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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 7 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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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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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

Reference 25

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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

Reference 27

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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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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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source=pdf_text observed=2026-08-06T00:55:39.593725Z digest=sha256:07f0b92bdd0a43e7e53ab71800ae7c3f30772aacfc1d9824801eb3d0a7d1d495

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=sha256:8d897e90a2f7614690bd7b7fab2b851caabe92edb24c83b9f96de38e480b0f52

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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raw_fallback, observed 2026-08-06T00:55:56.634377Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:39.826047Z digest=sha256:eef7ab1f220f5c28c909dff0cbc5847229528e750f5c28ae9ab401cbce0209e7

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:e10b117768cef32fcd71623f9687d77dc1eb4f39528d1807a61cd07ee30a9a93

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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raw_fallback, observed 2026-08-06T00:55:56.170130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.015980Z digest=sha256:de7b389ae3dad7f4ac1b8c18009f6d683a42d6890bc6996e7b7731a898c3db10

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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raw_fallback, observed 2026-08-06T00:55:55.930203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.074911Z digest=sha256:2b66154e7584d73d60991f85e19f9d070e80b31d107c99244cdec2d05bdd2c86

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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raw_fallback, observed 2026-08-06T00:55:55.682378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.124144Z digest=sha256:1525fe689947b7717cad4943f4225b35dc8972d6383059057777a683fc7cfd95

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:55:55.444742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.196307Z digest=sha256:36e812bc9ccf452016807b64872aaecd7a92b50995c85cff932de6a017b418c7

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.249799Z digest=sha256:af23764583997ffed9b2cea9f20aba205ea5bb049800f0dee44432adf6dff897

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.308445Z digest=sha256:2fed5d9d5fbb89f1968c95d61d3494cf032ab4e9c18307a047806cf657736fc5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.095463Z digest=sha256:0b250d70c98e3d3604bd645cd0c665727b6d4a0892008b8b6af1df1ba15208fd

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.410033Z digest=sha256:4abdf6a8cd2877e0f7ab97d50b93d18523a1e539cd775ef43642624237f148cb

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

Resolution
unresolved
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:e11f48ae05bd383afa697a8c43179f64dc2f3cf959125102b1cd70eddcc2f7ef

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.590015Z digest=sha256:d108a0f36aa9335c40762f9ac01cc1f93dbbe0d643ea3144020fe5489cd0128a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.639953Z digest=sha256:cc401afb075b1b4b25d0ff60d2e06b10747395a1d292e3a5b0f318f5b71afb1d

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

Resolution
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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:bf037f13ed1b6bbead333eb6196ea68011cf5e7948430580f9b816e634e80e29

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.804782Z digest=sha256:629fa96bdf2f3ca154953e897e2fbc82c58ca172464aaedc75924c29fd9dfcb7

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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raw_fallback, observed 2026-08-06T00:55:54.063533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.897706Z digest=sha256:eadb79ad3fad96c8591b9c3da98ddccbb46dd899f5f7f0d0ccacf6cd1635f271

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:40.967976Z digest=sha256:95d0fc3e2476adb55f3d6899c475dae945ef4f5d68ae6e66d235b92e94974d6a

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

Resolution
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.061494Z digest=sha256:3909d623f0b6baa906209299c205473a5d1051a536ed1ababb913240ffdc54e6

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.166995Z digest=sha256:3cc8e167dc83c55c404dfe41bcaec0a9e617919c09e779c9841367f6ef797ce6

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

Resolution
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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=sha256:3ced86d6948653754bde8765bfcc8ae84a318b9b139481f713685e752bc9de8d

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.390630Z digest=sha256:451c63fe69a9f7ce81f2cbc877a296c112c39002b13f45047ba762086cab001a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.461964Z digest=sha256:98a24186eec3d159e28456c001e6f9c0a13cb28bbbbe33190bcc119b11dc7d3b

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.508689Z digest=sha256:ab329fefcfc412003c7906abb062540e40c1b5792c089a0a29a28be7b2735a8e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.575048Z digest=sha256:0f020de8448c945ff25c63950d5b24a08bd124e290f60f61965e90910e8c2582

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.625452Z digest=sha256:d9cf1084647795019c3d2652ccbdb946cb5363485c6133b079c2ecbeb9b4a0d8

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

Resolution
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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.736264Z digest=sha256:ecb2a9fa01cc057f78e16c8a91c9e110405f76c6aaf6b8c0640a88d6e6961fe2

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:41.870676Z digest=sha256:36599addbbc439ec6e7f1ed803a55b1fc093106364c6d4f6ae445b8e897705a4

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.011379Z digest=sha256:220137e85771b0d5766ea553da59f6a56c216f3ec2baac32cf987aedf3e18a7b

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

Resolution
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.887992Z digest=sha256:3f7b8282d7f1aa5b3b012ed5a6a6f2ceeabe992f38e45b129e65c2d80968f68a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.176586Z digest=sha256:2c2e94a2e5886556de75a44d8b16f1e9dc66e0a74b1130be2477ddeeb8d153e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.275516Z digest=sha256:1545b80d6078edc71f28d8a939af09fcf4008b1ab681896da83d4a3eb926a162

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.392560Z digest=sha256:ced88f315ace558c4bb02c8e7c92bd3371df58d25e20b6b3c4ce7279587769ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.495247Z digest=sha256:391c6053ad2f33a9e21beb88298e25775368dba6248b61abf6199c27b33a8d16

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.576555Z digest=sha256:7aa381bc64684bfbfe76b89077431912072faebbda70176028af010fd9fba799

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.682667Z digest=sha256:af3a899b820cde9658331645f0c7c469e8e1941778465544550c7b5fb5a9a89d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.747618Z digest=sha256:1c6b2396bfb27a30b8300de39e03c7cde759eee37846f840eef4f3c24cd4a763

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.812201Z digest=sha256:b0f1db17dda4b0e295d047f020632d392f1b33e194db8ccf44ae50a5b4754f9b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.873629Z digest=sha256:f2ff3e4f70c17cd17ac268975cd749d92d30bb77da3b14d11bed0f4c14d4887b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.931018Z digest=sha256:2ee916f26da9a2dcf92b332ef8d89ba12621ebc6662a6aee82b8e8b407f743fe

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

Resolution
unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:42.994797Z digest=sha256:dfa3d76b46b3cbc6c2dc83c04d8103997329ae20ef3d2e3df26f260eeaa88257

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.059803Z digest=sha256:a940dbce1cd6777cac246e47b84983aca51dc1946d18474c7357ca81eca56339

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.143446Z digest=sha256:d1c04714dda6f350a42516c199ca863a25e9eb94e01d4e6d66ae616696472e0a

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.212389Z digest=sha256:bd6681be76317feb6354cc3e7abf9687bda2391ae2a353e81bd151c71a98bf5c

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:efa3cf7789dbf4c987105dbb83d8c8806d5cb0fc551946d66a422c1ee0468af8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.406860Z digest=sha256:5a6c11edcd743144b4e1794083e713f2bed41a89b4397f4bfda0d393bd0e4192

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=sha256:482fb68c3e584da3351edcbd0ba7818535e01f482e4cfe6e6269784c505f0025

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.561240Z digest=sha256:e597beae81965d0d2969267c3085bd0f86278912d2d751bcfd51e62adf5d6a26

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:43.654073Z digest=sha256:751e144abb2ed35f28faf2d2dc54546684d28aa5dc867ec4eedb652e748b137b

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

Resolution
unresolved
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=sha256:07365855b15fa2ea76127337e0c1d43920e8379b8230c1c0e83a48bc66a63b3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:44.184662Z digest=sha256:9c4c9341e261a096b4fc468be71af9cf4d485d276224afaf0390f3f547d8378e

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:44.333285Z digest=sha256:1a9a7a80a8ccd6f09d6a2e5dd928627a224ba24be660fc6eedba892d3f190db7

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:44.513321Z digest=sha256:10b326140c56de329631f1be5e514f396c25372dbd5ea0df0b12015e675ad2b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:44.701117Z digest=sha256:014a3baaaa4fe01a2397ee1dd06badd3ec7af3bc084f502f5f293f23338d1320

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:44.886635Z digest=sha256:d09aa27668738ef769234e29aa0e9f7f9b50f9a5e3fb5eda275a4f65dd1c06a6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:45.053290Z digest=sha256:a74e9962b5244aaec33c3f2603c50eba912d10c286b5d25e5441ee6dfdfe0df8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:45.180388Z digest=sha256:ee97e6a977d5b6584d5eae0296f601b77097c3d3ee5060d90bb0d696078e43f3

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T00:55:45.306822Z digest=sha256:5984c229235e1a31b16182239328fb2e7f5520436d5c821e226cabefeeda141f

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=sha256:55e4cfcdea49d2342370cd361223930a8d54451d6fda1d71037bcd8451fb13b2

Pith citing papers

No inbound Pith citation observations are available.