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Paper Citation Record · LEDGER

Time-dependent density estimation using binary classifiers

As of 22 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.

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measured 76 of 76 standing notices

One-hop event checks from named stored sources.

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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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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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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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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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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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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 17

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Time-dependent density estimation using binary classifiers Unresolved cited work

Reference 18

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Observation eaaf38c2-4165-4488-8457-0111d107b730 · outbound

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

Reference 36

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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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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

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

This paper cites Pavon, G.

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=sha256:49fdd7bc7474d3bb9606e980921898f0df61543716c845e926ef85296b513f44

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:acd43fdf883423c3acc35ecad15d904d1d4d4faa1dc13cff25f749d1742640f2

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:b883949d11687acc40ae85ddb9ee128d40d92ee2c6ca774d146ab63557f5ff2b

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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source=pdf_text observed=2026-08-15T19:42:16.708841Z digest=sha256:cc4e43c2c95dbef986015c52f642c17c6d1f2c6dde5eed1c46e10fe556db1442

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:a0b0f26bb30824970ae52c30f046b5ada6c5117f391a5d823ee7800ce9a33684

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:fadca841cb773ae40730b4f85ecf11aac0468dcf9d19427d1566cfff33e2d0d4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.719534Z digest=sha256:cda60d4512bec69eacbfd60dfe7ab1e383489719b19f084ec6ce346767f9e983

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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source=pdf_text observed=2026-08-15T19:42:16.722668Z digest=sha256:c7f62e665bc1fca71229b60f88f41d8851920df9a1f43321c0d8e4781cbd890e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.725968Z digest=sha256:bd08433037e22d24d486bc04cd82f28773ca3cae467fa5e7017b61c297e27ef6

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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raw_fallback, observed 2026-08-15T19:42:17.251438Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.729239Z digest=sha256:e135960cd14bb130d7e6ad5bed2556d484fe573a9e5ef5a2df0cd93824ce7d0e

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=sha256:4c28da38863fba9f2efa804c3af1fa4cfba70a96c426b8cd9ef261176ebf55b2

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.736777Z digest=sha256:b5605a4a914be4d778c5f0f4cd1c81e2c8b04651ed7501bcea4c1970d96f3835

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=sha256:609d5c66e703679042cf747326b7bd24f54e2f0c5dba6173ba882dc7e6406737

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=sha256:5a29d6093924adaa5ea23d2e33d3a3733e77e33ccf34a3907676734597582137

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=sha256:2bb73c1614fb1b6f891cad1ef6bf5ff65e45d779c13800c30d4b1f49fd01f640

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:b8bea81023c2a0709dbd23ab3cc247627a5d72942b8adf2569e786a8e14f8e65

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:e8a89e5d2688a46b4768d7cf3730c1bcb5b792819a3cf15d50c87bda1ae0df84

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:adbc1b44424034b819a8d6f1ff90c73a2c81639d8e7f4e6610df973e9d4665d5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.761020Z digest=sha256:c7ac2c822f3460e6c6cfe4a7fb2341a22824c8e1732de570d7ef22e8d4d7cc7a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.764383Z digest=sha256:da8bab6003bc1f48b8765d09eb34644ffbeb65a280e6c0fe4854be758bb8642a

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=sha256:9c245cdf11170c8de234c8be3d31b973c3a06b927a54a06585499d169acb8b1f

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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source=pdf_text observed=2026-08-15T19:42:16.770938Z digest=sha256:5f253396275d150594540a1c969e6ff3f259a0a1c2346ca420d05115860ff7ea

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=sha256:327fea953cbbbee9da01bd08d4ebf5d3f2ad1ed766f44066dc5f4fab87779bd3

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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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.777543Z digest=sha256:b420d1ffd65b743b32be5c904c69a5055f75289978d48acceeba942e04f976a9

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

Reference 64

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.780652Z digest=sha256:def718ebd2ca2081f09858dc43b2014c8443f350551ed7cf62ce13d7c6fb2571

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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raw_fallback, observed 2026-08-15T19:42:17.157928Z

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source=pdf_text observed=2026-08-15T19:42:16.784019Z digest=sha256:2e7b7b08b17d35634b3264131a3728509f45c5d95d0724fb515b4e638a59aa96

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=sha256:5e7bd0bd4f44d2406f204b56540874e9d9e429f4328889844e9d690b6c71ae78

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.790865Z digest=sha256:5e41e33fd2e8f6bffc10f24602dcd21f8ab8ec4ae83dcfbaf62064bd3b4f0244

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.794457Z digest=sha256:9a0fc5ed1fabb03bfa038a1660b97a5b4e2cee5c4b04b50d67f3db5d32acb836

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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source=pdf_text observed=2026-08-15T19:42:16.798011Z digest=sha256:f9279425fef2ff1b7ffa814f5b81e0e1f184aaf891d8971e9682e84c63023da7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.801198Z digest=sha256:23ee1b53a460a220224817fc34e1ca80e0100b0b128260253166dc5c939fef7f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.804513Z digest=sha256:e561827a707401a0d069f7f84d98513e8c657e449f151621e595b2aea02b2e46

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:42:16.807896Z digest=sha256:2c751077c31c6f6c1f7d0490b71167cd776d95d96177cf8397227449d89e5718

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:42:16.811510Z digest=sha256:70b18698e3f18f10713162e968759a73c3f04f813078b0be7924231b0f6b3b0d

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:a003aa578350bf75deed6b6936c765069289b61588776f347e687b28a08e0b66

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:c5d109499fdcd05156ce14b2a92f759e323a6c6671a747a38301b930689820e4

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=sha256:20245ec1b5c16879a8131aca93d36dc8400fd4e4bde083a55174a4342b4923d4

Pith citing papers

No inbound Pith citation observations are available.