Pith. sign in

Paper Citation Record · LEDGER

A General Theory of Equivariant CNNs on Homogeneous Spaces

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1811.02017.

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

pith.paper-citation-record.v1
1811.02017 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:28:18.628993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:45.161573Z

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 b39286ce-768f-477e-b6fc-89a10306ce90 · inbound

Equivariant Action Sampling for Reinforcement Learning and Planning cites this paper.

Equivariant Action Sampling for Reinforcement Learning and Planning A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:28:18.628993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:28:18.628993Z digest=sha256:e9ad1739f9c2f86856dfd9330fe169716c301f6ac3a1f9d54e933960514924f6

Observation c8fcb9c8-49cf-43f7-ad9c-079ed206a035 · inbound

Application of deep neural networks for computing the renormalization group flow of the two-dimensional phi^4 field theory cites this paper.

Application of deep neural networks for computing the renormalization group flow of the two-dimensional phi^4 field theory A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:11:09.839573Z

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=2026-05-18T09:07:29.463814Z digest=sha256:e0c5fcf8f93efebc756512a4afa3ef3f3adba73821ddf2400058d6baee0b6daa

Observation 63aa6a11-419e-4f23-b99b-fbdb5a804164 · inbound

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories cites this paper.

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:24:43.002996Z

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=2026-05-09T23:23:58.393661Z digest=sha256:25eb7648808cf74c06976bc6c87415a88b1fcf863098332f3a8aa605fb952758

Observation d621a5f9-4e0a-46a1-9c95-4d110db95272 · inbound

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories cites this paper.

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:25.235927Z

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=2026-05-07T13:36:39.468709Z digest=sha256:e30910093b70753991fc7a3a2a56b3ebd9889790d897182a8ea5c21a133bc3f1

Observation 34ec605f-a067-4e5c-bb46-65937dea89ea · inbound

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets cites this paper.

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.162850Z

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=2026-06-27T11:20:52.544289Z digest=sha256:8f7f4058733376357090d43be3764701ea61924f012e561db984e25cfb0ebb4e

Observation 6a7b7bc9-54af-44c5-a265-0c3c02cfa258 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:53:56.165194Z

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=2026-06-29T04:37:29.865733Z digest=sha256:f0237b804b20d562bc599967a4597947b5870facac8325af20a1236dbb4d6501

Observation 4789592d-911d-4672-b872-3b4a30512a11 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:04:36.101572Z

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=2026-06-30T09:59:55.032554Z digest=sha256:4c469a0a98455befeacd96d85cd463306359feee157661d2ed6d9afbedce6bd3

Observation 296a0a78-c69b-4b01-958b-cd2ff9e3455f · inbound

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets cites this paper.

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets A General Theory of Equivariant CNNs on Homogeneous Spaces

Reference 65

Resolution
unresolved
no resolver link, observed 2026-07-31T04:19:36.113012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:19:36.113012Z digest=sha256:fee69d41885c5837922efd152bbf37d5f0c672cf4396bcd6b0c467c6d1cc2df1