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Paper Citation Record · LEDGER

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

As of 6 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 6 inbound Pith citation observations for arXiv:2606.11926.

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

pith.paper-citation-record.v1
2606.11926 v1

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:34:41.800309Z

measured 106 of 106 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:16:45.584075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:25:12.078513Z

Reference resolution

100 of 127 outbound references displayed

  • verified exact54
  • verified fuzzy0
  • unresolved29
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch16

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 804a4c5f-89ae-4bd8-991e-a71654000b2b · outbound

This paper cites ACM Trans.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ACM Trans

Reference 1

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.109825Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:18d9a0e44bf70ccc319c97a66f086c2807bf4d96c85af5fff4669fff5e538156

Observation b67fbe26-c638-434b-a8fe-147b9ea0a30c · outbound

This paper cites WideSearch: Benchmarking Agentic Broad Info-Seeking.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WideSearch: Benchmarking Agentic Broad Info-Seeking

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:40:47.100030Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:d736f2924394eee1ee956fb981afd181ec7bcc4835f26c5c544e727a1c81c254

Observation 3bd878e7-a466-4bff-9d07-69aa98fd25d3 · outbound

This paper cites 2025 , howpublished =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2025 , howpublished =

Reference 4

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unresolved
no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:329953ae87732395a7550a4bf412a91f9fd0552539e65fec288a3470c747b947

Observation 6cacc772-e125-424c-b1eb-a11af4e5fb58 · outbound

This paper cites BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-27T09:40:47.133985Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:3c6ccb3241c89f8e55e6e75f20e9ad5bf737d87cf078e1c342f094480291d626

Observation add6b6dc-6a8b-4424-800d-16d2aa720400 · outbound

This paper cites , year =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement , year =

Reference 7

Resolution
verified exact
doi, observed 2026-06-27T09:40:47.088662Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:cd1f095528f39bf7aeaea2a6dc045ba0fa1f7975133d826d6c42159b16992a1a

Observation 541cf580-71c6-4136-8cb8-916e98a0d672 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The Twelfth International Conference on Learning Representations,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:b20d14709bb601fb38f90214be00ebb17e26290c0f18627266ce5bd5b9c60dab

Observation c2a4ebbc-21a1-4410-a417-49b5807141a7 · outbound

This paper cites InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:40:47.104895Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:beabcf58cb5625cf985eb91059e11d70ef9b31e1ff96990b9b8b256f0c7627b6

Observation 5226114a-adca-4cb6-a796-8bc7045b0b8b · outbound

This paper cites Deepwidesearch: Benchmarking depth and width in agentic information seeking.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Deepwidesearch: Benchmarking depth and width in agentic information seeking

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:40:47.094312Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:587580a008d20cf6c0f08d96e966042b8c2c8756b147163ec4ff52fe5a742ad3

Observation 79c2b543-a61c-41aa-a2c5-5fb4c4bba639 · outbound

This paper cites ScholarSearch: Benchmarking Scholar Searching Ability of LLMs.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ScholarSearch: Benchmarking Scholar Searching Ability of LLMs

Reference 11

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.116465Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:5b60ca8ad43ab776cabffe4c48a631fd5d7c4bacc395e013d7c2d54f490743a0

Observation 941868b7-1718-4dd4-a089-52682074ddc7 · outbound

This paper cites xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations

Reference 12

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.147042Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:97c801182c17dd5bab626145d1a8ff6f7d5d8fd5dd7a2315a460d18a2549fcf8

Observation 70138545-9204-4d7c-adb8-e55b4537b85c · outbound

This paper cites SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Reference 13

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verified exact
local_arxiv, observed 2026-06-27T09:40:47.123734Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:4d578dbce6b3ae25752348c61a9be178775e99edc4240b96cdf7c9f9c3164029

Observation dc600f33-40d5-4b4f-a17e-5be45ac7c774 · outbound

This paper cites RAVine: Reality-Aligned Evaluation for Agentic Search.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement RAVine: Reality-Aligned Evaluation for Agentic Search

Reference 14

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.129091Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:ae4677d41ed6f1f173ffd508f4c42163d3fe709ba8c522e176da9b35a32d7047

Observation 9a23ce43-6338-4976-9a97-2f33064f0d34 · outbound

This paper cites MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents

Reference 15

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.151970Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:42e9815daac10faef22e53d5c90091339f36ce058d54d805a7beda2f3d4e26b8

Observation 6f9e8e44-d568-4fa0-a19d-51c19470cd5e · outbound

This paper cites CoRR , volume =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement CoRR , volume =

Reference 16

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.131650Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:d8e1ca7b520dfa3b418a4b1baff2a1affb1d6b8e6e4fe0bcf228a7a239e7efbb

Observation 5473f1ea-b3e0-45d4-a9e8-23ac51be9905 · outbound

This paper cites Large language models for information retrieval: A survey.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Large language models for information retrieval: A survey

Reference 17

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.072430Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:c5ed82c0321c9906c9029c7ba8a969345997c6e9b57948d75709c2ade8df571a

Observation 4cfc8b1b-d6f0-408f-8f1a-c8ee0900f7f6 · outbound

This paper cites A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges

Reference 18

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.128809Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:66164a6d8da3b4074d702b9ba11401872106dddcca9c06a82bf41ea7372bc267

Observation abe5003a-ebe6-45c4-8651-dfb690ba154f · outbound

This paper cites A comprehensive survey on reinforcement learning-based agentic search: Foundations, roles, optimizations, evaluations, and applications.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement A comprehensive survey on reinforcement learning-based agentic search: Foundations, roles, optimizations, evaluations, and applications

Reference 19

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metadata mismatch
arxiv_id, observed 2026-06-27T09:40:47.112546Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:16e71476be085187c9da532907adf91c427e5159b89d2e26125f07b6b9fcde31

Observation e8a1df54-dcbd-4490-8e73-e42d3fdbf8e0 · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-27T09:40:47.107424Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:dfc01873dacd4755fe8156793cfb051ade72b0c4e6af335e57996d1336f006db

Observation b27fad56-dbe1-4a6c-967f-6c9da0c75bd7 · outbound

This paper cites WebThinker: Empowering Large Reasoning Models with Deep Research Capability.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-27T09:40:47.118881Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:826751bd8584ec6216daae4723507592bfc9a60b4d7e94615919dccf9230b4e5

Observation ba57dd5c-d37a-4d14-9c6f-4e9462fc3089 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-06-27T09:40:47.114933Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:651e1ebf024649601533de40e6c466b6510bcacddcad980681dbb5b10491b2bd

Observation 6ef0a7c3-07da-4033-a6b1-7d00b6cca545 · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 23

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verified exact
local_arxiv, observed 2026-06-27T09:40:47.122376Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:3f70f14a36e875fe23b02d264cfafcb6cb3eca8bef42c4901b3fd6b2ce4bfe3a

Observation 6908baf1-8086-4987-a782-1b1740172300 · outbound

This paper cites Deepdive: Advancing deep search agents with knowledge graphs and multi-turn rl.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Deepdive: Advancing deep search agents with knowledge graphs and multi-turn rl

Reference 24

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.126609Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:822fed3ad6c5b8746303be61dd6cac314576a0759499bd5e127d498a766d1cfd

Observation 503bf55c-b6b1-43a6-8c2a-4d4da7f0ddc9 · outbound

This paper cites Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Reference 25

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verified exact
local_arxiv, observed 2026-06-27T09:40:47.144209Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:84831856551eecbe269f7fb2daea9012201ecda40b5bd1283e24cdf2b16907ca

Observation 15ad9a55-c697-4ca8-9fe5-a2ea024fa502 · outbound

This paper cites Parallelmuse: Agentic parallel thinking for deep information seeking.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Parallelmuse: Agentic parallel thinking for deep information seeking

Reference 26

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.086633Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:6b1530084464802c35b01067f941f97cc372cc68ed252d058fe7d29847911010

Observation 215f063a-fc62-4f37-88b9-3ebb00fc5c4f · outbound

This paper cites ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

Reference 27

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.081019Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:43a5ffad322662b8a1ddc61f8a37690148abc13c9521dec0d1511be22cf3fb12

Observation a22e0487-ebb1-45b2-9dde-d260ab228710 · outbound

This paper cites Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking

Reference 28

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.102578Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:70782bc95f105ea79979533fc00e6db01df9c4fa5631141f87834161ef95c08d

Observation 36ac358f-675b-40de-b569-9c9d8845707d · outbound

This paper cites an unresolved cited work.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Unresolved cited work

Reference 30

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unresolved
no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:4f51244d31fefae5ea12b3617bb50e07fe573116ccc0a25a3fa59077a614e5c9

Observation e9778fd9-9437-4765-83b5-8821b2f9fb9d · outbound

This paper cites C hat D ev: Communicative Agents for Software Development.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement C hat D ev: Communicative Agents for Software Development

Reference 31

Resolution
verified exact
doi, observed 2026-06-27T09:40:47.148894Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:7ad62182f3c23e819667274f736888345ec72ea956844a1a517d6d53d6103e8d

Observation 80b2eb8f-08e3-4d5a-865d-91f85e7302ed · outbound

This paper cites Empowering Biomedical Discovery with AI Agents.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Empowering Biomedical Discovery with AI Agents

Reference 32

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.136800Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:1eb8886efa289ddf459b5b41e18757841b9913817ea4f2d0273e8f26ac47d0de

Observation 8d36f1e1-9fcc-46d2-8333-a1a07186ae65 · outbound

This paper cites WebWalker: Benchmarking LLMs in Web Traversal , booktitle =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebWalker: Benchmarking LLMs in Web Traversal , booktitle =

Reference 33

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unresolved
no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:6d80385d280a1bd6b9cd6e0c07234caa2df7b902fed24a6cac708da82af0dc86

Observation 4264b90e-174b-4f7c-adf2-bb7345027b23 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T09:40:47.119927Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:177af760c09124ff2e4c404341d1c3c6d810ac30923080138ff0d56e7a63223c

Observation dc05e2b7-3c30-4c38-8922-d9cbddd55a36 · outbound

This paper cites Narasimhan and Yuan Cao , title =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Narasimhan and Yuan Cao , title =

Reference 35

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unresolved
no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:d3b08a6867c0ecbea39df4079c963e6aa641025024811d68f9a62ae825faeac7

Observation 453effcc-9de7-48c6-869c-7f35495c94b2 · outbound

This paper cites Qwen3 Technical Report.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Qwen3 Technical Report

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T09:40:47.083488Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:6f3195a3127f80b028bce9aaad6e6d514c9681be582783b96111b7a24d7bec81

Observation 5f080a82-3ac6-4f37-9d23-42c46fd7a7eb · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 37

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verified exact
local_arxiv, observed 2026-06-27T09:40:47.139128Z

Source-reported events for the cited work

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

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Observation 87412aa9-3705-40a3-8d86-29f09927d451 · outbound

This paper cites DeepResearcher: Scaling deep research via reinforcement learning in real-world environments.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement DeepResearcher: Scaling deep research via reinforcement learning in real-world environments

Reference 38

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a10c4fd2ee4ee1b08babf9fc46792085c4e752688f8340175a594071579757d4

Observation 0c611697-2ee0-46a2-acb3-f7d6f5f47c6a · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 39

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local_arxiv, observed 2026-06-27T09:40:47.085873Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:9a8bf38e66a35f35464bb62342373a778d2d5ad46656f53cc23f68cffeb265cc

Observation deee4dd3-f63a-4c0f-ba89-a7c9013b6840 · outbound

This paper cites Tongyi DeepResearch Technical Report.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Tongyi DeepResearch Technical Report

Reference 40

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local_arxiv, observed 2026-06-27T09:40:47.108703Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:8017a655be680cf3cc0365a0d46fb2cdbf20ba4aae6617f31eeb556f48129c3b

Observation 44b3eeed-8a2e-477a-bc34-db194b5e4fda · outbound

This paper cites 2026 , url =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , url =

Reference 41

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:e2a456c78598fe4d399c980455e0898f90f062ec6958d7845585d24243b8545b

Observation d7890753-df70-4d02-922e-d3ba6c14d24b · outbound

This paper cites 2026 , url =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , url =

Reference 43

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:da5403fb5526f48b54c9779a06695d228f75d44b442bc8f158e341ab26f3a07b

Observation c19194ca-6c64-4408-b54a-7a0fb423b165 · outbound

This paper cites WebDancer: Towards Autonomous Information Seeking Agency.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebDancer: Towards Autonomous Information Seeking Agency

Reference 44

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arxiv_id, observed 2026-06-27T09:40:47.133729Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:1ef3446a9a060e07c6916c368543da669a0bfd9a60734be671c1d863f22b97c7

Observation 8b901640-899a-4c06-a9ea-15c7ed9b744e · outbound

This paper cites WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 45

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arxiv_id, observed 2026-06-27T09:40:47.141721Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a7b9522d27da584e096fc5b5b5cd69555b2441d4b13aebd8ea55d9775b7aa977

Observation 7ae2de35-6a05-4370-bc23-5c95b372bfb7 · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 46

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local_arxiv, observed 2026-06-27T09:40:47.097442Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:1ed33d6015aa37daca81b042a4ff2b91fc189c1916c8a05666ba996a3e3999ef

Observation 5161a797-ecee-4690-abc9-b4b1e04d5c6b · outbound

This paper cites Assisting in writing Wikipedia-like articles from scratch with large language models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Assisting in writing Wikipedia-like articles from scratch with large language models

Reference 47

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doi, observed 2026-06-27T09:40:47.124097Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:be99da52ef059305ef63ae9b4144302f59d471dec90047ce876419767d0c3278

Observation ea0f73c0-8f65-409e-b581-911b6f05d9dc · outbound

This paper cites doi: 10.1038/s41586-025-09422-z.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement doi: 10.1038/s41586-025-09422-z

Reference 48

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doi, observed 2026-06-27T09:40:47.075504Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:b1fdb5298abe1dd725464c4ed885d8623ae3bc8aff5672f11d33ef566e472df1

Observation 92f00449-348e-4cd9-a5a8-371c499433bb · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Toolformer: Language Models Can Teach Themselves to Use Tools , booktitle =

Reference 49

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:5d41222d55a40637ccc84add98ffb126ab586e80f68237d74fd262b8315d3d7c

Observation 924ed92e-07b9-49a4-8d8b-ea0405d51bca · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The Twelfth International Conference on Learning Representations,

Reference 50

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:ce29ee143453fa6e57cbfed348c6345ae003bc119aeab460ba2ffca8303fa78a

Observation 03866229-5dc0-4e2e-bf20-f3783955ae29 · outbound

This paper cites HuggingGPT: Solving.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement HuggingGPT: Solving

Reference 51

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:925625b58f5c9a741909ccf4dca1dc0d797c92bd689786e5140b9f00ac05baf8

Observation 08c3f51f-4f19-4e7a-a24f-b2094f29ea48 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning , booktitle =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Reflexion: language agents with verbal reinforcement learning , booktitle =

Reference 52

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:7b350cb64396a24be454f4602c01e3c16cb571822d58df38a5c6f90a90c2c9e3

Observation 77571a0d-b52b-4811-8ea2-1da92f591a21 · outbound

This paper cites MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation , booktitle =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation , booktitle =

Reference 57

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:9444002fc3a16bd1160d21bd27ba07c9899bafc6a64d9cb66e0299fd00c5accc

Observation 2817b09b-830e-4daf-a808-f99119c444c6 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebGPT: Browser-assisted question-answering with human feedback

Reference 58

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local_arxiv, observed 2026-07-03T11:28:04.214707Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:332514aa84761a7958e88b62ffea37bbdac9d771d107976facf6a401e6ea3123

Observation e9295921-52e9-49c8-b4c9-03f168d72f77 · outbound

This paper cites AgentRxiv: Towards Collaborative Autonomous Research.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement AgentRxiv: Towards Collaborative Autonomous Research

Reference 63

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arxiv_id, observed 2026-07-03T11:28:04.225540Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:63f2b2f4ab033c21ea5d4717da728c618c4eb1873df46df4d9b5412592c196e1

Observation 6f43cb4b-4e6e-41c5-86a5-956c42673dfe · outbound

This paper cites AI-Researcher: Autonomous Scientific Innovation.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement AI-Researcher: Autonomous Scientific Innovation

Reference 64

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arxiv_id, observed 2026-07-03T11:28:04.222929Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:6ea6f374d359c9c0d927978d4ea92993128debcd0d44d35369c983ca7cd63c60

Observation 84bf7913-a57b-47c9-8cfd-c1b5466ae198 · outbound

This paper cites bioRxiv , year =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement bioRxiv , year =

Reference 65

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:631d81cc3a4415d0312b0ce33b75a6f453860ca838821f42cd5164aa2bf22b22

Observation bb76cec4-4502-4341-b4d5-25b101736181 · outbound

This paper cites 2026 , howpublished =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , howpublished =

Reference 67

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:553048ed2faecee9d8655c13ed852c3f1672542feeffd1db5f6d97ad951359d1

Observation b5253c51-4408-46ec-8c8a-0b4a628e5cf7 · outbound

This paper cites 2026 , howpublished =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , howpublished =

Reference 68

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no resolver link, observed 2026-06-27T09:34:41.800309Z

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:2648fdefb7e057540b8909fa1f31493d94c3f8d0d1ea565f238cc681ba1120a3

Observation 7617b107-6444-487f-af8a-02423656c2e5 · outbound

This paper cites ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

Reference 79

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local_arxiv, observed 2026-07-03T11:28:04.228018Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a183cda56b840b4da4ea6816c130ef82d73ee7681eece8a6915943bb276e03bc

Observation b8368929-804e-4aa7-b205-7e7d753100f7 · outbound

This paper cites CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark

Reference 81

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local_arxiv, observed 2026-07-03T11:28:04.220312Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:04d0fd6a2f62b1ab0729347a0c99c9cc354527d3280dfcc4fc91ba3eae716caf

Observation 0a523db7-2654-4a65-a3dc-ee7931ab782e · outbound

This paper cites DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Reference 82

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arxiv_id, observed 2026-07-03T11:28:04.223288Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:981b8861e11082f37eb04f60b14f29e8b1321ba36ab2e03643788226aec6b094

Observation 99e4e95a-a062-4006-b582-2b9af037c74b · outbound

This paper cites arXiv preprint arXiv:2505.19955(2025).

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement arXiv preprint arXiv:2505.19955(2025)

Reference 84

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arxiv_id, observed 2026-07-03T11:28:04.209482Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:fb64cd629415bfc7dbaa047bfe348ef94bf6d2ca980812cb32a7521123468a72

Observation 79c64de6-dc8e-418e-9492-ee5f85418eb2 · outbound

This paper cites Browne and Edward Powley and Daniel Whitehouse and Simon M.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Browne and Edward Powley and Daniel Whitehouse and Simon M

Reference 85

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:eb61eccb3f8c17ec9afcceeee36b733a68b5596865874f143384028e322162e9

Observation cba09861-5123-465e-90f8-3469f606f276 · outbound

This paper cites 2026 , eprint=.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , eprint=

Reference 91

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:4eefff7eb395bb6529056628fa75904cde89ad70a87b867453414a36eaecf20d

Observation e7c33ca8-d0ac-4876-8262-2e0a7f23eda0 · outbound

This paper cites 2025 , month = mar, organization =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2025 , month = mar, organization =

Reference 93

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:464844eab4f01684045971bcc5a10c70ba24d3b2257f294f181c66e56a99a5ae

Observation 094a8b80-d334-46c2-8cf0-e9209b619715 · outbound

This paper cites 2026 , eprint=.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , eprint=

Reference 97

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:5ad96266146d5c2dedef3eaf34c882212130b5f57158712a53d364f39fae0908

Observation 263b7dcc-253e-4f63-9188-dc5942b28532 · outbound

This paper cites 2026 , eprint=.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement 2026 , eprint=

Reference 107

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:32ec7feea181d6c1a95bb0c2fac7e588a2810cab3a01078935f3ef1c6f7f7234

Observation 23f7e28c-66c9-471b-baf1-c456566d6702 · outbound

This paper cites arXiv preprint arXiv:2512.23343 , year=.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement arXiv preprint arXiv:2512.23343 , year=

Reference 109

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arxiv_id, observed 2026-06-27T09:40:47.015175Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:72f01982a27aaf20e3a92e2eab4a40a6e8a64abb96984bf2fd74e9a35f56d5b9

Observation e9486f66-ad49-43ea-8a19-5e32dd25ac7e · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The Thirteenth International Conference on Learning Representations,

Reference 110

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:53e17fe9c0ff6572ed36ca97e437e8c4ed094865f604f49baf223ba8967d494c

Observation 6cd24bb2-faa1-4a84-86c1-0739a44f44ab · outbound

This paper cites an unresolved cited work.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Unresolved cited work

Reference 111

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:2780deafe7fbdbccb554f2feb92730c961de72b93e6c29c0c755e801e6ede6e0

Observation bbf4a70f-5afd-49a5-bec4-27e8d874c291 · outbound

This paper cites Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Xu and Xiangru Tang and Mingchen Zhuge and Jiayi Pan and Yueqi Song and Bowen Li and Jaskirat Singh and Hoang H

Reference 112

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:7ec861898f7604ca655a350fb7091605e23d28b3c64dc4ef75a898a4f7ee61f4

Observation cb154c4d-c346-4e24-92e4-9a603746dac2 · outbound

This paper cites Claude Code.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Claude Code

Reference 113

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:8c0ec9e997856957d22ffee1ce053f2edbfae6cd39525efa956814a3e3bf639c

Observation 1da68712-cb96-4ee9-bf5e-e15eadd891d3 · outbound

This paper cites SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?

Reference 114

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metadata mismatch
arxiv_id, observed 2026-06-27T09:40:47.027136Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a00aa362eb6ec32d1312c188afc5fbffd991a20f2615841ed96bd8a73e146548

Observation 63ca5120-9179-411c-96a6-ee7e58da9f14 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 115

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local_arxiv, observed 2026-06-27T09:40:47.023998Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:1b929b15ad722bf202285b0926a96abc4bdee91c2797f3b424547a2fdc8639bb

Observation 40bc2d30-00c1-42c4-89ca-a0fcea846b21 · outbound

This paper cites Toward Autonomous Long-Horizon Engineering for ML Research.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Toward Autonomous Long-Horizon Engineering for ML Research

Reference 116

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local_arxiv, observed 2026-06-27T09:40:47.021404Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:c5957ab67f34b5f9f8a01a09dcf423064da3a1f3bec7eeeaa406f68eef023d5d

Observation 7256414e-afad-4a2d-9683-8f897677b18f · outbound

This paper cites MARS: Modular Agent with Reflective Search for Automated AI Research.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement MARS: Modular Agent with Reflective Search for Automated AI Research

Reference 117

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local_arxiv, observed 2026-06-27T09:40:47.021153Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:7f43d291855671ce8e321dab4f33a29a2349920d14c2c46a6fd5ec668960d8e2

Observation de9f9559-3f59-4240-9449-302bfad1419c · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 118

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T09:40:47.024579Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:987dfe67ac5b50768e17a5258fdc5c9a96888aae5d1649b97e648be5b239bd20

Observation f8a2c866-481f-43e0-96cb-26ed4ec32759 · outbound

This paper cites Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization

Reference 119

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local_arxiv, observed 2026-06-27T09:40:47.018208Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:2cd8caab4b3b527f801cff6fd36e996f61603bf5b62537bbf36d2b87dba0521e

Observation b3c5329f-9958-4a17-9fe4-79f6e6cc5bf9 · outbound

This paper cites DataMaster: Data-Centric Autonomous AI Research.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement DataMaster: Data-Centric Autonomous AI Research

Reference 120

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local_arxiv, observed 2026-07-03T11:28:04.212244Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a8c4e5e919c733b7546950b17dd56005f089ec3fb6aa76923d1cc04248717cfa

Observation 5aede245-28b6-4528-8b1a-e426b1ca81d3 · outbound

This paper cites Automated researchers can subtly sandbag, March 2025.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Automated researchers can subtly sandbag, March 2025

Reference 121

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:caf8a09bf959e620d8a97bade9b9f143fea3d340de23b2c76cdfa007a57985c9

Observation b571b1eb-5a03-4248-8b06-3a201dae5764 · outbound

This paper cites Memory in the Age of AI Agents.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Memory in the Age of AI Agents

Reference 122

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local_arxiv, observed 2026-06-27T09:40:47.009408Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:3e28a9499092d57c4ecd63df05e1ea3c9c42b4e5c247d82572edc0b0b03795f5

Observation d996186b-6a4e-44b4-bb8c-d91bc6bc7df3 · outbound

This paper cites AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning

Reference 123

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local_arxiv, observed 2026-07-03T11:28:04.220610Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:3efe9f208ac664f62cf8284ec9b89473b4c238ec855442b25f784c64c24cead8

Observation 59fe4c1e-8836-4c2d-b3d7-06b9b24bea46 · outbound

This paper cites SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent

Reference 124

Resolution
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local_arxiv, observed 2026-07-03T11:28:04.217585Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:6e3ed1e7ae543af482dba50b531a01edace6e6b73ecdc430af7d42860f87d0fd

Observation 4c1829ca-3b92-4ec2-b085-f7dd111e9028 · outbound

This paper cites Mlagentbench: Evaluating language agents on machine learning experimentation.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Mlagentbench: Evaluating language agents on machine learning experimentation

Reference 125

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:8f65af85ab7a146a634f7456d67b69788fa1da1c2b07ca1762cd7d9cfd5902f6

Observation b8e4bcb6-f081-49c7-bc43-d3b5e8224472 · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement AIDE: AI-Driven Exploration in the Space of Code

Reference 126

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local_arxiv, observed 2026-06-27T09:40:47.012207Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:21ead805d885bc9f05950bfd0349377d840f9bab7df286bd9e33b2b0b02614a3

Observation d92b9afa-1057-4fbe-91ef-a0e1aa401f1e · outbound

This paper cites NanoGPT-Bench : NanoGPT training speedrun benchmark.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement NanoGPT-Bench : NanoGPT training speedrun benchmark

Reference 127

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:a0461ed0fffb1be6a6662e6e323fa545935b45a9bda85bb8b9cc642fe06e12df

Observation f3cbeaa2-0004-4387-aa3f-0633fd011d94 · outbound

This paper cites autoresearch: AI agents running research on single- GPU nanochat training automatically.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement autoresearch: AI agents running research on single- GPU nanochat training automatically

Reference 128

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:27af8e914b16de4707541713672e9cb7f603b3055161bb4c93a098c2e1a07e6b

Observation eeed522f-06b0-4286-80b7-ad59832987b9 · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Measuring AI Ability to Complete Long Software Tasks

Reference 129

Resolution
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arxiv_id, observed 2026-07-14T01:19:52.953392Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:4671516b93461a7c6f5654e495db1f730ddadedd94d92158a0eb47f784795338

Observation 430c8e87-b1a5-41bc-8631-d69ab41f2455 · outbound

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

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 130

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local_arxiv, observed 2026-06-27T09:40:47.047466Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:4550513effd736cd3b96108364e94ca54a7734a891d1a125befdb58b587bb023

Observation 9d0fe147-0e55-4bca-8826-8cf9b848e122 · outbound

This paper cites The FM Agent, February 2026.https://arxiv.org/abs/2510.26144.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The FM Agent, February 2026.https://arxiv.org/abs/2510.26144

Reference 131

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arxiv_id, observed 2026-06-27T09:40:47.030226Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:c2cdd6d8163e336a7aced8364c62b769751b1d9c8f3743ff33b492547ce22143

Observation 148d93e5-0409-463f-97ba-88294612d7d9 · outbound

This paper cites Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Reference 132

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local_arxiv, observed 2026-06-27T09:40:46.980607Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:941226e9d557a5889d6f7d06351e05f18e72ddeed9ba7f07a0834134007334d6

Observation 5f3f8e1f-4961-4ae5-b2e6-7a54210ca862 · outbound

This paper cites CoRR , volume =.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement CoRR , volume =

Reference 133

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metadata mismatch
arxiv_id, observed 2026-06-27T09:40:46.975647Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:d6a27595cd5abcc8ace8a456a7756ad1ab8d4730b6d95ddd97574b027d54e255

Observation 91775afc-beda-41fb-a1b2-cc7928ae5b2e · outbound

This paper cites ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Reference 134

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arxiv_id, observed 2026-06-27T09:40:46.991899Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:260adc1e62f33d62dee25c32e55404469877b711640b36d04f61eb043306637c

Observation 987dc342-0a85-40c2-8db6-d6d108e53ed7 · outbound

This paper cites Autoharness: improving llm agents by automatically synthesizing a code harness.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Autoharness: improving llm agents by automatically synthesizing a code harness

Reference 135

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arxiv_id, observed 2026-06-27T09:40:47.036892Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:988b3041bbfdf3104b8e833c5c8db17913bdb75e87c70c0c94f475d28ec580b7

Observation 3acb86d9-3e0e-4bda-90ef-c5a0d2e43fc5 · outbound

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

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 136

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T09:40:46.975414Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:d626791f67afa2b929c3e1ac6dfcd771d73acdce290a3482bf35d56bf8970584

Observation ad71462a-6bd9-420b-b6b3-a92f3519e68c · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 137

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local_arxiv, observed 2026-06-27T09:40:46.978100Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:41510e329b45078e55175d18312d2062451d61c9153a71686f733c83a7a14d9f

Observation 10f61a0a-4e80-4aeb-b20a-81abf6dbbf3f · outbound

This paper cites Kapso: A knowledge- grounded framework for autonomous program synthesis and optimization.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Kapso: A knowledge- grounded framework for autonomous program synthesis and optimization

Reference 138

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arxiv_id, observed 2026-06-27T09:40:47.003124Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:86efdc6fec9cf4eb16fe8b4cba6f4b017449429537b6f6787f691b823f2ea101

Observation ec2ef192-e0f6-4842-8eec-f4abb5de5566 · outbound

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

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 139

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local_arxiv, observed 2026-06-27T09:40:46.994788Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:fcdf5d13c0523b077d58999f9334feaef4b6501a02b98905ba94504ab4450ab1

Observation df11f3ba-8c68-4ac1-9a5f-64d1808a9296 · outbound

This paper cites Codex CLI.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Codex CLI

Reference 140

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:ae51d518d9dac189610798072e24457e1e722b3617db02275d2d7f7183f26ade

Observation 694963e2-fb0d-4a51-8501-ff71ea9f1d96 · outbound

This paper cites O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S

Reference 141

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arxiv_id, observed 2026-06-27T09:40:46.937223Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:b442c2709e1577ca1837c682bd57eb5bd475b5d30118eea2279d3ca0f9539fc5

Observation 1dde0b5d-5cca-40f8-a9a9-2bab71613ce5 · outbound

This paper cites K., Krupke, D., Kidger, P., Sajed, T., Stellato, B., Park, J., et al.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement K., Krupke, D., Kidger, P., Sajed, T., Stellato, B., Park, J., et al

Reference 142

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arxiv_id, observed 2026-06-27T09:40:46.967782Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:0b76b052e669fd095f524e23893c5efebcedaafe2ed721d12b2501a65ab3c72a

Observation fdcfd9c7-0c66-4014-b52e-675a4aa3cf05 · outbound

This paper cites MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

Reference 143

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metadata mismatch
arxiv_id, observed 2026-06-27T09:40:46.997725Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:19484c944722c80bd4b01dbfab0f7b9ecdb7cdb2fc3b75a059afa1fb592b8a14

Observation 8c034074-d4bf-44ce-82dd-dd729ef9d758 · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Toolllm: Facilitating large language models to master 16000+ real-world apis

Reference 144

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no resolver link, observed 2026-06-27T09:34:41.800309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:e5e844d0a5a58230c15398e7079d0cf5a64ed23a6589e3f851724917c0943c48

Pith citing papers

Observation c0ad3597-e855-4609-af88-347b4f1cc2c6 · inbound

Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents cites this paper.

Toward Auditable AI Scientists: A Hypothesis Evolution Protocol for LLM Agents Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 14

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unresolved
no resolver link, observed 2026-07-13T04:47:57.575546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:47:57.575546Z digest=sha256:0ab80570ac933c47c863494aa484139e65433de307e73991fe3046867c4d0043

Observation bbdf131e-0667-4586-9bdc-80047d301567 · inbound

Towards Autonomous and Auditable Medical Imaging Model Development cites this paper.

Towards Autonomous and Auditable Medical Imaging Model Development Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 24

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unresolved
no resolver link, observed 2026-07-14T11:05:51.130839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:05:51.130839Z digest=sha256:b66c0449d1d3cda6e90d62a9cc57ce9039e84a67a077b35a50c4a4f7ea05714a

Observation a36b348f-eb47-499d-acec-467213b2d1ae · inbound

Mathematical Discovery in the Wild: AI-Guided Proofs in Banach Space Theory cites this paper.

Mathematical Discovery in the Wild: AI-Guided Proofs in Banach Space Theory Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 46

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unresolved
no resolver link, observed 2026-08-01T18:16:47.462554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:16:47.462554Z digest=sha256:62c4269bf8595626db2e557a934412d38b326f6d97e1f961452458d166eb2c69

Observation 7f9c3bc9-471b-404e-ab48-8530d11ba0cc · inbound

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation cites this paper.

Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T23:25:12.081761Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-04T23:25:08.636724Z digest=sha256:f3da93d49cc35adf2b291224907812c724b6c09010f5d408ec946e2ef6afa9bf

Observation e099c1fe-77ff-46c6-9bee-f2b4a8098fcc · inbound

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 70

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unresolved
no resolver link, observed 2026-08-04T15:12:55.681064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:12:55.681064Z digest=sha256:09e8274d8ce6d3ee70bf0352e5db25e4a4330ca3aa625a98c76e0f748382e7bb

Observation 8b945044-d743-49b5-93fd-3ae122b7c994 · inbound

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning cites this paper.

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 35

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unresolved
no resolver link, observed 2026-08-06T04:16:45.584075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:16:45.584075Z digest=sha256:bc912c7c84b941260d24fac17c79d8b58265ed015dc279685989f0f2259ce5a1