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Paper Citation Record · LEDGER

Time-dependent density estimation using binary classifiers

As of 17 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2506.15505.

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

pith.paper-citation-record.v1
2506.15505 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:42:16.822336Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

76 of 76 outbound references displayed

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  • verified fuzzy23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57a055f0-f048-479e-a91e-18691444dd56 · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 2

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 3

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This paper cites Soize, R.

Time-dependent density estimation using binary classifiers Soize, R

Reference 4

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Observation d0fe91e7-78d9-471d-ba4f-a1b59dd681ea · outbound

This paper cites Zhong, J.

Time-dependent density estimation using binary classifiers Zhong, J

Reference 5

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 6

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This paper cites Dasgupta, H.

Time-dependent density estimation using binary classifiers Dasgupta, H

Reference 7

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This paper cites Dasgupta, E.

Time-dependent density estimation using binary classifiers Dasgupta, E

Reference 8

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 9

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 10

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This paper cites Sugiyama, T.

Time-dependent density estimation using binary classifiers Sugiyama, T

Reference 11

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 12

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Observation b37af720-45c1-4b78-9638-1cedc5ed1e7e · outbound

This paper cites Ruttor, P.

Time-dependent density estimation using binary classifiers Ruttor, P

Reference 13

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This paper cites Gonz ´alez-Garc´ıa, R.

Time-dependent density estimation using binary classifiers Gonz ´alez-Garc´ıa, R

Reference 14

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Time-dependent density estimation using binary classifiers Unresolved cited work

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Time-dependent density estimation using binary classifiers Operator Fitting for Parameter Estimation of Stochastic Differential Equations

Reference 16

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Observation 2979bb4d-009a-4888-8e71-bd5863b612a6 · outbound

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 17

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Observation 4fa5c121-accb-4ee7-b498-5bbb40d6f2f7 · outbound

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 18

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This paper cites Wasserman, All of nonparametric statistics, Springer Science & Business Media, 2006.

Time-dependent density estimation using binary classifiers Wasserman, All of nonparametric statistics, Springer Science & Business Media, 2006

Reference 19

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Time-dependent density estimation using binary classifiers A Review of Change of Variable Formulas for Generative Modeling

Reference 20

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 21

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Time-dependent density estimation using binary classifiers Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations

Reference 22

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 23

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 24

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 25

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This paper cites Dasgupta, D.

Time-dependent density estimation using binary classifiers Dasgupta, D

Reference 26

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Time-dependent density estimation using binary classifiers Gutmann, A

Reference 27

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Time-dependent density estimation using binary classifiers Rhodes, K

Reference 28

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Time-dependent density estimation using binary classifiers Optimal Scheduling of Dynamic Transport

Reference 29

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Time-dependent density estimation using binary classifiers Flow Matching for Generative Modeling

Reference 30

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 31

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Time-dependent density estimation using binary classifiers FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 32

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Time-dependent density estimation using binary classifiers Onken, S

Reference 33

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Time-dependent density estimation using binary classifiers Dual Diffusion Implicit Bridges for Image-to-Image Translation

Reference 34

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Time-dependent density estimation using binary classifiers Building Normalizing Flows with Stochastic Interpolants

Reference 35

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Observation 639bf617-2ea9-402e-88f2-8bf57435c1e9 · outbound

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Time-dependent density estimation using binary classifiers Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 36

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Source-reported events for the cited work

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Observation cb383074-de0f-4ff1-8a8f-e710c80c598b · outbound

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Time-dependent density estimation using binary classifiers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 37

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Source-reported events for the cited work

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Observation 5db96e35-52d3-41f0-a85c-3b712acae98f · outbound

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Time-dependent density estimation using binary classifiers Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3b7f81d-d196-4c05-b0bf-f5e6802aa0ab · outbound

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Time-dependent density estimation using binary classifiers Pavon, G

Reference 39

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Observation 85f0d1f8-9661-4520-a89d-b54ac7043b83 · outbound

This paper cites De Bortoli, J.

Time-dependent density estimation using binary classifiers De Bortoli, J

Reference 40

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source=pdf_text observed=2026-08-15T19:42:16.698894Z digest=sha256:ec608745dee581e69a7b807035b046af3c2ab669b4c11b4201cc1c94e750168f

Observation f140b9aa-dbb1-42d5-95c4-483575bc8bc0 · outbound

This paper cites Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory.

Time-dependent density estimation using binary classifiers Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory

Reference 41

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source=pdf_text observed=2026-08-15T19:42:16.702058Z digest=sha256:63b44178a345e96a05c0d0c0fb5d8242b7bb85a303ff1295b4969d3858c7475c

Observation f88607af-28c0-4d99-8e71-df9c84b00c21 · outbound

This paper cites Plug-in estimation of Schr\"odinger bridges.

Time-dependent density estimation using binary classifiers Plug-in estimation of Schr\"odinger bridges

Reference 42

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source=pdf_text observed=2026-08-15T19:42:16.705301Z digest=sha256:23973d051fc5d8e80fd7fe5f46c77e07479991dac9a00bf648357c0aa6968a02

Observation 6787b0e3-edb0-4d60-ae24-668cd13bfcab · outbound

This paper cites Duvenaud, J.

Time-dependent density estimation using binary classifiers Duvenaud, J

Reference 43

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.708841Z digest=sha256:30f93e8c587c4fbdaae0244448e2d817c477bfa412406ebc36eb8da548ea9668

Observation 8f6e682f-d421-40f3-bf4d-772f19dd2722 · outbound

This paper cites Analysis and Comparison of Classification Metrics.

Time-dependent density estimation using binary classifiers Analysis and Comparison of Classification Metrics

Reference 44

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source=pdf_text observed=2026-08-15T19:42:16.712246Z digest=sha256:c40a5b9c86da0379f53d6664f66b6da99e7f6d4f5a7c0d5013fbc7686e564e72

Observation 965f3157-3860-4b75-9c8c-bbea72d31dc9 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Time-dependent density estimation using binary classifiers An overview of gradient descent optimization algorithms

Reference 45

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source=pdf_text observed=2026-08-15T19:42:16.715765Z digest=sha256:d54e4839caf0de68794dc36a15913f3dcefe1102431f97a9aa8faafdef0a2366

Observation b628c8c4-0c56-4e51-86ce-9074905fc813 · outbound

This paper cites Soize, R.

Time-dependent density estimation using binary classifiers Soize, R

Reference 46

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raw_fallback, observed 2026-08-15T19:42:17.280206Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.719534Z digest=sha256:4062074bcdd644d47724d8b970859411a84a2b5c89a582b61974f1b99ed7a09e

Observation a7e6a6b5-7925-417d-806e-5bb993714435 · outbound

This paper cites Kapusniak, P.

Time-dependent density estimation using binary classifiers Kapusniak, P

Reference 47

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raw_fallback, observed 2026-08-15T19:42:17.270726Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.722668Z digest=sha256:21cf4c7c8ca5e8b704fadf89505c5b829ab06e3a15d3924ce47d771f7aec8699

Observation e1f0d38d-f40e-4b3e-8651-8068f4aaca2f · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 48

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.725968Z digest=sha256:52c491e8e7fd3533c47689dcee087f9a5eed4866dce67db4666aaa8ab4d121fa

Observation 94e5013e-c761-47b8-afcd-231de2b2f88d · outbound

This paper cites Girolami, B.

Time-dependent density estimation using binary classifiers Girolami, B

Reference 49

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.729239Z digest=sha256:2070ecf3e117578cc717589469380739d7c06af003cc7e04e41b40b135c498be

Observation 31db82ab-14f0-44ff-b852-7b1e2fee51e2 · outbound

This paper cites Stable generative modeling using Schr\"odinger bridges.

Time-dependent density estimation using binary classifiers Stable generative modeling using Schr\"odinger bridges

Reference 50

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source=pdf_text observed=2026-08-15T19:42:16.732650Z digest=sha256:3290dcb354a136eb35ca43115e59c1f8206dab72f14ba50ad674ee6f3ef0c2ce

Observation 316d85af-b595-409b-9031-48657a204d5c · outbound

This paper cites Goodfellow, J.

Time-dependent density estimation using binary classifiers Goodfellow, J

Reference 51

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raw_fallback, observed 2026-08-15T19:42:17.240928Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.736777Z digest=sha256:604c9c63abde943dcfb97ba8637d82f0ef05354ef03f02a169a4ffa8192c083e

Observation 4c2cecaf-510f-41b3-9ff5-0e134aeb1305 · outbound

This paper cites Kobyzev, S.

Time-dependent density estimation using binary classifiers Kobyzev, S

Reference 52

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source=pdf_text observed=2026-08-15T19:42:16.740167Z digest=sha256:274d0d7dae0d8420ebe4416946c2de60ad6a659c2665fd1e720ee4458f449089

Observation 63fb6207-2e5b-46b9-a99f-36a40f65d45e · outbound

This paper cites Flow Matching Guide and Code.

Time-dependent density estimation using binary classifiers Flow Matching Guide and Code

Reference 53

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source=pdf_text observed=2026-08-15T19:42:16.743987Z digest=sha256:1e5c022aeae18aed74b1396ee66937ee11bf0d78691e3016c1ac88fd2ffb6da1

Observation bc49c857-6c71-46e5-8383-22e1918f69dd · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Time-dependent density estimation using binary classifiers Score-Based Generative Modeling through Stochastic Differential Equations

Reference 54

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source=pdf_text observed=2026-08-15T19:42:16.747642Z digest=sha256:5ae6f7afec94e7313df4a8a7114d4eb3634b1ac15cd95d5f5f821919efd0bf62

Observation f1426e42-7dfb-4e0a-8bfc-c3a1241da9c3 · outbound

This paper cites Unifying and extending Diffusion Models through PDEs for solving Inverse Problems.

Time-dependent density estimation using binary classifiers Unifying and extending Diffusion Models through PDEs for solving Inverse Problems

Reference 55

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source=pdf_text observed=2026-08-15T19:42:16.751057Z digest=sha256:ad714a16856aee9dbd270ec9d6739223463f24119ca3a2d3bbc33b984cd73bf2

Observation 2058c489-10d9-412d-a8e5-ea1f615ac0f9 · outbound

This paper cites How to Train Your Energy-Based Models.

Time-dependent density estimation using binary classifiers How to Train Your Energy-Based Models

Reference 56

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source=pdf_text observed=2026-08-15T19:42:16.754389Z digest=sha256:cdd1f5e3da2fb29f9ed3cd77c3cc79ff876402ddaeff8668de3a7d1227d27930

Observation 6eda2b30-7493-455f-903e-780c9cdc8cf5 · outbound

This paper cites Improved Contrastive Divergence Training of Energy Based Models.

Time-dependent density estimation using binary classifiers Improved Contrastive Divergence Training of Energy Based Models

Reference 57

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source=pdf_text observed=2026-08-15T19:42:16.757750Z digest=sha256:b45c18bfbacc5e60d141d1cb237e2e64d89e071eec330ffebef71619f4e798d2

Observation 0717cfdc-14d9-4df1-8048-9ca1585f3662 · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 58

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.761020Z digest=sha256:e859e5dbc1f3ade2b6fbed0f85c4ccac7827c947501a34d8ead171f258c22317

Observation b534d897-0db6-4a8d-a09a-d2014dcf9484 · outbound

This paper cites Tabandeh, N.

Time-dependent density estimation using binary classifiers Tabandeh, N

Reference 59

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raw_fallback, observed 2026-08-15T19:42:17.215390Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.764383Z digest=sha256:6168c6d8a04645aad99f90969738ad6ebba8317e7da81a661bfa1d4ef76735a8

Observation 2b969618-bf1f-4d46-8c89-6ae6590e3444 · outbound

This paper cites Ueda, Randomly transitional phenomena in the system governed by duffing’s equation, Journal of Statistical Physics 20 (1979) 181–196.

Time-dependent density estimation using binary classifiers Ueda, Randomly transitional phenomena in the system governed by duffing’s equation, Journal of Statistical Physics 20 (1979) 181–196

Reference 60

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source=pdf_text observed=2026-08-15T19:42:16.767651Z digest=sha256:90be1d92533cd7ecd6b1d97deb75b435a037cca1e55f68442d775eeb772bdbea

Observation 7ffcdb50-ec87-473f-ad37-f58bcad84d93 · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 61

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.770938Z digest=sha256:aef986c56308e8f309082ab07862ea160ace88ae9ab26d8b632001f9786bce9d

Observation 0d3f42a6-73a0-4140-9133-c5227fbad05e · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-15T19:42:16.774251Z digest=sha256:18a504fc6cdfb4b09d63424c733dec89b09606f28b4dba4d766bac58a5a03243

Observation a0ec1365-6edc-4acb-b8db-7b30696ec92d · outbound

This paper cites Ismail, F.

Time-dependent density estimation using binary classifiers Ismail, F

Reference 63

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raw_fallback, observed 2026-08-15T19:42:17.178951Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.777543Z digest=sha256:41d7c0c789f6d48f796e8531ab84193ab90715186c8daa299e28014e369b0488

Observation 813ca3c7-8d24-49c1-8b1a-c528585c3e93 · outbound

This paper cites Wen, Method for random vibration of hysteretic systems, Journal of the engineering mechanics division 36 102 (1976) 249–263.

Time-dependent density estimation using binary classifiers Wen, Method for random vibration of hysteretic systems, Journal of the engineering mechanics division 36 102 (1976) 249–263

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:42:16.780652Z digest=sha256:8beb59131d6f8be642a11e2b5de1c43f99eda376c8b8e008e242e20c913617d0

Observation 638f9446-5428-4fe9-bc68-9523416e9c8b · outbound

This paper cites Wen, Equivalent linearization for hysteretic systems under random excitation (1980).

Time-dependent density estimation using binary classifiers Wen, Equivalent linearization for hysteretic systems under random excitation (1980)

Reference 65

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.784019Z digest=sha256:b2c87a27400ddece880bac1d54739e992168ace02c0bcc449644a6ad4d28511b

Observation efb21eae-04a0-49c1-aeb5-4e116edfdb54 · outbound

This paper cites Cuturi, Sinkhorn distances: Lightspeed computation of optimal transport, Advances in neural information processing systems 26 (2013).

Time-dependent density estimation using binary classifiers Cuturi, Sinkhorn distances: Lightspeed computation of optimal transport, Advances in neural information processing systems 26 (2013)

Reference 66

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source=pdf_text observed=2026-08-15T19:42:16.787365Z digest=sha256:d5080114a94f629b3e57f47b543f9abe629cc7c52371bcd16ba2c18ac080d31a

Observation 1b3ae060-6163-4a40-9963-1666e668018d · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 67

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.790865Z digest=sha256:dd197a937af3c214b051294b5d61db29d2dc6ccc3308d9844331ef7aa92b16bc

Observation 8613a116-a996-467d-b661-b662884066ca · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 68

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.794457Z digest=sha256:8d2ea14d9746728b6fc2449f6992db114c9042e1f7e04c6e1d32bb0283a6674d

Observation 931c96fe-dff3-41bd-8223-636eccc9dc4e · outbound

This paper cites an unresolved cited work.

Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 69

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.798011Z digest=sha256:127e5c0ec4d42a32166fa33b93ae126d4979874a64b30d025b749d0448e4eb58

Observation cc1df16c-7ff6-48a5-b22b-b31e0184f405 · outbound

This paper cites Krizhevsky, G.

Time-dependent density estimation using binary classifiers Krizhevsky, G

Reference 70

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raw_fallback, observed 2026-08-15T19:42:17.110283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.801198Z digest=sha256:8e8d2930f5a7e76c0782a73b55a9539b0a30c80f9cd1323d3aa4b5341b6330f2

Observation 63fad016-9e68-4991-92be-9e670b82b590 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Time-dependent density estimation using binary classifiers Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 71

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:42:16.804513Z digest=sha256:5313769c32e00887c605f51c65dd726e9fe630f49006e3f2fd1fb74a93349a2b

Observation 5fd02a76-1e5b-4ab8-8bb7-b65f1f8bd50e · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Time-dependent density estimation using binary classifiers MNIST-C: A Robustness Benchmark for Computer Vision

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.807896Z digest=sha256:a3550d01c603ee20faea29e8793aecd7c182dcb89a94d5208d3bda8d6728436d

Observation bdeef4f2-65ed-43cd-90c1-96b0ab59fa85 · outbound

This paper cites ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models.

Time-dependent density estimation using binary classifiers ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

Reference 73

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local_arxiv, observed 2026-08-15T19:42:16.866553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T19:42:16.811510Z digest=sha256:08cadbea0478034cf35befe3cf25e02406fb222a800fe242f32298cec54692bb

Observation 579e9d72-d26d-46b5-ac1f-d2acf0489646 · outbound

This paper cites Tancik, P.

Time-dependent density estimation using binary classifiers Tancik, P

Reference 74

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.815154Z digest=sha256:42fcd8289f1fd599cf049708f796d43d6437b197aac8d989b7300812dd8e11cb

Observation 4b91ca08-3e26-4051-96db-d87b15b7a057 · outbound

This paper cites Memorization and Regularization in Generative Diffusion Models.

Time-dependent density estimation using binary classifiers Memorization and Regularization in Generative Diffusion Models

Reference 75

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.818861Z digest=sha256:09c426fe8e47d2fcf71ea6dc592e7c89e004819d559c9948a5b5583570fe1558

Observation 2adf4c63-52b1-4dd9-9dce-2ddcc16fc226 · outbound

This paper cites Virtanen, R.

Time-dependent density estimation using binary classifiers Virtanen, R

Reference 76

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source=pdf_text observed=2026-08-15T19:42:16.822336Z digest=sha256:0d147ddbe5c85e341c53ffbef65f97cf9ef74e030e7f304145de39c4472bf554

Pith citing papers

No inbound Pith citation observations are available.