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Paper Citation Record · LEDGER

Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.14014.

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

pith.paper-citation-record.v1
2408.14014 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:58:42.106020Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:02:20.478285Z

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 69b79757-fe76-4332-a986-5dda942618a5 · inbound

Resilient-Native and Intelligent Next-Generation Wireless Systems: Key Enablers, Foundations, and Applications cites this paper.

Resilient-Native and Intelligent Next-Generation Wireless Systems: Key Enablers, Foundations, and Applications Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:42.106020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:58:42.106020Z digest=sha256:8826a45134236fda017b4092fd2c13d93349269cc2864abea52604dce5b74474

Observation 1374846d-7575-420e-984f-82a38abbb554 · inbound

Ethics through the Facets of Artificial Intelligence cites this paper.

Ethics through the Facets of Artificial Intelligence Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:02:20.482697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:02:20.394256Z digest=sha256:16d0696dc6bfcd272c6033feb3229921918bd88f3a54c40c156b1265b234ee9f