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Paper Citation Record · LEDGER

How Diffusion Models Learn to Factorize and Compose

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.13256.

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

pith.paper-citation-record.v1
2408.13256 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:45.581706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:48.962560Z

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 c39a7277-4305-41af-8a9d-40b39ba9a403 · inbound

Position: A Theory of Deep Learning Must Include Compositional Sparsity cites this paper.

Position: A Theory of Deep Learning Must Include Compositional Sparsity How Diffusion Models Learn to Factorize and Compose

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:45.581706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:45.581706Z digest=sha256:44a4f663462090c6aed8c4e5ac1b00c2117fea61bbb9cb5b21260956e9325b33

Observation ddf34bf7-6b47-42de-9904-26a3a09f0ed3 · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs How Diffusion Models Learn to Factorize and Compose

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:48.964203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T18:06:01.684713Z digest=sha256:b33056ef1de40637572047ae0a6f0f3c3cf7fcf902d2433e75699ab53fbdca9a