Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:50:48.981156Z
Paper Citation Record · LEDGER
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.11869.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact2
- verified fuzzy10
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cbe688c8-0657-4b36-9200-58541ab254c5 · outbound
This paper cites fk is Lipschitz continuous with constantL =σmax(I +M), as∥∇fk(x)−∇fk(y)∥≤ L∥x−y∥.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting fk is Lipschitz continuous with constantL =σmax(I +M), as∥∇fk(x)−∇fk(y)∥≤ L∥x−y∥
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.321354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0dd9e94b-7770-48e7-81f1-e81c020771f1 · outbound
This paper cites an unresolved cited work.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:50:49.331333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5c03ccef-850d-4974-b164-f3a47b217cf3 · outbound
This paper cites an unresolved cited work.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:50:49.342079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa3aa50d-e54e-44be-9669-af44b8bb8c31 · outbound
This paper cites Inf. Time(s).
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Inf. Time(s)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.300443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2736fe33-1ee0-4e13-89c0-cff9b75dd35d · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Adam: A Method for Stochastic Optimization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:50:48.947457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1b1e006-3fb0-4e75-bab7-d874470adf92 · outbound
This paper cites an unresolved cited work.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Unresolved cited work
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:50:48.962645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9220cf42-12df-4b7e-8c29-d9354e53b75a · outbound
This paper cites Obj.”), feasibility satisfaction (“Max Viol.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Obj.”), feasibility satisfaction (“Max Viol
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.289702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88b40bd7-87b5-43ec-a3df-8ced6b3359f5 · outbound
This paper cites Therefore, ∀k > K,∃0 < c <1, such that∥wk+1−wk∥≤ c∥wk−wk−1∥ and thus∑ k=K∥wk+1−wk∥ < +∞.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Therefore, ∀k > K,∃0 < c <1, such that∥wk+1−wk∥≤ c∥wk−wk−1∥ and thus∑ k=K∥wk+1−wk∥ < +∞
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.310731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2503669f-59ca-422a-a25a-f8a43725cb32 · outbound
This paper cites On the douglas—rachford splitting method and the proximal point algorithm for maximal monotone operators.Mathematical Programming, 55:293–318,.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting On the douglas—rachford splitting method and the proximal point algorithm for maximal monotone operators.Mathematical Programming, 55:293–318,
Reference 1956
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.382203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 353af111-18e1-487c-bd8c-b2af740c7444 · outbound
This paper cites An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
Reference 1959
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:50:49.106817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dacdbeba-d6b8-49c0-be67-7381cc72480a · outbound
This paper cites The machine learning for combinatorial optimization competition (ml4co): Results and insights.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting The machine learning for combinatorial optimization competition (ml4co): Results and insights
Reference 1989
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.372527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7c3cdaca-986c-4727-8aef-a72a0d2e4988 · outbound
This paper cites Operator splitting for a homogeneous embedding of the linear complementarity problem.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Operator splitting for a homogeneous embedding of the linear complementarity problem
Reference 1999
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.362683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 604695da-3339-4d09-a299-0b11c37c0e0e · outbound
This paper cites Warm-starting ac optimal power flow with graph neural networks.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Warm-starting ac optimal power flow with graph neural networks
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.391544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 980018a0-b245-44c4-b6fa-b19188697a03 · outbound
This paper cites Learning warm-start points for ac optimal power flow.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Learning warm-start points for ac optimal power flow
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.401140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0da91e6f-753c-4900-8a4a-2a6a7a2a6531 · outbound
This paper cites Learning context-aware adaptive solvers to accelerate quadratic programming.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Learning context-aware adaptive solvers to accelerate quadratic programming
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:50:49.216779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1895e0f9-6b8f-456d-9501-9146f9803ea4 · outbound
This paper cites Expressive power of graph neural networks for (mixed-integer) quadratic programs.arXiv preprint arXiv:2406.05938,.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Expressive power of graph neural networks for (mixed-integer) quadratic programs.arXiv preprint arXiv:2406.05938,
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:50:48.931439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e45f70cd-be71-436c-8405-a359f327ff49 · outbound
This paper cites Learning to solve the ac optimal power flow via a lagrangian approach.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Learning to solve the ac optimal power flow via a lagrangian approach
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:50:49.352513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bb6b6ed2-1056-4b6c-be53-123a8c8439ef · outbound
This paper cites Mpax: Mathematical programming in jax.
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting Mpax: Mathematical programming in jax
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:50:48.950293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.