Paper Citation Record · LEDGER

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.22467.

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

pith.paper-citation-record.v1
2607.22467 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:44:25.874613Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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 exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ec3c776-9ce9-4874-9a4e-6b0f76568d58 · outbound

This paper cites Foun- dations and Trends in Machine Learning16(4), 494–591 (2023).

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Foun- dations and Trends in Machine Learning16(4), 494–591 (2023)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.841638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7404a5a1-b165-43a1-8b74-b1d5f1d0bbce · outbound

This paper cites Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.845165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6eb707d-8f41-41a1-bfca-09d91de6d160 · outbound

This paper cites The Journal of the Astronautical Sciences72(6), 62 (2025).

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates The Journal of the Astronautical Sciences72(6), 62 (2025)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.848510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8463fcc-c748-47b6-806a-7246ac4affb0 · outbound

This paper cites Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-01T04:49:39.623851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9726a62b-c6d4-4524-8ebd-5cc0516d732b · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Advances in neural information processing systems33, 6840–6851 (2020)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.854215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b20353e4-e61b-4326-a2c4-3afa6b7d3e8f · outbound

This paper cites Aligning Diffusion Model with Problem Constraints for Trajectory Optimization.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates Aligning Diffusion Model with Problem Constraints for Trajectory Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.856933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c3f3d05-e9cd-465c-83c7-9eb519df70f6 · outbound

This paper cites In: Ozay, N., Balzano, L., Panagou, D., Abate, A.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates In: Ozay, N., Balzano, L., Panagou, D., Abate, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.859879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6255b6-963d-49f3-8796-7f92bd87f9cf · outbound

This paper cites In: Blasch, E., Darema, F., Metaxas, D.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates In: Blasch, E., Darema, F., Metaxas, D

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.862239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 735c63a1-ac70-4ed1-beee-9e1871cfccde · outbound

This paper cites In: AAS/AIAA Astrodynamics Specialist Conference.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates In: AAS/AIAA Astrodynamics Specialist Conference

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.864536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05cd2db-5811-4afb-bdf5-e9ed1aeffe98 · outbound

This paper cites GLENS: Global Search via Learning from Solver Iterates with Diffusion Models.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates GLENS: Global Search via Learning from Solver Iterates with Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.866904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c883d6-5e65-478e-afc6-4b3545ebda69 · outbound

This paper cites In: Inter- national Conference on Algorithmic Learning Theory.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates In: Inter- national Conference on Algorithmic Learning Theory

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.869564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043f8494-9e75-4fd6-a240-78be70a987d0 · outbound

This paper cites In: Proceedings of the eleventh annual conference on Computational learning theory.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates In: Proceedings of the eleventh annual conference on Computational learning theory

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.872223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f184a6-aa50-4895-9cd3-d249933c5eb6 · outbound

This paper cites MIT Press, Cambridge, MA, 2 edn.

Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates MIT Press, Cambridge, MA, 2 edn

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T04:44:25.874613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.