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Paper Citation Record · LEDGER

Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.17137.

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

pith.paper-citation-record.v1
2311.17137 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:19.459250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:21:53.142680Z

Reference resolution

0 of 0 outbound references displayed

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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 7b75205f-a92a-4d60-b0f7-5b1cf47669a4 · inbound

SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model cites this paper.

SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion Model Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:19.459250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed575bf2-ea23-4aaa-b78b-9c3f66bfe943 · inbound

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment cites this paper.

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:58.437845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7aacac6b-0af7-403d-9e28-016e9b1c5af4 · inbound

DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering cites this paper.

DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:04:26.562450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1294f2ad-ddf2-427e-8caa-85008183a972 · inbound

DepthDark: Robust Monocular Depth Estimation for Low-Light Environments cites this paper.

DepthDark: Robust Monocular Depth Estimation for Low-Light Environments Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:44:24.575482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:24.575482Z digest=sha256:069de2fc2fedd5c423b296d47cc8a6154d57e30b6378014aba47b971d0eaa2e5

Observation 97ef18b1-c6f8-476f-a840-b12f675d0e74 · inbound

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering cites this paper.

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:21:53.145304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T22:17:55.678629Z digest=sha256:48faa14bde77e9d1bd4fa2fe61ab2cad33db60f0dd862fbb838dd4ec88efb9c0

Observation 54803bd3-a909-4382-82c9-5403e4d18f78 · inbound

Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics cites this paper.

Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics Generative Models: What Do They Know? Do They Know Things? Let's Find Out!

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T05:44:11.457395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:44:11.457395Z digest=sha256:e93fef5535624487275e6d2979ed823b826dd9785d565119c17dbef4d22c4804