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Paper Citation Record · LEDGER

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain

As of 21 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 2026-08-21T06:32:19.484+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

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

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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=sha256:655db71c755b981c587eb20836e4583d34d61df20fcec5017bbc18958f93093a

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.022638Z digest=sha256:cc2453ae4262183cf12edd840f661cfabfb1a98abb0fe60f7bdfcd78af0cbd0a

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:af5718155f688e6e405e06726d208a5ff0db0de83716f4dbfe167f70dfe09047

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.226747Z digest=sha256:f10f245500285559a26bf07173f98e51da15e973ac7029aa095f6857aca16594

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.298926Z digest=sha256:780e9740a0dd258206b347e2bd2819548780064e7e3e6ad056be1bf69a96aac0

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=sha256:10de1e6851e730b4442eac4024ea84d28e847d26d99e7c34a690211536fdf348

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.450277Z digest=sha256:2cb0ab542d50261fc87bde1c4bbf2e757899ac8b2d5e10c3beaa62e5490e6b62

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.556172Z digest=sha256:fac9c52377a76a89efb9d96d19a26a2200154a01b295a9bed91ab68514329085

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.666197Z digest=sha256:fc1b5f3d484fd9f520a057223da305e214433f8c3615ebf557dad97372ea63d9

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:13.768418Z digest=sha256:15b39afc874b92c7c9fbc331f598d9abb7652f02479016aff052572b4c8b6c8a

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 2026-08-21T06:32:19.484+00:00.

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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:cff5e69eb1b5215533439137190a5aaeb653c618cd6e55aa853e79c45c7e9fa6

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.090380Z digest=sha256:035a91758cb2f95f538600fc5f4c35673f900e090e47526a0a680522037c2685

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.181752Z digest=sha256:81281fd3d61e9cba5bbc5e315e2d1e8669ed644ec0f9bac7ff4c0adc1d0eb7b7

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.269226Z digest=sha256:c049a341501f94ab5b38b91b801287930068955421bfabdd3fdfa1405b30f045

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.

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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=sha256:64a52f8d38a4c82369f5ea74533274b0012a6bf32a8723f6fca2b9d56d94b554

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.649213Z digest=sha256:519f114fa12dfe46080f8544aa79e371491f1408021050c18dc0b18818097b88

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.745182Z digest=sha256:77d0c2094b0682b4c6eaf3440c22ae10e8be228d9548757c0307cd52946abd73

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:14.882880Z digest=sha256:bf0823b82f1a234b2101c92653972b969aa74d91a30732438f7bb66bbd9d9550

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=sha256:7ec785eccfe77e94a969b7510e86040d8303919cf190c4cce6a3b18b3aa30366

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.318906Z digest=sha256:796ededf23ca47c12337bca44c7bda9014be0a26a5f9fe1372cce5254243ede0

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.457165Z digest=sha256:cd030b23c2119cf16a80bd23d385bf950bbbdcc6fbb002dda30b3cdf5fe223d1

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.585213Z digest=sha256:cca48ba021b6aca941f567e4eb20f9f80d7e1d98643df78f84220ec3c6451a2f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.718689Z digest=sha256:a6c70e33848d2276b658b0c79c82e8fb3e51527c79445a822e9246fd436bb202

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.835537Z digest=sha256:cd1d413b9fc23c325b96eb6a371433a55e10bf1eea1f3fd46d8ff10c67b8d87a

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:15.927930Z digest=sha256:1a6d551f3b0882b62b7f0d17e98049507ec5c90a515b419a05a259507447082d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.006452Z digest=sha256:d032507556a8b297d3a75079c3e619a85a267f36c3b2700e7b5e9d8f66137cc5

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.139105Z digest=sha256:f388f168c773e69a7769d31cfdd9661cde30da51b4958ae264f41714a0393d53

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.292921Z digest=sha256:b0742243bb6b12a7097afd4d8eb948907de6851a377eb08fb20ec6f59c9044a2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.381993Z digest=sha256:ffc882ac45f27b25c21f5b33b5adf210f311cd8db0a9a035395abec01b976d4a

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=sha256:14d19915d91ff31312b0fc48f3fba74bd48267c5d5ae00f1ad6645a0a6284e56

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.552232Z digest=sha256:891a344395354c06e17eb4b4a0877404a07973d5220c0bbff63ca328eb23e455

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:df54891061fb2b598ef2ee7447eecb49ecfed81cd09e9cf83fa18dccb0e6cb4d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.737669Z digest=sha256:8cc9e0c55de9494c231949493c11a558a5aea9ff961205408bde3fcfe73606e7

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=sha256:2b27e855de51be5717b2104753b6e72b31cf41cffdfc903cec85fbc0a20488c0

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:16.996334Z digest=sha256:658576201816ebdb6b67e25d107d48ec1eebd5b4916704194be0c8b170e6b396

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.142808Z digest=sha256:73f53ba0ebe18f18dd655645d7d874b798a4869f9a28eea5b99f8a68eb56cce0

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.242433Z digest=sha256:3b8b450930a379014e3107300427dd49d5654f6848fcf177bc16ae31e03465cd

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.351934Z digest=sha256:2997b45d1132427bde2ed7139e500f0250163086b1ae89011536fd4238d1832e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.448180Z digest=sha256:b5336a3b4721b9d701681e9da24b7f5839fa49fca549f8be61317b71ed10092c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.528701Z digest=sha256:dd716e18615dd3603280dcf370b320c63af31d52ef12e4eb1ef3cac390bf7b84

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:f5f155d5c75d057a4a3a29a8f0a21940ed294529f6f2345b43189bd7adf71be1

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.726340Z digest=sha256:6a8006044b0bae6ba988861901bd5ca4e79bcd447857af42f0130b73040104a4

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.826993Z digest=sha256:7fa8005f007620b824ed300151dc4a67e1c107163052b24d6a34f913ce6733f8

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-05T13:38:17.938051Z digest=sha256:7f5443d03eddfe96fd5e5a062905ae81d2c52c7d8db1c123a921f000c530a8a8

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:a6069807130c1dc53883a76b9929b11238139a218f3f56a0a86086c21c9e80b2

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=sha256:1a17fc068de8624f587ba832bcc831913edb6e09847e9ef885adddc06b3cd136

Pith citing papers

No inbound Pith citation observations are available.