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Paper Citation Record · LEDGER

Tensor Programs II: Neural Tangent Kernel for Any Architecture

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2006.14548.

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

pith.paper-citation-record.v1
2006.14548 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:49.854940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:56:56.029850Z

Reference resolution

0 of 0 outbound references displayed

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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 1f616a2f-f9be-4922-a55d-b11c559fffc8 · inbound

Precise gradient descent training dynamics for finite-width multi-layer neural networks cites this paper.

Precise gradient descent training dynamics for finite-width multi-layer neural networks Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 18

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no resolver link, observed 2026-08-15T23:28:49.854940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:28:49.854940Z digest=sha256:e53675f89a0d94b7fda49c5581f9e16e857c24b01ea03e3fd2a97a0af48353ae

Observation 79ce9ab1-f134-45c5-895d-cf1602939a6a · inbound

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs cites this paper.

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 41

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unresolved
no resolver link, observed 2026-08-07T13:59:49.690135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:49.690135Z digest=sha256:fc909d5eeb17a38e9b6138cd75e806dd4679d0311a4ff10c94c1b66192b076a6

Observation aa2d71d0-a3d4-454a-ae55-a8fc7e1f86b5 · inbound

Schoenberg characterization of continuous non-stationary isotropic positive definite kernels cites this paper.

Schoenberg characterization of continuous non-stationary isotropic positive definite kernels Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 26

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no resolver link, observed 2026-08-06T22:25:00.068729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:25:00.068729Z digest=sha256:afbca716fbd73c0a2e3c655095bd631cf01fc4649216d88f3eade641d45bbb37

Observation 48a1a995-763b-4353-9261-ddfcc0d0b553 · inbound

Decoupled Relative Learning Rate Schedules cites this paper.

Decoupled Relative Learning Rate Schedules Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 20

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unresolved
no resolver link, observed 2026-08-06T20:14:11.876256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:14:11.876256Z digest=sha256:32ebe383e2c9ab16563b5cc3ec34fbf7cefe14b6743f36d24c5d8fe993fdf66b

Observation 9aa29abd-b32e-4dec-a0b2-38ec8449207f · 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 Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 43

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unresolved
no resolver link, observed 2026-08-06T19:40:36.585654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:36.585654Z digest=sha256:945352bd744c9678d062695777bab7ee19ee3c2c738713db1347852a0bd8b6f9

Observation 3a1bb844-ef32-4ec5-8c56-657b20cee0aa · inbound

Reactivation: Empirical NTK Dynamics Under Task Shifts cites this paper.

Reactivation: Empirical NTK Dynamics Under Task Shifts Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:17.496873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:17.496873Z digest=sha256:4bf1e6644face058cec3ebd1e0aec3798fe1b5c5f60396dfcb746c03e8ca3a78

Observation e12c2fbe-fe6a-4923-8867-0c9faeb24a84 · 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 II: Neural Tangent Kernel for Any Architecture

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:14:28.076125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T00:12:10.492652Z digest=sha256:3625cafc3e35a2a70f934661347525c2ccc75fee7d10e99779d0968e2deea264

Observation 4c4737ca-da60-4f25-a9dd-55e617f50db6 · inbound

Spectral Edge Dynamics: An Analytical-Empirical Study of Phase Transitions in Neural Network Training cites this paper.

Spectral Edge Dynamics: An Analytical-Empirical Study of Phase Transitions in Neural Network Training Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 22

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verified exact
arxiv_id, observed 2026-05-14T21:22:58.897453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T21:22:01.771980Z digest=sha256:1de84cf3130b5d3c9cadfa6a00d56ff3a522939d09a5aa86089a562ba84b4de2

Observation 2c6b84bc-8526-4d29-82bd-f8a96877fec3 · inbound

Learning Rate Transfer in Normalized Transformers cites this paper.

Learning Rate Transfer in Normalized Transformers Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 19

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verified exact
arxiv_id, observed 2026-05-12T09:51:28.114513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T09:01:45.365126Z digest=sha256:202f539839acd4755946dbbabc53f6f78e391194559235210e2b04c62e329f7d

Observation 88316350-6ae4-456d-9e92-c56d0cbaa152 · 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 II: Neural Tangent Kernel for Any Architecture

Reference 42

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verified exact
arxiv_id, observed 2026-05-11T17:06:06.048024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T17:52:21.272304Z digest=sha256:16310a435d188a3fb95fed1fa04a54ad2636f781935aef2b5237a05cab2048b7

Observation c5404922-a947-420a-94a5-8c89e355626f · inbound

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning cites this paper.

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 124

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metadata mismatch
arxiv_id, observed 2026-05-12T03:01:18.465809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T02:57:57.097441Z digest=sha256:d08b45c138230eae7db6cce62cedbe2d5e14f402f1e37b5326c82df63418c181

Observation b6fa97bd-f44c-42c7-bd80-fd3bc77baaea · inbound

Center-Manifold Reduction of Learning at Bifurcations: Interference and Rich Learning in Recurrent Neural Networks cites this paper.

Center-Manifold Reduction of Learning at Bifurcations: Interference and Rich Learning in Recurrent Neural Networks Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 123

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metadata mismatch
arxiv_id, observed 2026-05-14T21:19:28.951454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-14T21:03:49.445965Z digest=sha256:5491110abe26f796d1d0768c87de9f0d54133ed8fc18082f807f042489c9ed15

Observation 8f630060-5d95-4dd3-96cf-f97513af1ac6 · inbound

GQA-{\mu}P: The maximal parameterization update for grouped query attention cites this paper.

GQA-{\mu}P: The maximal parameterization update for grouped query attention Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 18

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verified exact
arxiv_id, observed 2026-05-19T16:37:39.796505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T16:35:40.231293Z digest=sha256:19b5a38f1504d9d3acb8b27506a71a7f604ab3f021963bbcb4174f2d15af647a

Observation a6df8b4c-5d65-4081-88c1-f2b2722b29e1 · inbound

The Neural Tangent Kernel for Classification cites this paper.

The Neural Tangent Kernel for Classification Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 6

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verified exact
arxiv_id, observed 2026-05-20T14:28:21.321740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T14:25:56.224773Z digest=sha256:b068510262f9c0be318d6df9df2a738e7b635500a2eba1ce357c1e1503e9b5e8

Observation 9baca4f1-0994-4555-b455-bf4a1f6fc6f9 · inbound

The Neural Tangent Kernel for Classification cites this paper.

The Neural Tangent Kernel for Classification Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:55:00.330468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T18:52:25.033981Z digest=sha256:93553dc7ee0805e3f6aa4450fc7707993cad069fe72c953853c7d1a6c5100bca

Observation d526a5e1-c61f-4bb8-bb8d-90a5e88be69d · inbound

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

Canonical Regularisation of Wide Feature-Learning Neural Networks Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:32:54.046997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T00:32:38.050373Z digest=sha256:bcdb57b5d46a3cf83c7bc9eaeab72af5feec32a777a8be4be01024e07250829a

Observation 5cac7d07-b223-4141-bb0e-00573320d20d · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 169

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metadata mismatch
arxiv_id, observed 2026-07-02T11:56:56.031130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T02:35:39.845487Z digest=sha256:d4e0e129d8d90a43e9333839dde23c33226aa5c8c417ed7191dae82a69c7a6c5

Observation 69319f81-4a22-4c4b-bb0e-792f44120ed2 · inbound

Information-Theoretic Limits of Reliability and Scaling in Language Models cites this paper.

Information-Theoretic Limits of Reliability and Scaling in Language Models Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 49

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unresolved
no resolver link, observed 2026-08-02T14:45:39.243274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:45:39.243274Z digest=sha256:d54dc9a953d1d49be37b9f4e2c48d342466220089acf5cc0320aa51ad055981f

Observation 8a1e2870-13a6-4667-993d-3ce10fe622f8 · inbound

Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets cites this paper.

Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets Tensor Programs II: Neural Tangent Kernel for Any Architecture

Reference 62

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unresolved
no resolver link, observed 2026-08-01T20:07:08.799888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:07:08.799888Z digest=sha256:3476af6487647f8bdcc372a998f4aace6ba39410836201a01c12c796b34596ec