Paper Citation Record · LEDGER

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.10677.

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

pith.paper-citation-record.v1
2607.10677 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:03:27.747512Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact4
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 706a60b8-3c54-4b1e-aeea-1909dcc52eb5 · outbound

This paper cites Gomez and Lukasz Kaiser and Illia Polosukhin , editor =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Gomez and Lukasz Kaiser and Illia Polosukhin , editor =

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ecbc65a-6d3a-447d-af67-96c525c9f29b · outbound

This paper cites Rethinking Attention with Performers , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Rethinking Attention with Performers , booktitle =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76afb913-9ed5-4f7f-b663-65bd52c17f72 · outbound

This paper cites 2023 , url =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers 2023 , url =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

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Observation 91af7fca-44f6-4d9c-ac3b-fbef6509769c · outbound

This paper cites Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea81e0e8-ca4e-4d07-8fc2-b16c30fcd782 · outbound

This paper cites On Learning the Transformer Kernel.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers On Learning the Transformer Kernel

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076f785c-01ee-48a3-a9e2-e85a6466c8c3 · outbound

This paper cites Susskind , editor =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Susskind , editor =

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38acafae-9d19-4277-9f38-f805f5deda25 · outbound

This paper cites On the Role of Attention Masks and LayerNorm in Transformers , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers On the Role of Attention Masks and LayerNorm in Transformers , booktitle =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58856ba4-9481-48af-ad18-84796bdab5b7 · outbound

This paper cites Hopfield Networks is All You Need , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Hopfield Networks is All You Need , booktitle =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4238cae-6b42-469f-a231-b9b732f889f1 · outbound

This paper cites Kim , editor =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Kim , editor =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e73f11d-6052-45a6-b564-89fc12c72b9f · outbound

This paper cites Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together , booktitle =

Reference 10

Resolution: verified exact; doi, observed 2026-07-14T10:10:24.493143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c16a2bd-c335-4d65-8e9a-b4a029204b30 · outbound

This paper cites Communications on pure and applied mathematics , volume =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Communications on pure and applied mathematics , volume =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00cfc7a-cf08-45f6-9b0d-7965193eca8c · outbound

This paper cites Bandeira and Amit Singer and Daniel A.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Bandeira and Amit Singer and Daniel A

Reference 12

Resolution: verified exact; doi, observed 2026-07-14T10:10:24.515323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4488b80a-87d4-4810-9707-f602f2999bcd · outbound

This paper cites Gauge Equivariant Convolutional Networks and the Icosahedral.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Gauge Equivariant Convolutional Networks and the Icosahedral

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10483729-f7e7-4942-b692-ee6de1c373c8 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1414fed9-4a88-4331-9ac1-0da646339bf9 · outbound

This paper cites Hamilton and Vincent L.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Hamilton and Vincent L

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b66704-1dc8-42ab-a951-08dfa4d61d62 · outbound

This paper cites A Framework for Non-Linear Attention via Modern Hopfield Networks.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers A Framework for Non-Linear Attention via Modern Hopfield Networks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-14T10:10:24.509576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d398586e-923f-4e44-8abc-9d690e7a0594 · outbound

This paper cites Slabaugh and Stefanos Zafeiriou , title =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Slabaugh and Stefanos Zafeiriou , title =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46cb9998-1f2a-4bee-9e8d-411f1bdf4f7c · outbound

This paper cites A Tensorized Transformer for Language Modeling , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers A Tensorized Transformer for Language Modeling , booktitle =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab154e8-8ef5-4076-aa55-9fa9c2fca2f7 · outbound

This paper cites Tensor Product Attention Is All You Need , journal =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Tensor Product Attention Is All You Need , journal =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4368ff3f-46d2-4554-b36c-331c141bbd05 · outbound

This paper cites Towards understanding how attention mechanism works in deep learning.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Towards understanding how attention mechanism works in deep learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05fe599-061c-4a2e-8ddd-b4b459d55e57 · outbound

This paper cites On Layer Normalization in the Transformer Architecture , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers On Layer Normalization in the Transformer Architecture , booktitle =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c79859-8826-4a35-b97c-f43ecbd4ebbf · outbound

This paper cites Nguyen and Julian Salazar , editor =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Nguyen and Julian Salazar , editor =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bd28a7-8a01-4075-9c14-f533239f96a4 · outbound

This paper cites Annals of Combinatorics , volume =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Annals of Combinatorics , volume =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ed1620-a306-4271-86d1-5cf4af05f912 · outbound

This paper cites Nonlinear Phenomena in Complex Systems , volume =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Nonlinear Phenomena in Complex Systems , volume =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800d847e-d96c-4ddd-9b09-72bb6bd86209 · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25636b4f-2b54-4010-9b46-e3c53c34b8c9 · outbound

This paper cites an unresolved cited work.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Unresolved cited work

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-14T10:10:24.511806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e5fa279-d767-4c06-b97c-1f8e76479bea · outbound

This paper cites an unresolved cited work.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8df2033-881c-4c5b-ac16-de42431dc972 · outbound

This paper cites OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

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Observation 0e04dbdc-e22e-4456-9284-ce6aad3a70dc · outbound

This paper cites Neural Sheaf Diffusion:.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Neural Sheaf Diffusion:

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

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Unavailable: canonical work link unavailable.

Observation dbd51367-9fc0-4e10-8d82-868f4c93bd83 · outbound

This paper cites Sheaf Neural Networks with Connection Laplacians , booktitle =.

From Self-Attention to Connection Laplacian: A Unified Operator View of Transformers Sheaf Neural Networks with Connection Laplacians , booktitle =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T10:03:27.747512Z

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Pith citing papers

No inbound Pith citation observations are available.