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Paper Citation Record · LEDGER

ReAct: Synergizing Reasoning and Acting in Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2210.03629.

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

pith.paper-citation-record.v1
2210.03629 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 100 of 1276 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:44.365078Z

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

0 of 0 outbound references displayed

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  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

555
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6dadc203-1607-451d-93c4-daa252f14b80 · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 44

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local_arxiv, observed 2026-05-15T05:02:50.182443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T05:02:50.117120Z digest=sha256:5bd6fa8ea3caa2892b66a325108a9c0b6936253a8ccff4cb59a53723697371dd

Observation 3310b8bc-69a6-48d2-a718-c1b1a265fd28 · inbound

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action cites this paper.

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action ReAct: Synergizing Reasoning and Acting in Language Models

Reference 34

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local_arxiv, observed 2026-05-14T01:17:58.831780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T01:17:58.678036Z digest=sha256:df35d0c81e8ee22e4be041cec0f04ec33c9d3d3f2156daca1d4220eaea98a85c

Observation d257595c-0b09-4c5c-8abc-b792c7322754 · inbound

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

ChemCrow: Augmenting large-language models with chemistry tools ReAct: Synergizing Reasoning and Acting in Language Models

Reference 43

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local_arxiv, observed 2026-05-15T19:05:23.048930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T19:05:22.921088Z digest=sha256:d74247cd64308be26b5fbc7c585296c384eb6af4b3e3e8b39504e8973b427704

Observation f235feca-3722-451c-9108-83b41a289ca4 · inbound

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs cites this paper.

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 19

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local_arxiv, observed 2026-05-15T20:51:41.264870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T20:51:41.198767Z digest=sha256:aad0dfe20c2de1add191dd9efa0b2e86fb182065c5a4057cfe379e8bf6af23fd

Observation b0ac9b4a-d1ff-4fe5-8e5b-9f62fec45877 · inbound

Tree of Thoughts: Deliberate Problem Solving with Large Language Models cites this paper.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:36:43.225010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T15:36:42.284829Z digest=sha256:01b42d44c56e41d5103d76fb47b098fb4b6ad4f74b4e67b97df0d9564ab1d88a

Observation 47fac2d1-cc2b-4220-9c84-10825e798772 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-11T23:22:17.184807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:4011c5e4c47d5577856074496f07a441ab2abc660a8a3edfd0f420057fe78391

Observation e1693cb8-2822-4a85-82b0-54f9b995dfbb · inbound

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

Voyager: An Open-Ended Embodied Agent with Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 29

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verified exact
local_arxiv, observed 2026-05-10T13:11:41.206536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:3c0c7215a36084c648a1ff304fa56a1375066fd941a61b446445847b682798cc

Observation 9546a7a1-9839-4875-8ab6-cd502a94caee · inbound

Mind2Web: Towards a Generalist Agent for the Web cites this paper.

Mind2Web: Towards a Generalist Agent for the Web ReAct: Synergizing Reasoning and Acting in Language Models

Reference 42

Resolution
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local_arxiv, observed 2026-05-15T20:05:16.183366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T20:05:15.992207Z digest=sha256:fd75c31f1c4054d896744f836bafebc42de6bf115d28ca917ecee23cbc8a5916

Observation b7bb1c15-12ab-4076-9c5b-137093c58cd5 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 92

Resolution
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local_arxiv, observed 2026-05-16T19:33:44.251259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:efd85bef997e8d69923af228aee2be6b87732da9b60dd2efcae90b25b34c9b3f

Observation 11f149b4-ad51-4028-93e3-13b766a218df · inbound

GPT-Driver: Learning to Drive with GPT cites this paper.

GPT-Driver: Learning to Drive with GPT ReAct: Synergizing Reasoning and Acting in Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:05:31.963719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T15:05:31.928650Z digest=sha256:d1218f32c9966a89278c0c217a8cc4604464cea3fd85ac60139a2d39520db924

Observation c1ba77c1-c935-4405-b4d6-a33629e261e0 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines ReAct: Synergizing Reasoning and Acting in Language Models

Reference 63

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local_arxiv, observed 2026-05-11T18:57:47.216650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:1d9b720f6d7349af96ae5ea247b8d7b4c2b20ac585dd9a4506ee58feb8fc36e2

Observation 0add0d36-345c-4fcd-b39c-1ad6128dc156 · inbound

MemGPT: Towards LLMs as Operating Systems cites this paper.

MemGPT: Towards LLMs as Operating Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 23

Resolution
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local_arxiv, observed 2026-05-10T12:27:29.068161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T12:27:29.041352Z digest=sha256:f4f1fdad5af0b3730c1fa17b30bfa5d646f77ec05f4ce17a22974aa67eedcef1

Observation 0f138f71-87d4-42cf-be42-6bfeefb533c4 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-15T03:58:46.042421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:2389efbe84afb61eb48726d683cc6bb4ee17f1028834a6c250d324395c18099c

Observation d0baa9d8-aa83-436f-963d-6ad148ab0b7a · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security ReAct: Synergizing Reasoning and Acting in Language Models

Reference 227

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.604750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:2ac59e6e7bc277a53c844307ecbea73e293c740cfae0090187fb3ca153f3a976

Observation 64e93801-0802-4cd8-b8a5-3c53d86746a4 · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey ReAct: Synergizing Reasoning and Acting in Language Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-13T18:12:57.639471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:3805ff3231c7c775f6dfb859f6ddd00ee186e186de774c2ffbb4baddf74dd70b

Observation 58bae5d3-f3d5-4ee6-a8dc-aa09ad00e86d · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey ReAct: Synergizing Reasoning and Acting in Language Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:22:54.796352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:e70efdf012cafcb1711d436c3634536f8edddd0a41820f547a0ba95a336a46f4

Observation 0408bd79-fbc3-4ebf-a44a-f1154c8526c3 · inbound

Whispers in the Machine: Confidentiality in Agentic Systems cites this paper.

Whispers in the Machine: Confidentiality in Agentic Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 17

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local_arxiv, observed 2026-05-24T04:03:53.905887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T03:59:03.972043Z digest=sha256:bfd8281b2950721c9cbd70d4782991ae46baa33e3f78d45dea51f67bb276f09c

Observation 9e0aa485-85e1-44cc-837c-89b86754f94c · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications ReAct: Synergizing Reasoning and Acting in Language Models

Reference 19

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local_arxiv, observed 2026-05-12T21:52:10.503403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T21:52:09.938550Z digest=sha256:a4f047553785cc63692a32e16ea52795e52d1aeef9208f327ace69c0793aa3bd

Observation d4d151b6-2bcf-4ca1-9add-3ab93a60f058 · inbound

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? cites this paper.

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? ReAct: Synergizing Reasoning and Acting in Language Models

Reference 35

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verified exact
local_arxiv, observed 2026-05-15T02:48:05.240690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T02:48:04.972868Z digest=sha256:d7e951014cb6acf259c1c58ac254cbead9d75a2b5460170edac89ade7f7bf779

Observation a69df0b8-3545-489a-b091-0f89b9f61558 · inbound

LLM Agents can Autonomously Exploit One-day Vulnerabilities cites this paper.

LLM Agents can Autonomously Exploit One-day Vulnerabilities ReAct: Synergizing Reasoning and Acting in Language Models

Reference 22

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verified exact
local_arxiv, observed 2026-05-18T04:18:27.654033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T04:18:27.597704Z digest=sha256:6e2b181263da3ac8321ac6a7882f812f70d03b587dc599b64b15aa9fc4787fd6

Observation e343d0af-77da-4ac2-b878-eb3ee795ba55 · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey ReAct: Synergizing Reasoning and Acting in Language Models

Reference 36

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local_arxiv, observed 2026-05-16T23:16:41.818772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:95c365be8899a1512cb53d9d068b7423b18b20652aeab9813fbc2f60fcff7f4a

Observation bc09e844-ee74-48cd-bc7d-91d985588efc · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 104

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local_arxiv, observed 2026-05-15T07:21:39.995500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:f00a7fdc31d6983d78167bb15d5b8a3912237feed111ad86ba490aac8898ca4b

Observation 61c18e5b-cc20-481c-aef5-f28ab8720316 · inbound

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models cites this paper.

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 46

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local_arxiv, observed 2026-05-15T23:32:17.965468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T23:32:17.279836Z digest=sha256:d588fa837927ea09e5d9e11d5c95185ae2b29e072bf8a50a09244bea5630d3d0

Observation 96be1a19-496d-46d0-a3b2-e5dfded3e4a3 · inbound

$\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains cites this paper.

$\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

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local_arxiv, observed 2026-05-11T03:19:00.916367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T03:19:00.831153Z digest=sha256:95d621fe3ef6fa058973970141f5e248a794c88007e102441945558ecc4eb797

Observation 7b2b76a0-7c2c-48b3-ba1c-229f1d2a0bc2 · inbound

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools ReAct: Synergizing Reasoning and Acting in Language Models

Reference 51

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local_arxiv, observed 2026-05-11T08:08:09.670352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T08:08:09.444352Z digest=sha256:2b0bd4a584a31d1eba26b99ce76e0210e660ef2fe907afe0792c0099f64158e6

Observation b2e74fb0-7a93-444d-a374-5196be604bfa · inbound

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents cites this paper.

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 69

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local_arxiv, observed 2026-05-13T06:35:13.528496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T06:35:13.331872Z digest=sha256:0680361a5516a58b427eaf30b634d72aa7c821ebf1d7d6dc8f628aa01b48ed4b

Observation 69da0dce-aabd-49be-88a2-e75997e09d22 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision ReAct: Synergizing Reasoning and Acting in Language Models

Reference 62

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local_arxiv, observed 2026-05-20T19:45:36.469659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T19:45:36.337956Z digest=sha256:afc9f217612357d25f6b27ce7614daba3e0d2f5f16916755fa921fe9020a5ef8

Observation 87ff9e92-0c87-4170-8373-b0949ac41250 · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling ReAct: Synergizing Reasoning and Acting in Language Models

Reference 65

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local_arxiv, observed 2026-05-12T04:42:23.497100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:42:23.297389Z digest=sha256:980313a8a4f4275198518987b84c15893bbef5f47d872cb9299fb623d84de1b8

Observation f0274aa6-0edd-4faf-8a24-3247582397d6 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 167

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T06:38:36.910856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-18T06:38:36.517935Z digest=sha256:cf7e2e5a0a55871da75a312ee180ca74eaac692d50b40a03ab2928373e6d6985

Observation a54f16c6-7e7e-42c4-8b44-71c6ea99295f · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction ReAct: Synergizing Reasoning and Acting in Language Models

Reference 33

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verified exact
local_arxiv, observed 2026-05-23T21:13:28.089677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:11d4c07cd84864b187be3726b20340318809763ad5d2de6aca757e1a48abcfda

Observation 06375812-57b9-4305-aa86-0489f303e32b · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 156

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verified exact
local_arxiv, observed 2026-05-12T13:36:57.221102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:cb00e3bea8b651d64a47588d92396f461be81980759636809d55012cc1534d43

Observation 8686a7e5-32d4-4b21-937a-9777a730d4bc · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis ReAct: Synergizing Reasoning and Acting in Language Models

Reference 57

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local_arxiv, observed 2026-05-23T19:45:47.185723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T19:45:39.130509Z digest=sha256:6c3facc442b40b95b88afb96f5dac61544ed785785ecb4c9516ffa7db7ee5ab1

Observation 15ca40ab-63a7-4ec8-9f26-494cf125be63 · inbound

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents cites this paper.

AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 31

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local_arxiv, observed 2026-05-14T01:35:51.107555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-14T01:35:50.992477Z digest=sha256:1809deaf0a91754ad65f9be51f37a33ab8c7263a32224f9a3cb4d1c2d8b32c5e

Observation 6d515b37-b537-4921-83f4-da04f8411be3 · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 51

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local_arxiv, observed 2026-05-13T09:29:27.626093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T09:29:27.173784Z digest=sha256:62d92aae9313d1639fcccd2ecc88aceff72fa64fe96753c1c34471908e3e6175

Observation 0b7b6502-e76f-42ee-aa05-2045e5811125 · inbound

One STEP at a time: Language Agents are Stepwise Planners cites this paper.

One STEP at a time: Language Agents are Stepwise Planners ReAct: Synergizing Reasoning and Acting in Language Models

Reference 41

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:40:44.365078Z digest=sha256:fb91d80da4d6d7d6eb2212cff9d253fd47724e6220fd196ab2a2d5a4a9a6bb7f

Observation 6734d8f8-d5d8-432d-ae2f-14c3db4d2456 · inbound

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use cites this paper.

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use ReAct: Synergizing Reasoning and Acting in Language Models

Reference 37

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source=pdf_text observed=2026-08-12T19:47:48.404971Z digest=sha256:2f88767ce40297a6d43de1616ec34c74f51bd8626f94c019232fe4667ceac41b

Observation b29af0c8-2c05-40cc-9c7f-d172e254396a · inbound

VeriGraph: Scene Graphs for Execution Verifiable Robot Planning cites this paper.

VeriGraph: Scene Graphs for Execution Verifiable Robot Planning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 44

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verified exact
local_arxiv, observed 2026-05-23T17:13:13.771357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T17:12:31.645346Z digest=sha256:4240efe4cea21a4c750dea90034a4b242687d450c93f230de19def292948d886

Observation ffb16315-0ec1-416b-ab40-42e107385191 · inbound

Does Prompt Formatting Have Any Impact on LLM Performance? cites this paper.

Does Prompt Formatting Have Any Impact on LLM Performance? ReAct: Synergizing Reasoning and Acting in Language Models

Reference 31

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source=arxiv_source observed=2026-08-12T19:38:27.066916Z digest=sha256:d9ce98eb78bec092fee763e7cf996ea9f1c8b3cde51703ff95ff93340c9d3e46

Observation 472b2240-050d-4e9c-b8b1-a278be6fd1a3 · inbound

REACCEPT: Automated Co-evolution of Production and Test Code Based on Dynamic Validation and Large Language Models cites this paper.

REACCEPT: Automated Co-evolution of Production and Test Code Based on Dynamic Validation and Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 56

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no resolver link, observed 2026-08-12T19:07:12.624103Z

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source=pdf_text observed=2026-08-12T19:07:12.624103Z digest=sha256:0df6fec38a7a1eec23c1b2482c6261fc17db20dfba8ccba5d33ffa2af2a5a17b

Observation 772a2a84-c345-4631-9b6e-71ce483761d2 · inbound

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations cites this paper.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ReAct: Synergizing Reasoning and Acting in Language Models

Reference 59

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source=pdf_text observed=2026-08-12T16:27:47.933320Z digest=sha256:e6226d4810570257556d12430408a3a3e12218d6e79d345ba2c7a235b48fe066

Observation c286109f-9c98-4d00-b131-68ac34a6dd53 · inbound

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues cites this paper.

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues ReAct: Synergizing Reasoning and Acting in Language Models

Reference 45

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source=pdf_text observed=2026-08-12T15:46:56.324029Z digest=sha256:e9f73ad50bad239c511ce5e0cf0bf8da81aa1ffc2d3d9aafa1547f63576f6062

Observation ef5a187b-166e-442b-8d2b-9777782d6881 · inbound

LLM-based Multi-Agent Systems: Techniques and Business Perspectives cites this paper.

LLM-based Multi-Agent Systems: Techniques and Business Perspectives ReAct: Synergizing Reasoning and Acting in Language Models

Reference 74

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source=pdf_text observed=2026-08-12T15:40:35.961601Z digest=sha256:ec2df8a979e67935f0a47b44a8f86891c581a452bac31b2f098f191c2bd09ab4

Observation 69d78044-50c8-4cac-b9c0-aa02ce107df7 · inbound

Natural Language Reinforcement Learning cites this paper.

Natural Language Reinforcement Learning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 54

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source=pdf_text observed=2026-08-12T15:26:45.157743Z digest=sha256:147a4bd41c7868e3cca6869ef343d0211be62725e4256961a7d3fb7d841bede8

Observation 31f045f7-abaa-4da7-b913-55b1c4dc1801 · inbound

SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions cites this paper.

SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions ReAct: Synergizing Reasoning and Acting in Language Models

Reference 7

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no resolver link, observed 2026-08-12T15:12:03.288113Z

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source=pdf_text observed=2026-08-12T15:12:03.288113Z digest=sha256:4f8a16b888b7a75fe599898ecb86b96a1179f455da082aa07423857f5253dc4c

Observation 6b9e3222-14bb-4afe-840e-9e2738d9686b · inbound

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry ReAct: Synergizing Reasoning and Acting in Language Models

Reference 103

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no resolver link, observed 2026-08-12T16:00:23.236391Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:00:23.236391Z digest=sha256:8cc2cc1eceaf9361a5d4d2b388c89f9a7d1d03f093d4eaa6f200ad25f4b95a10

Observation 162821ce-f19b-4af0-9db0-a84c690985db · inbound

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making cites this paper.

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making ReAct: Synergizing Reasoning and Acting in Language Models

Reference 18

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no resolver link, observed 2026-08-12T13:43:44.155461Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:43:44.155461Z digest=sha256:4845e973db979e36ff062ec7c19282ae5ed09cb051b2236cd0569f0c52044db0

Observation f577934a-aef6-4aab-9eda-6492d96d717c · inbound

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain cites this paper.

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain ReAct: Synergizing Reasoning and Acting in Language Models

Reference 46

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no resolver link, observed 2026-08-12T14:13:30.562189Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:13:30.562189Z digest=sha256:ef922fbd7a2d52a0d6a9844fb75bb2bdf486838aa9e71ae2b4ee395084453a65

Observation 328d7423-2d78-43da-945f-1d8c9c7b1284 · inbound

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting cites this paper.

ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting ReAct: Synergizing Reasoning and Acting in Language Models

Reference 45

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no resolver link, observed 2026-08-12T12:28:59.319408Z

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source=pdf_text observed=2026-08-12T12:28:59.319408Z digest=sha256:886287c99a64f1824823ce5da6de17d2159151d00084a023a04943bb525f48e1

Observation 3ada8854-5cbf-422f-9cf6-c783c7f92fec · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey ReAct: Synergizing Reasoning and Acting in Language Models

Reference 260

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verified exact
local_arxiv, observed 2026-05-19T11:08:27.864702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:48362c7405202754f030ab82e74c4f860a4eadbcd778261b6a3796b8a9301376

Observation b1bfe1df-af3f-4ba6-8634-6a0a77978c93 · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 50

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source=pdf_text observed=2026-08-12T10:20:46.867381Z digest=sha256:ef6dd0e3d5239488c678af10e4968ed0ae3bf73620ba91b2b4cccb25d6487615

Observation 0a09fcb0-ab95-4f06-9402-527f866fdc6e · inbound

Marconi: Prefix Caching for the Era of Hybrid LLMs cites this paper.

Marconi: Prefix Caching for the Era of Hybrid LLMs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 34

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no resolver link, observed 2026-08-12T10:19:00.235171Z

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source=pdf_text observed=2026-08-12T10:19:00.235171Z digest=sha256:af81891a42643f2246d90799a740cd3ed926664274f90e73dec949872dea28ad

Observation 56c74e4a-5805-45d7-af8c-af24eb062a9e · inbound

Training Agents with Weakly Supervised Feedback from Large Language Models cites this paper.

Training Agents with Weakly Supervised Feedback from Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 28

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no resolver link, observed 2026-08-12T10:08:13.244892Z

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source=arxiv_source observed=2026-08-12T10:08:13.244892Z digest=sha256:320d14aeda6972509ad2566b255e0ee472ee82c855d7bac72d2d3b1122e34a44

Observation f34fd321-9441-4747-b147-3a9650142b9e · inbound

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation cites this paper.

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 40

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no resolver link, observed 2026-08-12T05:53:28.744466Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:53:28.744466Z digest=sha256:1d69fb67f29142d459703b04768dc6c3bec91804a0b966ac46193276f9e82874

Observation b3dca390-607b-4b6a-84ac-76b3e8bd5c26 · inbound

Reverse Thinking Makes LLMs Stronger Reasoners cites this paper.

Reverse Thinking Makes LLMs Stronger Reasoners ReAct: Synergizing Reasoning and Acting in Language Models

Reference 4

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no resolver link, observed 2026-08-12T05:49:44.110057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:49:44.110057Z digest=sha256:8fa8369459520408a7814aa13aced7aacb8b0fdd776ea7cd54335b8e1c216a10

Observation 96c2dec1-68e5-4dcf-a277-f2361df351be · inbound

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective cites this paper.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective ReAct: Synergizing Reasoning and Acting in Language Models

Reference 41

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no resolver link, observed 2026-08-12T05:18:55.913408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.913408Z digest=sha256:6f20129dcf34c2f57e7c897320104ea4e6637b83593a6150876d524bcd2534bb

Observation ddf7d0c8-f4b7-45d0-b591-5056e8cc7eb3 · inbound

Quantifying perturbation impacts for large language models cites this paper.

Quantifying perturbation impacts for large language models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 11

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no resolver link, observed 2026-08-12T04:59:20.517714Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:59:20.517714Z digest=sha256:d15baca8baf603960123db61067e33ba5204e985da062735e99ba0f48a504d09

Observation 16911ab7-1843-4613-9543-317f5b413351 · inbound

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance cites this paper.

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance ReAct: Synergizing Reasoning and Acting in Language Models

Reference 49

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no resolver link, observed 2026-08-12T04:52:59.610085Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:52:59.610085Z digest=sha256:14268363e95a8ba9441ccb41cc5b17633cd27456f6b3e1d376718c42a1c16005

Observation 82e3324c-6654-4c1d-8836-047f9138f983 · inbound

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent cites this paper.

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

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no resolver link, observed 2026-08-12T04:49:29.777579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:49:29.777579Z digest=sha256:f9cd37a9e190ad04618e8c825f11d0404b42a6c5ddc5f226df82c646c19f1301

Observation c430e18c-f5c6-486e-9ce7-9cb675e900cc · inbound

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation cites this paper.

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 31

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no resolver link, observed 2026-08-12T04:43:33.348976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:43:33.348976Z digest=sha256:e7adbbba66ea95d2c23a8ad32601c27febe0de4802df284d40c44f29326e8e93

Observation 7e89a333-1945-4dbf-a4cf-06de9f05df26 · inbound

Exploring ReAct Prompting for Task-Oriented Dialogue: Insights and Shortcomings cites this paper.

Exploring ReAct Prompting for Task-Oriented Dialogue: Insights and Shortcomings ReAct: Synergizing Reasoning and Acting in Language Models

Reference 23

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no resolver link, observed 2026-08-12T04:33:58.218954Z

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source=arxiv_source observed=2026-08-12T04:33:58.218954Z digest=sha256:c319f8f51b87b2a5eed5bd233fc3016b721b453a376d21374498615ddadca6ac

Observation 576ca8fd-a1f6-4b78-b459-223ba0d9f0a8 · inbound

FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data cites this paper.

FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data ReAct: Synergizing Reasoning and Acting in Language Models

Reference 54

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no resolver link, observed 2026-08-11T23:10:13.606058Z

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source=pdf_text observed=2026-08-11T23:10:13.606058Z digest=sha256:10da38ae1eb90319b3070981d6d0e69812d6d3acfccf0a00d6b0620cd90278c7

Observation 8ec3ab4e-7ebc-46c3-9787-1ba6d568248a · inbound

REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization cites this paper.

REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization ReAct: Synergizing Reasoning and Acting in Language Models

Reference 17

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no resolver link, observed 2026-08-11T22:52:15.184031Z

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source=pdf_text observed=2026-08-11T22:52:15.184031Z digest=sha256:5e1437492535116f70d6a19bfa9c228b34ee8533a637940c8a4f1e3685f865c9

Observation d89f3322-6a31-4723-8310-695230c1a947 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 39

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no resolver link, observed 2026-08-11T22:18:29.659104Z

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source=pdf_text observed=2026-08-11T22:18:29.659104Z digest=sha256:9f1dc1ab43a08caec1edd3d17d6aad4ed9fc82f930c76b2b4c05d8922d58c481

Observation ad9c9756-2b25-4e87-b7a3-ac4f46bc3ddf · inbound

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective cites this paper.

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective ReAct: Synergizing Reasoning and Acting in Language Models

Reference 216

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no resolver link, observed 2026-08-11T22:32:45.033609Z

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source=pdf_text observed=2026-08-11T22:32:45.033609Z digest=sha256:a2589a36e417a09c7341e997fb07d52fe6f9bd2af6228d6abab6d10c2cf07658

Observation f727d9ec-f5ca-43ae-8b54-639924b48435 · inbound

EDA-Aware RTL Generation with Large Language Models cites this paper.

EDA-Aware RTL Generation with Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 10

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source=pdf_text observed=2026-08-12T15:59:15.168257Z digest=sha256:a626bac901fee951991b10690532bfc279328dadedba3594e4e0fc557dbe59ca

Observation 8bf58541-440e-4cec-9cb8-25b28ab2e68f · inbound

MageBench: Bridging Large Multimodal Models to Agents cites this paper.

MageBench: Bridging Large Multimodal Models to Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 91

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no resolver link, observed 2026-08-11T21:36:09.381777Z

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source=pdf_text observed=2026-08-11T21:36:09.381777Z digest=sha256:f038fd33b349df3600e252ee1b856acab1654d2140fd99117f31de6872b5b6f8

Observation 864388ff-2633-43cd-9c67-a5ec74e312da · inbound

Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games cites this paper.

Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Games ReAct: Synergizing Reasoning and Acting in Language Models

Reference 31

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no resolver link, observed 2026-08-11T21:10:37.924338Z

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source=pdf_text observed=2026-08-11T21:10:37.924338Z digest=sha256:11948b90ef41c0e46ace502241b099290a4d580e2e38af669bd2004ef8921f25

Observation d87288cc-12fb-4a4f-84d9-03b94aaa5860 · inbound

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot cites this paper.

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot ReAct: Synergizing Reasoning and Acting in Language Models

Reference 34

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no resolver link, observed 2026-08-11T20:54:11.545620Z

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source=pdf_text observed=2026-08-11T20:54:11.545620Z digest=sha256:1c76fc2ef3c50dd35eb18cf4ebdcf8e4a48a190560906f792bef81fafe305d0b

Observation 11e43be7-df8f-4bed-8704-decc00e43fee · inbound

DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent cites this paper.

DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent ReAct: Synergizing Reasoning and Acting in Language Models

Reference 21

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no resolver link, observed 2026-08-12T10:49:36.140831Z

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source=pdf_text observed=2026-08-12T10:49:36.140831Z digest=sha256:68f3c49a77b5f2238aaa8df6fe5b7504603578ed9caae8b2adc4cc38a70e0551

Observation 803d00f7-fe4c-46ae-8752-8fbcab1d4df0 · inbound

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage cites this paper.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage ReAct: Synergizing Reasoning and Acting in Language Models

Reference 28

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no resolver link, observed 2026-08-11T20:30:10.317006Z

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source=pdf_text observed=2026-08-11T20:30:10.317006Z digest=sha256:92c40664237862d766bfd0db8f11fe8befb0948662a6bbeb621e0b67c579605e

Observation c50837b3-c773-4948-877a-d042ce5c88d5 · inbound

Query-Efficient Planning with Language Models cites this paper.

Query-Efficient Planning with Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 54

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no resolver link, observed 2026-08-11T20:04:07.551786Z

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source=arxiv_source observed=2026-08-11T20:04:07.551786Z digest=sha256:8731d9394cefafadd0d1a2cce84109bd896d66fcce31fecf2b717f53985924df

Observation c8243dec-9105-457d-9883-7c5c7f6d9546 · inbound

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models cites this paper.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

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source=pdf_text observed=2026-08-11T20:45:05.502804Z digest=sha256:bc24c9c974d44601c4b2c8c863d02421b48cd7c6648d9aa833b90c37d8159186

Observation 03a635c4-946d-44d9-bc7f-b0edc4d2bfd9 · inbound

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization cites this paper.

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization ReAct: Synergizing Reasoning and Acting in Language Models

Reference 35

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source=pdf_text observed=2026-08-12T13:52:26.460898Z digest=sha256:5189d17bb35ca59ffa5738d9b8506e7b78322c9dd2d177f6009d9acee3c94286

Observation 42605525-d1f0-41f1-a1fd-0c31ac49260f · inbound

Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths cites this paper.

Lachesis: Predicting LLM Inference Accuracy using Structural Properties of Reasoning Paths ReAct: Synergizing Reasoning and Acting in Language Models

Reference 9

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source=pdf_text observed=2026-08-11T18:06:26.320526Z digest=sha256:7e66ab955ebbe3f833a49128910e2daf4ac8053111a4eb564ce6b969e06d3ced

Observation 15162f35-fc65-4bc2-9b97-ed6e66e2a274 · inbound

MaestroMotif: Skill Design from Artificial Intelligence Feedback cites this paper.

MaestroMotif: Skill Design from Artificial Intelligence Feedback ReAct: Synergizing Reasoning and Acting in Language Models

Reference 64

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source=arxiv_source observed=2026-08-11T17:50:06.475121Z digest=sha256:954a0c2e365215565398557ea7ba093e96beb49589c5e20c7dad9c7caf1e404a

Observation 001d457d-f5e4-4fe8-accb-8fcf5288b891 · inbound

Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models cites this paper.

Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 44

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source=arxiv_source observed=2026-08-11T18:35:56.409426Z digest=sha256:f064837c8934c03f676d0210c87f5ab6a52aed327c22b55821e835e9454763a3

Observation b9fe006b-4b80-4d84-9956-17ed99daeb6b · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 80

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source=pdf_text observed=2026-08-11T16:29:56.987778Z digest=sha256:a904448494052f2d2a578911c0517bc8801042a311bc4a090680ef06d0fe0e80

Observation 4a6f6367-05e6-4bcf-8d82-df6e4836a057 · inbound

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection cites this paper.

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection ReAct: Synergizing Reasoning and Acting in Language Models

Reference 23

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no resolver link, observed 2026-08-11T16:17:43.463350Z

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source=arxiv_source observed=2026-08-11T16:17:43.463350Z digest=sha256:f51c79e5141bdef700c6ff8b956ff3e3ede7d68a70c9666ec57c8e837ff4c13a

Observation a23e2d9f-8fe1-4592-8a9b-bf4f715ac8e1 · inbound

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM cites this paper.

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM ReAct: Synergizing Reasoning and Acting in Language Models

Reference 28

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no resolver link, observed 2026-08-11T18:53:15.374747Z

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source=arxiv_source observed=2026-08-11T18:53:15.374747Z digest=sha256:8b43bb7fe8d1f04c7735ce97dd1df78c08f7a6e0ce8d4ea4ac1fc109254d7f23

Observation ef7dd429-1e6c-4b22-bbe1-abb71cc03fa6 · inbound

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent cites this paper.

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent ReAct: Synergizing Reasoning and Acting in Language Models

Reference 20

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source=pdf_text observed=2026-08-11T15:24:45.510794Z digest=sha256:a9eb0341b2f167f56058b14b0adca874f4366b9e0e1399e6dcf875620bf73d88

Observation d973b0c4-0414-4d21-a58c-7af21c177eb1 · inbound

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts cites this paper.

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts ReAct: Synergizing Reasoning and Acting in Language Models

Reference 37

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no resolver link, observed 2026-08-11T15:22:43.258898Z

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source=arxiv_source observed=2026-08-11T15:22:43.258898Z digest=sha256:d48678c28f8864f2cec7724839c7bb09fbc407747ed3a0802ea25d60b04da7bb

Observation 07566e5c-beea-47a0-b7e4-4189e3ac2f7b · inbound

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement cites this paper.

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement ReAct: Synergizing Reasoning and Acting in Language Models

Reference 11

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source=pdf_text observed=2026-08-11T15:00:07.933048Z digest=sha256:0acd7d84625ddcdebf598b2dce2f75bf2471e08e974d523a462367069f3f8a12

Observation d75e26a3-d7a9-409f-a26d-56881595fe64 · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 22

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no resolver link, observed 2026-08-11T14:15:59.512276Z

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source=pdf_text observed=2026-08-11T14:15:59.512276Z digest=sha256:069163388edbff8f3994062f84c2a87b8314f0b55d43e32c4bffde85b3ebb141

Observation 756b6b2a-a7e6-43c6-8c63-4df42cf6339d · inbound

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks cites this paper.

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks ReAct: Synergizing Reasoning and Acting in Language Models

Reference 12

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no resolver link, observed 2026-08-11T14:02:49.048665Z

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source=arxiv_source observed=2026-08-11T14:02:49.048665Z digest=sha256:00d4d257a35eadbc76a74cc526376e81c9e8cf0c1abe1682a944f94c4ee41feb

Observation ad742b99-18b2-451a-8b57-72f214ace831 · inbound

A Survey of Calibration Process for Black-Box LLMs cites this paper.

A Survey of Calibration Process for Black-Box LLMs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 14

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no resolver link, observed 2026-08-11T13:48:40.194494Z

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source=pdf_text observed=2026-08-11T13:48:40.194494Z digest=sha256:658fa8a63b9be6621a404a72cb5713040bffb7920933fc2dd48fd0a36f929054

Observation 137eaf7f-a21b-44b9-b0e6-ac17b880e738 · inbound

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs cites this paper.

Creating an LLM-based AI-agent: A high-level methodology towards enhancing LLMs with APIs ReAct: Synergizing Reasoning and Acting in Language Models

Reference 33

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source=pdf_text observed=2026-08-11T13:38:04.404749Z digest=sha256:6981f2feeea7d3a1ec39f63c26f362247a7431db7baafa0a9edd37b16287521e

Observation fb171a9f-9bb2-464b-bb53-9d362630a16c · inbound

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning cites this paper.

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

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source=arxiv_source observed=2026-08-11T13:07:16.110425Z digest=sha256:4ed76ff8ac132cfb210d35152c133996bba0d6ffdfc2905d412c0ceba401a72f

Observation d8849403-63f6-48be-bf73-4d0990b96446 · inbound

Relational Programming with Foundation Models cites this paper.

Relational Programming with Foundation Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 54

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no resolver link, observed 2026-08-11T12:13:21.630337Z

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source=arxiv_source observed=2026-08-11T12:13:21.630337Z digest=sha256:9d01052ca2d319703df5730e6ddd6c557546234cef35e4f6eaa68212d5231364

Observation f9610dd4-881d-4d1a-89c5-9f840a293938 · inbound

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling cites this paper.

Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling ReAct: Synergizing Reasoning and Acting in Language Models

Reference 39

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no resolver link, observed 2026-08-11T11:55:30.548359Z

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source=arxiv_source observed=2026-08-11T11:55:30.548359Z digest=sha256:d2d72222cdb9ee9f2fb59f608a8119779b18570871e137108ba8a7c2df44301f

Observation 6ac1e7cd-c5e5-4119-8fc4-52362778f264 · inbound

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability cites this paper.

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

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no resolver link, observed 2026-08-11T11:41:21.333311Z

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source=arxiv_source observed=2026-08-11T11:41:21.333311Z digest=sha256:c4d4ee8694f7b4da36b02e83466a1929db42878e4bd2590d51cc1816bbc7b471

Observation 6187b510-3757-4628-bc5a-71ce8df5deb7 · inbound

Context-DPO: Aligning Language Models for Context-Faithfulness cites this paper.

Context-DPO: Aligning Language Models for Context-Faithfulness ReAct: Synergizing Reasoning and Acting in Language Models

Reference 53

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no resolver link, observed 2026-08-11T13:08:34.338655Z

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source=arxiv_source observed=2026-08-11T13:08:34.338655Z digest=sha256:f75d3477d555acb00f94fd860bcb112fe47f18ddb2147fb55de5719cb7a4ab31

Observation f75bba41-a591-4d11-9f0d-e743a3d685da · inbound

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling cites this paper.

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling ReAct: Synergizing Reasoning and Acting in Language Models

Reference 47

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no resolver link, observed 2026-08-11T11:58:08.167227Z

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source=arxiv_source observed=2026-08-11T11:58:08.167227Z digest=sha256:0c786574d107ff735bd88474760193c5e4584bbab590d85f5298fab195c483f7

Observation 0287ff68-8ebe-4ef8-a059-b40391d5baca · inbound

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models cites this paper.

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 33

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no resolver link, observed 2026-08-11T11:27:19.486562Z

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source=pdf_text observed=2026-08-11T11:27:19.486562Z digest=sha256:46600d6db97cb90869b2d1fe9012143da8ed5f6d576cd15a81e0ec9b427c6d68

Observation e4224ea6-c2ce-442a-970a-1ed9e9336d1c · inbound

Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline cites this paper.

Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline ReAct: Synergizing Reasoning and Acting in Language Models

Reference 1

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no resolver link, observed 2026-08-11T11:17:26.810727Z

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source=pdf_text observed=2026-08-11T11:17:26.810727Z digest=sha256:ab43130d51cfa2ffe5f2327d757dbada28d0a69ddc96e619178ec304e7b4d1ae

Observation 211feea1-df13-4fa5-8fbb-e035adf01cda · inbound

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback cites this paper.

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback ReAct: Synergizing Reasoning and Acting in Language Models

Reference 7

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no resolver link, observed 2026-08-11T11:11:53.574727Z

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source=pdf_text observed=2026-08-11T11:11:53.574727Z digest=sha256:dbe78688e62c0634e938d72db1217e01ee5898e389d4a37a66ca23196f8432e6

Observation 48bf4ce4-3a60-4df6-af0f-202643d103bd · inbound

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG cites this paper.

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

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no resolver link, observed 2026-08-11T10:50:36.733030Z

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source=pdf_text observed=2026-08-11T10:50:36.733030Z digest=sha256:9d54b9dcc4057c560a55be0a22f90dce318fb48e0d99cdb0c32f8e2e258e98c4

Observation e52b7f43-b130-48c9-a7fe-e11c1fa8fbe8 · inbound

Offline Reinforcement Learning for LLM Multi-Step Reasoning cites this paper.

Offline Reinforcement Learning for LLM Multi-Step Reasoning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 10

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no resolver link, observed 2026-08-11T10:50:19.099716Z

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source=pdf_text observed=2026-08-11T10:50:19.099716Z digest=sha256:1563e8c783fc3194c24349b5d5022e96be9f0aee992366eaac5a41edc8345980

Observation 528421da-4dc6-475f-8b34-4e1913995cfe · inbound

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models cites this paper.

Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 27

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no resolver link, observed 2026-08-11T10:34:25.040270Z

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source=arxiv_source observed=2026-08-11T10:34:25.040270Z digest=sha256:491a3d31c1b386c2802ae1160b8d6b4fef0ac9972ea8abe7bc16ea89b6471e28

Observation b222c06f-31ca-4120-92a0-cba318ac3544 · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 55

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no resolver link, observed 2026-08-11T05:58:55.202680Z

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source=arxiv_source observed=2026-08-11T05:58:55.202680Z digest=sha256:abe8846f5215f7222e6ba2331bb7ebe8ee4dddf7470d61c597da883c2d2c5afb

Observation b71bfae2-c576-4e2c-b1e3-318ee23cbb7e · inbound

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application cites this paper.

A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application ReAct: Synergizing Reasoning and Acting in Language Models

Reference 72

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no resolver link, observed 2026-08-11T05:29:24.616142Z

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source=arxiv_source observed=2026-08-11T05:29:24.616142Z digest=sha256:4a55bbf597e2195a5abd827d6dfc7b49812ddaead3bf0bc8f3fd0ce0e6568ea5