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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 2026-08-16T06:30:59.297886+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
  • malformed identifier0
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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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raw_fallback, observed 2026-08-14T04:35:36.521930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.197036Z digest=sha256:b23c7c4a00f84c36202cf42a8903833a2edc157b224bff103a6788687696be62

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.219751Z digest=sha256:aac461ddfc6b40db78192e086348770e768057dac8fae4c17b4f0bce1eb85548

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.248815Z digest=sha256:aceb62153c9caef60ed98effee8796b8ebf6e46ff6ea8d49f88ca2f4c27d7d8d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.258572Z digest=sha256:08551258a680c77161461fe19e81bb8b030592285297dab1650112f2e0e8c65d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.302395Z digest=sha256:5747a2e14d589acf629bd48b087ee7af1b00359faa86fbfbfa9d6a3563afd86b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.343983Z digest=sha256:2e45543ca6a965bb0356e16b7ed8fc5fdad8c5ccca8fb655a5567f2122899aa4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.386603Z digest=sha256:70bac7942a0d057edf5c30c4da30642789fdac2a3b4229f616eb2c5f5af75ca6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.415479Z digest=sha256:0c4b6b94a1bb8b91ee9b554601c9b87ebd782297549b79fd444896ac1aacfbdf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.534275Z digest=sha256:a54112adf4f787ea55a321416ae319381a303a339f86c240f4718886ba98f82d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.614841Z digest=sha256:110b9bf384ee31b818a554b40c1ab10326509b1884239bcf549fc5a6b5269b64

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.638495Z digest=sha256:713e30c7bbf4f05f40407964118dc689c11d2b5c0234c949309520a3b7c16145

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.652576Z digest=sha256:9ba9ac1f69c0228f04ead95d911022a1fd26b365f83065e91c33aae8565412ad

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.735038Z digest=sha256:316af5e81211183de2ee0f61edb1f137e1a80304eaaae597223ecce1493d7fc9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.768146Z digest=sha256:2aea844c1e8feed881cba1c6f8e58de41a281efea6350c6f5221dfb05093d2e1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.804853Z digest=sha256:8c90ef2ebb7fd1f3e9b81d6acda7f5ca136e1a1be5bb69763d5908667cb7c582

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.829766Z digest=sha256:4bbefb40e57fbae000285bcaaa387966da3d0f14343b1b8280a413010002b9f8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.866056Z digest=sha256:0f5159e57d4fbe7ce1a98c8343bff52d39dfa787f881d9dab4c7db8490cdd81b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.905926Z digest=sha256:0205dbf04a2a008c046ce2dad0cd6c912c911f25140ff7755a0dbe4a8f246c83

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.954749Z digest=sha256:811b3fdc3f677317097f67208df05952ccfcbf3f4264e9f428bef77f61f25a26

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:35:33.984760Z digest=sha256:da111682f93fa09da391d5a05ce440de0b67f2a7e5e3ab15eaa0e30b076dff96

Pith citing papers

No inbound Pith citation observations are available.