Paper Citation Record · LEDGER

In search of dispersed memories: Generative diffusion models are associative memory networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.17290.

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

pith.paper-citation-record.v1
2309.17290 v2

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:51:16.142940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:32:27.057630Z

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 229c6544-569b-4e0b-ad07-a6982d850c8a · inbound

Hierarchical cell identities emerge from animal gene regulatory mechanisms cites this paper.

Hierarchical cell identities emerge from animal gene regulatory mechanisms In search of dispersed memories: Generative diffusion models are associative memory networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:10:12.619932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6d6ff8-4133-48bc-b645-7534c3fc8e2d · inbound

An analytic theory of creativity in convolutional diffusion models cites this paper.

An analytic theory of creativity in convolutional diffusion models In search of dispersed memories: Generative diffusion models are associative memory networks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:32:27.063839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 392b8301-f46d-48ef-999c-45357ae6976a · inbound

Binding threshold units with artificial oscillatory neurons cites this paper.

Binding threshold units with artificial oscillatory neurons In search of dispersed memories: Generative diffusion models are associative memory networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:51:16.142940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5ab80c-a222-4c12-831d-8efc96d7159a · inbound

A Random Matrix Theory Perspective on the Consistency of Diffusion Models cites this paper.

A Random Matrix Theory Perspective on the Consistency of Diffusion Models In search of dispersed memories: Generative diffusion models are associative memory networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:17:22.426123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.