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Paper Citation Record · LEDGER

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2307.05300.

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

pith.paper-citation-record.v1
2307.05300 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:40:02.189287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:36:23.838502Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b80b48a2-f4e3-49dc-9a0b-329ea06d7a83 · inbound

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

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.936695Z

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=2026-05-21T21:05:25.809179Z digest=sha256:0dd1f6961c106e1d3eea7715c403a5784f762870cfc494214a79dc129adf903d

Observation a0da3997-91a6-43ce-ac69-951f01266295 · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:16:41.804842Z

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=2026-05-16T23:16:41.679855Z digest=sha256:97f22baad217e3505f72a88f6f48866f4b5803b9cf0f3c3febd07349b5458167

Observation 1503b8e6-d93c-4159-a83f-8bf295761c8a · inbound

Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles cites this paper.

Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T17:40:02.189287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:40:02.189287Z digest=sha256:e97d3974dd15dc93131f52964670f2f719d34d38ea923373fd55114a019adb4c

Observation 1eb11468-d624-41b7-ac11-0f6cbbda7b71 · inbound

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification cites this paper.

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:48.331865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:48.331865Z digest=sha256:f47d229ed4b150e730ca96e211b70308c9d39cd5819ef69bff787d44ca7d558a

Observation 4b2d2bc9-b02e-43c3-8cde-ae14ad1ecc25 · inbound

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making cites this paper.

Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:42.220428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:33:42.220428Z digest=sha256:d763d089dcef8ab738ed7e36b47c6b4ca86e42cbd4833f2db7cd0dfc8fedb9cf

Observation 94d62e98-5b33-4b08-8a1c-af77c600c049 · inbound

Exploring the Impact of Occupational Personas on Domain-Specific QA cites this paper.

Exploring the Impact of Occupational Personas on Domain-Specific QA Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:20.792211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:20.792211Z digest=sha256:df49d1fd9cbfaba80b19a8a6841b8d0ea06bd7886bcc4e617a5ca3c54016a8f6

Observation ee431c0e-abb8-49aa-8c47-0b9f67830b80 · inbound

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context cites this paper.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:22.252022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.252022Z digest=sha256:c28eaca76b8404532db8b6394f476472c87b4b72e4b6d80c73cb7d6cfc00101f

Observation 6da77bcb-433c-4cf7-84c1-d7085f949c87 · inbound

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:46.323581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:46.323581Z digest=sha256:b77aab1a6c3e582bbd8589f86b5400fcd60693d1530c42c2ddbf769421aa1040

Observation cd2e424f-ac9c-4982-bb87-5e135a6a8932 · inbound

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation cites this paper.

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:45.763301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:45.763301Z digest=sha256:6d31d7f7869fc869f588938f7744293e89e0f8e8b4608c56580151739590109e

Observation cde82a84-731a-41ac-a7e0-9915fe5e9db7 · inbound

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.578651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.578651Z digest=sha256:81e4d53a6070920eefd2d64762a8acf6bed179692f5d13490c27642f93c947f5

Observation 4d9e3b16-a89b-4efe-b75a-9dc6145916c5 · inbound

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies cites this paper.

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:50.841505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:16:50.841505Z digest=sha256:4901fd290a2c594f15ed76c940542955a035463e9a9e501bf62140c94b34d490

Observation 007a7681-db51-4dd4-9127-da403a12d622 · inbound

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows cites this paper.

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:42.325909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:42.325909Z digest=sha256:9d1495ab7ef5f6f262a61c9ca031d618da6f11bfaad9a7d757689cf6515d5dae

Observation 09c09803-4771-4fe6-aed0-f2a9d315e0d9 · inbound

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification cites this paper.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T17:15:44.347608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:15:44.347608Z digest=sha256:1bf36662d765d34231037c169792d363e133b062f1fff0e57ef1c0e1a3f743cf

Observation 2047105b-1495-47b5-813c-6432c7bcf2c7 · inbound

P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs cites this paper.

P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T15:08:34.473881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:08:34.473881Z digest=sha256:ed197a95e10ff4fe050fc1575b3a495e8078afe66a396ffac1daf257b20df1c3

Observation e08df66c-5f26-43ea-9a36-4a05e5702382 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.264903Z

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=2026-05-22T00:37:11.945418Z digest=sha256:4d31eabe6a424413362997394381b25569380138ec2e1b97f388158c1f15710a

Observation 188de164-8e78-4f82-985d-d441fd9c0869 · inbound

DRF: LLM-AGENT Dynamic Reputation Filtering Framework cites this paper.

DRF: LLM-AGENT Dynamic Reputation Filtering Framework Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T05:04:52.726504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:04:52.726504Z digest=sha256:aa6c8206c4e485dd4990116105b9179e93e875c6630143d191ded6ef642c0f5b

Observation 81536cf1-2584-4df7-9343-73906a2b1b03 · inbound

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems cites this paper.

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T03:17:24.995993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:17:24.995993Z digest=sha256:264eeec156ebc0c2be1f13f727b15ad995a16b6a3ae48e332a96101d97a85132

Observation e4c60d76-ed98-4dff-af7e-d5657ad64938 · inbound

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks cites this paper.

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:08:00.741827Z

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=2026-05-13T17:06:46.917177Z digest=sha256:6921833502ab6b5ebc9013565a854435974d6ca209a2eda3b43b3cf337b50a9d

Observation 9eca0725-5648-47a3-8994-4683c5b54b78 · inbound

Reinforced Collaboration in Multi-Agent Flow Networks cites this paper.

Reinforced Collaboration in Multi-Agent Flow Networks Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:42:57.132917Z

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=2026-05-14T20:42:48.438057Z digest=sha256:2d45c41253af747e3c508484d3a4bccc9558fb69b01e71717527b49c8e3e9811

Observation 04565bc5-6224-4a60-a26c-bc1386d6f0fe · inbound

OctoT2I: A Self-Evolving Agentic Text-to-Image Router cites this paper.

OctoT2I: A Self-Evolving Agentic Text-to-Image Router Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T23:26:22.454086Z

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=2026-06-28T14:22:57.822123Z digest=sha256:0beade5b434aa52158af746e87ea91600398d1feeaeacba13396f3a76da8d0c0

Observation d51d692c-a7bb-4cb4-9e8c-2653e1bac860 · inbound

When Helping Hurts and How to Fix It: Multi-Agent Debate for Data Cleaning cites this paper.

When Helping Hurts and How to Fix It: Multi-Agent Debate for Data Cleaning Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:36:23.841663Z

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=2026-06-28T14:05:49.696342Z digest=sha256:49d9ef3ea5b5b955553dc09d301325ecaeeb010e9410eeb60d8b29dbfe86e47f

Observation aed23477-d3ec-4d47-9463-fd82c2b3dcc5 · inbound

The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming cites this paper.

The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T19:18:43.559541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:18:43.559541Z digest=sha256:59f6eb0deeb528440615f32e1566de70f8db1dea288e2d1a44710f26de2633ba