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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 9 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 2026-08-08T06:32:00.761636+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=sha256:35946ddc346d97ac0160085b7732a8dd91cd3a69a14217a1e207ea2cdbcb0b85

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:39:14.405309Z digest=sha256:721a687878640b8b4ef0e542433d10d903e851f718c88b3642ab7bbd73adf3e8

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=sha256:4d616244f07b170c0d86aa4fe9e863919eb8450fa7054390ed87d967cc23bc97

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:d917277c5df77cf3b245c831cc01514650f4b86391c0d4aa14a78370ee5d5f2b

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:b261e26317f66d9c103363ad5a325a7d00e229a115986c019d09d22b97ffb685

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=sha256:12ac3f0fb84942de60598cc07c088ae15328124b1979714037d741864dd01601

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=sha256:5f9422b6ac623fbc36ebd69e0b4885772ed55895d9d74f35f85b1eb504d74b6a

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=sha256:96245d77b9e6c2fe32cbe9e7419529462e4a10f1e5e1fa3376f392a4a250efca

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:ee5b6cac473643a83811ca78c9dbe790744ce3e0561af19cf5e9161b8fdb017a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.245368Z digest=sha256:06a882efb3e831d74e6536ee7145778f066d46559bdd340313373218ae41ea09

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.395569Z digest=sha256:a08883b1a06ffd2fe04abe4c502f8bcaf83f30b28add7b2c0339dbdf2a21fb67

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=sha256:8b27e656aa2da7441ef4f0bef19aaf04249122e33cd6751e0a12a0562442eead

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:39:15.586439Z digest=sha256:09f310d24f60709d117093d75f2e208531f2a105fe4a09f1366a2ba915a5577d

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=sha256:3c0fd612632b7d22de5ded610b4b42a2ab984429d236f7f0c2507e92fc0848ea

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:b8532f47ebd8775ad77385986b746c0ba415ca4cd459e01a73c552de8e533cf1

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=sha256:9c47818b1cce6dfe065dd0f144191c74f5383c398950a1299c1045ce10a9a81d

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=sha256:02bd78539348b1be873ea43eeb866668e261ea9555adda9104c24f36480a3e48

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=sha256:56930d1dc733936077d1690afe7a25ed041a856194bd1d17b6df6e87eb4f7fc2

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:b06394abd61342ebc2a1d7d26fad75acdb738b74e976cd93474f922f9af250a7

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=sha256:1cb9fa70ccf88d47a69ccd3b0014153011b56b7b02f04185018ebd3f83a20562

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=sha256:2c3a289dce971ff2a14426405a24659a37db5e4b04e860af27f46ed2eb34c25c

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:c61297d1c88cb8a7775cbcb259412b7050aaa904a83cc71b62869ef9e9c9ac01

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=sha256:2f5be462522f3906bde269211f719568758b5acfdd298aadecb9c675516eef5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T10:13:58.774968Z digest=sha256:c083c5d5cf36de04b2484aa1102b4c2224610524256c37558f918ca9c9792fa4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T19:41:00.530274Z digest=sha256:391cd5cf68b732c9f75808ece60c18a4374f922da7bbf995bf0b8f463e22da41

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T09:34:41.800309Z digest=sha256:f36b23d4b6ee812a2551faae3a1be64a7042a72a55f2db22070c5062f581afa0

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=sha256:8bead12db6f2636a9e4f4ac5daf3c3f2640f919963e202c7f04b041df611052b