Pith. sign in

Paper Citation Record · LEDGER

Automated Manifold Learning for Reduced Order Modeling

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.01741.

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

pith.paper-citation-record.v1
2506.01741 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:20.907579Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:22:39.302334Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T14:24:44.898475Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy30
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3dfa830-3cd3-4f22-a11f-10f4fe54906b · outbound

This paper cites Discovering governing equations from partial measurements with deep delay autoencoders.

Automated Manifold Learning for Reduced Order Modeling Discovering governing equations from partial measurements with deep delay autoencoders

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.531824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:18.812068Z digest=sha256:e6f51ec478875d7e875b1b4db2d46aef7f3bde72d110bc600b8e851471b7066c

Observation 79976452-53e3-42cb-a9c5-f757d05c8d13 · outbound

This paper cites Laplacian eigenmaps for dimensionality reduction and data representation.

Automated Manifold Learning for Reduced Order Modeling Laplacian eigenmaps for dimensionality reduction and data representation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.516408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.394566Z digest=sha256:c363bba57906982bed2ca122c2d49d0ea9e8c61d8136e220067b94c6122ef73b

Observation 8b711454-b069-49eb-9cb1-f8986340f608 · outbound

This paper cites Random search for hyper-parameter optimization.

Automated Manifold Learning for Reduced Order Modeling Random search for hyper-parameter optimization

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.502407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.425515Z digest=sha256:5a49b9be8804ef6441ed6ce5901a7b852dceb0a303aec6d34f9866c2668e19dd

Observation 09151efb-45a9-4c6f-8f33-ce719a178d2b · outbound

This paper cites an unresolved cited work.

Automated Manifold Learning for Reduced Order Modeling Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T11:41:20.972217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.447825Z digest=sha256:b920e9b83479afc7a3c33750e8f3fa7ee15f63489fe720526e69b342d44523e4

Observation 5dd2d7fc-c88f-44a9-a16b-e4ed3caf6276 · outbound

This paper cites Free surface flows past surfboards and sluice gates.

Automated Manifold Learning for Reduced Order Modeling Free surface flows past surfboards and sluice gates

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.486919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.485467Z digest=sha256:926412ed668b4bbd6b66a519a84cd0edccc1165707b5fc25b6d47ebc1d9b2d74

Observation 65950411-c2a0-4e7b-bd45-1fdba2425dcb · outbound

This paper cites Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching.

Automated Manifold Learning for Reduced Order Modeling Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.472453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.523002Z digest=sha256:566ab581b7042a8a9b5eb373a5617b5d3df2c5d64bbda6b43ae39df8b84631ae

Observation b2b37a6a-12bb-49e7-8815-38f10f7651ea · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.

Automated Manifold Learning for Reduced Order Modeling Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.570493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.570493Z digest=sha256:3f063a469009e5b83fb891aa44b1b9c166b501c4ea9c8c56cda39e9794ab563c

Observation 79ce96bb-b4a5-41fe-b2e1-401c9b397ab4 · outbound

This paper cites Data-driven discovery of coordinates and governing equations.

Automated Manifold Learning for Reduced Order Modeling Data-driven discovery of coordinates and governing equations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.448773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.622688Z digest=sha256:7e155cf600ea3cc63cf4b81c331115dbe3f1d0147c9b9519adbc177457716211

Observation e224f2f1-79d4-4ad6-aee9-0cd556c24672 · outbound

This paper cites An introduction to topological data analysis: Fundamental and practical aspects for data scientists.

Automated Manifold Learning for Reduced Order Modeling An introduction to topological data analysis: Fundamental and practical aspects for data scientists

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.431354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.662331Z digest=sha256:f87c6786365b0a79729dbfdacb187e922c010d787077e3b3d02f00bf3dd7b2b9

Observation d3925feb-aa2d-4443-8daa-f904a48562eb · outbound

This paper cites Geometric NeuralPDE ( GNPnet ) Models for Learning Dynamics.

Automated Manifold Learning for Reduced Order Modeling Geometric NeuralPDE ( GNPnet ) Models for Learning Dynamics

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.417329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.706759Z digest=sha256:d1f00542d1f9ee5f192c253199fa58f1b179c33f3dcf1d6de7f7d00c2e1f1530

Observation 6eb50ed8-a864-4e4e-99f7-e66677030057 · outbound

This paper cites Dynamics from noisy data with extreme timing uncertainty.

Automated Manifold Learning for Reduced Order Modeling Dynamics from noisy data with extreme timing uncertainty

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.402807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.741180Z digest=sha256:b0488136b7cb507b22c521cf1360ebe327a68b1d20107b8c7f117166aa271075

Observation 7ed81435-6905-4c71-9b91-5ffda7e929e9 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Automated Manifold Learning for Reduced Order Modeling node2vec: Scalable feature learning for networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.387799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.745465Z digest=sha256:225896febaac5b0300ec1ffe9c79d27edefbae776ec0bb0cef84630352d136bc

Observation 7be24101-de77-45c0-8579-6597b73dae68 · outbound

This paper cites Inductive representation learning on large graphs.

Automated Manifold Learning for Reduced Order Modeling Inductive representation learning on large graphs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.749560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.749560Z digest=sha256:c82f5ce7d3a13dbb5a87a04cffe4dda64329a24c6e7801df8aabe30752452116

Observation 6a4bd3a3-4396-4be1-b961-4acdaf838fce · outbound

This paper cites Exact solution of the sine-gordon equation for multiple collisions of solitons.

Automated Manifold Learning for Reduced Order Modeling Exact solution of the sine-gordon equation for multiple collisions of solitons

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.362474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.754064Z digest=sha256:71e98e929ac88affb304daa7ea3199de1cec03af995d09de4ee4b71fa7abd190

Observation 7bb1ee11-f5ea-4d7c-8395-dfc8c0ecfbfe · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

Automated Manifold Learning for Reduced Order Modeling Sequential model-based optimization for general algorithm configuration

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.346729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.759706Z digest=sha256:87ac17dbd1032aaf2eb19f9415960903f39c894e5656619e5cb8ff84566d0f26

Observation 8f64acba-1acd-436a-aa4e-4435e1820f14 · outbound

This paper cites Kipf and Max Welling.

Automated Manifold Learning for Reduced Order Modeling Kipf and Max Welling

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.329096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.765594Z digest=sha256:961626b948d4afa674bd28d5a15eef0202a6147464bc511b325c9189c9b19ccb

Observation aa11918b-a45d-4f39-bb8a-31541755b5da · outbound

This paper cites Reconstructing phase space from pde simulations.

Automated Manifold Learning for Reduced Order Modeling Reconstructing phase space from pde simulations

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.314999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.770818Z digest=sha256:fc9106c8bc5d865e1570e71807ecf1339d1ac2b247ed83d031217e9a7cadebcb

Observation c253724e-0353-4c04-bcaf-b75c86208296 · outbound

This paper cites Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis.

Automated Manifold Learning for Reduced Order Modeling Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.298593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.776134Z digest=sha256:612981dd29911a1917e44fc74fbe3136708c75e3c6552b48fbcb72aea323c217

Observation dc7a13bc-a490-47f5-9357-778ead8d318e · outbound

This paper cites Diffusion-Induced Chaos in Reaction Systems.

Automated Manifold Learning for Reduced Order Modeling Diffusion-Induced Chaos in Reaction Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.781347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.781347Z digest=sha256:013463e0835c00e88abce07b2b80909d428d756ba9adc64bba857f28a5835a59

Observation d4b58cdd-41f0-48b2-a994-0f4f38104320 · outbound

This paper cites Lee and Michel Verleysen.

Automated Manifold Learning for Reduced Order Modeling Lee and Michel Verleysen

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.282647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.785675Z digest=sha256:627c5f0ee0bec1121bc20df04ff5a75ac359be156718673b1dc56294dfbc774f

Observation 1b1adc9b-cd3c-4aed-a656-350e9634071a · outbound

This paper cites Identifying the latent space geometry of network models through analysis of curvature.

Automated Manifold Learning for Reduced Order Modeling Identifying the latent space geometry of network models through analysis of curvature

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.268948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.790751Z digest=sha256:89e2cff72773e264b64e8e266e1d61cfb67efbd2f1911ba3dab789b0c697edc9

Observation 4f3d141e-d7f8-4847-a4b4-0ccec4558027 · outbound

This paper cites Deep learning for universal linear embeddings of nonlinear dynamics.

Automated Manifold Learning for Reduced Order Modeling Deep learning for universal linear embeddings of nonlinear dynamics

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.795694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.795694Z digest=sha256:a2298db44b36127e46211d65d1d5f89b36dc01ea58e8e26838859a01ad158011

Observation 8dca6912-d47f-44a0-9f03-d804dd6fa90d · outbound

This paper cites Muñoz Sabater.

Automated Manifold Learning for Reduced Order Modeling Muñoz Sabater

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.801128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.801128Z digest=sha256:3388dba95fb01b5c134413f41bd27e33f03677c93817fa5a35f64e1335eab16f

Observation 22df9e7e-89f2-4305-a4d0-e1f9c4db3672 · outbound

This paper cites Using neural implicit flow to represent latent dynamics of canonical systems.

Automated Manifold Learning for Reduced Order Modeling Using neural implicit flow to represent latent dynamics of canonical systems

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.243816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.805978Z digest=sha256:63ff0f35ed0977aacc721114448f235624c22dc80ec4b03e5429f14506a0cb43

Observation 1145337c-94e1-4db7-985a-0d49d31c98fc · outbound

This paper cites Dynamically meaningful latent representations of dynamical systems.

Automated Manifold Learning for Reduced Order Modeling Dynamically meaningful latent representations of dynamical systems

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.229935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.811507Z digest=sha256:8a53cd667706fc8edbfd781e512d35db13bf9ebe8bb8aecf4257b93758515345

Observation 037552a1-833a-4006-a65c-066ae33fc4b6 · outbound

This paper cites Learning reduced order dynamics via geometric representations.

Automated Manifold Learning for Reduced Order Modeling Learning reduced order dynamics via geometric representations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.215245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.817052Z digest=sha256:d7f03a6ae4350803477b4f907777db9dfacf0577084c55385a194f6309dd719e

Observation e07569b3-8e75-4c60-8f76-adfbf7f11bc2 · outbound

This paper cites Otto and Clarence W.

Automated Manifold Learning for Reduced Order Modeling Otto and Clarence W

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.200827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.821980Z digest=sha256:20caa9125f7a5cf1a90f02a329162c7a0bef2770fda850d9dcff71da9644643e

Observation 4f545fe3-4706-464e-8da1-8617560c3dc4 · outbound

This paper cites Pedregosa, G.

Automated Manifold Learning for Reduced Order Modeling Pedregosa, G

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.829031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.829031Z digest=sha256:0ff63fd943df4046ac8e6e91d0de73beb0e55d67491318da316a28ae46681e19

Observation 217815ce-6cd7-45fb-b570-6df124984970 · outbound

This paper cites Deepwalk: Online learning of social representations.

Automated Manifold Learning for Reduced Order Modeling Deepwalk: Online learning of social representations

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.174587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.834413Z digest=sha256:8fee4e2d339b6c85ebeff34a883a5ceba8230f4fb014b7a13df1a303f300878a

Observation b0473d06-6a6f-49b2-a22e-57c9931a04cb · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding.

Automated Manifold Learning for Reduced Order Modeling Nonlinear dimensionality reduction by locally linear embedding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.839603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.839603Z digest=sha256:48e4ab6e743ef76e56791443e61d9ffcd4a0a25b678c7bffdb88814a553437d3

Observation f2e6e319-cee4-4102-a988-85e6e8603fff · outbound

This paper cites Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs.

Automated Manifold Learning for Reduced Order Modeling Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.151558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.843979Z digest=sha256:7e8d9783ccb39f4bf10f8b8ac98a9cfd87f7e796567ae33ce565face16fcb746

Observation fe1580cd-7e6b-4a93-a748-72fe1969854f · outbound

This paper cites Normalized cuts and image segmentation.

Automated Manifold Learning for Reduced Order Modeling Normalized cuts and image segmentation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.135072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.850037Z digest=sha256:498d51455a478c1dd5afe68aebff765bad6ff0377ae053bdbacce4e35285eb6a

Observation 5c24bf8a-3bf1-4ab4-8b97-e6a6b1cc642c · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

Automated Manifold Learning for Reduced Order Modeling Practical bayesian optimization of machine learning algorithms

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.856014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.856014Z digest=sha256:eed961483a5a521cab784ac3697366dd2cae09bcd99bf5061befe4364bd77965

Observation 74494b25-30bf-4491-bc02-611389d35f38 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction.

Automated Manifold Learning for Reduced Order Modeling A global geometric framework for nonlinear dimensionality reduction

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.860836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.860836Z digest=sha256:2088c7491d62847fe3c14c222b0dde6b3e244828a817029471ad7988b40bedd3

Observation c1136a91-f2d1-4281-b447-6ba45a5faa2b · outbound

This paper cites Autone: Hyperparameter optimization for massive network embedding.

Automated Manifold Learning for Reduced Order Modeling Autone: Hyperparameter optimization for massive network embedding

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.102030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.866216Z digest=sha256:6d17b0d8bf0b75ed21ff99dcfecbe5371516adaed202e8545aa157579f1fb796

Observation e6649024-7805-494a-b8ab-1820988ffdfb · outbound

This paper cites Graph attention networks.

Automated Manifold Learning for Reduced Order Modeling Graph attention networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.087669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.871863Z digest=sha256:91ccc15199ce066a8f9f99f888dc640fb3353c3f3f8bf36d08bd34fc5e019c4c

Observation 63ca8ae4-8ede-4e52-a9f9-1a9b409e9a97 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

Automated Manifold Learning for Reduced Order Modeling Dynamic graph cnn for learning on point clouds

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.073408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.877241Z digest=sha256:18f25f0265802f2434a82637c94f7b23adaa0e5ff34f2d4cfead16f329bbfe88

Observation 5a375a08-a4bc-4349-9d22-54c46000c1b5 · outbound

This paper cites Neighborhood growth determines geometric priors for relational representation learning.

Automated Manifold Learning for Reduced Order Modeling Neighborhood growth determines geometric priors for relational representation learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.059503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.882465Z digest=sha256:57bb47eeadc6d9cefef73346d688622796317f8b9d3c949a3649b1406529eb9d

Observation 9dd304e8-394d-4468-b898-162a778dca21 · outbound

This paper cites Exponential time-differencing with embedded runge--kutta adaptive step control.

Automated Manifold Learning for Reduced Order Modeling Exponential time-differencing with embedded runge--kutta adaptive step control

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.044371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.888667Z digest=sha256:b378d0258e70a1a99240e66d4eb38f66a62e93136ccffc50fd5130c8f2d7d75c

Observation 8627097f-5490-4cd0-b116-42bd0f592a25 · outbound

This paper cites Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.

Automated Manifold Learning for Reduced Order Modeling Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:41:21.011176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.894288Z digest=sha256:180ee40c33b896fb4cc03973146bebbca513e04586ed84b565613083bf45a0b5

Observation bfb1f52f-1f1d-4252-9f62-3dc7f0d24237 · outbound

This paper cites Tabnas: Rejection sampling for neural architecture search on tabular datasets.

Automated Manifold Learning for Reduced Order Modeling Tabnas: Rejection sampling for neural architecture search on tabular datasets

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:41:21.027158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T11:41:20.900529Z digest=sha256:98a641822feebb13ed9a487845626bb263ee753d31b221247b0f57ecec88988a

Observation e46ad19c-e018-430b-b961-b22ebc310c2e · outbound

This paper cites Automated Machine Learning on Graphs: A Survey.

Automated Manifold Learning for Reduced Order Modeling Automated Machine Learning on Graphs: A Survey

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:20.907579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:41:20.907579Z digest=sha256:2dd19ebf7ec0e9b774b6d2e778a6b609bbe0835c44ce1e52f4bac5525b432190

Pith citing papers

Observation 7c385973-1202-4983-87e5-64eeeb58259f · inbound

MEDAL: Manifold Embedding Distillation via Autoencoder Learning cites this paper.

MEDAL: Manifold Embedding Distillation via Autoencoder Learning Automated Manifold Learning for Reduced Order Modeling

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:44.900000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T14:22:39.302334Z digest=sha256:2c943c83a8c2d2ba4637b1b1dbab68138d26815defeaeaf73482e90ab813999e