Paper Citation Record · LEDGER

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.00730.

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

pith.paper-citation-record.v1
2606.00730 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T18:37:04.298448Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact4
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24b70429-fdf5-4457-b59e-458fc2b77b37 · outbound

This paper cites 2006 , publisher=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning 2006 , publisher=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5bc689-134e-4501-987f-d74df1aab622 · outbound

This paper cites Journal of Convex Analysis , volume=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Journal of Convex Analysis , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da17abd-7f6c-4874-8437-7a3fa9b01203 · outbound

This paper cites 2021 American Control Conference (ACC) , pages=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning 2021 American Control Conference (ACC) , pages=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541b3655-ad7d-4fc4-9b02-908e80d87584 · outbound

This paper cites IEEE Control Systems Letters , volume=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning IEEE Control Systems Letters , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14620c68-2838-46e6-ad54-b67071d8b436 · outbound

This paper cites , author=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning , author=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466f06d9-53b4-4e6f-a7d9-3ba16e88726a · outbound

This paper cites EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.546638Z

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.

Observation 3a3e3bde-e86c-4764-9f9a-b54054122568 · outbound

This paper cites 2022 IEEE 61st Conference on Decision and Control (CDC) , pages=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning 2022 IEEE 61st Conference on Decision and Control (CDC) , pages=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f4b88c-61f9-4115-8f3f-89b0f25306e5 · outbound

This paper cites Differentiable Constrained Imitation Learning for Robot Motion Planning and Control.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.541793Z

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.

Observation 71598e03-c2d6-421e-aba2-83003b5f1dde · outbound

This paper cites Mathematical Programming , volume=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Mathematical Programming , volume=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af543dbc-4695-433c-a8ce-66e79cb37a63 · outbound

This paper cites Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction , pages=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction , pages=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9083829-4d26-466c-a76b-3198aca2f0da · outbound

This paper cites arXiv preprint arXiv:2506.22428 , year=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning arXiv preprint arXiv:2506.22428 , year=

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.543427Z

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.

Observation cd4f77e2-8c3c-4846-8dfc-6b4ad42ee77e · outbound

This paper cites 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T18:37:04.298448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbb3eb3-cfb3-41fd-9b22-3fddc56162e2 · outbound

This paper cites Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.535797Z

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.

Pith citing papers

No inbound Pith citation observations are available.