Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:10:53.409882Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2411.15584.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:10:53.409882Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:56.027161Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:54:57.415571Z
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation de3b8258-7ece-4cde-8ede-485f4df56694 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Rethinking fid: Towards a better evaluation metric for image generation.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9307–9315, 2023
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8dc60354-d3f2-413e-85cf-d08234ba007d · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5c766c47-4864-4683-a44a-80fab58259b9 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Normalizing flow-based metric for image generation, 2024
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 739a33f0-7bc1-4bd7-9ba5-c9773f37143f · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Improved techniques for training gans
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e5aecfbc-6ca1-4654-9340-7bf27c4d5fcf · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Sutherland, Michael Arbel, and Arthur Gretton
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 08e9f291-4061-4616-a522-c6eb809bc62d · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models A style-based generator architecture for generative adversarial networks
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f29513a8-081a-418a-a499-f59a128e1d31 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d820ecaf-23fa-4e9a-be7c-89bcd5f8c328 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, and Michael S
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 86d323b1-d858-4066-af45-fe0dd6fa7e89 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models The fréchet distance between multivariate normal distributions
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8cc97f8f-4c20-4ca7-b642-70b819b10f29 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Effectively unbiased fid and inception score and where to find them
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b4d189d9-4d60-4867-b209-3ceabaa818b2 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Rethinking the inception architecture for computer vision
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6ea09c9e-c703-4406-b793-3b855bc7b363 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models On aliased resizing and surprising subtleties in gan evaluation, 2022
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c747a222-a091-4dd4-8699-6a54720be805 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Unresolved cited work
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33d68a6d-c8f1-49d0-ba5e-c72538791cc5 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Prince, and Marcus A
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7cadfa5f-b113-496e-a026-677090e8a3f4 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Progressive growing of gans for improved quality, stability, and variation, 2018
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01fc00d4-72f9-4962-b0eb-c622a18b8182 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Neural spline flows, 2019
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1efdda01-7776-4645-99f1-7cc3292bbb7d · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Deep residual learning for image recognition, 2015
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3babdb9a-3be7-4415-9dbd-0bb7f7fe6b4e · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Denoising diffusion probabilistic models
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd28c511-19ec-4217-b502-3fd8d70f1580 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Stable diffusion 100k custom prompts and images, 2023
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d8a8cb8-cd98-4eb1-92f1-87c56fd80e2a · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation daf12eda-43d7-4e3f-9865-2881d7488379 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models High-resolution image synthesis with latent diffusion models, 2022
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15495982-c18c-41ad-826e-a14c56b9cbcc · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Analyzing and improving the image quality of stylegan, 2020
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68d1a822-5b9e-4675-ad69-90045c23d880 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Le, and Hartwig Adam
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e571946-e772-49b6-9444-67561be94344 · outbound
FLD+: Data-efficient Evaluation Metric for Generative Models Ddpm: Pytorch implementation of denoising diffusion probabilistic models
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f709d5b-61d1-4bb6-ab67-c5cf5b8d6ead · inbound
Interpretable EEG-to-Image Generation with Semantic Prompts FLD+: Data-efficient Evaluation Metric for Generative Models
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.