Paper Citation Record · LEDGER

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.13966.

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

pith.paper-citation-record.v1
2405.13966 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:23:26.537298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.482854Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f5d2c2d7-13e9-4188-b4e8-92ef5ead0439 · inbound

Iterative Deepening Sampling as Efficient Test-Time Scaling cites this paper.

Iterative Deepening Sampling as Efficient Test-Time Scaling On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.537298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f2391b4-430e-431d-99e2-b22e3839129b · inbound

Toolsuite for Implementing Multiagent Systems Based on Communication Protocols cites this paper.

Toolsuite for Implementing Multiagent Systems Based on Communication Protocols On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:07.703593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036d0c42-8ede-4a02-808b-426da32e951c · inbound

RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning cites this paper.

RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T13:12:19.525462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17aaf3ba-e309-40b1-a0d6-7878edda0584 · inbound

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning cites this paper.

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:56:08.668203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 012118f4-e8e4-4f42-8860-f77f9551f490 · inbound

Where Do CoT Training Gains Land in LLM based Agents? cites this paper.

Where Do CoT Training Gains Land in LLM based Agents? On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:49:51.484296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4ae28bc-bc2e-4213-be3a-9ad27387f66b · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 147

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8c6917-1562-40ab-b980-aa551f6efd6b · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 147

Resolution: unresolved; no resolver link, observed 2026-07-13T07:02:13.140334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfc9d78e-65cc-404c-ad7d-aa43e9077a8e · inbound

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions cites this paper.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44db3b7e-17b3-4b7c-9b35-36f2d0d52537 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T16:55:02.726677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63a16c6-d13e-4576-8264-d7ceb57db401 · inbound

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability cites this paper.

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T04:24:56.697811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.