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Paper Citation Record · LEDGER

Global Optimality in Tensor Factorization, Deep Learning, and Beyond

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:38:48.627669Z

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-14T23:00:20.720030Z digest=sha256:8e73c8eed676671d0e8246b19ac19fda57e7fcaac366ebc607b346ee006fed56

Observation 965f6894-0e88-4604-b4ce-6233e2b5ea4d · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management Global Optimality in Tensor Factorization, Deep Learning, and Beyond

Reference 188

Resolution
unresolved
no resolver link, observed 2026-08-11T00:38:48.627669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:38:48.627669Z digest=sha256:1f371c356daf14228008698e047b2620e061a0d43c5bb719e0002a34071c2786

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-23T03:33:15.015365Z digest=sha256:4d4cf47e61cada7f49b6d43f9347bfc5c06d004f9fb1119c10c01898bf490ac7

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T03:42:45.128171Z digest=sha256:c1aa76303ad75b492ff82f20a7641f3361fede2bf5fcad67d2e30bf4f5704f9c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T16:59:34.084575Z digest=sha256:fbcedbe7b5d36c0217e033e5c457f45db1fcb807d82918ad1226876dcba84a1a