Paper Citation Record · LEDGER

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.01908.

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

pith.paper-citation-record.v1
2406.01908 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:57.423732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:33:25.972540Z

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 8e858feb-a8f9-495f-bc11-344756c00ea4 · inbound

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

Accessible Complexity Bounds for Restarted PDHG on Linear Programs with a Unique Optimizer PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:33:25.974817Z

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

Finite Horizon Optimization: Framework and Applications cites this paper.

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 97b0ae74-eba1-43c8-b21b-d8d2188dd870 · inbound

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective cites this paper.

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:57.423732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207d76ad-6ed0-491a-9b38-8072cd9cb5f9 · inbound

Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications cites this paper.

Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T16:24:28.182375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.