Pith. sign in

Paper Citation Record · LEDGER

Enhanced PDHG for Linear Programming with Online Preconditioning

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.17650.

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

pith.paper-citation-record.v1
2506.17650 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:25.287314Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7080f9f-2ccb-46a7-bbc9-5cb8f47715f8 · outbound

This paper cites Practical large-scale linear programming using primal-dual hybrid gradient.

Enhanced PDHG for Linear Programming with Online Preconditioning Practical large-scale linear programming using primal-dual hybrid gradient

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:26.517269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:23.424744Z digest=sha256:64c1f9bf10aa294d0b1eb09fa0c59971790dabd6227f3364efeba2b21d253a33

Observation 996ea964-7e4c-4a5b-acf3-4c03f1f408cd · outbound

This paper cites Pdlp: A practical first-order method for large-scale linear programming.

Enhanced PDHG for Linear Programming with Online Preconditioning Pdlp: A practical first-order method for large-scale linear programming

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:23.515677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:23.515677Z digest=sha256:63c444daaf1f704381e64a347a93473bc4bd0f7c73c17c405ee6ac2a03c19348

Observation edcbd31f-f900-4d1e-a71c-500580544cb5 · outbound

This paper cites Online learning rate adaptation with hypergradient descent.

Enhanced PDHG for Linear Programming with Online Preconditioning Online learning rate adaptation with hypergradient descent

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:26.345291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:23.584738Z digest=sha256:497acf3e04f401ce8822abb95c9298faf56178c1c272307a51d693e1089be4c3

Observation 0c6a470f-6ee9-4c1c-9f02-6655826c5fc1 · outbound

This paper cites Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent.

Enhanced PDHG for Linear Programming with Online Preconditioning Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:25.620841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:23.707323Z digest=sha256:1974f95d2cf2dc63c30f39ce0c4f50b61b7079666914732180197e7ffba6e5d8

Observation 71721720-53cd-47c3-94e6-1918a2aa43a4 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Enhanced PDHG for Linear Programming with Online Preconditioning Adaptive subgradient methods for online learning and stochastic optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:23.867683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:23.867683Z digest=sha256:f7497dcd9205971641f482612fe552d1c1ded9f3d4971e687239df7f175deb6a

Observation e8c89bf7-c7bd-4509-83aa-2b04b4e347c3 · outbound

This paper cites Gradient Methods with Online Scaling.

Enhanced PDHG for Linear Programming with Online Preconditioning Gradient Methods with Online Scaling

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.034634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.034634Z digest=sha256:2f189ba13886c468582d61777997211eac5881aea2d16f36b2ed341592a27352

Observation ff55bcce-22c1-47d3-8546-124f443adfee · outbound

This paper cites Gradient Methods with Online Scaling Part I. Theoretical Foundations.

Enhanced PDHG for Linear Programming with Online Preconditioning Gradient Methods with Online Scaling Part I. Theoretical Foundations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.103094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.103094Z digest=sha256:44f392408c5beb9661c6d4245ecaa63bbf926ffdfcdcb6675cdbaf7ddf1e9160

Observation 4586050a-fe11-46c1-a52f-6eb41a0c0a16 · outbound

This paper cites Electronic mail distribution of linear programming test problems.

Enhanced PDHG for Linear Programming with Online Preconditioning Electronic mail distribution of linear programming test problems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:26.200414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:24.246543Z digest=sha256:a35f43f26e17f5f4bc69866b3fa77cf83b5d9672bb61588390ef748ad7055610

Observation 959c05ba-7eb2-4b5b-a3e2-f83f501b6df5 · outbound

This paper cites Miplib 2017: data- driven compilation of the 6th mixed-integer programming library.

Enhanced PDHG for Linear Programming with Online Preconditioning Miplib 2017: data- driven compilation of the 6th mixed-integer programming library

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:26.061374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:24.412181Z digest=sha256:3a4a713132344e13969d8c983d11a8a097c9c743edb368747fc1e3f34bc44a38

Observation d989ddf6-5215-4cc7-943c-6c4ec6a9795a · outbound

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

Enhanced PDHG for Linear Programming with Online Preconditioning cuPDLP.jl: A GPU Implementation of Restarted Primal-Dual Hybrid Gradient for Linear Programming in Julia

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.525220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.525220Z digest=sha256:900f376ad04520e8eea03068a75ed5e0b7a152eab82d8833d5f8c79ae74ef79e

Observation f1d4e34f-0a47-42eb-8705-6596e0232c8a · outbound

This paper cites On the geometry and refined rate of primal–dual hybrid gradient for linear programming.

Enhanced PDHG for Linear Programming with Online Preconditioning On the geometry and refined rate of primal–dual hybrid gradient for linear programming

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.635426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.635426Z digest=sha256:0bb0fa38a6a6e16267131509ca9ec8233632b5b2643d9f9ee0f541f0ddd062f9

Observation 71fc8e91-0bfb-4570-bb7d-92bbdf9a03a4 · outbound

This paper cites Restarted Halpern PDHG for Linear Programming.

Enhanced PDHG for Linear Programming with Online Preconditioning Restarted Halpern PDHG for Linear Programming

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.778419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.778419Z digest=sha256:8cbc94237238c5912c76b412fd70306e4fee7f986d72c70e6fb6c0b3aad6adbd

Observation 0e93a74b-aef9-4656-8be6-9e5b42b006e4 · outbound

This paper cites cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language.

Enhanced PDHG for Linear Programming with Online Preconditioning cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:24.925432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:24.925432Z digest=sha256:f1ab2c1e57520b2539fdcfbaa42653cdb6b43936643247728808b9612a1eeff3

Observation a2ca0d1d-3142-4559-8b04-58a9d56efd94 · outbound

This paper cites Diagonal preconditioning for first order primal-dual algorithms in convex optimization.

Enhanced PDHG for Linear Programming with Online Preconditioning Diagonal preconditioning for first order primal-dual algorithms in convex optimization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:25.905844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:35:25.040826Z digest=sha256:218450f30bae2f862771b58a3c155eda9b41e5967eb0088a3f70d244deff8a31

Observation 8f023b63-40a7-4357-985c-37943538a790 · outbound

This paper cites A scaling algorithm to equilibrate both rows and columns norms in matrices.

Enhanced PDHG for Linear Programming with Online Preconditioning A scaling algorithm to equilibrate both rows and columns norms in matrices

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:25.171789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:25.171789Z digest=sha256:d8f8b57b870b423c81f1e6db4eef27a9980a3f09aaa37ba19d5582eaecb95cbc

Observation fb1783d8-cbad-4504-8b96-3c20d5626163 · outbound

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

Enhanced PDHG for Linear Programming with Online Preconditioning The Role of Level-Set Geometry on the Performance of PDHG for Conic Linear Optimization

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:25.287314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:25.287314Z digest=sha256:e1ebddb8055748676ada45e6a53be9d4575d333d0f954ac469a55f266c3ca62e

Pith citing papers

No inbound Pith citation observations are available.