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Paper Citation Record · LEDGER

Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.13603.

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

pith.paper-citation-record.v1
2209.13603 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:59:54.669243Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf5df1d0-089e-4e35-b3c5-0f7b20a3654a · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T16:59:54.669243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:59:54.669243Z digest=sha256:4a30c0f2de2549287cba3624dc2cbc18467b5630970597025571717de6f0680f

Observation b55e05ab-415b-4024-aebc-6d9cc8f7b6b5 · inbound

Generalized Spherical Neural Operators: Green's Function Formulation cites this paper.

Generalized Spherical Neural Operators: Green's Function Formulation Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:08:40.063269Z

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.

source=pdf_text observed=2026-05-16T23:05:33.582759Z digest=sha256:768e534e892ddbe98c8f91f0ff490d0fb451af39ea492aab194c2a59ff89fe35

Observation e0c9c573-6f60-4964-a284-7d3c6097ec4d · inbound

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators cites this paper.

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:16:37.731824Z

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.

source=pdf_text observed=2026-05-15T21:14:39.597264Z digest=sha256:67109d543a55b2e100bdaad633b2025a11669f6987cf88ad5e117396492c1dd4

Observation c0bfe126-ed7d-47cf-863f-29544094eab9 · inbound

Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics cites this paper.

Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-06-27T12:00:53.295865Z

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.

source=arxiv_source observed=2026-06-27T11:58:47.558898Z digest=sha256:e338e0fd740c8fd9b9472871df4b70fcdc3e735e3071cac4fddb24ca19ec3ade

Observation ef1c81c0-0e3d-45c1-9ceb-d5932d46be93 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-06-29T20:03:56.683705Z

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.

source=pdf_text observed=2026-06-29T04:35:58.372801Z digest=sha256:9aa44f5daa6b7de9e16c135a95aebb033a609aaecd98e929cbf5d28f14d9e21a

Observation 6551499e-03e2-4020-bb90-c8cabb2e8f6a · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-02T09:58:53.077245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:58:53.077245Z digest=sha256:272ef3075246c0d9987bc939f6d9e0b4e011e9d855c06bb1fb24e764000f4f5b

Observation c991cb61-44de-49f9-b287-991d98224220 · inbound

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds cites this paper.

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.020793Z

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.

source=pdf_text observed=2026-07-02T01:57:31.255596Z digest=sha256:d8e9e71755d86de9cd4026d19e7368662da9d7b093ac425b39df09fc6baadfe1