Paper Citation Record · LEDGER

A Provably Correct Algorithm for Deep Learning that Actually Works

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1803.09522.

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

pith.paper-citation-record.v1
1803.09522 v2

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:59:21.199311Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T19:23:53.975993Z

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 80d36fb9-f913-429d-b986-a7f2c236632b · inbound

Deep networks learn to parse uniform-depth context-free languages from local statistics cites this paper.

Deep networks learn to parse uniform-depth context-free languages from local statistics A Provably Correct Algorithm for Deep Learning that Actually Works

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T05:59:21.199311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a67871-7e06-4333-ba6f-8b6941d64349 · inbound

Sampling Data with Chains of Forward-Backward Diffusion Steps cites this paper.

Sampling Data with Chains of Forward-Backward Diffusion Steps A Provably Correct Algorithm for Deep Learning that Actually Works

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-29T19:23:53.977374Z

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.

Observation d8fa9120-09c2-4107-892a-828a091f06f0 · inbound

Learn from your own latents and not from tokens: A sample-complexity theory cites this paper.

Learn from your own latents and not from tokens: A sample-complexity theory A Provably Correct Algorithm for Deep Learning that Actually Works

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:23:50.486409Z

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.

Observation 1349e79d-1d72-4859-abf0-e08325d41b8f · inbound

An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars cites this paper.

An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars A Provably Correct Algorithm for Deep Learning that Actually Works

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T11:11:52.259969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.