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Paper Citation Record · LEDGER

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry

As of 23 July 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2603.01168.

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

pith.paper-citation-record.v1
2603.01168 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T17:53:24.803856Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+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

41 of 41 outbound references displayed

  • verified exact8
  • verified fuzzy33
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d64f3712-7fe3-4703-affd-b8adeaa9df5c · outbound

This paper cites Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes.Nature communications, 14(1):1605.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes.Nature communications, 14(1):1605

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.819938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation e654a1c1-6412-4af4-933b-c7b7f9b2411b · outbound

This paper cites Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling

Reference 2

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.108874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation 07b8a18d-7a34-44f8-8e3e-75a80dd01d9a · outbound

This paper cites A survey on hypergraph neural networks: An in-depth and step-by-step guide.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry A survey on hypergraph neural networks: An in-depth and step-by-step guide

Reference 3

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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 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:ab8ceb1cad95555d1bb91ca3a04dbf9ce088058e5e1b41c0c44b8d4c58a691d6

Observation 6cd661c2-c854-4d64-a9a2-95bdc57d1644 · outbound

This paper cites Clustering on the unit hypersphere using von mises-fisher distributions.Journal of Machine Learning Research, 6(9).

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Clustering on the unit hypersphere using von mises-fisher distributions.Journal of Machine Learning Research, 6(9)

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.727444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:9a9abc0e6abebc1d0740926a8f0d4232f4a13c7b013f7d8726737bbfc32d7e6c

Observation ea7e7855-0789-466b-a5d6-07926f80a2a2 · outbound

This paper cites Spherical Message Passing for 3D Graph Networks.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Spherical Message Passing for 3D Graph Networks

Reference 5

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.102120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation b4964783-4461-4f37-a3b7-123efbfd09f8 · outbound

This paper cites Spherical message passing for 3d molecular graphs.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Spherical message passing for 3d molecular graphs

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.824633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:5b9d67740da9ff50d4ad634eee76383593803c64b447aa7c5dc3f20640df249f

Observation 0c7088b6-d965-4312-80a5-4dde44d6bf8d · outbound

This paper cites Estimating epistemic and aleatoric uncertainty with a single model.Advances in Neural Information Processing Systems, 37:109845–109870.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Estimating epistemic and aleatoric uncertainty with a single model.Advances in Neural Information Processing Systems, 37:109845–109870

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.829209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:bceab2962f74eb70f75ea47d566aa975ad201f10596f3e05dc4c89b2d8853052

Observation 67833541-c11c-4a4b-93af-481ba2c5f8b5 · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 8

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raw_fallback, observed 2026-05-15T17:56:25.833372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:7bf18fd50e628399caf0b5a80b23126107c4618642fbfcae7ae5d4233a4f74ca

Observation 1119888c-3ac3-4db6-801c-15c2b623b55a · outbound

This paper cites Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty

Reference 9

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.147548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation 5bc96f04-ff69-4a58-94ee-b8b50e3a5aa4 · outbound

This paper cites Learning conditional granger causal temporal networks.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Learning conditional granger causal temporal networks

Reference 10

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raw_fallback, observed 2026-05-15T17:56:25.801184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:47e162c2ff4eb28694235219f9bd94f3c8449750a9669eea55f1dc3fabd3b288

Observation ef54f9c1-bf3e-490f-946a-f45c52206653 · outbound

This paper cites Causal inference under networked interference and intervention policy enhancement.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Causal inference under networked interference and intervention policy enhancement

Reference 11

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raw_fallback, observed 2026-05-15T17:56:25.851239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation 2c446ef0-2dd5-4dc1-8f76-668595182255 · outbound

This paper cites Causal Inference under Network Interference Using a Mixture of Randomized Experiments.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Causal Inference under Network Interference Using a Mixture of Randomized Experiments

Reference 12

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.114944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

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Observation 56cdf23a-da46-4b85-befc-130beca031ee · outbound

This paper cites Deep clustering analysis via dual variational autoencoder with spherical latent embeddings.IEEE Transactions on Neural Networks and Learning Systems, 34(9):6303–6312.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Deep clustering analysis via dual variational autoencoder with spherical latent embeddings.IEEE Transactions on Neural Networks and Learning Systems, 34(9):6303–6312

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.796831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:6ebdea298c66cf32769ab1d8f5f4d29ef8b2d10857305178d144cb9630c43ccd

Observation adfd309e-1cf0-43e1-930d-2f7ea3c92266 · outbound

This paper cites Ma-dpr: Manifold-aware distance metrics for dense passage retrieval.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Ma-dpr: Manifold-aware distance metrics for dense passage retrieval

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.805754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:a368b3747df2e1a6ccae24e4fe09dfad517a8fe7b2a14800b4f5c7d2f089bb9f

Observation b19617e2-a2ab-44f1-9001-c6ffbc77cb53 · outbound

This paper cites Enhancing diversity in bayesian deep learning via hyperspherical energy minimization of cka.Advances in Neural Information Processing Systems, 37:138365–138392.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Enhancing diversity in bayesian deep learning via hyperspherical energy minimization of cka.Advances in Neural Information Processing Systems, 37:138365–138392

Reference 15

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raw_fallback, observed 2026-05-15T17:56:25.855869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:47dc583e635be6e4a9b55556dcbfa89a2476599a34faf1288b6d0db2ac813624

Observation 0a79a309-ab4d-4a3f-8d0f-03c732389ec2 · outbound

This paper cites A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.Neurocomputing, 489:449–465.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.Neurocomputing, 489:449–465

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.846618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:ad4da821cb9d6b97488a18b725f24360e48a25bfc22489e7a413a44ff4d8629d

Observation bb70d957-5372-484f-92d1-d795ac4955ae · outbound

This paper cites Calibrated and sharp uncertainties in deep learning via density estimation.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Calibrated and sharp uncertainties in deep learning via density estimation

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.786655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:0f5e6c50d8dc37bbd7c44bf04c9058c4eb6ecab81da14524b064884c5de4f4a4

Observation cf330c50-88fd-4f52-94fc-b32dd384eb38 · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 18

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.837466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:656810f7d9c1c1c84ed99236fd3a120ef8f1fca4e18003b20aadb9f404e5ed88

Observation c71f20d9-d3d1-445d-ab43-e6ad09f43228 · outbound

This paper cites Ua-fusion: Uncertainty-aware multimodal data fusion framework for 3d object detection of autonomous vehicles.IEEE Transactions on Instrumentation and Measurement.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Ua-fusion: Uncertainty-aware multimodal data fusion framework for 3d object detection of autonomous vehicles.IEEE Transactions on Instrumentation and Measurement

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.841957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:7b0df6010e247c33e6a70eb422aae9184c406d6ff2af6ce82ff272aabf513510

Observation 72ed154d-bd95-4f0a-b6e4-2c2839dbbda2 · outbound

This paper cites vmf-contact: Uncertainty-aware evidential learning for probabilistic contact-grasp in noisy clutter.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry vmf-contact: Uncertainty-aware evidential learning for probabilistic contact-grasp in noisy clutter

Reference 20

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.782068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:8153787cd36beaa9d94c981153058dc6ce4a5609d94176b760963a190a3809e0

Observation b5a73a31-5c31-4548-8aa2-ff5267fbbb8f · outbound

This paper cites Hypergraph and uncertain hypergraph representation learning theory and methods.Mathematics, 10(11):1921.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Hypergraph and uncertain hypergraph representation learning theory and methods.Mathematics, 10(11):1921

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.792074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:7efd32c15f1088fafa8a36f4f961185a6e3671c4f61b35964dbe813642af5756

Observation db5267e0-a51e-46b5-8ac5-a4c07c7be15e · outbound

This paper cites Hyperdne: Enhanced hypergraph neural network for dynamic network embedding.Neurocomputing, 527:155–166.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Hyperdne: Enhanced hypergraph neural network for dynamic network embedding.Neurocomputing, 527:155–166

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.810586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:d3e604fca32a9d9ec6c55e2edc594a093229e0903fe7d7c1d583dc28d8fe19d9

Observation 4d533ee7-b61b-4bd5-b00f-e00a2a9c7d3a · outbound

This paper cites Using embeddings for causal estimation of peer influence in social networks.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Using embeddings for causal estimation of peer influence in social networks

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.768312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:5c65724adbe502fea750b0f09ea92ce0ab2190791072862aae38745366a8dc29

Observation f162324c-74e1-40d1-973d-81526762ae89 · outbound

This paper cites From news to returns: A granger-causal hypergraph transformer on the sphere.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry From news to returns: A granger-causal hypergraph transformer on the sphere

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.772856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:69591bc15bcb8131029fd7900052593eb3f114a6bf5f8b3a6aed96ea5ce6cebd

Observation 0ed831fb-6ddb-4737-9794-c87ba93b3b5b · outbound

This paper cites Causal Spherical Hypergraph Networks for Modelling Social Uncertainty.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Causal Spherical Hypergraph Networks for Modelling Social Uncertainty

Reference 25

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.121773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:1f1a2efc5e726a6b70eaef9ee6c0f71a1e879f6fc7a79aa71ad236ad5b99213e

Observation bf99c620-e848-45a9-8314-ccaa929d3488 · outbound

This paper cites Geodesic Causal Inference.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Geodesic Causal Inference

Reference 26

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verified exact
arxiv_id, observed 2026-07-01T02:17:14.992440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:24b1f3a90f50b654bf532551ed4685673fc92c57bfc8584a79266787d906374b

Observation 96037934-c7cc-4f8f-9d55-73233065806f · outbound

This paper cites Robust Multi-Agent Reinforcement Learning with State Uncertainty.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Robust Multi-Agent Reinforcement Learning with State Uncertainty

Reference 27

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.128021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:334cc8bc51571a4d4e7d891589b457ae7e9e807648f9914124801e237c03be5f

Observation 60bb1d42-4977-4700-a32a-e488fe024d55 · outbound

This paper cites A survey of geometric optimization for deep learning: From euclidean space to riemannian manifold.ACM Computing Surveys, 57(5): 1–37.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry A survey of geometric optimization for deep learning: From euclidean space to riemannian manifold.ACM Computing Surveys, 57(5): 1–37

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.759584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:49fe9f375f2fd76116743b2be54aaaf41eb0505688f5bf572a86eac1deda0544

Observation 5799dd94-2057-43fa-896a-bf75e77a9116 · outbound

This paper cites A solution for the mean parametrization of the von Mises-Fisher distribution.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry A solution for the mean parametrization of the von Mises-Fisher distribution

Reference 29

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verified exact
arxiv_id, observed 2026-05-15T17:56:25.134310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:bc16e6990a91685cf31924323d7721e74afbbe89d586f9f23ed7f639ff4cac24

Observation f23fb9f6-847d-4c19-81a5-3e6381febb04 · outbound

This paper cites Snare: a link analytic system for graph labeling and risk detection.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Snare: a link analytic system for graph labeling and risk detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.864649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:d860736267bd33569e5bff55712671a749c8d00b36fe01a9ab2d985e4ba4f046

Observation a4231f45-aca7-48f3-9b9d-d126d4c823bf · outbound

This paper cites Identifying possible rumor spreaders on twitter: A weak supervised learning approach.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Identifying possible rumor spreaders on twitter: A weak supervised learning approach

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.755066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:51e3559e48b60f69a98082a5286848fca703b6d8646c3cbf13a6f4f973028b8a

Observation 3df48883-5d83-4a3d-98a4-f73036c1fb10 · outbound

This paper cites Amigos: A dataset for affect, personality and mood research on individuals and groups.IEEE transactions on affective computing, 12(2): 479–493.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Amigos: A dataset for affect, personality and mood research on individuals and groups.IEEE transactions on affective computing, 12(2): 479–493

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.763934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:94dfb1067b143df67022c764f3dec9f5accb59bb050c49e5d6aa97c5066fd5e0

Observation b501af12-be72-4c51-95bb-fe45861c5f2f · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs.Advances in neural information processing systems, 32.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Hypergcn: A new method for training graph convolutional networks on hypergraphs.Advances in neural information processing systems, 32

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.777645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:a8ce41a2bf764633960e29ce3b519b549e2e86ac76ec6f110c167148070bc627

Observation 0697a38f-b4f6-43b6-bfdc-0ff66c0d2308 · outbound

This paper cites Self-supervised hypergraph representation learning for sociological analysis.IEEE Transactions on Knowledge and Data Engineering, 35(11):11860–11871.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Self-supervised hypergraph representation learning for sociological analysis.IEEE Transactions on Knowledge and Data Engineering, 35(11):11860–11871

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.750358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:99e1c4cdcbd01fe1214bf0135e44f4d057c481afb1bc844eb03fb6d57adcfbb6

Observation 75412cb9-bebf-4d06-b20a-7c4587617941 · outbound

This paper cites Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.Neural Networks, 172:106147.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.Neural Networks, 172:106147

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.860344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:9b398fd50630beb47cb07c32c4293ec9e4837a33af4975c9bff8de97cdeed3b0

Observation 9371deab-02f2-4d05-9e3a-71ccf51e09f6 · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.722651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:6946356e12f43878b5232f7409be740fb64d469383d9176fda8e9252d3939ca2

Observation d169db7d-ad28-4183-bd99-fb6fbc5bf45f · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.741455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:7d89705d4d870072cf691cce728f5a46f493e341e6622b8031ac92701dd0871a

Observation 7921e7a6-7424-4157-8531-1ee279966a19 · outbound

This paper cites Proof.We prove the three items in order.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Proof.We prove the three items in order

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.745610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:7755680f637e5766f85be7c635e7ebb081bfc458c826fcb554869f42016899c1

Observation 2b097aa6-894f-4775-bfde-99877e3cc579 · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.731652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:5cdfbc0a22f9d93c39b6ddcb5fa2398a861405b0c18254c54e7d40650de4e89f

Observation d4669f82-1698-4076-914c-f8c99f8f5ac1 · outbound

This paper cites Figure 4: Reliability diagram for AMIGOS: predicted confidence versus observed accuracy.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Figure 4: Reliability diagram for AMIGOS: predicted confidence versus observed accuracy

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.718035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:dbbc587c4c9dc7bbebc4043e142348629aa34a49f2ca14d90b8eb914fd92fc4c

Observation 70b4c96c-8741-45a9-9fe4-aa9da3a0da67 · outbound

This paper cites an unresolved cited work.

SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry Unresolved cited work

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:56:25.736934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-05-15T17:53:24.803856Z digest=sha256:69a08e3b9f6f16a75befac8167cdf35d1742b46e05dfe50776c893825eaccddf

Pith citing papers

No inbound Pith citation observations are available.