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Paper Citation Record · LEDGER

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow

As of 9 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.

pith.paper-citation-record.v1
2502.06978 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:17:30.628329Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:00:08.393073Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.545896Z digest=sha256:94ca5a1327d464328874d229f1f854fdc016be21fdf9d900fc0b2e440d4c6350

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.

source=pdf_text observed=2026-08-08T14:17:30.551680Z digest=sha256:08b1cd36d37bfaa9fae2c48ae0d79539c684bac8b2a0f31b9a06b04ffa35e711

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.556843Z digest=sha256:a22ef0a5f25804a0e7b8e5a721ed42b3a4b5285bb56e7c2b002860083dde3d0e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.561553Z digest=sha256:038cc3346d2a9f76d94ca19901b0188c49104980607cf0e6acb1b2255ca9256f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.566563Z digest=sha256:42e9b2014fdafcb406e640165df70b3e8a565e3f464b37a74e894975ae4688fd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.571017Z digest=sha256:dc83c40b54cfb2ccf37a5fcaf196f3a58d8d31858a9f175d0bec6f881c5d0b12

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.

source=pdf_text observed=2026-08-08T14:17:30.576250Z digest=sha256:7c07a3f918ac93c9538807314cd0e8f09d6c6eb51b343f765c7d1cc9361b2344

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.581566Z digest=sha256:7b337a2c11ddb6dcb55e57cd44f8fdebc1587b6733c98229ceea2ff39ae6d0aa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.585947Z digest=sha256:293bb7242c4cff6e343a29623548be6a87a70b7c6998b291c74e79745de2d654

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.590529Z digest=sha256:d20ef0d680fc78a1d8183a156c66c37e388221d1a099f0859e54e31523bee7a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.595516Z digest=sha256:ff577d921cbe411c4df7e75b9b51f1e2b1ddf908209d0f41b3111dd0b0073c0e

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.

source=pdf_text observed=2026-08-08T14:17:30.599902Z digest=sha256:1e4aa597bbbee1e4860a9ab4084dd8b4f3f0a8db4e5278f4fc6e9041a69ffc57

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.

source=pdf_text observed=2026-08-08T14:17:30.604869Z digest=sha256:5a25a49135518f0f62ab6482b4b16fd0b1cfc7a89f0fd8075438cb80486791ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.609213Z digest=sha256:7106306f856ed488c81d0dce7080e766c8cd853d11f57f57919fa232831e8380

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.613778Z digest=sha256:ac2ff44ad1843d6bce9c49fb7e4fd07b4d1cd46e8db2cdb8579f9b838103604e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.619052Z digest=sha256:2b33907fb39d2bdf9bde2f128d44581d64950c5d3c88c309117cf9314ec2ef58

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T14:17:30.623919Z digest=sha256:594fabfbc720abd04bbffb26f21d0e066a88a9ac53c0bb3ed63bb07aa43da252

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.

source=pdf_text observed=2026-08-08T14:17:30.628329Z digest=sha256:cfea874d7b2914fa5ac385de13f219810e3b84260abd4279aed7e1624b5febbb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:00:08.393073Z digest=sha256:cfe3fbb40cfa40cccab61849bf0ea4cf6f08ca0c6f078b3354e21a9f45ee4190