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Paper Citation Record · LEDGER

Structured Sheaf Learning of Consistent Connection Graphs

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2608.08710.

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

pith.paper-citation-record.v1
2608.08710 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:35:33.984760Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved14
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cac7e095-1adb-4f69-92df-dfb09c41848b · outbound

This paper cites Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,.

Structured Sheaf Learning of Consistent Connection Graphs Goal-oriented and semantic communication in 6G AI-native networks: The 6G-GOALS approach,

Reference 1

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Observation d1e96a43-3588-4d43-a992-8dc678066091 · outbound

This paper cites Discrete signal processing on graphs,.

Structured Sheaf Learning of Consistent Connection Graphs Discrete signal processing on graphs,

Reference 2

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Observation 37add1c9-4720-45ed-bf4b-18db1623d175 · outbound

This paper cites Kernels and regularization on graphs,.

Structured Sheaf Learning of Consistent Connection Graphs Kernels and regularization on graphs,

Reference 3

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Observation 593e819d-2527-486c-984b-4800d896cabd · outbound

This paper cites Graph signal processing: History, development, impact, and outlook,.

Structured Sheaf Learning of Consistent Connection Graphs Graph signal processing: History, development, impact, and outlook,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8624f09-a25f-4e18-8e70-4ae439568f3e · outbound

This paper cites A comprehensive survey on graph neural networks,.

Structured Sheaf Learning of Consistent Connection Graphs A comprehensive survey on graph neural networks,

Reference 5

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Observation 719e88ea-f1f7-4e73-905c-74e7a284011e · outbound

This paper cites Network topology inference from spectral templates,.

Structured Sheaf Learning of Consistent Connection Graphs Network topology inference from spectral templates,

Reference 6

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Observation 63dd5f92-79f9-4621-b2f8-34db58c131d7 · outbound

This paper cites Graph Topology Inference Based on Sparsifying Transform Learning,.

Structured Sheaf Learning of Consistent Connection Graphs Graph Topology Inference Based on Sparsifying Transform Learning,

Reference 7

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Observation 99e3cb1d-1444-41b4-8196-6381f968d643 · outbound

This paper cites Connecting the dots: Identifying network structure via graph signal processing,.

Structured Sheaf Learning of Consistent Connection Graphs Connecting the dots: Identifying network structure via graph signal processing,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24be2565-72f2-476d-bb87-ec2725afb7ce · outbound

This paper cites Differentiable Graph Module (DGM) for Graph Convolutional Networks,.

Structured Sheaf Learning of Consistent Connection Graphs Differentiable Graph Module (DGM) for Graph Convolutional Networks,

Reference 9

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Observation 3163daef-d60f-4c03-843f-e32c97464d00 · outbound

This paper cites A Survey on Over- smoothing in Graph Neural Networks,.

Structured Sheaf Learning of Consistent Connection Graphs A Survey on Over- smoothing in Graph Neural Networks,

Reference 10

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Observation a381056b-af8e-41b8-bc43-8edb098580eb · outbound

This paper cites Not too little, not too much: a theoretical analysis of graph (over) smoothing,.

Structured Sheaf Learning of Consistent Connection Graphs Not too little, not too much: a theoretical analysis of graph (over) smoothing,

Reference 11

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Observation fffc4602-163b-48e1-b91b-fe704e9003d1 · outbound

This paper cites Topological Signal Processing over Simplicial Complexes,.

Structured Sheaf Learning of Consistent Connection Graphs Topological Signal Processing over Simplicial Complexes,

Reference 12

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Observation 09149531-b1be-43fc-b382-6a7b95ea5c48 · outbound

This paper cites Topological signal processing and learning: Recent advances and future challenges,.

Structured Sheaf Learning of Consistent Connection Graphs Topological signal processing and learning: Recent advances and future challenges,

Reference 13

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Source-reported events for the cited work

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Observation b35f867c-dab5-4cfd-9ff1-852c51f7cb91 · outbound

This paper cites Position: Topological Deep Learning is the New Frontier for Relational Learning,.

Structured Sheaf Learning of Consistent Connection Graphs Position: Topological Deep Learning is the New Frontier for Relational Learning,

Reference 14

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Observation 509c887a-7a98-4325-90c4-32a495917e9b · outbound

This paper cites an unresolved cited work.

Structured Sheaf Learning of Consistent Connection Graphs Unresolved cited work

Reference 15

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Observation 6c94020f-0f4e-40ee-8aee-d5af6ab37b55 · outbound

This paper cites Sheaf theory: from deep geometry to deep learning.

Structured Sheaf Learning of Consistent Connection Graphs Sheaf theory: from deep geometry to deep learning

Reference 16

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Observation fe61ff1b-c0ab-437f-90d0-fe607b69afb4 · outbound

This paper cites Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs,.

Structured Sheaf Learning of Consistent Connection Graphs Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs,

Reference 17

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Observation 1dc3ffcc-6a1d-4523-85c1-bb6432fb68e1 · outbound

This paper cites Laplacians of Cellular Sheaves: Theory and Applications,.

Structured Sheaf Learning of Consistent Connection Graphs Laplacians of Cellular Sheaves: Theory and Applications,

Reference 18

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Observation a7e4b11a-d9b0-4764-b514-847d7f9dd994 · outbound

This paper cites Toward a spectral theory of cellular sheaves,.

Structured Sheaf Learning of Consistent Connection Graphs Toward a spectral theory of cellular sheaves,

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1fadd8ff-91de-4dae-8dc6-1792053f56c8 · outbound

This paper cites Learning Sheaf Laplacians from Smooth Signals,.

Structured Sheaf Learning of Consistent Connection Graphs Learning Sheaf Laplacians from Smooth Signals,

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b4916045-80b0-49f2-9e30-6b5cc61b4f70 · outbound

This paper cites Learning Sheaf Laplacian Optimizing Restriction Maps,.

Structured Sheaf Learning of Consistent Connection Graphs Learning Sheaf Laplacian Optimizing Restriction Maps,

Reference 21

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Observation ce61afa2-c039-41a6-ab6f-7728676170d1 · outbound

This paper cites Vector diffusion maps and the connection Laplacian,.

Structured Sheaf Learning of Consistent Connection Graphs Vector diffusion maps and the connection Laplacian,

Reference 22

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Observation e9080fe6-43d4-45c7-865e-d20d66f47f11 · outbound

This paper cites A Cheeger inequality for the graph connection Laplacian,.

Structured Sheaf Learning of Consistent Connection Graphs A Cheeger inequality for the graph connection Laplacian,

Reference 23

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Observation 5879b08f-7ceb-45fe-b2cf-82fa022bf951 · outbound

This paper cites The vector heat method,.

Structured Sheaf Learning of Consistent Connection Graphs The vector heat method,

Reference 24

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Observation d1d50b68-c7bd-4f49-8544-f70b23ffb4be · outbound

This paper cites Tangent bundle convolutional learning: from manifolds to cellular sheaves and back,.

Structured Sheaf Learning of Consistent Connection Graphs Tangent bundle convolutional learning: from manifolds to cellular sheaves and back,

Reference 25

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Observation 19ce81f0-c3bf-4c28-845c-4fe6bf927940 · outbound

This paper cites Sheaf neural networks with connection laplacians,.

Structured Sheaf Learning of Consistent Connection Graphs Sheaf neural networks with connection laplacians,

Reference 26

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Observation dc8fdcd2-0464-458e-80bf-713b533a38ef · outbound

This paper cites Convolutional neural networks on manifolds: From graphs and back,.

Structured Sheaf Learning of Consistent Connection Graphs Convolutional neural networks on manifolds: From graphs and back,

Reference 27

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ddbc7630-8dd2-4372-b8cd-ef83e4619184 · outbound

This paper cites Sheaf neural networks,.

Structured Sheaf Learning of Consistent Connection Graphs Sheaf neural networks,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation deebd2dd-3baa-4d34-ad33-184fa6149d43 · outbound

This paper cites Sheaf attention networks,.

Structured Sheaf Learning of Consistent Connection Graphs Sheaf attention networks,

Reference 29

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 27cf37e8-686a-415c-8076-629b070c34ec · outbound

This paper cites Ranking and sparsifying a connection graph,.

Structured Sheaf Learning of Consistent Connection Graphs Ranking and sparsifying a connection graph,

Reference 30

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cb3e8836-86d1-478f-b5ca-52a1037a7e36 · outbound

This paper cites Bundle Neural Networks for message diffusion on graphs,.

Structured Sheaf Learning of Consistent Connection Graphs Bundle Neural Networks for message diffusion on graphs,

Reference 31

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cd409609-0928-423d-acbe-6e77eff34807 · outbound

This paper cites A unified framework for structured graph learning via spectral constraints,.

Structured Sheaf Learning of Consistent Connection Graphs A unified framework for structured graph learning via spectral constraints,

Reference 32

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0c1f2547-0794-4963-9f52-56fc5d77a555 · outbound

This paper cites Learning Lapla- cian matrix in smooth graph signal representations,.

Structured Sheaf Learning of Consistent Connection Graphs Learning Lapla- cian matrix in smooth graph signal representations,

Reference 33

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9738c309-ac79-4f4e-8c6d-9c3618264837 · outbound

This paper cites an unresolved cited work.

Structured Sheaf Learning of Consistent Connection Graphs Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43b7854e-6e60-4847-ac58-64059e605efa · outbound

This paper cites Learning the Structure of Connection Graphs,.

Structured Sheaf Learning of Consistent Connection Graphs Learning the Structure of Connection Graphs,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8696e544-e7df-4720-bc04-6401d28485e1 · outbound

This paper cites Distributed optimization with sheaf ho- mological constraints,.

Structured Sheaf Learning of Consistent Connection Graphs Distributed optimization with sheaf ho- mological constraints,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be2daf8a-df0a-4ab4-9c21-69531654387d · outbound

This paper cites Opinion dynamics on discourse sheaves,.

Structured Sheaf Learning of Consistent Connection Graphs Opinion dynamics on discourse sheaves,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:36.423148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.197036Z digest=sha256:8ab1bca3ae445ae0e1482d006c50202a02f5ded1c1d2948f08861367fb8ebe11

Observation 0de18ac0-9180-469c-9d3f-dd030d4cfd0a · outbound

This paper cites Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf- Theoretic Approach,.

Structured Sheaf Learning of Consistent Connection Graphs Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf- Theoretic Approach,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:36.349741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.219751Z digest=sha256:891803a696adcc2696784b6cbf8ccdbb41ca2bacd78160b665f4a3165d7e7c9c

Observation b72bbd01-5d49-419c-9daa-6ffe508c775e · outbound

This paper cites SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment,.

Structured Sheaf Learning of Consistent Connection Graphs SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:36.230778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.248815Z digest=sha256:09e01a3ed5b22ce9f19cbbb7a4e6387d60527beda1659cd3f890509c724a5367

Observation 933ea239-7736-407b-b2f0-b0be351d5025 · outbound

This paper cites A Sheaf-Theoretic Framework for Distributed Multi- Site Channel Charting,.

Structured Sheaf Learning of Consistent Connection Graphs A Sheaf-Theoretic Framework for Distributed Multi- Site Channel Charting,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:36.129216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.258572Z digest=sha256:37ec308cdb2674484746fb437173fa21c62c95f8a54167a5f51b73e25aac2887

Observation 10aaea81-c6c1-4b25-9589-d2b23e4105ae · outbound

This paper cites an unresolved cited work.

Structured Sheaf Learning of Consistent Connection Graphs Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:35:36.054887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.302395Z digest=sha256:79671084ff96f55fc715a5c9c6dc82c9417519a97ba6618ec8d99a5049c6916f

Observation e3fb6a2b-f314-4983-a502-1f5a697497aa · outbound

This paper cites an unresolved cited work.

Structured Sheaf Learning of Consistent Connection Graphs Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:35:35.959638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.343983Z digest=sha256:fd33e9ff9607db5bcc34dc8ffddf77485c8937d276841c475459d44bfae783d0

Observation 9dee5bd0-3ce6-48d4-b4ba-715f7b8ef8ba · outbound

This paper cites How to learn a graph from smooth signals,.

Structured Sheaf Learning of Consistent Connection Graphs How to learn a graph from smooth signals,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:35.858349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.386603Z digest=sha256:e649afd72fb4bcf32102d2342f65cfb69cb0f86a3b3636dae454fcdc982301cb

Observation 479e96aa-8fca-47ab-bf73-936e2004c48b · outbound

This paper cites A splitting method for orthogonality constrained problems,.

Structured Sheaf Learning of Consistent Connection Graphs A splitting method for orthogonality constrained problems,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:35.758574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.415479Z digest=sha256:12a02786f6ebcae63dd908c7b9312d9fca00b4c577463b5a3a10b6ee81e3033d

Observation 3ad166b0-90a5-40c6-9760-19d19c782a59 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Structured Sheaf Learning of Consistent Connection Graphs Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.464748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.464748Z digest=sha256:9866c6b3be1dae8db72a93e8dfb19a7cc2afa8ef022359738a96a22f119175f3

Observation 17adb322-5745-459c-9d26-39b6362f4cc0 · outbound

This paper cites Graph filters for signal processing and machine learning on graphs,.

Structured Sheaf Learning of Consistent Connection Graphs Graph filters for signal processing and machine learning on graphs,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.502850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.502850Z digest=sha256:6b932c95078adcb8bd16f9f2cffefe19c74a3f437d6d478e6faeffca1c7765d7

Observation b7dbf6de-3552-484d-8839-dd20d7d2773f · outbound

This paper cites Majorization-Minimization Algo- rithms in Signal Processing, Communications, and Machine Learning,.

Structured Sheaf Learning of Consistent Connection Graphs Majorization-Minimization Algo- rithms in Signal Processing, Communications, and Machine Learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:35.541064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.534275Z digest=sha256:e0a0237aebe732f264a053d413620eecc7c8153c7dbfe05cb30e4cf34d26c15e

Observation 4d88399d-c76c-4f81-8006-bdf2feaa8eee · outbound

This paper cites A unified convergence analysis of block successive minimization methods for nonsmooth optimization,.

Structured Sheaf Learning of Consistent Connection Graphs A unified convergence analysis of block successive minimization methods for nonsmooth optimization,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.552814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.552814Z digest=sha256:165f41f0822fb7cbfcc950873fc85659937bcaecf7979e9f1bb293d45c404181

Observation 09a5c7e3-66ba-481f-9b22-56154bfccaf0 · outbound

This paper cites Boyd and L.

Structured Sheaf Learning of Consistent Connection Graphs Boyd and L

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.584866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.584866Z digest=sha256:2ec7d8d471fd53033bd2ab6f78c72ee0ac17e9f29959dcc6794c33b1afb948b3

Observation 9da8606f-01da-4692-9a51-1bd796999a82 · outbound

This paper cites A solution for the best rotation to relate two sets of vectors,.

Structured Sheaf Learning of Consistent Connection Graphs A solution for the best rotation to relate two sets of vectors,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:35.173884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.614841Z digest=sha256:a94aee5b82c74a6825f8ab1ca684555cbc6889d0d844ba3ef3d776a4945f7d68

Observation 386b5331-a7a1-4744-a9e1-db22b0bb395b · outbound

This paper cites Optimization algorithms on matrix manifolds.

Structured Sheaf Learning of Consistent Connection Graphs Optimization algorithms on matrix manifolds

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:35.084745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.638495Z digest=sha256:989a54fb5f406a7b6f85e6851e8e1575ee633991e14bc8773f66109346f7b084

Observation b06df537-33a5-4c14-955a-1ac4e329718f · outbound

This paper cites Detection of signals by information theoretic criteria,.

Structured Sheaf Learning of Consistent Connection Graphs Detection of signals by information theoretic criteria,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.992580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.652576Z digest=sha256:85a98f5b7efc469cb5832c2e4fb0051d33106cf69c2c1bf8871810b108026b51

Observation a2e55a38-32dd-466b-a35f-6c41fbd64372 · outbound

This paper cites Boumal,An introduction to optimization on smooth manifolds.

Structured Sheaf Learning of Consistent Connection Graphs Boumal,An introduction to optimization on smooth manifolds

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.694822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.694822Z digest=sha256:987e47e7ac1e06fe8d35f8e76e93fd4e949824e16a26bd049c184b5a25e249c2

Observation 77192f35-9f22-475f-9c5c-55c48e645d64 · outbound

This paper cites The Fibonacci lattice,.

Structured Sheaf Learning of Consistent Connection Graphs The Fibonacci lattice,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.856230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.735038Z digest=sha256:74380f6fedf01111e4664ed61d67e65329200676de1cb3c148e803e3ab8efd96

Observation 0d26a82b-6918-4b46-9953-a76657447155 · outbound

This paper cites Diffusion by a random velocity field,.

Structured Sheaf Learning of Consistent Connection Graphs Diffusion by a random velocity field,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.775913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.768146Z digest=sha256:361e801401f77fd2f01ed257d9b7202bc03d79ea7abee253ea7f022237bee162

Observation a1f0c1bd-8aea-42ef-a96b-19870ceb43a0 · outbound

This paper cites GSTools v1. 3: a toolbox for geostatistical modelling in Python,.

Structured Sheaf Learning of Consistent Connection Graphs GSTools v1. 3: a toolbox for geostatistical modelling in Python,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.692407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.804853Z digest=sha256:3caf904365c8b23b34239095f8f6ad3852a68cea7344b2af2772cf3310b14edb

Observation c4d2231b-e45a-4e2d-b9fd-b1ec2a7abc3f · outbound

This paper cites Vetterli, J.

Structured Sheaf Learning of Consistent Connection Graphs Vetterli, J

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.603410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.829766Z digest=sha256:8812bf6ca14ffff2039e3ed08ecc11152d7bc499971914e3ab98e195c69fa6a4

Observation b62ca28c-e084-4b64-a251-e63150a86dbe · outbound

This paper cites An empirical evaluation of deep architectures on problems with many factors of variation,.

Structured Sheaf Learning of Consistent Connection Graphs An empirical evaluation of deep architectures on problems with many factors of variation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.508816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.866056Z digest=sha256:da50632f5ee4b0ef456b5b8e952196ded5af0449ec3d6f14c26f6dc93bf9e137

Observation 29961b64-971f-43ee-bc97-1ce81cce8eff · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance,.

Structured Sheaf Learning of Consistent Connection Graphs Harmonic networks: Deep translation and rotation equivariance,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:33.885857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:35:33.885857Z digest=sha256:c8558aafd84d9f0c6eb9df6cfebe6e7a5a5075f3af5d86bd0fe24f8b56e0824e

Observation 2a3b0458-5d48-4d4b-826f-deaad3a7281d · outbound

This paper cites Learning steerable filters for rotation equivariant cnns,.

Structured Sheaf Learning of Consistent Connection Graphs Learning steerable filters for rotation equivariant cnns,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.374875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.905926Z digest=sha256:5a89a052a00ef39e4a07b8080856774fe9c2425ad80d594c516430c2ec5d8db8

Observation 6eab6b84-c76c-4d12-91d6-192c9472b210 · outbound

This paper cites Graph Structure Learning with Inter- pretable Bayesian Neural Networks,.

Structured Sheaf Learning of Consistent Connection Graphs Graph Structure Learning with Inter- pretable Bayesian Neural Networks,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.294744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.954749Z digest=sha256:2402576aa9fd8bcf6650b24a2580b648350ce143c3df53657dda080830092f74

Observation 2e6a698d-3f78-4623-b75c-4a7d76c6ba0c · outbound

This paper cites The design and use of steerable filters,.

Structured Sheaf Learning of Consistent Connection Graphs The design and use of steerable filters,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:35:34.174821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:35:33.984760Z digest=sha256:dd6eb0de6adcbccbe8b2d86937893a2cef307628cb23dfa7fd352c51f3105528

Pith citing papers

No inbound Pith citation observations are available.