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Paper Citation Record · LEDGER

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2501.10893.

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

pith.paper-citation-record.v1
2501.10893 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:01:12.425778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:29:53.362828Z

Reference resolution

0 of 0 outbound references displayed

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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 5b095f0b-45bf-4d4e-947a-e7739f6127e5 · inbound

Language Games as the Pathway to Artificial Superhuman Intelligence cites this paper.

Language Games as the Pathway to Artificial Superhuman Intelligence Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 1954

Resolution
unresolved
no resolver link, observed 2026-08-09T22:01:12.425778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:01:12.425778Z digest=sha256:ae812831a270feebe9a2990539618479074cb8f6ac76d937bfd23e29ab00369d

Observation 0460e1eb-7f3d-4144-a1d2-0678dfa6110a · inbound

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users cites this paper.

MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 66

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no resolver link, observed 2026-08-09T10:29:38.530833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:29:38.530833Z digest=sha256:a0c82759a6b0cd6ffabad2c3de72822d0f710323ca650da393430dc5872b4163

Observation 1825e5ef-3bb1-4093-97cc-a0794f6c12b2 · inbound

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios cites this paper.

Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 60

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verified exact
arxiv_id, observed 2026-05-23T00:52:19.425631Z

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=2026-05-23T00:50:05.344148Z digest=sha256:6deb9b8c53577fab030932fd7523bfe1e51a6c18660c93184da593f52c4ee655

Observation 86700e7c-c2ee-4b5f-9b9a-219f98151849 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 130

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:11.093494Z

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=2026-05-22T21:39:49.832151Z digest=sha256:62d4bfec70ee1896987acb8ab9650e19b1c2e8c5785d4b9470eee55f2f0b9d44

Observation ce303f63-8f69-4e24-bb90-c7562098b88e · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 40

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verified exact
arxiv_id, observed 2026-05-15T02:57:38.239765Z

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=2026-05-15T02:57:37.873567Z digest=sha256:b0a7896296024c0ca5128b3aa2707f41cf94a69a3e8c3838eaa20594f89447a6

Observation 4d9b76c8-9960-47b9-be10-45432f713830 · inbound

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 39

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unresolved
no resolver link, observed 2026-08-07T14:47:34.982134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:34.982134Z digest=sha256:577ba332a5028f47fbc803089033907acf1c45bfe8a80afb807a75f629006b1d

Observation 3eb32102-56d0-490f-a9e5-92e377d9949e · inbound

ProgRM: Build Better GUI Agents with Progress Rewards cites this paper.

ProgRM: Build Better GUI Agents with Progress Rewards Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 22

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unresolved
no resolver link, observed 2026-08-07T14:37:47.108403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:47.108403Z digest=sha256:705d27c040f07e4f0d77df9d7615506108c97851f0b4d9774f9487d657b78490

Observation 62ff27eb-0e46-4fbd-9f8f-ff42e9ce7b63 · 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 Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 33

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no resolver link, observed 2026-08-07T13:32:46.994102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:46.994102Z digest=sha256:234e55af7fbb933a17ba3c813279d650a3b569e1f275b1818c4e4f624445c219

Observation ba78255a-5eb4-47a1-95e4-33852fa53471 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:56.046550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:56.046550Z digest=sha256:68ebc2888198045083f8fb2a817f11268132e14ec734795926a99889bb2a0d8c

Observation 82ce7764-72c6-4eba-b8f9-e75bc4f81d44 · 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 Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:56.118004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:30:56.118004Z digest=sha256:2b0da861510592d12848b9389259c9f53bd8a78a5ba912eb40de99788097284e

Observation 8b0a85f7-4010-4bf3-b6b3-e4b09458b69c · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:02:16.654532Z

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=2026-05-19T12:01:42.681135Z digest=sha256:d460176023cf27d6b0fe96616488263683e0679496ceab0fc5b5397fcc93063a

Observation 86ac7cf5-2243-411a-8a22-63e118e12f77 · inbound

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:28.855289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:28.855289Z digest=sha256:5e4382494103c7cbd228f1ef9a1285a50a82ffa9d484611eb9d215091cf962ff

Observation 54e2a325-7689-47e1-acb8-f84bcc392bd8 · inbound

Contextual Experience Replay for Self-Improvement of Language Agents cites this paper.

Contextual Experience Replay for Self-Improvement of Language Agents Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 4

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unresolved
no resolver link, observed 2026-08-07T05:56:47.336287Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:47.336287Z digest=sha256:03204e1bd3aba5ce5b5c6f10126789d72abe80e81cd9efe625a3be51e3161b0d

Observation 7d7fb0f8-0099-41bb-b17b-ec095a7d0434 · 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 Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 66

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no resolver link, observed 2026-08-07T05:27:50.185457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:50.185457Z digest=sha256:6fd31ac875bf00792586737572cf00288cccecee534e9da7a5041aae88e2d59f

Observation ccae596f-1585-4b59-8a4e-918da8565249 · inbound

Context manipulation attacks : Web agents are susceptible to corrupted memory cites this paper.

Context manipulation attacks : Web agents are susceptible to corrupted memory Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:58.476318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:58.476318Z digest=sha256:e9bb9f52ffca0ea6d8a47915a4b33d2d97b8dc869f8cba0d888ec01f92e7f43f

Observation 98bfbb10-97bd-4952-954a-b2f5a33dd205 · inbound

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

WebGuard: Building a Generalizable Guardrail for Web Agents Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:50.409392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:50.409392Z digest=sha256:4cee079804f603d976443f5a903837561b805590fcf769c815ccce198c825ce8

Observation 76a08c2d-5671-4da3-b5fb-5504f3573c6b · inbound

Cognitive Duality for Adaptive Web Agents cites this paper.

Cognitive Duality for Adaptive Web Agents Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 34

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unresolved
no resolver link, observed 2026-08-05T23:36:22.610172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:36:22.610172Z digest=sha256:39d3f116b39877f5f7271aa5c9a252a8083b439ef8e845d209cd161eb1785179

Observation 3b04eb56-2391-4aa3-92c1-7eb63fc7a2cd · inbound

Agent Learning via Early Experience cites this paper.

Agent Learning via Early Experience Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T10:48:03.400830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:48:03.400830Z digest=sha256:7f6654b139cc5960da21143d3f77a2e1ed05572acc4b55eab61878951f979815

Observation f34256b5-d1c3-4530-a970-0f95b022aaca · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 27

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verified exact
arxiv_id, observed 2026-05-10T12:10:23.455390Z

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=2026-05-10T04:36:27.381942Z digest=sha256:2fcd26e7be5c01e3be9b663aafed44b7c694b9ac0fef7607c2445312037f879a

Observation 2c97c611-f828-412b-b4f8-9130931546b5 · inbound

Step Rejection Fine-Tuning: A Practical Distillation Recipe cites this paper.

Step Rejection Fine-Tuning: A Practical Distillation Recipe Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 2

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arxiv_id, observed 2026-05-12T07:06:35.441302Z

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=arxiv_source observed=2026-05-12T03:44:33.525966Z digest=sha256:5df6b8f014121f52cbed770b319a4ffeab101d99d40d76197dd4a35b32c997c4

Observation 7e3f2b7f-3b53-44f0-825b-2639b4a9ffd7 · inbound

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration cites this paper.

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 21

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verified exact
arxiv_id, observed 2026-07-01T19:36:08.843651Z

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=2026-06-28T22:18:15.244033Z digest=sha256:2cf0ae5f3a29ee8525debd939fe52651b34d50e05f3b58a0655bd7c6e588c20a

Observation 731e3fc0-afdf-4757-9bd1-4ec1b37d7e34 · inbound

Benchmark Everything Everywhere All at Once cites this paper.

Benchmark Everything Everywhere All at Once Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:46:59.077010Z

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=2026-06-28T01:03:52.964870Z digest=sha256:203a5a7ac6461f7d804abd2a571102700988ae3ae8c6ac21ea6dde9d2852c1ac

Observation f299f7e9-0391-4444-8d35-0d87d14ff044 · inbound

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning cites this paper.

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 47

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metadata mismatch
arxiv_id, observed 2026-07-04T14:29:53.364863Z

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=arxiv_source observed=2026-06-26T03:51:51.827622Z digest=sha256:a719fcc5c63e6b87e11318ca041f26091ba4c80adac9a821d804816f1405cafc

Observation 59def133-61dd-43f6-a31f-3f7b2595a896 · inbound

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning cites this paper.

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T00:45:31.714350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:45:31.714350Z digest=sha256:117e19b771bddf92492dbebabae827a9d440866d0a3357f51f104d7a9ab27e5d

Observation 9ee387d9-a80f-4e43-8ee9-e6266639ad28 · inbound

WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks cites this paper.

WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 48

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no resolver link, observed 2026-08-05T17:56:50.007523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:56:50.007523Z digest=sha256:a301f9f005beb5316538757d553122f6677d755987623b2bde7761087732a926