Paper Citation Record · LEDGER

Solving Large Multicommodity Network Flow Problems on GPUs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.17996.

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

pith.paper-citation-record.v1
2501.17996 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:11:03.570940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:48:11.682701Z

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 015b9894-f19d-4b0f-8493-e0f5eb28d6bf · inbound

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation cites this paper.

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation Solving Large Multicommodity Network Flow Problems on GPUs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T06:11:03.570940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 296346d9-dc0e-40d3-987b-13c80295b997 · inbound

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing cites this paper.

Large-Scale Network Utility Maximization via GPU-Accelerated Proximal Message Passing Solving Large Multicommodity Network Flow Problems on GPUs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:39:51.564681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515fc1af-d3a9-4e10-90d8-446dabc4d47d · inbound

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems cites this paper.

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems Solving Large Multicommodity Network Flow Problems on GPUs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:18:01.936280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc47cac9-4a36-4a16-9656-c21298e1c4bd · inbound

Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers cites this paper.

Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers Solving Large Multicommodity Network Flow Problems on GPUs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:08.762958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4844ee0a-c9c0-46be-bc61-5e679d04eafe · inbound

Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers cites this paper.

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T14:51:05.905399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25faff36-2b60-486d-9bc3-2ee9da60624c · inbound

On the convergence of doubly stochastic Primal-Dual Hybrid Gradient Method cites this paper.

On the convergence of doubly stochastic Primal-Dual Hybrid Gradient Method Solving Large Multicommodity Network Flow Problems on GPUs

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:48:11.686170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.