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Paper Citation Record · LEDGER

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.05493.

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

pith.paper-citation-record.v1
2505.05493 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:54.989875Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:16:45.449657Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact9
  • verified fuzzy9
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6eb7d8c9-375a-43e8-b2f0-4cb2e1f98afa · outbound

This paper cites A numerical method for finding the ground states of one-dimensional systems.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks A numerical method for finding the ground states of one-dimensional systems

Reference 1

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Observation 90eef946-f3ac-45e2-99aa-211e31982c9c · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 2

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Observation 70161f98-3c6c-4640-a350-ca376ec29565 · outbound

This paper cites Fifty years of portfolio optimization.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Fifty years of portfolio optimization

Reference 3

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source=pdf_text observed=2026-08-16T04:13:54.868522Z digest=sha256:0601daec87efde764a715edc3a66f77173ecb69f780738ff7c4e077dfbf502a0

Observation c6a28d34-002d-4abf-8895-6a760a0b2f03 · outbound

This paper cites Arno Kühn, and Prof.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Arno Kühn, and Prof

Reference 4

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doi, observed 2026-08-16T04:13:55.157531Z

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Observation e8d7b37e-dab2-4701-9e6d-e09a4551522a · outbound

This paper cites A survey of optimization methods from a machine learning perspective.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks A survey of optimization methods from a machine learning perspective

Reference 5

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source=pdf_text observed=2026-08-16T04:13:54.876685Z digest=sha256:4c00ecb4b8e56a72929b0a4041e5a12f195f2e0bf9416b63447f19d242e05484

Observation 9c1beb75-a9be-4137-b69b-6c7c9a314f78 · outbound

This paper cites Bolognesi, C.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Bolognesi, C

Reference 6

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source=pdf_text observed=2026-08-16T04:13:54.880351Z digest=sha256:6a992084f7e11029d8ee6ab903ad916455d2d4e355d9ad1aa124eef0ced03ca6

Observation a4da185c-6388-4bd1-8b07-d9e077ed9663 · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 7

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Observation bdb17447-51fa-4b13-9aa2-540644e74eef · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-16T04:13:54.887375Z digest=sha256:bf72d5c47af31cfcae47c239aaba4d75f4b5a05fd1fafa3575f00ffc07d79e29

Reference 9

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source=pdf_text observed=2026-08-16T04:13:54.890656Z digest=sha256:671b232eaa819a5c0f91ce7441667f97ead8343478ee829e882c39eb481c5608

Observation 5ebd8da8-dd5a-4cb1-a94b-78ebfa5948fe · outbound

This paper cites Deep learning via hessian-free optimization.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Deep learning via hessian-free optimization

Reference 10

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Observation 43dd4082-612d-440d-a52e-e5496660c0e7 · outbound

This paper cites The multivariate bisection algorithm, 2017.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks The multivariate bisection algorithm, 2017

Reference 11

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Observation 69a56f41-6f06-4ce0-8ed6-fe090bff7744 · outbound

This paper cites Torres-Hernandez and F.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Torres-Hernandez and F

Reference 12

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Observation a45f6c3b-6216-4bc0-8cb7-d6f409e2c214 · outbound

This paper cites Global dynamics of the real secant method.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Global dynamics of the real secant method

Reference 13

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source=pdf_text observed=2026-08-16T04:13:54.904333Z digest=sha256:cf256c00b6dae229ad5659e177000ded5ec3eaf40df36f2f190f001f0bbad756

Observation bb034b08-272e-4e10-834b-bb788f46a47d · outbound

This paper cites Borwein, David M.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Borwein, David M

Reference 14

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source=pdf_text observed=2026-08-16T04:13:54.910926Z digest=sha256:ef8ff588fd1d1df510f31b9da34984c2ef9f1c96f5b19a474b89d578981f96da

Observation 3ac75e76-fadf-4e49-bfa1-804c6b010c0d · outbound

This paper cites An Essay on the Riemann Hypothesis, pages 225–257.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks An Essay on the Riemann Hypothesis, pages 225–257

Reference 15

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Observation c4e2afcf-5794-455a-81b5-25ffcd8b1e6b · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 16

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Observation 772c4b62-fd70-4e40-bb65-df95ae8309cb · outbound

This paper cites Inverse Problems in Vision and 3D Tomography.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Inverse Problems in Vision and 3D Tomography

Reference 17

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Observation 72a934d6-3833-4742-9793-9a4e80e455fe · outbound

This paper cites Perception viewed as an inverse problem.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Perception viewed as an inverse problem

Reference 18

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Observation a302d406-a757-4540-b1dc-5d27641c855c · outbound

This paper cites The Ocean Circulation Inverse Problem.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks The Ocean Circulation Inverse Problem

Reference 19

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d06dacaa-c88e-4326-b2cc-11dda6c02b0b · outbound

This paper cites Inverse Modeling.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Inverse Modeling

Reference 20

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Observation ed8c2bb6-36f8-4a6c-94e4-ca21f6f0f414 · outbound

This paper cites Optical tomography in medical imaging.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Optical tomography in medical imaging

Reference 21

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source=pdf_text observed=2026-08-16T04:13:54.937414Z digest=sha256:97b2230940e32ea6e201d49a8d445772adc62a99f45b9f3676f5b7b1be2d86aa

Observation 2a80e8b9-f1d9-45a5-9f75-60389e817944 · outbound

This paper cites doi: 10.2118/18433-MS.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks doi: 10.2118/18433-MS

Reference 22

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Observation b3ce1ced-8313-442c-b307-de5aa430c2d1 · outbound

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FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-16T04:13:54.944229Z digest=sha256:2aa4b033f468d83302f294f7789b38affcf0d1fdd3d48bbf1644e12dc17cda06

Observation 61722646-89d9-47f5-8326-e9bcfe0d689a · outbound

This paper cites Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik

Reference 24

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Observation 56483820-0dba-4932-849c-840c588b1b3b · outbound

This paper cites How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits

Reference 25

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Observation 553faf43-3afc-4948-8f0d-e16db03d90f2 · outbound

This paper cites A practical introduction to tensor networks: Matrix product states and projected entangled pair states.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks A practical introduction to tensor networks: Matrix product states and projected entangled pair states

Reference 26

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Observation 8fbebc81-f4b6-4921-825b-d5c86a62aad9 · outbound

This paper cites Hybrid tree tensor networks for quantum simulation.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Hybrid tree tensor networks for quantum simulation

Reference 27

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Observation e3c89e5b-eb98-4dc7-94ba-da8ce4542ddb · outbound

This paper cites Tensor networks in machine learning.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Tensor networks in machine learning

Reference 28

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Observation e43da160-90db-4093-aba7-22a676b63de3 · outbound

This paper cites Symmetric tensor networks for generative modeling and constrained combinatorial optimization.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Symmetric tensor networks for generative modeling and constrained combinatorial optimization

Reference 29

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Observation 35b12a10-83cd-4e7f-b066-b9248c3c61b8 · outbound

This paper cites Explicit solution equation for every combinatorial problem via tensor networks: Melocoton,.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Explicit solution equation for every combinatorial problem via tensor networks: Melocoton,

Reference 30

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Observation 8e763b09-3dda-41cb-adc3-2f2494e07990 · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 31

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Observation 72229925-f3e9-4a3d-83eb-58f8c78d6709 · outbound

This paper cites The Principles of Quantum Mechanics.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks The Principles of Quantum Mechanics

Reference 32

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 967d55e9-6f83-470f-9d31-d8d519ffc0fe · outbound

This paper cites Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN

Reference 34

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source=pdf_text observed=2026-08-16T04:13:54.975975Z digest=sha256:c87a1722831d36b815960d26982aef1ed4b5d3128e4d98eb8ff9b20a5d4b994b

Observation 53e15de0-6a25-4009-bdd1-aff81fa4aa02 · outbound

This paper cites an unresolved cited work.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:13:55.407782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a5d488a-3d86-4fcd-99cc-20019a3db6c9 · outbound

This paper cites doi: 10.1007/978-3-319-32162-2_5.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks doi: 10.1007/978-3-319-32162-2_5

Reference 2016

Resolution
verified exact
doi, observed 2026-08-16T04:13:55.114328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a9076de-1470-49fc-9662-5840d8911e54 · outbound

This paper cites URL https://dx.doi.org/10.1088/1361-6544/ab2f55.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks URL https://dx.doi.org/10.1088/1361-6544/ab2f55

Reference 2019

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation faaf1d59-3d95-417b-a1f5-1e2ed1e84f5b · outbound

This paper cites URL https://link.aps.org/doi/10.1103/PRXQuantum.6.

FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks URL https://link.aps.org/doi/10.1103/PRXQuantum.6

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:54.960749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation db51a2f7-2cae-4443-a0c4-0444347161fc · inbound

Prime Factorization Equation from a Tensor Network Perspective cites this paper.

Prime Factorization Equation from a Tensor Network Perspective FTNILO: Explicit Multivariate Function Inversion, Optimization and Counting, Cryptography Weakness and Riemann Hypothesis Solution Equation with Tensor Networks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:00.482631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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