Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T15:33:01.138366Z
Paper Citation Record · LEDGER
CurateEvo: Data-Curation Evolving for Agentic Post-Training
As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.06140.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
42 of 42 outbound references displayed
- verified exact14
- verified fuzzy23
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f137657a-ea64-46f4-801e-5935f46b8a92 · outbound
This paper cites Openhands feedback dataset.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Openhands feedback dataset
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.307525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 97801b93-c123-4128-8699-aad3c4335b3e · outbound
This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.
CurateEvo: Data-Curation Evolving for Agentic Post-Training $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T15:35:07.144996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0f3a2262-6bb4-4e37-b238-6e13880cb7df · outbound
This paper cites SWE-chat: Coding agent interactions from real users in the wild.
CurateEvo: Data-Curation Evolving for Agentic Post-Training SWE-chat: Coding agent interactions from real users in the wild
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.280772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c60c727-3e8b-4215-8df9-dc72866e3d6b · outbound
This paper cites Fireact: Toward language agent finetuning, 2024.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Fireact: Toward language agent finetuning, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.301750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 061d8a3b-64a1-48b6-b092-d361b51a2f9c · outbound
This paper cites ACEBench: A Comprehensive Evaluation of LLM Tool Usage.
CurateEvo: Data-Curation Evolving for Agentic Post-Training ACEBench: A Comprehensive Evaluation of LLM Tool Usage
Reference 5
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.437129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96efb024-9d7c-40d7-a2d8-c10e2d441eef · outbound
This paper cites Batch-ICL: Effective, efficient, and order-agnostic in-context learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Batch-ICL: Effective, efficient, and order-agnostic in-context learning
Reference 6
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-08T15:35:06.458324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 48cd20db-5af1-465f-9898-8280b4337162 · outbound
This paper cites ATLAS: Agent tuning via learning critical steps.
CurateEvo: Data-Curation Evolving for Agentic Post-Training ATLAS: Agent tuning via learning critical steps
Reference 7
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.456063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 775f58b4-b5ed-4321-9374-6a1ed663b90a · outbound
This paper cites Mind2web: Towards a generalist agent for the web.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Mind2web: Towards a generalist agent for the web
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.305765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dc8dbc5d-bb9b-4e7f-8547-067159f34530 · outbound
This paper cites RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents.
CurateEvo: Data-Curation Evolving for Agentic Post-Training RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T15:35:07.134586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d862cbfa-0fb3-481d-9c3e-8ac778c36f51 · outbound
This paper cites LoRA: Low-rank adaptation of large language models.
CurateEvo: Data-Curation Evolving for Agentic Post-Training LoRA: Low-rank adaptation of large language models
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.264053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 92ab9441-0859-4203-917b-e4ff6fffd376 · outbound
This paper cites WebCoT: Enhancing web agent rea- soning by reconstructing chain-of-thought in reflection, branching, and rollback.
CurateEvo: Data-Curation Evolving for Agentic Post-Training WebCoT: Enhancing web agent rea- soning by reconstructing chain-of-thought in reflection, branching, and rollback
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.303760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ebc38a4c-e72c-4e6a-b28e-d3035df2f1e4 · outbound
This paper cites URL https://aclanthology.org/2025.findings- emnlp.276/.
CurateEvo: Data-Curation Evolving for Agentic Post-Training URL https://aclanthology.org/2025.findings- emnlp.276/
Reference 12
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.460681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f86ab7b2-fe7c-4e10-ae4e-f62579b2bd17 · outbound
This paper cites Search-r1: Training LLMs to reason and leverage search engines with reinforcement learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Search-r1: Training LLMs to reason and leverage search engines with reinforcement learning
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.266183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ad66cc0c-94e1-419f-a2c9-8f67660172b1 · outbound
This paper cites Dataenvgym: Data gen- eration agents in teacher environments with student feedback.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Dataenvgym: Data gen- eration agents in teacher environments with student feedback
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.272613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 000275b5-0dcd-424e-ba0f-16bc46d9f9ae · outbound
This paper cites Autowebglm: A large language model-based web navigating agent.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Autowebglm: A large language model-based web navigating agent
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.284632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15ccafd8-d344-4cc2-b66a-b8d43a8c258c · outbound
This paper cites ISBN 9798400704901.
CurateEvo: Data-Curation Evolving for Agentic Post-Training ISBN 9798400704901
Reference 16
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.443201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1df5e4af-5f94-4b07-a803-c17df0c6a691 · outbound
This paper cites Exploring expert failures improves LLM agent tuning, 2026.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Exploring expert failures improves LLM agent tuning, 2026
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.278726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9457df1b-6b91-4e9b-96db-650d9ef1e561 · outbound
This paper cites Efficient multi-turn RL for GUI agents via decoupled training and adaptive data curation, 2026.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Efficient multi-turn RL for GUI agents via decoupled training and adaptive data curation, 2026
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.276805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 069a9bc4-1fcb-448d-8008-0505aed2f4e7 · outbound
This paper cites Agentre- wardbench: Evaluating automatic evaluations of web agent trajectories.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Agentre- wardbench: Evaluating automatic evaluations of web agent trajectories
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.296115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa9e755e-7046-48f0-b9a5-8debc367c4c3 · outbound
This paper cites Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.282729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6c35d820-b927-43de-b58e-613d46069cb1 · outbound
This paper cites WebRL: Training LLM web agents via self-evolving online curriculum reinforcement learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training WebRL: Training LLM web agents via self-evolving online curriculum reinforcement learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.297959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af30ab28-6ad4-4834-a51c-1f84c7865f80 · outbound
This paper cites ToolLLM: Facilitating large lan- guage models to master 16000+ real-world APIs.
CurateEvo: Data-Curation Evolving for Agentic Post-Training ToolLLM: Facilitating large lan- guage models to master 16000+ real-world APIs
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.292384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fa86ea90-796c-4c1c-a876-7bab5cc95f6d · outbound
This paper cites EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.
CurateEvo: Data-Curation Evolving for Agentic Post-Training EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T15:35:07.139806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fa31ce46-9784-49bf-99ba-352282cf133e · outbound
This paper cites AgentBank: Towards generalized LLM agents via fine-tuning on 50000+ interaction trajectories.
CurateEvo: Data-Curation Evolving for Agentic Post-Training AgentBank: Towards generalized LLM agents via fine-tuning on 50000+ interaction trajectories
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.288633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bd2531e6-0006-4e7e-9e6f-914845b38222 · outbound
This paper cites Trial and error: Exploration- based trajectory optimization of LLM agents.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Trial and error: Exploration- based trajectory optimization of LLM agents
Reference 25
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.453762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 587dcd45-d1b6-4b39-944b-1cfc2a7cd44c · outbound
This paper cites Xu, Shuyan Zhou, Xingyao Wang, Xiang Yue, Tao Yu, Huan Sun, Yu Su, and Graham Neubig.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Xu, Shuyan Zhou, Xingyao Wang, Xiang Yue, Tao Yu, Huan Sun, Yu Su, and Graham Neubig
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.290506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e2b71918-fb9a-4a91-b0ac-ebf75e00ebf1 · outbound
This paper cites InSTA: Towards internet-scale training for agents, 2026.
CurateEvo: Data-Curation Evolving for Agentic Post-Training InSTA: Towards internet-scale training for agents, 2026
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.294208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 343d8a28-1edc-4938-a911-72f23c6bd7fc · outbound
This paper cites Learning from failure: Integrating negative examples when fine-tuning large language models as agents, 2024.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Learning from failure: Integrating negative examples when fine-tuning large language models as agents, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.299896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fe49a2fc-ba80-4554-9e7c-be7a06784347 · outbound
This paper cites NAT: En- hancing agent tuning with negative samples.
CurateEvo: Data-Curation Evolving for Agentic Post-Training NAT: En- hancing agent tuning with negative samples
Reference 29
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.447951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5cf7563f-74b8-4ebc-bc8c-dfaf7ecd2fc7 · outbound
This paper cites Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T15:35:07.147458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a49d9804-1e64-4d2b-b360-bef7c5926a61 · outbound
This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T15:35:07.149976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1522897f-e6e6-400f-befa-f7072c443eac · outbound
This paper cites Agent workflow memory.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Agent workflow memory
Reference 32
- Resolution
- metadata mismatch
- doi, observed 2026-07-08T15:35:06.440612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 27efc208-c509-4a17-93f1-be8cef545fd9 · outbound
This paper cites Agentgym-RL: An open-source framework to train LLM agents for long-horizon decision making via multi-turn RL.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Agentgym-RL: An open-source framework to train LLM agents for long-horizon decision making via multi-turn RL
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.286662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3f3c58f-539b-4dd2-8495-dde35f078286 · outbound
This paper cites LESS: Selecting influential data for targeted instruction tuning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training LESS: Selecting influential data for targeted instruction tuning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.274734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 275cefff-f305-4fe4-99ee-be3f74b6aff0 · outbound
This paper cites Funreason-mt technical report: Advanced data synthesis solution for real-world multi-turn tool-use, 2025.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Funreason-mt technical report: Advanced data synthesis solution for real-world multi-turn tool-use, 2025
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T15:35:07.155390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3a457ab8-bcab-4262-9770-69f6b3e63943 · outbound
This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.
CurateEvo: Data-Curation Evolving for Agentic Post-Training SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T15:35:07.137289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b1bcf1af-7e51-45a8-a33b-7b2d4c7f989b · outbound
This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Webshop: Towards scalable real-world web interaction with grounded language agents
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.270598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79f4e27e-cc7c-4260-9a21-4d23e345adb6 · outbound
This paper cites Agent lumos: unified and modular training for open-source language agents , shorttitle =.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Agent lumos: unified and modular training for open-source language agents , shorttitle =
Reference 38
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.450672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8ac81cac-01f6-49cd-9d0e-6f1f029bf931 · outbound
This paper cites Envgen: Generating and adapting environments via LLMs for training embodied agents.
CurateEvo: Data-Curation Evolving for Agentic Post-Training Envgen: Generating and adapting environments via LLMs for training embodied agents
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T15:35:07.268535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9e432016-e6d0-4ac2-8d4b-2bbd7dae55fb · outbound
This paper cites A gent T uning: Enabling Generalized Agent Abilities for LLM s.
CurateEvo: Data-Curation Evolving for Agentic Post-Training A gent T uning: Enabling Generalized Agent Abilities for LLM s
Reference 40
- Resolution
- verified exact
- doi, observed 2026-07-08T15:35:06.445631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c2bf0b90-6dc0-4714-9450-617704a9410d · outbound
This paper cites AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.
CurateEvo: Data-Curation Evolving for Agentic Post-Training AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Reference 41
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T15:35:07.142410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 73dd061a-8945-445a-86b7-ba01e5e90857 · outbound
This paper cites MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use.
CurateEvo: Data-Curation Evolving for Agentic Post-Training MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T15:35:07.152620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.