Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.20285.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:46:06.476168Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:53:26.559767Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 c5991cdd-7b47-4238-886a-3b9c2b9eaacd · inbound
WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization cites this paper.
WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:46:06.476168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc6a072b-c9c2-460c-8d00-ee5ef2d0a98b · inbound
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning cites this paper.
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:12:12.567646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4edd2f95-e2de-4c54-93fe-7b8d4a76f0fc · inbound
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs cites this paper.
Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:11:18.143270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ad6397b-33fa-4012-a1e6-377125923f6d · inbound
Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning cites this paper.
Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:56:57.199889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e080c4-e6c9-45f3-af62-5d81e65b1224 · inbound
Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs cites this paper.
Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T22:38:22.644961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ba444e8-7598-4562-bfd0-495a41cc277d · inbound
DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents cites this paper.
DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T12:53:26.561191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation da761710-3b14-44fb-a3c9-3d3da856beb6 · 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 MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Reference 121
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:12:55.823323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.