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Paper Citation Record · LEDGER

Boosting Classification with Quantum-Inspired Augmentations

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.22241.

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

pith.paper-citation-record.v1
2506.22241 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:12:03.260846Z

measured 57 of 57 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

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 1e5ed3b8-6f78-4c4e-842f-960730ad7b64 · outbound

This paper cites E., Loey, M.

Boosting Classification with Quantum-Inspired Augmentations E., Loey, M

Reference 1

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Observation 5c0a00c9-e02e-4631-9fd5-a4195f9d3e6e · outbound

This paper cites & Özuysal, M.

Boosting Classification with Quantum-Inspired Augmentations & Özuysal, M

Reference 2

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Observation a4725ede-043d-4465-b02d-c1d322685b20 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 3

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Observation 2345cb64-eab0-4c38-a632-0b1fed37f0a7 · outbound

This paper cites & Khoshgoftaar, T.

Boosting Classification with Quantum-Inspired Augmentations & Khoshgoftaar, T

Reference 4

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Observation 97c34814-e20a-4dcc-85b8-dd88b0777fce · outbound

This paper cites & Park, D.

Boosting Classification with Quantum-Inspired Augmentations & Park, D

Reference 5

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Observation 33d8ef54-c5e8-4974-90a6-19c9c46a9f3e · outbound

This paper cites & Grochowski, M.

Boosting Classification with Quantum-Inspired Augmentations & Grochowski, M

Reference 6

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Observation a302a414-6520-429e-9267-f91f98ccc481 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 7

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Observation 43eee31f-1690-4980-b7ea-fd370ef615d3 · outbound

This paper cites & Ferrie, C.

Boosting Classification with Quantum-Inspired Augmentations & Ferrie, C

Reference 8

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Observation e6d6d01c-86d6-4c85-a969-930eec0aae08 · outbound

This paper cites & Manoj, B.

Boosting Classification with Quantum-Inspired Augmentations & Manoj, B

Reference 9

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Observation 5f519a29-6fdf-4dc2-b367-dac1e41bf605 · outbound

This paper cites & Feld, S.

Boosting Classification with Quantum-Inspired Augmentations & Feld, S

Reference 10

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Observation a3338ebe-74dc-40a3-b9ce-15b12c1464ca · outbound

This paper cites & Chen, Y.

Boosting Classification with Quantum-Inspired Augmentations & Chen, Y

Reference 11

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Observation eb4da509-0b61-459f-b7db-9289ac8e41d4 · outbound

This paper cites Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors.

Boosting Classification with Quantum-Inspired Augmentations Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors

Reference 12

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Observation d9ee2896-8942-4e35-98d8-1b6924742e96 · outbound

This paper cites & Khalil, I.

Boosting Classification with Quantum-Inspired Augmentations & Khalil, I

Reference 13

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Observation d5c7828f-aeed-454e-adbb-22c9bbe96dee · outbound

This paper cites Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits.

Boosting Classification with Quantum-Inspired Augmentations Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

Reference 14

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Observation fd8231bd-86b3-48ea-aa44-7b7ae9431289 · outbound

This paper cites R., Izaac, J., Schuld, M.

Boosting Classification with Quantum-Inspired Augmentations R., Izaac, J., Schuld, M

Reference 15

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Observation 5b9e23c1-f29d-4061-986d-02d028e8b96d · outbound

This paper cites & Stirenko, S.

Boosting Classification with Quantum-Inspired Augmentations & Stirenko, S

Reference 16

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Observation dfaacddb-57be-42ca-bad0-bc739ff2b757 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 17

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Observation 7a6ee820-ed59-4e70-8ce6-9334e8a4cbae · outbound

This paper cites Disqu: investigating the impact of disorder in quantum generative models.arXiv preprint arXiv:2409.16180 (2024).

Boosting Classification with Quantum-Inspired Augmentations Disqu: investigating the impact of disorder in quantum generative models.arXiv preprint arXiv:2409.16180 (2024)

Reference 18

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Observation e730c016-a66b-4b12-8266-7aa929c2cc7f · outbound

This paper cites Quantum Computing in the NISQ era and beyond.

Boosting Classification with Quantum-Inspired Augmentations Quantum Computing in the NISQ era and beyond

Reference 19

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Observation 267ccc62-7755-450e-a913-afa05d81bc59 · outbound

This paper cites Quantum-inspired sublinear classical algorithms for solving low-rank linear systems.

Boosting Classification with Quantum-Inspired Augmentations Quantum-inspired sublinear classical algorithms for solving low-rank linear systems

Reference 20

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Observation f73f0f28-d1c6-44a3-8169-5bc39e3c71e6 · outbound

This paper cites M., Delgado, A., Bardhan, B.

Boosting Classification with Quantum-Inspired Augmentations M., Delgado, A., Bardhan, B

Reference 21

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Observation 5e3d53b3-52fa-41b8-8993-88b6f0fc49d8 · outbound

This paper cites Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation.

Boosting Classification with Quantum-Inspired Augmentations Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation

Reference 22

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Observation 1009b1d5-2b26-4266-873a-bc53e497cdab · outbound

This paper cites & Moghiseh, A.

Boosting Classification with Quantum-Inspired Augmentations & Moghiseh, A

Reference 23

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Observation 1c671a1b-adeb-4e56-8653-83161858419f · outbound

This paper cites & Andronikos, T.

Boosting Classification with Quantum-Inspired Augmentations & Andronikos, T

Reference 24

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Observation 1d38cefa-6ffb-44f9-ba56-711cf784a192 · outbound

This paper cites Quantum-Inspired Machine Learning: a Survey.

Boosting Classification with Quantum-Inspired Augmentations Quantum-Inspired Machine Learning: a Survey

Reference 25

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Observation 2125a97a-3f69-4798-a200-61e3b105d023 · outbound

This paper cites & Hinton, G.

Boosting Classification with Quantum-Inspired Augmentations & Hinton, G

Reference 26

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Observation 8a349a9c-7751-4b0e-b743-a65215c19421 · outbound

This paper cites Quantum Multimodal Contrastive Learning Framework.

Boosting Classification with Quantum-Inspired Augmentations Quantum Multimodal Contrastive Learning Framework

Reference 27

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Observation aac53cd5-6039-4456-89e8-2b163e74c9d1 · outbound

This paper cites & Wang, X.

Boosting Classification with Quantum-Inspired Augmentations & Wang, X

Reference 28

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Observation 6822dc3c-f68f-4090-9f97-0cc1acada513 · outbound

This paper cites & Wang, X.

Boosting Classification with Quantum-Inspired Augmentations & Wang, X

Reference 29

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Observation e0580888-8bc1-4f7a-9451-3e3324bf61cb · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 30

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Observation 9b38c2cc-f808-4139-acfd-3bc16f846b3f · outbound

This paper cites Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning.

Boosting Classification with Quantum-Inspired Augmentations Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning

Reference 31

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Observation f5bd916f-87cd-4f0f-8251-ff079c2105a1 · outbound

This paper cites & Yan, R.

Boosting Classification with Quantum-Inspired Augmentations & Yan, R

Reference 32

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Observation 9db66d57-6f66-4444-b68c-2fdb73fa6927 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

Boosting Classification with Quantum-Inspired Augmentations Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 33

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Observation 5df7e758-fa75-43e5-8b19-a34e8d4704a7 · outbound

This paper cites & Sun, J.

Boosting Classification with Quantum-Inspired Augmentations & Sun, J

Reference 34

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Observation 71cb120d-b3e3-4cf9-a3ee-f7a9eeef5b5d · outbound

This paper cites & Capmany, J.

Boosting Classification with Quantum-Inspired Augmentations & Capmany, J

Reference 35

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Observation 31060b51-dddd-4d65-997c-48aa125c74dc · outbound

This paper cites J., Bergholm, V.

Boosting Classification with Quantum-Inspired Augmentations J., Bergholm, V

Reference 36

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e5443fb3-5c4a-4b4d-ba37-5faf5deef5be · outbound

This paper cites Quantum computing in the nisq era and beyond.

Boosting Classification with Quantum-Inspired Augmentations Quantum computing in the nisq era and beyond

Reference 37

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Observation 9df9be12-d363-4690-8692-4df40e824383 · outbound

This paper cites F., Blank, C., Araújo, I.

Boosting Classification with Quantum-Inspired Augmentations F., Blank, C., Araújo, I

Reference 38

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raw_fallback, observed 2026-08-06T22:12:08.048491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.444488Z digest=sha256:1308191fd6294bd1074109156dc253d16ec270789658ca0082a9a34040fc0999

Observation 0c6b7e1b-e483-424b-89ba-4c20f964fda9 · outbound

This paper cites & Protasov, S.

Boosting Classification with Quantum-Inspired Augmentations & Protasov, S

Reference 39

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:12:07.782130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.551997Z digest=sha256:1c676c62ec53ec67f6663d88a7293abda420a18b6f06a1cbad9fe8541c2869d5

Observation f6ed08c8-8988-43d0-af65-95acbda543a7 · outbound

This paper cites O., Endo, S.

Boosting Classification with Quantum-Inspired Augmentations O., Endo, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:07.498995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.629723Z digest=sha256:cb01623557b7e9d25c487638f857df926d13f56d4401d8a74d39a35847efce25

Observation 720fdbf7-5849-4ffd-992a-272ec42940b9 · outbound

This paper cites & Sánchez-Soto, L.

Boosting Classification with Quantum-Inspired Augmentations & Sánchez-Soto, L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:07.164016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.723915Z digest=sha256:bfa339f7d429a62758582840f0627ab1e456b272b0776dce5f3bd7842d8ec91e

Observation b2e70c16-53b1-4100-9279-3638c33e2087 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:12:06.842741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.837038Z digest=sha256:fb641ee1319efe1bf83689bea6fbc2d7435aac4cefb8150367c6570e7bc528fd

Observation ede38592-b620-46b4-b241-0bf0ee0401b7 · outbound

This paper cites & Lukin, M.

Boosting Classification with Quantum-Inspired Augmentations & Lukin, M

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:06.494645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:01.934044Z digest=sha256:26b61b2ac54501e710c14cffe9d0a7ecc823bbf245865fd4fe17cc3d1304f226

Observation 20659caa-4f8a-40b4-89f9-82ad92b99e6c · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 44

Resolution
malformed identifier
no resolver link, observed 2026-08-06T22:12:02.032125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:02.032125Z digest=sha256:f3982e00db7785aa99c6ebf12ddc24fbd6c60e4ce1beff368e75b96e0f754705

Observation 04f7fa84-107f-4787-85c7-94d9e629dc6d · outbound

This paper cites Https://people.math.sc.edu/Burkardt/data/tif/cameraman.tif [Online; accessed June 17, 2025].

Boosting Classification with Quantum-Inspired Augmentations Https://people.math.sc.edu/Burkardt/data/tif/cameraman.tif [Online; accessed June 17, 2025]

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:06.208913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.117143Z digest=sha256:335fbcfe3dd6024701a3af8dc9290c6e0ab07348739a478e3428ff8287ac0423

Observation 5e4e783e-cfd1-406f-9513-669e272c93c2 · outbound

This paper cites Fast r-cnn.

Boosting Classification with Quantum-Inspired Augmentations Fast r-cnn

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:06.098881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.223238Z digest=sha256:20168365e59e65366a04c54429d4af1bb9e65e162cd0b32d1e0f5fc4bc2352e1

Observation 925d3171-2788-449f-a598-9c668a16e31b · outbound

This paper cites & Adam, H.

Boosting Classification with Quantum-Inspired Augmentations & Adam, H

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.986177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.289862Z digest=sha256:24054ddb6d1a941ca43223350027453b5aab86a14c2187230fb3e2c0515f1a19

Observation 30181a75-3aac-4335-922e-50e647087166 · outbound

This paper cites & Lukowicz, P.

Boosting Classification with Quantum-Inspired Augmentations & Lukowicz, P

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.857914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.377338Z digest=sha256:c409a34d5b31e598f4b392c32d6945be90347aafb00f1a1c9f5d5c0d1feed225

Observation 1b045bdf-c9da-4aa9-b56c-36068a9fe1b6 · outbound

This paper cites The distribution of means for samples of size n drawn from a population in which the variate takes values between 0 and 1, all such values being equally probable.

Boosting Classification with Quantum-Inspired Augmentations The distribution of means for samples of size n drawn from a population in which the variate takes values between 0 and 1, all such values being equally probable

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.744296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.478947Z digest=sha256:91fa70061a7335798129ea7f7d4be16a766ba4db3d194f2613276e962346c28d

Observation 9d4eec80-e775-445c-8e96-de3a03b42241 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:12:05.623693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.585208Z digest=sha256:d17c549b8054d9981e622b3ddf5afc42f0baa9d238862bebc88af2aa40df900f

Observation ade41dde-f7d1-469a-84cb-7758af6659ec · outbound

This paper cites & Smith, A.

Boosting Classification with Quantum-Inspired Augmentations & Smith, A

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.526086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.664313Z digest=sha256:c9b62fe11a65ba3f68a7400e5442923766924ed86014937e22b928371910fbb3

Observation 891a63c7-9fae-4d8c-a3a0-0ad59db370d8 · outbound

This paper cites New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models.

Boosting Classification with Quantum-Inspired Augmentations New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:02.763845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:02.763845Z digest=sha256:6edd5914baeaddb48728609c99aceca4b62d02a68a2bee3033210a613a1000b5

Observation 8ae3f5ea-a195-4278-bb28-f2f5bf5eecbf · outbound

This paper cites Differential privacy.

Boosting Classification with Quantum-Inspired Augmentations Differential privacy

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.407298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.845080Z digest=sha256:45de0ae0229a254fec02f29487329cc31874ce84654f3c42b90033ff3ddaef9b

Observation 3fd2b576-a14b-4836-9ad3-0483e1b27ca2 · outbound

This paper cites & Naor, M.

Boosting Classification with Quantum-Inspired Augmentations & Naor, M

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.305041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:02.960727Z digest=sha256:d5038ef17f9e5af8a9b8d0d3e6bf34ff09fcf9d4795d394101284281606ac988

Observation 75333b9a-eb5b-4534-bff3-5a05ea2e8228 · outbound

This paper cites Renyi differential privacy.

Boosting Classification with Quantum-Inspired Augmentations Renyi differential privacy

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:12:05.169641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:03.045042Z digest=sha256:1a6b99920eda1d11843ec55efa234598004aacf4b4949a640fb02f77f49ed8c2

Observation c862bb58-7a3d-4345-9e64-9386a34ef922 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:12:05.055923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:03.155579Z digest=sha256:cbe490233bf609c614b5edf5538e7093463b7c17d19381c847ee9f3f61bd2b59

Observation eb0582bd-25e0-4985-a2df-2b88ce68fcb0 · outbound

This paper cites an unresolved cited work.

Boosting Classification with Quantum-Inspired Augmentations Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:12:04.908622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:12:03.260846Z digest=sha256:b9235be244d48221aa2b48305294a306786dde61a339f29f5a4df34a3fb74174

Pith citing papers

No inbound Pith citation observations are available.