Paper Citation Record · LEDGER

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.09076.

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

pith.paper-citation-record.v1
2607.09076 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T00:32:17.073983Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db3640ea-d2dd-41d3-a0ee-9475844ca279 · outbound

This paper cites Structured agentic workflows for financial time-series modelling with llms and reflective feedback.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Structured agentic workflows for financial time-series modelling with llms and reflective feedback

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Unavailable: canonical work link unavailable.

Observation db832068-1813-46bc-8470-c9cdf701ed90 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 080f9b41-d9a1-451e-ad1b-3c1c5dfb963e · outbound

This paper cites Agentic AI for autonomous anomaly management in complex systems.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Agentic AI for autonomous anomaly management in complex systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation ec80f20a-d08e-40e3-88e9-232d04aca47b · outbound

This paper cites Zero-shot llm-guided counterfactual generation: A case study on nlp model evaluation.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Zero-shot llm-guided counterfactual generation: A case study on nlp model evaluation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 59804714-bffb-49a4-94fe-a4829ab5ab09 · outbound

This paper cites Hallucination detection in foundation models for decision-making: A flexible definition and review of the state of the art.ACM Computing Surveys, 57(7):1–35, 2025.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Hallucination detection in foundation models for decision-making: A flexible definition and review of the state of the art.ACM Computing Surveys, 57(7):1–35, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 0d15b64e-cd88-4b53-a5ef-c6dec456a317 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls A decoder-only foundation model for time-series forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 8b355b8b-4a02-4d67-9c9d-4df531463c9b · outbound

This paper cites Gemini 2.5 updates: Flash/pro ga, sft, flash-lite on vertex ai, 2025.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Gemini 2.5 updates: Flash/pro ga, sft, flash-lite on vertex ai, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 6247c9f4-8724-4af4-abc2-763f06e53b90 · outbound

This paper cites Gemini 2.5 flash-lite model card.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Gemini 2.5 flash-lite model card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66aee692-e76d-442d-bcb1-661a7dc5622a · outbound

This paper cites A comparison of tcn and lstm models in detecting anomalies in time series data.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls A comparison of tcn and lstm models in detecting anomalies in time series data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation d9c9900e-6734-4625-a0c8-07ee5607a959 · outbound

This paper cites In-context and few-shots learning for forecasting time series data based on large language models.arXiv preprint arXiv:2512.07705, 2025.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls In-context and few-shots learning for forecasting time series data based on large language models.arXiv preprint arXiv:2512.07705, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 5fb0677a-c4db-4c06-b340-7cb3f5833bf2 · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Long short-term memory.Neural computation, 9(8):1735–1780, 1997

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 6186e1ca-adc2-4a5f-973f-eaba2fc3a064 · outbound

This paper cites Datasets.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Datasets

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 0ce78616-cfa1-40b7-9981-dcdef9140d50 · outbound

This paper cites H1 2023 – a Brief Overview of Main Incidents in Industrial Cybersecurity.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls H1 2023 – a Brief Overview of Main Incidents in Industrial Cybersecurity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation fe25f60d-ec10-4018-b385-c581ef7f506c · outbound

This paper cites an unresolved cited work.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation ab090552-5ed6-4f50-83d2-ed7d32a88810 · outbound

This paper cites Medical hallucinations in foundation models and their impact on healthcare.arXiv preprint arXiv:2503.05777, 2025.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Medical hallucinations in foundation models and their impact on healthcare.arXiv preprint arXiv:2503.05777, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 9ef2120c-122b-43dc-9178-fd18a46182ca · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Foundation models for time series analysis: A tutorial and survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation ba3c5572-42b6-4630-bcae-b3f35befcd15 · outbound

This paper cites Calf: Aligning llms for time series forecasting via cross-modal fine-tuning.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Calf: Aligning llms for time series forecasting via cross-modal fine-tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation f7ec3d23-b18c-4286-a689-6cbc97c36d30 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Unavailable: canonical work link unavailable.

Observation a51947f0-4ed6-4a98-a79e-c76e59fe4bf0 · outbound

This paper cites Swat: A water treatment testbed for research and training on ics security.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Swat: A water treatment testbed for research and training on ics security

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 6f1ec32f-f780-4a4e-bf0d-021a96e8e1df · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 0c3712c5-7312-4f2d-b0f5-daf7dc28c9e3 · outbound

This paper cites Dbloss: Decomposition-based loss function for time series forecasting.arXiv preprint arXiv:2510.23672, 2025.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Dbloss: Decomposition-based loss function for time series forecasting.arXiv preprint arXiv:2510.23672, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation d1b5d637-d0d9-4b32-a59a-0726374a23ce · outbound

This paper cites The true cost of downtime.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls The true cost of downtime

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 9b823ee5-078a-4585-b87a-d79bf67d3057 · outbound

This paper cites Timexer: Empowering transformers for time series forecasting with exogenous variables.Advances in Neural Information Processing Systems, 37:469–498, 2024.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Timexer: Empowering transformers for time series forecasting with exogenous variables.Advances in Neural Information Processing Systems, 37:469–498, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation a7592d01-7861-4b79-bdfd-24adfbe46f75 · outbound

This paper cites an unresolved cited work.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Observation 50f5ea5c-d6e2-4b39-9515-3f90da5a72d4 · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.Advances in neural information processing systems, 36:43322–43355, 2023.

Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls One fits all: Power general time series analysis by pretrained lm.Advances in neural information processing systems, 36:43322–43355, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T00:32:17.073983Z

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Pith citing papers

No inbound Pith citation observations are available.