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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 7 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 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:21:54.298586Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:54:15.544781Z

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

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

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

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

Reference 1

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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=sha256:1f06b71a7902b0635cef3969d6b009b7f818e110a2a0ad9aab40fd7b39168020

Observation 333bc3a6-c518-41fd-b637-37fd7b787a46 · outbound

This paper cites Act-r: A theory of higher level cognition and its relation to visual attention.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Act-r: A theory of higher level cognition and its relation to visual attention

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:21:58.991957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:47.377537Z digest=sha256:9a72f86a37d316b0c40b41eec230f7d57ae5b9170d7881994f021b3cec22c4d7

Observation 6e8fe023-8dd6-4a36-b11c-2c725ddc9947 · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:47.476660Z digest=sha256:64327dbeb479a229fd23a2111fee22af94d387b2a9c554ae707c0191be2b3f38

Observation af582646-658f-476f-a988-d491f287e233 · outbound

This paper cites A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward A Survey on Knowledge-Oriented Retrieval-Augmented Generation

Reference 4

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no resolver link, observed 2026-08-05T19:21:47.618418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:47.618418Z digest=sha256:df5e1fec43491f7e39b741791cd0b653cdfef2f11cf91b2c82bb3a4432de9025

Observation fb586f8f-4365-4b2b-9de5-ddccc1df586f · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 5

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no resolver link, observed 2026-08-05T19:21:47.722840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:47.722840Z digest=sha256:b178439540ffbdabb4327d6e3933de74dc97d13ae31b9a12b9aee7632238b62c

Observation 657704d0-359b-4b31-9bd1-7865900f8627 · outbound

This paper cites Careful queries, credible results: Teaching rag models advanced web search tools with reinforcement learning, 2025.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Careful queries, credible results: Teaching rag models advanced web search tools with reinforcement learning, 2025

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-08-05T19:21:56.259599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:47.820787Z digest=sha256:554abe8f24a7535d86e1f9ca599b37a599685049646b20909d49514ec06a5bae

Observation 2172cb39-e3fd-4082-92fe-f69d016aa4b8 · outbound

This paper cites A study on improving reasoning in language models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward A study on improving reasoning in language models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T19:21:58.911119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:48.009630Z digest=sha256:353caee41b73b5565d2048f0ebb4c2850f604e8e151ad4985ac2f618e771d287

Observation 7a321f6f-91a5-4939-941f-9e2ba330293d · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:21:58.763688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:48.157830Z digest=sha256:b0e05a764876ba9f80787fab93c3828ffff25d353adbb74cfd31bcebd0c7973e

Observation 0483276c-c5c6-45e5-aaea-68f445dbbb6d · outbound

This paper cites AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation

Reference 9

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no resolver link, observed 2026-08-05T19:21:48.285713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.285713Z digest=sha256:1bd835e4fcd6c2be952381ec932397bb531025cb565105636f8f7567058b5c5b

Observation e1dd471a-b01d-40ad-a2d8-8d91bced1411 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

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no resolver link, observed 2026-08-05T19:21:48.389694Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.389694Z digest=sha256:8716279cfd893bd77ffec38dcd12aeea59c49ab87d8ef2e8e53b94c4c94b9e77

Observation 36f96b2a-fd37-43d2-9bfb-092c19bd1c9d · outbound

This paper cites Gemini deep research.

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

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:21:58.267404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:48.487059Z digest=sha256:9296aec9d0fcfef8a58b7008c510649ccb4a2e1c5dbc03d01cce91fd3059e990

Observation 9c607dc3-2890-412e-839a-5767ebbdfc62 · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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no resolver link, observed 2026-08-05T19:21:48.586243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.586243Z digest=sha256:e734dcebd35849900b35ba56a685834be12f835305dbe7f57fc1e31f89d2f57c

Observation 85faf7e9-9e0a-445c-8e1b-d5c413aa8d4b · outbound

This paper cites Cognitive science as a source of forward and inverse models of human decisions for robotics and control.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Cognitive science as a source of forward and inverse models of human decisions for robotics and control

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:21:57.949882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:48.660273Z digest=sha256:b25bb6d76ebeaa989a2a5986ceb090c9ec88b985f53b8dd8f5473b24164b7001

Observation 98002a85-c5cf-4f65-ab05-e125803d4274 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 14

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no resolver link, observed 2026-08-05T19:21:48.746644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.746644Z digest=sha256:3c467acc69799b12efb17b02bc6127ba02245301516981d25d89595e8210d836

Observation 112e8053-e339-454c-9647-5a2f8c3d7a97 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Qwen2.5-Coder Technical Report

Reference 15

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no resolver link, observed 2026-08-05T19:21:48.848714Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.848714Z digest=sha256:c4e36102c25e7a6b2183d8ecd84bc97cbaba93a1b06e3a7623b305eb0a8b4cc0

Observation ddb3b6d9-e041-440e-be0c-6d0470451c78 · outbound

This paper cites GPT-4o System Card.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward GPT-4o System Card

Reference 16

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unresolved
no resolver link, observed 2026-08-05T19:21:48.941367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:48.941367Z digest=sha256:328db714c9764c6272c34113dba0182d17a4dc5ba98c1eee826f20c458001dfd

Observation 92f557fa-4ee7-484b-b692-478b52b46b9a · outbound

This paper cites Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 17

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no resolver link, observed 2026-08-05T19:21:49.054424Z

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source=arxiv_source observed=2026-08-05T19:21:49.054424Z digest=sha256:0f731cf98f67705764f449a76e34fb21e58a22ac71b0cde5b03480803ba051ae

Observation c9177225-0f0a-43ff-95f4-cb298f8dde9b · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 18

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no resolver link, observed 2026-08-05T19:21:49.154520Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:49.154520Z digest=sha256:6f45736123e2f0805f1971f012f5893d9348ea83533cf673538dfe134ee70211

Observation 03c6c9df-93fc-4b36-8035-4149bd5a3b4f · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 19

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no resolver link, observed 2026-08-05T19:21:49.203080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:49.203080Z digest=sha256:5021b1f4da793c53bbe46e43b4debc7176a0dbcfe4459c3ae2dd2db70bdd114d

Observation 784c54a8-1663-43b6-bcfc-13ab379219e2 · outbound

This paper cites SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs

Reference 20

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no resolver link, observed 2026-08-05T19:21:49.293464Z

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source=arxiv_source observed=2026-08-05T19:21:49.293464Z digest=sha256:9bd3862b50b6c880488e335041b166a978c409157adf21d1693165ca9321174c

Observation 3c9be5c2-3829-4921-b868-747c4c25ec88 · outbound

This paper cites Natural questions: a benchmark for question answering research.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Natural questions: a benchmark for question answering research

Reference 21

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no resolver link, observed 2026-08-05T19:21:49.421943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:49.421943Z digest=sha256:b460c9fb3a07dbc24159335e5cc84dbaf89fe09cbb6eaa7fcec5a15c6d7c4545

Observation 9d61b1ae-2225-4b31-96f2-9c326865fc19 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 22

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no resolver link, observed 2026-08-05T19:21:49.615643Z

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source=arxiv_source observed=2026-08-05T19:21:49.615643Z digest=sha256:7edfd7ab9fa345a2e543c166fade54eeaf1b00d5f44c83b44e36f990365bdbda

Observation 1f88812f-3e80-4ef7-a0d3-fc7bd0503157 · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 23

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no resolver link, observed 2026-08-05T19:21:49.726447Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:49.726447Z digest=sha256:904c875e77bed4d2f77118447475bac9a20489d36a8dca8d31bafd95c339a4c8

Observation 8d5830b6-2d55-48b3-94dd-2f561dbdeebb · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 24

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no resolver link, observed 2026-08-05T19:21:49.859556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:49.859556Z digest=sha256:fcd5dddfd9e387981d36adee19baca7daca2886830c968b498820524a3aad4a2

Observation eee21518-ddc5-4245-b1ec-45e5991ae968 · outbound

This paper cites Let's verify step by step.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Let's verify step by step

Reference 25

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no resolver link, observed 2026-08-05T19:21:50.002263Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:50.002263Z digest=sha256:082beda6747529177eea710cd91a9ceb6cd973f2447cb2586d67e28adc30b466

Observation 2b77e606-b5b3-4e9f-bcde-69e5787dbc4d · outbound

This paper cites Inference-time scaling for generalist reward modeling.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Inference-time scaling for generalist reward modeling

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T19:21:50.123185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:50.123185Z digest=sha256:fcacd40a36e673c1e35bce432d21cb670ac0fe67ee4b13426fa1c1c541b50449

Observation d3f1b242-bc2e-436c-a04a-64f84f89c7c1 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 27

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no resolver link, observed 2026-08-05T19:21:50.232267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:50.232267Z digest=sha256:f97f68ce2f27b5d98fd4e509eee498220d11cc3a7d5f763c123a373bda8e1e53

Observation 55ffaea0-ca24-437f-8066-0c11541957bc · outbound

This paper cites Learning to reason with llms.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Learning to reason with llms

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T19:21:57.706994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:50.347360Z digest=sha256:b077a2fa75eee366a6a0d646085ce7ea4bb8208d3cc668783cdac7eecba9c228

Observation e6c418e4-6216-4873-9243-a4e5f65ff3f8 · outbound

This paper cites Deep research system card.

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

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T19:21:57.465610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:50.456424Z digest=sha256:0664c047be025e823cf5675c1a81438f0886f65fc32d29216d2e5775754e1e4d

Observation 175d8edb-acda-4161-93a3-b6b19971e069 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Measuring and Narrowing the Compositionality Gap in Language Models

Reference 30

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no resolver link, observed 2026-08-05T19:21:50.623701Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:50.623701Z digest=sha256:154e1a500abab3f0a4b7935dbf2609b7df2c8f8461e7881ef9a51dc72f9b91a3

Observation a32608b8-1845-430f-b8b0-6d33fa8819dd · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 31

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source=arxiv_source observed=2026-08-05T19:21:50.831536Z digest=sha256:ae7a63fdd70e307ffe4b7396bbbd4d9d5a700ed109286a4b6e023dbfc2e5c284

Observation 25feea4e-ef4a-4a25-8a52-f51d5b3cfa64 · outbound

This paper cites Qwen2.5 Technical Report.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Qwen2.5 Technical Report

Reference 32

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source=arxiv_source observed=2026-08-05T19:21:50.991898Z digest=sha256:fb492ca331ef9bc9c5f7facca42fca20274721f23e528037b7eda8d4b38a2b8f

Observation 6d0e642c-65ef-4fa6-aa38-a904b840f769 · outbound

This paper cites System for systematic literature review using multiple ai agents: Concept and an empirical evaluation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward System for systematic literature review using multiple ai agents: Concept and an empirical evaluation

Reference 33

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no resolver link, observed 2026-08-05T19:21:51.143776Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:51.143776Z digest=sha256:a158d70fdac857d91e824aa7aadb26395f9917e20d0d508229f22cade193d33d

Observation 35c0b016-e44c-432b-a430-5d4c79139384 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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no resolver link, observed 2026-08-05T19:21:51.293509Z

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source=arxiv_source observed=2026-08-05T19:21:51.293509Z digest=sha256:58453f4ee025ad6f30b0877abf2b0dd099b69430edc2b91dc705bcf58ced8159

Observation 7ebcb058-e296-49ea-a026-666a03a6f137 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward HybridFlow: A Flexible and Efficient RLHF Framework

Reference 35

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no resolver link, observed 2026-08-05T19:21:51.523214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:51.523214Z digest=sha256:989cfe8fac9f7982b25d8fdca175ea4d8ac63979568a23cd612b522e614a0c93

Observation 78fde7ee-5dce-4501-abfd-e7526feb0818 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 36

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source=arxiv_source observed=2026-08-05T19:21:51.690449Z digest=sha256:7c700cdc63701107c4fee567d3ab63cac21be8f64cca5dff194b28830b6cfe99

Observation 72b01f29-fa08-4f8d-ae7f-ce390b0cd964 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 37

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source=arxiv_source observed=2026-08-05T19:21:51.824778Z digest=sha256:ccaf8aef3ade983d937268d70bab70eb3661bbd4bd9959489df7c1f5f7aeb63c

Observation 5692054c-d302-4e84-8f30-0d9243d69d33 · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 38

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source=arxiv_source observed=2026-08-05T19:21:51.981162Z digest=sha256:eda5f622a361bf398cdc46329a6c8c466d6754ff94167f5c0a5539895b46270d

Observation 2d925dd3-e641-4169-b1ca-a8ffe0c3afae · outbound

This paper cites Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Reference 39

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source=arxiv_source observed=2026-08-05T19:21:52.122579Z digest=sha256:acf9e06470906a7ea7a71e477c00c61ffe7c7f84362bc9dcfad28266f57dc244

Observation f716f628-5cd9-4297-9902-194db5bb024b · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 40

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source=arxiv_source observed=2026-08-05T19:21:52.228538Z digest=sha256:0857ed5a8f5e04070713f0166a4d94db046f45d2d2ca5b639df8fd0b9a382dd6

Observation 9d863656-52ea-4be6-81c8-c08be022c42b · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 41

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source=arxiv_source observed=2026-08-05T19:21:52.360931Z digest=sha256:a18ab8b79bba0c1845e32924e02d788c2f5f42379307f5906585cc8b7828c80a

Observation 65362779-d245-406b-b729-8de8ac21d242 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Musique: Multihop questions via single-hop question composition

Reference 42

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no resolver link, observed 2026-08-05T19:21:52.513430Z

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source=arxiv_source observed=2026-08-05T19:21:52.513430Z digest=sha256:0808abdce7e157a0d0697defc57a292b6fc9e182ad13a46124d45a4247b64643

Observation 768b6eeb-9c50-4e21-a69c-3f3b56cb2917 · outbound

This paper cites Plan rag: Efficient test-time planning for retrieval augmented generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Plan rag: Efficient test-time planning for retrieval augmented generation

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-05T19:21:57.201130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:52.629275Z digest=sha256:fc6051de92b8886e468accf5c414dae58ccb106a65fc4d1714621eb5161b1a20

Observation f2d7f1d8-b441-448f-8e96-c04f128b28e5 · outbound

This paper cites OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain

Reference 44

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no resolver link, observed 2026-08-05T19:21:52.744241Z

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source=arxiv_source observed=2026-08-05T19:21:52.744241Z digest=sha256:5ce60547fb185609ddd8147e57ae16eba2964fc3d789cc74b74333d1c6180a63

Observation 0d0cec41-34fa-4827-bfb2-0050c65f8c5f · outbound

This paper cites Searching for Best Practices in Retrieval-Augmented Generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Searching for Best Practices in Retrieval-Augmented Generation

Reference 45

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no resolver link, observed 2026-08-05T19:21:52.811377Z

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source=arxiv_source observed=2026-08-05T19:21:52.811377Z digest=sha256:00d68bc230babcacf6f3e8639830b474a2b5bf3155b80b0a00677aa271967856

Observation 166b5af2-a50c-482a-8e83-1fc34ce161f4 · outbound

This paper cites Corag: A cost-constrained retrieval optimization system for retrieval-augmented generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Corag: A cost-constrained retrieval optimization system for retrieval-augmented generation

Reference 46

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source=arxiv_source observed=2026-08-05T19:21:52.891187Z digest=sha256:d5aca1ed09323a7a4be5e4871b13654f7d2bd7d188cdaf8452c1648e35787afa

Observation e654bb11-ca46-49bb-8dfa-c5c5fd3408f3 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Chain-of-thought prompting elicits reasoning in large language models

Reference 47

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source=arxiv_source observed=2026-08-05T19:21:52.978276Z digest=sha256:289211455d5b943b42f64f01cd618192f7f3bb55419d975a0fe20febcdb5f792

Observation a7dd4e18-35d1-4422-a383-b6ed3edf3f0e · outbound

This paper cites Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning

Reference 48

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source=arxiv_source observed=2026-08-05T19:21:53.047324Z digest=sha256:113025656c4b93afa73a92ca5506b5ec76e88e38136d183e1947cbc7f8cc4ccc

Observation dab49a62-1452-4f30-89aa-0738d1894d0d · outbound

This paper cites Qwen3 Technical Report.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Qwen3 Technical Report

Reference 49

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no resolver link, observed 2026-08-05T19:21:53.110296Z

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source=arxiv_source observed=2026-08-05T19:21:53.110296Z digest=sha256:7b3b8d7198ab83ed23b2a7e09afc6bc1cf5e447e0d2a41bc067f21b529d0bcb5

Observation 7abb8a48-aefd-4950-80c3-ff23859cb47d · outbound

This paper cites an unresolved cited work.

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

Reference 50

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raw_fallback, observed 2026-08-05T19:21:56.929715Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:53.173232Z digest=sha256:491167fcf723eba7cb166483d345cce075b81cdeef77aec293b86e4bb8ee1cb1

Observation 3892ad52-9c00-4614-aed1-54daa6abc482 · outbound

This paper cites an unresolved cited work.

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

Reference 51

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:53.261550Z digest=sha256:4e689b649f7461b80fdc29ecced3c0846ed552726d0e8afe6f1af6331691b241

Observation 390e4ced-ebaf-4954-b2e6-f4f20c83d341 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 52

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source=arxiv_source observed=2026-08-05T19:21:53.401340Z digest=sha256:545edf1853d01a46ba0f566f636003379b1424cf17b1d734afee10f79835fb5f

Observation 4d972cca-eef7-471f-88fd-12c56561639e · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Tree of thoughts: Deliberate problem solving with large language models

Reference 53

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source=arxiv_source observed=2026-08-05T19:21:53.503697Z digest=sha256:cba9c33362613e32ca1106aa2bb9a498fa49fe7a905279a36ad33b10ffb0e576

Observation 873c207b-33ca-4905-b8a3-35a4083b208c · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 54

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no resolver link, observed 2026-08-05T19:21:53.615302Z

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source=arxiv_source observed=2026-08-05T19:21:53.615302Z digest=sha256:fd2a9ede1e066b6d111c1230a077a1302b9ba93a74aeb96d5c3436f42e7a76eb

Observation 4bc297b9-74a3-4b07-ad18-1b42e1e0f9b4 · outbound

This paper cites Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 55

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source=arxiv_source observed=2026-08-05T19:21:53.747429Z digest=sha256:c39fc321f0bb4b28fa7f405720da49297fa8199a361939ebc379af5fa5e55d13

Observation e67ce37b-8380-4bf3-9b15-17d74ea544d0 · outbound

This paper cites Inference Scaling for Long-Context Retrieval Augmented Generation.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Inference Scaling for Long-Context Retrieval Augmented Generation

Reference 56

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source=arxiv_source observed=2026-08-05T19:21:53.941005Z digest=sha256:db8ed2994f7d53e7817aeda1b179f272ec1280d3dee7b84d25724dd62568b986

Observation 4d497f33-5882-4898-a173-b1973938d212 · outbound

This paper cites When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Reference 57

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no resolver link, observed 2026-08-05T19:21:54.052630Z

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source=arxiv_source observed=2026-08-05T19:21:54.052630Z digest=sha256:379bf8eafc49d0c9d74f243b8ee9125d157c5e84ede2190fe0b71913e95f5039

Observation 07d7bd56-301c-4e0d-9ff1-980d873dad19 · outbound

This paper cites OpenResearcher: Unleashing AI for Accelerated Scientific Research.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward OpenResearcher: Unleashing AI for Accelerated Scientific Research

Reference 58

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local_arxiv, observed 2026-08-05T19:21:54.595000Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T19:21:54.188386Z digest=sha256:1bbf69ba43c12e6cb02fd794f520c6aa86ba5cf166cb8f33abdc4c50db7c6ef6

Observation 5463380c-bd0c-4b42-b150-c3c2f87d9d28 · outbound

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

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 59

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source=arxiv_source observed=2026-08-05T19:21:54.298586Z digest=sha256:f2b140b0738470a2d64d9d11f8785f07246c9d263e5e0fcacf717aabecc2c865

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

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arxiv_id, observed 2026-05-18T19:21:48.498303Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:752d1411193929679a57f4f97c82ca64fb6403fb03c5400cb4a2b39a03d3a35f

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

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arxiv_id, observed 2026-05-18T00:02:25.259949Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:4458eab968c6b652344132b95834a71329b87f996cd2cf2538be9e1d51589950

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

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arxiv_id, observed 2026-05-10T06:46:37.202649Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T06:45:08.361225Z digest=sha256:8fd3cc175339601e3e4526227fdc4e36e54ff0d616003718105011c87f625f23

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T07:58:55.548382Z digest=sha256:84b442397e9ecb3c81ff30b14e4d93235b85e077be5d8d65e4e2c487aeff2c4d

Observation 704ed2fd-5a76-4c07-a4d7-77e5b84677f0 · inbound

Contextual Information Policy Optimization for Search Agents cites this paper.

Contextual Information Policy Optimization for Search Agents Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 89

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source=arxiv_source observed=2026-08-07T14:27:44.377831Z digest=sha256:647f2dc89b9a110489615884d6d5b59de13fd515c81928abce1311e3f2e696bb

Observation 343e8d07-f798-4292-a473-2199a7328171 · inbound

Contextual Information Policy Optimization for Search Agents cites this paper.

Contextual Information Policy Optimization for Search Agents Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 89

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source=arxiv_source observed=2026-08-12T00:54:15.544781Z digest=sha256:6e018720bd2059932521be92578a9f75bb2d318c200ae949fef0b9740c5ef12d

Observation 267c2edd-0536-43d5-abcb-1d548312f3af · inbound

Multi-Branch Policy Optimization for Multimodal Large Language Models cites this paper.

Multi-Branch Policy Optimization for Multimodal Large Language Models Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward

Reference 8

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source=pdf_text observed=2026-08-11T00:36:00.994456Z digest=sha256:c7bcdf83e3e3bd4b3d8685beb9060a6585d9355a9af31279646c594940d0e42f