Paper Citation Record · LEDGER

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.01375.

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

pith.paper-citation-record.v1
2608.01375 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:18:42.525591Z

measured 34 of 34 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

34 of 34 outbound references displayed

verified exact2
verified fuzzy28
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a763288-e677-4c90-b61e-7fdf4395a961 · outbound

This paper cites Smart grid cyber-physical attack and defense: A review,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Smart grid cyber-physical attack and defense: A review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:39.084246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66deb10a-2b50-4f6a-8bd3-4f1b454fe7d5 · outbound

This paper cites Analysis of the cyber attack on the Ukrainian power grid,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Analysis of the cyber attack on the Ukrainian power grid,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:49.641711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4aaafde4-6bc0-4cee-a24d-c3b0938558c7 · outbound

This paper cites Sandworm disrupts power in Ukraine using a novel attack against operational technology,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Sandworm disrupts power in Ukraine using a novel attack against operational technology,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:49.298537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56455ceb-0cb4-4534-87d4-068f93440fec · outbound

This paper cites Missforest—non-parametric missing value imputation for mixed-type data,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Missforest—non-parametric missing value imputation for mixed-type data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:49.108525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3ff6ed1-adab-48c8-9cfc-506e52297502 · outbound

This paper cites GAIN: Missing data imputation using generative adversarial nets,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids GAIN: Missing data imputation using generative adversarial nets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:48.829559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7c5b904-1247-4cf0-8f9b-b37db2b58cc1 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Adding conditional control to text-to-image diffusion models,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:39.539852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b230913-08a8-46d6-ac69-14b1aa660bb6 · outbound

This paper cites VAEs in the Presence of Missing Data.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids VAEs in the Presence of Missing Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:39.639799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a83ae7-f0f6-4cd7-939e-a4500e2bebea · outbound

This paper cites Pseudo-measurement enhancement in power distribution systems,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Pseudo-measurement enhancement in power distribution systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:48.569136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cfaaf83-799f-440c-8271-13a9c97df0b4 · outbound

This paper cites A learning-to-infer method for real- time power grid multi-line outage identification,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids A learning-to-infer method for real- time power grid multi-line outage identification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:48.378849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2518aa1-17a6-4161-a7fb-69f56e58c124 · outbound

This paper cites Line outage detection using phasor angle measurements,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Line outage detection using phasor angle measurements,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:48.083243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9abcba2-1560-49a6-b4a7-d25a807f91b6 · outbound

This paper cites Dynamic detection of transmission line outages using hidden markov models,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Dynamic detection of transmission line outages using hidden markov models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:47.839045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89f9bfe7-484f-4068-92ef-9fbca98398ab · outbound

This paper cites Compressive system identification for multiple line outage detection in smart grids,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Compressive system identification for multiple line outage detection in smart grids,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:47.537190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e95322dc-fa28-4413-9f0c-8e004c1d7783 · outbound

This paper cites Learning from future: Prediction-based data augmentation to enhance power grids fault detection,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Learning from future: Prediction-based data augmentation to enhance power grids fault detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:47.319030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38a1c390-06b5-42f1-aeb7-730d91c8cb17 · outbound

This paper cites Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:47.033542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd7aba91-8dfb-45a8-b274-2ad6b4195636 · outbound

This paper cites Design of a cost-effective deep convolutional neural network–based scheme for diagnosing faults in smart grids,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Design of a cost-effective deep convolutional neural network–based scheme for diagnosing faults in smart grids,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:46.814634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d0b2bfa-a059-4014-b586-00cbcdcb4117 · outbound

This paper cites Distribution grid fault classifica- tion and localization using convolutional neural networks,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Distribution grid fault classifica- tion and localization using convolutional neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:46.528065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d50554f3-3573-4a9b-867c-7c837f98ea52 · outbound

This paper cites Transfer Learning for Fault Diagnosis of Transmission Lines.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Transfer Learning for Fault Diagnosis of Transmission Lines

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:18:42.989177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea975b01-528c-4dcc-8f6d-47c94a2a4294 · outbound

This paper cites Prediction-based data augmentation for smart grid line outage detection,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Prediction-based data augmentation for smart grid line outage detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:46.351511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a03f5f3-e278-4f9f-8cbd-621154b7e9af · outbound

This paper cites Detection of power grid disturbances and cyber-attacks based on machine learning,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Detection of power grid disturbances and cyber-attacks based on machine learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:46.050114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 40e3147c-bae9-443f-9d35-bb531999403c · outbound

This paper cites A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids A tri-level optimization model to mitigate coordinated attacks on electric power systems in a cyber-physical environment,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:45.828473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94e7d136-3783-4db3-84c3-39049358535d · outbound

This paper cites Line failure detection after a cyber-physical attack on the grid using bayesian regression,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Line failure detection after a cyber-physical attack on the grid using bayesian regression,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:45.530921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88b3a822-f27f-4908-b507-eeefc913742e · outbound

This paper cites Line failure detection from pmu data after a joint cyber-physical attack,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Line failure detection from pmu data after a joint cyber-physical attack,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:45.315848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f200d262-ce9c-4b6b-8642-e6c2cd2d9818 · outbound

This paper cites React to cyber attacks on power grids,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids React to cyber attacks on power grids,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:45.031029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79c99cc1-7127-4f16-ac12-288553a4385d · outbound

This paper cites Fault localization and state estimation of power grid under parallel cyber-physical attacks,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Fault localization and state estimation of power grid under parallel cyber-physical attacks,

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-06T00:18:42.811789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 191541cd-ac80-4301-8981-3ccd6357a43e · outbound

This paper cites Prompt-to-prompt image editing with cross attention control,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Prompt-to-prompt image editing with cross attention control,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:44.883850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 776d5a14-2816-4cc2-a540-741959fb2d69 · outbound

This paper cites Improving hurricane power outage prediction models through the inclusion of local environmental factors,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Improving hurricane power outage prediction models through the inclusion of local environmental factors,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:44.571015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 109f0cb0-4c4d-4263-b44a-e3bd54bee8d4 · outbound

This paper cites Conditioning neural networks: A case study of electricity load forecasting,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Conditioning neural networks: A case study of electricity load forecasting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:44.307012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 942f46cf-862b-4f2d-a788-b73f9922657f · outbound

This paper cites Safety- critical cyber-physical attacks: Analysis, detection, and mitigation,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Safety- critical cyber-physical attacks: Analysis, detection, and mitigation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:44.021961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25d4c223-3169-41f7-9d1c-f88ef7322aa8 · outbound

This paper cites False data injection attacks against state estimation in electric power grids,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids False data injection attacks against state estimation in electric power grids,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:43.779977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 99367c6f-5aa1-4290-b5a4-1f448aca47cf · outbound

This paper cites Runtime semantic security analysis to detect and mitigate control- related attacks in power grids,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Runtime semantic security analysis to detect and mitigate control- related attacks in power grids,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:43.604330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8dc04486-19ae-4d1d-98a7-76a75f61bd6f · outbound

This paper cites Malicious data attacks on the smart grid,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Malicious data attacks on the smart grid,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:43.469654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac945e8c-6dc7-46fc-b850-11fcfdb1a945 · outbound

This paper cites Detecting target-area link-flooding ddos attacks using traffic analysis and supervised learning,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Detecting target-area link-flooding ddos attacks using traffic analysis and supervised learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:43.345144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ad6e0c3-ddab-41b7-ba8a-8b8e16299683 · outbound

This paper cites MAT- POWER: Steady-state operations, planning, and analysis tools for power systems research and education,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids MAT- POWER: Steady-state operations, planning, and analysis tools for power systems research and education,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:43.174814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfa4f121-d497-4d31-ac84-b1bad27151b7 · outbound

This paper cites Grid structural characteristics as validation criteria for synthetic networks,.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids Grid structural characteristics as validation criteria for synthetic networks,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:42.525591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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