FireAct: Toward Language Agent Fine-tuning | Paper Citation Record

Observation b87ab206-5067-4d51-9903-e4393ce36fea · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security FireAct: Toward Language Agent Fine-tuning

Reference 247

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:57:26.697334Z

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Observation 73de4fac-6c3e-4ec7-9608-87cd9f5bfdd9 · inbound

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning cites this paper.

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:58:35.113146Z

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Observation 640f5ca7-00db-45d7-a5df-331e3119812e · inbound

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling cites this paper.

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:55:30.350423Z

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Observation 5c29a3f8-f1d8-4bfc-9f81-68cd7864dc9e · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks FireAct: Toward Language Agent Fine-tuning

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-10T23:07:33.921161Z

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Observation 082b0d5e-bcf0-44bc-9c21-9346819e1817 · inbound

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments cites this paper.

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:56:44.439851Z

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Observation 8e0aa012-322f-4fc4-8919-a50c581c0df7 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments FireAct: Toward Language Agent Fine-tuning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:38.488034Z

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Observation 646dde47-932f-4ed0-aa43-f7185d9a3607 · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:07:30.575127Z

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Observation e48f99d2-9cf3-4d39-a050-74ea028dfc96 · inbound

Reinforcement Learning for Long-Horizon Interactive LLM Agents cites this paper.

Reinforcement Learning for Long-Horizon Interactive LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T14:56:00.193783Z

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Observation 6c105d71-7338-46c5-8849-cc86c692f7be · inbound

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search cites this paper.

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T11:47:31.226178Z

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Observation 44a6eb19-835b-4422-8264-9a3c50ab297f · inbound

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization cites this paper.

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization FireAct: Toward Language Agent Fine-tuning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T21:58:39.413359Z

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Observation 47799336-aff9-4f60-b8de-51c448c20082 · inbound

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training cites this paper.

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training FireAct: Toward Language Agent Fine-tuning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T15:01:44.601401Z

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Observation f718996a-ad8b-406c-8ffd-65ecf8b4eb47 · inbound

InSTA: Towards Internet-Scale Training For Agents cites this paper.

InSTA: Towards Internet-Scale Training For Agents FireAct: Toward Language Agent Fine-tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T14:24:50.313595Z

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Observation 22b0482f-0f63-45dc-9219-3a0fb7b7248f · inbound

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents cites this paper.

Digi-Q: Learning Q-Value Functions for Training Device-Control Agents FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T20:57:48.380397Z

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Observation 3a52da57-1d21-4abd-889f-50538f316495 · inbound

Effective Reinforcement Learning for Reasoning in Language Models cites this paper.

Effective Reinforcement Learning for Reasoning in Language Models FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:15.384955Z

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Observation 9d59dde0-aa66-4377-b779-ff008ad7da81 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey FireAct: Toward Language Agent Fine-tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:51.825888Z

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Observation 4e07b629-aa8e-4ecc-a5f4-db57fc4ab08d · inbound

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning cites this paper.

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:02.785697Z

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Observation 24ba30b1-3a1a-4744-9b32-ffb030550847 · inbound

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking cites this paper.

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:53.740452Z

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Observation acce814c-6101-497e-8130-b2be289ae051 · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution FireAct: Toward Language Agent Fine-tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:02.795247Z

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Observation 34e23431-e069-445d-90ab-5951361985e9 · inbound

RRO: LLM Agent Optimization Through Rising Reward Trajectories cites this paper.

RRO: LLM Agent Optimization Through Rising Reward Trajectories FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:41.263415Z

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Observation e42a0d3b-5c02-40f9-8b20-fe1b05831de5 · inbound

Agent-Environment Alignment via Automated Interface Generation cites this paper.

Agent-Environment Alignment via Automated Interface Generation FireAct: Toward Language Agent Fine-tuning

Reference 8

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Observation 05a885bf-085a-4741-89e4-742cb11aae9e · inbound

WebDancer: Towards Autonomous Information Seeking Agency cites this paper.

WebDancer: Towards Autonomous Information Seeking Agency FireAct: Toward Language Agent Fine-tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:59.724999Z

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Observation da351dd0-93da-4672-b144-ced5533be68a · inbound

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation cites this paper.

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:31.904774Z

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Observation 622a48e0-de72-472a-a0c6-f43cbd5a0d5a · inbound

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization cites this paper.

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:00.567143Z

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Observation 7722ca1e-4be8-49b1-b8d0-65aaa2cb1e06 · inbound

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback cites this paper.

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:54.902423Z

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Observation 5753f9fc-d847-4e26-a0c5-593e07aa9abe · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games FireAct: Toward Language Agent Fine-tuning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:02:16.630032Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ac41ca7-a31c-4ac2-885e-2f056241fcbe · inbound

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:03:25.898272Z

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Observation cfbb0d56-e472-4344-ab30-6a7a09779e7c · inbound

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents cites this paper.

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:42.146724Z

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Observation 57d5bf82-b0ed-40e6-a1f0-041237f1d47e · inbound

Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems cites this paper.

Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems FireAct: Toward Language Agent Fine-tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:59.720213Z

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Observation 92f03b00-374b-4a14-9c7c-068dcff9429b · inbound

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning cites this paper.

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:00.459541Z

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Observation dfcb3673-566d-4a51-bd5f-6caf64e3b635 · inbound

WebSailor: Navigating Super-human Reasoning for Web Agent cites this paper.

WebSailor: Navigating Super-human Reasoning for Web Agent FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:37:09.609424Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ece5b4b-0d92-46bc-a299-ae61de169c11 · inbound

SAND: Boosting LLM Agents with Self-Taught Action Deliberation cites this paper.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:19.417248Z

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Observation a6f50084-356e-42ed-b398-20cf7978c4cf · inbound

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition cites this paper.

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition FireAct: Toward Language Agent Fine-tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:33:53.491820Z

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Observation 3baeeb8c-e4ef-4928-8cff-4e32bae54d62 · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T12:18:31.887391Z

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Observation 7d149853-178e-4757-a71c-fdf5f94f7ea8 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey FireAct: Toward Language Agent Fine-tuning

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.752794Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 233947b3-af51-43fb-aa22-d60d4dd230e7 · inbound

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems cites this paper.

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:10.443190Z

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Observation c363136c-8b56-418e-a591-d3f89be6daf9 · inbound

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization cites this paper.

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:05:21.475359Z

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Observation a703daeb-00fa-40df-9da0-698878cdb6e4 · inbound

MemVerse: Multimodal Memory for Lifelong Learning Agents cites this paper.

MemVerse: Multimodal Memory for Lifelong Learning Agents FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:57.657515Z

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Observation 701c787b-a889-4547-acf4-0b55d6b846b8 · inbound

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models cites this paper.

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:44:05.540078Z

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Observation 215a4d4b-b014-49a7-b769-75b812a26f03 · inbound

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents cites this paper.

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:19:31.175043Z

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Observation a2334525-f988-410c-bc05-b0a5cb16df15 · inbound

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache cites this paper.

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache FireAct: Toward Language Agent Fine-tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:54.920774Z

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Observation ebdc028a-c5d4-46cc-9c4e-61c78c258e34 · inbound

PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory cites this paper.

PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:59.754002Z

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Observation b0613023-41f0-471c-990b-2b4ecff093f3 · inbound

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents cites this paper.

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:46:10.623340Z

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Observation d76db5ba-0679-41f7-aad1-bd04ba976c6a · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.906759Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cfc38ba-4da7-40ec-b7a5-cd2a40a62e60 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:17.132850Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2816bf74-7e82-4ed4-bfc5-c5539c5ab24a · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.660252Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 414876f4-f394-4d5f-ae80-fb49c6d560d0 · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents FireAct: Toward Language Agent Fine-tuning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:54.506607Z

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Observation a76083b1-83e4-42ea-9057-87b5a5a12829 · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents FireAct: Toward Language Agent Fine-tuning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T05:20:45.134981Z

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Observation c713480d-1da4-4114-941f-bc60dfa7ca11 · inbound

Learning CLI Agents with Structured Action Credit under Selective Observation cites this paper.

Learning CLI Agents with Structured Action Credit under Selective Observation FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:00:56.420074Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e71c9f61-b55d-40a9-ad30-20bcc08b828b · inbound

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation cites this paper.

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation FireAct: Toward Language Agent Fine-tuning

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:11:27.660465Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3701cabe-b463-4441-948b-0692179f4b81 · inbound

Verifiable Process Rewards for Agentic Reasoning cites this paper.

Verifiable Process Rewards for Agentic Reasoning FireAct: Toward Language Agent Fine-tuning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:27.390166Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 972a20b1-7617-496f-a8cf-7bf7c87c0396 · inbound

Verifiable Process Rewards for Agentic Reasoning cites this paper.

Verifiable Process Rewards for Agentic Reasoning FireAct: Toward Language Agent Fine-tuning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:45:07.256818Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50bf99b1-d234-4603-9715-a2fd78b34f04 · inbound

SkillGen: Verified Inference-Time Agent Skill Synthesis cites this paper.

SkillGen: Verified Inference-Time Agent Skill Synthesis FireAct: Toward Language Agent Fine-tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:23.043506Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d945513a-b9ff-4c3d-8ce0-3cf7ca4ee900 · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents FireAct: Toward Language Agent Fine-tuning

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:09:45.136629Z

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Observation 03da1012-3696-4a93-90a2-e6fa14d1f4d9 · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents FireAct: Toward Language Agent Fine-tuning

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:23:43.246128Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c719705-040b-4d02-826f-e8d9c0595458 · inbound

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination FireAct: Toward Language Agent Fine-tuning

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.288078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37d965ed-ee2c-4c4d-87e8-d9aac2c260eb · inbound

AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering cites this paper.

AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering FireAct: Toward Language Agent Fine-tuning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.927143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf1dca57-c7ec-4bf1-a977-a4b09a47e521 · inbound

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost cites this paper.

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost FireAct: Toward Language Agent Fine-tuning

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T06:31:10.437580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87fd8886-651e-4c1b-9b21-1a64611edfbf · inbound

Test-Time Deep Thinking to Explore Implicit Rules cites this paper.

Test-Time Deep Thinking to Explore Implicit Rules FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:54:38.220238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38045e09-7dbd-448d-89d7-bdbc8e7d98c3 · inbound

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning cites this paper.

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning FireAct: Toward Language Agent Fine-tuning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:23.735371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64d64355-8c2a-4094-8ea1-bf6143d4dfe2 · inbound

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents cites this paper.

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:16:24.848399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71ae13f4-84af-4eac-86d7-6e31862d9f7f · inbound

SaliMory: Orchestrating Cognitive Memory for Conversational Agents cites this paper.

SaliMory: Orchestrating Cognitive Memory for Conversational Agents FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:16:31.723007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee620fc9-0804-4521-bc91-bd3ab31fbd65 · inbound

Self-evolving LLM agents with in-distribution Optimization cites this paper.

Self-evolving LLM agents with in-distribution Optimization FireAct: Toward Language Agent Fine-tuning

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:57:09.540367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 93edcb76-e681-48db-94cb-a54fbdee09f9 · inbound

Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents cites this paper.

Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents FireAct: Toward Language Agent Fine-tuning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T09:50:48.183424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2f72c89-7104-4a4b-a26a-624139ce3b11 · inbound

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents cites this paper.

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents FireAct: Toward Language Agent Fine-tuning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:59:38.128661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 698a2d61-ed51-475a-b800-89780383ac57 · inbound

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents cites this paper.

AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:11.465290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5074fd1-6551-4c79-8f50-a25b58c0258c · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks FireAct: Toward Language Agent Fine-tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.879268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8096747b-5fb9-4f05-8ddc-2319995977ba · inbound

Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents cites this paper.

Agentic-Ideation: Sample Efficient Agentic Trajectories Synthesis for Scientific Ideation Agents FireAct: Toward Language Agent Fine-tuning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:05:41.381986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2444a382-c0b1-40c2-900f-f5c24b58fa44 · inbound

Atomic Task Graph: A Unified Framework for Agentic Planning and Execution cites this paper.

Atomic Task Graph: A Unified Framework for Agentic Planning and Execution FireAct: Toward Language Agent Fine-tuning

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.353187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 56cecc91-1805-4e49-912f-9797b1ea6101 · inbound

STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training cites this paper.

STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training FireAct: Toward Language Agent Fine-tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T10:50:54.419477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8d235e-bea8-4cda-88cc-f30d8bc5c0a4 · inbound

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution cites this paper.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution FireAct: Toward Language Agent Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T05:30:10.497783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fadb3a24-6dea-449d-8890-a67f0292a037 · inbound

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories cites this paper.

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T10:33:54.851493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0812fa76-c88c-4290-9848-71d20c002f2b · inbound

From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training cites this paper.

From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training FireAct: Toward Language Agent Fine-tuning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T09:45:49.534257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8650e116-c765-4a9c-bdf2-a1b5bc534758 · inbound

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures cites this paper.

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures FireAct: Toward Language Agent Fine-tuning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T13:17:10.198084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bda8c0e-88b7-4aa2-b1f1-f9856096f671 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG FireAct: Toward Language Agent Fine-tuning

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:56.153236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 212faca4-28ac-4214-93c4-009490a9726b · inbound

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning FireAct: Toward Language Agent Fine-tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:29.355941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d4c95c5-497b-4e2b-9371-b8e6e72dd8c4 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents FireAct: Toward Language Agent Fine-tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T14:30:12.562879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5191ba9d-6e22-40fb-8c00-8ee41facf7f3 · inbound

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents cites this paper.

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents FireAct: Toward Language Agent Fine-tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T04:29:02.267081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35807e4-fae5-419d-a086-825e7bb85ae3 · inbound

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems cites this paper.

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems FireAct: Toward Language Agent Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T00:46:08.879772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f20d570-efd7-4c93-ab90-7707693ad3a7 · inbound

MemHarness: Memory Is Reconstructed, Not Replayed cites this paper.

MemHarness: Memory Is Reconstructed, Not Replayed FireAct: Toward Language Agent Fine-tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T12:39:14.155269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers