Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:51:33.352897Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.00664.
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 2026-08-10T22:51:33.352897Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 017b63d4-05b4-42a5-9da7-af16efbc809c · outbound
Grade Inflation in Generative Models The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
Reference 1
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Observation 6999bddf-856a-4273-a6a1-7cdc94ee8ab0 · outbound
Grade Inflation in Generative Models lucie: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository, October 2024
Reference 2
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Observation 9361359d-42ff-471a-83d2-269e4721fee0 · outbound
Grade Inflation in Generative Models Beaulieu-Jones, Zhiwei Steven Wu, Chris Williams, Ran Lee, Sanjeev P
Reference 3
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Observation 6fadb0c7-a6da-4319-8ce9-706ef80e63b8 · outbound
Grade Inflation in Generative Models Opportunities for synthetic data in nature and climate finance
Reference 4
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Observation 166d6cb1-b0e8-485f-84b6-f4ccaea09be0 · outbound
Grade Inflation in Generative Models Comprehensive Exploration of Synthetic Data Generation: A Survey
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Observation 609d4055-24ac-44df-af73-4a10fdefcced · outbound
Grade Inflation in Generative Models Adapting vision-language AI models to cardiology tasks
Reference 6
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Observation 9647f1e6-1b25-483c-a9ba-0006dbe365fc · outbound
Grade Inflation in Generative Models Sengupta, Sanjiv J
Reference 7
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Grade Inflation in Generative Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 8
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Grade Inflation in Generative Models Visualizing Data using t-SNE
Reference 9
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Observation 9dc9a57e-940a-4bdd-b53d-c7ecaa341142 · outbound
Grade Inflation in Generative Models Jolliffe and Jorge Cadima
Reference 10
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Observation fc6000be-9f20-4b11-b5ca-83c71f74f34b · outbound
Grade Inflation in Generative Models How Good Is My GAN? In Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss, editors, Computer Vision – ECCV 2018 , pages 218–234, Cham, 2018
Reference 11
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Observation 6fd2882b-5441-4714-8c30-ba5e0457de42 · outbound
Grade Inflation in Generative Models Synthetic Data Metrics , 12 2024
Reference 12
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Observation a468ee6c-af31-4b7d-aa7c-2f128da37064 · outbound
Grade Inflation in Generative Models Unresolved cited work
Reference 13
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Observation 45687769-e1d3-4f49-bcbc-6089d3e534e6 · outbound
Grade Inflation in Generative Models Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing
Reference 14
Source-reported events for the cited work
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Observation 00089047-17d0-4d86-a9d2-df3f1ee60895 · outbound
Grade Inflation in Generative Models Rediscovering the power of pairwise interactions
Reference 15
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Observation d148413b-116e-4499-b74f-c9b38730ed3a · outbound
Grade Inflation in Generative Models Berry, Ronen Segev, and William Bialek
Reference 16
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Observation a35447a4-4fb2-4731-8127-4039f1f757a6 · outbound
Grade Inflation in Generative Models The Estimation of Copulas: Theory and Practice
Reference 17
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Observation 5c3b1673-b270-47e4-a059-68717cdf9892 · outbound
Grade Inflation in Generative Models Modeling Tabular data using Conditional GAN, October
Reference 18
Source-reported events for the cited work
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Observation 387aeb8b-7ac7-4a90-a14e-c2fc33484907 · outbound
Grade Inflation in Generative Models Synthesizing tabular data using conditional GAN
Reference 19
Source-reported events for the cited work
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Observation 860e3394-b99d-46b9-8aa1-96aa514168ca · outbound
Grade Inflation in Generative Models norm- flows: A pytorch package for normalizing flows
Reference 20
Source-reported events for the cited work
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Observation 9b466d35-5ed1-4748-bc20-7b80ba64efa9 · outbound
Grade Inflation in Generative Models Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires
Reference 21
Source-reported events for the cited work
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Observation 6a61638e-b0ee-4eb1-af14-736ec944d1d6 · outbound
Grade Inflation in Generative Models seaborn: statistical data visualization
Reference 22
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Observation 2e31175d-1d91-4bc0-9495-d846ee27f2ef · outbound
Grade Inflation in Generative Models Unresolved cited work
Reference 23
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Observation 7788dfe1-ed7d-4ff5-b8a9-4719f29539fe · outbound
Grade Inflation in Generative Models Kullback and R
Reference 24
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Observation 4b3619a9-0b8c-445e-a9d3-242fe9ca1348 · outbound
Grade Inflation in Generative Models Fast and robust earth mover’s distances
Reference 25
Source-reported events for the cited work
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Observation e5cbb231-957a-4035-8946-7547a1301bd3 · outbound
Grade Inflation in Generative Models THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1
Reference 26
Source-reported events for the cited work
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Observation 21746f3a-f628-4ec1-9014-8ed3110c3a0a · outbound
Grade Inflation in Generative Models Markov processes over denumerable products of spaces, describing large systems of automata
Reference 27
Source-reported events for the cited work
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Observation 23d23298-4493-462a-9ce7-4bf8d220f15f · outbound
Grade Inflation in Generative Models Unresolved cited work
Reference 28
Source-reported events for the cited work
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Observation cf2b7ba9-1e27-43d2-9ee2-a9e20cc6de21 · outbound
Grade Inflation in Generative Models Rubner, C
Reference 29
Source-reported events for the cited work
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Observation fd2a6be9-1ed6-4c9c-85eb-3050be7fe84d · outbound
Grade Inflation in Generative Models Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation 035da42f-57fb-4e2c-947a-69ce70c3794b · outbound
Grade Inflation in Generative Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Reference 31
Source-reported events for the cited work
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Observation 00795733-eee1-4f03-ab10-a8c7af902a51 · outbound
Grade Inflation in Generative Models Étude comparative de la distribution florale dans une portion des Alpes et du Jura
Reference 32
Source-reported events for the cited work
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Observation 651b95a8-99f6-4bdc-b20b-3b3560a039c6 · outbound
Grade Inflation in Generative Models Entropy and Diversity: The Axiomatic Approach
Reference 33
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Observation cb803b75-051b-4264-86a1-14a900ceb8b7 · outbound
Grade Inflation in Generative Models Six (and a half) intuitions for KL divergence
Reference 34
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Observation ba01c927-eede-4ba0-ba88-be686c08d46f · outbound
Grade Inflation in Generative Models Greene, Nicholas R
Reference 35
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Observation 5d87f608-5754-4910-818c-51acf45fa369 · outbound
Grade Inflation in Generative Models Page Version ID: 1262760765
Reference 36
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Observation 5590209f-38a7-4ec2-b166-eee322aae5e5 · outbound
Grade Inflation in Generative Models Validation of Bayesian posterior distributions using a multidimensional Kolmogorov--Smirnov test
Reference 37
Source-reported events for the cited work
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Observation b9860c2e-ed83-4e95-a8cb-6ce751985a4f · outbound
Grade Inflation in Generative Models Goodness of Fit
Reference 38
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Observation 5c89b8a5-31f1-49b8-bf07-0a3747f47de1 · outbound
Grade Inflation in Generative Models Unresolved cited work
Reference 39
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Observation 8ea8d58f-7160-452b-be1b-082df05ec68d · outbound
Grade Inflation in Generative Models Entropy and diversity
Reference 40
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Observation a66ce38d-d463-4e3b-8491-0a4a45012994 · outbound
Grade Inflation in Generative Models Berger and Frances L
Reference 41
Source-reported events for the cited work
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Observation 115561bc-2d91-472f-9d4b-c34d38a1f5b6 · outbound
Grade Inflation in Generative Models R\'enyi Divergence Variational Inference
Reference 42
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Observation 1a38db77-f14d-4329-a2f3-d389c5ad64d5 · outbound
Grade Inflation in Generative Models How to partition diversity
Reference 43
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Observation a95d3831-10a1-4604-96bc-23d645c7b329 · outbound
Grade Inflation in Generative Models greylock: A python package for measuring 11 the composition of complex datasets
Reference 44
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.