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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:39.287913Z

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 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:d4747a5dc2707feed44a88c1359bb19bd62d43ef3b92b24627f4ee1fccb6a596

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=sha256:9a40629605b96f8df2e613247a5e4a162a097f2a391819ad57e8453807c8e377

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=sha256:9f8fa93fc38e2b029ac75d71a27d2ec59af019178064abcad1e53e8aee720b68

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=sha256:740fb82fcb306ecb6f8ec7e66469baf11c725f8ee0270ddc73dea0c69e01b191

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:d4566dd337265dee721adbf1d382adbbefbf93781b8c7878359a42650e228e44

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:a758c71a60d8ce29535c76efa88295c14a79a98852c6550985c3d3ba28ed79aa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:33:30.444057Z digest=sha256:fbdfbbc10b422fe061c04cac35b3079fe4c006ca0c73e808da1f00e1a210c2bd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T22:09:30.370382Z digest=sha256:a2409637451018d966a51e8245d0d7a0aa233d358d33b5890ab84f4346d40036

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=sha256:3440e2979b6ead5c1f0f92a35205a85317e651c65e4a0dbfd77c60286813f902

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T06:12:46.899179Z digest=sha256:f2fa5c345dec28b8577571e1c8f0b7bc9fc5581221fed057864e6800afe7a776