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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:10:12.619932Z

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.

source=arxiv_source observed=2026-08-11T15:10:12.619932Z digest=sha256:5df9e068aa63deb27bd3caba9bbf3c86faa5a1e248cf11fa0dbcdc679e358692

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.

source=arxiv_source observed=2026-08-10T23:32:26.634726Z digest=sha256:1a2104790afcadeb2c569cd0d3c9bfd6e78d45ef343f902cf94224b5be74c25a

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.

source=pdf_text observed=2026-08-03T05:17:22.426123Z digest=sha256:8d1a24c09bab47e958aef8a390215471f55a84a47985c95a415b1f541759c21e