Paper Citation Record · LEDGER

Pay Attention to MLPs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.08050.

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

pith.paper-citation-record.v1
2105.08050 v2

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:46:58.451310Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T12:46:14.685344Z

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 be2cbba5-e627-4e31-b5c3-6f25d460c034 · inbound

Short window attention enables long-term memorization cites this paper.

Short window attention enables long-term memorization Pay Attention to MLPs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:11:21.751921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f8f6dd3-56b1-49bd-8a00-6ed490835004 · inbound

Towards multi-modal forgery representation learning for AI-generated video detection and localization cites this paper.

Towards multi-modal forgery representation learning for AI-generated video detection and localization Pay Attention to MLPs

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:00:56.185264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7fc0cd4-bc91-4aa2-8627-ad6197c2aece · inbound

The Inference-Compute Frontier and a Latency-Efficient Architecture for Limit Order Book Prediction cites this paper.

The Inference-Compute Frontier and a Latency-Efficient Architecture for Limit Order Book Prediction Pay Attention to MLPs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:40:07.760324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f4daace-2b55-4085-b6a8-87802539c053 · inbound

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity cites this paper.

Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity Pay Attention to MLPs

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:46:14.686526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff208adb-e045-4f6e-ace2-8af83ebfb9ff · inbound

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation cites this paper.

A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation Pay Attention to MLPs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:46:58.451310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.