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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2505.18105.

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

pith.paper-citation-record.v1
2505.18105 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:16.470393Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:44:12.691029Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 29fa7f56-f316-4093-9f69-fc7bb2349980 · outbound

This paper cites Open Deep Search: Democratizing Search with Open-source Reasoning Agents.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.276394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.276394Z digest=sha256:173b48d336e12f00714369c6ef478c9bd5ed357f1a9aec86fd7a54e5aa50b7b0

Observation d4a43f8b-fd44-45c4-baa5-29b4f09721cd · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:39:17.407173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T14:39:14.405309Z digest=sha256:e299463c86301c40015b81371e219e8d6dfdc3fa34d6e2e5a7d72a3b6ab530ef

Observation 16a4aa2c-a36b-4b74-ac5b-2473499db5f0 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.520100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.520100Z digest=sha256:b0da4f1024e6c413750a4b16bc26d3406fa8e08b6030e86f3782c6ac8a1c173d

Observation b680ad1a-4667-4e7b-9be6-aad484748f7a · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.596443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.596443Z digest=sha256:749aa74467da5fe0eaf716b293c67cec78920d3a828f2e892dd29c9e0e089680

Observation a87b8da9-dc96-48fd-93be-bff158799658 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.665255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.665255Z digest=sha256:91cb4f4a39dd3be41a720c8d7ac58d7fee081241ef90ed61be3ced8af495628d

Observation df3c72e9-0918-4454-8048-0b6d380322d2 · outbound

This paper cites OpenAI o1 System Card.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework OpenAI o1 System Card

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.756040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.756040Z digest=sha256:790d80df164439bfb82f8b1277109a2f9bb34029b1c40108e946be078ca60a91

Observation 8d285042-5d91-4ed1-b71e-cfab85c71e36 · outbound

This paper cites Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:14.888247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:14.888247Z digest=sha256:77e75dd1c044894790e34430ed97c0edacb445df88904c45c77fe12a5281411d

Observation 7b31b1b3-a6fa-4f6c-bb99-4e87babf0dfb · outbound

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

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.004282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.004282Z digest=sha256:7df96cfaa0a280c3a5bd39ad59c25256632d1f0d9bbe2312143720a846bd0d1c

Observation ed0eaa32-62ae-4cc2-8855-2b04d7b2fd47 · outbound

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

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.138667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.138667Z digest=sha256:7319fd42116a1d8c0dcd372d8f9decaeae7ce7bf2f12abf712ec6d6e88c46092

Observation 517ab5bb-170e-4293-aa56-4271cba530b4 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:39:17.194535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.245368Z digest=sha256:401a41892474de7452677e1a0628a40f3aa7b843c9e9c0c950da1afe4153427c

Observation 13b108cb-6923-4507-aa0b-9bec9be02f89 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:39:16.974527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.395569Z digest=sha256:62e1f8a2cd3200adcdd5bd840309e8d0a3daa1318d49bfe0f4f67219d07d0cf0

Observation 566ddf8b-5345-4d93-a28c-693c1108d271 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.502165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.502165Z digest=sha256:8bf888e1c5e9fce55698840e62af8b514604dffc2bcdba63db222d7df9a1cd1a

Observation 428adf48-a0d2-46bd-9f88-d797f4b0e246 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:39:16.811026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.586439Z digest=sha256:736e792766542dc5f9fc86d66c7a6ba2b6c297835f4833ad3dae6af141d99470

Observation 8be07af9-7085-4b03-a54c-900c6476ec1a · outbound

This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework O1 Replication Journey: A Strategic Progress Report -- Part 1

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.669194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.669194Z digest=sha256:cbb36637641b325026757d858a2b80e3b40e60b43e5f2d87eb3f8d27ad3fd251

Observation 1379db96-b62b-4a7e-8eca-d2a71991d6ca · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.793621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.793621Z digest=sha256:c4592f4457a75ef25df4def1cfa1967f31c20c85c1c1a7351600a8405ac19c4a

Observation c1f1047f-5aa2-45b8-b292-a3dc57b9304a · outbound

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

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:15.910025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:15.910025Z digest=sha256:98eea3eb36357ec00dfd30b15144236e62d8af643f093b7b9f3528fee767600e

Observation 5aaa22ad-e161-48f2-9d0d-d2e52d65acb3 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.014567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.014567Z digest=sha256:4d7de4567afa22588a791a68800b4f76de2327969ad0eb0cbc475d130814116c

Observation dc5e234d-703b-413a-ab12-d7df7ff68619 · outbound

This paper cites an unresolved cited work.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.120758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.120758Z digest=sha256:aeff8093d8254a68befa17745d1e71efc8909bf85993b366926bdbb05ace9987

Observation e070c116-e99a-4e2d-ace8-659f2e7a1c79 · outbound

This paper cites o1-Coder: an o1 Replication for Coding.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework o1-Coder: an o1 Replication for Coding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.234295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.234295Z digest=sha256:d829ac77a07f264041c1905b4ffd0919bb526dcabf2ff904b9b950e961c42ac5

Observation 85e173a6-6151-4bde-922a-d70f69f04ee2 · outbound

This paper cites DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.337520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.337520Z digest=sha256:d08e376ba964ba5ee8ba512bcdb059c4e3278e658b476c1c1e9c3579ea01e32f

Observation fbb5c3d5-3af9-4bbb-9fc9-30b539e1701a · outbound

This paper cites online" 'onlinestring :=.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework online" 'onlinestring :=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.397227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.397227Z digest=sha256:e6514e068d99e158f78a27d2f5a2cf39cb470d8a9aeb651c86fe57f6b8844aac

Observation 19dd7d7c-c267-4e05-a78f-45e02e8a5f12 · outbound

This paper cites write newline.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:16.470393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:39:16.470393Z digest=sha256:d9adb28eb1fde3f54fe387fc4a353746852f21fa14b25384450bffde718a3445

Pith citing papers

Observation 0a8abaf9-508a-4798-b519-59f9a9808707 · inbound

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches cites this paper.

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T21:44:12.691029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:44:12.691029Z digest=sha256:598f4bea4569404cd042f5f29247513338ab9e819dcdd37913e083cd5a463af6

Observation 58b2e9f9-264c-4002-962f-95023d9d2a37 · inbound

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning cites this paper.

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:13:58.880912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T10:13:58.774968Z digest=sha256:940e9b52adf8a9042da81595f0eccb10bc4949367dd7266e84a3df9404022cdf

Observation 93fe9a12-c4cc-4cc8-b767-0489e727405b · inbound

Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration cites this paper.

Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:52.059777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T19:41:00.530274Z digest=sha256:9816305a39c3425cb2a95bc27009e781df5fb95659572152c278a8082a80d9b2

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

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement cites this paper.

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:11c24d88e0a60181593cb642261ec2c2e53f4d51c0ecc23de6c4a66eec1d3d06

Observation 0b19487c-cefc-4d25-915e-39c95c891b9d · 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 ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-04T15:12:55.973167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:12:55.973167Z digest=sha256:2566cdaa7f038d60092df74a11cfd88a8599232d7075d8fb7f72397743008719