Paper Citation Record · LEDGER

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2505.00024.

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

pith.paper-citation-record.v1
2505.00024 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:36.354899Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.