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Paper Citation Record · LEDGER

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation

As of 11 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2508.04170.

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

pith.paper-citation-record.v1
2508.04170 v1

Coverage vector

measured 94 of 94 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T00:55:45.306822Z

measured 94 of 94 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

94 of 94 outbound references displayed

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Outbound references

Observation e931d5f9-3774-40dd-8e71-df94355a7535 · outbound

This paper cites Remotely Located Configurations When quantum computers are co-located with conven- tional computers, communication typically occurs via a LAN.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Remotely Located Configurations When quantum computers are co-located with conven- tional computers, communication typically occurs via a LAN

Reference 1

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Observation 8ac2c7d3-fdc9-4520-b77e-e3beed5ede76 · outbound

This paper cites The original through- put model equation (1) has a key parameter, denoted by �.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation The original through- put model equation (1) has a key parameter, denoted by �

Reference 2

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Observation 540f61df-4d73-4625-9f41-3528444da93b · outbound

This paper cites Here, we examine whether the num- ber of shots might exceed the initially assumed value of.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Here, we examine whether the num- ber of shots might exceed the initially assumed value of

Reference 3

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This paper cites Because actual measurements of latency and throughput in such environments were not available, our evaluation relied on theoretical modeling and scenario-based analyses.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Because actual measurements of latency and throughput in such environments were not available, our evaluation relied on theoretical modeling and scenario-based analyses

Reference 4

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Observation 7a4fac6c-241b-4f8b-925c-c7a10defb061 · outbound

This paper cites Bharti, A.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Bharti, A

Reference 5

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This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 6

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Observation 12a7dc56-b60f-4832-904a-f0875f389982 · outbound

This paper cites queueing time.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation queueing time

Reference 7

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Observation 77fd219a-a120-4351-bfd3-4fb56a062da7 · outbound

This paper cites We then discuss how these queueing delays affect the total execution time of a quan- tum-classical hybrid job.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation We then discuss how these queueing delays affect the total execution time of a quan- tum-classical hybrid job

Reference 8

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This paper cites Such priori- ty-based scheduling mechanisms are already available on quantum computing platforms from IBM, A WS, and Os- aka University (see Table III).

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Such priori- ty-based scheduling mechanisms are already available on quantum computing platforms from IBM, A WS, and Os- aka University (see Table III)

Reference 9

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This paper cites quantum multi- programming.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation quantum multi- programming

Reference 10

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This paper cites Quantum-Centric Supercomputing.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Quantum-Centric Supercomputing

Reference 11

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Observation d16f1edc-5f4f-4df2-9f58-1d15e568ad6d · outbound

This paper cites QSCI is a novel hybrid algorithm designed for calculating ground-state and excited-state molecular energies.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation QSCI is a novel hybrid algorithm designed for calculating ground-state and excited-state molecular energies

Reference 12

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This paper cites Specifically, pre-training tensor networks on conventional computers can be used to initialize PQC parameters.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Specifically, pre-training tensor networks on conventional computers can be used to initialize PQC parameters

Reference 13

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 14

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

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This paper cites We reviewed the existing literature that explicitly measures conventional computing resource usage, such as processing time and hardware specifications.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation We reviewed the existing literature that explicitly measures conventional computing resource usage, such as processing time and hardware specifications

Reference 16

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This paper cites In a case study, post-processing was performed on sin- gle GPU, which proved sufficient for the current work- loads without incurring prohibitively long processing times.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation In a case study, post-processing was performed on sin- gle GPU, which proved sufficient for the current work- loads without incurring prohibitively long processing times

Reference 17

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 18

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Observation 35cc89c3-43c7-42c4-99f6-d1b6e8ecaf71 · outbound

This paper cites To mitigate this degradation, quantum circuit optimiza- tion techniques aim to minimize the number of two-qubit gates while preserving the logical equivalence.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation To mitigate this degradation, quantum circuit optimiza- tion techniques aim to minimize the number of two-qubit gates while preserving the logical equivalence

Reference 19

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This paper cites Quantum-Centric Su- percomputing,.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Quantum-Centric Su- percomputing,

Reference 20

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

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This paper cites Montanaro, Quantum algorithms: an overview, npj Quantum Information �, 1 (2016).

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Montanaro, Quantum algorithms: an overview, npj Quantum Information �, 1 (2016)

Reference 22

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This paper cites Preskill, Quantum computing in the NISQ era and beyond, Quantum �, 79 (2018).

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Preskill, Quantum computing in the NISQ era and beyond, Quantum �, 79 (2018)

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Cerezo, A

Reference 24

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This paper cites Bravyi, G.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Bravyi, G

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Schneider and I

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Alexeev, M

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

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Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

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Observation fb9b6c79-fb97-4417-ab10-6bdd9c8dd5c0 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-06T00:55:39.729019Z digest=sha256:cf24b77f5adaa5589663a6cd1340be2cfbb2daf7cd86aa269d59a05aabe6adc5

Observation 2b44699c-7602-4938-9c92-b5b526e10df2 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-06T00:55:39.826047Z digest=sha256:84cbfd1929bd627259ff3de3375675d8c3e6114edfaf732756b4416130db7cd6

Observation 2f982ce4-72ed-4d16-bf6d-b8cc2f89a1a4 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-06T00:55:39.921948Z digest=sha256:61ffe263c9296e355073a8618de73b68af2be8adb2997ac0019302421fa3fcf9

Observation 40dfb622-2f9e-4acb-bfc7-66c81edbeb19 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-06T00:55:40.015980Z digest=sha256:ef34f47a04b22839190406c90c40ee6a56d1c0de17398f5ed3eaf65fc77688df

Observation b02a84dd-e1da-42ec-b778-690b10479721 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-06T00:55:40.074911Z digest=sha256:c5421f7936cddfdedbaa8422cf75d0471a6168e8d8374c7a3207605da7140169

Observation 6943fe0b-9db0-4353-b2cb-e688ba22eab5 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-06T00:55:40.124144Z digest=sha256:952141a15a1b0fb93c0e1bb2489278a3140dd36ab1547e312d700e29ebcd18a2

Observation 7d4eca71-1178-4c00-b2bb-6d4d033fab45 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-06T00:55:40.196307Z digest=sha256:dc89abaf7811838f0d167b1cfaf2fce0955af11180c1d516e29dc7b78cc69d1c

Observation 227492d8-d969-4248-bdae-5efc7f1ef1bb · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 43

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raw_fallback, observed 2026-08-06T00:55:55.194340Z

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source=pdf_text observed=2026-08-06T00:55:40.249799Z digest=sha256:fb6851da083a96d93f822aec1a25066c0ba2f4aead78bd5d41cd2b14eae8ed34

Observation 27e3550d-55bb-400a-89d2-99478e9d3e4e · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 44

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raw_fallback, observed 2026-08-06T00:55:54.973242Z

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source=pdf_text observed=2026-08-06T00:55:40.308445Z digest=sha256:12602928ba9e67c4b7e385af90d47ef720081f8805c3769a475a107f713cd51c

Observation 0858a35f-920c-4d67-a6e6-6164ef4d2eae · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 45

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raw_fallback, observed 2026-08-06T00:55:52.714482Z

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

source=pdf_text observed=2026-08-06T00:55:42.095463Z digest=sha256:71a3c41bfd166ae06e034b2fb84e088d0edcced70565331b69f284cc4cafb3fd

Observation 84c4612d-b7f0-4114-8c1e-5e3bd839d7a2 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 46

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raw_fallback, observed 2026-08-06T00:55:54.573262Z

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source=pdf_text observed=2026-08-06T00:55:40.410033Z digest=sha256:b8aa3597bf4e5458dc508cafa18f2238774288ce7b0e726885165371c6302437

Observation cc09df43-c65d-4945-bcf3-d10e807e48bd · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-06T00:55:40.476007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:40.476007Z digest=sha256:f420d5848996aeca1590ef1ffd99ef2c01631c56b5ad2d00757a61d46a114b22

Observation 43de29a8-83c8-45eb-9143-e60b45bfde78 · outbound

This paper cites Peruzzo, J.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Peruzzo, J

Reference 48

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raw_fallback, observed 2026-08-06T00:55:54.388827Z

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source=pdf_text observed=2026-08-06T00:55:40.590015Z digest=sha256:fc91ee9ccb309229a8fe405229397ad7d8ded0d354b76e683a5d0334a26a98a1

Observation c1780d3d-1564-4fb0-8ba1-4d451d172cb0 · outbound

This paper cites Mitarai, M.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Mitarai, M

Reference 49

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raw_fallback, observed 2026-08-06T00:55:54.249281Z

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source=pdf_text observed=2026-08-06T00:55:40.639953Z digest=sha256:715a8b93b24051e2bba26490f7900fa81f719b7d678d6343691849a44720c7e2

Observation 7ca94965-a2a5-4d87-a2d2-82109146b4fe · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Classification with Quantum Neural Networks on Near Term Processors

Reference 50

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no resolver link, observed 2026-08-06T00:55:40.715505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:40.715505Z digest=sha256:46db1b27745976d65f39a72cec7182e0848533584ac479f4288306d1eff37f73

Observation 4fead4c3-90ce-406f-aea3-c79dc234b6d1 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 51

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raw_fallback, observed 2026-08-06T00:55:54.107807Z

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source=pdf_text observed=2026-08-06T00:55:40.804782Z digest=sha256:443a3d4b88cef7a27506850798f1ab4c19e18b650f02cc652b4f0243dc42d19a

Observation 208aa2a4-fa00-4851-932e-b9b2adef61d7 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-06T00:55:40.897706Z digest=sha256:6b942fa4deca33d3b99522604c167a11173d0b437041379c47026f177a0f7a41

Observation 2855b193-b5b0-431f-96a5-9443a63e1f01 · outbound

This paper cites Mih´ alikov´ a, M.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Mih´ alikov´ a, M

Reference 53

Resolution
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raw_fallback, observed 2026-08-06T00:55:54.054682Z

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source=pdf_text observed=2026-08-06T00:55:40.967976Z digest=sha256:7065b1888a4645c562088cf0c3a081b2ad2f129dacbd607083fa4a0d30cdfadd

Observation a581bd82-f33a-4649-a9fd-7d2ef24cad5d · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 54

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raw_fallback, observed 2026-08-06T00:55:54.046142Z

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.

source=pdf_text observed=2026-08-06T00:55:41.061494Z digest=sha256:67b0ca183d1fc209bf2a49a74704e62f2fd69b9873b81997c6ad3f6d1eecb665

Observation 97aa4966-5bb5-4de0-b560-cda93f4398f6 · outbound

This paper cites Delgado and K.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Delgado and K

Reference 55

Resolution
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raw_fallback, observed 2026-08-06T00:55:53.975523Z

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.

source=pdf_text observed=2026-08-06T00:55:41.166995Z digest=sha256:c2b7af5c2d74f67361fcb6ed9b720394c0d5bf39ad8266ada01fc44f9e7bd101

Observation 0d6f4f3c-0782-4514-afa5-2c4e9bad0892 · outbound

This paper cites In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 56

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no resolver link, observed 2026-08-06T00:55:41.288624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:41.288624Z digest=sha256:c2a0427fb274a21e8c1fa90b6369de756c6ce842c96ced7ee9824dadae164fb9

Observation d83f4d47-4eab-417a-a38e-581984dd105c · outbound

This paper cites Huang, M.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Huang, M

Reference 57

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raw_fallback, observed 2026-08-06T00:55:53.830815Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:55:41.390630Z digest=sha256:862a245a40a535ba113083ae03fff253d0d1949886fe96d406635b119f89fcf7

Observation 03bbbd28-0c9b-432f-86b5-3364cfdfbea8 · outbound

This paper cites K¨ ubler, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation K¨ ubler, S

Reference 58

Resolution
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raw_fallback, observed 2026-08-06T00:55:53.698564Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:55:41.461964Z digest=sha256:ec108b48dfcb6d68e760fa61e3155709b76ea9bf3c926dad6aa80d0dba1cc23b

Observation 61f588c5-f64c-4b44-9060-eea149134a77 · outbound

This paper cites Thanasilp, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Thanasilp, S

Reference 59

Resolution
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raw_fallback, observed 2026-08-06T00:55:53.540988Z

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.

source=pdf_text observed=2026-08-06T00:55:41.508689Z digest=sha256:d4c2346b255797574807a6b8e32e4369bb796f8a510407ba0c58fdd027f9ecac

Observation 7a77e560-4979-4f80-9df5-98512afff8b0 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 60

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raw_fallback, observed 2026-08-06T00:55:53.448480Z

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

source=pdf_text observed=2026-08-06T00:55:41.575048Z digest=sha256:7bc0e365f60f7c6a3f7d0098008755a5cc9e0a6affb4e8660494e55d84dfeffb

Observation 3569176d-1e9e-4848-b61d-46f5a81abff1 · outbound

This paper cites 100 bits � 1000 shots = 12,500 bytes.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation 100 bits � 1000 shots = 12,500 bytes

Reference 61

Resolution
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raw_fallback, observed 2026-08-06T00:55:53.302330Z

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.

source=pdf_text observed=2026-08-06T00:55:41.625452Z digest=sha256:87ed9b540bf6d3cdc0cdfb73f30c3b43d7bdca7d15836a4ab8e76c03b39a2502

Observation d4a6a6cb-c9b7-4c4a-85ac-65b5dc08d66c · outbound

This paper cites Takagi, H.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Takagi, H

Reference 62

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raw_fallback, observed 2026-08-06T00:55:53.205572Z

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.

source=pdf_text observed=2026-08-06T00:55:41.736264Z digest=sha256:6b8d786c0ccd1073493c999ab0d61b70c5d726f0c63376975935614ef66fc584

Observation a3934abb-cdd9-4632-903f-f2651b6ff8f8 · outbound

This paper cites Tsubouchi, T.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Tsubouchi, T

Reference 63

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raw_fallback, observed 2026-08-06T00:55:53.100112Z

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.

source=pdf_text observed=2026-08-06T00:55:41.870676Z digest=sha256:d99212a43aaae314f4e1e42200d0de1f734ceb3eb9194e19be5d3049493cef9d

Observation c8cff6e6-42f4-43e5-bcd5-089807324175 · outbound

This paper cites Lu, M.-C.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Lu, M.-C

Reference 64

Resolution
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raw_fallback, observed 2026-08-06T00:55:52.973605Z

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.

source=pdf_text observed=2026-08-06T00:55:42.011379Z digest=sha256:c26f2772622f509568f750f08a91f17969f1248b7ece0c9efabf76f06a286ffa

Observation 6e9a9296-4dc3-4927-a878-284536fc7696 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 65

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raw_fallback, observed 2026-08-06T00:55:48.168900Z

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.

source=pdf_text observed=2026-08-06T00:55:43.887992Z digest=sha256:c31aba71161206c75a2241bae863a0ee4d76db7e907063305132e1ecc22a2c88

Observation 11ec8735-6d98-48de-9ba3-343e99df7663 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:52.566886Z

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.

source=pdf_text observed=2026-08-06T00:55:42.176586Z digest=sha256:3da4e45409030361023b0d502dd09c96e6aad5c780b72d789bf150ac8d0c12b6

Observation 833a27fa-6f07-4fe8-8c57-a2b0196584c7 · outbound

This paper cites Li and S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Li and S

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:52.401852Z

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.

source=pdf_text observed=2026-08-06T00:55:42.275516Z digest=sha256:17f5e287e74a80c7425f9f14bc0ca01b5fd61118cb8914234afc1cc4c4c1569b

Observation f82e51b7-e1ea-4139-9810-f485a83bbcf4 · outbound

This paper cites Temme, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Temme, S

Reference 68

Resolution
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raw_fallback, observed 2026-08-06T00:55:52.151567Z

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.

source=pdf_text observed=2026-08-06T00:55:42.392560Z digest=sha256:fe5be788f041422e0fd1ef779f520482d50a672b002ba6c66a145482b2e38adc

Observation b956ef12-2c7b-465e-b635-33f63390054d · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:51.955872Z

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.

source=pdf_text observed=2026-08-06T00:55:42.495247Z digest=sha256:95e03320ce0923e65ba0a52a6f142b6e1216d49e29137754cdc716b81fa1766e

Observation aade3545-9f04-4ac9-bc47-769e8fbe35f9 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:51.766563Z

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.

source=pdf_text observed=2026-08-06T00:55:42.576555Z digest=sha256:eb467a409e37a09b00a971f705a33403a4c77ffcda4fec31da810860aeea33a5

Observation e35eb930-d71d-43a1-89fe-b8d25674b78e · outbound

This paper cites Pokharel, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Pokharel, S

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:51.482707Z

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.

source=pdf_text observed=2026-08-06T00:55:42.682667Z digest=sha256:29d66c760d883605d0bc5591a66892c2f264d238aa78ba3d39a382d01525147a

Observation e5d8d65f-c48f-4b13-b3cd-05fc06eaac01 · outbound

This paper cites Bravyi, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Bravyi, S

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:51.209240Z

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.

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Observation e7fb1c42-1cef-49e7-a0d3-26d89ea82af6 · outbound

This paper cites Weaving, A.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Weaving, A

Reference 73

Resolution
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raw_fallback, observed 2026-08-06T00:55:50.916164Z

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.

source=pdf_text observed=2026-08-06T00:55:42.812201Z digest=sha256:643a97379f3ff1a0ae5d0d3fbced2808aed65c91be45990386ea3f583648da43

Observation 3ef85943-537c-4178-9c14-529d5b7df7ca · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 74

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unresolved
raw_fallback, observed 2026-08-06T00:55:50.656884Z

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.

source=pdf_text observed=2026-08-06T00:55:42.873629Z digest=sha256:b91cb42aefb12865163404ebf775da71d44affb74a7659a7087305be2c1c2eaa

Observation 686d8c63-dae0-468e-9c32-d264e9782162 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 75

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unresolved
raw_fallback, observed 2026-08-06T00:55:50.407508Z

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.

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Observation c51b29cd-519a-44be-bed9-1fbc91f37ca7 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 76

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raw_fallback, observed 2026-08-06T00:55:50.092025Z

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.

source=pdf_text observed=2026-08-06T00:55:42.994797Z digest=sha256:edea6c7953f7016404dee41da623451a79d425ee33ca1eecf2cd505f7854a303

Observation a2f523ad-1fed-4534-bcb5-ce03246c93eb · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:49.837733Z

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.

source=pdf_text observed=2026-08-06T00:55:43.059803Z digest=sha256:0037a32e862a8790ce29cf978a49f9ac42c65de5c6623e9a6cf296d15c52d08c

Observation 813d3513-c279-4267-88a0-e1a9e42ab57c · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:49.580847Z

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.

source=pdf_text observed=2026-08-06T00:55:43.143446Z digest=sha256:e496a10e51d87d3076f5f52fce332030d70137c6190d71c7e334cfcaddb14c69

Observation 3422cb9b-6dc9-4c07-8282-740c8ed81c5a · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 79

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unresolved
raw_fallback, observed 2026-08-06T00:55:49.339519Z

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.

source=pdf_text observed=2026-08-06T00:55:43.212389Z digest=sha256:e8a45e6d10cd53df7d95022e0d12acd5a6a4b33e25d8c687c24c18d155997178

Observation f7511c7e-7e22-4e8c-981b-2adec908d82d · outbound

This paper cites Quantum circuit scheduler for QPUs usage optimization.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Quantum circuit scheduler for QPUs usage optimization

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T00:55:43.297483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:43.297483Z digest=sha256:fa2eae0deacbda998711da46e78e02b50c321eb55e9afcbcf9ef69b58d47bf8e

Observation 9b8cfd39-88f9-43d2-96fd-69b83fb47cb3 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:49.064584Z

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.

source=pdf_text observed=2026-08-06T00:55:43.406860Z digest=sha256:d567058034202be89368281c2b5030b202aea8983e63d26730818796fb1f1d19

Observation 28443633-65fc-4b81-940f-42631483ba65 · outbound

This paper cites Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T00:55:43.479503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:43.479503Z digest=sha256:e64267e17037196435cf38d407795c80241f75cb66addb9b66ba988b529a004e

Observation a9ff45f9-6b61-4c9b-8593-7d7fb9e21596 · outbound

This paper cites Robledo-Moreno, M.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Robledo-Moreno, M

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:48.697409Z

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.

source=pdf_text observed=2026-08-06T00:55:43.561240Z digest=sha256:b77673e3223c824c764d0ccffcaf7df32b4f4a13635d9d0cc8af87498658b20a

Observation 6b7aded8-9a48-462e-8934-06cc63c1da29 · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:48.406985Z

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.

source=pdf_text observed=2026-08-06T00:55:43.654073Z digest=sha256:d82c726c429b0624c0eab94851907618f8357bc9239d2e41321e42015f542834

Observation 4fd3ce3b-6324-4f68-a5a0-175bdcdd9bc3 · outbound

This paper cites Cutting Quantum Circuits to Run on Quantum and Classical Platforms.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Cutting Quantum Circuits to Run on Quantum and Classical Platforms

Reference 86

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no resolver link, observed 2026-08-06T00:55:44.051169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:44.051169Z digest=sha256:35bd2d17c9e299f8759aea88b1c54820fab1df8e61a1ba70c74e1e8814362fa4

Observation 1431e168-d13e-47e9-b27d-5564ed324f2a · outbound

This paper cites Boixo, S.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Boixo, S

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:47.794076Z

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.

source=pdf_text observed=2026-08-06T00:55:44.184662Z digest=sha256:2bde8070331291da1b6cc8904d4c4400bb462b26935930abb582401b045a5659

Observation 8598d5ce-7182-44b0-9e87-bff867bd2bb6 · outbound

This paper cites Arute, K.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Arute, K

Reference 88

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raw_fallback, observed 2026-08-06T00:55:47.509709Z

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.

source=pdf_text observed=2026-08-06T00:55:44.333285Z digest=sha256:335a6b5256019ea806c7627c8ab45fb3becbe15d6e01c810e0e8b90766d21bde

Observation 679d0ea9-22cf-43b1-b320-2ccd088628c7 · outbound

This paper cites Piveteau and D.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Piveteau and D

Reference 89

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raw_fallback, observed 2026-08-06T00:55:47.262509Z

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.

source=pdf_text observed=2026-08-06T00:55:44.513321Z digest=sha256:19790ebec6eb41abc9eb81b6d93f4058a0dcb89aba49b5afc257a2c54a056cd1

Observation 64e8194f-e3a5-4040-bf4c-4f42dfe831fc · outbound

This paper cites an unresolved cited work.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:46.944733Z

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.

source=pdf_text observed=2026-08-06T00:55:44.701117Z digest=sha256:f21d257d01ce9bc447d61cffd68d3aeb0054132003b912f93b3acca878bc0d42

Observation 9537d7ab-92a4-4642-8b1e-103e58840b14 · outbound

This paper cites Schneider, L.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Schneider, L

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:46.636694Z

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.

source=pdf_text observed=2026-08-06T00:55:44.886635Z digest=sha256:3cb927ef27fa28a4c9c2222ecc644df28764f5dd33a7954cab191d9c320e203e

Observation e806a51b-7e3f-4b06-b9b2-f21db43d15a4 · outbound

This paper cites Aaronson and D.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Aaronson and D

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:46.306975Z

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.

source=pdf_text observed=2026-08-06T00:55:45.053290Z digest=sha256:7d2b1735f932c1546c123169133d59538c83566d75fb1e909e06c08c92cc8a8b

Observation 33ed9917-a4ba-4f8c-8c9c-a4b38e3fb834 · outbound

This paper cites Bravyi, R.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Bravyi, R

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:55:46.020113Z

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.

source=pdf_text observed=2026-08-06T00:55:45.180388Z digest=sha256:2f24fc6878d0c973235ed38b3a66c8d8a71b0d02f1476114ee3d474df8460ecb

Observation e4edeb2f-82ac-4d30-a4b0-35c24e429522 · outbound

This paper cites Peham, N.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Peham, N

Reference 94

Resolution
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raw_fallback, observed 2026-08-06T00:55:45.750375Z

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.

source=pdf_text observed=2026-08-06T00:55:45.306822Z digest=sha256:a7a0cb9ae199adba384b6f9375216284797f2c6027e3dab96ce40083a385307f

Observation ddf303cd-492a-4834-9086-79623051bcb7 · outbound

This paper cites Variance-Preserved Shot Reduction.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation Variance-Preserved Shot Reduction

Reference 1000

Resolution
malformed identifier
no resolver link, observed 2026-08-06T00:55:35.701760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:35.701760Z digest=sha256:49d960ba376882e6c14af3b05d9dd8df23828495efd330a1f87b88aae1777b4e

Pith citing papers

No inbound Pith citation observations are available.