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Paper Citation Record · LEDGER

Entanglement geometry separates circuit cutting, classical hardness, and trainability

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.17872.

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

pith.paper-citation-record.v1
2607.17872 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:53:56.954947Z

measured 23 of 23 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

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23 of 23 outbound references displayed

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Outbound references

Observation 2f5b911c-bbba-49b7-8d14-3bb9ed73b8ab · outbound

This paper cites Simulating large quantum circuits on a small quantum computer,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Simulating large quantum circuits on a small quantum computer,

Reference 1

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Observation 071f0b6e-6660-40c7-a133-a66f20f3a99b · outbound

This paper cites Circuit knitting with classical communica- tion,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Circuit knitting with classical communica- tion,

Reference 2

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source=pdf_text observed=2026-08-01T16:53:55.288833Z digest=sha256:2d0e8dc2c2de7b60f481dececc15db8de047f94a72b1099d712b1c222bc17a5d

Observation fb86414d-ef41-4d79-86e9-4d6af5dc547e · outbound

This paper cites Fast quantum circuit cutting with randomized measure- ments,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Fast quantum circuit cutting with randomized measure- ments,

Reference 3

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source=pdf_text observed=2026-08-01T16:53:55.380746Z digest=sha256:e073103921a2047bb4d2733a5872d8b338bcbc3796aa64ac2a21be12ef677e78

Observation 678cc5ae-a9d6-4890-838d-880abd7bc3d8 · outbound

This paper cites Circuit cutting with classical side information,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Circuit cutting with classical side information,

Reference 4

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source=pdf_text observed=2026-08-01T16:53:55.442632Z digest=sha256:593e305c5818b4f6ed75ce8d739636aa801808629d5ede4fba0de4562c7769a7

Observation d3591d33-8556-4a74-a8d1-46ac8a0ba390 · outbound

This paper cites Circuit cutting with non-maximally entangled states,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Circuit cutting with non-maximally entangled states,

Reference 5

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source=pdf_text observed=2026-08-01T16:53:55.511844Z digest=sha256:ec154ee6f28028622ae73eb62f4040d8cdc86ecbae2ea1cc08b099579438a1e0

Observation 6c536d22-8ccb-4968-82c5-beb21de7708d · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Does provable absence of barren plateaus imply classical simulability?

Reference 6

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source=pdf_text observed=2026-08-01T16:53:55.539879Z digest=sha256:58732ea8160e2c04679da993949c9a61dd69d577a0267e136c86bbf312b4fa19

Observation 383e89e4-d560-4148-84e7-97ca661ca704 · outbound

This paper cites Cutting is all you need: Execution of large- scale quantum neural networks on limited-qubit devices,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Cutting is all you need: Execution of large- scale quantum neural networks on limited-qubit devices,

Reference 7

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source=pdf_text observed=2026-08-01T16:53:55.608531Z digest=sha256:fb5000226221ac43837c8a2ef4f1e52938cde80c0ebbb3f3488bdf9e84f5b680

Observation 1fbbb871-e1b6-4262-92b2-60249de4473b · outbound

This paper cites DistributedEstimator: Distributed training of quantum neural networks via circuit cutting,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability DistributedEstimator: Distributed training of quantum neural networks via circuit cutting,

Reference 8

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source=pdf_text observed=2026-08-01T16:53:55.670336Z digest=sha256:88142bca98e8f6dea65f3787856a7cc9f533e243d42ac8020ece5f61ead3aa16

Observation 70df3e09-8e3c-4736-a085-cb702ea51eb5 · outbound

This paper cites Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices,

Reference 9

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source=pdf_text observed=2026-08-01T16:53:55.818683Z digest=sha256:56ed3fa0c8f3f3ae3dc396f9e1b89065ecd5550e8240c59f9623648aef1bf704

Observation 84d16701-06ac-41fa-a1e7-31f234373425 · outbound

This paper cites Overhead-constrained circuit knitting for variational quantum dynamics,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Overhead-constrained circuit knitting for variational quantum dynamics,

Reference 10

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source=pdf_text observed=2026-08-01T16:53:55.916481Z digest=sha256:aa13357721e04d28b564d41a52aba52e9f8cb1eb0e6150c882cbf5fdc64fb720

Observation 546239a7-72f8-44a8-8558-547036aa3fce · outbound

This paper cites QNAS: A neural archi- tecture search framework for accurate and efficient quantum neural networks,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability QNAS: A neural archi- tecture search framework for accurate and efficient quantum neural networks,

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Observation 73552a84-4c14-4330-b57e-9385cf587087 · outbound

This paper cites Distributed quantum computing via adaptive circuit knitting,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Distributed quantum computing via adaptive circuit knitting,

Reference 12

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Observation c37af45d-6a92-4e4d-808d-71df89b072ee · outbound

This paper cites An invitation to distributed quantum neural networks,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability An invitation to distributed quantum neural networks,

Reference 13

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source=pdf_text observed=2026-08-01T16:53:56.176121Z digest=sha256:ad189cd9e1a56f14ee07506cc246d8ecf544c34bcf455fde87d72023b2fc5320

Observation a0be5755-da48-4687-b686-955cad022bc8 · outbound

This paper cites Quantum convolutional neural networks,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Quantum convolutional neural networks,

Reference 14

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Observation 9a0c7ab4-6cc1-452c-bde8-729c6adbcb6a · outbound

This paper cites Distribution complexity of electronic structure simu- lations on quantum supercomputers,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Distribution complexity of electronic structure simu- lations on quantum supercomputers,

Reference 15

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Observation ddc2b6cc-e480-4307-b23d-238fd2d2dce3 · outbound

This paper cites Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems,

Reference 16

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Observation fd0fee46-c9d4-4164-96a5-336ff8e7a1d0 · outbound

This paper cites A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits,

Reference 17

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source=pdf_text observed=2026-08-01T16:53:56.471414Z digest=sha256:b7bc6b3ca66e9744f2eb12f75608ce2f08db62cf92a42d094c99c24484f74c23

Observation 62c3fae2-59b8-4058-a4fd-6a81b1bb71f8 · outbound

This paper cites Adversarial robustness in distributed quantum machine learning,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Adversarial robustness in distributed quantum machine learning,

Reference 18

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Observation 9b0a03c0-eb1a-49be-b461-00f32603ae66 · outbound

This paper cites Equivalence of quantum barren plateaus to cost concentration and narrow gorges,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Equivalence of quantum barren plateaus to cost concentration and narrow gorges,

Reference 19

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Observation 5593ca02-e4ba-4d4d-8b4a-5caf7f9a0f35 · outbound

This paper cites Quantum entanglement growth under random unitary dynamics,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Quantum entanglement growth under random unitary dynamics,

Reference 20

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Observation aac8eb97-2c0b-46c5-b902-4eb47c94ec45 · outbound

This paper cites Colloquium: Area laws for the entanglement entropy,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Colloquium: Area laws for the entanglement entropy,

Reference 21

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Observation c25fde70-acfe-4328-9f27-62cac597d7e6 · outbound

This paper cites quimb: A python package for quantum information and many- body calculations,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability quimb: A python package for quantum information and many- body calculations,

Reference 22

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Observation 1372dbbb-a928-4f03-ab98-1aab95918604 · outbound

This paper cites Application of a resource theory for magic states to fault-tolerant quantum computing,.

Entanglement geometry separates circuit cutting, classical hardness, and trainability Application of a resource theory for magic states to fault-tolerant quantum computing,

Reference 23

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Pith citing papers

No inbound Pith citation observations are available.