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Paper Citation Record · LEDGER

Clifford Group Equivariant Neural Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.11141.

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

pith.paper-citation-record.v1
2305.11141 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:04:18.864523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:09:53.219956Z

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 fd87c79b-b4d1-474c-ad76-a08b4b11f41f · inbound

The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation cites this paper.

The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation Clifford Group Equivariant Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:45:19.209764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T08:42:20.931132Z digest=sha256:6d88519c5df58d5a19127ffb79f5290c9493ed14b3c691285ac8b98781da07a4

Observation 8de0be42-760f-4470-b7d5-6e6d08d1ac75 · inbound

The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation cites this paper.

The Program Hypergraph: Multi-Way Relational Structure for Geometric Algebra, Spatial Compute, and Physics-Aware Compilation Clifford Group Equivariant Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T23:04:18.864523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:04:18.864523Z digest=sha256:5599225e781394fc699d6cd206db36299db8ea15b883e8a678d004b943998896

Observation fccd4a34-8a86-4784-836b-4906c8287f5e · inbound

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI cites this paper.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Clifford Group Equivariant Neural Networks

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:09:53.222021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T09:07:06.620864Z digest=sha256:26b1956614ac81c41b365588b740ac4cbe6646dfba6ee97776e5d71aa6080f19

Observation eac12f86-91f1-484d-aea5-bc9e5d70353b · inbound

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI cites this paper.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI Clifford Group Equivariant Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:03:58.008815Z digest=sha256:7a7aee23eecf15af0cd74924d72f4520fb8cde8d6565d00134fb8ffd326e2ffa