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Paper Citation Record · LEDGER

Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1910.12478.

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

pith.paper-citation-record.v1
1910.12478 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:03.048049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:14:28.078539Z

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 a241be08-6e9f-41ca-98de-0e7fd731406c · inbound

Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations cites this paper.

Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:03.048049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:03.048049Z digest=sha256:33dacc146a1250b58623e9a2d6ac554e706ba0cf482f68bd39fa8b52c07f72f8

Observation 4dfb54e9-3d68-49a6-90be-c86fb8172e14 · inbound

On the Stability of the Jacobian Matrix in Deep Neural Networks cites this paper.

On the Stability of the Jacobian Matrix in Deep Neural Networks Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:20.824254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:20.824254Z digest=sha256:ac1a68030486ad73185094710e048a1f649dce93d4d45b043afcd9fdb9b68250

Observation 085e4655-3f7c-4d3f-b6f3-e1764290dc94 · inbound

Viability of perturbative expansion for quantum field theories on neurons cites this paper.

Viability of perturbative expansion for quantum field theories on neurons Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:14:28.081508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T00:12:10.492652Z digest=sha256:77753e46a8d42cef8b1b41dfc4b8d38866d9f8fe8c1a6c585bdee41e68a4aa38

Observation d3fdac36-26c6-47e3-8cff-cd2f6124643b · inbound

Optimal Architecture and Fundamental Bounds in Neural Network Field Theory cites this paper.

Optimal Architecture and Fundamental Bounds in Neural Network Field Theory Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:46:28.006930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T09:10:10.138000Z digest=sha256:c7b9c768ad933b25c694d4b9d5d7c05fa340922db2142a16b76cadc5b2635b34

Observation 7940edce-cdd8-493a-9135-aa34bd6aad82 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:14:03.658427Z digest=sha256:a3c2d07ca07ffb6fc5f3fa4f419a224488d4acea287c90fa48cbc3b690329f00

Observation 8ecffd55-502a-495a-9847-52e615e58672 · inbound

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation cites this paper.

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes

Reference 124

Resolution
unresolved
no resolver link, observed 2026-07-13T03:41:36.654380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T03:41:36.654380Z digest=sha256:07100d7811867b161edda7a40b44a2336d1a67766283ec7a3ce66cc021e6d467