Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:44:12.974835Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2603.01372.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T19:44:12.974835Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ae5772af-88ce-4e3a-a49c-8f81faa155c5 · outbound
Causal Neural Probabilistic Circuits Imagenet: A large-scale hierarchical image database
Reference 1
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Observation fd055552-2eca-47ad-8c3b-01a5f9f08825 · outbound
Causal Neural Probabilistic Circuits Unresolved cited work
Reference 2
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Observation 189ed190-2667-40a0-89b2-084f6e537c85 · outbound
Causal Neural Probabilistic Circuits Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nat
Reference 3
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Observation 22683ab6-cd1c-44c6-9bca-11423765ba0f · outbound
Causal Neural Probabilistic Circuits Concept bottleneck models
Reference 4
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Observation 1761c10e-54e0-43f9-bc75-6ee037729bf8 · outbound
Causal Neural Probabilistic Circuits Right for the right concept: Revising neuro-symbolic concepts by interacting with their explanations
Reference 5
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Observation e4a4a010-8b5b-4ee3-afc5-cc7c7b2aa66c · outbound
Causal Neural Probabilistic Circuits Novoa, Justin Ko, Susan M
Reference 6
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Observation 156b7dea-2982-4100-9550-6b4c70e4aa47 · outbound
Causal Neural Probabilistic Circuits Clinically applicable deep learning for diagnosis and referral in retinal disease.Nature medicine, 24(9):1342–1350, 2018
Reference 7
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Observation 8707f446-6b10-475d-894f-45cda6800a59 · outbound
Causal Neural Probabilistic Circuits Concept embedding models: Beyond the accuracy- explainability trade-off
Reference 8
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Observation 35bd075d-2fd5-4b1d-aac8-69aaef571de4 · outbound
Causal Neural Probabilistic Circuits Oikarinen, Subhro Das, Lam M
Reference 9
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Observation f0d6e91a-c8b9-4567-abdf-e6d4f1500654 · outbound
Causal Neural Probabilistic Circuits Causal inference in statistics: An overview
Reference 10
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Observation 0a2ac6f9-e216-4c5f-887d-333e83ef49a7 · outbound
Causal Neural Probabilistic Circuits The MIT press, 2017
Reference 11
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Observation bda30270-b9a8-4d5c-a149-b4662989a108 · outbound
Causal Neural Probabilistic Circuits Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning
Reference 12
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Observation f69e599e-a664-4924-a7e0-5bd2bbcd3832 · outbound
Causal Neural Probabilistic Circuits Neural probabilistic circuits: An overview
Reference 13
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Observation 8cbd217d-b3cc-456c-96c5-a69a4ae7ec72 · outbound
Causal Neural Probabilistic Circuits Domingos
Reference 14
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Observation 6a66cf56-0db2-464f-b487-595a6dcde3c4 · outbound
Causal Neural Probabilistic Circuits Probabilistic circuits: A unifying framework for tractable probabilistic models.UCLA
Reference 15
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Observation 760c6c5e-e54f-4505-8a0c-6449589129fc · outbound
Causal Neural Probabilistic Circuits Probabilistic circuits: Representations, inference, learning and applications.AAAI Tutorial, 2020
Reference 16
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Observation 9e955c45-78ee-4aee-b106-9c3cacebfe9e · outbound
Causal Neural Probabilistic Circuits Causal Inference Using Tractable Circuits
Reference 17
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Observation 63e4bfcc-aca0-4b05-b252-de847d7d50ec · outbound
Causal Neural Probabilistic Circuits Training products of experts by minimizing contrastive divergence.Neural computation, 14(8):1771–1800, 2002
Reference 18
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Observation dd57ce04-197b-4444-b58b-c459370d7982 · outbound
Causal Neural Probabilistic Circuits Dietterich
Reference 19
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Observation 9bdb9f5b-4c33-48f5-bbf7-a6a8658607a0 · outbound
Causal Neural Probabilistic Circuits Goodfellow, Jonathon Shlens, and Christian Szegedy
Reference 20
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Observation 8c83bddb-f3f0-4f23-8160-4b46a79b6f7d · outbound
Causal Neural Probabilistic Circuits Unresolved cited work
Reference 22
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Observation 744aa4d9-f15f-4c23-8ebe-056f4ca96080 · outbound
Causal Neural Probabilistic Circuits Addressing leakage in concept bottle- neck models
Reference 23
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Observation cbaed461-9699-4e79-af47-6f9bd4cee136 · outbound
Causal Neural Probabilistic Circuits Causally reliable concept bottleneck models
Reference 24
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Observation 162e4cd1-960c-4ad0-abd7-ad49bfd4f2ce · outbound
Causal Neural Probabilistic Circuits Causal concept graph models: Beyond causal opacity in deep learning
Reference 25
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Observation 53aa2109-bf18-44a1-966f-6e037195ea4b · outbound
Causal Neural Probabilistic Circuits A closer look at the intervention procedure of concept bottleneck models
Reference 26
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Observation 4db8a229-b0ca-47ed-ae50-1b1b9ef5f491 · outbound
Causal Neural Probabilistic Circuits Learning from uncertain concepts via test time interventions
Reference 27
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Observation 28c8278f-c63c-4ced-91f7-7ad3ee143754 · outbound
Causal Neural Probabilistic Circuits Interactive concept bottleneck models
Reference 28
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Observation c6a7fb75-0833-480e-8884-c2857fd1cb3b · outbound
Causal Neural Probabilistic Circuits Learning to intervene on concept bottlenecks
Reference 29
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Observation b12d4a20-7adf-49f5-9934-33c634a9ecf7 · outbound
Causal Neural Probabilistic Circuits Post-hoc concept bottleneck models
Reference 30
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Observation 7922f7bf-1807-4fa3-b626-9a8f68a72c3f · outbound
Causal Neural Probabilistic Circuits VLG-CBM: training concept bottleneck models with vision-language guidance
Reference 31
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Observation eb33d9d1-08ca-4b00-921b-458d2cc1725d · outbound
Causal Neural Probabilistic Circuits Causal diagrams for empirical research.Biometrika, 82(4):669–688, 1995
Reference 32
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Observation c4db4820-00e5-4da5-8f83-9bea6d5ee6b5 · outbound
Causal Neural Probabilistic Circuits A general identification condition for causal effects
Reference 33
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Unavailable: canonical work link unavailable.
Observation 159899ca-a42e-4667-9701-cfa7dd0ed296 · outbound
Causal Neural Probabilistic Circuits An algorithm for fast recovery of sparse causal graphs.Social science computer review, 9(1):62–72, 1991
Reference 34
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Observation 95fc4485-082f-452b-aafd-356ff61ece7b · outbound
Causal Neural Probabilistic Circuits Learning bayesian networks: The combination of knowledge and statistical data.Machine learning, 20(3):197–243, 1995
Reference 35
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Observation a693b1bd-5a65-49fb-a187-5a77d67ac723 · outbound
Causal Neural Probabilistic Circuits Optimal structure identification with greedy search.Journal of machine learning research, 3(Nov):507–554, 2002
Reference 36
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Observation 997bcfff-cde0-4d76-a78e-a8dab04f5c50 · outbound
Causal Neural Probabilistic Circuits Understanding and improving adversarial robustness of neural probabilistic circuits
Reference 37
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Observation 9b520e4c-dc01-43d5-9af5-6026ef990ab0 · outbound
Causal Neural Probabilistic Circuits Bucket elimination: A unifying framework for reasoning.Artificial Intelligence, 113(1-2):41–85, 1999
Reference 38
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Observation c9caae1d-de0a-4839-afed-c1ec47c3bc41 · outbound
Causal Neural Probabilistic Circuits MIT press, 2009
Reference 39
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Observation 2b0e8dd5-b3a7-4d6b-b152-af0f539847c4 · outbound
Causal Neural Probabilistic Circuits Cambridge university press, 2009
Reference 40
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Observation b1bb5648-a699-45ae-95a5-c5e8f1ff93a6 · outbound
Causal Neural Probabilistic Circuits Compiling bayesian networks using variable elimination
Reference 41
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Unavailable: canonical work link unavailable.
Observation ecf2b00a-52b9-49a8-b602-8aae91171931 · outbound
Causal Neural Probabilistic Circuits A differential approach to inference in bayesian networks.J
Reference 42
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Observation 83705caa-379f-4c48-917d-5cd66d6eccec · outbound
Causal Neural Probabilistic Circuits Unresolved cited work
Reference 43
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Observation 34873195-7f9d-4cc8-b2de-df6505cfb453 · outbound
Causal Neural Probabilistic Circuits Denoising diffusion probabilistic models
Reference 44
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Observation 0ff9a27c-5746-4d4c-acc0-66f89ab555e6 · outbound
Causal Neural Probabilistic Circuits Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020
Reference 45
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Observation fa213b71-4bfd-41fc-a167-06bfc3a5f92e · outbound
Causal Neural Probabilistic Circuits Combining probability distributions: A critique and an annotated bibliography.Statistical Science, 1(1):114–135, 1986
Reference 46
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Observation 8331326f-fd47-48c1-924f-e7618d13fcf3 · outbound
Causal Neural Probabilistic Circuits Selecting weighting factors in logarithmic opinion pools
Reference 47
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Observation 1730d79a-9b4f-4e83-98c8-6f878dfa44fa · outbound
Causal Neural Probabilistic Circuits Unresolved cited work
Reference 48
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Observation 836448ab-bcd6-48fc-809d-3fa811916323 · outbound
Causal Neural Probabilistic Circuits Learning bayesian networks with the bnlearn r package.Journal of statistical software, 35:1–22, 2010
Reference 49
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Observation ba0a1e84-d97f-4512-bb19-c4944e08c2ba · outbound
Causal Neural Probabilistic Circuits Causal protein-signaling networks derived from multiparameter single-cell data.Science, 308(5721): 523–529, 2005
Reference 50
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Observation 2c283c80-2df5-466c-bc58-deca773d2b58 · outbound
Causal Neural Probabilistic Circuits Deepproblog: Neural probabilistic logic programming
Reference 51
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Observation 949d2688-ff4c-4af4-8fb7-980449e62683 · outbound
Causal Neural Probabilistic Circuits Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 2002
Reference 52
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Observation ddea5031-633d-4ac2-b3de-4e7072b528b4 · outbound
Causal Neural Probabilistic Circuits Invariant Risk Minimization
Reference 53
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Observation 25f524f3-f71e-45b1-80af-c54f99a22f4c · outbound
Causal Neural Probabilistic Circuits Deep learning face attributes in the wild
Reference 54
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Observation d6576c14-e7bc-4f04-9418-a75ba9910e0b · outbound
Causal Neural Probabilistic Circuits Towards deep learning models resistant to adversarial attacks
Reference 55
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Observation 75830439-f013-4f64-bf37-270f7600064b · outbound
Causal Neural Probabilistic Circuits A baseline for detecting misclassified and out-of-distribution examples in neural networks
Reference 56
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Observation 9a33f7f0-97bd-46eb-9e11-c3cbb5c4696c · outbound
Causal Neural Probabilistic Circuits Unresolved cited work
Reference 57
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Observation 32810354-32e6-4026-9e68-39ce61648587 · outbound
Causal Neural Probabilistic Circuits Domingos
Reference 58
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Observation 64d31b75-11c5-4616-8d45-82a1a2b5ea73 · outbound
Causal Neural Probabilistic Circuits What would the outcome have been had the attribute been set to a different value?
Reference 59
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No inbound Pith citation observations are available.