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Paper Citation Record · LEDGER

Open Deep Search: Democratizing Search with Open-source Reasoning Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2503.20201.

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

pith.paper-citation-record.v1
2503.20201 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:49.237509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.492145Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c0d43f9e-8f95-4da9-8df9-e159389a673d · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 9

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unresolved
no resolver link, observed 2026-08-07T15:30:49.237509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:49.237509Z digest=sha256:cd95b365c3c01aab2e693f4c1e6a984b75cf4ff1d1a67257aa06ec475104885e

Observation 847a1c54-3737-4fa3-a66e-b5de5a9feefe · inbound

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering cites this paper.

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:47.195572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:47.195572Z digest=sha256:fa0605906b76f74caf2f23d92b712a09e0e3d741bf8f32f7bb820108b2d1d2e6

Observation b991f84e-a604-43c8-b6cd-6b440a549781 · inbound

Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models cites this paper.

Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 3

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unresolved
no resolver link, observed 2026-08-07T14:55:00.253601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:00.253601Z digest=sha256:34a3a6b646b7b3934c8c9f08c25030aa42008a5a4201b459cc7eacd781ac1f37

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

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

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

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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:d953938419fb6d4a84c29b1681d4706c007d2b4917bf126264d09297656769aa

Observation b83af300-3bf6-4609-926c-db6a7c38736c · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 27

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no resolver link, observed 2026-08-07T13:59:16.975573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:16.975573Z digest=sha256:0ba1f4de01b618b417f77457ad7984079d898862863ff9d75942b745c4e320f6

Observation ec3bdfa1-4e6e-48fc-baec-24f52a8eb3e3 · inbound

AgentDNS: A Root Domain Naming System for LLM Agents cites this paper.

AgentDNS: A Root Domain Naming System for LLM Agents Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 2

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no resolver link, observed 2026-08-07T13:11:04.341327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:11:04.341327Z digest=sha256:d96cd236ae585301084d02b7f211bcd829f010159ca376c94174ee3ba569f0c6

Observation 5e160353-f0b5-4681-bc69-110d6959886c · inbound

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models cites this paper.

CHANCERY: Evaluating Corporate Governance Reasoning Capabilities in Language Models Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:40.837757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:40.837757Z digest=sha256:5e75daface6253ad5548a1279fd0aea48860a042c435c303c94e535a55062ee2

Observation 3aad6f24-78c8-4080-8997-51e693ff2fff · inbound

KnowCoder-V2: Deep Knowledge Analysis cites this paper.

KnowCoder-V2: Deep Knowledge Analysis Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 2023

Resolution
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no resolver link, observed 2026-08-07T05:51:44.491056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:44.491056Z digest=sha256:a40f2890a1af51b508a3ad3d45774c69f72246b4590330ed37f1dbe4b4183a3d

Observation d7fe8d90-6bb6-4b3d-9abe-b9c6e032c16e · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 8

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no resolver link, observed 2026-08-07T00:48:06.960216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:06.960216Z digest=sha256:1861f0b75d70a144dcb1c4053c295f1ab86b1663515f972d3261ed4d0ccc2a42

Observation b3f02d48-beee-40de-8368-a35c283bdf17 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:27:04.453500Z

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=2026-05-16T15:27:04.228144Z digest=sha256:cd2917f49b9db1500e46cf50b8198d7d861a1de7d2ff7bc4531f759b8dffefe3

Observation 50bf06a1-b082-4dd1-928b-c22c60b656f9 · inbound

Deep Researcher with Test-Time Diffusion cites this paper.

Deep Researcher with Test-Time Diffusion Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

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no resolver link, observed 2026-08-06T15:24:18.983945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:24:18.983945Z digest=sha256:5ffe44ca3224f9a76206b7c766e804a4b7b6fe78e4dcf01fd9bced982d16bd99

Observation 7c18e8ca-4db3-4e32-8ead-4440e27e2c12 · inbound

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward cites this paper.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T19:21:47.296408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:47.296408Z digest=sha256:83a007ea46e728b50d5e2785e726dadd993a0d0cc5ef1d689808305100a62f3f

Observation 9c4b1357-78e4-46a9-9a29-58a20e0c6eaa · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T23:55:37.716627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:55:37.716627Z digest=sha256:d0b591fee14cfd9fe2c2243c2c03811b321f7687dd7cf19c89b851b103e03010

Observation e6144339-f32c-440d-a59d-ee4fd68eaee3 · inbound

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 2

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unresolved
no resolver link, observed 2026-08-04T19:28:56.149783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:28:56.149783Z digest=sha256:6538a228166a47a4a02557470649ce2a658e0106bffd90da21983aa620671368

Observation 7f10bffa-af6b-44e0-a4c7-58aa76c7da89 · inbound

One Interaction Is Worth a Thousand Guesses: Benchmarking the Interactive Capabilities of Deep Research Agents cites this paper.

One Interaction Is Worth a Thousand Guesses: Benchmarking the Interactive Capabilities of Deep Research Agents Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T11:24:51.671400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:24:51.671400Z digest=sha256:044cdb86453c78363ec6952dc70cf1ea7ef8db98357de8e3e5f004d71a19073b

Observation 42045390-1458-422d-966b-e11e51733398 · inbound

Don\'t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination cites this paper.

Don\'t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:11.653619Z

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=2026-05-08T03:38:31.963469Z digest=sha256:c4c935905fdf54d1057392493922374d811b324d7d59254a98b82886209cc0ea

Observation b66393e7-7c25-4a23-b19e-80468286b490 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.493964Z

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=2026-06-27T12:59:51.091008Z digest=sha256:a6643936b6d41572d278d5f26e50b7bc1d4d4fd1ff67b28f2c62c08abd5295c2

Observation 76be0595-81d0-4fc2-be73-dd21c12e3e0a · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 78

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no resolver link, observed 2026-08-01T13:54:23.998183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:23.998183Z digest=sha256:229d5d2b00a396fcc4143294f3afb93d03f8d8368d20de524e624e862e5f4828

Observation 4dad7483-1a9d-443a-bdd5-154efb22a1b4 · inbound

SciDataSailor: Deep Scientific Data Exploring cites this paper.

SciDataSailor: Deep Scientific Data Exploring Open Deep Search: Democratizing Search with Open-source Reasoning Agents

Reference 21

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no resolver link, observed 2026-08-01T15:02:37.488903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:02:37.488903Z digest=sha256:3345eef27f6c08fd21e68388e270cf9a6b018512ae0dae6a2273065750c255f5