Paper Citation Record · LEDGER

Global Optimality in Tensor Factorization, Deep Learning, and Beyond

As of 17 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1506.07540.

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

pith.paper-citation-record.v1
1506.07540 v1

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 2026-07-17T06:31:00.352745+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:59:34.084575Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:47:30.975878Z

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 a05f550e-1389-446a-a5e3-d2e71411de56 · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Reference 124

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T23:00:21.109642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation c300a176-5691-4326-88d9-c1b476e8b166 · inbound

Exploring Vision Neural Network Pruning via Screening Methodology cites this paper.

Exploring Vision Neural Network Pruning via Screening Methodology Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:35:21.047369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 98b56950-3d47-4e8a-a88d-7b78dfd6a81a · inbound

Optimizer-Induced Mode Connectivity: From AdamW to Muon cites this paper.

Optimizer-Induced Mode Connectivity: From AdamW to Muon Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Reference 154

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:06:36.833184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 7acaaa5d-c88c-4091-b2cf-20e36b1fbd6e · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Reference 152

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.977292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.