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Paper Citation Record · LEDGER

A Geometric Framework for Understanding Memorization in Generative Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.00113.

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

pith.paper-citation-record.v1
2411.00113 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:51.329494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:16:30.706731Z

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 3e926585-6ec0-4629-9622-8b437b1f9ceb · inbound

Diffusion models under low-noise regime cites this paper.

Diffusion models under low-noise regime A Geometric Framework for Understanding Memorization in Generative Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:51.329494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:51.329494Z digest=sha256:0a3f2bb68362bf62232c2ea1680074ad3c998bca14329e747777a9136a8703e8

Observation 07462c6b-318e-4c7c-977d-81b47d6729f7 · inbound

Filtering Memorization from Parameter-Space in Diffusion Models cites this paper.

Filtering Memorization from Parameter-Space in Diffusion Models A Geometric Framework for Understanding Memorization in Generative Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:30.709931Z

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=2026-05-12T03:29:57.144579Z digest=sha256:f79db26240e18dc1954e4cd723abf688b31aa5c6e54d9ea0ee2e77cd54c10503

Observation 571b5d58-2e93-419f-a493-0d3a07bded67 · inbound

Filtering Memorization from Parameter-Space in Diffusion Models cites this paper.

Filtering Memorization from Parameter-Space in Diffusion Models A Geometric Framework for Understanding Memorization in Generative Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T17:07:07.555720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:07:07.555720Z digest=sha256:a5c0b26a94786b9fa2c1be831974a405bad9d57c2ada7d4c9564fe8327ac5100