Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:18:00.686645Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2509.01763.
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 2026-08-05T12:18:00.686645Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 164157aa-2f34-49dd-bf54-1496bc982eea · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Unresolved cited work
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 28d3f911-274c-4440-b303-fd24deaaf87f · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Exploring roughness in left almost semigroups and its connections to fuzzy lie algebras
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8acbaeb9-5ede-4b2f-b0bf-92b895e25359 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning A Neural Network for Semigroups
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 68add44e-b532-4e29-bb2a-90d54bd672ed · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Random forests
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1772065d-4465-466d-b60a-02d223595609 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning DUE: A Deep Learning Framework and Library for Modeling Unknown Equations
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3e33b5a4-205a-40c8-8d2d-1ed92a789e1d · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Semigroup kernels on measures
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3cfec1b8-de21-47ba-8abb-d3d1a38cf43a · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning The semigroups of order 10
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5be04584-f5f5-4580-a24e-87d7a17d5fb8 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Semi-groups of stochastic gradient descent and online principal component analysis: properties and diffusion approximations
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bbe0813b-8bd6-4ffc-b576-75bd604855cc · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Prediction error certification for PINNs: Theory, computation, and application to Stokes flow
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0236781-430c-4169-aa28-dcf35a383e08 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Efficiently learning and sampling multimodal distributions with data-based initialization
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8e00699-6ad4-474d-8f14-0f6d488a1dd7 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Kostic, Karim Lounici, H´ el` ene Halconruy, Timoth´ ee Devergne, Pietro Novelli, and Massimiliano Pontil
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 551a79f4-f1f2-4729-bf1f-995e00936d3b · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning A semigroup method for high dimensional committor functions based on neural net- work
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7d91fe98-89d5-446e-b917-eee2f637e692 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Mace4 reference manual
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 94c429ab-6e9b-4065-9cf0-f0335e6280bf · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Random forest tutorial
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 73b1acc5-f06a-43f0-98c2-4c84da3e9a47 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Is deep learning a useful tool for the pure mathematician?
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1130b864-8f36-4203-bdc0-e2e279477e68 · outbound
A Hybrid Framework for Healing Semigroups with Machine Learning Understanding oversmoothing in diffusion-based gnns from the perspective of operator semigroup theory
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
No inbound Pith citation observations are available.