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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.203038Z digest=sha256:3a77b7761225ff66f74af6dc60b2ae65a8cfa3d589ecb17c7808927b8a0b9d1b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.218909Z digest=sha256:9f073c28cc4642d3bc2570855c4961242b036d7120ccf4fc759c5afb4b34b423

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

This paper cites Sengupta, Sanjiv J.

Grade Inflation in Generative Models Sengupta, Sanjiv J

Reference 7

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.223138Z digest=sha256:193be2ccd6779ba0ec5bd1d409324cdba26f5940c2798a987909c5b1f8f8ba04

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.230191Z digest=sha256:3a87ea65cbfdf6123f2dc0e1f3a55d30dc64b1116b3977d9273aeef9394765ec

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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.237418Z digest=sha256:18e0ac0658ff0bbc619d628a7abc05ce6f523886c33815e5e3feb1840638d330

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.240886Z digest=sha256:bc996c08a267b5666ff526008a66cd1cf42284eac6521ecf5eb25b3c6868872c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.244112Z digest=sha256:dab1768ba22ce26f7d6598f4af997958e3d098e83e18fd4c9722b400a4eec75c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.247620Z digest=sha256:88097add21c70b0a70471367e78e9c9cb20acf6725f83ede8b604b507fa76e43

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

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.255007Z digest=sha256:6e162ed2c46dd575b77630c5ce26502d720a2a815b6be1678585495cbdea4d63

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
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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.265849Z digest=sha256:f17f58dfd37b63fe347f465b336959bf22db1c5d6a009b2dfe936616618919e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.269615Z digest=sha256:b804837dd8d93a62f8e3ee1d9af8e493a1fe174d3edd2f7bd6804b9ed8732683

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.272727Z digest=sha256:dd4e376ece7205d19a6bdba9c4cd2a5743cc9afa5230e1ee5ca7f5a475cf708d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.276443Z digest=sha256:21ecb14e5859cbc0839395455d7987a1ff3d69b353edf1d19b2dd85cc806c7b6

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

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 23

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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 2026-08-14T06:32:32.682623+00:00.

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

This paper cites Kullback and R.

Grade Inflation in Generative Models Kullback and R

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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
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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 2026-08-14T06:32:32.682623+00:00.

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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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.293307Z digest=sha256:2ecb653d02880f8e0aae9be76b62b147cdcd17513ce97035415b3e2067a6ae4b

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

This paper cites an unresolved cited work.

Grade Inflation in Generative Models Unresolved cited work

Reference 28

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.296989Z digest=sha256:fe3c7fe28fc09be77934967eb0a881c96b70b153ee9dfa071cde7b727ce7932f

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

This paper cites Rubner, C.

Grade Inflation in Generative Models Rubner, C

Reference 29

Resolution
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.300384Z digest=sha256:e842b0de704ee4bdc9a34b98495ae07cb5e66b11163099fdc61ab91c94957ba2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.303632Z digest=sha256:4b1f282915dfd793f1990836c15fc3c3a8f344e6311b5c09d8cab7d13c926616

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.310704Z digest=sha256:a55c876ad289d53f4bc6e7fcb3affef1b652f30134a9c7c973528226c34955d3

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.317747Z digest=sha256:461d4721ab32758a7c86e5f1f239193a479d705ad33708c11fb1d2918de1aa17

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.321215Z digest=sha256:0663cac48096dcde2a838345b2eeaac13db44ea1283b0cd8db3e5591710a72de

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.334779Z digest=sha256:74cf72fc88c35c148a989b576e7a972b813b7e7f1cf1b7b2737cb3e070be4589

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.338240Z digest=sha256:765b98cf8adaa22d722ed6bcdeef0a5ec64e079c1085e926034aa9488f9331cf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:51:33.341704Z digest=sha256:e4b4cf9a96f776ae11c834e477d1aef336eb37c4f30e0672fe5749633fffc820

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.