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Paper Citation Record · LEDGER

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.02930.

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

pith.paper-citation-record.v1
1703.02930 v3

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:10:39.349904Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:10:39.626038Z

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 35f98708-2cc7-4f4c-9acc-3359eb81710b · inbound

A Probabilistic Representation of Deep Learning cites this paper.

A Probabilistic Representation of Deep Learning Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T11:10:39.632488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T11:10:39.349904Z digest=sha256:69b8ad56bd94913271162ca1f5a9dc80ab410a6d14ee5fda6f3723524ec43bc6

Observation d8b5c289-7fc6-41b6-a50b-41af9c2e23bf · inbound

CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining cites this paper.

CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T20:27:28.744407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:27:28.744407Z digest=sha256:7b74cf5d2824d7a862e0e62fed8bf3167d84639c349640acfc42518e0f4197b4