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Paper Citation Record · LEDGER

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 27 inbound Pith citation observations for arXiv:2502.01142.

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

pith.paper-citation-record.v1
2502.01142 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:31:17.775648Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:43.000838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.456333Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54b81a51-fe3a-40f6-8134-6c5cbcf2a2ca · outbound

This paper cites online" 'onlinestring :=.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.492687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.492687Z digest=sha256:45c3df8ddf0a9f143447b4ff6d015e90bfd2eaffe91e42e91aae6e4d3d1f56e7

Observation 1c0deef1-0d24-4d24-95dc-fba1cb3e97fb · outbound

This paper cites write newline.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.499225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.499225Z digest=sha256:ab41ec9e36b0046e087891b3d93e27f167c476a0829cf7d1eed3715cd4c7c2de

Observation 3209d9c8-23b4-4d43-947f-55df09e1a46f · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.505735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.505735Z digest=sha256:dc432c382d143ccc5c5f18deabdc59910c182bf039758d20da9df715c202ecba

Observation ccb4a56e-ec02-4f12-8987-4fa9abb7cefb · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.513911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.513911Z digest=sha256:7296d080c00d0bc4487d406f60838c6e5c08c856aac90427aa83eead77cfe230

Observation 5dad2c7c-c4a9-450f-ad86-31030d34b7c6 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.520643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.520643Z digest=sha256:54434c8a65d299b28b05286decbd4cb5447e94878805b5a6ae33eb7bec23e4d9

Observation a9fbc307-0a2a-45ad-a044-d21c2ecb5581 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.526693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.526693Z digest=sha256:5081c92037ee96e39f2e66b83998948965e3554bac39d3f1fe073c00d3b1b88f

Observation 7086fe53-3e0d-4e01-85ae-644292d95759 · outbound

This paper cites Unified Active Retrieval for Retrieval Augmented Generation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unified Active Retrieval for Retrieval Augmented Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.532447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.532447Z digest=sha256:f868569fca971cf4806a7684478c918d1294804555dcb013b9a0860c347e5fa6

Observation e072968b-ffcd-4c86-a3bf-14728ab46e7c · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:31:18.844051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.538685Z digest=sha256:ef2c34899fe450d9d05558bbb485fadece4ed39cc58237191a7bb85c680c2e88

Observation b19c0d84-dc84-419f-93bb-eed25a7f9996 · outbound

This paper cites To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.545870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.545870Z digest=sha256:4c007a3b4d4094251720c6d7bbf29edf29216a2339348fa5c57ced89a0455f94

Observation a923109f-b4c3-4a99-8d31-e5715519bbd9 · outbound

This paper cites The Llama 3 Herd of Models.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models The Llama 3 Herd of Models

Reference 10

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unresolved
no resolver link, observed 2026-08-09T16:31:17.551360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.551360Z digest=sha256:a438c5f261de5be55d6fc7d1b7c77455e4eb9192f740bdd23841c8234bca4930

Observation 213c0c56-12cd-4be0-8275-8fa0dfc45d92 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.557175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.557175Z digest=sha256:95010aa9a3c8b676571a7d5cbde2d83b6b0d264801dfafb68f3e10f574789764

Observation 01403b39-1a6b-405a-ae19-96f174ac6398 · outbound

This paper cites SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.563580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.563580Z digest=sha256:4d44e083249b9a267c39feccd1bcdbea3f3caa8b2cc3f9feb6be3082c2b5c9a3

Observation b451d5cf-4ae8-468a-95c0-173a8ac652cf · outbound

This paper cites Synergizing RAG and Reasoning: A Systematic Review.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Synergizing RAG and Reasoning: A Systematic Review

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.569436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.569436Z digest=sha256:ee4b56c42beb0e6943ed145865d50c99e9ef456d0b14512b4743965ffd6f4521

Observation 395e5410-2fb6-4021-b281-fbcc8fe6084a · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:31:18.828400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.574642Z digest=sha256:bb07f32688e6f1b49ed94e98cac10b59519f6315e1b38703d0481b543e2a9b74

Observation a3ae993b-45ac-47a0-a549-b5980a09e54a · outbound

This paper cites Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.579414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.579414Z digest=sha256:a0c871a9f4bd92222de68f8f75d264bd72867aafeb7a445a9190cc8ab7f0b320

Observation 0f9d0897-2c19-4e90-bfd8-463ce7de7bc3 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.584857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.584857Z digest=sha256:afb2cfa1125a1beb89f18f37aa4eb743c86b8acfd2c68385c463a4b4f7d99df5

Observation 31cd327a-94c6-4090-b93a-dea9af5761ae · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.590519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.590519Z digest=sha256:4a6cde4b6e33eef5dc0723f3778123b52aa42e359cb9942431a4038a0b948da4

Observation fccaa8af-02a9-4053-9a5e-83bdb236d922 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:31:18.812445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.595884Z digest=sha256:ae80d20693c122f4bd77315edc0b9df705074e934679ce471317cded4a2841f8

Observation 0af26504-279d-408d-b94a-42050cce678d · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.600939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.600939Z digest=sha256:330b8dc09c3aee6f25988935773f4fbdb3eb3192d9b71e931e71c8ce169b59e2

Observation 2a8a5f8d-7817-4974-8193-3823e7c71bc1 · outbound

This paper cites Active Retrieval Augmented Generation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Active Retrieval Augmented Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.606337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.606337Z digest=sha256:0006db5ff606a8fb4450a38be413a852d97c30934d754db686150138296bf683

Observation 26e882c8-9151-4b12-92d3-014a7d7f770b · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.611424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.611424Z digest=sha256:cce874a7c2e13f179677d61e7e71ad05fed82e60e041d51daef8bff4b0dd715f

Observation b705781b-a936-4aaa-86d1-f6e02ce8f128 · outbound

This paper cites Large Language Models Must Be Taught to Know What They Don't Know.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Large Language Models Must Be Taught to Know What They Don't Know

Reference 22

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unresolved
no resolver link, observed 2026-08-09T16:31:17.616435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.616435Z digest=sha256:221cb8683ae2b026bff7f9e76b115ab7005eaef979866aacd986aa4cd2e00b20

Observation c38edf33-1938-472f-9efb-e6f3e608bae3 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:31:18.796576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.621649Z digest=sha256:3890b7624731e491a3edb9d84adea9f1126a26753802494efbd5e3d8c21f7220

Observation 4ab6a148-197e-49b8-b06e-361fde8935d0 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.626423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.626423Z digest=sha256:3b5b2589e75df50b6cba121b80b207b505bbddef3d00c997fecad0814d2dea9b

Observation a031d7ea-8d7d-4aba-b5f7-4741d1b3ae63 · outbound

This paper cites Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.631468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.631468Z digest=sha256:8da5c16c5b9edf40ca41f1782352ea94a1a87fa6e4d70f133323e8cd59968430

Observation 3b6b0564-be1c-4307-a29e-9261ef9b5d77 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.636869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.636869Z digest=sha256:1ba7768e00e32fe82bd0d8367946dc1eaa27e6c879978a9dd6df246f6c8f53ae

Observation 11a89508-5fe3-4f7d-995c-c36caf23edd6 · outbound

This paper cites Hello gpt-4o.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Hello gpt-4o

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:31:18.780954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.642193Z digest=sha256:9322de22d96907df91e7ece5364b561f124183b979fb0e96c6442c2e1a12fe9e

Observation 94119ba0-4752-43ab-be74-cd771a8c30c2 · outbound

This paper cites Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.646997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.646997Z digest=sha256:e18b781a3accaa1f3a05fff63132f46ccbdd40255b0ed42462892c2838bd0485

Observation c6968c81-9f1f-4c49-a905-9bea4731a69d · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.652117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.652117Z digest=sha256:5072b6f8492c268c3b02426534de81c6937fcea0efa14322e13e9d86baa8b782

Observation 170b8d07-d7e4-460f-819c-4c40e02e3a72 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.657132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.657132Z digest=sha256:59e293fec80ceb987846f36f4ad0d3b57e4f580e881a1c0ab3ed51ec2863497e

Observation 653a51fb-2c82-49e2-8765-1d29b43d5b5e · outbound

This paper cites Question Decomposition Improves the Faithfulness of Model-Generated Reasoning.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.661966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.661966Z digest=sha256:76fe4f7934a6cdf1161840a8b05a1f5bd56b8797b966548e489eac64f5540164

Observation 230cacf5-5246-47ab-bc9d-b11d5e832cce · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.667061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.667061Z digest=sha256:af770f735f7ae29aa3e7979fc6bd84cb89c3fc22ba8a5f431330136a5f5b0ea2

Observation f18745ff-324e-44ba-94da-9bbe774caf9d · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 33

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unresolved
no resolver link, observed 2026-08-09T16:31:17.672448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.672448Z digest=sha256:756889ef17bda31d27b43fad9e08611d05db8ec7cdcbc822743ea6bbb2b5eb54

Observation f5c01fc8-6a90-49a9-b8e6-f8de333e6d7a · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.679299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.679299Z digest=sha256:5208d7db17b0c68b6012bba8a58617b83bb4a374707ac647a85222c752d65cd1

Observation 34e5582e-27bd-4536-b639-f0e3a27c8663 · outbound

This paper cites Sutton and Andrew G.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Sutton and Andrew G

Reference 35

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unresolved
no resolver link, observed 2026-08-09T16:31:17.684426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.684426Z digest=sha256:008a2cdb4b4795ba33d4d1f4751e5a22313c368d6a0b2994a5b981ca9ef77c82

Observation 9715d8f7-0362-49dd-9924-e8002c1b975d · outbound

This paper cites Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:31:18.153276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.689547Z digest=sha256:898c06e5644a9fd0445483b0709ce74ee01ecc210ec571ddccda2bdf58c03def

Observation bf9b3e7e-468f-4e7d-bf6f-b9b352c1af95 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-09T16:31:17.694991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.694991Z digest=sha256:4d5c3a2b25242019534c147d1c9911fe35b295e63af0e29ef67a322bd04b9dc0

Observation 9f983ae7-f0f3-465a-b8d0-b1e8c716dece · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 38

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unresolved
raw_fallback, observed 2026-08-09T16:31:18.752464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.699753Z digest=sha256:2ad35d32f38ecdc1c85839264249f2abf50fef8c7d4cf49d2caf1e849fd5f5a0

Observation ba8ee53e-6604-46c9-9541-4ffeae0c6854 · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-09T16:31:17.704878Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.704878Z digest=sha256:b7aa9b855e5faed88e7740a31878ad3db39500f4c92a16c4603c7846bc08d0e7

Observation 2362b823-65c5-4f92-8b2c-5486905c841d · outbound

This paper cites an unresolved cited work.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-09T16:31:17.709801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.709801Z digest=sha256:9ed4b85a3fdcbe79fe06dd8072a5c72024a15f8a92a5663bb8bb61df6797d958

Observation f37531f3-90eb-41e2-8221-d4cffac59d4e · outbound

This paper cites On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation

Reference 41

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verified exact
local_arxiv, observed 2026-08-09T16:31:18.027454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T16:31:17.714524Z digest=sha256:c8bc8ec69d04166f5c5b35f65952a3de2155bcced15ef17af4171201e3aa892a

Observation 3d564ee0-bfba-4f05-8291-494fa1280fcc · outbound

This paper cites Divide-or-Conquer? Which Part Should You Distill Your LLM?.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Divide-or-Conquer? Which Part Should You Distill Your LLM?

Reference 42

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no resolver link, observed 2026-08-09T16:31:17.719672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.719672Z digest=sha256:ffaf5ca72944e312d3d70f4be626a056349d24c59734f6798aa702c97bb6483e

Observation f5f4c840-3f64-477a-909f-2eee6fa9c154 · outbound

This paper cites Qwen2 Technical Report.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Qwen2 Technical Report

Reference 43

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no resolver link, observed 2026-08-09T16:31:17.725786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.725786Z digest=sha256:1ff21850bb645e2029b53d0761d8677519e414b64cc2ec6c52a1be56b460ac44

Observation 3ddb0637-18a7-44cb-bddd-e7501ef228d9 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 44

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no resolver link, observed 2026-08-09T16:31:17.731988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.731988Z digest=sha256:00bdbb4d3b4fb1f66af8d11329217bc37177f530063a31676deebca871cfd3b3

Observation c7eef821-329f-470b-81e7-932c3f3c5410 · outbound

This paper cites Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

Reference 45

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unresolved
no resolver link, observed 2026-08-09T16:31:17.738170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.738170Z digest=sha256:3096ce33902f1c2c5ab6d314ae426e1c84b41fa5bbd2f4c1b6dec42f6ce4e7f5

Observation c8680155-8bbe-45da-a967-bbbee10f2433 · outbound

This paper cites Do Large Language Models Know What They Don't Know?.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Do Large Language Models Know What They Don't Know?

Reference 46

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unresolved
no resolver link, observed 2026-08-09T16:31:17.743961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.743961Z digest=sha256:b958d361362cf987999d83c02b7c6541941c5fd0158f1520076e438b280427ea

Observation aa5e0938-dd6c-45a8-a230-2f494a9270dc · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 47

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unresolved
no resolver link, observed 2026-08-09T16:31:17.749238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.749238Z digest=sha256:62448128b4c715747e3442d8da704ea3325565a58f6730a2cd412f60d04f9402

Observation 43719403-031d-45a7-b483-16f867465c6e · outbound

This paper cites Generate rather than Retrieve: Large Language Models are Strong Context Generators.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Generate rather than Retrieve: Large Language Models are Strong Context Generators

Reference 48

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unresolved
no resolver link, observed 2026-08-09T16:31:17.754529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.754529Z digest=sha256:d3dc80fbf20375132731d1acfefce60c0aeffea0ec6204c728e222110f3306dd

Observation 2e2140c2-24cd-4e71-bb0b-31c746a7fb05 · outbound

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

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Inference Scaling for Long-Context Retrieval Augmented Generation

Reference 49

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no resolver link, observed 2026-08-09T16:31:17.759589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.759589Z digest=sha256:d0a49567647e99c06e5d04af8850b779f9c8f8c2829f00fda159f8a0b5867cb1

Observation 437cdbe8-7455-4c3c-9637-06e4cab89b3c · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 50

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no resolver link, observed 2026-08-09T16:31:17.764914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.764914Z digest=sha256:035f97cdf55dee4ca7c2efa33bf92198c7b24d813f325f0135d2b51ef88725b0

Observation 658fd13d-ca17-40e1-85c0-bf3628f18c8f · outbound

This paper cites RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.770243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.770243Z digest=sha256:eb26f63675ce1ff484c115d7940d0d12394cd0926fbc78e40a312336ffab840e

Observation 51ebbe14-1e1b-4a18-809c-53083426f016 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.775648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.775648Z digest=sha256:4219e67e673c9c086b6079eb0ce89d62d72bec9c404dabb397f49c624262bc62

Pith citing papers

Observation 1295c007-6495-4f2d-893d-2a0924a6d8ec · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 225

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verified exact
arxiv_id, observed 2026-05-12T08:40:41.410781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:01d7d0aab7e0003e2f39de02c76253e6f3a1056680fdfa288a94c39532192657

Observation 22455c76-da20-44c0-a834-ce83a29c7375 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 49

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verified exact
arxiv_id, observed 2026-05-22T21:52:10.399187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:dd038fded450fc1773bf78913f6bcd82101c02f60aca1d817446c56247cf1cd3

Observation 1e70bbc7-e12c-4794-94b6-4ead1a44533c · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 98

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no resolver link, observed 2026-08-16T12:02:43.000838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:02:43.000838Z digest=sha256:a2bb8fc9f73c01e6611f850dfe4dff8b389220a1783e98e40127680aad0eedd9

Observation 980f5dc9-254e-4e75-b4c2-6801b669df7c · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 29

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no resolver link, observed 2026-08-16T11:18:44.059426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:18:44.059426Z digest=sha256:a822809286adac4e84951fb9ebbb2c7b027cea0b8a5a4ffa3d0bf8332984e3c3

Observation 12b54e85-5087-4d44-b304-8f929cd84694 · inbound

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

WebThinker: Empowering Large Reasoning Models with Deep Research Capability DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:14:25.361448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T19:14:25.283645Z digest=sha256:349907e8bbc127210709555bbf3afec38f95a7a481c7b0bc8329944c5cb27527

Observation 27081101-bfd4-4586-b35e-e71488be15ce · inbound

ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning cites this paper.

ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 6

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unresolved
no resolver link, observed 2026-08-15T20:28:19.869811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:28:19.869811Z digest=sha256:d8a3e9d4660f30ddf99efa2e9297830b439a9ecd8066f37090a94ed084faaac9

Observation 1ce4ef23-5c31-46d0-9eca-a6e5e9b5247a · inbound

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems cites this paper.

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:05:59.548315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:59.548315Z digest=sha256:9f2e97021ed608db391f80d3960b4f70ddddfdd994c81f697219628932672d5a

Observation a5c7c2a5-0f11-421b-b26a-588349e60602 · inbound

Towards Better Instruction Following Retrieval Models cites this paper.

Towards Better Instruction Following Retrieval Models DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-07T13:35:47.882950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:35:47.882950Z digest=sha256:b3b9e8b7ceb883ac4abeefca641ec2ad76fc378b993deece42daaa2c0f05db7b

Observation 64e117f7-de1e-43be-9a64-ddbc6da2c2b6 · inbound

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:52:20.018274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T13:50:30.090068Z digest=sha256:03b81da5b0528605e70e04da9cd65be68955ab2930fdd78c7fa086f0ee4d5d6d

Observation 379e493a-c579-4d81-9e29-ba72c45e6e3e · inbound

Inter-Passage Verification for Multi-evidence Multi-answer QA cites this paper.

Inter-Passage Verification for Multi-evidence Multi-answer QA DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 2023

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no resolver link, observed 2026-08-07T12:10:20.631559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:20.631559Z digest=sha256:3e8e3c5ab19a09eeaf34bb3fa595f8c16cd12e1e2285179289ec857a3b76083b

Observation aefe27e4-2382-442a-85b2-ee35c1f8f2b1 · inbound

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning cites this paper.

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 9

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no resolver link, observed 2026-08-07T10:54:30.319046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:30.319046Z digest=sha256:365df72275d6bd191f2760d07b796fdbbc962a9ab8406535fe5c7a204100eba9

Observation 9177bda6-30e0-4206-bffd-e1633ed25853 · inbound

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification cites this paper.

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 5

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unresolved
no resolver link, observed 2026-08-07T05:37:29.254224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:37:29.254224Z digest=sha256:a50785ea1e5ebdaca02fc6ae7c9b5d9110f23ea852d1e7217d8df8a129d3ed85

Observation 7a06da74-9d03-40d8-b9cf-ea996624ae41 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 36

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no resolver link, observed 2026-08-06T23:26:56.637110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.637110Z digest=sha256:9ce572a224eb52a8856d837b08f35119c86dc677a0f2777bce7d0effb391fd88

Observation 90fe66fa-d409-4946-9453-e074136dbec2 · inbound

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation cites this paper.

HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T09:31:11.978340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T09:27:17.760078Z digest=sha256:0f72a34c67b307650632e5b4419f7ecdb3967b1ed7a098177368d453208bb8e9

Observation 1c08c2be-943b-4112-b284-37d27b523bbb · inbound

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling cites this paper.

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 9

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no resolver link, observed 2026-08-03T13:34:30.872861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:34:30.872861Z digest=sha256:72036f013f63b3ef212ca5956ce66ca811cfca429e0f63f49bfb11d0db6f9c4f

Observation b633bd12-d9e6-494e-9819-fd975d743ff1 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 257

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verified exact
arxiv_id, observed 2026-05-17T15:14:26.359702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:8197777e064aca9f6c765a048b5b41db143561dda097663fdfd8387c345a6190

Observation 9aaa5580-a00e-4da4-9507-541ad90ce0bc · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 8

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unresolved
no resolver link, observed 2026-07-13T13:59:01.287449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T13:59:01.287449Z digest=sha256:44e7518dddbe40d3ca35ef74bcbb40c4ae5725e3641b8aed7c1b10459606c9b0

Observation 7e2d0acf-a8c6-46aa-897b-ddab429105cb · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:13:00.945081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T17:12:38.618233Z digest=sha256:a221b41e415ab1f6ac9e4cb4888ee372f768680f300f8eb3eaf4f5164064126d

Observation c5dcb331-c2af-4359-b07e-ef1af40d2c0a · inbound

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation cites this paper.

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 22

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no resolver link, observed 2026-07-14T19:54:25.294067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:25.294067Z digest=sha256:910047cf7e5af58107438efc4fdd2fdce2895bb82a766e03849dafec576788ee

Observation 879f4645-ac09-415d-bd1f-bdde08b4a182 · 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 DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:52.084169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T19:41:00.530274Z digest=sha256:0affd3ef0454c5de7fee7666c277edccc4d6fdb8bad43f98a69fc9b691bb3a64

Observation 505f9060-99fe-4caf-9c46-a3d6708bb323 · inbound

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation cites this paper.

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-10T02:48:27.388550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T02:45:59.473429Z digest=sha256:93c383ef3222ecb104308cadf50bcbb209320504c88a483de576c1bf1eac32cb

Observation 5457d51f-2c34-424f-8eca-c437fb2a6544 · inbound

MiA-Signature: Approximating Global Activation for Long-Context Understanding cites this paper.

MiA-Signature: Approximating Global Activation for Long-Context Understanding DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:06:08.996618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T10:19:56.836305Z digest=sha256:1c02f139e3975bd87d7c2f4110171a2661696ff9de5878c75edb7e9024b175be

Observation 4944b992-d65d-49ba-9da5-eaccbc79a540 · inbound

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning cites this paper.

DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:17:15.156968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T22:04:37.766752Z digest=sha256:fe94e7043077dc4737b529c97dcee8061daf7193caf8b6a0e230de019f5743de

Observation 64aec893-a9a5-4aa7-a4e0-6571eef324f8 · 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 DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.458240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:a7f2e4cb0b053d735a75f3de0255db9778ddf52782bc5a04fc5a708031fb8dc3

Observation 71bee03b-6fbb-4f4c-87e9-b90798b5c832 · 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 DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-01T13:54:23.027434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:23.027434Z digest=sha256:48422879602337baad4c630e4f7305f0f8d1eb103b1b039447c4ebc9f8252316

Observation a09846f1-9385-43e4-9eb6-7e153ec07bd4 · inbound

PROGRESS: Coverage-guided RL to Train Search-augmented LLM Agent cites this paper.

PROGRESS: Coverage-guided RL to Train Search-augmented LLM Agent DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:37:24.065196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:37:24.065196Z digest=sha256:7b43f485d078d7c5832676b623b326d94d5aaa048aef2ae34940f7122d35483f

Observation 1de2e671-8044-4ef8-a932-c0bc50991fb7 · inbound

Search-GRT: Guided Retrieval Training of Search Agents to Optimize for Complex Question Answering cites this paper.

Search-GRT: Guided Retrieval Training of Search Agents to Optimize for Complex Question Answering DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T15:18:31.628021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:18:31.628021Z digest=sha256:357ab1fdf7fec19c131b587d38d3c5cb03354a9d03febf1537f76681eb810868