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Paper Citation Record · LEDGER

Adversarial score matching and improved sampling for image generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.05475.

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

pith.paper-citation-record.v1
2009.05475 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:52.674135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:19.392182Z

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 6f987ce1-aff6-4f80-ae82-8577abfbf205 · inbound

Score-Based Generative Modeling through Stochastic Differential Equations cites this paper.

Score-Based Generative Modeling through Stochastic Differential Equations Adversarial score matching and improved sampling for image generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-24T14:09:33.104141Z

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=2026-05-24T14:07:23.827368Z digest=sha256:99761d10440f3bafd4d01efd0fbd46ea82fc45b46de7939d31f116f3e0d6bc89

Observation f6b018cc-3c14-4e7e-a633-f7d2a5170fc0 · inbound

Diffusion Models Beat GANs on Image Synthesis cites this paper.

Diffusion Models Beat GANs on Image Synthesis Adversarial score matching and improved sampling for image generation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:16:28.558789Z

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=pdf_text observed=2026-05-13T11:16:28.445702Z digest=sha256:0dbb5a12d672bdc2c38266dbf6eb11811666f002b43c4c6d739a5e02562c444e

Observation 7a6cc956-57a3-4100-bed4-b3e9250bda4e · inbound

The GAN is dead; long live the GAN! A Modern GAN Baseline cites this paper.

The GAN is dead; long live the GAN! A Modern GAN Baseline Adversarial score matching and improved sampling for image generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:52.674135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:52.674135Z digest=sha256:75e97d927290c65c21efd5a4627e1506b7c4696d65ed562592b4f6327c8cdb53

Observation 81f9dabe-358b-4cc4-97a1-ac9a4618fd8c · inbound

A unified perspective on fine-tuning and sampling with diffusion and flow models cites this paper.

A unified perspective on fine-tuning and sampling with diffusion and flow models Adversarial score matching and improved sampling for image generation

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:21.718768Z

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=2026-05-09T19:43:42.331642Z digest=sha256:7de84054744e229a90208efa7c1d2fd866fc9eedd9e3407bc625efe1d92ed4fc

Observation f6d563a7-c08f-4717-bd03-1e963d0eefd2 · inbound

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL cites this paper.

The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL Adversarial score matching and improved sampling for image generation

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:19.395614Z

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=2026-06-26T20:54:15.234897Z digest=sha256:c932563f26f07d85b6375eae7eb70d66e5eb3137cb3f3ac19f978dfe48338a2d