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Paper Citation Record · LEDGER

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.21189.

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

pith.paper-citation-record.v1
2507.21189 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:49:23.091792Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ccfe976-9d37-4238-8858-355eef41528e · outbound

This paper cites Mallat, A Wavelet Tour of Signal Processing , Academic Press, 1999.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Mallat, A Wavelet Tour of Signal Processing , Academic Press, 1999

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 336a973b-2298-4430-a7a8-802715c9febb · outbound

This paper cites Group Invariant Scattering,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Group Invariant Scattering,

Reference 2

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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 2026-08-18T06:34:40.430872+00:00.

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Observation b7f2fc57-35a9-4a84-b1e8-ff496823e622 · outbound

This paper cites Invariant Scattering Convolution Networks,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Invariant Scattering Convolution Networks,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 371bb76c-b547-43cb-b2a7-4e777edac3fd · outbound

This paper cites Deep Scattering Spectrum,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Deep Scattering Spectrum,

Reference 4

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raw_fallback, observed 2026-08-15T17:49:23.395598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1e113db8-11a7-49e2-bc9d-f87535078437 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Spectral Networks and Locally Connected Networks on Graphs,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T17:49:23.383701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4eae4e00-59a1-4204-b2c4-d3053bfd15ce · outbound

This paper cites Deeper Insights into Graph Convolutional Networks for Semi- Supervised Learning,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Deeper Insights into Graph Convolutional Networks for Semi- Supervised Learning,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d2ff4a0c-5497-4812-a9e0-a170634e7949 · outbound

This paper cites Fourier Neu- ral Operator for Parametric Partial Differential Equations,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Fourier Neu- ral Operator for Parametric Partial Differential Equations,

Reference 7

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raw_fallback, observed 2026-08-15T17:49:23.359610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 50cd3471-71cb-499e-add2-ee8cf383c6e8 · outbound

This paper cites Misspelling Semantics In Thai.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Misspelling Semantics In Thai

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bb6ee6ca-dd58-46ae-99a5-23b3e4818317 · outbound

This paper cites From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fe0f8e38-5b5c-4c3e-8484-cb3af3dfdc99 · outbound

This paper cites A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4256ff67-f090-46d4-9806-0de79625bdf0 · outbound

This paper cites an unresolved cited work.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Unresolved cited work

Reference 11

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c87e6d1c-281d-4519-ab61-a599efea5d6a · outbound

This paper cites Deep Learning for Universal Linear Embeddings of Nonlinear Dynamics,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Deep Learning for Universal Linear Embeddings of Nonlinear Dynamics,

Reference 12

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raw_fallback, observed 2026-08-15T17:49:23.313880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f2fa4451-4491-4345-a8a6-b7aac1182614 · outbound

This paper cites Gradient-Based Learning Applied to Doc- ument Recognition,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Gradient-Based Learning Applied to Doc- ument Recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:49:23.300460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c060c442-812c-4ca6-b20e-a9e2a9cf8011 · outbound

This paper cites Attention Is All You Need,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Attention Is All You Need,

Reference 14

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 25420227-9319-49c6-a56e-912e7c7dde4f · outbound

This paper cites Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off,

Reference 15

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raw_fallback, observed 2026-08-15T17:49:23.271843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fab54bc3-96fa-4064-8619-64f5e946163c · outbound

This paper cites Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1268809-61b3-4bc1-9e7e-c69fbe4c91ed · outbound

This paper cites Beyond Bandlimited Sampling: Nonlinear and Nonideal Sam- pling,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Beyond Bandlimited Sampling: Nonlinear and Nonideal Sam- pling,

Reference 17

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raw_fallback, observed 2026-08-15T17:49:23.247070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4ad6c890-0bee-4ab5-8201-43f1a62b6dcc · outbound

This paper cites Sampling—50 Years After Shannon,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Sampling—50 Years After Shannon,

Reference 18

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raw_fallback, observed 2026-08-15T17:49:23.233934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 53301854-9c7d-4dd8-a2a5-aea113c24815 · outbound

This paper cites Robust Uncertainty Principles: Exact Signal Recon- struction from Highly Incomplete Frequency Information,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Robust Uncertainty Principles: Exact Signal Recon- struction from Highly Incomplete Frequency Information,

Reference 19

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raw_fallback, observed 2026-08-15T17:49:23.219595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c5d88073-5fe2-45e3-a546-eee87a5a426c · outbound

This paper cites Compressed Sensing,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Compressed Sensing,

Reference 20

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raw_fallback, observed 2026-08-15T17:49:23.207612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3b033de8-4506-4157-836f-d501111682c1 · outbound

This paper cites Theory of Reproducing Kernels,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Theory of Reproducing Kernels,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 95564952-0e67-470c-9074-fa8a99a4593d · outbound

This paper cites Sch¨ olkopf and A.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Sch¨ olkopf and A

Reference 22

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raw_fallback, observed 2026-08-15T17:49:23.182644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9cf80b7d-8288-4bec-bfab-f750eb0c1cf2 · outbound

This paper cites Diffusion Maps,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Diffusion Maps,

Reference 23

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raw_fallback, observed 2026-08-15T17:49:23.170824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c8589df5-1e41-40ed-8035-df36285b6d8e · outbound

This paper cites Discovering Governing Equations from Data by Sparse Identification of Nonlinear Dynamical Systems,.

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning Discovering Governing Equations from Data by Sparse Identification of Nonlinear Dynamical Systems,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T17:49:23.159080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.