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Paper Citation Record · LEDGER

Federation over Text: Insight Sharing for Multi-Agent Reasoning

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2604.16778.

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

pith.paper-citation-record.v1
2604.16778 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T19:16:10.884254Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:49:49.760578Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:49:50.472712Z

Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 7948a510-1077-4081-878c-6223d4f5b7a8 · outbound

This paper cites Answering questions by meta-reasoning over multiple chains of thought.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Answering questions by meta-reasoning over multiple chains of thought

Reference 1

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:3807b636433c51050d0ca61e5e80b3f84649cb70b6438b435fa75428b9be2bf3

Observation a2b56cd0-542a-408d-9dd6-24d476333e05 · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Encouraging divergent thinking in large language models through multi-agent debate

Reference 2

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:9e55e1d6755493a105740513c4f255bcfe5a73bd987b55ab4f6b2f8a9839053a

Observation 43a638cb-fcef-4aa5-a355-ced0b60ac49c · outbound

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

Federation over Text: Insight Sharing for Multi-Agent Reasoning The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 3

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Observation d085da78-3cce-42f9-abae-3a83aa09e32f · outbound

This paper cites Agent laboratory: Using LLM agents as research assistants.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Agent laboratory: Using LLM agents as research assistants

Reference 4

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Observation ce873c69-fed5-4b22-9166-94c9365efbff · outbound

This paper cites Researchtown: Simulator of human research community.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Researchtown: Simulator of human research community

Reference 5

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Observation dd0be47f-78b5-43dd-8212-faed3161088f · outbound

This paper cites Vibe researching as wolf coming: Can AI agents with skills replace or augment social scientists?,.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Vibe researching as wolf coming: Can AI agents with skills replace or augment social scientists?,

Reference 6

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:6c3d7e8d455e2c73ea59747658ef27ab85a0fbc78124b27dd330378b8d468fa2

Observation a6fc546f-0faa-4df5-9269-d2a6b94c116c · outbound

This paper cites A survey of frontiers in LLM reasoning: Inference scaling, learning to reason, and agentic systems, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning A survey of frontiers in LLM reasoning: Inference scaling, learning to reason, and agentic systems, 2025

Reference 7

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Observation 9c3401e8-6536-4efa-a752-2734fb87e45e · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Communication- efficient learning of deep networks from decentralized data

Reference 8

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:0c1d8e30d49f5262f27b4fd15127a6a26bf3c7ccdc706c32644817f2d76d5236

Observation aca0be52-b0f9-428c-8f09-b5288db9d625 · outbound

This paper cites Chain of agents: Large language models collaborating on long-context tasks.Advances in Neural Information Processing Systems (NeurIPS), 37:132208–132237, 2024.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Chain of agents: Large language models collaborating on long-context tasks.Advances in Neural Information Processing Systems (NeurIPS), 37:132208–132237, 2024

Reference 9

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Observation a0efaeca-4f65-4efc-98f1-d2e5b1589a82 · outbound

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

Federation over Text: Insight Sharing for Multi-Agent Reasoning Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 10

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Observation 1df4aaf6-12b4-4240-9df8-3815a198200e · outbound

This paper cites Multi-agent collaboration via evolving orchestration.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Multi-agent collaboration via evolving orchestration

Reference 11

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Observation 9218b648-0d54-4365-863c-6ab55ed5f530 · outbound

This paper cites The station: An open-world environment for AI-driven discovery, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning The station: An open-world environment for AI-driven discovery, 2025

Reference 12

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Observation 85536a4c-4d1a-4c86-98aa-040c1a61332f · outbound

This paper cites Evoscientist: Towards multi-agent evolving AI scientists for end-to-end scientific discovery, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Evoscientist: Towards multi-agent evolving AI scientists for end-to-end scientific discovery, 2026

Reference 13

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:4d5c717e0494f1040780ace9c8009fc45f6bf65ca6157bd5d5bbc11c39a6578d

Observation 0e2b2e41-6245-4edc-86f9-610437123696 · outbound

This paper cites Shall we team up: Exploring spontaneous cooperation of competing LLM agents.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Shall we team up: Exploring spontaneous cooperation of competing LLM agents

Reference 14

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Observation ee89828c-90d2-453f-b6de-2797df88a267 · outbound

This paper cites More agents is all you need.Transactions on Machine Learning Research (TMLR), 2024.

Federation over Text: Insight Sharing for Multi-Agent Reasoning More agents is all you need.Transactions on Machine Learning Research (TMLR), 2024

Reference 15

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Observation 546d9021-10ad-4fe1-9970-01a9205544a6 · outbound

This paper cites Thought communi- cation in multiagent collaboration.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Thought communi- cation in multiagent collaboration

Reference 16

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Observation 9bfac7e1-3630-4000-a9c0-8ff0428c31c6 · outbound

This paper cites aiXiv: A next-generation open access ecosystem for scientific discovery generated by AI scientists, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning aiXiv: A next-generation open access ecosystem for scientific discovery generated by AI scientists, 2025

Reference 17

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Observation e2711391-697a-4b05-98f9-3fecafc71d30 · outbound

This paper cites FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models.

Federation over Text: Insight Sharing for Multi-Agent Reasoning FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models

Reference 18

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Observation 1c2040f0-3aa6-4f73-a3a2-0ea3b57124ff · outbound

This paper cites Social Learning: Towards Collaborative Learning with Large Language Models.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Social Learning: Towards Collaborative Learning with Large Language Models

Reference 19

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Observation 066cbbe6-b3ea-40dc-afe6-4908f0f2e877 · outbound

This paper cites Skills (agent skills repository).�����������������������������������, n.d.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Skills (agent skills repository).�����������������������������������, n.d

Reference 20

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Observation 3feb16ad-a78a-4b7a-b85e-49644b4a06bf · outbound

This paper cites Claude scientific skills: A comprehensive collection of scientific tools for claude ai.������ ������������������������������������������������, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Claude scientific skills: A comprehensive collection of scientific tools for claude ai.������ ������������������������������������������������, 2026

Reference 21

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Observation 40473fa4-909b-4d95-ab7c-508ea4c63d17 · outbound

This paper cites Expel: Llm agents are experiential learners.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Expel: Llm agents are experiential learners

Reference 22

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:d796353bc31f05e7e1b47eed28299191fed2b2f6ce3d847d616edccce2fabe95

Observation a098d4cd-e8b7-4beb-b061-c7a998d686f6 · outbound

This paper cites Metacognitive reuse: Turning recurring LLM reasoning into concise behaviors, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Metacognitive reuse: Turning recurring LLM reasoning into concise behaviors, 2025

Reference 23

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Observation 2f697407-65d0-494d-9899-16d9f5f30772 · outbound

This paper cites Test-time recursive thinking: Self-improvement without external feedback, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Test-time recursive thinking: Self-improvement without external feedback, 2026

Reference 24

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Observation db33f1e5-519e-461f-8b99-48cbdc17e44b · outbound

This paper cites Hyperagents, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Hyperagents, 2026

Reference 25

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Observation 3862bdb4-b4dd-402c-8c5e-8084a04a4f4f · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 26

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Observation 25610a04-6bbc-4858-8aef-4a6a89631d86 · outbound

This paper cites G ¨odel agent: A self-referential agent framework for recursively self-improvement.

Federation over Text: Insight Sharing for Multi-Agent Reasoning G ¨odel agent: A self-referential agent framework for recursively self-improvement

Reference 27

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Observation 5411ca89-695e-490c-b65d-308c5d21e707 · outbound

This paper cites Evolving prompts in-context: An open-ended, self-replicating perspective.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Evolving prompts in-context: An open-ended, self-replicating perspective

Reference 28

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Observation 4ed1de71-8ce1-4570-bb4f-0b5300aafa48 · outbound

This paper cites Self-adapting language models.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Self-adapting language models

Reference 29

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:b224d7f9e1bf2088124e938f2541cb771f3e34b6e7e7843b167970b602070567

Observation f57f74c4-a00c-45fa-bae3-a8969c32bedd · outbound

This paper cites Meta context engineering via agentic skill evolution, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Meta context engineering via agentic skill evolution, 2026

Reference 30

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Observation fbc4b7b1-9f5d-4b2e-82cd-6a0c8cadfffe · outbound

This paper cites Reasoning pattern alignment merging for adaptive reasoning, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Reasoning pattern alignment merging for adaptive reasoning, 2026

Reference 31

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Observation 5a738e24-eae3-4179-ba80-e0f3af165756 · outbound

This paper cites OpenClaw-RL: Train Any Agent Simply by Talking.

Federation over Text: Insight Sharing for Multi-Agent Reasoning OpenClaw-RL: Train Any Agent Simply by Talking

Reference 32

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Observation 76313d47-38c4-4688-8762-f5e3a3ac60a3 · outbound

This paper cites From sparse to dense: Gpt-4 summarization with chain of density prompting.

Federation over Text: Insight Sharing for Multi-Agent Reasoning From sparse to dense: Gpt-4 summarization with chain of density prompting

Reference 33

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Observation e4e018c9-2428-4615-afa7-e7b273f01189 · outbound

This paper cites Claude cookbooks: Examples and guides for building with claude.������������������� ���������������������������, 2024.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Claude cookbooks: Examples and guides for building with claude.������������������� ���������������������������, 2024

Reference 34

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Observation e76abf0d-6d62-4b2c-ae14-c695454c28d2 · outbound

This paper cites American invitational mathematics examination (AIME) 2024, 2024.

Federation over Text: Insight Sharing for Multi-Agent Reasoning American invitational mathematics examination (AIME) 2024, 2024

Reference 35

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Observation 2e5fa409-4240-4df2-9e0c-9bdcd380c01c · outbound

This paper cites American invitational mathematics examination (AIME) 2025, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning American invitational mathematics examination (AIME) 2025, 2025

Reference 36

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Observation f7e90ce4-d8d0-4230-a4bf-aa48156ef714 · outbound

This paper cites Are your LLMs capable of stable reasoning? InFindings of the Association for Compu- tational Linguistics: ACL 2025, pages 17594–17632, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Are your LLMs capable of stable reasoning? InFindings of the Association for Compu- tational Linguistics: ACL 2025, pages 17594–17632, 2025

Reference 37

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:b99d79fde0893dcb128f9ab1c989eea0a029e9e60a61031731caecb0c53671ff

Observation 26a5fe1e-d597-4c34-81fd-a848d22ea0a5 · outbound

This paper cites Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought

Reference 38

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:3c0c9afe71df7ba7c2006e5048d5b1c2e3fcb1b1e3a390c3c7940e47bdccf12c

Observation ee673370-8eeb-4319-8246-6ae44656f9ef · outbound

This paper cites GPQA: A graduate-level google-proof q&a benchmark.

Federation over Text: Insight Sharing for Multi-Agent Reasoning GPQA: A graduate-level google-proof q&a benchmark

Reference 39

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:6ae299e47b5608491e0bc34e8f09e80ef32bd9781cadfdbcc40efde32877624d

Observation 0948f089-8f74-46e0-a2f6-ee94510441cf · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 40

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:f6f6f5311414a218478463c8e61fec603ae568d0f3175718be9d354df160a3d7

Observation 3be499db-7d7f-43e6-b15a-63a20a079131 · outbound

This paper cites Humanity's Last Exam.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Humanity's Last Exam

Reference 41

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:920bd96ff5d5f7895641431688d67e5376e0ebd587da92689e2efc43d94332ad

Observation 448c8e91-b7f0-47d6-9420-3a32826a02a7 · outbound

This paper cites Openclaw: Your personal open-source AI assistant.������������������� �����������������, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Openclaw: Your personal open-source AI assistant.������������������� �����������������, 2025

Reference 42

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:f8f77759a6025125117730030601752cef8c9b0d3e29e48bb04cbf1f9eb2cd4c

Observation a878c814-0369-41fa-8fbd-e765ce90fa40 · outbound

This paper cites Pinchbench: Benchmarking LLM agents on real-world tasks, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Pinchbench: Benchmarking LLM agents on real-world tasks, 2026

Reference 43

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:8dd7d3d8305a071ef0d64358ac75123d96e0dd372737f085e1039f7d82036af8

Observation 11252fc8-c66f-4500-96b3-ed46b2632100 · outbound

This paper cites Codescientist: End-to-end semi-automated scientific discovery with code-based experimentation.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Codescientist: End-to-end semi-automated scientific discovery with code-based experimentation

Reference 44

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:41cf54741bca6c04a66273b0f8e27d91ed75610c6e1920efc62deea318ca7abc

Observation 45a44df4-4843-470e-a09a-ab963f5cbd6c · outbound

This paper cites Deepscientist: Advanc- ing frontier-pushing scientific findings progressively, 2025.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Deepscientist: Advanc- ing frontier-pushing scientific findings progressively, 2025

Reference 45

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:070149cf2f5c65fd25380de59e614de3a48fbbb5ce3f73bee758edd9dda1234e

Observation 2be57b52-888f-47c9-9e19-17c127532027 · outbound

This paper cites Aris: Fully autonomous research via adversarial multi-agent collabo- ration.����������������������������������������������������������������, 2026.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Aris: Fully autonomous research via adversarial multi-agent collabo- ration.����������������������������������������������������������������, 2026

Reference 46

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:3d51cd368ada07c6f12c152e23eb4951f48bb0c751675ca1b7e8d7134ecaf04e

Observation ed326102-92bc-4b3a-b013-c3e7785ac9e8 · outbound

This paper cites an unresolved cited work.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Unresolved cited work

Reference 47

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:1d0ee207edd0c04040644a78590456b7c93734aef8c9049e52d27c31c3a8a343

Observation d5dcbd75-76c5-4491-b13f-623c590d35e2 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive NLP tasks.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Retrieval-augmented generation for knowledge- intensive NLP tasks

Reference 48

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:a2c9dfb7e92a6f7aaf75e88bc12abde3fae75188d7f1a19be8ba14942ecefbaa

Observation 9628722c-a503-4760-846e-2351c645dee0 · outbound

This paper cites Weak-to-strong generalization: Eliciting strong capa- bilities with weak supervision.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Weak-to-strong generalization: Eliciting strong capa- bilities with weak supervision

Reference 49

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:628d73e0968dcb7c4952a6680c0a0ace27983ce754786771b56f3f7844208dbc

Observation 2ce2e24f-1cf2-437b-925c-995f9fcbea2d · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 50

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:ada7fa2d1ed5f7f109c6433b61f1d55c47c7a251458b1619d370ef0662c817da

Observation e4faa7b6-95f0-4681-94b7-4a6f3f582193 · outbound

This paper cites Prompt Stealing Attacks Against Large Language Models.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Prompt Stealing Attacks Against Large Language Models

Reference 51

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:fc3c24f336ee004770d325862b918c5c0d61bdf156e4d90ac80be2ae2469c1d1

Observation 5ba2636d-f494-4d3e-9a38-c733194b16b2 · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics (TACL), 12:157–173, 2024.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics (TACL), 12:157–173, 2024

Reference 52

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:1d6c09569b54d23262971d70e77ac422aa791c0abb15b44d629f1df9cf1f7256

Observation dc7b679e-0c74-4903-ba8c-9ff2cfef49eb · outbound

This paper cites Meta-Harness: End-to-End Optimization of Model Harnesses.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 53

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:60ebe258bbeb4e3aa866769d50338bac717b1c18036edff7e64dce02b919ed37

Observation 0e99f130-2066-4261-9b2d-3122b79319aa · outbound

This paper cites Include One.

Federation over Text: Insight Sharing for Multi-Agent Reasoning Include One

Reference 54

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source=pdf_text observed=2026-07-12T19:16:10.884254Z digest=sha256:cf5ee71816044e308b2edbe0d2735557c5bd8ca619635015e35e866de410fd1d

Pith citing papers

Observation 15a0a605-3f8c-4139-844a-9deca3c61e86 · inbound

EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement cites this paper.

EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement Federation over Text: Insight Sharing for Multi-Agent Reasoning

Reference 9

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verified exact
local_arxiv, observed 2026-08-06T12:49:50.591441Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T12:49:49.760578Z digest=sha256:8b2d685262d31e6bd8970ea10f5ad8561be1682650472358c72b0ffae4c25f0e