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Paper Citation Record · LEDGER

Learning Models over Relational Data using Sparse Tensors and Functional Dependencies

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.04780.

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

pith.paper-citation-record.v1
1703.04780 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:42.589634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.526405Z

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 fb4c23a6-5860-4e39-8c1d-2abe439875d9 · inbound

Graph Neural Networks on Graph Databases cites this paper.

Graph Neural Networks on Graph Databases Learning Models over Relational Data using Sparse Tensors and Functional Dependencies

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T18:38:42.589634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:38:42.589634Z digest=sha256:537be259696e5504a32561bf36610c491623d3da2a2408c8b708c2b1cb2017f8

Observation f5442732-4832-4133-b6d9-1acd52877f63 · inbound

Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks cites this paper.

Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks Learning Models over Relational Data using Sparse Tensors and Functional Dependencies

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.527823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T09:40:55.428448Z digest=sha256:343e98628d06ad8f6e8cefb590dc7cefc3c896fe19971b04e3274119838dd774