Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:35.336899Z
Paper Citation Record · LEDGER
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 33 inbound Pith citation observations for arXiv:2505.00024.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:52:52.497186Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy18
- unresolved34
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 49749bbb-d435-4f3b-af0a-4434aec63f2e · outbound
This paper cites Chemcrow: Augmenting large-language models with chemistry tools.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Chemcrow: Augmenting large-language models with chemistry tools
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.245643Z
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.
Observation e0c1508c-1359-4b61-9251-4d11471cc246 · outbound
This paper cites Acebench: Who wins the match point in tool learning?arXiv preprint arXiv:2501.12851, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Acebench: Who wins the match point in tool learning?arXiv preprint arXiv:2501.12851, 2025
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.146688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3a7c3c3-8352-4c95-aae5-36d9bd1e102d · outbound
This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.150743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ea275ae-b33d-49c0-a79b-45caae5b7a50 · outbound
This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.155015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 233de737-a27b-4396-ad4d-a4ccd6a9d90c · outbound
This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.158993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2778d79-002b-4933-a14e-a60da02af70b · outbound
This paper cites On Designing Effective RL Reward at Training Time for LLM Reasoning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning On Designing Effective RL Reward at Training Time for LLM Reasoning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.163114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 535983c5-7f87-4d25-b01f-24368c4205ed · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.167122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c07a2ff4-1df8-422a-84ae-0d7bdc74ad41 · outbound
This paper cites Visual sketchpad: Sketching as a visual chain of thought for multimodal language models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Visual sketchpad: Sketching as a visual chain of thought for multimodal language models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.233585Z
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.
Observation 7bf87a75-a25f-4b96-a628-2d61f2f66f0b · outbound
This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.175548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 101f98bd-0676-4c5b-9f69-8b4381246a80 · outbound
This paper cites Language models can solve computer tasks.Advances in Neural Information Processing Systems, pages 39648–39677, 2023.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Language models can solve computer tasks.Advances in Neural Information Processing Systems, pages 39648–39677, 2023
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.220802Z
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.
Observation 7514f049-cbad-4e6d-ae99-1dec9d45f589 · outbound
This paper cites Internet-Augmented Dialogue Generation.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Internet-Augmented Dialogue Generation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.183794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7763e7e6-1f61-44b9-8beb-4508c1dc541d · outbound
This paper cites Internet-augmented language models through few-shot prompting for open-domain question answering.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Internet-augmented language models through few-shot prompting for open-domain question answering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.187574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fd8d46e-a389-4b22-8027-c2ee02c3e820 · outbound
This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.191591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9041ee50-4f15-4d4f-84a2-55162dffceb1 · outbound
This paper cites Process Reward Model with Q-Value Rankings.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Process Reward Model with Q-Value Rankings
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.195492Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 272b3cae-8532-4a53-bd03-4fe608b7a982 · outbound
This paper cites Hammer: Robust function-calling for on-device language models via function masking.International Conference on Learning Representations, 2024.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Hammer: Robust function-calling for on-device language models via function masking.International Conference on Learning Representations, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.197189Z
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.
Observation 1944ec4a-afe2-4d42-9903-f0914591b028 · outbound
This paper cites Code-r1: Reproducing r1 for code with reliable rewards.arXiv preprint arXiv:2503.18470, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Code-r1: Reproducing r1 for code with reliable rewards.arXiv preprint arXiv:2503.18470, 2025
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.206844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ad4f4c-1f8e-4401-9356-bf7838496cf8 · outbound
This paper cites Toolace: Winning the points of llm function calling.International Conference on Learning Representations, 2024.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Toolace: Winning the points of llm function calling.International Conference on Learning Representations, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.186319Z
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.
Observation 60be5adb-7108-48dc-b2f9-01f1d30f23d7 · outbound
This paper cites Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.175189Z
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.
Observation 1da50eb4-e3ec-48ad-ad90-dae696ae5724 · outbound
This paper cites UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.217426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77fe5306-4e2c-41da-b142-3e1d5292b172 · outbound
This paper cites Sql-r1: Training natural language to sql reasoning model by reinforcement learning.arXiv preprint arXiv:2504.08600, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Sql-r1: Training natural language to sql reasoning model by reinforcement learning.arXiv preprint arXiv:2504.08600, 2025
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.221075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 905e18bf-2716-4731-a106-7f46488d7e63 · outbound
This paper cites m & m’s: A benchmark to evaluate tool-use for m ulti-step m ulti-modal tasks.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning m & m’s: A benchmark to evaluate tool-use for m ulti-step m ulti-modal tasks
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.164101Z
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.
Observation b219db24-bc17-4e84-82ce-f8be6fd346fe · outbound
This paper cites Taco: Learning multi-modal action models with synthetic chains-of-thought-and-action.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Taco: Learning multi-modal action models with synthetic chains-of-thought-and-action
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.227973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d10fe966-0042-4d22-bfb4-d7275ffeb6bf · outbound
This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.231595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df8f7afb-1578-4c15-80c7-6888bd3599b1 · outbound
This paper cites s1: Simple test-time scaling.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning s1: Simple test-time scaling
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.235425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69517a6-469d-4b12-8ad0-33e86ad191f9 · outbound
This paper cites WebGPT: Browser-assisted question-answering with human feedback.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning WebGPT: Browser-assisted question-answering with human feedback
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.239129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 151820d6-d8fa-4189-afef-79e1bae26c1a · outbound
This paper cites Feedback loops with language models drive in-context reward hacking.International Conference on Machine Learning, 2024.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Feedback loops with language models drive in-context reward hacking.International Conference on Machine Learning, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.152794Z
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.
Observation 16ae09ac-c8c9-48a9-93d3-6c205c64ec3a · outbound
This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning ART: Automatic multi-step reasoning and tool-use for large language models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.246109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aa30e77-1943-4b17-8665-b839f1c73df8 · outbound
This paper cites APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.249740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633fddce-3d8c-4473-8097-49657e00cc80 · outbound
This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Toolllm: Facilitating large language models to master 16000+ real-world apis, 2023
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.141124Z
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.
Observation 75ca8db0-98b9-4e1b-9543-1eb05663aa5b · outbound
This paper cites Tool learning with large language models: A survey.Frontiers of Computer Science, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Tool learning with large language models: A survey.Frontiers of Computer Science, 2025
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.129251Z
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.
Observation fbdde0be-f158-490f-9cee-af2009785ad6 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.260272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d33f48c-7904-4f69-b690-7013b99c95b4 · outbound
This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.264007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3ee43dd-0922-4b87-9fa1-0b67ad618721 · outbound
This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning HybridFlow: A Flexible and Efficient RLHF Framework
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.267902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b06be77-10f9-4c4e-9d48-f770fc1a75a5 · outbound
This paper cites BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.271641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b016cdb-4648-4cab-9972-1a7e7b2cd76b · outbound
This paper cites Adaptive In-conversation Team Building for Language Model Agents.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Adaptive In-conversation Team Building for Language Model Agents
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.275414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04bd80a6-9b36-45d6-9e89-f09f70f91a4e · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning LLaMA: Open and Efficient Foundation Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.279709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 814848fb-9b3f-45c1-ab47-0bc0be7e120a · outbound
This paper cites Executable code actions elicit better llm agents.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Executable code actions elicit better llm agents
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.117489Z
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.
Observation 70f6df23-82ac-48fd-8278-005d01441b6c · outbound
This paper cites What Are Tools Anyway? A Survey from the Language Model Perspective.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning What Are Tools Anyway? A Survey from the Language Model Perspective
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.286404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d97cc87-ebe6-48ca-bd82-4a63ab76ea4e · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 2022.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 2022
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.106426Z
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.
Observation b7e559d7-b39d-4c84-a680-acb075286350 · outbound
This paper cites MathChat: Converse to Tackle Challenging Math Problems with LLM Agents.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.293284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4793b878-d277-4c8f-962d-6ce7ce5bbbba · outbound
This paper cites Patil, Ion Stoica, and Joseph E.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Patil, Ion Stoica, and Joseph E
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.095636Z
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.
Observation 3fb9dbfc-9aa7-4579-9c72-e4671ebebffc · outbound
This paper cites Qwen2.5 Technical Report.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Qwen2.5 Technical Report
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.300396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf48dc31-ad7a-420b-860e-11655884a4e7 · outbound
This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 2023.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 2023
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.083647Z
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.
Observation 271d900e-186c-4826-9ed1-cc464b547e53 · outbound
This paper cites Re- act: Synergizing reasoning and acting in language models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Re- act: Synergizing reasoning and acting in language models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.071753Z
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.
Observation cd4235b7-8e28-4ca2-af53-50a5108d722f · outbound
This paper cites Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.310996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c451a0a-5028-41b7-878f-c237507484d4 · outbound
This paper cites StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.315086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32818700-c092-4cb1-86dc-6b1ddbc3c202 · outbound
This paper cites Boosting tool use of large language models via iterative reinforced fine-tuning.arXiv preprint arXiv:2501.09766, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Boosting tool use of large language models via iterative reinforced fine-tuning.arXiv preprint arXiv:2501.09766, 2025
Reference 47
- Resolution
- verified exact
- raw_fallback, observed 2026-08-16T10:31:35.449180Z
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.
Observation df9dcf89-bf8d-460b-9b34-6bbe979f00ff · outbound
This paper cites Data-centric artificial intelligence: A survey.ACM Computing Surveys, 2025.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Data-centric artificial intelligence: A survey.ACM Computing Surveys, 2025
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.058847Z
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.
Observation 8960663d-00cd-47ba-9e1a-6ebaf8e7c4ef · outbound
This paper cites xlam: A family of large action models to empower ai agent systems.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning xlam: A family of large action models to empower ai agent systems
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.047237Z
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.
Observation e03dbd94-d63e-4575-8306-aff5f9d98a15 · outbound
This paper cites EcoAct: Economic Agent Determines When to Register What Action.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning EcoAct: Economic Agent Determines When to Register What Action
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.329671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 979a8588-a0a2-438f-9d2f-02c0b15156ae · outbound
This paper cites Training languagemodelagentswithoutmodifyinglanguagemodels.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Training languagemodelagentswithoutmodifyinglanguagemodels
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:31:36.035983Z
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.
Observation 45d4a086-6334-4ca7-bd61-bffce55f1fb8 · outbound
This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:35.336899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14039814-2878-4ee8-8886-41acc98ad8cb · outbound
This paper cites an unresolved cited work.
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:31:36.209155Z
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.
Pith citing papers
Observation 55fba8a4-b624-42d2-84ac-ee7f9f39423a · inbound
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems cites this paper.
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:52:52.497186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f32edaa0-bd51-4cb7-81a7-533956c446c1 · inbound
The Hallucination Tax of Reinforcement Finetuning cites this paper.
The Hallucination Tax of Reinforcement Finetuning Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:44:36.354899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f62d10de-d64c-42de-b2d7-77681a765934 · inbound
Visual Agentic Reinforcement Fine-Tuning cites this paper.
Visual Agentic Reinforcement Fine-Tuning Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:32.736707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fc74151-5eff-4081-a180-57d2aad2b823 · inbound
WebDancer: Towards Autonomous Information Seeking Agency cites this paper.
WebDancer: Towards Autonomous Information Seeking Agency Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:09:02.846595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7932a883-2bfe-4888-803c-20a7cea739a8 · inbound
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents cites this paper.
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:16:26.754466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d3b4cfe-bc69-4358-96c9-0d690ce2e958 · inbound
StepFun-Prover Preview: Let's Think and Verify Step by Step cites this paper.
StepFun-Prover Preview: Let's Think and Verify Step by Step Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:47:38.076693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 159b4990-e5c7-4400-b315-9e5dbff73feb · inbound
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use cites this paper.
MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:22:51.631063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2a6fe6a-5e9d-4f0b-9f1d-f754a154fbe8 · inbound
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench cites this paper.
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:49:00.746594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d24ae44-7827-42b1-bf90-4ea7efc56487 · inbound
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:24:39.953253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d928ccf2-7034-4c4f-a90f-1b64febeffe8 · inbound
Reinforced Visual Perception with Tools cites this paper.
Reinforced Visual Perception with Tools Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:05.083989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a2fa7a9-9b77-4d60-865b-50ae03e35d12 · inbound
Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels cites this paper.
Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:41:08.319271Z
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.
Observation bb5db8fd-4415-4d2c-bb58-9cc652e33de5 · inbound
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation cites this paper.
MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:15:26.752887Z
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.
Observation 9a615701-ee8e-4f43-88ba-0606415905e3 · inbound
Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models cites this paper.
Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:28:16.047540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e642e121-706e-41e9-a0b6-4f77905bd761 · inbound
LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models cites this paper.
LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:00:47.686992Z
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.
Observation f7167414-ff93-4c04-9fb4-de6f59864fb9 · inbound
Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning cites this paper.
Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T06:15:58.363701Z
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.
Observation 142182ba-3d01-4ab8-8105-7d86ff9c2db3 · inbound
Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model cites this paper.
Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:25:20.381487Z
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.
Observation 97593b0d-1f44-478e-8c0e-abbda9ea3e8c · inbound
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling cites this paper.
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:46:05.598895Z
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.
Observation 5287c186-a7de-47a5-a21d-5b2c0e598478 · inbound
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling cites this paper.
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-05T04:40:40.695576Z
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.
Observation 50d2d743-3da8-4f94-95d3-0edc9010f587 · inbound
CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.
CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:56:30.586469Z
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.
Observation 60d09fb1-7a28-4c2c-9a49-5cb1d35291c4 · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:11:26.747358Z
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.
Observation 1691925d-e988-412a-b22d-2a65c095f354 · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:29:48.025544Z
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.
Observation e24e6cda-8f49-44bc-8708-0ee6cce84a0f · inbound
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement cites this paper.
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:13:47.042443Z
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.
Observation b610b465-0527-41fb-bae3-78b36d5cee19 · inbound
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control cites this paper.
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T07:32:29.756995Z
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.
Observation 43e4fe24-08dc-4499-af74-b9b8f36dbb38 · inbound
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control cites this paper.
Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:05:06.427969Z
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.
Observation e15b3f73-7bf1-4501-ab0a-b930c5a74237 · inbound
Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR) cites this paper.
Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR) Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T04:59:44.534655Z
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.
Observation 131cda4a-c012-41cc-bbb6-824cbd1c1fa7 · inbound
Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models cites this paper.
Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:03:13.511091Z
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.
Observation 623b7556-ad61-4315-ad77-6ff632f35973 · inbound
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training cites this paper.
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:43:15.374233Z
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.
Observation fa3b5909-2615-42e9-8579-37aa52a39b5e · inbound
Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments cites this paper.
Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T03:36:29.699536Z
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.
Observation 53b32c7b-1cbe-468d-aa76-2e2eed45add2 · inbound
Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs cites this paper.
Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:17:30.701824Z
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.
Observation 96f730d3-8d75-45fa-b278-cbec30e2f639 · inbound
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation cites this paper.
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 4
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-03T05:07:39.282163Z
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.
Observation 8ded1493-716c-4061-a89a-18136fec6c84 · inbound
TCPO: Turn-Level Credit Policy Optimization cites this paper.
TCPO: Turn-Level Credit Policy Optimization Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:23:14.686054Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a641ada2-d208-4a43-987a-a284cdd29e67 · inbound
TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning cites this paper.
TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:18:15.310447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ff4c1bc-fd62-4dd1-a8fc-b299bc0ae9d3 · inbound
Teach the Magnitude, Not the Direction: Verifier-Bounded Credit Assignment for Multi-Turn Multi-step LLM Agents cites this paper.
Teach the Magnitude, Not the Direction: Verifier-Bounded Credit Assignment for Multi-Turn Multi-step LLM Agents Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:03:54.161918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.