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Paper Citation Record · LEDGER

Conditional Stochastic Interpolation for Generative Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.05579.

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

pith.paper-citation-record.v1
2312.05579 v3

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:30:23.635863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:57:26.150175Z

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 d640ca33-6394-4359-85df-1b806818694c · inbound

PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation cites this paper.

PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Conditional Stochastic Interpolation for Generative Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T10:30:23.635863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:30:23.635863Z digest=sha256:4df4fd3c182b29b8ba0193f5f1e3b6a09d5cf08e80ad195b51cb8fd7e174d943

Observation c4d4d87e-1b71-4c06-9f3a-c0e6a093d7d2 · inbound

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models cites this paper.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Conditional Stochastic Interpolation for Generative Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:57:26.151599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T18:35:15.196183Z digest=sha256:9e4fea901939eb3385ffadeee41bcc288e360600b431da555b715b5b375051de

Observation 1dc65c33-5e83-4a2a-b996-013e482b68a4 · inbound

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations cites this paper.

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations Conditional Stochastic Interpolation for Generative Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T20:13:45.068187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:13:45.068187Z digest=sha256:75f86827baeaf9051b0756ec7bc976fd1f3437c505f5507bff3ebafb6733b587