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Paper Citation Record · LEDGER

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets

As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2507.00298.

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

pith.paper-citation-record.v1
2507.00298 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:51.829631Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fc8a268-c6a8-4dd9-986f-2677662c0c20 · outbound

This paper cites , Durrer , R.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Durrer , R

Reference 1

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Observation 2db42a41-37df-42a8-8afa-9a6e61c617a5 · outbound

This paper cites DeepHyper: A Python Package for Scalable Neural Architecture and Hyperparameter Search.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets DeepHyper: A Python Package for Scalable Neural Architecture and Hyperparameter Search

Reference 2

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Observation afbd2abe-66b9-4dea-96a2-6ebbd66e3989 · outbound

This paper cites , Freeman , K.C.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Freeman , K.C

Reference 3

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Observation 7df83b21-facb-4b25-af46-50ac4343349f · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Understanding disentangling in $\beta$-VAE

Reference 4

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Source-reported events for the cited work

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Observation 9f06b530-c468-40f5-9632-622a94a8cbeb · outbound

This paper cites , Kucukelbir , A.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Kucukelbir , A

Reference 5

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Observation 6620ab74-cc79-4b06-b9c5-cbd5eed81bb3 · outbound

This paper cites , Thorpe , A.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Thorpe , A

Reference 6

Resolution
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Observation 8306828a-361f-4f4d-8e66-e4f1f3ae6d51 · outbound

This paper cites , Tomioka , R.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Tomioka , R

Reference 7

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Observation 554d89bd-2487-4fc7-8dbe-13fcb37a12c2 · outbound

This paper cites , : The lsst desc dc2 simulated sky survey.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , : The lsst desc dc2 simulated sky survey

Reference 8

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Observation e9c0322c-a12c-4412-9fa3-419907b4f998 · outbound

This paper cites , Batmanghelich , K.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Batmanghelich , K

Reference 9

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Observation 4b7bfc09-3a38-46b2-8165-4edf9e1f0e08 · outbound

This paper cites Discovering Hidden Factors of Variation in Deep Networks.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Discovering Hidden Factors of Variation in Deep Networks

Reference 10

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Observation 70fbee73-7eea-4fe8-9e1b-657a018bd679 · outbound

This paper cites , Li , X.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Li , X

Reference 11

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Observation e0eaf1ee-28a8-4677-9fd4-58f87c6df505 · outbound

This paper cites , Phillips , A.S.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Phillips , A.S

Reference 12

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This paper cites , Hastie , T.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Hastie , T

Reference 13

Resolution
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Observation ccdbde4a-1252-4fe3-b8eb-505302e6a833 · outbound

This paper cites , Yanny , B.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Yanny , B

Reference 14

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Observation 35603fae-45c0-46b5-928b-ce488113f891 · outbound

This paper cites , Ramachandra , N.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Ramachandra , N

Reference 15

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Observation d85dc43a-d3c7-4e12-86dd-316bb54badb3 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Explaining and Harnessing Adversarial Examples

Reference 16

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Observation 5e6449ad-5484-4900-ba84-3bd630f29204 · outbound

This paper cites Quantification of Unknown Unknowns in Astronomy and Physics.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Quantification of Unknown Unknowns in Astronomy and Physics

Reference 17

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Observation c43ded19-8ec8-40e5-8cbd-5767d5bed74e · outbound

This paper cites , Matthey , L.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Matthey , L

Reference 18

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Observation a7a59677-701a-4454-ac25-bf657c68e81b · outbound

This paper cites Group-based Learning of Disentangled Representations with Generalizability for Novel Contents.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Group-based Learning of Disentangled Representations with Generalizability for Novel Contents

Reference 19

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Observation 93587f43-553a-417a-b15b-c6fc01e8ae02 · outbound

This paper cites , Hearin , A.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Hearin , A

Reference 20

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This paper cites , Kingma , D.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Kingma , D

Reference 21

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This paper cites , Lange , C.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Lange , C

Reference 22

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This paper cites , Liu , Y.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Liu , Y

Reference 23

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Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Mnih , A

Reference 24

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This paper cites , Mohamed , S.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Mohamed , S

Reference 25

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This paper cites , Poole , B.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Poole , B

Reference 26

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This paper cites , Sattigeri , P.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Sattigeri , P

Reference 27

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This paper cites , Welling , M.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Welling , M

Reference 28

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Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Welling , M

Reference 29

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Source-reported events for the cited work

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Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Abbati , G

Reference 30

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This paper cites , Bauer , S.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Bauer , S

Reference 31

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Source-reported events for the cited work

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This paper cites , Gunn , J.E.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Gunn , J.E

Reference 32

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Source-reported events for the cited work

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Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets a tsch , G. , Sch \

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 03b3b914-4978-4b24-a32e-4fafcc46c422 · outbound

This paper cites , Ullman , T.D.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Ullman , T.D

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.750331Z digest=sha256:baa183464f8391f5dc6f47fc905073774b238fe0f37b13b2b20d3bd02358aa30

Observation 03d1b57d-b360-48e6-a75c-333e06a5d70d · outbound

This paper cites , Castellano , M.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Castellano , M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.248911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.753809Z digest=sha256:d8ab6b12ecfcb61f8c81837bafeebb95c1ad055558f82ecd764fe3f2697160ba

Observation d6b8d056-622c-495e-b457-a2a94c9a8696 · outbound

This paper cites , Ekhtiari , N.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Ekhtiari , N

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.756710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.756710Z digest=sha256:09ffa1605573fac55bfeb6dc3c8fb8ad5518ebb665e8a31dbeebc4e600eaf098

Observation 37a91579-f9bf-4e2d-b529-3992e1e515ee · outbound

This paper cites , Filippone , M.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Filippone , M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.239927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.760182Z digest=sha256:f69ee55f6136ea67b2dbf9f736c641a27593ed0e1332a5fdd6749ed6082c9d25

Observation 85ee6b4c-a77a-4b9f-8530-2256e17a02ab · outbound

This paper cites Probabilistic neural networks for fluid flow surrogate modeling and data recovery.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Probabilistic neural networks for fluid flow surrogate modeling and data recovery

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:27:52.008223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.763394Z digest=sha256:f97342fe972a96bbacc4fd43aad9b906aee7fdf1eb424ce306013d1539d9b811

Observation 4507f3ca-2241-4cc1-a43a-c09e3c07193c · outbound

This paper cites , Rainforth , T.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Rainforth , T

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.230587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.766651Z digest=sha256:8c84ca947905a3285d19171f2cafee2086250c4540bc88337fca2ecf564d3e49

Observation a3f64621-e4ef-456f-aeb5-5a33c90ae3f4 · outbound

This paper cites , Zhao , J.J.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Zhao , J.J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.221444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.769711Z digest=sha256:db24a443c40dae010d009d25d49ab13d62bee3432c4717f170a9cdea547f8e5e

Observation 346c8da1-2476-4edc-b0af-e527125b1cbd · outbound

This paper cites , Gruen , D.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Gruen , D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.212430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.772755Z digest=sha256:2faf9b35eb22c79c8a19d0387af39f61a3512e22955da60a5c8da0810c22a7b7

Observation 8c126d8d-68e0-4781-8179-f6644a88b049 · outbound

This paper cites , Gross , S.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Gross , S

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.775592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.775592Z digest=sha256:23358babdc95b9fc0e492501f22eb094e26ab0153216a41ea2b566bd2fd074a6

Observation 70f3e873-d6f1-4d60-9bfd-decbf17b6d9a · outbound

This paper cites , Van De Meent , J.-W.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Van De Meent , J.-W

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.197579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.778699Z digest=sha256:3c3a8e864cfd50bb6b4db84ebffde7f952de4c939581ad3462a13162767335ab

Observation 552ed6e1-27ac-465c-8d4d-7365919595df · outbound

This paper cites , Gupta , H.V.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Gupta , H.V

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.188885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.781531Z digest=sha256:7a3a2b3887aab4c1d6faff568725fb28970d9640e30ff71bd07936834a5aa78b

Observation 00e51475-a998-4836-be23-20b9195679b3 · outbound

This paper cites GalSim: The modular galaxy image simulation toolkit.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets GalSim: The modular galaxy image simulation toolkit

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.785198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.785198Z digest=sha256:6b5f9921915d21f53d69845c83770492c95b68f7806a5e506dc6c9e396199573

Observation 36c7100a-00be-4d0c-9578-ced3c81f5a88 · outbound

This paper cites , Pantula , S.G.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Pantula , S.G

Reference 46

Resolution
verified exact
doi, observed 2026-08-06T21:27:51.872976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.788961Z digest=sha256:42edc70a5768ff98591f37f56a5b820b7b73b54b8a5752329261c3714e220ab4

Observation 176af0b8-ec12-4e73-85f3-434fe2498f77 · outbound

This paper cites , Funk , C.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Funk , C

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.179535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.791849Z digest=sha256:40f2e88b0becddf6800ea0b76d9b86cfcd69ef9ebc3249f126cab92ed6423162

Observation 601a1fe0-78a5-4d9a-a7cd-ebadb601f28a · outbound

This paper cites , Zhang , Y.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Zhang , Y

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.168927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.794739Z digest=sha256:f00961cff8e22ae3a9d69fd609292d71064196b74b1e49facfd4d4f7d9de674f

Observation eb2c2748-f4d4-4dc3-9c6c-5c45b9543812 · outbound

This paper cites , Aussel , H.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Aussel , H

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.159272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.797647Z digest=sha256:501633cc046f3a29efce2e8b9092c8e6e007bd20023de7b44b39706cd4ff38a5

Observation 0839eb8f-c255-45af-956f-9d3f64129425 · outbound

This paper cites Weakly Supervised Disentanglement with Guarantees.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets Weakly Supervised Disentanglement with Guarantees

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.801101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.801101Z digest=sha256:9a28cf5ddcef2834dc2dfe2e7072440a623cac9b3cf269d83769183984039d7d

Observation 2579363a-1231-40f7-91e8-e6a0133d01b1 · outbound

This paper cites , Dav \'e , R.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Dav \'e , R

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.150059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.804273Z digest=sha256:4945bd98e4cb955cfc59a1f9459104b253dfbb3d5b36e57de1d508aad372a5d0

Observation a128fa14-87c8-4d63-be64-61fedca4242e · outbound

This paper cites , Hinton , G.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Hinton , G

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.141104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.807229Z digest=sha256:66d4d7ab5e5478337ad26a65d5c588596e8e121df93d3ae3290a50fe21c0926f

Observation fc38f2f2-acdb-42bd-a874-689bf2397fda · outbound

This paper cites , Schönberger , J.L.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Schönberger , J.L

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.810024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.810024Z digest=sha256:d78d2f2c0954b8e7e52edc5ff8b13603e1b711dd796904f9d9db44ebad2f2016

Observation 65081a93-8953-4a7b-9763-5ff76e11c836 · outbound

This paper cites , Balaprakash , P.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Balaprakash , P

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.813237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.813237Z digest=sha256:b1df72695bd796448769563fa72c80da02839367f4f260a37fd46011c851b4ba

Observation 1b38dd96-a184-485e-9e40-00c146df03ad · outbound

This paper cites , Bovik , A.C.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Bovik , A.C

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.816726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.816726Z digest=sha256:c9d726633e0c85110286d38e11d35ac75f8693d1958ba156d19126f6ccf958c6

Observation 8ab6451b-449b-4865-b2da-c4435df54789 · outbound

This paper cites , Chen , H.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Chen , H

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:27:52.131755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T21:27:51.819966Z digest=sha256:c0f6396af925fa5d2fcb1003f015044f4ce7bbaa7929ba0c2b7686c20b57da4d

Observation 6fc11641-10ac-4a2b-9861-57957fda87ca · outbound

This paper cites , Guo , T.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets , Guo , T

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T21:27:51.822928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.822928Z digest=sha256:d9236a376d824fc81f4f436ae352ceba03af89869bdd026428f67a6dfc301a4f

Observation ef176686-e228-45cb-81dd-d6ebfb941ed4 · outbound

This paper cites write newline.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets write newline

Reference 58

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:27:51.825979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.825979Z digest=sha256:7e94c283b7be9da66ffb0e57ceecb79a6921ac7cc05828dba17f5027a5c40755

Observation 1613afc4-101f-4a4c-be3a-dcb52d2e5722 · outbound

This paper cites write newline.

Enhancing Interpretability in Generative Modeling: Statistically Disentangled Latent Spaces Guided by Generative Factors in Scientific Datasets write newline

Reference 59

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:27:51.829631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:27:51.829631Z digest=sha256:67ad726b7adebc9b683417a9c503dc06273215f13be72c8b464553d51f5bfaac

Pith citing papers

No inbound Pith citation observations are available.