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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 2026-08-12T06:34:41.77262+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

  • verified exact17
  • 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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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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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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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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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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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=sha256:8742edac16562a6074ca46bea54d61fd9fdadc2c33a93393c9ab15436a5f17e5

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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source=pdf_text observed=2026-08-11T21:49:00.986060Z digest=sha256:18e1ec865e9a8bd9e4dc0c7f83afad2aa734d59e2f7b583cff3e34f673273021

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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local_arxiv, observed 2026-08-11T21:49:01.766500Z

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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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local_arxiv, observed 2026-08-11T21:49:01.752000Z

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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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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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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local_arxiv, observed 2026-08-11T21:49:01.647215Z

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

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.098336Z digest=sha256:c78286a4ce217f5ef25b1472c3050b9a901f828fd010e0cd0dfba867592ee849

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.102410Z digest=sha256:1b8e8825aa9d1219e76c76e78e152cc1c454372bdfeddfbdb3f9a9842d1f12a0

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=sha256:0438db4b5af7af71c56e4ecf87a0b203be582331501e879f908b5982391129e6

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:b3ad804995a0168b738de68d24e9e39e08cea505669fc5dc1780b9b18724ff41

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.115175Z digest=sha256:15d8416a789f956aa60e095274ac7582980e009dd858adad29bc8d8779a0d6de

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:a19de8203b4ab9a77c53d5697ba86fd84fb83928032d8b6c45628de83ba01eaf

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:bd68f01306c77a4048475a283339bff9020eaf7fbb2414d5aa77c9ffb1206f14

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.127630Z digest=sha256:fbc8ed88fd1a062d939227d796125eb870a9ca5182b0dd35b70db3f746d80194

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=sha256:749f37f9555413554650d3433a6b87d3d0fa09e1f90e19b229677fcbf13f2fdb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.134719Z digest=sha256:d3dd4e52e5069064cb6d63e83fbf0ed082641b54976fc15eb9310e0b3b0eec86

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=sha256:4446016b73c2a95b1f4eacbc72d9ead4a8530b4c124c6938d4683cda9e64d169

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:ed13e4f3941b3d8cd807849570e0a5be1f23f93d3bbde9267f9baed0e8a07429

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=sha256:90e86d66fd856e88665ff2b21320faa02beffdeea0b2c8b87a9ae5236e8d03c0

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=sha256:712374b2e7a6900e913550cfc1c4c6fcccb277aa0aedd28ecac8a552e82a0073

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.154549Z digest=sha256:65d39ad7e7a31b7bb20779abced180fc6bd05abfe55a8e65335ea49a150293bb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.158536Z digest=sha256:34d4339ad34871a1bb969b76a8ee598b97e675cad68c1ba8dfafa49396610f97

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=sha256:33bd613af201826ad936555323f57f9ea4fc68f280d13224374f306575012d8a

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:f845c9468e114ebb1ad9316dddb2018dc379c4a75c759945946607c7f10711b2

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:bc28550ba6ae29be855486a80cdc865c7e648f4d91d47450370255a422a3b885

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.173919Z digest=sha256:c050eea93a769292097bbb621c57aa19cef196c74cf7ff337f5919fd6e8ed799

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=sha256:7963baca84d3f64e93aea2ba311811a8a0ae1709afbf74c5ea64c77e54634250

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=sha256:1514b350278a9d58f6fab6f46f37a498dedd1e0f80c58fd00167cb0cd6cd2de5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.185030Z digest=sha256:a2009628fc049ab9339b827700919e6f41442d8fd15f08eab76c3cbd9a4db916

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.188622Z digest=sha256:79229330dad3baded654afb1acba08b561f83bcd4aa682ad06386fa344d59bd1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.192132Z digest=sha256:93a78f7b86492d01267840be553a83bb40332ed4d51f33bfe68631e62af394e2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.195773Z digest=sha256:b4c5589b9505f598b12c0c0fe2e14ceabbe82b17086c04b286c65fec0a962968

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:c2502be2ff546d26b5cc45da6b92cf856dfddcffa0f159bcf360cf7d62d09be3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.203243Z digest=sha256:5b2a5a5349ba0bf64ce649818247e1f2037775c604b96a4cdfee5850c5ec7f65

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.207295Z digest=sha256:ff0aab0d94433551015c64d8132b8352fdd494b54181cdf022cca465a2fff726

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.210289Z digest=sha256:bba76831a7553647c249a09ded351201e8ba2e7c223860114209140f1036e0ba

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.213368Z digest=sha256:2473684e953bb98c69e4078c3ad84a8406ddc93cd0e911dcfb15993863fa8347

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.216316Z digest=sha256:6b3dc796857b55d1dbce6bdb5f92505ef1f736458d56b493f6092d1d079096cb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.219284Z digest=sha256:29c8c99299b844a999edf2c8bb744830d0a4f6c888a700470cc4babb62e404c0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.222231Z digest=sha256:4f8b2051159a51c0706bd1570b817b3331cf13e86211703334d87520314ec7d7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.225612Z digest=sha256:7b3e7e255910c060a255f47f2ca6fe78ee58c5d7c91ab5883e090dae43d84b9d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.228635Z digest=sha256:548fc23942322660d0a922117c8a78cdd562f6dc5d00671f0a365569c8999701

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=sha256:310688f44a026399963f94cc422d4881db12378608b50f9284972d8677dc5466

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.235872Z digest=sha256:f5c4754ef0a279e541b8bd24d754e0e1f24f82a62f883c04fc7e3d3bbb55d7c1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.239657Z digest=sha256:aa55834bcf63ba8e8b1b7356fa1207d492cb70566f39d703c58b4cb90d04e2ba

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T21:49:01.243301Z digest=sha256:6dc1f9c05584188f3c9667b9a27d8cb01ab32829ba020371826a97bea34aafe9

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

Reference 21

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arxiv_id, observed 2026-05-10T13:45:27.122656Z

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source=pdf_text observed=2026-05-10T13:45:25.762070Z digest=sha256:56fd4a77439b618a155a87d097e49d417f0c54ab96e79d5ff08879050d8bf0f8