Paper Citation Record · LEDGER

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.12800.

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

pith.paper-citation-record.v1
2508.12800 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:58:55.548382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:14.258925Z

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 a42b061e-e432-4ae8-a381-f68c4d68bc22 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.498303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04807428-4349-4078-b87b-fc7b5a060e4e · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.259949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c52b4e2f-c84a-422b-a2f3-1637ad994beb · inbound

AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning cites this paper.

AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:46:37.202649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc32f3e3-071d-4696-a079-8e242b35ae44 · inbound

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling cites this paper.

Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.260619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.