Paper Citation Record · LEDGER

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives

As of 15 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2412.20679.

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

pith.paper-citation-record.v1
2412.20679 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:41.481027Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:39:35.258680Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T19:16:09.307154Z

Reference resolution

11 of 11 outbound references displayed

verified exact2
verified fuzzy2
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94f0caf-cd5f-4620-96e3-73b77fb7d912 · outbound

This paper cites Differentiable Convex Optimization Layers.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Differentiable Convex Optimization Layers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.431042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325fc8ac-8990-4a04-aed9-a919cf83981b · outbound

This paper cites Differentiating Through a Cone Program.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Differentiating Through a Cone Program

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.436444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6e4b24-a456-4e9c-8dfc-de4f79be46cf · outbound

This paper cites OptNet: Differentiable Optimization as a Layer in Neural Networks.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives OptNet: Differentiable Optimization as a Layer in Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.441520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5396aa6b-78c5-4639-b1fd-8f7eba9980b0 · outbound

This paper cites On the Differentiability of the Solution to Convex Optimization Problems.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives On the Differentiability of the Solution to Convex Optimization Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.446558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f96a9a1a-9cb3-4949-b775-f51cba29e01c · outbound

This paper cites Convex Optimization.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Convex Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.452215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c22a1ac-2fb0-4ff8-b272-1f0153357ae6 · outbound

This paper cites On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.456630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c7c166-1175-458b-8e3f-ebf66f70d3db · outbound

This paper cites Grant, S.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Grant, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:41.802243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1932c5fe-ffe5-4295-ad38-ebae0889f87e · outbound

This paper cites Cvxgen: A code generator for embedded convex optimization.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Cvxgen: A code generator for embedded convex optimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:21:41.786475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3903d633-827f-4c3a-b271-8df6cbdd0f5e · outbound

This paper cites Paige and Michael A.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Paige and Michael A

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:41.472378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4deee607-8a3f-4ca5-86d5-433ad137696e · outbound

This paper cites an unresolved cited work.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-10T23:21:41.514932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3dbe38aa-445a-46dd-90d3-813052c34235 · outbound

This paper cites Todd, and Shinji Mizuno.

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives Todd, and Shinji Mizuno

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T23:21:41.594003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation bbcdbf0e-1402-4b62-8226-2995369ae99d · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T08:39:35.258680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fac4301-f118-4b2c-bc90-2c430c6300c2 · inbound

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions cites this paper.

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:09.313162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.