Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:17:30.628329Z
Paper Citation Record · LEDGER
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2502.06978.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T16:00:08.393073Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:17:35.188845Z
Reference resolution
18 of 18 outbound references displayed
- verified exact2
- verified fuzzy9
- unresolved6
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f1e1ab22-7f8f-482b-9da9-864160c38651 · outbound
This paper cites Mak, and Pascal V an H entenryck.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Mak, and Pascal V an H entenryck
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-08T14:17:30.691764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0e485f68-b25e-47b7-9fbf-1921d7fb82ba · outbound
This paper cites DC3: A learning method for optimization with hard constraints.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow DC3: A learning method for optimization with hard constraints
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:30.551680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae6d4a86-d5b3-4f9d-9c44-3a208eb7381a · outbound
This paper cites D eepOPF-V: Solving AC-OPF problems effi- ciently.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow D eepOPF-V: Solving AC-OPF problems effi- ciently
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:31.031066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f34b5fbb-fc1a-4503-aeec-ee76ea7f5db8 · outbound
This paper cites End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:31.016574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e4e413e5-5946-4807-b7f1-0e3e1c7c5b32 · outbound
This paper cites Energy and operating reserve markets, 2022.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Energy and operating reserve markets, 2022
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:31.002099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9a30c585-79a7-4eed-b8e7-9c7fd223a7db · outbound
This paper cites Dual conic proxies for ac optimal power flow.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Dual conic proxies for ac optimal power flow
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.987869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6b84f6db-c7a0-483a-ad2f-f593376a1ef1 · outbound
This paper cites an unresolved cited work.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:30.576250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aec638d2-3ed9-4713-bfdc-d0db4fceecc1 · outbound
This paper cites Dual Lagrang ian Learning for Conic Optimization.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Dual Lagrang ian Learning for Conic Optimization
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.972743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 938e5043-89fe-4a07-86f7-e180b31c848a · outbound
This paper cites Molzahn and Ian A.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Molzahn and Ian A
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.957978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0a28ea0e-8dcf-472c-b072-cdf0966905a7 · outbound
This paper cites Strong SOCP re laxations for the optimal power flow problem.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Strong SOCP re laxations for the optimal power flow problem
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.942077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b753c5c-24ff-4db1-b60e-2119b5d2bba1 · outbound
This paper cites Semidefinite programming for optimal power flow problems.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Semidefinite programming for optimal power flow problems
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-08T14:17:30.666049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ca29f0bc-6b7c-4ae4-9712-3ee6a29ca730 · outbound
This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:30.599902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c35b36b-a980-47a8-99e6-39c108a89d95 · outbound
This paper cites Powermodels.jl: An open-source framework for exploring power flow formulations.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Powermodels.jl: An open-source framework for exploring power flow formulations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:30.604869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dbf52b9-15cc-4e18-a3b8-d8196296f7aa · outbound
This paper cites On the implementa tion of an interior-point filter line-search algorithm for large-scale nonlinear programming.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow On the implementa tion of an interior-point filter line-search algorithm for large-scale nonlinear programming
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.927591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 34fac700-4608-431a-8612-78247ded383f · outbound
This paper cites MOSEK Optimizer API for Julia 10.1.12 , 2022.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow MOSEK Optimizer API for Julia 10.1.12 , 2022
Reference 15
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T14:17:30.912929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2098c916-0aec-4af5-ba61-ca62c7479b95 · outbound
This paper cites an unresolved cited work.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T14:17:30.898621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dd17d858-c006-49ae-bbe7-7e9c259850ca · outbound
This paper cites Pytorch: An imperative style, high-p erformance deep learning library.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Pytorch: An imperative style, high-p erformance deep learning library
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:17:30.884455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6bf37e3d-e132-40c1-b619-dde76ab1f130 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow Adam: A Method for Stochastic Optimization
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:30.628329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation d0fd8b14-732f-40ed-841c-250267b47727 · inbound
Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms cites this paper.
Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T02:17:35.190337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.