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Paper Citation Record · LEDGER

Neural networks trained with SGD learn distributions of increasing complexity

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.11567.

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

pith.paper-citation-record.v1
2211.11567 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:33:31.393209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:35:13.209523Z

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 6b1ffc20-79de-4eaa-81b6-181a485103cb · inbound

DNNs, Dataset Statistics, and Correlation Functions cites this paper.

DNNs, Dataset Statistics, and Correlation Functions Neural networks trained with SGD learn distributions of increasing complexity

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:35:13.214000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T20:33:31.393209Z digest=sha256:cfe6e9d077015f0c819def5bed50ae021240fc21afa23e67dbd3c9e5fc13a760

Observation a183623f-885d-44cf-a541-cd7939928449 · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Neural networks trained with SGD learn distributions of increasing complexity

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:31:24.067337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T05:27:11.761971Z digest=sha256:3b00392a6ee941c53c35870665d8d668294ee3d439ac28c6aee5478fd2dbb02a