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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 20 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 2026-08-20T06:33:59.587034+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=sha256:5ff81588490db13c33f6a1fa7a5dcac9354b5aa653265581b8ae80dfb11acc7e

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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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:e52b72399c5b184cb890314d72bf7b67a0bb168346b2463660ffdb7e54a7a664

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=sha256:21a57914b4f90d246f99443dcd5a4f6bfeebdc64f34d79325b9a42e7186c0352

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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source=pdf_text observed=2026-08-16T04:13:54.884105Z digest=sha256:74c9e0b0ca507419502a2485ae7e5a9e62618c94deec0382b20665f03413da3f

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=sha256:527341ddfd8e828deab2d34a42a1af269efd3751dcb3335014791ef7138d344f

Reference 9

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source=pdf_text observed=2026-08-16T04:13:54.890656Z digest=sha256:3dc362ea9264165d07395e1dd2115e7ca387a21e2e718599936bc5a01bb27273

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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source=pdf_text observed=2026-08-16T04:13:54.894084Z digest=sha256:1d291a46dc084477cffaa09f131344a926b93709c29d5c5c0b464d61c540d65f

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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source=pdf_text observed=2026-08-16T04:13:54.897773Z digest=sha256:ba63a5fd1f6767a3be19621579be3d82d4b7a285ba97c5f14319d1fc75b10fa5

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=sha256:90146ef6c43d7f0eb956352f0b8c9a52673b6e497c46467dbfe95b09fae1e308

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=sha256:6c8233176ffb539c4c5e43fbc2dc2e18b16e87bf8f28909b67ec94169d6114bf

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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source=pdf_text observed=2026-08-16T04:13:54.921528Z digest=sha256:f22d9c14c3f8fe325641ae90f9d62d6eddd49c33eaf6ef68321cd86edaf25527

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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source=pdf_text observed=2026-08-16T04:13:54.928268Z digest=sha256:ebc91ee2e8ca8589ae9579b4db1c788a9252edf1d24adeac725507302b226321

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:13:54.931302Z digest=sha256:fc4cba94bfa16bb3b09607415f893b4010ba8d50de17598037193d63ef670e1d

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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source=pdf_text observed=2026-08-16T04:13:54.934240Z digest=sha256:1d64484b7f989c9cfad9cdfe684267dd3d32d1a7279503dff8636c0a1ae34ddb

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=sha256:60daf4a188ef878d5ca98b5dabf6e8d1c6e7a1eb275087e7db765afe2b76dd01

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

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 23

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source=pdf_text observed=2026-08-16T04:13:54.944229Z digest=sha256:0236320920251ce1b2d19c1462b0f2af9d3a1acb313f75ad684de3bcfddd08a0

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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source=pdf_text observed=2026-08-16T04:13:54.947306Z digest=sha256:b4f2769bbc40deb401aaa657c8666cc76ae52b141eb3a54e999fe69249d81750

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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source=pdf_text observed=2026-08-16T04:13:54.954019Z digest=sha256:8299411914fc500fec49fe5bd2cbf738a962e0bd321f2c1dd385938190a372b6

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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source=pdf_text observed=2026-08-16T04:13:54.968141Z digest=sha256:a6b81da416cb9341f719b34944bc4a028c46e79e99ac2cd3339905ab8644a8a3

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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source=pdf_text observed=2026-08-16T04:13:54.979761Z digest=sha256:825e443668f8c1cffd49a82e647f69818b1ec3070f302ba67240db761eeeae49

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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raw_fallback, observed 2026-08-16T04:13:55.419012Z

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Reference 33

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T04:13:54.986619Z digest=sha256:1810a8481f959d9d0b8d6e84d1f97ea2436514d18d31b4af71e90b4429549c03

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=sha256:88295ed9527068ddaa47b960c96d14b44b1919d621aa12dc1afa283242e043cc

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

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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

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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

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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

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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

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

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