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Paper Citation Record · LEDGER

ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

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.

pith.paper-citation-record.v1
2410.02052 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:37.283177Z

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

0
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 6c83ffb0-cad0-4681-9242-484a6d5352b4 · 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 ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:55:30.564467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:55:30.564467Z digest=sha256:9a4981e8d3bee8d3f98c18d8a7d275582998aef8bc1e09c35449a477c8aaf468

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T05:47:25.771298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:47:25.771298Z digest=sha256:5f2aa0187ecf2290947cb669767de945b8821b5dadc90fd66183c4973b5a2d60

Observation 157a6381-3125-4964-8293-db18cc1a4ea9 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 216

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:09.734778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:09.734778Z digest=sha256:72702cb844f0f8c1ecf94e1d907407a8cca4ca2bbe508764f9e3bd08b03ab616

Observation 6a9350b1-7658-4a6f-a063-f28ec01be196 · inbound

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T21:33:21.275825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:33:21.275825Z digest=sha256:1f46c9a088d603eb356b667a454582b2235635479569d5ee15989038caaf8829

Observation 8e735ea1-7ad5-4148-8e13-68fc72839b72 · inbound

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model cites this paper.

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:37.283177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:37.283177Z digest=sha256:fbe83593e32057cd4ce15cfa6d09e420fcd487853321f207d231576ea2da8c18

Observation 5e081f3e-37ad-4970-96dc-5d5d01477955 · inbound

Visual Test-time Scaling for GUI Agent Grounding cites this paper.

Visual Test-time Scaling for GUI Agent Grounding ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:39:37.687292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:39:37.687292Z digest=sha256:9c28e9addf88996043af67ed8b7b17abb4e556766914af23fbc77c36da8f10f0

Observation 5ad50331-6544-4eba-a402-6834e9913981 · inbound

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism cites this paper.

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:39.287913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:39.287913Z digest=sha256:158f1ee9c5a4a981d37d5059ad7386a8aa964d6b7ecc5bda4f9c6776b4530d49

Observation 8259e65d-1d8b-4d59-bd4e-360872caf8b8 · inbound

AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:47.661243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:47.661243Z digest=sha256:8cffa0b90c96a104370fb3cae4cf5b90d716eea92a522870090721501c02b4d0

Observation 6642296e-aac2-4649-bc11-e0baa96ce5c7 · inbound

LLM-First Search: Self-Guided Exploration of the Solution Space cites this paper.

LLM-First Search: Self-Guided Exploration of the Solution Space ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:42.798474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:42.798474Z digest=sha256:1e2f494a9851c2dfb5114c2fe6eea43d70ed4d186ab1e1cee9e6245d3de17e15

Observation 851db09b-90e5-403f-b4e4-5bf910310f59 · inbound

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:50.242692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:50.242692Z digest=sha256:418ce9a780874c4ec1bd14dc1e06006afd545d7c7dc9a9a13f860a3a8c2fb052

Observation d0cc6e5c-f391-486f-8671-1b93e15810d9 · inbound

Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs cites this paper.

Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:18:15.711419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:18:15.711419Z digest=sha256:0113738e6664196a3e91bd0e0e355ecef13a0195074198afd14ef9c03f974345

Observation 434daac8-3b2d-44cc-90b4-ef956887eeee · inbound

WebGuard: Building a Generalizable Guardrail for Web Agents cites this paper.

WebGuard: Building a Generalizable Guardrail for Web Agents ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:51.405901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:51.405901Z digest=sha256:eab8f3104b5138956cc4e7667e1e9205c3872d3fdbec029ffc70dee4fe4db06e

Observation b328ce80-862c-4359-9441-dda5420da59d · inbound

DynaWeb: Model-Based Reinforcement Learning of Web Agents cites this paper.

DynaWeb: Model-Based Reinforcement Learning of Web Agents ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:37:41.525346Z

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.

source=pdf_text observed=2026-05-16T09:33:30.444057Z digest=sha256:b0793c4047f7322751f36b3ea4196202317cf08a0c93a1fdaad0918b21ff2cd7

Observation aaafc7a5-4901-4ec2-9cfa-8384fd0545d7 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:10:21.489868Z

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.

source=pdf_text observed=2026-05-15T22:09:30.370382Z digest=sha256:4b7b4cfac4e322d6ba48f6a9caea3066a0c8d362fa69bb5f27b1a6114dc11d0a

Observation 2689092c-8f3f-4fc9-89c3-711016301144 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-02T22:57:01.410852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:57:01.410852Z digest=sha256:6a8b73d747a74a06e4c4b21ccdb1842b77bc803131c1fbd09e6801a7dc23cbdd

Observation 34c2382a-11c0-4cf4-aadf-e349f1fc95a3 · inbound

BranchBench: Aligning Database Branching with Agentic Demands cites this paper.

BranchBench: Aligning Database Branching with Agentic Demands ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:31.286110Z

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.

source=pdf_text observed=2026-05-10T06:12:46.899179Z digest=sha256:336749860f951432f2e6052793656173133ceca36204d34ff492ad56aa1d3db1