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Paper Citation Record · LEDGER

Stochastic Neural Network Symmetrisation in Markov Categories

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11814.

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

pith.paper-citation-record.v1
2406.11814 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:41:04.767497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:20:38.809297Z

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 b36c7dc2-8f0f-47e4-816c-830b2206d33d · inbound

A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks cites this paper.

A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks Stochastic Neural Network Symmetrisation in Markov Categories

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T15:41:04.767497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:41:04.767497Z digest=sha256:f21d9daa3a33ac0067695b70ba0d2c07d6ceb0f83344f63ea2b5c1b65f4a3bd4

Observation 201fa194-d7a1-437c-bfd7-6d14d411531d · inbound

Approaching the Continuous from the Discrete: an Infinite Tensor Product Construction cites this paper.

Approaching the Continuous from the Discrete: an Infinite Tensor Product Construction Stochastic Neural Network Symmetrisation in Markov Categories

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:20:38.811152Z

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=2026-05-21T21:17:47.895832Z digest=sha256:ff15a45221309ee4878d1b9c5bfaf770861ebf1ef07a65a926f39def438b619d

Observation 7dde44ff-fecf-43ef-88c5-fc6af392093b · inbound

Approaching the Continuous from the Discrete: an Infinite Tensor Product Construction cites this paper.

Approaching the Continuous from the Discrete: an Infinite Tensor Product Construction Stochastic Neural Network Symmetrisation in Markov Categories

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T09:47:01.915224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:47:01.915224Z digest=sha256:64e534b8a44142dee9ae45f486cd024691aa58fc02dbf75c8a0def16b1ebf94d