Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T10:30:36.330305Z
Paper Citation Record · LEDGER
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
As of 25 July 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.06326.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact36
- verified fuzzy11
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3ef03ec5-cd0a-472c-b3d4-15c318cbb99d · outbound
This paper cites BeyondAIME: Advancing math reasoning evaluation beyond high school olympiads.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning BeyondAIME: Advancing math reasoning evaluation beyond high school olympiads
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.167324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation f4cbaaf8-da1c-4173-a86e-dcdbedf03e89 · outbound
This paper cites P1: Mastering physics olympiads with reinforcement learning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning P1: Mastering physics olympiads with reinforcement learning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.717879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 67fb01e9-8d0f-45f0-ad67-f3bfa652af0a · outbound
This paper cites Process Reinforcement through Implicit Rewards.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Process Reinforcement through Implicit Rewards
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:23:31.624298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation bd7eadbb-522a-47cb-b3d0-6f7b98313927 · outbound
This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T12:31:34.026635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation addafae5-b38a-4918-8ccf-59b87b3f5d50 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.671349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 6bf56622-afd6-4249-b357-0bc8fce0c485 · outbound
This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.681347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation c09e257d-6e09-4d8b-8104-da74c0ddfd66 · outbound
This paper cites Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.694352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation deeb0325-6557-42bb-bfa2-1fb6be05e984 · outbound
This paper cites Agentic Reinforced Policy Optimization.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Agentic Reinforced Policy Optimization
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:57:12.173630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation a69e4bd6-50cc-422e-8cbb-408aac6acebc · outbound
This paper cites Nemotron-math: Efficient long-context distillation of mathematical reasoning from multi-mode supervision.arXiv preprint arXiv:2512.15489.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Nemotron-math: Efficient long-context distillation of mathematical reasoning from multi-mode supervision.arXiv preprint arXiv:2512.15489
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.727023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 9e27cc99-8019-4afb-a1aa-1442fc386e44 · outbound
This paper cites Generalizable end-to-end tool-use rl with synthetic codegym.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Generalizable end-to-end tool-use rl with synthetic codegym
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.412358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 47f04c2c-54a3-451b-b63d-9c54ae7f12ab · outbound
This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:42:39.160125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation b67904ab-5b14-4bc8-b94a-f2d9a2c6250b · outbound
This paper cites PAL: Program-aided language models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning PAL: Program-aided language models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.191811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 7a9f3bcb-93c7-47fb-a226-7979eba5bdbc · outbound
This paper cites How to train long-context language models (effectively).
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning How to train long-context language models (effectively)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.179443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation a5868a2b-3cef-43a7-9d09-44a1e6dc2379 · outbound
This paper cites OpenThoughts: Data Recipes for Reasoning Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning OpenThoughts: Data Recipes for Reasoning Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T04:57:51.597669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation bf9f07b5-ad62-4ef4-b28f-3ab3d68faa9c · outbound
This paper cites Justrl: Scaling a 1.5 b llm with a simple rl recipe.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Justrl: Scaling a 1.5 b llm with a simple rl recipe
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.562408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation c4b90e7e-64c0-40fa-a396-315544f6f075 · outbound
This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.593494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation b0c0b85f-b8d4-4a56-8f4e-e0209c855504 · outbound
This paper cites Rocode: Integrating backtracking mechanism and program analysis in large language models for code generation.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Rocode: Integrating backtracking mechanism and program analysis in large language models for code generation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.173566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 6e62392c-8aa9-4984-9d28-a21c31bbd9ba · outbound
This paper cites CoRT: Code-integrated Reasoning within Thinking.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning CoRT: Code-integrated Reasoning within Thinking
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.574750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 0c20af3f-5b27-4c2e-8c21-f691252da1da · outbound
This paper cites Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13:9.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions.Hugging Face repository, 13:9
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.194324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation ec2066e2-154f-48f6-9c34-80fc5b6df27e · outbound
This paper cites Discovery and reinforcement of tool-integrated reasoning chains via rollout trees.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Discovery and reinforcement of tool-integrated reasoning chains via rollout trees
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.580856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 387e2a8d-5110-498e-bc0f-17967b404cf0 · outbound
This paper cites Taming the tail: Stable llm reinforcement learning via dynamic vocabulary pruning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Taming the tail: Stable llm reinforcement learning via dynamic vocabulary pruning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.405568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 7b380701-1f7e-4084-b4c3-f793bf983a2d · outbound
This paper cites Understanding Tool-Integrated Reasoning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Understanding Tool-Integrated Reasoning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.427044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation adf19fb3-4f2b-48ce-8aff-469aefc6599c · outbound
This paper cites When speed kills stability: Demystifying rl collapse from the training-inference mismatch.Notion Blog.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning When speed kills stability: Demystifying rl collapse from the training-inference mismatch.Notion Blog
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.170822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 3d661578-4f7b-46cd-a0c6-0cc0d0dc1606 · outbound
This paper cites In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V
Reference 24
- Resolution
- metadata mismatch
- doi, observed 2026-05-08T22:04:16.314834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 8fa5e5dd-2d26-46f0-b11a-9ae8843df971 · outbound
This paper cites P1-vl: bridging visual perception and scientific reasoning in physics olympiads.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning P1-vl: bridging visual perception and scientific reasoning in physics olympiads
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.550096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation bb3f2994-4764-42d7-90ae-b2202d5afd14 · outbound
This paper cites an unresolved cited work.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Unresolved cited work
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.184481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 665d6b1e-c68e-4bd4-952f-06692a0fc59d · outbound
This paper cites Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.510364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 5e52a6fd-ced8-4fa9-9229-77d5f35150a8 · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning gpt-oss-120b & gpt-oss-20b Model Card
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.524954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 1c8db598-948e-48ee-9b2d-32a1d88c87ed · outbound
This paper cites GPT-4 Technical Report.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning GPT-4 Technical Report
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.529637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 20e06971-ae9c-4b2b-8701-c96801aaddf1 · outbound
This paper cites Gpqa: A graduate-level google-proof q&a benchmark.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Gpqa: A graduate-level google-proof q&a benchmark
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.187199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation a3e970f5-5a02-484a-a52b-31115fe346fe · outbound
This paper cites rStar2-Agent: Agentic Reasoning Technical Report.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning rStar2-Agent: Agentic Reasoning Technical Report
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:01:10.556776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 56450165-65c3-4e8f-8d57-778836720ea5 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.400143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation c8524664-18f1-4fd6-acca-543ee1efa219 · outbound
This paper cites MIT press.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning MIT press
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.176584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation cd3622c8-9c89-41ca-b167-25be88eeebd1 · outbound
This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.382936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 28545870-e9b6-46d6-804b-3c08507fee5b · outbound
This paper cites Kimi K2.5: Visual Agentic Intelligence.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Kimi K2.5: Visual Agentic Intelligence
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.515399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 95bf1353-d584-426c-a129-5992e47e4f41 · outbound
This paper cites Minimax m2.7: Early echoes of self-evolution.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Minimax m2.7: Early echoes of self-evolution
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.181682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation f306f1c1-fe18-40f8-9fcd-90e285ae148a · outbound
This paper cites Information gain-based policy optimization: A simple and effective approach for multi-turn llm agents.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Information gain-based policy optimization: A simple and effective approach for multi-turn llm agents
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.481341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation a895fe30-9bab-406a-b83b-fdfd3cc3f986 · outbound
This paper cites Frontierscience: Evaluating ai’s ability to perform expert-level scientific tasks.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Frontierscience: Evaluating ai’s ability to perform expert-level scientific tasks
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.388271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 6ba77ecd-e935-4f3c-a055-b9ad52946b9d · outbound
This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.492259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation ac9ea6eb-31f3-4f26-b14a-8460bc5b76b7 · outbound
This paper cites SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.534979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 9bc7adef-3517-4e7d-b04b-6c1750a524ca · outbound
This paper cites Qwen3 Technical Report.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Qwen3 Technical Report
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T20:01:10.455585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation e9787b34-b25d-470f-9327-54c8142e21d2 · outbound
This paper cites Demystifying reinforcement learning in agentic reasoning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Demystifying reinforcement learning in agentic reasoning
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.463046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation f6022caf-b35d-4077-95eb-a0a0d37476a4 · outbound
This paper cites arXiv preprint arXiv:2509.25123 , year=.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning arXiv preprint arXiv:2509.25123 , year=
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.504532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 172ba5bd-3c15-4fda-8618-7dc986178572 · outbound
This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T08:21:05.971096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation e82a96c8-ea1e-4f09-a2f0-ca96ff56852a · outbound
This paper cites A Survey of Reinforcement Learning for Large Reasoning Models.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning A Survey of Reinforcement Learning for Large Reasoning Models
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:02:25.511734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 032d17cb-66cc-4427-9ec9-a56bd8f2b6e0 · outbound
This paper cites arXiv preprint arXiv:2508.11408 , year=.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning arXiv preprint arXiv:2508.11408 , year=
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:01:10.612376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 24c9aee2-4be6-428c-9ac7-183078a7e3dd · outbound
This paper cites Aster: Agentic scaling with tool-integrated extended reasoning.arXiv preprint arXiv:2602.01204, 2026c.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Aster: Agentic scaling with tool-integrated extended reasoning.arXiv preprint arXiv:2602.01204, 2026c
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.603160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation d22bc3a9-17f2-4fce-93e5-7d4b89b5764d · outbound
This paper cites Tool-r1: Sample-efficient reinforcement learning for agentic tool use.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Tool-r1: Sample-efficient reinforcement learning for agentic tool use
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.434798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 29968e6d-cbc3-47a7-90ab-6b241cb2c669 · outbound
This paper cites Stabilizing reinforcement learning with llms: Formulation and practices.arXiv preprint arXiv:2512.01374, 2025a.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning Stabilizing reinforcement learning with llms: Formulation and practices.arXiv preprint arXiv:2512.01374, 2025a
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:01:10.469001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation bfdc0c0e-5e98-4e4b-ad09-8d45e48d039e · outbound
This paper cites slime: An llm post-training framework for rl scaling.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning slime: An llm post-training framework for rl scaling
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T15:07:52.189283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Observation 4063b9a7-cab4-43fb-9a97-5c4e12a4dc8c · outbound
This paper cites TTRL: Test-Time Reinforcement Learning.
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning TTRL: Test-Time Reinforcement Learning
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:01:10.420787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.
Pith citing papers
No inbound Pith citation observations are available.