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Paper Citation Record · LEDGER

Learning Best Paths in Quantum Networks

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.12462.

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

pith.paper-citation-record.v1
2506.12462 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:52.854249Z

measured 32 of 32 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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  • verified fuzzy25
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27963fec-fe94-4ac1-9214-b8765c82c1b9 · outbound

This paper cites Quantum inter- net: A vision for the road ahead,.

Learning Best Paths in Quantum Networks Quantum inter- net: A vision for the road ahead,

Reference 1

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Observation ccdc6453-f53f-414f-8db0-f44ff53bb617 · outbound

This paper cites Quantum sensing,.

Learning Best Paths in Quantum Networks Quantum sensing,

Reference 2

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Observation 066ba634-8faf-4f6e-b30e-7e3a1762a21c · outbound

This paper cites Quantum cryptography: Public key distribution and coin tossing,.

Learning Best Paths in Quantum Networks Quantum cryptography: Public key distribution and coin tossing,

Reference 3

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Observation e0c1ce51-6d6f-4708-8051-8c1268068c81 · outbound

This paper cites an unresolved cited work.

Learning Best Paths in Quantum Networks Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-07T00:58:49.969540Z digest=sha256:f728fa1b4b59ff97439bb2a44b2a41016ad125e74aff3b4cd65c88c351c2731f

Observation 0fe9a19e-582d-4f51-bd64-cb9ba8d47cff · outbound

This paper cites Quantum repeaters: the role of imperfect local operations in quan- tum communication,.

Learning Best Paths in Quantum Networks Quantum repeaters: the role of imperfect local operations in quan- tum communication,

Reference 5

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source=pdf_text observed=2026-08-07T00:58:50.063476Z digest=sha256:9e52bf63aea65c3eaa1c07249a3456fface7c6031796184bbd84297ccee743ce

Observation e8fec3f5-4f60-4c5f-8bf4-fe3e0e37b22d · outbound

This paper cites Entanglement Swapping in Quantum Switches: Protocol Design and Stability Analysis.

Learning Best Paths in Quantum Networks Entanglement Swapping in Quantum Switches: Protocol Design and Stability Analysis

Reference 6

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source=pdf_text observed=2026-08-07T00:58:50.156271Z digest=sha256:9cca2fdf1912e7c657d58627ee8bb88ec461886629f855e582a3b68f7d81f07e

Observation 9542739e-ea55-4ecd-ac6d-876cc2364eca · outbound

This paper cites A single quantum cannot be cloned,.

Learning Best Paths in Quantum Networks A single quantum cannot be cloned,

Reference 7

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source=pdf_text observed=2026-08-07T00:58:50.253445Z digest=sha256:dcc54e72a1444384d80a31241080be9ce054bfdddf87043b9d7f15af2e3604e3

Observation 30651e27-f8e2-43c8-8c40-259534b03789 · outbound

This paper cites A benchmarking procedure for quantum networks,.

Learning Best Paths in Quantum Networks A benchmarking procedure for quantum networks,

Reference 8

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source=pdf_text observed=2026-08-07T00:58:50.393416Z digest=sha256:fbb1aef60dc2978e9814721c57b0d93305ba7d560116ad82794cfba947674184

Observation 6e9e0342-c6b2-4b79-beca-a3a27e3164af · outbound

This paper cites Netsquid, a net- work simulator for quantum information using discrete events,.

Learning Best Paths in Quantum Networks Netsquid, a net- work simulator for quantum information using discrete events,

Reference 9

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source=pdf_text observed=2026-08-07T00:58:50.482364Z digest=sha256:e358aacdd29397eda45eed9478c1e152d314582e8f76da80a8e34bd3f989a63e

Observation fcd3eca6-fff6-4dc2-acb7-10adfef33d86 · outbound

This paper cites Optimal architectures for long dis- tance quantum communication,.

Learning Best Paths in Quantum Networks Optimal architectures for long dis- tance quantum communication,

Reference 10

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source=pdf_text observed=2026-08-07T00:58:50.593729Z digest=sha256:7cd8f748e9c92f772fdc6368c8bdf3a144eb495353006807dce8279cab62c1c0

Observation 3707a253-382a-4e28-bd6a-883a2b25a1a6 · outbound

This paper cites Quantum communication without the necessity of quantum memories,.

Learning Best Paths in Quantum Networks Quantum communication without the necessity of quantum memories,

Reference 11

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Observation 512b5ea8-70a1-4509-a15c-ad385398a725 · outbound

This paper cites Charac- terizing quantum gates via randomized benchmarking,.

Learning Best Paths in Quantum Networks Charac- terizing quantum gates via randomized benchmarking,

Reference 12

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Observation 9511b8a6-afc3-4c09-b30b-81f683d4de2a · outbound

This paper cites The Heisenberg Representation of Quantum Computers.

Learning Best Paths in Quantum Networks The Heisenberg Representation of Quantum Computers

Reference 13

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source=pdf_text observed=2026-08-07T00:58:50.877791Z digest=sha256:0b6c755b53a641b1b893e1acfbac82f5a0b403487acee52f231041e72b9825e3

Observation 3ddabbe9-c817-4bd9-a149-6327f72cf8af · outbound

This paper cites Quantum network utility maximization,.

Learning Best Paths in Quantum Networks Quantum network utility maximization,

Reference 14

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source=pdf_text observed=2026-08-07T00:58:50.986204Z digest=sha256:0b780d1feabc57393393d292abc886676a6116f652fc600d309acae3918827bd

Observation f8c0fde9-3c20-4d0d-b292-6443dafb7de0 · outbound

This paper cites LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks,.

Learning Best Paths in Quantum Networks LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks,

Reference 15

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Observation cfba6b2e-9c94-4da9-bdab-c115a70eb8b5 · outbound

This paper cites A note on two problems in connexion with graphs,.

Learning Best Paths in Quantum Networks A note on two problems in connexion with graphs,

Reference 16

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Observation d3290fd6-4fe8-4972-b27d-d531aa0593c7 · outbound

This paper cites Combinatorial pure exploration of multi-armed ban- dits,.

Learning Best Paths in Quantum Networks Combinatorial pure exploration of multi-armed ban- dits,

Reference 17

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Observation 3b0bd72f-1472-4006-81dd-0f57bd622a40 · outbound

This paper cites Best arm identification in linear bandits with linear dimension dependency,.

Learning Best Paths in Quantum Networks Best arm identification in linear bandits with linear dimension dependency,

Reference 18

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Observation 1176ceeb-130c-4fe0-8ca9-57c17d90f312 · outbound

This paper cites Quantum cryptography based on Bell’s theorem,.

Learning Best Paths in Quantum Networks Quantum cryptography based on Bell’s theorem,

Reference 19

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Observation 66a193c2-0979-45e8-bb9a-5017afb85e58 · outbound

This paper cites Quantum cryptography using any two nonorthogonal states,.

Learning Best Paths in Quantum Networks Quantum cryptography using any two nonorthogonal states,

Reference 20

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source=pdf_text observed=2026-08-07T00:58:51.597831Z digest=sha256:84ed85d13629d9d86f966c11869a8dd155e5e6b3d533076a32aaf4cd48e1c43e

Observation e122a415-c185-4700-8a36-0c8f3237423e · outbound

This paper cites Simple proof of security of the BB84 quantum key distribution protocol,.

Learning Best Paths in Quantum Networks Simple proof of security of the BB84 quantum key distribution protocol,

Reference 21

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source=pdf_text observed=2026-08-07T00:58:51.688807Z digest=sha256:6a13d5f3bce220c1ca4d8286f6b47e21310c7dd3d3fcf2183e72d7420037faa8

Observation 8bf73675-4c2b-42dd-9a93-1e921a94119f · outbound

This paper cites Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning prob- lems,.

Learning Best Paths in Quantum Networks Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning prob- lems,

Reference 22

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Observation fd1781ac-1d6c-4fdd-85f9-e51d8b977aa4 · outbound

This paper cites Randomized benchmarking of quantum gates,.

Learning Best Paths in Quantum Networks Randomized benchmarking of quantum gates,

Reference 23

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source=pdf_text observed=2026-08-07T00:58:51.900850Z digest=sha256:0d9dc68437d7745e0cae7e77a50ad7b5167d80b4886b9df1b2ffe366cab67062

Observation 37ff14a3-7941-4440-83bc-8b217f62f05e · outbound

This paper cites Path selection for quantum repeater networks,.

Learning Best Paths in Quantum Networks Path selection for quantum repeater networks,

Reference 24

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source=pdf_text observed=2026-08-07T00:58:51.993395Z digest=sha256:73531491045a085f2595f1d9685e3708184bc52eb1a36b7284b37248a1602662

Observation 59716fcf-0ebe-4f7f-80e0-05f35afc88e4 · outbound

This paper cites Quantum BGP with Online Path Selection via Network Benchmarking,.

Learning Best Paths in Quantum Networks Quantum BGP with Online Path Selection via Network Benchmarking,

Reference 25

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source=pdf_text observed=2026-08-07T00:58:52.121411Z digest=sha256:ea94947efa96a348785f89aca1184e715f7a93bea8ed2ec28acd9a7137b9ea56

Observation daa93540-24c6-4ab8-9132-c81734f7668d · outbound

This paper cites E2E fidelity aware routing and purification for throughput maximization in quantum networks,.

Learning Best Paths in Quantum Networks E2E fidelity aware routing and purification for throughput maximization in quantum networks,

Reference 26

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source=pdf_text observed=2026-08-07T00:58:52.224095Z digest=sha256:502fc21ce85c46769ab1047aef0b25cd7da99ae80d413a937479568a23b72c12

Observation d06bf1a1-ff94-4ed2-b33c-0ff22d2c4d88 · outbound

This paper cites Multi- entanglement routing design over quantum networks,.

Learning Best Paths in Quantum Networks Multi- entanglement routing design over quantum networks,

Reference 27

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source=pdf_text observed=2026-08-07T00:58:52.264373Z digest=sha256:c1737e8316c6e160977adddf340c16729f4a17da1888b88313a896bde5a051f8

Observation a94a4212-e745-4b65-a577-76aed615c8a5 · outbound

This paper cites Quantum Networks with Multiple Service Providers: Transport Layer Protocols and Research Opportunities,.

Learning Best Paths in Quantum Networks Quantum Networks with Multiple Service Providers: Transport Layer Protocols and Research Opportunities,

Reference 28

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source=pdf_text observed=2026-08-07T00:58:52.353755Z digest=sha256:78bb1826e65d2422150de17814fe030fc6779d8b393ee003272a134df3dfb789

Observation 7ffd1737-0df2-4f18-b1f6-b53c3709fd95 · outbound

This paper cites Combinatorial Pure Ex- ploration with Bottleneck Reward Function,.

Learning Best Paths in Quantum Networks Combinatorial Pure Ex- ploration with Bottleneck Reward Function,

Reference 29

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source=pdf_text observed=2026-08-07T00:58:52.472525Z digest=sha256:dfbcf5c67c718561b03eb58aa039dd32b65e3dd228022d09694eb32f9ebefd25

Observation 9b85e3ef-87eb-4dab-9e99-8b47ee88bce3 · outbound

This paper cites Therefore, we have P(∩ ∞ t=1Et)⩾1− ∞X t=1 P(¬Et) (a) ⩾1− ∞X t=1 δ 2t2 = 1− π2 12 δ⩾1−δ, where inequality (a) is due to (10).

Learning Best Paths in Quantum Networks Therefore, we have P(∩ ∞ t=1Et)⩾1− ∞X t=1 P(¬Et) (a) ⩾1− ∞X t=1 δ 2t2 = 1− π2 12 δ⩾1−δ, where inequality (a) is due to (10)

Reference 30

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source=pdf_text observed=2026-08-07T00:58:52.601273Z digest=sha256:317550271398bee9a9ca5cef5b40db936992afe2bb42428f529796131df5bdf3

Observation bde5bc47-f49c-4b12-8b45-714635e5a432 · outbound

This paper cites That is, when the algorithm terminates at time slott, the output arm ˆkt is equal to the best pathk ∗.

Learning Best Paths in Quantum Networks That is, when the algorithm terminates at time slott, the output arm ˆkt is equal to the best pathk ∗

Reference 31

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source=pdf_text observed=2026-08-07T00:58:52.719697Z digest=sha256:251493684556872009596257ed3887ca2a9a5ab7bbbad6ddf6d30929a537c5d0

Observation 09934f30-9c90-4ccd-9da2-7aac7dc0b302 · outbound

This paper cites To prove the above statement via contradiction, we assume thatℓ t =ℓ ′ andrad ℓ′,t ⩽ ∆ℓ′ 6Lmax.

Learning Best Paths in Quantum Networks To prove the above statement via contradiction, we assume thatℓ t =ℓ ′ andrad ℓ′,t ⩽ ∆ℓ′ 6Lmax

Reference 32

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source=pdf_text observed=2026-08-07T00:58:52.854249Z digest=sha256:710bc5c98df69d0619835dbe87db783d2fc3ed5dfce6c9f3043416325dd023f4

Pith citing papers

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