Pith. sign in

Paper Citation Record · LEDGER

Grade Inflation in Generative Models

As of 15 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.

pith.paper-citation-record.v1
2501.00664 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:51:33.352897Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact3
  • verified fuzzy26
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 017b63d4-05b4-42a5-9da7-af16efbc809c · outbound

This paper cites The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN).

Grade Inflation in Generative Models The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:51:33.570780Z

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=2026-08-10T22:51:33.198088Z digest=sha256:c1f57bcb896f279c24e826dcd0e268a22332cccd9d4f05b023bdb67efed459f5

Observation 6999bddf-856a-4273-a6a1-7cdc94ee8ab0 · outbound

This paper cites lucie: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository, October 2024.

Grade Inflation in Generative Models lucie: An Improved Python Package for Loading Datasets from the UCI Machine Learning Repository, October 2024

Reference 2

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T22:51:33.926195Z

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=2026-08-10T22:51:33.203038Z digest=sha256:76160c8762190e31d3cdb113e316909a2d330b7df5bb6949c97ca7ed282f364f

Observation 9361359d-42ff-471a-83d2-269e4721fee0 · outbound

This paper cites Beaulieu-Jones, Zhiwei Steven Wu, Chris Williams, Ran Lee, Sanjeev P.

Grade Inflation in Generative Models Beaulieu-Jones, Zhiwei Steven Wu, Chris Williams, Ran Lee, Sanjeev P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.914424Z

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=2026-08-10T22:51:33.206981Z digest=sha256:29bccf2335b4bf7037c2983a8723d0f13fbc0bb60bf350f7841cc3d5e3b0ea24

Observation 6fadb0c7-a6da-4319-8ce9-706ef80e63b8 · outbound

This paper cites Opportunities for synthetic data in nature and climate finance.

Grade Inflation in Generative Models Opportunities for synthetic data in nature and climate finance

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.903299Z

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=2026-08-10T22:51:33.211045Z digest=sha256:73e0f3d3f881a3da378114dfab5a1ab3905ed8eeccffe01d5158244223503561

Observation 166d6cb1-b0e8-485f-84b6-f4ccaea09be0 · outbound

This paper cites Comprehensive Exploration of Synthetic Data Generation: A Survey.

Grade Inflation in Generative Models Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.214721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.214721Z digest=sha256:a9e799b8515f800e9597347a227fca9bc0219a0173cc575f3c8320622d9abaa4

Observation 609d4055-24ac-44df-af73-4a10fdefcced · outbound

This paper cites Adapting vision-language AI models to cardiology tasks.

Grade Inflation in Generative Models Adapting vision-language AI models to cardiology tasks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.891956Z

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=2026-08-10T22:51:33.218909Z digest=sha256:49901a354399fb8fac75b6bc3717e7e2e8e86e0eac90e22e2daa965d776b3f6f

Observation 9647f1e6-1b25-483c-a9ba-0006dbe365fc · outbound

This paper cites Sengupta, Sanjiv J.

Grade Inflation in Generative Models Sengupta, Sanjiv J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.880072Z

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=2026-08-10T22:51:33.223138Z digest=sha256:e5ef6032d087bb8bcd27f6b93e8878a9af3cc06653cdb3c390748e292e79523b

Observation 6af3da0f-1d76-4633-86ee-e0e96ef0ae7d · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Grade Inflation in Generative Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.226591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.226591Z digest=sha256:b66723577ea48d69e3dc9ad2331d80db3b4085e2eb9cb5324861352fbc851b9f

Observation 9ee7f3f4-0bf1-40dd-a684-1e47fb7fdf30 · outbound

This paper cites Visualizing Data using t-SNE.

Grade Inflation in Generative Models Visualizing Data using t-SNE

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.868699Z

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=2026-08-10T22:51:33.230191Z digest=sha256:1e003c3f31d468f414a6d1e494080fb25c443278bd2c12e82f8d30cf57a6dd45

Observation 9dc9a57e-940a-4bdd-b53d-c7ecaa341142 · outbound

This paper cites Jolliffe and Jorge Cadima.

Grade Inflation in Generative Models Jolliffe and Jorge Cadima

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.233778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.233778Z digest=sha256:2786655b1e0f363d57f5630ab0611d4c8f702a2b1257174ed28da9c4c01a7443

Observation fc6000be-9f20-4b11-b5ca-83c71f74f34b · outbound

This paper cites 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.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.850679Z

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=2026-08-10T22:51:33.237418Z digest=sha256:cc4f27ec03c04883814f7e173b56ce6f42245b285b10ee8339808fd1c6311876

Observation 6fd2882b-5441-4714-8c30-ba5e0457de42 · outbound

This paper cites Synthetic Data Metrics , 12 2024.

Grade Inflation in Generative Models Synthetic Data Metrics , 12 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.839613Z

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=2026-08-10T22:51:33.240886Z digest=sha256:7c08ccdaec95df65fd7e9335e2707a08dbe98a713e1b9060ef0eebda604fbefc

Observation a468ee6c-af31-4b7d-aa7c-2f128da37064 · outbound

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:51:33.828152Z

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=2026-08-10T22:51:33.244112Z digest=sha256:bf14bb8047b8ebf3faff82d7779147d2b6df7e1361399a6161b6a4a3a3e9e3b0

Observation 45687769-e1d3-4f49-bcbc-6089d3e534e6 · outbound

This paper cites Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

Grade Inflation in Generative Models Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.815452Z

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=2026-08-10T22:51:33.247620Z digest=sha256:c5f5c33ca2d642578e0a000809fca29bdd64e2730d3548f62fff80e9d3f08f47

Observation 00089047-17d0-4d86-a9d2-df3f1ee60895 · outbound

This paper cites Rediscovering the power of pairwise interactions.

Grade Inflation in Generative Models Rediscovering the power of pairwise interactions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.251146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.251146Z digest=sha256:9922ee9e656631e00802cd021c4954991cd1eec65b5c72b24ff30c27b002ae05

Observation d148413b-116e-4499-b74f-c9b38730ed3a · outbound

This paper cites Berry, Ronen Segev, and William Bialek.

Grade Inflation in Generative Models Berry, Ronen Segev, and William Bialek

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.804410Z

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=2026-08-10T22:51:33.255007Z digest=sha256:90fa302553b54422fe7b442826c40f044855f331d310d19161c724808c00894d

Observation a35447a4-4fb2-4731-8127-4039f1f757a6 · outbound

This paper cites The Estimation of Copulas: Theory and Practice.

Grade Inflation in Generative Models The Estimation of Copulas: Theory and Practice

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.793578Z

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=2026-08-10T22:51:33.258446Z digest=sha256:6f4ff06e2f404840ad91defa6cda3ada366957e8d1a6f8c6fb393191d65245c7

Observation 5c3b1673-b270-47e4-a059-68717cdf9892 · outbound

This paper cites Modeling Tabular data using Conditional GAN, October.

Grade Inflation in Generative Models Modeling Tabular data using Conditional GAN, October

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.783080Z

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=2026-08-10T22:51:33.261870Z digest=sha256:43af852b98f673552fbc1eb82f4b4bb9969f089f0019844c692413e5fe8ba31b

Observation 387aeb8b-7ac7-4a90-a14e-c2fc33484907 · outbound

This paper cites Synthesizing tabular data using conditional GAN.

Grade Inflation in Generative Models Synthesizing tabular data using conditional GAN

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.773195Z

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=2026-08-10T22:51:33.265849Z digest=sha256:c4c6ba09ed5215f2f03c04c2a6e67c1d9711206fe935fc7929fb13a2629fe08a

Observation 860e3394-b99d-46b9-8aa1-96aa514168ca · outbound

This paper cites norm- flows: A pytorch package for normalizing flows.

Grade Inflation in Generative Models norm- flows: A pytorch package for normalizing flows

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.762915Z

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=2026-08-10T22:51:33.269615Z digest=sha256:8c27fed5f12701bd2f66bbfa232685e5f8e9e9f144d48bdd1ef4f91005e8b330

Observation 9b466d35-5ed1-4748-bc20-7b80ba64efa9 · outbound

This paper cites Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires.

Grade Inflation in Generative Models Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:51:33.527148Z

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=2026-08-10T22:51:33.272727Z digest=sha256:3f999b35776f417b3e6f8fe7a98e8cfe77acec1027ea4f83b8c0af3fe9367515

Observation 6a61638e-b0ee-4eb1-af14-736ec944d1d6 · outbound

This paper cites seaborn: statistical data visualization.

Grade Inflation in Generative Models seaborn: statistical data visualization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.752757Z

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=2026-08-10T22:51:33.276443Z digest=sha256:0bcbc103887c8fab2f375974b062464579c773c55286b7e96cdc34d29860135a

Observation 2e31175d-1d91-4bc0-9495-d846ee27f2ef · outbound

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:51:33.742876Z

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=2026-08-10T22:51:33.279863Z digest=sha256:0b7cb1629068cd3f45c4d03636945fd63da6bc631c8caab351ab3b6a3d86d77d

Observation 7788dfe1-ed7d-4ff5-b8a9-4719f29539fe · outbound

This paper cites Kullback and R.

Grade Inflation in Generative Models Kullback and R

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.732648Z

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=2026-08-10T22:51:33.283232Z digest=sha256:eb4cc8577c8a197ff512b43b3e059670fabe521c68cdf35b7c3687d230d01a29

Observation 4b3619a9-0b8c-445e-a9d3-242fe9ca1348 · outbound

This paper cites Fast and robust earth mover’s distances.

Grade Inflation in Generative Models Fast and robust earth mover’s distances

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.722314Z

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=2026-08-10T22:51:33.286643Z digest=sha256:ea4ac2c04619cc7d6d3c2f4ad8a525d5ca8b0e87f2c75308c81e474fe1e813b1

Observation e5cbb231-957a-4035-8946-7547a1301bd3 · outbound

This paper cites THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1.

Grade Inflation in Generative Models THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.711655Z

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=2026-08-10T22:51:33.289925Z digest=sha256:6b3a79d6bbc99d508e3479d68c82f57c2b587190b5cd14f4a60546e4ff23a9a8

Observation 21746f3a-f628-4ec1-9014-8ed3110c3a0a · outbound

This paper cites Markov processes over denumerable products of spaces, describing large systems of automata.

Grade Inflation in Generative Models Markov processes over denumerable products of spaces, describing large systems of automata

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.701228Z

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=2026-08-10T22:51:33.293307Z digest=sha256:c426f04a58591281df3e6e4cfd9ac509572c8cd52385ec2acad633d18d54f685

Observation 23d23298-4493-462a-9ce7-4bf8d220f15f · outbound

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:51:33.690658Z

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=2026-08-10T22:51:33.296989Z digest=sha256:7a4192c3ba3b70e854d29fa9c749488cd296a0320f11e1b3775d29871323fc62

Observation cf2b7ba9-1e27-43d2-9ee2-a9e20cc6de21 · outbound

This paper cites Rubner, C.

Grade Inflation in Generative Models Rubner, C

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.679668Z

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=2026-08-10T22:51:33.300384Z digest=sha256:ad27fc04ced112f0a153abb51aef4d032ee037306da8e278a274b7adb1d0e9b1

Observation fd2a6be9-1ed6-4c9c-85eb-3050be7fe84d · outbound

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:51:33.669273Z

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=2026-08-10T22:51:33.303632Z digest=sha256:82f5bfe9740e4cde00dc5701470488821f94e40db26c104cc4308fbe60b3638f

Observation 035da42f-57fb-4e2c-947a-69ce70c3794b · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Grade Inflation in Generative Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.306971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.306971Z digest=sha256:b2de8f33766f89e4318e60dc7a7cbd0bf1ab8d06259a69b819807cf05d7eccac

Observation 00795733-eee1-4f03-ab10-a8c7af902a51 · outbound

This paper cites Étude comparative de la distribution florale dans une portion des Alpes et du Jura.

Grade Inflation in Generative Models Étude comparative de la distribution florale dans une portion des Alpes et du Jura

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.658896Z

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=2026-08-10T22:51:33.310704Z digest=sha256:9eee959e8887b2ecba82fcb9ef650fbace671b7cbd17cf21cc3dc7da1d8bcc34

Observation 651b95a8-99f6-4bdc-b20b-3b3560a039c6 · outbound

This paper cites Entropy and Diversity: The Axiomatic Approach.

Grade Inflation in Generative Models Entropy and Diversity: The Axiomatic Approach

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.314130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.314130Z digest=sha256:7975e370eee4f539dce366295bc6d277abdbef4b02bcc3b5091c4c46f0f6eff7

Observation cb803b75-051b-4264-86a1-14a900ceb8b7 · outbound

This paper cites Six (and a half) intuitions for KL divergence.

Grade Inflation in Generative Models Six (and a half) intuitions for KL divergence

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.648337Z

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=2026-08-10T22:51:33.317747Z digest=sha256:a0c42f4e2ff161b63e2810941e02db9bf5b4286de3955078c4a427dfc795e482

Observation ba01c927-eede-4ba0-ba88-be686c08d46f · outbound

This paper cites Greene, Nicholas R.

Grade Inflation in Generative Models Greene, Nicholas R

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.638117Z

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=2026-08-10T22:51:33.321215Z digest=sha256:d4d8e15ac22c8484df83c45e9d1e73e18360cc6dfdef1253b7d58dfbd8847e2b

Observation 5d87f608-5754-4910-818c-51acf45fa369 · outbound

This paper cites Page Version ID: 1262760765.

Grade Inflation in Generative Models Page Version ID: 1262760765

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.626529Z

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=2026-08-10T22:51:33.324842Z digest=sha256:012a5f47229c27165e91e18bd4eab7810eee7fa371a89fc1bf804d67bc15c40d

Observation 5590209f-38a7-4ec2-b166-eee322aae5e5 · outbound

This paper cites Validation of Bayesian posterior distributions using a multidimensional Kolmogorov--Smirnov test.

Grade Inflation in Generative Models Validation of Bayesian posterior distributions using a multidimensional Kolmogorov--Smirnov test

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:51:33.492426Z

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=2026-08-10T22:51:33.328197Z digest=sha256:a3d1cfebeee1542151f09866c2591e58bdcef793c65c384688b64a7ef0230d9a

Observation b9860c2e-ed83-4e95-a8cb-6ce751985a4f · outbound

This paper cites Goodness of Fit.

Grade Inflation in Generative Models Goodness of Fit

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.615334Z

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=2026-08-10T22:51:33.331632Z digest=sha256:f0570b5864b349891dffcf6f1d14195faee8c3539f1ad132f8a609ca169e35f4

Observation 5c89b8a5-31f1-49b8-bf07-0a3747f47de1 · outbound

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:51:33.604249Z

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=2026-08-10T22:51:33.334779Z digest=sha256:f34f28e4b9976c647451f80ed283fb1b1a54da397d1317df3f1eef5ca7de7f8f

Observation 8ea8d58f-7160-452b-be1b-082df05ec68d · outbound

This paper cites Entropy and diversity.

Grade Inflation in Generative Models Entropy and diversity

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.592947Z

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=2026-08-10T22:51:33.338240Z digest=sha256:34a1a9c3ec7ea05d35d98117357fc07efd2284bfaa3af4e8b8bc7afc18cb4da0

Observation a66ce38d-d463-4e3b-8491-0a4a45012994 · outbound

This paper cites Berger and Frances L.

Grade Inflation in Generative Models Berger and Frances L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:51:33.581723Z

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=2026-08-10T22:51:33.341704Z digest=sha256:f80800a1cffaf11a7e9eac0c4c3c4d6a04a8aad8ca87b908a9f8639390c21763

Observation 115561bc-2d91-472f-9d4b-c34d38a1f5b6 · outbound

This paper cites R\'enyi Divergence Variational Inference.

Grade Inflation in Generative Models R\'enyi Divergence Variational Inference

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.345011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.345011Z digest=sha256:2012e7e7d0ebd41e7b580a4ba7f5bb2a08f28f856dd55a439f39a8d88ed52d71

Observation 1a38db77-f14d-4329-a2f3-d389c5ad64d5 · outbound

This paper cites How to partition diversity.

Grade Inflation in Generative Models How to partition diversity

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.348755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.348755Z digest=sha256:f18423b47346185f3645f92d78dc7313c46fd3d70430946969901286c70d0d16

Observation a95d3831-10a1-4604-96bc-23d645c7b329 · outbound

This paper cites greylock: A python package for measuring 11 the composition of complex datasets.

Grade Inflation in Generative Models greylock: A python package for measuring 11 the composition of complex datasets

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:33.352897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:33.352897Z digest=sha256:8909a7e5fbe8aa1ddac988a4d51a402b1c7ab1c89020af0a0b04429935572d45

Pith citing papers

No inbound Pith citation observations are available.