Pith. sign in

Paper Citation Record · LEDGER

Deep Learning as the Disciplined Construction of Tame Objects

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2509.18025.

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

pith.paper-citation-record.v1
2509.18025 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:06:37.534056Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T22:29:00.217301Z

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 d71e630c-2d18-4277-b1ea-2b7bdd07702b · inbound

On convergence rates of subgradient descent on semialgebraic functions cites this paper.

On convergence rates of subgradient descent on semialgebraic functions Deep Learning as the Disciplined Construction of Tame Objects

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-02T03:04:34.513299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T06:38:02.975663Z digest=sha256:eb37e5c015e5a0e9ef50a81fc7d709ff50eb5d650ab4afe4c98f0f10da65b96c

Observation d94fddb3-02f9-4637-a48f-a98986903c6b · inbound

Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks cites this paper.

Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks Deep Learning as the Disciplined Construction of Tame Objects

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T22:29:00.219055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-03T22:22:11.447567Z digest=sha256:b349a4080cde5195646282dfd93453c51f2b8d29739aaef9e3732eacb3d8ea61

Observation 4eddeb4a-dddc-4fd5-8cba-1f591181dc13 · inbound

Lipschitzian SLLNs for random functions cites this paper.

Lipschitzian SLLNs for random functions Deep Learning as the Disciplined Construction of Tame Objects

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T10:06:37.534056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:06:37.534056Z digest=sha256:75e7e8a0a7bbd84412d8aac0c62d430c7787f72081a6993e85478e1913bfd23e