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Paper Citation Record · LEDGER

Simulating matrix models with tensor networks

As of 18 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 2026-08-18T06:34:40.430872+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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source=pdf_text observed=2026-08-11T21:49:00.955518Z digest=sha256:0071cce3714f902a97ae2ddc67a1f08b9db0e43700e6fab764b52449dfe5208b

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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source=pdf_text observed=2026-08-11T21:49:00.962849Z digest=sha256:f1efe0a9f4d0cdd762b2cfb0ae05696ef3a94866e062902509dfa628b4883bf1

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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source=pdf_text observed=2026-08-11T21:49:00.978296Z digest=sha256:b034e2f7945764c2ef32c2d93e3d7f81e4edc5f03b244197fcc6905e8f62c14a

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=sha256:008410cfe803ce91609053d02639b38ececc0195585b8dd3a561687f7beedff4

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=sha256:9e095a7941b9794f6e341a93dbbf644191d3ee4d075451e5883ad3dcb54bdf36

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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local_arxiv, observed 2026-08-11T21:49:01.866883Z

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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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local_arxiv, observed 2026-08-11T21:49:01.780917Z

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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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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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local_arxiv, observed 2026-08-11T21:49:01.736923Z

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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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local_arxiv, observed 2026-08-11T21:49:01.721833Z

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

source=pdf_text observed=2026-08-11T21:49:01.098336Z digest=sha256:715dca604117eebd31703aed68510112145aae0e62ff4b7ba43d393e17b8050b

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

source=pdf_text observed=2026-08-11T21:49:01.102410Z digest=sha256:80c3feebcd8b7d575978b602a3fc60aaa937cbcac2f9b5ca5a4ac99ef8719933

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=sha256:8bbd127e74b23db89fdd5b86ec46656fef34c5ab1724ae0c330925449d7d3430

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:c9782746807b525823a513016ec525182741498b9adf897b5a260c4053aeb4d8

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

source=pdf_text observed=2026-08-11T21:49:01.115175Z digest=sha256:ea5c341e66ae9b68342fe3e83c4a8c3bbe64b61f7045bffe4421d6d30381059b

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:ca3690985ddc42bcba505914833bb6bc8e7518a66420680c9e97080896cac06a

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=sha256:85edeb0f666bf27848742b50732a2962d785279b83d99d19ac71a301523e7e7c

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

source=pdf_text observed=2026-08-11T21:49:01.127630Z digest=sha256:cb52156262111793a3cd63884a61cba1423fb69b6e89f91b659d1a6c348dfdc8

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:a93969a00f9a4af498522257f3f0de66d43ae4f5151197457e201910e2d9822d

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

source=pdf_text observed=2026-08-11T21:49:01.134719Z digest=sha256:a6ee2ab8a9eafe10d7a8868f3f3dca1a7f4a4c1bc2d3a71688391c9c6622f794

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=sha256:742d9907273f99214d434b8bed3eb1d03cf4d175ca3cda34a2abf5499cc241bb

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=sha256:8c9d8198e140420a70267a14dc54805f9faba247e9b48bf0fcf96185d2588acc

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=sha256:35e3ba8ab6d14c2f97eba4d039afa978fc9a11a45fadf1959767925db9f3f7ca

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=sha256:2674807581bc84d1b0abfc2aebe4d771aafc77099e3869b6019c7c61cbf4c805

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

source=pdf_text observed=2026-08-11T21:49:01.154549Z digest=sha256:5e7102a2eae632f82a3cdfa86e796da03038af0a92a9cef3728a94f9b97ba313

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

source=pdf_text observed=2026-08-11T21:49:01.158536Z digest=sha256:ca8cb571cf111283ddf3eb5ff52c9acebd63916ffb1b6d1b988b0f3ca0b618fc

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:faee7f3b676488bce9291a5a6ccb56495e1a19b5d37ce9c694e02d286c74ab44

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:fbb15dea4c87a2583fbe801bfa216bb56af361754e3ce84c04beae2fc1110754

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:ba4d3336663de0c8f6d141151069eba782851de13c1b0fb05ebaef93d3d6dd6b

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

source=pdf_text observed=2026-08-11T21:49:01.173919Z digest=sha256:c93107d33def4a9dc0b15f50382879e261af042bb11635ba6a5f6e7b709658dd

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=sha256:83a831de32adca07c875dc62daf30bdb0ce7ed8af643a6bfa2894afd49f02f73

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=sha256:53363c222584c4cc21e5c6fedba7e6b1f37b50f6e03d743049abea01ff9424aa

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

source=pdf_text observed=2026-08-11T21:49:01.185030Z digest=sha256:e976be1f264167ec4758b901c4632e87836b9e22b75b1cc85fe577a348af242d

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

source=pdf_text observed=2026-08-11T21:49:01.188622Z digest=sha256:f3be3fa1351e7b0ed1ec46669e8e6c8f27c174e6495b423c07178f65ed7eb8f1

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

source=pdf_text observed=2026-08-11T21:49:01.192132Z digest=sha256:1c3abbab593f705ed3e00659c91a7edf31ec3d4a8e0be75662c1cae0cb91234a

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

source=pdf_text observed=2026-08-11T21:49:01.195773Z digest=sha256:f3ea378486267514144ce049d6ad3de101d07b8e51bc064289f119f7d77e4ddf

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=sha256:378dfd14e6dfbf54047096710f5b5a040ffac4ee3e02e08770d3caa9f16234b8

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

source=pdf_text observed=2026-08-11T21:49:01.203243Z digest=sha256:544d40e4cc646960ff543e840a3b6e77aa9fca065cf1c84b3495bf72088315f9

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

source=pdf_text observed=2026-08-11T21:49:01.207295Z digest=sha256:c107b1fdf825bfb3a620ac28807fc627d723f14d3d2533a8234c32fe580f159f

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

source=pdf_text observed=2026-08-11T21:49:01.210289Z digest=sha256:dc8dea23f445e806349a312d818b03da299694ec35f8b015bf7cb9009e25f101

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

source=pdf_text observed=2026-08-11T21:49:01.213368Z digest=sha256:7ee9814cbbf4fcbba951ba048679d32b558a7660cd4aade09511095f3aeb482d

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

source=pdf_text observed=2026-08-11T21:49:01.216316Z digest=sha256:290148563f78f4325e6419e2c83b4827d5325a24769093327cca705072ec0ffd

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

source=pdf_text observed=2026-08-11T21:49:01.219284Z digest=sha256:c9ed463af261700377df8548acbd8ad126081f4bedb5866f674c533ce21f90a0

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

source=pdf_text observed=2026-08-11T21:49:01.222231Z digest=sha256:a4a9592dd7f90db6035df8cdf90f7770dd0a9e3b060eac255eac2283ec5aa6a8

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

source=pdf_text observed=2026-08-11T21:49:01.225612Z digest=sha256:96de310a5eda5de7c716875344293a8708464489a57ad5607e47081a396b987d

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

source=pdf_text observed=2026-08-11T21:49:01.228635Z digest=sha256:c0fcf914feccc4798f61adbe962583b53db92584fa374cc55fff296e975765d4

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=sha256:9328d23769887debfd2c623bce64c07e298f375eae5d1adee3068cb1a89fbc2b

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

source=pdf_text observed=2026-08-11T21:49:01.235872Z digest=sha256:68ae3d4c6796bc4d863585aadf04f02f0b1b55bda15f081575fbc9589908019f

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

source=pdf_text observed=2026-08-11T21:49:01.239657Z digest=sha256:6f574c86e7a0a7e474d06e378d8f89ae665a88048acc5c2cba5dbbb95fc4d64b

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

source=pdf_text observed=2026-08-11T21:49:01.243301Z digest=sha256:6783d84acda71010a69d4a4d566cbbf11f8e107501f66a38b0e09e4ef2aab792

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T13:45:25.762070Z digest=sha256:ded24fa7d019c51c8f600fd6392aa6a8b3e46b0866c6e07ca540cbd0dd7aaab0