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Paper Citation Record · LEDGER

A Compositional Theory of Curvature in Probabilistic Circuits

As of 22 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:2608.12869.

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

pith.paper-citation-record.v1
2608.12869 v1

Coverage vector

measured 93 of 93 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:15.013750Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

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

93 of 93 outbound references displayed

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  • verified fuzzy75
  • unresolved15
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecc56202-a806-4de5-8607-88fc748c12ae · outbound

This paper cites Relative Flatness and Generalization , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Relative Flatness and Generalization , year =

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 1f55dc2d-40b3-4d20-9fc0-a0a3adb82d74 · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

A Compositional Theory of Curvature in Probabilistic Circuits Forty-third International Conference on Machine Learning , year=

Reference 2

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Observation e3e88882-f8da-44f1-b46b-efd13d0eee9a · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

A Compositional Theory of Curvature in Probabilistic Circuits Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 3

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Observation 639b9415-866b-482e-af87-772309c5f8c8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems , volume=

Reference 4

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Observation 49db55b2-0912-4d71-b412-47aec245163a · outbound

This paper cites International Conference on Machine Learning , pages=.

A Compositional Theory of Curvature in Probabilistic Circuits International Conference on Machine Learning , pages=

Reference 5

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Observation 4d979f70-d935-4acd-bca2-98bac1fc603e · outbound

This paper cites International Conference on Learning Representations , year=.

A Compositional Theory of Curvature in Probabilistic Circuits International Conference on Learning Representations , year=

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 47501d38-628f-4924-96bf-49e8ed3849c1 · outbound

This paper cites 5th International Conference on Learning Representations, 2017 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits 5th International Conference on Learning Representations, 2017 , title =

Reference 7

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Observation 420f001e-179c-441e-972d-1b7016245c89 · outbound

This paper cites Tractable Control for Autoregressive Language Generation , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Tractable Control for Autoregressive Language Generation , year =

Reference 8

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Observation 2a296f2e-f967-41e1-bf8f-cb61bb845de3 · outbound

This paper cites AAAI Conference on Artificial Intelligence, 2025 , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence, 2025 , volume=

Reference 9

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Observation ac589752-7a9f-4787-a7fc-f6d55f237db7 · outbound

This paper cites How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits , year =

Reference 10

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Observation 9964750b-ca0b-4f00-b098-224ab6bc7c89 · outbound

This paper cites Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022 , title =

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 068e3d2e-b394-4a25-85bc-fbd4930c242c · outbound

This paper cites Probabilistic circuits that know what they don't know , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Probabilistic circuits that know what they don't know , year =

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67721b76-84c5-4a33-be7a-53cd53ec28c4 · outbound

This paper cites The 28th International Conference on Artificial Intelligence and Statistics , year =.

A Compositional Theory of Curvature in Probabilistic Circuits The 28th International Conference on Artificial Intelligence and Statistics , year =

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f048fc12-a904-4ec9-a3b0-0ce0a876518e · outbound

This paper cites Image Inpainting via Tractable Steering of Diffusion Models , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Image Inpainting via Tractable Steering of Diffusion Models , year =

Reference 14

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Observation 9084d070-a2de-4b13-8563-65ff07ea655a · outbound

This paper cites Balasubramanian , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Balasubramanian , bibsource =

Reference 15

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Observation a35ffbc8-7762-415b-b633-4ecbd10a3910 · outbound

This paper cites Lipton , booktitle =.

A Compositional Theory of Curvature in Probabilistic Circuits Lipton , booktitle =

Reference 16

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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.

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Observation 28528bcb-6dfe-461f-b029-956ecc81e197 · outbound

This paper cites Ugur Güney and Yann Dauphin and Léon Bottou , booktitle =.

A Compositional Theory of Curvature in Probabilistic Circuits Ugur Güney and Yann Dauphin and Léon Bottou , booktitle =

Reference 17

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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.

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Observation 3b56c767-322b-4132-b2b4-25cc36b7c567 · outbound

This paper cites Asymmetric Valleys: Beyond Sharp and Flat Local Minima , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Asymmetric Valleys: Beyond Sharp and Flat Local Minima , year =

Reference 18

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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.

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Observation c0967781-97ad-4740-8326-7ccf0f5d064e · outbound

This paper cites Improving Generalization in Federated Learning by Seeking Flat Minima , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Improving Generalization in Federated Learning by Seeking Flat Minima , year =

Reference 19

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

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Observation 5ec1c41f-e835-4c0e-a232-31d971ed3d8a · outbound

This paper cites Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances , year =

Reference 20

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Source-reported events for the cited work

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Observation f351a2f0-ce05-43b1-a897-b5bdf7b0e01c · outbound

This paper cites SIAM Journal on Mathematics of Data Science , title =.

A Compositional Theory of Curvature in Probabilistic Circuits SIAM Journal on Mathematics of Data Science , title =

Reference 21

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verified fuzzy
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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.

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Observation fe5106d6-457f-4384-8ed7-68a8e532440f · outbound

This paper cites Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, , title =

Reference 22

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Source-reported events for the cited work

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Observation c6afc2c2-1cb9-473d-8190-7282f6d0e1c2 · outbound

This paper cites Variational Inference with Normalizing Flows , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Variational Inference with Normalizing Flows , year =

Reference 23

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verified fuzzy
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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.

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Observation 809c42e7-e5e6-41c0-a6cc-25495e56d54a · outbound

This paper cites Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization , year =

Reference 24

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verified fuzzy
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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.

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Observation a510f305-a7f4-46d3-af99-b7b23d43f20b · outbound

This paper cites 38th International Conference on Machine Learning, 2021 , pages =.

A Compositional Theory of Curvature in Probabilistic Circuits 38th International Conference on Machine Learning, 2021 , pages =

Reference 25

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verified fuzzy
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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.

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Observation 0d2330b1-a911-477f-90aa-b5df488166c6 · outbound

This paper cites Building Expressive and Tractable Probabilistic Generative Models:.

A Compositional Theory of Curvature in Probabilistic Circuits Building Expressive and Tractable Probabilistic Generative Models:

Reference 26

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verified fuzzy
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Source-reported events for the cited work

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Observation 554c527d-7e45-4d3a-a8c4-fd27239933a0 · outbound

This paper cites Cutset networks: A simple, tractable, and scalable approach for improving the accuracy of chow-liu trees , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Cutset networks: A simple, tractable, and scalable approach for improving the accuracy of chow-liu trees , year =

Reference 27

Resolution
verified fuzzy
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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.

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Observation 1970eb97-f8d7-4b24-9e91-88043f2ad6c0 · outbound

This paper cites A Differential Approach to Inference in Bayesian Networks , year =.

A Compositional Theory of Curvature in Probabilistic Circuits A Differential Approach to Inference in Bayesian Networks , year =

Reference 28

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verified fuzzy
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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.

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Observation 0784dc4e-c426-42c0-b236-f1b7dde4f729 · outbound

This paper cites Sharpness-aware Minimization for Efficiently Improving Generalization , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Sharpness-aware Minimization for Efficiently Improving Generalization , year =

Reference 29

Resolution
verified fuzzy
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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.

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Observation 5daca3f1-bf9b-4d69-b5bc-80cbcf02566e · outbound

This paper cites Scaling Probabilistic Circuits via Monarch Matrices , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Scaling Probabilistic Circuits via Monarch Matrices , year =

Reference 30

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verified fuzzy
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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.

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Observation ff4a59cd-b521-4909-bab6-777a92f23833 · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Visualizing the Loss Landscape of Neural Nets , year =

Reference 31

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verified fuzzy
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Source-reported events for the cited work

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Observation 95cec61c-8b32-43a1-8704-075f8b5a89a7 · outbound

This paper cites Flat minima , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Flat minima , year =

Reference 32

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verified fuzzy
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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.

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Observation 7b0f1bc0-d9b7-4be5-bf54-40c407c46b6c · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , year =

Reference 33

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verified fuzzy
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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.

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Observation 1a033874-1abc-40ca-a719-e48b32a45671 · outbound

This paper cites Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits , year =

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.337518Z

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.

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Observation 339a9009-4488-40d7-90eb-8c32dfadc618 · outbound

This paper cites Strudel: Learning Structured-Decomposable Probabilistic Circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Strudel: Learning Structured-Decomposable Probabilistic Circuits , year =

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.319980Z

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=arxiv_source observed=2026-08-15T21:46:14.663928Z digest=sha256:9e42cfa5354ed98ac54a3888108c9c36d34130a78c36b22173a1a54bdb47a816

Observation a3030a87-ac88-43ad-bf50-f0d699482850 · outbound

This paper cites de Campos and Robert Peharz and Antonio Vergari and Erik Quaeghebeur , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits de Campos and Robert Peharz and Antonio Vergari and Erik Quaeghebeur , bibsource =

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.298409Z

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=arxiv_source observed=2026-08-15T21:46:14.669386Z digest=sha256:ff869fdd31d933b1b0e7ac0db7ec37f19fefda09c3b9485bf8a771903b6238f4

Observation 4c4559d1-c13f-4939-a59b-69c2e3e380fe · outbound

This paper cites Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems, 2022 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems, 2022 , title =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.277862Z

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=arxiv_source observed=2026-08-15T21:46:14.676498Z digest=sha256:81a1c0e2cf3a173e43e2cc252155dab2b3d62707a00b492d54eb33b22c273b42

Observation e564060d-d249-44fd-9c05-1e93710dbaa5 · outbound

This paper cites The Eleventh International Conference on Learning Representations, 2023 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits The Eleventh International Conference on Learning Representations, 2023 , title =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.256048Z

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=arxiv_source observed=2026-08-15T21:46:14.682003Z digest=sha256:00d6577642a8cab9cab4050c5ef3d97a8e5d8f9b61b8e233065f106b6f28083a

Observation 5a3d2380-45fe-41ce-864d-a9a5721f50f8 · outbound

This paper cites Sum of squares circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Sum of squares circuits , year =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.232775Z

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=arxiv_source observed=2026-08-15T21:46:14.692386Z digest=sha256:0a31ba53184604feb74947672fe74838615f364788182837a6f79c5cf2e92c21

Observation dd5e38ee-78e5-4dda-8f0e-c32358647b26 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

A Compositional Theory of Curvature in Probabilistic Circuits Transactions on Machine Learning Research , issn=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.211643Z

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=arxiv_source observed=2026-08-15T21:46:14.698692Z digest=sha256:db2c0e2cab3e7d85e72f7ded17d6c13e4c3945b6e39f40fffc88074f73b91e38

Observation 3dfd3489-a5a7-43da-abc7-22058e2377dc · outbound

This paper cites Sladek and Stefan Mengel and Martin Trapp and Arno Solin and Nicolas Gillis and Antonio Vergari , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Sladek and Stefan Mengel and Martin Trapp and Arno Solin and Nicolas Gillis and Antonio Vergari , bibsource =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.191594Z

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=arxiv_source observed=2026-08-15T21:46:14.704622Z digest=sha256:8dabbc45dad60f20e015e1ec119ce8428b677b4978aac9c7935f7c0827e35b07

Observation 2eaae6aa-6c2a-4e26-9eab-98bad60bf98a · outbound

This paper cites Tractable Regularization of Probabilistic Circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Tractable Regularization of Probabilistic Circuits , year =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.171969Z

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=arxiv_source observed=2026-08-15T21:46:14.710803Z digest=sha256:1f4a39ed73166521f65007b9c6fdb62f8a5a8c36dcddc78aab3afb463648dc12

Observation 37e89263-dac0-43e7-bd02-e637547c6aec · outbound

This paper cites Simplifying, regularizing and strengthening sum-product network structure learning , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Simplifying, regularizing and strengthening sum-product network structure learning , year =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.151458Z

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=arxiv_source observed=2026-08-15T21:46:14.716585Z digest=sha256:d7f179f5326335037054ba73e528a139a72b114dcb45f4b837b2f2572bc84b86

Observation e0416390-ab2e-47e2-99aa-cb74f969001a · outbound

This paper cites On the Relationship between Sum-Product Networks and Bayesian Networks , year =.

A Compositional Theory of Curvature in Probabilistic Circuits On the Relationship between Sum-Product Networks and Bayesian Networks , year =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.127958Z

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=arxiv_source observed=2026-08-15T21:46:14.722720Z digest=sha256:2739b1fb129c6af05cf508bb946b1a89423e9ab542c7a55422166093f3a355db

Observation ebf7ee39-931e-4fa6-8827-f35603f3461a · outbound

This paper cites Random Sum-Product Networks:.

A Compositional Theory of Curvature in Probabilistic Circuits Random Sum-Product Networks:

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.104504Z

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=arxiv_source observed=2026-08-15T21:46:14.728944Z digest=sha256:ec34a932de063c204eb6dbdb9348014d0bd78b5d5ae557ed4ffa1e5e4e40a41e

Observation b43eb5e3-dc1b-4f1f-b5f8-4dc91f6e340a · outbound

This paper cites Group Fairness by Probabilistic Modeling with Latent Fair Decisions , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Group Fairness by Probabilistic Modeling with Latent Fair Decisions , year =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.086079Z

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=arxiv_source observed=2026-08-15T21:46:14.736976Z digest=sha256:e815b591f10699a7a3ab24462d6a575c9a899ddcffde79b1d0c9b48bcf8c8208

Observation a8c8ca38-c3e9-41c6-aa5c-2ecb2d7d3929 · outbound

This paper cites Probabilistic sentential decision diagrams , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Probabilistic sentential decision diagrams , year =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.064281Z

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=arxiv_source observed=2026-08-15T21:46:14.742634Z digest=sha256:d0e58ad7f8f1b9465aad0bb3db3ef7e9d4f8d025f7f3a5f9f5fc713a1f910998

Observation 85de0b7a-feac-4798-bae8-db27b721d875 · outbound

This paper cites HyperSPNs: Compact and Expressive Probabilistic Circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits HyperSPNs: Compact and Expressive Probabilistic Circuits , year =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.046281Z

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=arxiv_source observed=2026-08-15T21:46:14.748466Z digest=sha256:696b070d3a81d974ca06e14ae0c3b1fe9af008a5cbc56ce67e5e93e1a9a0f8a5

Observation f1ea1fcc-1031-42d2-ab99-13b6c4907f81 · outbound

This paper cites On the relationship between monotone and squared probabilistic circuits , year =.

A Compositional Theory of Curvature in Probabilistic Circuits On the relationship between monotone and squared probabilistic circuits , year =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.025800Z

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=arxiv_source observed=2026-08-15T21:46:14.754050Z digest=sha256:0ec492cdf94edf6d3a7ad0569aaa334f1d6f4194a2f247a9ee43c3eddab55aec

Observation 28224a4d-a48e-4cf3-856a-e996115cf5c8 · outbound

This paper cites Domingos , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Domingos , bibsource =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:16.006624Z

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=arxiv_source observed=2026-08-15T21:46:14.760881Z digest=sha256:753ace745fa87a3a554741538e91d7ceeab138776485f250840a3e733b72a889

Observation f62196e7-ef7c-472d-b923-5135e70e0808 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , title =.

A Compositional Theory of Curvature in Probabilistic Circuits IEEE Transactions on Pattern Analysis and Machine Intelligence , title =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.987968Z

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=arxiv_source observed=2026-08-15T21:46:14.766209Z digest=sha256:d214793a2c36809ce47258c098de22a12ca8c195904687ec3b0a3d404d6cafc2

Observation 52bb7e38-79a2-4d3f-a709-a0f90b9e479a · outbound

This paper cites Machine Learning , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Machine Learning , title =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.971505Z

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=arxiv_source observed=2026-08-15T21:46:14.773150Z digest=sha256:64ef2f1e41ed2d013f8f4db11416d1d5d47211c0ad9ee332c9a2f11e7e9129c1

Observation 4f043920-a0de-4371-b2b8-c36099f385c4 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , title =.

A Compositional Theory of Curvature in Probabilistic Circuits IEEE Transactions on Pattern Analysis and Machine Intelligence , title =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.952030Z

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=arxiv_source observed=2026-08-15T21:46:14.780394Z digest=sha256:f1a9ebda830ecb96da12e84868909b0568f7fb6401bd5e27fcc011309328cc19

Observation 7195a999-35ff-49e6-80b1-756b0c5ab79a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.929757Z

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=arxiv_source observed=2026-08-15T21:46:14.787043Z digest=sha256:02bf353671ac29174d11511b3fea1eab180199b9a4e0dd257a596ab968902f4d

Observation dee69488-78b5-4947-898c-581081f8f10f · outbound

This paper cites an unresolved cited work.

A Compositional Theory of Curvature in Probabilistic Circuits Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:15.900683Z

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=arxiv_source observed=2026-08-15T21:46:14.792487Z digest=sha256:fb1b0552b46262a8b62e7d66c369f1fb215fb6f5aa45597ff4c0b49358ac359b

Observation e47da1f6-3d42-46ef-92a6-ff13e4f4aec3 · outbound

This paper cites AAAI Conference on Artificial Intelligence , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence , volume=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.883533Z

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=arxiv_source observed=2026-08-15T21:46:14.797466Z digest=sha256:70324ac2ca3c84b38ed0440a372cbd8fc2b5eb7575affba9d442bc3f3a9957f2

Observation ba8df711-583a-4d0a-b73b-3ffb18662dba · outbound

This paper cites Uncertainty in Artificial Intelligence , pages=.

A Compositional Theory of Curvature in Probabilistic Circuits Uncertainty in Artificial Intelligence , pages=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.862581Z

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=arxiv_source observed=2026-08-15T21:46:14.802468Z digest=sha256:1cbc224de25d8bec667188d394c173f23c018b4f4bed2daf0187ef66d2982289

Observation fc3b8d89-fc1e-47c4-be54-1e0aa3a4e6bc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems , volume=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.833690Z

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=arxiv_source observed=2026-08-15T21:46:14.808540Z digest=sha256:8c1a882290b9315b3adcbacdcfbe3b1fa3595388dc5f3c61834d5fb0615ba7cb

Observation 57319cd9-cb20-441a-9579-5883a47fba47 · outbound

This paper cites Nalisnick and Danilo Jimenez Rezende and Shakir Mohamed and Balaji Lakshminarayanan , journal=.

A Compositional Theory of Curvature in Probabilistic Circuits Nalisnick and Danilo Jimenez Rezende and Shakir Mohamed and Balaji Lakshminarayanan , journal=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.815101Z

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=arxiv_source observed=2026-08-15T21:46:14.814979Z digest=sha256:281d47c8e3a3c1b79dafb28e47af44fd0220674a105c2d74785e7aabf498e462

Observation d63adf40-1876-40f2-9304-f034587cf077 · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Stochastic Backpropagation and Approximate Inference in Deep Generative Models , year =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.796429Z

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=arxiv_source observed=2026-08-15T21:46:14.820472Z digest=sha256:039cbb6685526ffae971fe7ae45875f10ea94a42647fe3c54a5bfaf92b0077b1

Observation fbcb97b7-ffcc-404b-b233-ab17c49c9d5b · outbound

This paper cites Kingma and Max Welling , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Kingma and Max Welling , bibsource =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.775670Z

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=arxiv_source observed=2026-08-15T21:46:14.828311Z digest=sha256:4f8ca93778868e47004fdfc2b896d61e14757537921a0e243938a7088ee0478b

Observation cf02c09d-adb7-43a8-8b1d-88e5cdf6a0fa · outbound

This paper cites Goodfellow and Jean Pouget.

A Compositional Theory of Curvature in Probabilistic Circuits Goodfellow and Jean Pouget

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.740189Z

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=arxiv_source observed=2026-08-15T21:46:14.835975Z digest=sha256:abf7cce1db38007e6705fda634ae8d438282d2811cc2ea1a54de4da20a2e942d

Observation 00a6f602-ebdc-4463-90f7-0734d0f02b22 · outbound

This paper cites Scaling Tractable Probabilistic Circuits:.

A Compositional Theory of Curvature in Probabilistic Circuits Scaling Tractable Probabilistic Circuits:

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.716299Z

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=arxiv_source observed=2026-08-15T21:46:14.841689Z digest=sha256:49aa389b1e3753211671824016432d0aaef732381fb15bb7725cd6be7e705a90

Observation 794b04e5-f91a-48c3-8e56-22ad5ad5edb2 · outbound

This paper cites Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems, 2023 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems, 2023 , title =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.695110Z

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=arxiv_source observed=2026-08-15T21:46:14.846724Z digest=sha256:dbe65539180af88570652929d35fe9fc36649df98a9707eee1c733f17c4db3bf

Observation b0416551-5e76-45e8-ad1c-41ec3d5b4137 · outbound

This paper cites SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning Using Sum-Product Networks , year =.

A Compositional Theory of Curvature in Probabilistic Circuits SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning Using Sum-Product Networks , year =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.672889Z

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=arxiv_source observed=2026-08-15T21:46:14.852213Z digest=sha256:4fac6e95046e5e9e25153e3ba4c4d45e84a7c47422fdcec27b1c2f5458c17182

Observation a7f45f43-d228-4a12-bbe5-ba254bcf6b5e · outbound

This paper cites Learning Arbitrary Sum-Product Network Leaves with Expectation-Maximization.

A Compositional Theory of Curvature in Probabilistic Circuits Learning Arbitrary Sum-Product Network Leaves with Expectation-Maximization

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:46:15.148952Z

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=arxiv_source observed=2026-08-15T21:46:14.859393Z digest=sha256:79ef60ae21976e74df428a6de7fc288101986fb972cca4897d2e63b1fbfe97cc

Observation 79597361-cd13-40e8-ac5c-ef19f2b2c51c · outbound

This paper cites Gordon , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Gordon , bibsource =

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.655693Z

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=arxiv_source observed=2026-08-15T21:46:14.865328Z digest=sha256:c619c98c4551870b48191b4b462d2533fdf41acfacebe42e9eb23b0fe0141a4a

Observation 802307a7-8b1f-4068-a9fd-dfd009892f4b · outbound

This paper cites Domingos , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Domingos , bibsource =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.636037Z

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=arxiv_source observed=2026-08-15T21:46:14.869790Z digest=sha256:aef93d39a3ba28b9c5616cd8353aee7b5570a60e4451579e07a0d09413ed890b

Observation 0a606aca-58aa-45b6-9943-04b54c0196bf · outbound

This paper cites On the Sample Complexity of Learning Sum-Product Networks , year =.

A Compositional Theory of Curvature in Probabilistic Circuits On the Sample Complexity of Learning Sum-Product Networks , year =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.617077Z

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=arxiv_source observed=2026-08-15T21:46:14.874590Z digest=sha256:9a7603a73667f5aa461700349d528e08ad56ce7fc564b19b08a93f71d92bdb8e

Observation 67788376-ef22-4583-95e7-b90a9bfac2f6 · outbound

This paper cites Domingos , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Domingos , bibsource =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.600858Z

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=arxiv_source observed=2026-08-15T21:46:14.879289Z digest=sha256:e713f4074d8f60a430b43928bb769708dcc0be98db03419435460d23c253db1f

Observation d3f8ae36-cfeb-4f5c-8165-c87a67067fae · outbound

This paper cites Machine Learning , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Machine Learning , title =

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.583120Z

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=arxiv_source observed=2026-08-15T21:46:14.884725Z digest=sha256:4afaba41e5cc373ca4b00d13eba20c6b3516c661a2d8ca4b9ed014f06fcc2587

Observation 22960c84-5d8a-47b9-84e8-78a8ccb19ffa · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Journal of Statistical Mechanics: Theory and Experiment , title =

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.566381Z

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=arxiv_source observed=2026-08-15T21:46:14.889435Z digest=sha256:42490bb17de2f3de213147ab2cc01d5d9e4353ca1b058cb5ec319b67f154267b

Observation e54035d6-3060-4d7a-85a1-aa26b27941c9 · outbound

This paper cites Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference , year =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.548290Z

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=arxiv_source observed=2026-08-15T21:46:14.894457Z digest=sha256:bcd610a0af5c1adbf556798cf577d58ec7a5d7f4616cc1dcdcad2f4a98333c5c

Observation 0530cc11-02ef-47b8-8f45-9d2639045183 · outbound

This paper cites Deep Tractable Probabilistic Models , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Deep Tractable Probabilistic Models , year =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.527315Z

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=arxiv_source observed=2026-08-15T21:46:14.899798Z digest=sha256:1a6906d2b3dd7076360e9d34e5fe0f004d626a204397a3c273ceb3b4e6aa11b4

Observation e2ca840b-33f1-4488-8fa3-91697946f0b1 · outbound

This paper cites Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models , year =.

A Compositional Theory of Curvature in Probabilistic Circuits Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models , year =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.503645Z

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=arxiv_source observed=2026-08-15T21:46:14.905240Z digest=sha256:bbd4df56a5fed5f533f481e46c2977a7e6299119586d3f8603c8f7831b596146

Observation 9e66c637-53a1-4bae-bc83-e2b6209a126c · outbound

This paper cites Haas and Kristian Kersting and Sriraam Natarajan , booktitle =.

A Compositional Theory of Curvature in Probabilistic Circuits Haas and Kristian Kersting and Sriraam Natarajan , booktitle =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.482423Z

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=arxiv_source observed=2026-08-15T21:46:14.910358Z digest=sha256:c40ae2c04b5eef893b82d57ceb66423a8239aed69e2e79fb461719e9d6a0d072

Observation 1e5b01ed-fd1b-4d15-bb4a-27ff4abd92fb · outbound

This paper cites an unresolved cited work.

A Compositional Theory of Curvature in Probabilistic Circuits Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:46:15.462696Z

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=arxiv_source observed=2026-08-15T21:46:14.915087Z digest=sha256:890481e6cdc59b7dbdd4bf6b6948e3ef7aa9d3f61acd963666adfe4f5ca536cf

Observation 0547ebef-d45a-40d9-b19c-bd8030157cab · outbound

This paper cites AAAI Conference on Artificial Intelligence , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence , volume=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.445197Z

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=arxiv_source observed=2026-08-15T21:46:14.920046Z digest=sha256:6a334ef7eae58774850cbf03637f6af81a6985c67ab2df22afb7aeeafe98cd8f

Observation fcbd9fa3-741f-407b-b45b-750ba2215d4c · outbound

This paper cites Transactions on Machine Learning Research , issn=.

A Compositional Theory of Curvature in Probabilistic Circuits Transactions on Machine Learning Research , issn=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.426912Z

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=arxiv_source observed=2026-08-15T21:46:14.926777Z digest=sha256:d3f04a191f800b74b0f90976846682bb37a57d1b8c46a791bdec79d2acfdbeef

Observation fd098400-62e2-4e8c-87fc-0b31e50bf383 · outbound

This paper cites Chayes and Levent Sagun and Riccardo Zecchina , bibsource =.

A Compositional Theory of Curvature in Probabilistic Circuits Chayes and Levent Sagun and Riccardo Zecchina , bibsource =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.404194Z

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=arxiv_source observed=2026-08-15T21:46:14.933995Z digest=sha256:580e5edc5673e8df0c08bbd19f5ca451b04bdc681bab999e3c5904daa148ec7c

Observation 3902f5b0-b93f-4dcc-8fc9-456f2429dacb · outbound

This paper cites 29th International Conference on Machine Learning, 2012 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits 29th International Conference on Machine Learning, 2012 , title =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.386120Z

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=arxiv_source observed=2026-08-15T21:46:14.940225Z digest=sha256:b4284ebaee350c78d0a15bed8d74adbf716807872a43177c7e1d099a0e0444b4

Observation 7155ebc1-4d07-41fb-a5fd-5c3f348844a4 · outbound

This paper cites AAAI Conference on Artificial Intelligence, 2012 , title =.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence, 2012 , title =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.367619Z

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=arxiv_source observed=2026-08-15T21:46:14.947100Z digest=sha256:4a2bac4af2adc30e548155194e1d648ee0834ed61b0c4c4510c0d36833037fac

Observation 2f0440f9-47a4-4f0b-bf11-73caec0ad5a6 · outbound

This paper cites Journal of Machine Learning Research , title =.

A Compositional Theory of Curvature in Probabilistic Circuits Journal of Machine Learning Research , title =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.348186Z

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=arxiv_source observed=2026-08-15T21:46:14.954070Z digest=sha256:2a1a62af53c80aac56d661c48842d553c6f90936c797ec9388a27832a5746d70

Observation d1b50e50-f14c-40ff-9434-6fec02a48383 · outbound

This paper cites AAAI Conference on Artificial Intelligence , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence , volume=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.326959Z

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=arxiv_source observed=2026-08-15T21:46:14.959606Z digest=sha256:d1ec8a8f9aa1169e2e49f48c8ab16b4e890b67d9f25519de674b2fb4cafe09b0

Observation ba8c1a47-d423-4944-af00-8f5293a2738b · outbound

This paper cites AAAI Conference on Artificial Intelligence , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits AAAI Conference on Artificial Intelligence , volume=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.298298Z

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=arxiv_source observed=2026-08-15T21:46:14.965113Z digest=sha256:e9b26415b7db6190e66f9906c58f15bba6e53807c69e828c5122ad9c09a1f91e

Observation a8b4c1a4-9f6e-4423-a483-3d84d2a1a388 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

A Compositional Theory of Curvature in Probabilistic Circuits International Conference on Artificial Intelligence and Statistics , pages=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.276791Z

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=arxiv_source observed=2026-08-15T21:46:14.969891Z digest=sha256:0a6ff2d82ff9933549a0e817540688136a02df17beb6460fba9a6667a85dbd42

Observation 56f535dd-3956-425e-9545-0458a7da281e · outbound

This paper cites International Journal of Approximate Reasoning , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits International Journal of Approximate Reasoning , volume=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.256313Z

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=arxiv_source observed=2026-08-15T21:46:14.974508Z digest=sha256:e952843cac105ff3e3b84021b861afefe9ca67813771243d6c469ddf8b9bb697

Observation 969c69b0-c3d4-46ec-a71d-cf30f43fda29 · outbound

This paper cites Tractable Sharpness-Aware Learning of Probabilistic Circuits.

A Compositional Theory of Curvature in Probabilistic Circuits Tractable Sharpness-Aware Learning of Probabilistic Circuits

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T21:46:15.117698Z

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=arxiv_source observed=2026-08-15T21:46:14.979299Z digest=sha256:d2a8db2ae53aadf1de69deab43c17bea807bbd405b6619b49b114f995068fb60

Observation 93acf0db-9cec-4795-90b0-226ad81adb8a · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

A Compositional Theory of Curvature in Probabilistic Circuits International Conference on Artificial Intelligence and Statistics , pages=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.234171Z

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=arxiv_source observed=2026-08-15T21:46:14.986227Z digest=sha256:b1b97d86b67f113d31b8433f4c12f2462467cfd6db3a3c1715bd4de708f74b82

Observation 4d007c20-211c-4058-b8b1-77577ccc16cb · outbound

This paper cites 2026 , eprint=.

A Compositional Theory of Curvature in Probabilistic Circuits 2026 , eprint=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.206378Z

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=arxiv_source observed=2026-08-15T21:46:14.993268Z digest=sha256:357607b3a63f7a250a7c53186e9c74622ace7678d37930b681d381e08159e7cf

Observation 025c8b07-66fb-4053-ae8c-9df82c41b84b · outbound

This paper cites International Conference on Learning Representations , volume=.

A Compositional Theory of Curvature in Probabilistic Circuits International Conference on Learning Representations , volume=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.188584Z

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=arxiv_source observed=2026-08-15T21:46:14.998445Z digest=sha256:96ede813fc115b95f20a54889792c1bf342d186cfc3d3ebed163c53332b95755

Observation 5991d660-f043-4784-b712-45d94484797b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

A Compositional Theory of Curvature in Probabilistic Circuits Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 92

Resolution
verified exact
doi, observed 2026-08-15T21:46:15.079146Z

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=arxiv_source observed=2026-08-15T21:46:15.005085Z digest=sha256:75f11f0c05e6a70cbc51be0c44a5927755a72e4159a14ab3f2eb4ecc9d666415

Observation 3e2784de-a24c-469d-9f7d-c7d7b1fe383e · outbound

This paper cites ArXiv , year=.

A Compositional Theory of Curvature in Probabilistic Circuits ArXiv , year=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:15.170383Z

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=arxiv_source observed=2026-08-15T21:46:15.013750Z digest=sha256:67fb9c87300ce9f0a95780a5134f74057506d7df284c9194e92797b24faa5aad

Pith citing papers

No inbound Pith citation observations are available.