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Paper Citation Record · LEDGER

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.05393.

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

pith.paper-citation-record.v1
2607.05393 v1

Coverage vector

measured 57 of 57 reference resolution

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measured 57 of 57 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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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 63fa0a4a-f87a-40fd-940d-d4a828ee7e18 · outbound

This paper cites A., Allison, J., Anderson, S.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification A., Allison, J., Anderson, S

Reference 1

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Observation 4777ac57-cf4c-491f-832b-1352c84b04c9 · outbound

This paper cites 2019, Optuna: A Next- generation Hyperparameter Optimization Framework.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2019, Optuna: A Next- generation Hyperparameter Optimization Framework

Reference 2

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Observation b57f4c3c-a476-46ae-a288-eb288a7d6eb5 · outbound

This paper cites 2000, A&AS, 144, 363.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2000, A&AS, 144, 363

Reference 3

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Observation 02cb528c-4d31-4098-8f2a-0ebc8e5733f5 · outbound

This paper cites & Lupton, R.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification & Lupton, R

Reference 4

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Observation 0675a4ca-c959-4f5a-ac05-a007e7a292bd · outbound

This paper cites 2017, in Proceedings of Machine Learning Research, V ol.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, in Proceedings of Machine Learning Research, V ol

Reference 5

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Observation f675ed0e-ccd9-41a2-bbf6-74360d746018 · outbound

This paper cites 2011, in Advances in Neural Information Processing Systems, ed.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2011, in Advances in Neural Information Processing Systems, ed

Reference 6

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Observation 09d99ffe-ac31-400c-8eee-6f3e08f7c5f3 · outbound

This paper cites 2016, Layer- wise Relevance Propagation for Neural Networks with Local Renormaliza- tion Layers.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2016, Layer- wise Relevance Propagation for Neural Networks with Local Renormaliza- tion Layers

Reference 7

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Source-reported events for the cited work

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Observation be5181df-342e-46a1-bfec-11a3c061be79 · outbound

This paper cites L., Rykoff, E.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification L., Rykoff, E

Reference 8

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Observation e55a2723-c57c-4e83-9057-b6c547d62aee · outbound

This paper cites 2023, Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2023, Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts

Reference 9

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Observation 5bd14e99-2918-411e-884f-3ec086a6aced · outbound

This paper cites 2020, Distill, https://distill.pub/2020/circuits.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2020, Distill, https://distill.pub/2020/circuits

Reference 10

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Observation 139e7c14-6a7c-47b2-b2c9-309074b6190e · outbound

This paper cites 2021, The Astronomical Journal, 162, 231.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2021, The Astronomical Journal, 162, 231

Reference 11

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Observation c71dec07-47dd-4b2c-94f7-a8a6e3bcee64 · outbound

This paper cites 2023, TransientViT: A novel CNN - Vision Transformer hybrid real/bogus transient classifier for the Kilodegree Auto- matic Transient Survey D’Angelo, F.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2023, TransientViT: A novel CNN - Vision Transformer hybrid real/bogus transient classifier for the Kilodegree Auto- matic Transient Survey D’Angelo, F

Reference 12

Resolution
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Source-reported events for the cited work

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Observation b8b5afba-0429-43a5-ad1e-6dd66584fef9 · outbound

This paper cites 2026, Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2026, Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

Reference 13

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Observation 7e93c549-c409-4587-8c8e-02f0e992b0f1 · outbound

This paper cites W., & Dambre, J.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification W., & Dambre, J

Reference 14

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Observation e8d1b865-b1e9-4731-b15e-722d4dbbc1ec · outbound

This paper cites 2022, Toy Models of Superposition.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2022, Toy Models of Superposition

Reference 15

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Observation 98063fbd-398c-4373-81b2-fe101b2d7e7b · outbound

This paper cites 2021, Transformer Circuits Thread, https://transformer-circuits.pub/2021/framework/index.html.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2021, Transformer Circuits Thread, https://transformer-circuits.pub/2021/framework/index.html

Reference 16

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Observation 19bb055c-d94f-45aa-a082-1c13ac72da31 · outbound

This paper cites 2020, Deep Ensembles: A Loss Land- scape Perspective.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2020, Deep Ensembles: A Loss Land- scape Perspective

Reference 17

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Observation 021d80d4-981c-4bd4-b227-61940d8fd106 · outbound

This paper cites & Ghahramani, Z.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification & Ghahramani, Z

Reference 18

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Observation 620fefef-b587-402b-9813-e06cc70113b7 · outbound

This paper cites 2022, Monthly Notices of the Royal As- tronomical Society, 513, 1742.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2022, Monthly Notices of the Royal As- tronomical Society, 513, 1742

Reference 19

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This paper cites L., Bellm, E.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification L., Bellm, E

Reference 20

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Observation 76cda884-66be-4197-9758-dd7aa190238e · outbound

This paper cites an unresolved cited work.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Unresolved cited work

Reference 21

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This paper cites 2018, Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2018, Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Reference 22

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Observation 61b342cb-974b-4b12-b0a5-e55ed4066728 · outbound

This paper cites 2012, Advances in Neural Information Processing Systems, 1097.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2012, Advances in Neural Information Processing Systems, 1097

Reference 23

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Observation fff2a55b-1a23-4af5-88a6-e22f01363c50 · outbound

This paper cites 2021, Experimental Astronomy, 51, 319–344.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2021, Experimental Astronomy, 51, 319–344

Reference 24

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Observation 80fca74b-9497-40bb-858e-a553933a137f · outbound

This paper cites 2022, Photometric calibration methods for wide-field photometric surveys Ivezi´c, Ž., Kahn, S.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2022, Photometric calibration methods for wide-field photometric surveys Ivezi´c, Ž., Kahn, S

Reference 25

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Observation 372ea8f4-3d3b-4e00-8849-5153cdef9f90 · outbound

This paper cites 2015, The Astronomical Journal, 150, 172.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2015, The Astronomical Journal, 150, 172

Reference 26

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This paper cites L., Lyman, J., Steeghs, D., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification L., Lyman, J., Steeghs, D., et al

Reference 27

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This paper cites 2018, Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V).

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2018, Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCA V)

Reference 28

Resolution
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This paper cites an unresolved cited work.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Unresolved cited work

Reference 29

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Observation c7c9dee5-f12c-4106-92bf-d28938b1681f · outbound

This paper cites 2017, Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 30

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Observation 38fa5642-4343-4c09-b0c2-4bde9a9cb401 · outbound

This paper cites 2017, Monthly Notices of the Royal Astronom- ical Society, 473, 3895.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, Monthly Notices of the Royal Astronom- ical Society, 473, 3895

Reference 31

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Observation 3897a689-fb08-4b19-a8b4-457f3ad8415d · outbound

This paper cites S., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification S., et al

Reference 32

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Observation 53be4b9c-5ef3-431b-869c-e8f9ef8c89fb · outbound

This paper cites 2010, Monthly Notices of the Royal Astronomical Society, 410, 166–178.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2010, Monthly Notices of the Royal Astronomical Society, 410, 166–178

Reference 33

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raw_fallback, observed 2026-07-07T12:33:45.593112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:547ce38ba41024a1945bba8fd17669666d1877c9e263495ef4732eb26fedaaee

Observation 0af5b606-6184-4b69-b462-a02b3487b2e0 · outbound

This paper cites The Mythos of Model Interpretability.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification The Mythos of Model Interpretability

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.234209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:d9000d3443d22af2f4e24f26c189cc3dccc9560a8035da6275b80f6b760eda4e

Observation a1fa0160-7b9e-4e0b-b7ff-3c9f18499ff6 · outbound

This paper cites M., Armstrong, R., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification M., Armstrong, R., et al

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.629144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:49eafc5cb92186d306d60229fd015f2df44734d31e189a1d0676b7755e101198

Observation fe44bb18-3db0-446f-b3ce-55755c5fb695 · outbound

This paper cites LSST Science Book, Version 2.0.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification LSST Science Book, Version 2.0

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.233102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:860bf12e58a555e3e35234f76c4fb20b90deb4e9e44a653fd3bca8fe8dfbe130

Observation f5581b1d-bdc7-43fc-899b-171f99459b13 · outbound

This paper cites & Lee, S.-I.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification & Lee, S.-I

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.615175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:7161934acc26a4fe9c2f3f08959a07f16e6a6452a52316ee5443a17861abf837

Observation c6aaf85e-3d63-4617-b64b-76857928adca · outbound

This paper cites an unresolved cited work.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-07T12:33:45.605141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:d7cb0670b3ce42289193092f94cb4483761db091cc5675827055b1a8b3ba8b13

Observation 3acb4c89-f355-4403-909e-3609774032d3 · outbound

This paper cites 2022, Astronomy & Astrophysics, 664, A81.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2022, Astronomy & Astrophysics, 664, A81

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.612481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:126f1c3775e0e13e9d59e7762e060332db0bf43f2e3a8c6ec20d68342f26314b

Observation 26d40d09-e3f3-45bc-b1c7-0a9dce9390dc · outbound

This paper cites 2013, Spectroscopy in the Era of LSST.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2013, Spectroscopy in the Era of LSST

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.613168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:16571537fac90dabd1b7f7efbffd4df4acf8962f25d2577fe1a56c731a7bca9c

Observation 6b44f1e5-b410-4309-b4a9-5a0e413d00ec · outbound

This paper cites 2020, UMAP: Uniform Manifold Approx- imation and Projection for Dimension Reduction.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2020, UMAP: Uniform Manifold Approx- imation and Projection for Dimension Reduction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.643275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:d18c73b2f1095b786a914011f0f44f3c27e0a3b4c29614fb4bf126db3898fabd

Observation 016e9470-0702-437b-9e76-6ef4f3e08633 · outbound

This paper cites 2017, Publications of the Astronomical Society of Japan, 70, S1.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, Publications of the Astronomical Society of Japan, 70, S1

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.641354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:37aa22e08d2bc8eb6309fb3fef613b48c3735b937b2cc2201f3b1f7d40e51da8

Observation 53eb7347-374e-4575-8fd5-5e290ff9edf3 · outbound

This paper cites L., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification L., et al

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.572981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:38e73cb06b525646d9a1e539415eb9dbcc889e6d74d1ea39f5d5fc95d9e055e4

Observation 43821fae-9e87-4e0f-9fd5-de45038c6597 · outbound

This paper cites P., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification P., et al

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.566623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:824658a785159c041886e1c17211ead5a20a3d7fc444367bf6c4842b4935750e

Observation 0e1a453d-5cc8-40ef-9455-ba24a43cba47 · outbound

This paper cites D., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification D., et al

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.623423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:75ba9552d4d4a535bc5d7ef68f3a559662ea9714ef7c0d4875312ef3efdedb1f

Observation 90da8b92-5cf5-47fa-80f3-204086cb7f63 · outbound

This paper cites & Caruana, R.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification & Caruana, R

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.586855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:e6ea375d3fd3a23e231f252240a4200a512daff9577614dcc2d51e3eedf84cf9

Observation 4e324976-690e-47cb-a515-01f0d2e03f87 · outbound

This paper cites 2017, Distill, https://distill.pub/2017/feature-visualization.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, Distill, https://distill.pub/2017/feature-visualization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.578935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:424131b7b1c347babe53dbfc6b4403273b65ffe8a1845026720d10dcf30f024d

Observation a252ef8b-dfc2-4869-89c5-fcdac110a5b1 · outbound

This paper cites J., Finkbeiner, D.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification J., Finkbeiner, D

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.598930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:886b47f6baa72e962b288dec6285841de22160102a7ad765fdf5901b03b887b2

Observation 4f8becb7-c376-43ca-aa99-1761d701f96d · outbound

This paper cites A., Reyes, I., et al.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification A., Reyes, I., et al

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.634231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:b05eda270700e0b7d4c7027deefb8e88e13f86ce7c8f607815d128b69633796d

Observation 273c4632-a575-4ca4-b79f-ce492bb17dcd · outbound

This paper cites Why Should I Trust You?.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Why Should I Trust You?

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.624051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:c0542db8ce6513808efd7c66aaa134f2a2beefb1449b9d06c69ef36c3eaadda3

Observation 6733f733-2c9a-4412-811d-3880bedb3655 · outbound

This paper cites 2017, in Advances in Neural Information Processing Systems Article number, page 14 Bonnet-Guerrini et al.: Interpretable Human-Label-Free Real-Bogus with UQ.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, in Advances in Neural Information Processing Systems Article number, page 14 Bonnet-Guerrini et al.: Interpretable Human-Label-Free Real-Bogus with UQ

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.593642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:311954d35601813154cf0557e20527df59a53f262ad3b20dc18596e60a12e1c6

Observation 350e4e40-e8aa-45c2-b1d9-8bbcb3698262 · outbound

This paper cites & Mahabal, A.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification & Mahabal, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.639682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:3515e901f4db7f2f5b1c0e1dc02eaf23b0e5c55313fe0fa339c1b4e0e9b0f6da

Observation bc1058f6-446b-42df-b313-73e18c8da1eb · outbound

This paper cites 2025, Open Problems in Mechanistic Interpretability.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2025, Open Problems in Mechanistic Interpretability

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.636170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:e8ce4fa637c8d37c8ac61463571baa24b8910884f0a768904685a07776dcc357

Observation 9b793fac-e68c-477d-a7c3-30df39db6536 · outbound

This paper cites 2017, Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Sánchez, B.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 2017, Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Sánchez, B

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.602795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:e28956da4f688085b0de78edc8f9f5dbe65dcad136b06f76324fa0c3443f88b9

Observation e89f9b06-1f97-4bf3-aaf2-de918d18b3b4 · outbound

This paper cites 1987, Chemometrics and Intelligent Lab- oratory Systems, 2, 37, proceedings of the Multivariate Statistical Workshop for Geologists and Geochemists.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification 1987, Chemometrics and Intelligent Lab- oratory Systems, 2, 37, proceedings of the Multivariate Statistical Workshop for Geologists and Geochemists

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T12:33:45.634411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:b20bb2b694d8e292f79f2bd73955f9275b336812beda6a8a512b4d7ade2410c8

Observation 574a98c8-4324-4bea-a90e-3a4fa6efe427 · outbound

This paper cites an unresolved cited work.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-07T12:33:45.628231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:81080ecf1d9e9bbfc3fe4b6eb4714d33cd2af0f2dea824fe1530c92257553894

Observation d3206034-7394-4a7e-be81-3a3dd61c7740 · outbound

This paper cites prediction.

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification prediction

Reference 57

Resolution
verified exact
doi, observed 2026-07-07T12:33:44.978556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-07T12:30:42.400178Z digest=sha256:789876300b486749bc714b4bd54dadbc59e152bdcd5d866611578b0f51436a3e

Pith citing papers

No inbound Pith citation observations are available.