Paper Citation Record · LEDGER

Agentic Reasoning for Large Language Models

As of 6 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 40 inbound Pith citation observations for arXiv:2601.12538.

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

pith.paper-citation-record.v1
2601.12538 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T15:14:25.558878Z

measured 140 of 140 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:21:30.797160Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 300 outbound references displayed

verified exact63
verified fuzzy34
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1a524457-23fd-4ea9-a51f-27b1339fa111 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.

Agentic Reasoning for Large Language Models Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.878297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b78b3f6f-ada9-4f43-be2c-a58458945612 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Agentic Reasoning for Large Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.775220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a7d85888-507e-4ffa-838f-4c88edeff19b · outbound

This paper cites Pal: Program-aided language models.

Agentic Reasoning for Large Language Models Pal: Program-aided language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.975301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b4cf975-6e6a-4860-9a41-d78ec900194b · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822.

Agentic Reasoning for Large Language Models Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.952446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a62a3308-4609-4059-ab03-69de37509e7b · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Agentic Reasoning for Large Language Models React: Synergizing reasoning and acting in language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.936492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 75c91e70-9e68-419f-9921-e54eed6b5246 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551.

Agentic Reasoning for Large Language Models Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.931708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 515f29bb-ce7f-457f-be84-ee8056af87a8 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180.

Agentic Reasoning for Large Language Models Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.940992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 145aa674-e0c6-4d79-8803-8a0f58f4f736 · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345.

Agentic Reasoning for Large Language Models A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.918247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b7d6ee4e-bb8e-498c-a010-ad7ed1150149 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

Agentic Reasoning for Large Language Models Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.781204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dfccf5fa-8ffa-4326-8ae9-b4d1fd8dca03 · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation for Large Language Models.

Agentic Reasoning for Large Language Models A Survey on Retrieval-Augmented Text Generation for Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.786152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c2140d99-5dea-4122-97d1-80715db500f6 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Agentic Reasoning for Large Language Models OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.790886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07f7bc4d-b567-4667-918c-c5b22f13a148 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Agentic Reasoning for Large Language Models Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.796564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b3968af-c110-44cb-8789-f5fb48c91e66 · outbound

This paper cites MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models.

Agentic Reasoning for Large Language Models MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.802079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e226316-265a-4f1e-9b7f-4e966b57804e · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652.

Agentic Reasoning for Large Language Models Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.891293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac9f726e-2a40-4108-b002-f56f004108a8 · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

Agentic Reasoning for Large Language Models Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T15:14:25.806772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a6df40a5-c79a-4190-abdc-eddb92f37813 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Agentic Reasoning for Large Language Models AutoAgents: A Framework for Automatic Agent Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.812027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e95802d1-9c22-4be3-a3ed-e76aeafbabcd · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework.

Agentic Reasoning for Large Language Models MetaGPT: Meta programming for a multi-agent collaborative framework

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.886489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ca004b1e-a999-4177-a674-515a2a266b72 · outbound

This paper cites Unleashing cogni- tive synergy in large language models: A task-solving agent through multi-persona self-collaboration.

Agentic Reasoning for Large Language Models Unleashing cogni- tive synergy in large language models: A task-solving agent through multi-persona self-collaboration

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.872834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8810323f-30ad-4717-974d-a0aca85c4436 · outbound

This paper cites BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems.

Agentic Reasoning for Large Language Models BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.817356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa9d5eb8-628c-489b-8b13-8012c571c1be · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Agentic Reasoning for Large Language Models AgentBench: Evaluating LLMs as Agents

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.741724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8d35b3e5-4ab4-4ab1-a102-a5fa0cdcab1c · outbound

This paper cites MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.

Agentic Reasoning for Large Language Models MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.748174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b11fd33-dd63-407c-971f-735c63c09150 · outbound

This paper cites Tree-of-code: A self-growing tree framework for end-to-end code generation and execution in complex tasks.

Agentic Reasoning for Large Language Models Tree-of-code: A self-growing tree framework for end-to-end code generation and execution in complex tasks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.944895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d4c96ae9-d7e9-412b-abf5-8f4e99820d8c · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Agentic Reasoning for Large Language Models Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.753232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 626783b4-e981-4e01-8e31-a9baed1a5d9e · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Agentic Reasoning for Large Language Models A-MEM: Agentic Memory for LLM Agents

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.759591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0837b2ba-1b6a-4925-a54d-0c4e790718f1 · outbound

This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

Agentic Reasoning for Large Language Models Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.765131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 71e1554f-af61-4307-913e-2794387c455f · outbound

This paper cites Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning.

Agentic Reasoning for Large Language Models Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.545520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fbcc1997-e7d8-466d-aa09-e63ffe3eb9c9 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Agentic Reasoning for Large Language Models Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.443702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2f6f48d-bad7-4196-93ca-305b0456ae3a · outbound

This paper cites Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning.

Agentic Reasoning for Large Language Models Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.448890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 047bb391-d216-422c-ab31-b302aeec5613 · outbound

This paper cites Solving olympiad geometry without human demonstrations.Nature, 625(7995):476–482.

Agentic Reasoning for Large Language Models Solving olympiad geometry without human demonstrations.Nature, 625(7995):476–482

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.576879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a1320889-7ad9-4be6-80c1-b7a2b5e249e6 · outbound

This paper cites Mathematical discoveries from program search with large language models.Nature, 625(7995): 468–475.

Agentic Reasoning for Large Language Models Mathematical discoveries from program search with large language models.Nature, 625(7995): 468–475

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.580896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7ea8910f-9596-4cde-ab36-d20d521dc005 · outbound

This paper cites Vibe coding vs.

Agentic Reasoning for Large Language Models Vibe coding vs

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.584358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a85b3329-4a03-4478-bbb2-a9a00578e630 · outbound

This paper cites Vibe coding — wikipedia.https://en.wikipedia.org/wiki/Vibe_coding.

Agentic Reasoning for Large Language Models Vibe coding — wikipedia.https://en.wikipedia.org/wiki/Vibe_coding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.587582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 98bc61c5-e7e9-4bda-9cc3-64bcde81b545 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

Agentic Reasoning for Large Language Models ChemCrow: Augmenting large-language models with chemistry tools

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.453637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 289eb546-fde2-47b2-a8c6-9eb4cb888de0 · outbound

This paper cites Physical AI Agents: Integrating Cognitive Intelligence with Real-World Action.

Agentic Reasoning for Large Language Models Physical AI Agents: Integrating Cognitive Intelligence with Real-World Action

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.458987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ed8c7e5-dca0-4884-8282-5196d78b4d22 · outbound

This paper cites MatExpert: Decomposing Materials Discovery by Mimicking Human Experts.

Agentic Reasoning for Large Language Models MatExpert: Decomposing Materials Discovery by Mimicking Human Experts

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.464103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2dbaa7fa-fb88-49b7-b030-fa458bd25f92 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Agentic Reasoning for Large Language Models Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.469234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a0975d9-af2e-44fa-a7ce-9ecbe8bf1ab6 · outbound

This paper cites EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning.

Agentic Reasoning for Large Language Models EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.474243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0ee42fed-5050-4d55-bee3-a03fc5841317 · outbound

This paper cites Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning.

Agentic Reasoning for Large Language Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.479628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 952e444e-bda9-4d1e-b574-25ff45dea72b · outbound

This paper cites MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

Agentic Reasoning for Large Language Models MMedAgent: Learning to Use Medical Tools with Multi-modal Agent

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.484089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a046da27-6517-40c2-b3c6-a1c8efe73d08 · outbound

This paper cites Biomni: A general-purpose biomedical ai agent.biorxiv.

Agentic Reasoning for Large Language Models Biomni: A general-purpose biomedical ai agent.biorxiv

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.613015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f72f640-5da7-411a-8b93-0bb0027215af · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

Agentic Reasoning for Large Language Models WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:37:09.773663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52f1a5c1-0577-4794-9968-9a2f9f95dafc · outbound

This paper cites SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.

Agentic Reasoning for Large Language Models SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.493464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 69e75777-505b-4652-a24d-eb0e4f638139 · outbound

This paper cites Agentic AI: A Conceptual Taxonomy, Applications and Challenges.

Agentic Reasoning for Large Language Models Agentic AI: A Conceptual Taxonomy, Applications and Challenges

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.498363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 693421ce-ab21-4433-9987-f8f82d6112a9 · outbound

This paper cites A dynamic llm-powered agent network for task-oriented agent collaboration.

Agentic Reasoning for Large Language Models A dynamic llm-powered agent network for task-oriented agent collaboration

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.626273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c4344bf-7e94-423d-9564-26146fd6f3d1 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Agentic Reasoning for Large Language Models WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T15:14:26.502931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 50dfcc78-15e6-4bc6-92d0-6151d5be9b6d · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

Agentic Reasoning for Large Language Models VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:20:36.653799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb86df3c-d0de-4b97-96e5-67fa66b42386 · outbound

This paper cites VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks.

Agentic Reasoning for Large Language Models VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.512642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 37c84e52-5ebe-44a8-b1e7-236473722070 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Agentic Reasoning for Large Language Models ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.517220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ea59da53-e623-48e7-8b86-03b02a080e3f · outbound

This paper cites Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114.

Agentic Reasoning for Large Language Models Mind2web: Towards a generalist agent for the web.Advances in Neural Information Processing Systems, 36:28091–28114

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:26.644293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3bb3d08-19c1-465f-90d4-006f1ecf22dc · outbound

This paper cites Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge.

Agentic Reasoning for Large Language Models Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.522389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa71ba02-ece4-4ccd-af36-69ee2b4b4b21 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

Agentic Reasoning for Large Language Models Towards Reasoning in Large Language Models: A Survey

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:22:30.236738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df077d39-810c-4bca-8793-78114fcd31fe · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Agentic Reasoning for Large Language Models Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.531951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1989dfcf-bbe4-46fc-9813-b7fadf92f9ad · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Agentic Reasoning for Large Language Models Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:26.536535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05061b00-6a5b-4860-918e-c500b3ba3e1e · outbound

This paper cites https://arxiv.org/abs/2504.09037.

Agentic Reasoning for Large Language Models https://arxiv.org/abs/2504.09037

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.541446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2dd15c0e-5e12-409b-8f38-7b1e4bdb921f · outbound

This paper cites A Survey of Reinforcement Learning for Large Reasoning Models.

Agentic Reasoning for Large Language Models A Survey of Reinforcement Learning for Large Reasoning Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.511734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1ee493e-32f3-4ecb-b41d-38c9b4c1c565 · outbound

This paper cites The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Agentic Reasoning for Large Language Models The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.827351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e9a8cef4-ded1-4b46-84d3-68c83d2ed222 · outbound

This paper cites A comprehensive survey on reinforcement learning-based agentic search: Foundations, roles, optimizations, evaluations, and applications.

Agentic Reasoning for Large Language Models A comprehensive survey on reinforcement learning-based agentic search: Foundations, roles, optimizations, evaluations, and applications

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.832715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24a1e75f-a958-4516-83bf-87a36c4af8e1 · outbound

This paper cites A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.

Agentic Reasoning for Large Language Models A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.837390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d44f76b-1c64-484b-a754-c9b71fde98d3 · outbound

This paper cites A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence.

Agentic Reasoning for Large Language Models A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.842301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 477bbfe5-1f93-448f-ba75-d3a1c7a94d9d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Agentic Reasoning for Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.846688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8101ce10-2b7b-4ad2-ad1d-c76b4a8d9052 · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

Agentic Reasoning for Large Language Models DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.851932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a7a8c2b-eb0a-48ff-b07b-90f8923253eb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Agentic Reasoning for Large Language Models Proximal Policy Optimization Algorithms

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.856335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation afbc1ba9-375a-493f-a97f-b73bc8066d54 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Agentic Reasoning for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.860967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f7a6fa83-59c1-42f8-bd82-ecc76dcd26e5 · outbound

This paper cites ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay.

Agentic Reasoning for Large Language Models ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.866371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ba1dfd94-6f78-48b2-b413-002fc0373170 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Agentic Reasoning for Large Language Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.871086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f76d5ae-0e2c-49c5-b801-037720520a9a · outbound

This paper cites Autogen: Enabling next-gen LLM applications via multi-agent conversations.

Agentic Reasoning for Large Language Models Autogen: Enabling next-gen LLM applications via multi-agent conversations

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.854238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be8d73e8-9c1c-434a-8201-d5c22116ffcf · outbound

This paper cites Camel: Commu- nicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008.

Agentic Reasoning for Large Language Models Camel: Commu- nicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.948485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd123ca3-d994-4899-9791-ac1a8ea08215 · outbound

This paper cites Gptswarm: Language agents as optimizable graphs.

Agentic Reasoning for Large Language Models Gptswarm: Language agents as optimizable graphs

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.868550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f6ad5c8-fc98-48a8-a888-f626652e95e2 · outbound

This paper cites Multi-agent deep research: Training multi-agent systems with m-grpo.

Agentic Reasoning for Large Language Models Multi-agent deep research: Training multi-agent systems with m-grpo

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.876357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9bed2f78-786f-454d-b966-77901a08d2b9 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Agentic Reasoning for Large Language Models AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.880979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d966776-fbca-43c1-83e8-a03402af783b · outbound

This paper cites ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models.

Agentic Reasoning for Large Language Models ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.885711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f6e0fb6-ca51-492b-8080-3ba94ae9539e · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Agentic Reasoning for Large Language Models LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:14:25.890806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2310e2d4-d8ac-4f5a-b380-bea53fc7e5ef · outbound

This paper cites On the planning abilities of large language models: A critical investigation.Advances in Neural Information Processing Systems, 36:75993–76005.

Agentic Reasoning for Large Language Models On the planning abilities of large language models: A critical investigation.Advances in Neural Information Processing Systems, 36:75993–76005

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.913734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d53421ae-8df2-400e-b137-b129b8ad2c0c · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Agentic Reasoning for Large Language Models Graph of thoughts: Solving elaborate problems with large language models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.896117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f06c75d5-4931-4885-811a-12234061a29d · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Agentic Reasoning for Large Language Models Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.896262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52167bd2-dda9-484d-b306-17b7197c2efc · outbound

This paper cites HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.

Agentic Reasoning for Large Language Models HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.901737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 26f71b9d-ad91-4084-834d-b3d50183cc9f · outbound

This paper cites Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.

Agentic Reasoning for Large Language Models Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.907040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 18213d82-ffa2-43a2-a4c2-8aafbc5d062d · outbound

This paper cites Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565.

Agentic Reasoning for Large Language Models Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.963497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a2fd0e1-fe33-4992-8742-dda74e6b9906 · outbound

This paper cites CodeNav: Beyond tool-use to using real-world codebases with LLM agents.

Agentic Reasoning for Large Language Models CodeNav: Beyond tool-use to using real-world codebases with LLM agents

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.912092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1eb18c7f-c0c5-42c5-a7a3-c2a9b2ff0c44 · outbound

This paper cites Plan-on-graph: Self-correcting adaptive planning of large language model on knowledge graphs.Advances in Neural Information Processing Systems, 37:37665–37691.

Agentic Reasoning for Large Language Models Plan-on-graph: Self-correcting adaptive planning of large language model on knowledge graphs.Advances in Neural Information Processing Systems, 37:37665–37691

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.864069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f82ad0f7-6aa5-416b-89a6-2006546c9daf · outbound

This paper cites Tool-planner: Task planning with clusters across multiple tools.

Agentic Reasoning for Large Language Models Tool-planner: Task planning with clusters across multiple tools

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.922136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a2864974-fbe4-46ca-934b-f2acc5a7231e · outbound

This paper cites VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning.

Agentic Reasoning for Large Language Models VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.917300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 253944fa-3654-44a3-9783-dc5df7709ecd · outbound

This paper cites Llm- planner: Few-shot grounded planning for embodied agents with large language models.

Agentic Reasoning for Large Language Models Llm- planner: Few-shot grounded planning for embodied agents with large language models

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.859003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 604738bc-dc2e-4590-9e01-dfba63ecdc01 · outbound

This paper cites Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems.

Agentic Reasoning for Large Language Models Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.922405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b1f6599-68bb-426f-891e-47838a7f4d51 · outbound

This paper cites Agent S: An Open Agentic Framework that Uses Computers Like a Human.

Agentic Reasoning for Large Language Models Agent S: An Open Agentic Framework that Uses Computers Like a Human

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.928252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1f98031f-e9ff-428d-a091-b46156355964 · outbound

This paper cites Exploratory retrieval-augmented planning for continual embodied instruction following.Advances in Neural Information Processing Systems, 37: 67034–67060.

Agentic Reasoning for Large Language Models Exploratory retrieval-augmented planning for continual embodied instruction following.Advances in Neural Information Processing Systems, 37: 67034–67060

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.967392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ba8a187b-d962-4c33-bd57-c75e0b1cabd3 · outbound

This paper cites Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

Agentic Reasoning for Large Language Models Real-Time Anomaly Detection and Reactive Planning with Large Language Models

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.933475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9fd8e3de-5812-4aa6-a2e6-6f7a2723143e · outbound

This paper cites Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification.

Agentic Reasoning for Large Language Models Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.938596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 21ff2849-e615-4eb8-bdc8-a6583e912f48 · outbound

This paper cites Behaviorgpt: Smart agent simulation for autonomous driving with next-patch prediction.Advances in Neural Information Processing Systems, 37:79597–79617.

Agentic Reasoning for Large Language Models Behaviorgpt: Smart agent simulation for autonomous driving with next-patch prediction.Advances in Neural Information Processing Systems, 37:79597–79617

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.882609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa16941f-6e13-4fd2-8176-26774831562f · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Agentic Reasoning for Large Language Models DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-17T16:06:10.055251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 88bad030-cef4-49a2-8c5c-521d4c29ca65 · outbound

This paper cites FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model.

Agentic Reasoning for Large Language Models FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.948880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f9d87b1-3ff6-4748-b7ec-2b9c192057a0 · outbound

This paper cites LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models.

Agentic Reasoning for Large Language Models LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.954129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32f98ada-9a9b-42ac-9d26-b22d0dbdb373 · outbound

This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models.

Agentic Reasoning for Large Language Models Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.904762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eb52c38c-3bab-4c56-a8d6-6064878a67aa · outbound

This paper cites Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.

Agentic Reasoning for Large Language Models Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.958624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c271e9b-acc5-405d-840c-61878138eddf · outbound

This paper cites Peria: Perceive, reason, imagine, act via holistic language and vision planning for manipulation.Advances in Neural Information Processing Systems, 37:17541–17571.

Agentic Reasoning for Large Language Models Peria: Perceive, reason, imagine, act via holistic language and vision planning for manipulation.Advances in Neural Information Processing Systems, 37:17541–17571

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.909471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb6d3f26-ab5b-49d9-8a92-f0acd88ef44a · outbound

This paper cites Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

Agentic Reasoning for Large Language Models Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:32:18.834213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6726f689-4f00-4e27-864b-e56de61f09e2 · outbound

This paper cites Codeplan: Unlocking reasoning potential in large language models by scaling code-form planning.

Agentic Reasoning for Large Language Models Codeplan: Unlocking reasoning potential in large language models by scaling code-form planning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.841241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e771ed09-0473-4a9a-84a3-0f653f27080b · outbound

This paper cites WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents.

Agentic Reasoning for Large Language Models WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.968735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 095cafb2-e7e4-4b15-9bbf-2f43dcf2ba3d · outbound

This paper cites Executable code actions elicit better llm agents.

Agentic Reasoning for Large Language Models Executable code actions elicit better llm agents

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:14:48.900833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8972082d-5a09-49e5-b6a5-ae53779d5a6e · outbound

This paper cites MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing.

Agentic Reasoning for Large Language Models MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:25.973783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 4f49b958-1d8d-4e41-b015-7a0e10e19c9b · inbound

A Dual-Helix Governance Approach Towards Reliable Agentic Artificial Intelligence for WebGIS Development cites this paper.

A Dual-Helix Governance Approach Towards Reliable Agentic Artificial Intelligence for WebGIS Development Agentic Reasoning for Large Language Models

Reference 1937

Resolution: unresolved; no resolver link, observed 2026-08-02T18:53:59.134929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53339e83-66e6-4fe9-8922-9c8dd67d19b3 · inbound

Exploring Robust Multi-Agent Workflows for Environmental Data Management cites this paper.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Agentic Reasoning for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T16:57:53.530022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2f988d0-3f96-4ab1-9b6b-1699e9b9689b · inbound

ActionNex: A Virtual Outage Manager for Cloud Computing cites this paper.

ActionNex: A Virtual Outage Manager for Cloud Computing Agentic Reasoning for Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ff82e728-c313-46d9-8e04-4dc9ac9c72f7 · inbound

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing cites this paper.

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing Agentic Reasoning for Large Language Models

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e47f441-76e1-4bc3-88c8-53f6321f3a77 · inbound

Agentic Frameworks for Reasoning Tasks: An Empirical Study cites this paper.

Agentic Frameworks for Reasoning Tasks: An Empirical Study Agentic Reasoning for Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fdc29134-1963-424d-9e55-cd9ec5366838 · inbound

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent cites this paper.

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent Agentic Reasoning for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c7722e7-e88b-4fbf-8294-51a027b1eb80 · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation Agentic Reasoning for Large Language Models

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2a1246a2-3b8d-4926-ad7d-4e7eb7f09020 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Agentic Reasoning for Large Language Models

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7dbd6ff7-4504-4382-9358-c94d569d3658 · inbound

TDD Governance for Multi-Agent Code Generation via Prompt Engineering cites this paper.

TDD Governance for Multi-Agent Code Generation via Prompt Engineering Agentic Reasoning for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c8b9410e-d4ee-4ae0-9b14-f723cfa5c527 · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration Agentic Reasoning for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0be6aae9-97f1-4146-9838-b293b87430c4 · inbound

Confidence Estimation in Automatic Short Answer Grading with LLMs cites this paper.

Confidence Estimation in Automatic Short Answer Grading with LLMs Agentic Reasoning for Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5dfe8596-c97a-4bdf-98f4-59205aa5596c · inbound

Confidence Estimation in Automatic Short Answer Grading with LLMs cites this paper.

Confidence Estimation in Automatic Short Answer Grading with LLMs Agentic Reasoning for Large Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dae53552-c71f-4f20-bfb1-26a45aeb51a8 · inbound

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces cites this paper.

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces Agentic Reasoning for Large Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d475e552-e1fd-4b97-8430-55d90e8a1ed2 · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning Agentic Reasoning for Large Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b37489f-0f23-4811-b543-67d0f5ab7ceb · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning Agentic Reasoning for Large Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e8928110-a631-42d4-8476-23f031968c5b · inbound

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning cites this paper.

Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning Agentic Reasoning for Large Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 23910d93-2be7-4bcc-8951-44d01598a565 · inbound

M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models cites this paper.

M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models Agentic Reasoning for Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 29c2203f-6d93-45a5-a241-3e46ea130189 · inbound

The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions cites this paper.

The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions Agentic Reasoning for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f9d25609-d38b-42b2-8332-d678f8004c54 · inbound

Learning Agentic Policy from Action Guidance cites this paper.

Learning Agentic Policy from Action Guidance Agentic Reasoning for Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ebd37ab4-27f5-4588-8463-a80945ff8ec8 · inbound

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning cites this paper.

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning Agentic Reasoning for Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c121c2f6-f30d-4d24-905e-76e16eba5c72 · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agentic Reasoning for Large Language Models

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T15:14:26.657956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0959e00a-2a79-4d39-bbed-43218083d110 · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents Agentic Reasoning for Large Language Models

Reference 100

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:23:43.249036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d50181a9-f33e-475c-9d4a-b1f5c2de89f2 · inbound

SEAL: Synergistic Co-Evolution of Agents and Learning Environments cites this paper.

SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agentic Reasoning for Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-30T13:44:40.887501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5f34bee-a990-4340-adb6-07abe80f2334 · inbound

AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes cites this paper.

AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes Agentic Reasoning for Large Language Models

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:46:20.136495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eea68090-2d47-4bb0-9f6f-09a8aa07611c · inbound

Adaptive Latent Agentic Reasoning cites this paper.

Adaptive Latent Agentic Reasoning Agentic Reasoning for Large Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T23:26:22.276111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a5ad477-2db1-4763-8d54-b820dcc3868e · inbound

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning cites this paper.

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning Agentic Reasoning for Large Language Models

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:36:29.884087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8a601860-9683-447d-acd8-68456e319a80 · inbound

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents Agentic Reasoning for Large Language Models

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T07:56:47.744780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8be65db4-28ea-48bf-982b-fca614b9bafc · inbound

Co-Evolving Skill Generation and Policy Optimization cites this paper.

Co-Evolving Skill Generation and Policy Optimization Agentic Reasoning for Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:47:26.432494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 000b949f-56ad-4a42-b27f-8dc7114f7f00 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Agentic Reasoning for Large Language Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-27T09:50:48.417435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 463236a3-0639-412c-93b7-7363b3de8256 · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Agentic Reasoning for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:20.280274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18dce63b-2f32-4b4b-89b1-647f753d5064 · inbound

Critique of Agent Model cites this paper.

Critique of Agent Model Agentic Reasoning for Large Language Models

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:29:51.078377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0baad184-0cc3-4624-b9a2-34fcc0900a47 · inbound

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming cites this paper.

Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming Agentic Reasoning for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-15T10:12:25.518134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdc4444-cc68-481c-b4a2-62a4d8ededa6 · inbound

Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers cites this paper.

Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers Agentic Reasoning for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T05:42:25.080053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67fc772-ec5e-4d18-aaff-22a570ddd1bc · inbound

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs cites this paper.

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs Agentic Reasoning for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T08:35:52.722378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 771c193b-97fe-4540-b906-4d3511c68ff6 · inbound

PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning cites this paper.

PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning Agentic Reasoning for Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T07:34:38.402726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c871051c-eac8-464e-be0f-4efce5de4c16 · inbound

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning cites this paper.

ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning Agentic Reasoning for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T02:44:32.776319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7984be7-cde4-425b-84f7-62d238b8de45 · inbound

From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents cites this paper.

From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents Agentic Reasoning for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-31T22:51:51.068384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb919e86-b822-483c-8c31-fbac9a3df7f0 · inbound

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems cites this paper.

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems Agentic Reasoning for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:44.590655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d797120a-9437-4edf-b3ab-6a5f31c708a0 · inbound

The Formalism Trap: Are LLM-as-a-Judge Evaluators Blinded by Consensus Mimicry under Social Load? cites this paper.

The Formalism Trap: Are LLM-as-a-Judge Evaluators Blinded by Consensus Mimicry under Social Load? Agentic Reasoning for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T00:53:53.673264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55881379-5aca-4698-bd96-58c9b832e468 · inbound

VC-Tooler: Learning Compositional and Adaptive Visual Tool Use cites this paper.

VC-Tooler: Learning Compositional and Adaptive Visual Tool Use Agentic Reasoning for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T11:21:30.797160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.