc6662943664dade817dcc4121cda2bfd926d4f16253d8c0a12ac7e

Observation eef5fe25-aa72-4832-ab59-30b45056ae05 · outbound

This paper cites A survey on knowledge distillation: Recent advancements.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A survey on knowledge distillation: Recent advancements

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.672253Z

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=2026-08-05T13:38:16.737669Z digest=sha256:d931604b4188f50e4624c805485eb1430f4dd258b21b605660a3a1e319eaead4

Observation 25f92f79-a4e1-41da-a9db-6ffa8ca47d4e · outbound

This paper cites Raft: Adapting language model to domain specific rag.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Raft: Adapting language model to domain specific rag

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:16.881896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:16.881896Z digest=sha256:ad82b7a7c34236931a28c4407a9a1480036270c7769317e69552057b869c5f45

Observation 545af7f5-4bbd-411e-95d1-f2e749e075ad · outbound

This paper cites Slim-raft: A novel fine-tuning approach to improve cross-linguistic performance for mercosur common nomenclature.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Slim-raft: A novel fine-tuning approach to improve cross-linguistic performance for mercosur common nomenclature

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.424761Z

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=2026-08-05T13:38:16.996334Z digest=sha256:c7d7fa3963103117329796123b533e230611e636f6c01fd8714ed51080b22c00

Observation e1fd4f4d-7d44-466c-a1ae-f4113d083885 · outbound

This paper cites Llmquoter: enhancing rag capabilities through efficient quote extraction from large contexts.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Llmquoter: enhancing rag capabilities through efficient quote extraction from large contexts

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:20.238773Z

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=2026-08-05T13:38:17.142808Z digest=sha256:cd4a84348dc6ae78bcc31eb3c49289d31e5b2fa3bf927c71a9b43e89f5cd5744

Observation 3da71dff-8076-49e8-93ac-dff0cf70804a · outbound

This paper cites The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:38:18.696175Z

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=2026-08-05T13:38:17.242433Z digest=sha256:1e3960ce0004743c77b5c62e13acb48919398a6420276c6d3872776ef2256258

Observation 554d1c08-92b0-44d5-9fda-b6c8f8550134 · outbound

This paper cites A Study of Parallel Self-Organizing Map.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A Study of Parallel Self-Organizing Map

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:38:18.526398Z

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=2026-08-05T13:38:17.351934Z digest=sha256:f5127e1c4477755a374bb2acd94c578cec5305aeafb81007491c3ccfec3e1e58

Observation f96646f7-7e8f-4685-903e-f03413ea7628 · outbound

This paper cites A study of parallel neural networks.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A study of parallel neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.986575Z

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=2026-08-05T13:38:17.448180Z digest=sha256:4e462e437fde8182ca83e3dc12181ec8ba941d118eb9b472d1c1a71d9ea6129c

Observation 5e85e9f4-bfb3-4667-97d5-d7b722a2a563 · outbound

This paper cites A bayesian approach to unsupervised one-shot learning of object categories.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain A bayesian approach to unsupervised one-shot learning of object categories

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.795962Z

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=2026-08-05T13:38:17.528701Z digest=sha256:2facac54b037ceb6a765cd51d348b57077fc0e9c2bccc5d455b57fe209645c3c

Observation e6c81ff2-f630-4962-b3da-1333484f3256 · outbound

This paper cites Language models are few-shot learners.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Language models are few-shot learners

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:17.655349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:17.655349Z digest=sha256:def9621fc3ddc272ae033a7ec56c0b5ac67d0655af1671fabcc3e35986cb9346

Observation 060e2587-84ce-4545-9e2b-dbf1b08efc26 · outbound

This paper cites You only look once: Unified, real-time object detection.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain You only look once: Unified, real-time object detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.414024Z

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=2026-08-05T13:38:17.726340Z digest=sha256:cea335d5dea6b8b678c02c06eab36fb495c7b46d8bd57f2f2208f256ff280d76

Observation 09a8cf85-3c36-4f4d-bdfe-57f8fae1716b · outbound

This paper cites Once learning for looking and identifying based on yolo-v5 object detection.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Once learning for looking and identifying based on yolo-v5 object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:19.130683Z

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=2026-08-05T13:38:17.826993Z digest=sha256:a3e634e010f9f32c5418516c94b0bc4e7eb4dfeabb97a18a6fc18f14c0332da7

Observation 687f8248-2ac8-44ab-9430-dc2ba7537a1a · outbound

This paper cites Benchmarking human--ai collaboration for common evidence appraisal tools.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Benchmarking human--ai collaboration for common evidence appraisal tools

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:38:18.906109Z

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=2026-08-05T13:38:17.938051Z digest=sha256:a74b3150163bb34d6c6be0aea292f8e32754ffcefd1466337e9d41b1496f791d

Observation 7b020a97-e233-4bb2-a7ab-43a7217e7cfb · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Improving language models by retrieving from trillions of tokens

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:18.045820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:18.045820Z digest=sha256:1b209d0c78ac568186235569fbcf6b596bc3ab2ee9cc29dcde6197c61336ab06

Observation b921e120-8448-4281-9570-6181de3c7208 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:18.197913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:18.197913Z digest=sha256:148b9487d393ce51af24b872019ebca2f22bb9c77d39fc6a58bb60d89ae290c8

Pith citing papers

No inbound Pith citation observations are available.