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Paper Citation Record · LEDGER

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2412.12773.

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

pith.paper-citation-record.v1
2412.12773 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:54:53.206021Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:07:35.755764Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.000698Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55b73c36-9758-4de3-9cfb-f13cb5d54b4b · outbound

This paper cites Then, to apply a full layer in the circuit, the Trotter-Suzuki decomposition formula in Eq.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Then, to apply a full layer in the circuit, the Trotter-Suzuki decomposition formula in Eq

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9adbc5f5-33ee-4d77-a266-5f2b1cab3a2e · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.108604Z digest=sha256:efbc56107208cf05bce103fb94786549861c1eb0b4a1af6ff48054770a6121a3

Observation 80a94a07-bae9-4435-a699-f822fc37f89d · outbound

This paper cites An effective qubit encoding scheme is essential to translate the binary decision vari- ables to quantum computation.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem An effective qubit encoding scheme is essential to translate the binary decision vari- ables to quantum computation

Reference 3

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source=pdf_text observed=2026-08-11T13:54:53.112643Z digest=sha256:8344cea42352a22f0e970a362ad63ee27a6c5de7544749546477b8bfcc716139

Observation 8ad1a28e-579f-4a74-9e20-2cb8817150da · outbound

This paper cites This is illustrated in Figure 3, where the INTERP strat- egy was applied to an instance of 6 routes and a low average valency of 0.66 in the route graph.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem This is illustrated in Figure 3, where the INTERP strat- egy was applied to an instance of 6 routes and a low average valency of 0.66 in the route graph

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.116999Z digest=sha256:e4efe29b67f5bc50f64343f81f7416ddc36599459ee8afde6949e0bac50cf878

Observation 58ee536f-1c17-4c92-9133-f43735aa20c2 · outbound

This paper cites The INTERP strategy was used for the results, executing each instance 5 times to achieve more reliable results.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem The INTERP strategy was used for the results, executing each instance 5 times to achieve more reliable results

Reference 5

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raw_fallback, observed 2026-08-11T13:54:53.462337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.120635Z digest=sha256:329a63c5590ad59a65e6ab8bc3db6b1be2082a22d584a2e0775c16f50c588b8f

Observation 227cf772-20a1-4679-905b-365dcf206272 · outbound

This paper cites Gr¨ onkvist,The Tail Assignment Problem, Phd thesis, Chalmers University of Technology and G¨ oteborg Uni- versity (2005).

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Gr¨ onkvist,The Tail Assignment Problem, Phd thesis, Chalmers University of Technology and G¨ oteborg Uni- versity (2005)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.124785Z digest=sha256:2ab3a07a439f1f354e4756f50af5070aee23fd418ab546218759b250abeb2c70

Observation 02d3120e-5b25-4e9b-a8e2-8e2f6fd92b72 · outbound

This paper cites Ruther, N.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Ruther, N

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.128433Z digest=sha256:389e9e411408b7d207100a8a1c2a019639290269af29d6ef5dbf9d2737fbf189

Observation 6a05b7da-7a43-4cdc-9c92-d40b93fd3ea8 · outbound

This paper cites Montoito, Application of the Simulated Annealing with Adaptive Local Neighborhood Search to the Tail Assign- ment Problem The Case Study of TAP , Ph.D.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Montoito, Application of the Simulated Annealing with Adaptive Local Neighborhood Search to the Tail Assign- ment Problem The Case Study of TAP , Ph.D

Reference 8

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.132146Z digest=sha256:416f91a30127697949e22fad83e297af7af288a7640aff729f6396b34809762a

Observation ca330a8a-a5b0-41e3-b7a5-ee51ae0bc80b · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.135881Z digest=sha256:94d90fd26e4f2832dd27df1c5ba4ec54c29a05aa7da3fa440df4bb010b94d018

Observation 65b01dea-b4e0-4f22-9f1d-d5d82b6aca19 · outbound

This paper cites Vikst ˚ al, M.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Vikst ˚ al, M

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.140071Z digest=sha256:a3f1e4d722213dfdd32387f1a4449224d9babfd68b234f9e5d016a5fe822eeb6

Observation 3e86ba41-d24f-45a3-a8e4-386ef21f1767 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem A Quantum Approximate Optimization Algorithm

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:53.144645Z digest=sha256:6875d0d2b6a6796490dfbaa7da9692a274c4533b1d4b583a13fac2b0ece0a5e3

Observation b862b342-5778-434e-bbc7-b5f1fdc7be10 · outbound

This paper cites Zhou, S.-T.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Zhou, S.-T

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.149207Z digest=sha256:d5d0fe4368f88b7ad0165c75f49b57ba7932414a01ea9672a93db7beb209fbc3

Observation 1eb49561-9ec3-444f-91b1-1a834a292147 · outbound

This paper cites Quantum Supremacy through the Quantum Approximate Optimization Algorithm.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Quantum Supremacy through the Quantum Approximate Optimization Algorithm

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:53.152715Z digest=sha256:5ea3c9a1c479086d76fdf63867d2f62f07123c92cf9cd544ccaefc2e57bb685e

Observation 4f9825b2-8e97-4d14-b815-0607dec9752a · outbound

This paper cites Willsch, D.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Willsch, D

Reference 14

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source=pdf_text observed=2026-08-11T13:54:53.156566Z digest=sha256:7ff070693146b5b88079d539971e86f2ab0c1d2b1246d4a55b17e9345fe6992e

Observation 3bfb1803-6907-463a-9d3b-a5c297b51088 · outbound

This paper cites Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:53.159961Z digest=sha256:333a80051853956fd3f446a0dd66147fc6ebf4f0e2aa72bc1ac613faacbcbcc9

Observation 3f6b143f-3ddf-4886-81aa-c72b43193581 · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.163799Z digest=sha256:6ce546b5173efcf89ae3793a8409ecd786478a7809e1e6a03349b158a1f74e6f

Observation c7ed53cf-747c-4936-a18d-6ab53d20e5b4 · outbound

This paper cites Preskill, Quantum computing in the nisq era and be- yond, Quantum 2, 79 (2018).

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Preskill, Quantum computing in the nisq era and be- yond, Quantum 2, 79 (2018)

Reference 17

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source=pdf_text observed=2026-08-11T13:54:53.167084Z digest=sha256:8986643123298fcb1a9b026f35eec82e222ef94076d3a3a4f38185af8b78b8c4

Observation 9d2d2c37-52c7-42da-a930-2f16d3c73404 · outbound

This paper cites Hadfield, Z.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Hadfield, Z

Reference 18

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source=pdf_text observed=2026-08-11T13:54:53.170567Z digest=sha256:b9e204677c20773612ac06b659fcac612ddf3ae94969885b6a9f6606f3a51ac3

Observation d49f1776-3dc2-407c-8dae-b3c54ecf0969 · outbound

This paper cites Blekos, D.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Blekos, D

Reference 19

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source=pdf_text observed=2026-08-11T13:54:53.173706Z digest=sha256:8e01ecec689af5fe2243c3414c1cdec99d80fec583392d24b38018687574cb08

Observation 871e081e-31b4-490f-aeb5-4e7921dbd84e · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-11T13:54:53.177475Z digest=sha256:29f77adb1cd8ed3cc6c2520dc5df1d568b43ecf9f719279f0d6bd13cbb2f59a2

Observation 7d8cff40-d173-47ae-af1c-94a855f1fafe · outbound

This paper cites aspx?gnoyr_VQ=FGJ&QO_fu146_anzr=b0-gvzr.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem aspx?gnoyr_VQ=FGJ&QO_fu146_anzr=b0-gvzr

Reference 21

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.180653Z digest=sha256:79663add6fa18c156dd706ab383c356f0b32183eaba668401dc5ade54010d5f1

Observation 570cd794-a23c-4cfb-aeda-f62937d281bf · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.184490Z digest=sha256:7ca3e7dce9fd7bc7e9f4f23b4044ef47dfa07c3fb3e7943bdae2fd28069d04bb

Observation 57910ef5-82a5-4bb4-8030-9ad42660ebde · outbound

This paper cites Towards Robust Benchmarking of Quantum Optimization Algorithms.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Towards Robust Benchmarking of Quantum Optimization Algorithms

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:54:53.188384Z digest=sha256:2a42ff038f4744243a9071d66c72818a1eecce77d2bb40b58e1734ad9af8f9f5

Observation d079ff70-f530-40e8-b7ad-8d7510bf4600 · outbound

This paper cites Barnhart, E.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Barnhart, E

Reference 24

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T13:54:53.192309Z digest=sha256:c7fe483617dddcd56d22e0cbc5dd14f79d1634fff028dd0e0780a590b05063bb

Observation 7f7f3cd2-5e47-4945-9aef-05eda25a9232 · outbound

This paper cites Yarkoni, E.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Yarkoni, E

Reference 25

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source=pdf_text observed=2026-08-11T13:54:53.195799Z digest=sha256:19a6408b14cd50b7b0d338a57a6886b0c3c445317bd4b6deaaa7a27a5f96ce8f

Observation 325175a8-7bad-42a1-a2b1-8ada1b8febfb · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-11T13:54:53.199258Z digest=sha256:2d1314056651882f10d1db938725442421c7ba0d829edb70e6c758b86daab7ba

Observation 20f6932b-3253-4347-852f-df0e2a23dfce · outbound

This paper cites Shaydulin, I.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Shaydulin, I

Reference 27

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source=pdf_text observed=2026-08-11T13:54:53.202567Z digest=sha256:7a5246fbdd000cf78552633ffbb4b0a9e7fbba0ae7a4ad702320b13b8447be5d

Observation 7fcf10c6-036b-4199-969b-497bf962dda4 · outbound

This paper cites an unresolved cited work.

Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-11T13:54:53.206021Z digest=sha256:ab42e52d6fc588f35d0ca163299e8da7388bfe900fea632091a31af7fd8de709

Pith citing papers

Observation f82c2c1f-93bd-4214-9178-57b6ee17abfc · inbound

Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm cites this paper.

Rolling Stock Planning Using the Quantum Approximate Optimization Algorithm Optimization of Flight Routes: Quantum Approximate Optimization Algorithm for the Tail Assignment Problem

Reference 6

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arxiv_id, observed 2026-07-03T05:47:41.002228Z

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