Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.02052.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:37.283177Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 6c83ffb0-cad0-4681-9242-484a6d5352b4 · inbound
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 315bd876-a5fd-4726-9ff1-3db28bed851b · inbound
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 157a6381-3125-4964-8293-db18cc1a4ea9 · inbound
Visual Large Language Models for Generalized and Specialized Applications ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 216
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a9350b1-7658-4a6f-a063-f28ec01be196 · inbound
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e735ea1-7ad5-4148-8e13-68fc72839b72 · inbound
WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e081f3e-37ad-4970-96dc-5d5d01477955 · inbound
Visual Test-time Scaling for GUI Agent Grounding ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ad50331-6544-4eba-a402-6834e9913981 · inbound
BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8259e65d-1d8b-4d59-bd4e-360872caf8b8 · inbound
AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6642296e-aac2-4649-bc11-e0baa96ce5c7 · inbound
LLM-First Search: Self-Guided Exploration of the Solution Space ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 851db09b-90e5-403f-b4e4-5bf910310f59 · inbound
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 75
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0cc6e5c-f391-486f-8671-1b93e15810d9 · inbound
Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 434daac8-3b2d-44cc-90b4-ef956887eeee · inbound
WebGuard: Building a Generalizable Guardrail for Web Agents ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b328ce80-862c-4359-9441-dda5420da59d · inbound
DynaWeb: Model-Based Reinforcement Learning of Web Agents ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aaafc7a5-4901-4ec2-9cfa-8384fd0545d7 · inbound
NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2689092c-8f3f-4fc9-89c3-711016301144 · inbound
NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34c2382a-11c0-4cf4-aadf-e349f1fc95a3 · inbound
BranchBench: Aligning Database Branching with Agentic Demands ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.