Paper Citation Record · LEDGER

Finite Horizon Optimization: Framework and Applications

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.21068.

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

pith.paper-citation-record.v1
2412.21068 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:12:21.558808Z

measured 44 of 44 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

44 of 44 outbound references displayed

verified exact6
verified fuzzy6
unresolved32
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 546c95c2-2337-4632-857d-7a7b632f4784 · outbound

This paper cites The Road Less Scheduled.

Finite Horizon Optimization: Framework and Applications The Road Less Scheduled

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.397869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567c364f-0dd5-45a7-9155-9dc56a6d02c2 · outbound

This paper cites Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes.

Finite Horizon Optimization: Framework and Applications Monitoring the Convergence Speed of PDHG to Find Better Primal and Dual Step Sizes

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:22.228820Z

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 1c4aeb2e-23d8-4cb6-b41f-56c5d3757154 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Finite Horizon Optimization: Framework and Applications Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.419598Z

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Observation 470fb68c-ed96-471e-b03e-5c79167ebafe · outbound

This paper cites Accelerated Gradient Descent via Long Steps.

Finite Horizon Optimization: Framework and Applications Accelerated Gradient Descent via Long Steps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.424627Z

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Observation fd557b3e-a216-4746-a173-1aaeaad64581 · outbound

This paper cites Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps.

Finite Horizon Optimization: Framework and Applications Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.429286Z

Source-reported events for the cited work

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Observation c4b11349-4173-4fe4-9e7f-29229d75c049 · outbound

This paper cites Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses.

Finite Horizon Optimization: Framework and Applications Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:22.166600Z

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 27289730-32ff-4eae-a35b-5ed115d01dc7 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Finite Horizon Optimization: Framework and Applications MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.438656Z

Source-reported events for the cited work

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Observation 8fea82ab-7e43-428e-8d50-3caf85992dce · outbound

This paper cites Simple and Scalable Strategies to Continually Pre-train Large Language Models.

Finite Horizon Optimization: Framework and Applications Simple and Scalable Strategies to Continually Pre-train Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.442808Z

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Observation 0b039b78-985e-46f9-bfa7-b6208799d1b3 · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.447433Z

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Observation 0ad527de-bc66-4100-840e-b93766124ec9 · outbound

This paper cites Kim and J.

Finite Horizon Optimization: Framework and Applications Kim and J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.600489Z

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 d49a4309-35a4-49e7-8993-7dab7aab0bbe · outbound

This paper cites Open Problem: Anytime Convergence Rate of Gradient Descent.

Finite Horizon Optimization: Framework and Applications Open Problem: Anytime Convergence Rate of Gradient Descent

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:22.029366Z

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 d9d48dd4-3410-485b-8ec1-98f12e10f69a · outbound

This paper cites On a Faster $R$-Linear Convergence Rate of the Barzilai-Borwein Method.

Finite Horizon Optimization: Framework and Applications On a Faster $R$-Linear Convergence Rate of the Barzilai-Borwein Method

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.471587Z

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Observation bc086469-12c2-42e6-b366-88ed8a95cc56 · outbound

This paper cites First-Order Methods for Linear Programming.

Finite Horizon Optimization: Framework and Applications First-Order Methods for Linear Programming

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:21.977352Z

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 887c6f2c-6429-45ae-b2de-41f58967edc3 · outbound

This paper cites cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia.

Finite Horizon Optimization: Framework and Applications cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.485041Z

Source-reported events for the cited work

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Observation 90805b76-3d8d-4426-8e87-fc0d3a2d861f · outbound

This paper cites Pedregosa.

Finite Horizon Optimization: Framework and Applications Pedregosa

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.559858Z

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 9f50b4f6-832c-4726-8b6b-d61b249c65cb · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.529143Z

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

Observation aa5150d4-87bc-4a27-9ae2-53949b9b663c · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.514319Z

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 21b13407-68be-44e5-89fe-c4946bcc8354 · outbound

This paper cites Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration without Momentum.

Finite Horizon Optimization: Framework and Applications Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration without Momentum

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.523284Z

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Observation f44b9824-60b9-4704-8b8d-fa781723021d · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.502028Z

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 3186ea5d-5ee9-4164-88a4-cdf1f102daba · outbound

This paper cites limiting error ratios.

Finite Horizon Optimization: Framework and Applications limiting error ratios

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.546510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73475c84-b6fe-426b-9752-013f9b71ec82 · outbound

This paper cites The Role of Level-Set Geometry on the Performance of PDHG for Conic Linear Optimization.

Finite Horizon Optimization: Framework and Applications The Role of Level-Set Geometry on the Performance of PDHG for Conic Linear Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.550451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5950db3-2094-43aa-807e-9eef4a93a85a · outbound

This paper cites Zhang and R.

Finite Horizon Optimization: Framework and Applications Zhang and R

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.554687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7e50c8-2b23-4719-b050-328b92223881 · outbound

This paper cites Anytime Acceleration of Gradient Descent.

Finite Horizon Optimization: Framework and Applications Anytime Acceleration of Gradient Descent

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.558808Z

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Observation 9274d1a5-c32e-42cf-9c12-ba01ed66d7eb · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 1916

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.587966Z

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 9ca2d112-7c3f-4a3a-b540-1fb2c703a512 · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 1964

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.544179Z

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 5447981b-2bdd-4186-9fd7-3caf805ee568 · outbound

This paper cites Performance Estimation for Smooth and Strongly Convex Sets.

Finite Horizon Optimization: Framework and Applications Performance Estimation for Smooth and Strongly Convex Sets

Reference 1984

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.489658Z

Source-reported events for the cited work

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Observation 1ddd38db-6b95-4f69-ba37-04a401a9b653 · outbound

This paper cites Rotaru, F.

Finite Horizon Optimization: Framework and Applications Rotaru, F

Reference 1988

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.510951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a5df44-434e-43e0-b2ed-7ca3510b8bec · outbound

This paper cites Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency.

Finite Horizon Optimization: Framework and Applications Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.538165Z

Source-reported events for the cited work

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Observation 0c98e636-51af-424c-b67c-8e8c5d0a1bd4 · outbound

This paper cites Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization.

Finite Horizon Optimization: Framework and Applications Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization

Reference 2004

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:22.440205Z

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 c5522ef5-0fbd-42bf-96bf-fedbc909e077 · outbound

This paper cites Cyrus, B.

Finite Horizon Optimization: Framework and Applications Cyrus, B

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.649408Z

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 1991d30f-5f2d-4f65-aa93-e785403edb00 · outbound

This paper cites Accelerating Proximal Gradient Descent via Silver Stepsizes.

Finite Horizon Optimization: Framework and Applications Accelerating Proximal Gradient Descent via Silver Stepsizes

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.366099Z

Source-reported events for the cited work

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Observation 9f0aed01-861c-4bfd-9629-aa0ab0e08628 · outbound

This paper cites an unresolved cited work.

Finite Horizon Optimization: Framework and Applications Unresolved cited work

Reference 2011

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:12:22.665762Z

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 2039f301-2acb-4436-9741-931016fbfa4d · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

Finite Horizon Optimization: Framework and Applications Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.414287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ead4909-44b1-4561-9e13-a440a2216941 · outbound

This paper cites Accessible Complexity Bounds for Restarted PDHG on Linear Programs with a Unique Optimizer.

Finite Horizon Optimization: Framework and Applications Accessible Complexity Bounds for Restarted PDHG on Linear Programs with a Unique Optimizer

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.542142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2291a111-691c-442d-b9f5-c51c8e722e01 · outbound

This paper cites O’Donoghue.

Finite Horizon Optimization: Framework and Applications O’Donoghue

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.574419Z

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 63f3c640-103c-470d-8dc5-588a0c7a6f96 · outbound

This paper cites PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.

Finite Horizon Optimization: Framework and Applications PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.466744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba7a553-b9ce-4a5e-8e85-98f80103457a · outbound

This paper cites De Klerk, F.

Finite Horizon Optimization: Framework and Applications De Klerk, F

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.633228Z

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 3fc8eec5-94cc-41ef-bbc3-9fdc61a8131d · outbound

This paper cites Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule.

Finite Horizon Optimization: Framework and Applications Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:12:22.486211Z

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 718fb3a1-201d-40cc-afb6-31d2a24e40a3 · outbound

This paper cites Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective.

Finite Horizon Optimization: Framework and Applications Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.533345Z

Source-reported events for the cited work

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Observation 98ed32a8-29f2-4c6a-9684-2237ec2a4dc7 · outbound

This paper cites Optimal Linear Decay Learning Rate Schedules and Further Refinements.

Finite Horizon Optimization: Framework and Applications Optimal Linear Decay Learning Rate Schedules and Further Refinements

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.393117Z

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Observation eb6d3005-e621-44ba-99b7-b248b9568c8f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Finite Horizon Optimization: Framework and Applications SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.476018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d831b19-5307-434c-acc7-6f7eb47f9294 · outbound

This paper cites Kiessling, A.

Finite Horizon Optimization: Framework and Applications Kiessling, A

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:12:22.617602Z

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 66da7035-4440-468c-a2d2-753296fc4a5e · outbound

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

Finite Horizon Optimization: Framework and Applications The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.360441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a0249d-de06-4769-ab87-64b95b0c86f1 · outbound

This paper cites An Enhanced ADMM-based Interior Point Method for Linear and Conic Optimization.

Finite Horizon Optimization: Framework and Applications An Enhanced ADMM-based Interior Point Method for Linear and Conic Optimization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T23:12:21.404065Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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