Paper Citation Record · LEDGER

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.15506.

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

pith.paper-citation-record.v1
2402.15506 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:49.121774Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T15:35:07.141040Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6ef97dba-38db-441b-8610-c9ead5e3f823 · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:29:27.391116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a89bbf7-c2ad-4550-bd3a-8b85e13b028b · inbound

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use cites this paper.

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T19:47:48.366610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0bd1c8-e038-4b00-aa24-0a5bf26b7234 · inbound

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons cites this paper.

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T17:55:13.675374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65835c60-3c14-424e-b43e-dd930c896755 · inbound

AgentRefine: Enhancing Agent Generalization through Refinement Tuning cites this paper.

AgentRefine: Enhancing Agent Generalization through Refinement Tuning AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:24:43.164073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038236ee-fc72-4ba4-8dc0-6b827899e086 · inbound

Exploring Expert Failures Improves LLM Agent Tuning cites this paper.

Exploring Expert Failures Improves LLM Agent Tuning AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:18:49.121774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e16263-17a0-4715-9eac-5a67ac4af2d7 · inbound

Advancing and Benchmarking Personalized Tool Invocation for LLMs cites this paper.

Advancing and Benchmarking Personalized Tool Invocation for LLMs AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:53.418910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b37857e-8851-413d-87d0-9aa357bf5ecf · 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 AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:56.761441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e1580c-d7a3-4dea-9374-2b80f795498a · inbound

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning cites this paper.

Truly Self-Improving Agents Require Intrinsic Metacognitive Learning AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:24.108717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039e2050-2379-4da1-baec-6429f2336e89 · inbound

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience cites this paper.

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T23:55:50.994719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48bef6c8-d0a6-444e-b1eb-ce4f4192a8b8 · inbound

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning cites this paper.

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T16:08:42.143756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4105de6e-823f-4fdb-bf5d-4e7f42c5537d · 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 AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T18:50:10.638059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74c3478-de75-4ebe-a906-a2a97663a43d · inbound

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

Test-Time Deep Thinking to Explore Implicit Rules AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:54:38.214917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dda934ae-6543-4d42-84c2-20711e23d355 · inbound

ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents cites this paper.

ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:35:41.898851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2bf0b90-6dc0-4714-9450-617704a9410d · inbound

CurateEvo: Data-Curation Evolving for Agentic Post-Training cites this paper.

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 2026-08-23T06:30:58.430688+00:00.

Observation ab0b9678-441f-4317-ab61-e5a8b6db9f8b · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:55:00.782744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7b2d42-b81d-4f94-99c8-bac70ee74bdb · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T04:24:56.571280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbcc87f-a9a6-4a49-9e51-8dfe64b96e9d · inbound

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints cites this paper.

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T00:15:21.792943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.