Paper Citation Record · LEDGER

Differentiating Through a Cone Program

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1904.09043.

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

pith.paper-citation-record.v1
1904.09043 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:27.310225Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:57:07.583193Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3372fd67-0b84-4ed2-b3ae-ae8b22744ad4 · inbound

RAYEN: Imposition of Hard Convex Constraints on Neural Networks cites this paper.

RAYEN: Imposition of Hard Convex Constraints on Neural Networks Differentiating Through a Cone Program

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T07:26:03.689332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ffdbd41f-8d72-43d0-8442-e25e270c268c · inbound

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning cites this paper.

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning Differentiating Through a Cone Program

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:28:09.724403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3450d1-769a-46ca-9246-6a1319aad4f3 · inbound

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization cites this paper.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Differentiating Through a Cone Program

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T19:42:05.800088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives cites this paper.

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 f5acec36-c73d-4892-a09b-2055b4f72eb1 · inbound

Physics-Grounded Differentiable Simulation for Soft Growing Robots cites this paper.

Physics-Grounded Differentiable Simulation for Soft Growing Robots Differentiating Through a Cone Program

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T04:33:43.063373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e768b1-4fde-4063-8fbe-af49cccefadb · inbound

Code generation for solving and differentiating through convex optimization problems cites this paper.

Code generation for solving and differentiating through convex optimization problems Differentiating Through a Cone Program

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.310225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c152bfb0-4c10-49ea-8bcb-bb3979ab8b74 · inbound

Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes cites this paper.

Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes Differentiating Through a Cone Program

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:07:25.738531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5b6d94b-acb8-40d3-a0c0-43c54c41d5ec · inbound

Decision-Focused Learning via Tangent-Space Projection of Prediction Error cites this paper.

Decision-Focused Learning via Tangent-Space Projection of Prediction Error Differentiating Through a Cone Program

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:01:08.054349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e00b250-1dda-45a0-80fc-34f428e0137f · inbound

Decision-Focused Learning via Tangent-Space Projection of Prediction Error cites this paper.

Decision-Focused Learning via Tangent-Space Projection of Prediction Error Differentiating Through a Cone Program

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:39:13.177601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b540eca6-3628-4b57-b41e-d4cbf57e5561 · inbound

Parameter Estimation of Mutual Information Maximized Channels cites this paper.

Parameter Estimation of Mutual Information Maximized Channels Differentiating Through a Cone Program

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:37:07.923691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0e30b42-caac-4816-8302-42f772f632f9 · inbound

A Differentiable Interior-Point Method in Single Precision cites this paper.

A Differentiable Interior-Point Method in Single Precision Differentiating Through a Cone Program

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:03:14.651447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04a9477e-9fe2-4221-ad76-805879bfc243 · inbound

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming cites this paper.

Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming Differentiating Through a Cone Program

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:57:07.584825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f502aa4-4ab1-4e46-8e30-fe28e7a10434 · inbound

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers cites this paper.

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers Differentiating Through a Cone Program

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T09:44:53.087202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b35a651-6a29-4c1c-afab-c534e626f133 · inbound

Back from the Future: Key-Value Cache Management by Counter-Causal Surprise cites this paper.

Back from the Future: Key-Value Cache Management by Counter-Causal Surprise Differentiating Through a Cone Program

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-01T04:57:43.145481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0485bc-d38f-457a-ae99-269e6d642cba · inbound

Structured Differentiable Optimization for Efficient Decision-focused Learning in Power Systems cites this paper.

Structured Differentiable Optimization for Efficient Decision-focused Learning in Power Systems Differentiating Through a Cone Program

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T14:47:33.440169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.