Paper Citation Record · LEDGER

Learning Expressive Random Feature Models via Parametrized Activations

As of 24 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2411.19468.

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

pith.paper-citation-record.v1
2411.19468 v4

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:20:09.078632Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:59.213577Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:41:59.642580Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63f93b3e-827b-4abd-bbeb-2f2af513e715 · outbound

This paper cites [Yes] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm.

Learning Expressive Random Feature Models via Parametrized Activations [Yes] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:09.031863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b7873d8-1c24-4837-b5ea-da5287d28388 · outbound

This paper cites [Yes] (b) Complete proofs of all theoretical results.

Learning Expressive Random Feature Models via Parametrized Activations [Yes] (b) Complete proofs of all theoretical results

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:09.036097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435ead41-c1c1-4442-96e4-52f94329144f · outbound

This paper cites [Yes] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen).

Learning Expressive Random Feature Models via Parametrized Activations [Yes] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:20:09.365451Z

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.

Observation e9724f98-62b0-438e-898b-f5c3f484c455 · outbound

This paper cites [Not Applicable] (b) The license information of the assets, if appli- cable.

Learning Expressive Random Feature Models via Parametrized Activations [Not Applicable] (b) The license information of the assets, if appli- cable

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:20:09.354283Z

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.

Observation 2148a9c7-c43d-42e8-b0b0-1cbd03434f8b · outbound

This paper cites [Not Applicable] (b) Descriptions of potential participant risks, withlinkstoInstitutionalReviewBoard(IRB) approvals if applicable.

Learning Expressive Random Feature Models via Parametrized Activations [Not Applicable] (b) Descriptions of potential participant risks, withlinkstoInstitutionalReviewBoard(IRB) approvals if applicable

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:20:09.342521Z

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.

Observation 87f87d60-bf62-4be4-ba5a-5acc2e75e07c · outbound

This paper cites an unresolved cited work.

Learning Expressive Random Feature Models via Parametrized Activations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:20:09.329473Z

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.

Observation 70b4b2aa-7f32-4e1d-b1da-822f6f9b57a3 · outbound

This paper cites Lemma A.5SupposeYis a random variable.

Learning Expressive Random Feature Models via Parametrized Activations Lemma A.5SupposeYis a random variable

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:20:09.318313Z

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.

Observation c625c54a-8347-4ff1-9e2f-8d128ca50ab7 · outbound

This paper cites an unresolved cited work.

Learning Expressive Random Feature Models via Parametrized Activations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:20:09.306412Z

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.

Observation 7feac8db-3892-48e1-932d-e10213f39b1b · outbound

This paper cites Lemma A.6SupposeYis a random variable andEY= 0.

Learning Expressive Random Feature Models via Parametrized Activations Lemma A.6SupposeYis a random variable andEY= 0

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:20:09.295619Z

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.

Observation 6630a87c-a353-4314-9a29-5bbf5daaf235 · outbound

This paper cites an unresolved cited work.

Learning Expressive Random Feature Models via Parametrized Activations Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:20:09.284769Z

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.

Observation 6b510557-a44c-4dc9-8694-494afcae31ea · outbound

This paper cites an unresolved cited work.

Learning Expressive Random Feature Models via Parametrized Activations Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:20:09.273143Z

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.

Observation 988e9823-7686-4810-99b2-af23b510919d · outbound

This paper cites an unresolved cited work.

Learning Expressive Random Feature Models via Parametrized Activations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:20:09.261682Z

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.

Observation b9f09e8c-4b2e-44fe-b908-53bdcdc5c390 · outbound

This paper cites σ(w⊤x)− NX i=1 aiBi(w⊤x) ! v(w) # ∞ ≤E w∼N(0,1).

Learning Expressive Random Feature Models via Parametrized Activations σ(w⊤x)− NX i=1 aiBi(w⊤x) ! v(w) # ∞ ≤E w∼N(0,1)

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T10:20:09.248923Z

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.

Pith citing papers

Observation b8cf9eaf-4b57-4f89-b454-4814bee2237c · inbound

SchoenbAt: Rethinking Attention with Polynomial basis cites this paper.

SchoenbAt: Rethinking Attention with Polynomial basis Learning Expressive Random Feature Models via Parametrized Activations

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:41:59.655815Z

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.