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Paper Citation Record · LEDGER

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1912.02803.

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

pith.paper-citation-record.v1
1912.02803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:37:56.637651Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:40:36.846898Z

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 497bb98b-4b07-4f82-b7d6-9e26e88dc99e · inbound

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens cites this paper.

Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:40:36.850848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-06T19:40:36.534512Z digest=sha256:e0ad44a42380c719dab33dfdc82dee45a6399151da74fb6f2e8ae15441204b65

Observation 40c362ec-2fc0-4f45-a6d7-3a6072e42164 · inbound

Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs cites this paper.

Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T16:37:56.637651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:37:56.637651Z digest=sha256:76f167f9c60ce5b0550b686552c383e1d645ebf201751db43e5dd64438f31022

Observation 317ac1fa-66e5-461c-80eb-5899dda8a0e5 · inbound

Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation cites this paper.

Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-04T14:43:35.015653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:43:35.015653Z digest=sha256:55b6ca2bc5513ab5de3a6d2cb062b80363b138743636a9d312e4f08fcb4ef322

Observation 965db923-75b8-4677-a003-4fef781b3438 · inbound

High-rate qLDPC processors cites this paper.

High-rate qLDPC processors Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-03T00:27:29.443245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:27:29.443245Z digest=sha256:0ad0ae493e401862bc75786030052048baa2e5aecbcb06abc5b669ab7299e180

Observation 748fb284-ad9e-4d41-8707-a1f54352bdf8 · inbound

Symmetry Constraints Regularize Neural Quantum State Learning cites this paper.

Symmetry Constraints Regularize Neural Quantum State Learning Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T04:32:02.810726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:02.810726Z digest=sha256:5e9c5adb81372c190f7392c6cd17a4e90c4e8a68c77587001c97ba7adda6ca0b