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Paper Citation Record · LEDGER

Simulating matrix models with tensor networks

As of 13 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2412.04133.

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

pith.paper-citation-record.v1
2412.04133 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:49:01.243301Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:45:25.762070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:45:27.120414Z

Reference resolution

78 of 78 outbound references displayed

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  • verified fuzzy18
  • unresolved43
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External citation measurements

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Outbound references

Observation c2c398cf-ef90-474d-8bc7-50f119da3223 · outbound

This paper cites A simple quantum system that describes a black hole.

Simulating matrix models with tensor networks A simple quantum system that describes a black hole

Reference 1

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Observation 8b1c6181-efaf-44c2-aa36-b23875f8312b · outbound

This paper cites The Large N Limit of Superconformal Field Theories and Supergravity.

Simulating matrix models with tensor networks The Large N Limit of Superconformal Field Theories and Supergravity

Reference 2

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source=pdf_text observed=2026-08-11T21:49:00.955518Z digest=sha256:147872493919c5249e581c53d1e588c2627d452f9ce3c75d5eb6c4adfff44b97

Observation aaff96c0-03ed-4162-9f20-58664f3ef40b · outbound

This paper cites A Large-N Reduced Model as Superstring.

Simulating matrix models with tensor networks A Large-N Reduced Model as Superstring

Reference 3

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source=pdf_text observed=2026-08-11T21:49:00.959058Z digest=sha256:58b37fd0282df3ed9bedb135637ac1eb72bab39e230a75cc9e74ac8b4b558e82

Observation 78339898-11ef-4c9a-87de-0a8dde0ffca5 · outbound

This paper cites M Theory As A Matrix Model: A Conjecture.

Simulating matrix models with tensor networks M Theory As A Matrix Model: A Conjecture

Reference 4

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Observation 3e80f781-fbea-48c0-b2a6-486d602aecc2 · outbound

This paper cites Why is the Matrix Model Correct?.

Simulating matrix models with tensor networks Why is the Matrix Model Correct?

Reference 5

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source=pdf_text observed=2026-08-11T21:49:00.966392Z digest=sha256:1e8d2a4c14cbc6b46a0d9098f8cefc9b6c4c95dde515a2664ab7450b19077601

Observation 0e2a2704-5397-429d-8adb-19aebf9290a1 · outbound

This paper cites Monte Carlo studies of supersymmetric matrix quantum mechanics with sixteen supercharges at finite temperature.

Simulating matrix models with tensor networks Monte Carlo studies of supersymmetric matrix quantum mechanics with sixteen supercharges at finite temperature

Reference 6

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Observation ae68124c-cb43-48bb-a883-30910ee1c322 · outbound

This paper cites Precision lattice test of the gauge/gravity duality at large-$N$.

Simulating matrix models with tensor networks Precision lattice test of the gauge/gravity duality at large-$N$

Reference 7

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source=pdf_text observed=2026-08-11T21:49:00.974353Z digest=sha256:2f98e815635f8a8ba1d99b4ca0e1d51fd9025d9646315c1d7f629b4aa4466926

Observation 3ce3aef4-3d4a-47fe-91f9-920a001bbf84 · outbound

This paper cites Confinement/deconfinement transition in the D0-brane matrix model -- A signature of M-theory?.

Simulating matrix models with tensor networks Confinement/deconfinement transition in the D0-brane matrix model -- A signature of M-theory?

Reference 8

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source=pdf_text observed=2026-08-11T21:49:00.978296Z digest=sha256:baac9ab5d8dc9308dbaaa7e6a44cc4aadacd6777cf9e8b7184bd19b5fda0cdc5

Observation 2c3159c3-f546-4b94-b0b5-5c44647fa564 · outbound

This paper cites Precision test of gauge/gravity duality in D0-brane matrix model at low temperature.

Simulating matrix models with tensor networks Precision test of gauge/gravity duality in D0-brane matrix model at low temperature

Reference 9

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source=pdf_text observed=2026-08-11T21:49:00.982233Z digest=sha256:8ea4c849750a31924e6ad4c4bd9dcaeaa30a9746969514d071690a073c94151a

Observation 18eae0e6-77b3-4948-b89e-0ac3fa11d2e6 · outbound

This paper cites Bootstrapping Matrix Quantum Mechanics.

Simulating matrix models with tensor networks Bootstrapping Matrix Quantum Mechanics

Reference 10

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Observation 347f0c08-5106-41eb-80a6-36a367687339 · outbound

This paper cites Bootstrap bounds on D0-brane quantum mechanics.

Simulating matrix models with tensor networks Bootstrap bounds on D0-brane quantum mechanics

Reference 11

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Observation f24118e3-9907-43b6-bd1d-422139540a01 · outbound

This paper cites Deep Quantum Geometry of Matrices.

Simulating matrix models with tensor networks Deep Quantum Geometry of Matrices

Reference 12

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Observation 14c4e1fc-0796-49b0-88fb-4bb6848b33cb · outbound

This paper cites Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo.

Simulating matrix models with tensor networks Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo

Reference 13

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Observation d2c6b30c-154f-4228-8130-d2efd0d42918 · outbound

This paper cites Variational Monte Carlo with Neural Network Quantum States for Yang-Mills Matrix Model.

Simulating matrix models with tensor networks Variational Monte Carlo with Neural Network Quantum States for Yang-Mills Matrix Model

Reference 14

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Observation a3f39f49-c207-4497-92c6-7562d1402595 · outbound

This paper cites Toward simulating Superstring/M-theory on a quantum computer.

Simulating matrix models with tensor networks Toward simulating Superstring/M-theory on a quantum computer

Reference 15

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Observation bc6a0ee6-ea8f-43a2-a9ff-46e8f320021c · outbound

This paper cites Tensor networks for complex quantum systems.

Simulating matrix models with tensor networks Tensor networks for complex quantum systems

Reference 16

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Observation efa9b9f4-1b4b-4b5c-b8d2-f1fdb713428a · outbound

This paper cites Tensor Networks for Lattice Gauge Theories beyond one dimension: a Roadmap.

Simulating matrix models with tensor networks Tensor Networks for Lattice Gauge Theories beyond one dimension: a Roadmap

Reference 17

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Observation 9addcb96-8b77-4dfc-93f5-983b0bd101ff · outbound

This paper cites TASI Lectures on D-Branes.

Simulating matrix models with tensor networks TASI Lectures on D-Branes

Reference 18

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Observation 58a2fa79-0154-456f-ab00-8e24fb90fe2c · outbound

This paper cites Supermembranes and M(atrix) Theory.

Simulating matrix models with tensor networks Supermembranes and M(atrix) Theory

Reference 19

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Observation a1ddc5b4-8c39-4bf7-aaa7-010b2c335562 · outbound

This paper cites An Introduction to the Quantum Supermembrane.

Simulating matrix models with tensor networks An Introduction to the Quantum Supermembrane

Reference 20

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Observation addb89a1-4c08-4d92-bb13-52f78cffe5f0 · outbound

This paper cites A Two-Loop Test of M(atrix) Theory.

Simulating matrix models with tensor networks A Two-Loop Test of M(atrix) Theory

Reference 21

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Observation b6b9ba33-e4d8-4811-9f51-8cebc3200d98 · outbound

This paper cites Higher Order Graviton Scattering in M(atrix) Theory.

Simulating matrix models with tensor networks Higher Order Graviton Scattering in M(atrix) Theory

Reference 22

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Observation ff7983e3-8795-4ebf-8b26-c72c29cff359 · outbound

This paper cites Three Graviton Scattering in M-Theory.

Simulating matrix models with tensor networks Three Graviton Scattering in M-Theory

Reference 23

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Observation 2c13c0b1-9f3f-42d1-8296-08c1668cc6c5 · outbound

This paper cites Three Point Amplitudes in Matrix Theory.

Simulating matrix models with tensor networks Three Point Amplitudes in Matrix Theory

Reference 24

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Observation 30588c05-da9d-4d1c-8d0a-d73f81705c6d · outbound

This paper cites Soft Gravitons in the BFSS Matrix Model.

Simulating matrix models with tensor networks Soft Gravitons in the BFSS Matrix Model

Reference 25

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Observation c330377a-a576-4a9b-bbc7-34f6042323d5 · outbound

This paper cites Lorentz Symmetry and IR Structure of The BFSS Matrix Model.

Simulating matrix models with tensor networks Lorentz Symmetry and IR Structure of The BFSS Matrix Model

Reference 26

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Observation 35626fa9-4828-4967-81f4-c88156ee0396 · outbound

This paper cites Soft Theorems in Matrix Theory.

Simulating matrix models with tensor networks Soft Theorems in Matrix Theory

Reference 27

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Observation e9f87213-ca64-43a2-85ad-766b9422264e · outbound

This paper cites Schwarzschild Black Holes from Matrix Theory.

Simulating matrix models with tensor networks Schwarzschild Black Holes from Matrix Theory

Reference 28

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Observation e57fa914-49ff-41ed-9d01-95c7d409029e · outbound

This paper cites Schwarzchild Black Holes in Matrix Theory II.

Simulating matrix models with tensor networks Schwarzchild Black Holes in Matrix Theory II

Reference 29

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Observation 6830d686-bf11-440e-a720-783f5b395fd3 · outbound

This paper cites Schwarzschild Black Holes in Various Dimensions from Matrix Theory.

Simulating matrix models with tensor networks Schwarzschild Black Holes in Various Dimensions from Matrix Theory

Reference 30

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Observation 0f471b1b-1824-49d4-b62a-759d26fdb086 · outbound

This paper cites Six Dimensional Schwarzschild Black Holes in M(atrix) Theory.

Simulating matrix models with tensor networks Six Dimensional Schwarzschild Black Holes in M(atrix) Theory

Reference 31

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Observation ede59df9-c95f-4fb9-8000-36224e91db00 · outbound

This paper cites Comments on Black Holes in Matrix Theory.

Simulating matrix models with tensor networks Comments on Black Holes in Matrix Theory

Reference 32

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Observation 342e3b18-e375-43f5-80dc-979c88b99be7 · outbound

This paper cites Spherical membranes in Matrix theory.

Simulating matrix models with tensor networks Spherical membranes in Matrix theory

Reference 33

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Observation 4dd2b59a-a77c-454f-8e83-f8a635ebf5bb · outbound

This paper cites Black Hole and Fuzzy Objects in BFSS Matrix Model.

Simulating matrix models with tensor networks Black Hole and Fuzzy Objects in BFSS Matrix Model

Reference 34

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local_arxiv, observed 2026-08-11T21:49:01.688214Z

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Observation bc6ff3cf-223b-47ec-bc02-e6a04c92f8bc · outbound

This paper cites Emergent geometry from stochastic dynamics, or Hawking evaporation in M(atrix) theory.

Simulating matrix models with tensor networks Emergent geometry from stochastic dynamics, or Hawking evaporation in M(atrix) theory

Reference 35

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local_arxiv, observed 2026-08-11T21:49:01.673229Z

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Observation 4af3360c-621c-4046-a05d-ed71d4159ed6 · outbound

This paper cites The BFSS model on the lattice.

Simulating matrix models with tensor networks The BFSS model on the lattice

Reference 36

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Observation 2fdce2cb-c2a6-4f97-8131-4b44bf2f220e · outbound

This paper cites What lattice theorists can do for superstring/M-theory.

Simulating matrix models with tensor networks What lattice theorists can do for superstring/M-theory

Reference 37

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Observation 028e8112-4041-479a-b050-ce41d3c5c8da · outbound

This paper cites de Wit, M.

Simulating matrix models with tensor networks de Wit, M

Reference 38

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raw_fallback, observed 2026-08-11T21:49:02.269678Z

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Observation 990ee0c9-98d6-4a44-9163-f43e2fec9517 · outbound

This paper cites The ground state of the D=11 supermembrane and matrix models on compact regions.

Simulating matrix models with tensor networks The ground state of the D=11 supermembrane and matrix models on compact regions

Reference 39

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verified exact
local_arxiv, observed 2026-08-11T21:49:01.630608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.098336Z digest=sha256:928f9ffa1637f5d7550974c67ef27a6f5835d5c709e3db55fee40f263422daa1

Observation b3e79fac-4ed5-4911-96c3-a212d2bc5a69 · outbound

This paper cites Measure of the potential valleys of the supermembrane theory.

Simulating matrix models with tensor networks Measure of the potential valleys of the supermembrane theory

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:49:01.612620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.102410Z digest=sha256:a324e6c808b0cc0b405bb61eb16362da63c4c0b3efcad9cc45934f7ec4fdaed1

Observation 9e14fb82-58d0-498e-8fb6-ee5d6c1c3f67 · outbound

This paper cites Strings in flat space and pp waves from ${\cal N}=4$ Super Yang Mills.

Simulating matrix models with tensor networks Strings in flat space and pp waves from ${\cal N}=4$ Super Yang Mills

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.106549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.106549Z digest=sha256:bc8d1a33b226015a0fccb7d100f3922185b689cd46bf0dc7b4963c6b75388f6c

Observation c2f15b20-8c7c-4601-ab0e-6f6aec62030c · outbound

This paper cites Matrix Perturbation Theory For M-theory On a PP-Wave.

Simulating matrix models with tensor networks Matrix Perturbation Theory For M-theory On a PP-Wave

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.110396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.110396Z digest=sha256:0eddade199eabbed165bd9caf1d621a50af4db9a91efb7d8dec722ac00e3bc69

Observation 3971680f-b37a-4ec6-b5aa-22a2289e9bc7 · outbound

This paper cites Ehlers and W.

Simulating matrix models with tensor networks Ehlers and W

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.258260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.115175Z digest=sha256:92ceff41b1f385a30398bfee4d422edce736bd1b3e579c6ea3947589bcda3cff

Observation c664fa92-7b35-4ef2-b182-65b3a7b5394c · outbound

This paper cites The Supergravity Dual of the BMN Matrix Model.

Simulating matrix models with tensor networks The Supergravity Dual of the BMN Matrix Model

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.119893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.119893Z digest=sha256:f78da98c740ff6bc88b5eca647954c6bc5a8561e9b91c1314042aa8f6b281661

Observation ceebbc01-013e-424d-9ad5-f7f5ddcbd2a0 · outbound

This paper cites Black and super p-branes in diverse dimensions.

Simulating matrix models with tensor networks Black and super p-branes in diverse dimensions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.123981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.123981Z digest=sha256:b99422f360e347a7dd9d737c7aa019bb11eb40098ebe29defad8dd0a226f0021

Observation ebf32655-c714-4ac0-8e10-7f6d30649f4c · outbound

This paper cites Thermodynamic Behavior of Fuzzy Membranes in PP-Wave Matrix Model.

Simulating matrix models with tensor networks Thermodynamic Behavior of Fuzzy Membranes in PP-Wave Matrix Model

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:49:01.541468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.127630Z digest=sha256:570e173f6dc48bc4e5964c80c4ceb5a60fd0ff2432a511927c2a3fed5070dfc7

Observation 52092933-612c-4632-917a-4b7ddd450d8e · outbound

This paper cites Evidence for fast thermalization in the plane-wave matrix model.

Simulating matrix models with tensor networks Evidence for fast thermalization in the plane-wave matrix model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.131268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.131268Z digest=sha256:49002b1df5f7708faf72c6511a534f61937d5a343f3d9001e8a6fe97a2d07e5d

Observation ac5e30fd-f9cd-4001-8167-5c3ca5528125 · outbound

This paper cites Scrambling with Matrix Black Holes.

Simulating matrix models with tensor networks Scrambling with Matrix Black Holes

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:49:01.416012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.134719Z digest=sha256:e3f43e5e5bd951e4960afa43c05abc6a09b200b9fe0a68182860cbc6d4a7925e

Observation fca6bb53-3772-475c-8eec-d070fe1dcc64 · outbound

This paper cites Thermodynamics of the BMN matrix model at strong coupling.

Simulating matrix models with tensor networks Thermodynamics of the BMN matrix model at strong coupling

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.138342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.138342Z digest=sha256:0fcb2e224cb6b654454b927b4407acf50b33212e22485e09cca57e67dbefc9ee

Observation 32042c7d-46f3-45ab-85a6-6ec3c951c51a · outbound

This paper cites From Black Hole to Qubits: Evidence of Fast Scrambling in BMN theory.

Simulating matrix models with tensor networks From Black Hole to Qubits: Evidence of Fast Scrambling in BMN theory

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.142316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.142316Z digest=sha256:aa060bf5353c2898fe83896f0c4656b6823eeb83a5af278a46ee4911413d5f32

Observation 8d0e64c8-f24c-49b4-8d70-3f6d2f2ad7ac · outbound

This paper cites The non-perturbative phase diagram of the BMN matrix model.

Simulating matrix models with tensor networks The non-perturbative phase diagram of the BMN matrix model

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.146154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.146154Z digest=sha256:fc28943492d184af2d205e323f065b2590f8219504f925ba1c55fd98c56fc6d4

Observation 99811436-8c8e-4219-a8a6-568f8f41a1e3 · outbound

This paper cites The Confining Transition in the Bosonic BMN Matrix Model.

Simulating matrix models with tensor networks The Confining Transition in the Bosonic BMN Matrix Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.149905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.149905Z digest=sha256:90e5545cf794bd94812f455164a2ce54337d79a49cf3cae49c5e6e3ac47c9a53

Observation 31e59dc2-f08e-4649-8913-6e2f91fca7d4 · outbound

This paper cites M2-brane Dynamics in the Classical Limit of the BMN Matrix Model.

Simulating matrix models with tensor networks M2-brane Dynamics in the Classical Limit of the BMN Matrix Model

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:49:01.358499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.154549Z digest=sha256:4771189f092f256ad9f72a1f67066f2b8be34a09f1cde8a1024c9e9825942e68

Observation 54fb4c14-1e80-4aca-a0b9-4ba7d3a6bb45 · outbound

This paper cites Emergent geometry through quantum entanglement in Matrix theories.

Simulating matrix models with tensor networks Emergent geometry through quantum entanglement in Matrix theories

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:49:01.342811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.158536Z digest=sha256:733a796697e8e41a8c1bfee2d57383621232a71facad7cd9499f0b37fdeefc79

Observation 28402b08-0eb9-44b0-a571-51a0c43b6576 · outbound

This paper cites Massive super Yang-Mills quantum mechanics: classification and the relation to supermembrane.

Simulating matrix models with tensor networks Massive super Yang-Mills quantum mechanics: classification and the relation to supermembrane

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.162391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.162391Z digest=sha256:2c7a094de4287b61d173ef31fc224d6ff781e9bda59a1a50bef2cc9575f21e87

Observation b3fba719-4833-45fa-8850-61aad0243ccd · outbound

This paper cites To gauge or not to gauge?.

Simulating matrix models with tensor networks To gauge or not to gauge?

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.166247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.166247Z digest=sha256:e7508d8b0edf70f6a545a0d4351d56e860552a6261727cf1b7d5f05bb16063ff

Observation 30496294-e0d2-4bae-a106-844e6b7bb50d · outbound

This paper cites Gauged And Ungauged: A Nonperturbative Test.

Simulating matrix models with tensor networks Gauged And Ungauged: A Nonperturbative Test

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.170209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.170209Z digest=sha256:de492ccb1f5ef0f907dc3c3e758e0461ac39187fcbace8ed9c168326dbbe9080

Observation 4c3a2f16-b460-44a7-bc12-361a47e3e503 · outbound

This paper cites White, Density matrix formulation for quantum renormalization groups , Physical review letters 69 (1992) 2863.

Simulating matrix models with tensor networks White, Density matrix formulation for quantum renormalization groups , Physical review letters 69 (1992) 2863

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.247911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.173919Z digest=sha256:ef348e10d58ca0c5f63403328ff0395a4578f58758497853986cfdc95c7a62d4

Observation 3e205682-4f2f-4c1c-89a3-cf6dd3a12ee3 · outbound

This paper cites Tensor Network Algorithms: a Route Map.

Simulating matrix models with tensor networks Tensor Network Algorithms: a Route Map

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.177390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.177390Z digest=sha256:a7f035bbf833573370127166cdfcd00e21ccd4e43b250eeeb1e405079acae550

Observation fa1fd844-c839-479d-8c39-7d734946d654 · outbound

This paper cites Matrix Product State Representations.

Simulating matrix models with tensor networks Matrix Product State Representations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.181240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.181240Z digest=sha256:589d28858be95f6ccd8a911bcab53eae8ef18a8d2a36323cd65f8a92977bf13e

Observation 95323328-3b81-4e79-8582-d1c0c64b7180 · outbound

This paper cites Schollw¨ ock,The density-matrix renormalization group in the age of matrix product states , Annals of physics 326 (2011) 96.

Simulating matrix models with tensor networks Schollw¨ ock,The density-matrix renormalization group in the age of matrix product states , Annals of physics 326 (2011) 96

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.237046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.185030Z digest=sha256:84f737db0af36f4efd7759d4039b91703d3524dfe262d4dd1d5d318d8326668d

Observation df214283-2261-481f-8499-e689e9bf7cfe · outbound

This paper cites Bridgeman and C.T.

Simulating matrix models with tensor networks Bridgeman and C.T

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.226545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.188622Z digest=sha256:dcef96de7f868e91ceb6b7eef82c4dcaa814c6fff0caaa5e3cc6b21cfd2c3148

Observation c02338c1-3a4c-4c78-8b31-e17da546778f · outbound

This paper cites Paeckel, T.

Simulating matrix models with tensor networks Paeckel, T

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.215902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.192132Z digest=sha256:0e33455a47853dfa260523c831505e189048de102a0708e52daaf4052517d846

Observation 39d9e87d-4e31-4c14-b9a9-fd78d1f141a9 · outbound

This paper cites Hauschild and F.

Simulating matrix models with tensor networks Hauschild and F

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.203910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.195773Z digest=sha256:dd13578b27b3891f2491febb8432855348ef0fcf3fce2454251a84281fd339b8

Observation 676a01d6-540e-4b05-ae86-1dda190bf36f · outbound

This paper cites Xiang, Density Matrix and Tensor Network Renormalization , Cambridge University Press (2023).

Simulating matrix models with tensor networks Xiang, Density Matrix and Tensor Network Renormalization , Cambridge University Press (2023)

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.199551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.199551Z digest=sha256:92ffbe63a6afd0c128826cff810e8895a871d5ae151a1a3b9b05d425f3dd1099

Observation 4c5045bf-2aeb-4642-87b2-c23af5bcf369 · outbound

This paper cites Pirvu, V.

Simulating matrix models with tensor networks Pirvu, V

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.185955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.203243Z digest=sha256:1cb131dc0f80a3fc54902049497575617ffae9d505b73b7ed2f700b5ccdc49da

Observation eb539068-eeaf-4614-b563-f5fed9c296dc · outbound

This paper cites an unresolved cited work.

Simulating matrix models with tensor networks Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:49:02.175402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.207295Z digest=sha256:0a89cb85df57c05f7fc258471ee894394cd7bada531bc7ff50bb798d2a9de939

Observation 3d78f53a-ab63-4207-b942-fec9a77740a2 · outbound

This paper cites ¨Ostlund and S.

Simulating matrix models with tensor networks ¨Ostlund and S

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.164550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.210289Z digest=sha256:6844ede0d235d6a30f0f9b1b7cb48f5f71c3a2ef0be1c0c1fb2adc4ebd423278

Observation 0d275a98-3262-4e46-b431-45689edbd617 · outbound

This paper cites Fishman, S.

Simulating matrix models with tensor networks Fishman, S

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.153562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.213368Z digest=sha256:26e652db76fc72497e3fe3a01152064e5b91ffdeaca46f4091e73337421243f8

Observation ca73885f-411a-4f4d-afed-65541c740eb1 · outbound

This paper cites Li and F.D.M.

Simulating matrix models with tensor networks Li and F.D.M

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.143084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.216316Z digest=sha256:64d27ae91168ddb0b59d1f08a293ae8fa1b2f8a26f60ffda9503805a75473b55

Observation 58aa51ca-5b60-4d60-b8a1-8972fab1b762 · outbound

This paper cites Zhang, E.

Simulating matrix models with tensor networks Zhang, E

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.132280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.219284Z digest=sha256:50c9a64e43b6110908674ada845882b905a245a2be54b8b6a23acd8be94ba30d

Observation 91d378af-8d1b-413d-b07b-7a8a1cb0454a · outbound

This paper cites Iskin and C.

Simulating matrix models with tensor networks Iskin and C

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.120937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.222231Z digest=sha256:0998fd53ecdc81e9f126141dd885f1fdac923ca3322c80b78ff5e99c6b0803b7

Observation 26680eb4-9846-4b14-9f34-c11ac24fae89 · outbound

This paper cites Hubig, I.P.

Simulating matrix models with tensor networks Hubig, I.P

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.108985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.225612Z digest=sha256:c6339f9e137d461734ea4e424f4148506bafdc92f7c52b887ac04410c8b471e4

Observation 102daed9-e85b-42fd-810d-8d04e507e916 · outbound

This paper cites Gleis, J.-W.

Simulating matrix models with tensor networks Gleis, J.-W

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.096900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.228635Z digest=sha256:85024c143997e0f0ec730eedeaa760470904ae63fda8b27abecfa47901c26375

Observation 811899dc-6af1-4abf-9a45-29e98bd75583 · outbound

This paper cites General Formulas of the Structure Constants in the $\mathfrak{su}(N)$ Lie Algebra.

Simulating matrix models with tensor networks General Formulas of the Structure Constants in the $\mathfrak{su}(N)$ Lie Algebra

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:01.231839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:01.231839Z digest=sha256:e67ae4e5d2036e3adc985b4957245de1a2200681882a34d6f0308234c6a03c84

Observation a4dc0db8-5182-458e-b791-a782e8285f54 · outbound

This paper cites Gell-Mann, Symmetries of baryons and mesons , Phys.

Simulating matrix models with tensor networks Gell-Mann, Symmetries of baryons and mesons , Phys

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.086462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.235872Z digest=sha256:2717cf74cb4bcb445eae8e9821894f42ff53258e423d64b5378cf7b7c7bce7a3

Observation 24b5de3c-b857-4aad-9599-f2300ac20977 · outbound

This paper cites Prosen and I.

Simulating matrix models with tensor networks Prosen and I

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.076566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.239657Z digest=sha256:a4271ef78fa6d3ee65ab3cd91a4df54da5e162bf679b6857a1f18d7bd494f1da

Observation b2ec82b5-c5f6-4d8e-880b-f4ddfaa892c1 · outbound

This paper cites ˇZnidariˇ c, T.

Simulating matrix models with tensor networks ˇZnidariˇ c, T

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:02.065681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:49:01.243301Z digest=sha256:258e09533f8514bf734b76119882c060e254a2c2b9bab02bc73107b43e302117

Pith citing papers

Observation a02513f7-d6e0-4fb1-992e-5a75f3a8eeb9 · inbound

Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer cites this paper.

Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer Simulating matrix models with tensor networks

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source=pdf_text observed=2026-05-10T13:45:25.762070Z digest=sha256:2e31eefc5ea0c3d679fa63c421318c25df9b3ddc5e973e4684de66a905f047a0