Paper Citation Record · LEDGER

Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1908.11775.

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

pith.paper-citation-record.v1
1908.11775 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:42:07.729848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:04:58.253551Z

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 fe16fb81-8087-465e-a478-90cec9ce2100 · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 229

Resolution: verified exact; arxiv_id, observed 2026-05-24T10:24:20.332233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35f8d11e-12db-4bf7-9529-7bdb0a832f2f · inbound

HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition cites this paper.

HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:42:07.729848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c18a48-6338-426b-9fe2-8e0adb748371 · inbound

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:01.988890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e14df7-a721-4b17-9ce2-24ef0c208fbb · inbound

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding cites this paper.

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:54.322589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64bd4d6-04d9-4c51-b46b-6a0e38cd4cfb · inbound

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods cites this paper.

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T00:40:51.730244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63f123ce-f9f6-48b0-8db0-dfe905ca6d02 · inbound

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence cites this paper.

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T16:37:40.941545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2a92e2-c0fc-4590-8ef6-e366885f9f2f · inbound

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation cites this paper.

Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:31:22.067762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 741145cb-fb39-4727-ba87-c1c4898339eb · inbound

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity cites this paper.

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:34:02.994393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58b8e8f0-1d1e-4dde-be88-ab5123359e22 · inbound

The General Theory of Localization Methods cites this paper.

The General Theory of Localization Methods Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:34:00.605064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f35b240-ce78-43d6-b9c8-bad93a6cb874 · inbound

The General Theory of Localization Methods cites this paper.

The General Theory of Localization Methods Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:04:58.255023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.