Paper Citation Record · LEDGER

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction

As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.19212.

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

pith.paper-citation-record.v1
2412.19212 v1

Coverage vector

measured 50 of 50 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction , " * write output.state after.block = add.period write newline

Reference 1

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction write newline

Reference 2

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This paper cites an unresolved cited work.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 3

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This paper cites an unresolved cited work.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 4

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Reference 5

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Reference 6

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 7

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 8

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 9

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 10

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 11

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This paper cites R.; Falorsi, L.; De Cao, N.; Kipf, T.; and Tomczak, J.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction R.; Falorsi, L.; De Cao, N.; Kipf, T.; and Tomczak, J

Reference 12

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Reference 13

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 14

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 15

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 16

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 17

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Observation 734f64db-8fc8-4e9a-a204-b67fec3c724e · outbound

This paper cites Normalizing Flows on Riemannian Manifolds.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Normalizing Flows on Riemannian Manifolds

Reference 18

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 21

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 22

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This paper cites R.; and Sengupta, A.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction R.; and Sengupta, A

Reference 23

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 24

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Observation 692e1b28-bfae-4f64-aeea-ccac051bac7c · outbound

This paper cites E.; Martin, C.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction E.; Martin, C

Reference 25

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 27

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 30

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

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Reference 41

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This paper cites J.; Papamakarios, G.; Racaniere, S.; Albergo, M.; Kanwar, G.; Shanahan, P.; and Cranmer, K.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction J.; Papamakarios, G.; Racaniere, S.; Albergo, M.; Kanwar, G.; Shanahan, P.; and Cranmer, K

Reference 42

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction The Vertical Slice Transform in Spherical Tomography

Reference 43

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction D.; and Kolouri, S

Reference 44

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Reference 45

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 46

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 47

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Observation f7d26927-03cd-4e17-b4a9-b6d77c7d1f8d · outbound

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Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 423d3c0c-1787-443e-b494-f0d9dfca1506 · outbound

This paper cites an unresolved cited work.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4632628a-9cfa-4c4e-892e-100335b3ce7f · outbound

This paper cites an unresolved cited work.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction Unresolved cited work

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.