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Paper Citation Record · LEDGER

Greedy Learning to Optimize with Convergence Guarantees

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00260.

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

pith.paper-citation-record.v1
2406.00260 v10

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T14:26:58.288381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:27:24.075451Z

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 c3532fb6-2173-4617-b12a-2d9fbf8082c9 · inbound

Learning to accelerate distributed ADMM using graph neural networks cites this paper.

Learning to accelerate distributed ADMM using graph neural networks Greedy Learning to Optimize with Convergence Guarantees

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-08T01:18:17.138077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T18:46:36.084583Z digest=sha256:1f315d6c32dd6db5cbd8c32ab143b6ca3e711bf8b924590900c31130362df8b8

Observation f5a5ff67-277a-4e8e-a5a6-1647b47dd898 · inbound

Robust Model-Based Iteration for Passive Gamma Emission Tomography cites this paper.

Robust Model-Based Iteration for Passive Gamma Emission Tomography Greedy Learning to Optimize with Convergence Guarantees

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-08T01:18:17.138077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T12:40:13.947200Z digest=sha256:dfa97d028ceb394fe19715045ba0e7658888f092bb44330d1525397090a69087

Observation ecc1e445-7dd8-4720-a421-0ebec5efb3c0 · inbound

DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems cites this paper.

DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems Greedy Learning to Optimize with Convergence Guarantees

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-08T01:18:17.138077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T14:26:58.288381Z digest=sha256:1e137627349135d05ea8a90067cc4e121d097da636472b54cac67eaa6c8baabc