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Paper Citation Record · LEDGER

Sheaf Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2012.06333.

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

pith.paper-citation-record.v1
2012.06333 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:50:33.312268Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.421614Z

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 5b0e095b-403f-42e6-abb8-0721feb3c42a · inbound

Cellular sheaf Laplacians on the set of simplices of symmetric simplicial set induced by hypergraph cites this paper.

Cellular sheaf Laplacians on the set of simplices of symmetric simplicial set induced by hypergraph Sheaf Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T21:50:33.312268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:50:33.312268Z digest=sha256:23616cd9cc89aeffe959685d1b35f3181574842299f97b4137f3b6da77d04193

Observation ec5d6be0-b18f-47b9-95fe-1401b6ee6e52 · inbound

DeepSN: A Sheaf Neural Framework for Influence Maximization cites this paper.

DeepSN: A Sheaf Neural Framework for Influence Maximization Sheaf Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:30.787398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:30.787398Z digest=sha256:dd1242a87b8b3ad17953d6e652210c585c52a4564c3807b49e5cd7ccd5f59625

Observation 97cf9227-9041-4da8-9bb7-2e9e54d6a269 · inbound

A Physics-informed Sheaf Model cites this paper.

A Physics-informed Sheaf Model Sheaf Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T00:49:47.835555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:49:47.835555Z digest=sha256:6dc6c117bb302dcbdf53cd9ca45906c5045c5f87234248ad635d2c42301beac5

Observation 8ce2e882-e3a7-4b8e-9570-da8d2a263f62 · inbound

Cellular Sheaves on Higher-Dimensional Structures cites this paper.

Cellular Sheaves on Higher-Dimensional Structures Sheaf Neural Networks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:49.714566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:49.714566Z digest=sha256:f54e1598235ee99874d004d7a56ce76db7b7cfa23d375cfc69fabc5182d769b5

Observation 31892b17-ae87-4d06-98bd-3fc0ee415f94 · inbound

Sheaves Reloaded: A Directional Awakening cites this paper.

Sheaves Reloaded: A Directional Awakening Sheaf Neural Networks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:01.028710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:01.028710Z digest=sha256:0d4fe5971ebfbe353799390f2784c7b38ddd89fee2e09e0f51b096f7f75c0fac

Observation 982aaf85-817a-4048-8310-97dcf8921514 · inbound

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves cites this paper.

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves Sheaf Neural Networks

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:19.109876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T12:51:29.926471Z digest=sha256:49a0568f8fb1f08211a9113f89d0c6c65d32e836474dbbec9ef245432287b6de

Observation a477fca6-2d90-4168-8037-b738145f42d0 · inbound

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves cites this paper.

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves Sheaf Neural Networks

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:59:55.492982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T08:57:04.570689Z digest=sha256:1842814d02fe1b17d7cc52bf5abca07031866fff336af6932bfbbb860ef9cb7d

Observation 7c5966ea-b10a-48c2-b3e7-b011d6cc812b · inbound

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics cites this paper.

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics Sheaf Neural Networks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:18:08.241591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T08:17:44.126296Z digest=sha256:5a21bd8f51deb9b4e7b954715ec5f2da3f06fcd1b8fd502d4597a0eccb0abb62

Observation 9d4254de-4263-4a05-96e3-ac558d8865d1 · inbound

Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles cites this paper.

Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles Sheaf Neural Networks

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:36:25.655488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T11:44:32.359058Z digest=sha256:8306cc0302e02eece2bc938df2dfedcbce890de551a96001a1029523393845fc

Observation c52f589f-714b-4ffc-ad5b-e64c2dac048d · inbound

Topological Neural Operators cites this paper.

Topological Neural Operators Sheaf Neural Networks

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:17:29.672165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T17:16:43.215623Z digest=sha256:13f177a7e349b1692f52ea2809a28c498ce034680143880396bfc62c9dd1116b

Observation 0a7a7cb5-d1a3-4e5a-9cd8-e830d5b5c85c · inbound

Hierarchical Pooling for Sheaf Neural Networks cites this paper.

Hierarchical Pooling for Sheaf Neural Networks Sheaf Neural Networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.423883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T17:49:00.449821Z digest=sha256:d93ad327f0d03276949250ee09c54ee3c8771c68b6f7363cc802268530bd7469

Observation 2574a46f-3955-4344-a97e-a210529aecaa · inbound

Benchmarking Sheaf Neural Networks for Inductive Tasks cites this paper.

Benchmarking Sheaf Neural Networks for Inductive Tasks Sheaf Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T04:52:31.996213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:52:31.996213Z digest=sha256:ef5ec2c474ebb63adfb6fb6719c3a4f71436e290fd75e89346b9ff6a607f3f10

Observation 9828dc06-6a46-4d6b-acd5-9641e061834c · inbound

SEAM: Global consistency beyond local accuracy in scientific machine learning cites this paper.

SEAM: Global consistency beyond local accuracy in scientific machine learning Sheaf Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T00:51:59.861089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:51:59.861089Z digest=sha256:fc5201e15f045609260b2cd9ea4d47fbc88354ae07f65018c5ed501de874774b