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Paper Citation Record · LEDGER

Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2501.18645.

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

pith.paper-citation-record.v1
2501.18645 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:48.381131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:42:46.462307Z

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 f12ab74f-6fbf-477f-8882-398cb8184a51 · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:48.381131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:48.381131Z digest=sha256:966a1e37449747c127f2ad28a3ca7f0c34aeae0af53d9f895b8302f7be6bc534

Observation d928fdb8-0d90-4efe-b689-99fa56c1ad3f · inbound

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design cites this paper.

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-05T18:05:42.815294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:42.815294Z digest=sha256:81f1e0e35c7fd92ab736f49b5e73f695c6ac1ba85085a04e5366337a354cae21

Observation 7df13abc-6282-4187-be7d-9eb23bae7cf1 · inbound

Reasoning LLMs in the Medical Domain: A Literature Survey cites this paper.

Reasoning LLMs in the Medical Domain: A Literature Survey Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T15:59:40.940561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:59:40.940561Z digest=sha256:85c17e95d236cecd3a921f600c3fc098b052e755c428422ffa64d26e793ebe2f

Observation bf8dfa1c-ecbe-4c37-9238-9638c654c9e4 · inbound

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration cites this paper.

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T05:51:29.377486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:51:29.377486Z digest=sha256:65f6b6bcc654a6ca3568a48a04a63904f606941a4992d440e3f529c527570f91

Observation ee7044a4-ebd2-42c8-ab8b-c394514df71b · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:46.465078Z

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.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:a976281dcb1451ab3a06ea0ccb0d953ce0aa226a41c0d3b69a75097bc44db036

Observation 6ccec449-ee18-4d58-9e24-2b7a099bff5a · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T18:57:21.756550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.756550Z digest=sha256:f0e520042994425a2d026d01cf868db8df179f24ffeaefc5886416c9f2ba0a75

Observation 0faff28a-fbce-448b-a0a6-1bdb0a18c4df · inbound

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review cites this paper.

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:26:00.826263Z

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.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:e48f98c9bfae2873402a771330b81047bfc61bbd07639ddb24f9da9104bb3fd4

Observation a177a152-82c3-46a7-b6cf-b2c4a7e01a02 · inbound

To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions cites this paper.

To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T00:53:08.086057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:53:08.086057Z digest=sha256:aa565ca41c3b8b34bfe23cc41143b8e6dac57ee30dcf2ebe0fa8b49efbac71de