Paper Citation Record · LEDGER

DMRG Approach to Optimizing Two-Dimensional Tensor Networks

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 6 inbound Pith citation observations for arXiv:1908.08833.

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

pith.paper-citation-record.v1
1908.08833 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:33:11.723809Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:20:56.304173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:07:04.649524Z

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy12
unresolved26
parse uncertain0
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External citation measurements

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Outbound references

Observation 87d983a2-e286-476d-a77e-80aca414ba3c · outbound

This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T11:33:11.537038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b93494-7bb8-468c-ac97-805d81b19292 · outbound

This paper cites White, Phys.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks White, Phys

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:33:12.208658Z

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Observation 4698649f-6e7c-40ce-950c-31ddbd65b5c1 · outbound

This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 3

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Observation 54039ae3-c8cc-4c74-bfa5-24b310033de1 · outbound

This paper cites Schollw¨ ock, Rev.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Schollw¨ ock, Rev

Reference 4

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Observation 462fc938-e010-45a2-b336-3f3e64757cef · outbound

This paper cites Infinite size density matrix renormalization group, revisited.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Infinite size density matrix renormalization group, revisited

Reference 5

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Observation 3973b92a-1f64-45c5-8e8a-f2d90670125c · outbound

This paper cites ¨Ostlund and S.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks ¨Ostlund and S

Reference 6

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Observation 3672f236-8090-401c-b2d5-d655008d8b3c · outbound

This paper cites Dukelsky, M.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Dukelsky, M

Reference 7

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Observation 7edffc9e-043e-4e46-b9e7-85f651d194ac · outbound

This paper cites Schollw¨ ock, Annals of Physics 326, 96 (2011).

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Schollw¨ ock, Annals of Physics 326, 96 (2011)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T11:33:11.573213Z

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Observation 3bd5be54-92b7-419b-b74d-a1e494e78ff0 · outbound

This paper cites Or´ us, Annals of Physics349, 117 (2014).

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Or´ us, Annals of Physics349, 117 (2014)

Reference 9

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Observation 52d5fc63-396e-4e23-9e2b-9352a758381f · outbound

This paper cites Stoudenmire and S.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Stoudenmire and S

Reference 10

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 11

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Observation 41c1f1b5-9f37-4506-8a4d-c663ca3981d1 · outbound

This paper cites Chiral spin liquid phase of the triangular lattice Hubbard model: a density matrix renormalization group study.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Chiral spin liquid phase of the triangular lattice Hubbard model: a density matrix renormalization group study

Reference 12

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Observation a714f156-6e6f-4d11-ac85-6f614eb792db · outbound

This paper cites Wu, S.-S.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Wu, S.-S

Reference 13

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Observation 224d19a0-45bc-4ef9-b1e6-0ffc8644c83b · outbound

This paper cites Kurashige, G.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Kurashige, G

Reference 14

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 15

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Observation 4bc57760-8a88-482a-9b34-acf57403c5fb · outbound

This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 16

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Observation 8b86c3a6-b861-47d9-b1d3-45aa6b5e2e8e · outbound

This paper cites Verstraete, J.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Verstraete, J

Reference 17

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Observation 1a7a6ec3-437a-40c9-a3bc-ecdf09ecd181 · outbound

This paper cites Zwolak and G.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Zwolak and G

Reference 18

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Observation e7a27c90-174d-46d2-8e15-163f0eb6be11 · outbound

This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 19

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Observation 732d8fd4-c55e-4585-8f45-4b109385c59f · outbound

This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 20

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Observation d6d79d6b-300f-434e-879b-881a3462b94f · outbound

This paper cites Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions

Reference 21

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Observation 521a434b-ef2d-428e-8e35-df007001b13c · outbound

This paper cites Jordan, R.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Jordan, R

Reference 22

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Observation 2dde5922-e093-49e8-b9fd-4854d674194e · outbound

This paper cites Vanderstraeten, J.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Vanderstraeten, J

Reference 23

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This paper cites Corboz, Phys.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Corboz, Phys

Reference 24

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This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 25

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Observation e772b47c-140d-45d9-ba37-b4cb6e1457fa · outbound

This paper cites Haghshenas, M.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Haghshenas, M

Reference 26

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 27

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Depenbrock, I

Reference 28

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This paper cites an unresolved cited work.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 29

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Observation 6224bfd1-5c10-4ab5-89a4-61e939eb5101 · outbound

This paper cites Symmetric cluster expansions with tensor networks.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Symmetric cluster expansions with tensor networks

Reference 30

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Observation cdd643ac-4e41-45b9-ade3-5eb1f0bae037 · outbound

This paper cites Evenbly, Phys.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Evenbly, Phys

Reference 31

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Observation 9d414638-9a5b-416d-be82-5a9221847ec5 · outbound

This paper cites Algorithms for entanglement renormalization.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Algorithms for entanglement renormalization

Reference 32

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 33

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Bauer, G

Reference 34

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Observation f983662b-0a84-496a-8394-71722fb8dfba · outbound

This paper cites Rader and A.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Rader and A

Reference 35

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This paper cites Lubasch, J.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks Lubasch, J

Reference 36

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DMRG Approach to Optimizing Two-Dimensional Tensor Networks Unresolved cited work

Reference 37

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Observation 3e622d74-812a-4ce4-9ebf-7029fe6938d2 · outbound

This paper cites ITensor Library (Julia version 0.1),.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks ITensor Library (Julia version 0.1),

Reference 38

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Observation 3c002cd4-6015-46c6-bed9-72cdbd2578f9 · outbound

This paper cites ITensorsGPU.jl (version 0.1),.

DMRG Approach to Optimizing Two-Dimensional Tensor Networks ITensorsGPU.jl (version 0.1),

Reference 39

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 1f5ba9fd-5e83-4441-8d16-d8294f821e31 · inbound

Accurate simulation for finite projected entangled pair states in two dimensions cites this paper.

Accurate simulation for finite projected entangled pair states in two dimensions DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 74

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Observation 90c190b0-f59d-4bdf-853a-59f384464328 · inbound

Advantages of density in tensor network geometries for gradient based training cites this paper.

Advantages of density in tensor network geometries for gradient based training DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 36

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Observation c68f9797-139a-4966-9d2d-7e819934ecad · inbound

Diagonal Isometric Form for Tensor Network States in Two Dimensions cites this paper.

Diagonal Isometric Form for Tensor Network States in Two Dimensions DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 21

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Observation 58848b2b-4622-48c0-adab-32af15eca464 · inbound

Diagonal Isometric Form for Tensor Network States in Two Dimensions cites this paper.

Diagonal Isometric Form for Tensor Network States in Two Dimensions DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 27

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Observation 8b5cc604-4b27-481b-8e34-e43255df9c2a · inbound

Pauli propagation enables fast classical simulation of strongly correlated quantum systems cites this paper.

Pauli propagation enables fast classical simulation of strongly correlated quantum systems DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 22

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Observation 0adf1d32-b8fa-40a0-bcfe-1287ca5c76dd · inbound

Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks cites this paper.

Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:48:38.265495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.