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Paper Citation Record · LEDGER

The Power of Depth for Feedforward Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1512.03965.

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

pith.paper-citation-record.v1
1512.03965 v4

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:52:14.177600Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T08:03:08.904764Z

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 4854e5db-2fda-4b73-8e08-f32e01157fa1 · inbound

Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence cites this paper.

Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence The Power of Depth for Feedforward Neural Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T00:52:14.177600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:52:14.177600Z digest=sha256:f23c0a862b81360925ddbc3082fd9ddc2ceafc11631dead18c4d415b352410d7

Observation 0b71e735-5a2f-4e41-a49c-42dfb1c980a2 · inbound

Towards a Comparative Framework for Compositional AI Models cites this paper.

Towards a Comparative Framework for Compositional AI Models The Power of Depth for Feedforward Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:42.906301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:13:42.906301Z digest=sha256:d6b7423cfb031374253dd40c547423642ab0bd6c2fd81d0f50d79bf669a987d6

Observation 79fb6b85-dfac-42db-8f86-0e7093090453 · inbound

A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits cites this paper.

A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits The Power of Depth for Feedforward Neural Networks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-20T08:03:08.907195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T07:59:49.569151Z digest=sha256:a495058f7de093ce137f005ceacd608c4d6f9cd423549ea0fe9d3e8b272f8d90