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Paper Citation Record · LEDGER

GAIA: Categorical Foundations of Generative AI

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.18732.

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

pith.paper-citation-record.v1
2402.18732 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:20:10.374452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:28:19.536048Z

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 b0e45c76-e3b0-494e-b080-b878d5317660 · inbound

Topos Theory for Generative AI and LLMs cites this paper.

Topos Theory for Generative AI and LLMs GAIA: Categorical Foundations of Generative AI

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T04:20:10.374452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:20:10.374452Z digest=sha256:7587ad42288f6929a759798bd93e6c859213b1eba2372c4ad53bc65e18d32149

Observation e2a8eae0-9868-4618-98f2-f4ebed936e5d · inbound

SPIRiT Regularization: Parallel MRI with a Combination of Sensitivity Encoding and Linear Predictability cites this paper.

SPIRiT Regularization: Parallel MRI with a Combination of Sensitivity Encoding and Linear Predictability GAIA: Categorical Foundations of Generative AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T18:08:10.948931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:08:10.948931Z digest=sha256:4944c1cc74c22f9e8d8bbfbe0f996e09a7ae7159e396f876f000f0e1b547e43e

Observation 42aef535-5dcd-49aa-acbe-a6e673090b5b · inbound

A Type Theory of Sense: Witnessed Choice in Stratified Semantic Spaces cites this paper.

A Type Theory of Sense: Witnessed Choice in Stratified Semantic Spaces GAIA: Categorical Foundations of Generative AI

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:28:19.537466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:52:52.782770Z digest=sha256:dea7cc1c024e4f5c7e6134df5a48af497449bd37d0356842a8071f3389465a86