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Paper Citation Record · LEDGER

Tensor Programs III: Neural Matrix Laws

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2009.10685.

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

pith.paper-citation-record.v1
2009.10685 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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:07.276081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:42:37.096808Z

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 aad87d3f-5a2b-44b5-b54b-1d1d1ee8b2a7 · inbound

Random weights of DNNs and emergence of fixed points cites this paper.

Random weights of DNNs and emergence of fixed points Tensor Programs III: Neural Matrix Laws

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:44:07.276081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:44:07.276081Z digest=sha256:ce8807bdd3a3fc89418183c60e9d167e25634c4649c23afeb10f8c75a30f4ff2

Observation 0ea6c490-5048-4e48-a373-6b4614d973cd · inbound

SETOL: A Semi-Empirical Theory of (Deep) Learning cites this paper.

SETOL: A Semi-Empirical Theory of (Deep) Learning Tensor Programs III: Neural Matrix Laws

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:20.065440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.065440Z digest=sha256:9d05d3880b785e5c68bb85938bf31dfb3443f292cd81b9a153286e0e683f527e

Observation 235519f6-9b9d-492f-8b21-edfb05217aad · inbound

Spectral Condition for $\mu$P under Width-Depth Scaling cites this paper.

Spectral Condition for $\mu$P under Width-Depth Scaling Tensor Programs III: Neural Matrix Laws

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:06:25.478072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T18:03:31.202134Z digest=sha256:ca75b1948f7a06afa0c42890429072eebaacb50b6bca88e56f16437a4e5387c4

Observation 3828ea5d-ef9c-4e55-a98a-fe67019bdda1 · inbound

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences cites this paper.

How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences Tensor Programs III: Neural Matrix Laws

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:06:06.056492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T17:52:21.272304Z digest=sha256:87e6928ad969945a85c851e7207ffe716963c337e89f7d841d1766ce201caa71

Observation 965f4fda-d186-448b-a26a-f0144e9663bb · inbound

Canonical Regularisation of Wide Feature-Learning Neural Networks cites this paper.

Canonical Regularisation of Wide Feature-Learning Neural Networks Tensor Programs III: Neural Matrix Laws

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:32:54.019285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T00:32:38.050373Z digest=sha256:e6a8a72214975b7737abe76c953359f63ac6602ada045df6e8ec90af4fc8abb3

Observation 5362448f-d2ae-4030-bc24-6e60b92307d0 · inbound

Bayesian Inference with Shaped Deep Non-linear MLPs cites this paper.

Bayesian Inference with Shaped Deep Non-linear MLPs Tensor Programs III: Neural Matrix Laws

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T20:42:37.098255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T20:41:59.878583Z digest=sha256:a46ed1fd3289f700fe0eb378e0955b55147931025d656d192014795ff0b105af