Paper Citation Record · LEDGER

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2411.15356.

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

pith.paper-citation-record.v1
2411.15356 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:29:25.715009Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:12.098591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:06:33.905997Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy29
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7648dd48-5600-47cd-8609-e75fde507652 · outbound

This paper cites Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and China.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and China

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3388928a-f2de-4c76-b043-143e236f099f · outbound

This paper cites How does medical device regulation perform in the united states and the european union? a systematic review,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework How does medical device regulation perform in the united states and the european union? a systematic review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.314418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dddb6a0b-eafd-4044-ba06-88c03c448ec0 · outbound

This paper cites Evaluation of large language models for the classification of medical device software,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Evaluation of large language models for the classification of medical device software,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.301762Z

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Observation d8c5514a-7eab-4adf-8130-93b377a7c536 · outbound

This paper cites Perspective: Complexity theory and organization science,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Perspective: Complexity theory and organization science,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.287592Z

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Observation ba0191d8-e993-4ce3-96de-a3a5abd2913c · outbound

This paper cites Business dynamics: Systems thinking and modeling for a complex world,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Business dynamics: Systems thinking and modeling for a complex world,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.274212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97b2d635-a1e1-461b-b512-fa7d8876e438 · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:26.261302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fe91b08-747f-444d-afc1-ac9ee6883f95 · outbound

This paper cites How to do agent-based simulations in the future: From modeling social mechanisms to emergent phenomena and interactive systems design,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework How to do agent-based simulations in the future: From modeling social mechanisms to emergent phenomena and interactive systems design,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.248993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7535b4a2-779c-4f7e-980b-7413b61519eb · outbound

This paper cites Navigating the regulatory pathway for medical devices—a conversation with the fda, clinicians, researchers, and industry experts,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Navigating the regulatory pathway for medical devices—a conversation with the fda, clinicians, researchers, and industry experts,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.235998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ffd22a6-0bc8-41d8-bfbb-1f78c17ea516 · outbound

This paper cites Wooldridge, An introduction to multiagent systems.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Wooldridge, An introduction to multiagent systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.222555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae9d9c4f-5f8a-40da-939d-4c9c6b688447 · outbound

This paper cites Multi- agent systems for the simulation of land-use and land-cover change: a review,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Multi- agent systems for the simulation of land-use and land-cover change: a review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.207724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce52d78c-5cad-4c44-b4b3-0596f6fa9b54 · outbound

This paper cites A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3d9e552-2e75-4f66-9fa1-3c6e1f5e1248 · outbound

This paper cites Large Multimodal Agents: A Survey.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Large Multimodal Agents: A Survey

Reference 12

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Observation b7a9b01e-7d76-40eb-83f7-d1738344d9be · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 13

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Source-reported events for the cited work

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Observation 5b58577a-0b69-4a76-94d9-bc5d4ab89f58 · outbound

This paper cites Complexity theory: An overview with potential applications for the social sciences,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Complexity theory: An overview with potential applications for the social sciences,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.192514Z

Source-reported events for the cited work

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Observation a4f92c62-3fec-483d-8f34-2ac4f9e9de51 · outbound

This paper cites Everything you need to know about agent-based modelling and simulation,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Everything you need to know about agent-based modelling and simulation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.178628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30d389c3-21bb-4814-81c9-8c2c526ab332 · outbound

This paper cites Axelrod and M.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Axelrod and M

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.162789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebd04420-51c7-4637-8017-300c65432d7b · outbound

This paper cites Causal mechanisms in the social sciences,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Causal mechanisms in the social sciences,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.149432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae6462f7-b00e-444d-b666-3ca84becff65 · outbound

This paper cites Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Reinforcement Learning from Human Feedback for Lane Changing of Autonomous Vehicles in Mixed Traffic

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:29:25.607927Z

Source-reported events for the cited work

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Observation 491365ed-ad42-47d0-906e-8fcf97374090 · outbound

This paper cites Editor’s commentary: regulatory science and the science of safety,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Editor’s commentary: regulatory science and the science of safety,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.135151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebdff0a5-b643-433c-bab3-0f25246b0b75 · outbound

This paper cites More than red tape: exploring complexity in medical device regulatory affairs,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework More than red tape: exploring complexity in medical device regulatory affairs,

Reference 20

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Source-reported events for the cited work

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Observation a17714ae-3522-484f-93ec-d7f4aad26d1c · outbound

This paper cites Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry

Reference 21

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Source-reported events for the cited work

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Observation 5c7eed0d-ec04-4f7c-9afa-a0e07e05cb2d · outbound

This paper cites The use of readability metrics in legal text: A systematic literature review,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework The use of readability metrics in legal text: A systematic literature review,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.114166Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 036c2bef-6266-4f23-9eab-e51f2e7d99a0 · outbound

This paper cites Pbpk absorption modeling: establishing the in vitro–in vivo link—industry per- spective,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Pbpk absorption modeling: establishing the in vitro–in vivo link—industry per- spective,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.101647Z

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Observation 58d46835-f895-44a7-9ef6-6c2763310a07 · outbound

This paper cites Advancing regulatory science with computational modeling for medical devices at the fda’s office of science and engineering laboratories,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Advancing regulatory science with computational modeling for medical devices at the fda’s office of science and engineering laboratories,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.088940Z

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Observation 5d040e55-0804-4e08-90dc-9e9e30d2bdab · outbound

This paper cites Ispor, the fda, and the evolving regulatory science of medical device products,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Ispor, the fda, and the evolving regulatory science of medical device products,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.073950Z

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Observation 268808eb-e412-403d-9aa1-8e5267e4e5f0 · outbound

This paper cites Analytical chemistry in the regulatory science of medical devices,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Analytical chemistry in the regulatory science of medical devices,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.061812Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ce74fb4-70f3-4b6e-b30b-68bf0f178db0 · outbound

This paper cites ICH Harmonised Tripartite Guideline: Quality Risk Management Q9,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework ICH Harmonised Tripartite Guideline: Quality Risk Management Q9,

Reference 27

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Observation 73e29121-6586-44eb-a103-6aec1a3676f3 · outbound

This paper cites Guidance for industry: Q10 quality systems approach to pharmaceutical cgmp regulations,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Guidance for industry: Q10 quality systems approach to pharmaceutical cgmp regulations,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.037142Z

Source-reported events for the cited work

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Observation 882c3c46-e543-403a-afa4-723641644c9e · outbound

This paper cites The risk-based approach under the new eu data protection regulation: a critical perspective,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework The risk-based approach under the new eu data protection regulation: a critical perspective,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.024966Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 665764d0-b161-466f-a02a-87b1a5504019 · outbound

This paper cites Structured benefit-risk assessment across the product lifecycle: practical considerations,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Structured benefit-risk assessment across the product lifecycle: practical considerations,

Reference 30

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Observation 900020aa-5e80-48d2-83b5-a3868d1468f1 · outbound

This paper cites Foundations of cost-effectiveness analysis for health and medical practices,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Foundations of cost-effectiveness analysis for health and medical practices,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:26.000268Z

Source-reported events for the cited work

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Observation 4ccd4d11-31c1-4d4f-a7fd-3221e115abba · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 709ae7ff-04d3-4ff9-bb89-32a8d68d9ea7 · outbound

This paper cites Analysis of a stochastic model for coordinated platooning of heavy-duty vehicles,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Analysis of a stochastic model for coordinated platooning of heavy-duty vehicles,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.976077Z

Source-reported events for the cited work

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Observation 95940202-0bff-420c-b178-24b2db3349b9 · outbound

This paper cites A dynamic model for gmp compliance and regulatory science,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework A dynamic model for gmp compliance and regulatory science,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.964294Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e2897cf-23d9-4411-84dd-919a8b7b9c46 · outbound

This paper cites Empowering biomedical discovery with ai agents,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Empowering biomedical discovery with ai agents,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.952486Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95da299c-4210-4a39-bedc-156fb0f6d58b · outbound

This paper cites Structured benefit–risk evaluation for medicinal products: review of quantitative benefit–risk assessment findings in the literature,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Structured benefit–risk evaluation for medicinal products: review of quantitative benefit–risk assessment findings in the literature,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.941111Z

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Observation a9d765b4-8f44-4e54-a7ac-60ee8a96d5b2 · outbound

This paper cites Camel: Communicative agents for.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Camel: Communicative agents for

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.928402Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e759274c-9e7d-4a75-81d3-18d5375aefe9 · outbound

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Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:25.914212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation da2dd96e-00bd-4b30-a46c-ce5d7ef10f98 · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:25.899245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29aaea13-5aec-4841-9c20-9c49f8442d93 · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:25.885614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 471c5d66-809b-4953-bdcb-6d50712967ef · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:25.873020Z

Source-reported events for the cited work

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Observation d3025029-4eb8-4fa8-8d0c-54e6d1417179 · outbound

This paper cites an unresolved cited work.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:29:25.860990Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3f1abbe-39ec-41e4-9cb3-353a70c444fb · outbound

This paper cites Least squares parameter estimation and multi-innovation least squares meth- ods for linear fitting problems from noisy data,.

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework Least squares parameter estimation and multi-innovation least squares meth- ods for linear fitting problems from noisy data,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:29:25.848332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation ec0e52f2-9c72-4c14-9f3c-288ed5794132 · inbound

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance cites this paper.

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:12.098591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3899f339-b645-400d-b937-98aef1746582 · inbound

Compliance Management for Federated Data Processing cites this paper.

Compliance Management for Federated Data Processing Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:06:33.909050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.