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Paper Citation Record · LEDGER

Programming guide for solving constraint satisfaction problems with tensor networks

As of 14 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2501.00227.

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

pith.paper-citation-record.v1
2501.00227 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:35.376529Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

63 of 63 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 280f36dd-01c4-4c2a-8310-753f40dab954 · outbound

This paper cites A First-Order Logic Davis-Putnam-Logemann-Loveland Procedure.AI in the new Millenium, Morgan Kaufmann, Seattle, 2002.

Programming guide for solving constraint satisfaction problems with tensor networks A First-Order Logic Davis-Putnam-Logemann-Loveland Procedure.AI in the new Millenium, Morgan Kaufmann, Seattle, 2002

Reference 1

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 2

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This paper cites Effective Extensible Programming: Unleashing Julia on GPUs.

Programming guide for solving constraint satisfaction problems with tensor networks Effective Extensible Programming: Unleashing Julia on GPUs

Reference 3

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This paper cites Why is Julia fast? Can it be faster?.

Programming guide for solving constraint satisfaction problems with tensor networks Why is Julia fast? Can it be faster?

Reference 4

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Observation 7beda4c3-05d2-4c47-a066-eabc365d64ac · outbound

This paper cites Julia: A Fast Dynamic Language for Technical Computing.

Programming guide for solving constraint satisfaction problems with tensor networks Julia: A Fast Dynamic Language for Technical Computing

Reference 5

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Observation 32a88403-d971-408b-82e0-1a5293fc5a4c · outbound

This paper cites IOS press, 2009.

Programming guide for solving constraint satisfaction problems with tensor networks IOS press, 2009

Reference 6

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Observation 29bb744d-f7ac-40b0-b9b7-8af3fb145f0c · outbound

This paper cites Conflict-Driven Clause Learning Sat Solvers.

Programming guide for solving constraint satisfaction problems with tensor networks Conflict-Driven Clause Learning Sat Solvers

Reference 7

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Observation 96bda7a0-928d-4e42-aaa1-5952714700f1 · outbound

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 8

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This paper cites Pardalos.Maximum Independent Set and Related Problems, with Appli- cations.

Programming guide for solving constraint satisfaction problems with tensor networks Pardalos.Maximum Independent Set and Related Problems, with Appli- cations

Reference 9

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This paper cites Lukin, July 2023.

Programming guide for solving constraint satisfaction problems with tensor networks Lukin, July 2023

Reference 10

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 11

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Observation 8c2f29a0-b9d3-4597-b4a0-f6cced3c990a · outbound

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 12

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Observation e282874b-d9a0-49d9-accf-f0ea22c35858 · outbound

This paper cites Clark, Charles J.

Programming guide for solving constraint satisfaction problems with tensor networks Clark, Charles J

Reference 13

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This paper cites A Compendium of NP optimization Problems, 1995.

Programming guide for solving constraint satisfaction problems with tensor networks A Compendium of NP optimization Problems, 1995

Reference 14

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Observation 42095980-ed55-4b89-8a71-459afc7b2e90 · outbound

This paper cites InProceedings 2001 IEEE international conference on data mining, pages 107–114.

Programming guide for solving constraint satisfaction problems with tensor networks InProceedings 2001 IEEE international conference on data mining, pages 107–114

Reference 15

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 16

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Observation be83c0db-7652-45b7-a49d-49d97e2b89db · outbound

This paper cites Canadian Journal of mathematics, 17:449–467, 1965.

Programming guide for solving constraint satisfaction problems with tensor networks Canadian Journal of mathematics, 17:449–467, 1965

Reference 17

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 18

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 19

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 20

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 21

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This paper cites Proceedings of the National Academy of Sciences, 118(41), 2021.

Programming guide for solving constraint satisfaction problems with tensor networks Proceedings of the National Academy of Sciences, 118(41), 2021

Reference 22

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This paper cites Automated Discovery of Branching Rules with Optimal Complexity for the Maximum Independent Set Problem.

Programming guide for solving constraint satisfaction problems with tensor networks Automated Discovery of Branching Rules with Optimal Complexity for the Maximum Independent Set Problem

Reference 23

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Programming guide for solving constraint satisfaction problems with tensor networks A Tutorial on Formulating and Using QUBO Models

Reference 24

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Programming guide for solving constraint satisfaction problems with tensor networks Hyper-Optimized Tensor Network Contraction

Reference 25

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Observation 328fb1ed-9f36-4d0c-878a-2d035488d342 · outbound

This paper cites In Proceedings of 37th Conference on Foundations of Computer Science, pages 627–636.

Programming guide for solving constraint satisfaction problems with tensor networks In Proceedings of 37th Conference on Foundations of Computer Science, pages 627–636

Reference 26

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This paper cites John Wiley & Sons, 2011.

Programming guide for solving constraint satisfaction problems with tensor networks John Wiley & Sons, 2011

Reference 27

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Programming guide for solving constraint satisfaction problems with tensor networks Multi-Tensor Contraction for XEB Verification of Quantum Circuits

Reference 28

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 29

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Programming guide for solving constraint satisfaction problems with tensor networks Springer, 2010

Reference 30

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Programming guide for solving constraint satisfaction problems with tensor networks Werneck.J

Reference 31

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This paper cites Hanson, David R Kincaid, and Fred T.

Programming guide for solving constraint satisfaction problems with tensor networks Hanson, David R Kincaid, and Fred T

Reference 32

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 33

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Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 34

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This paper cites Lukin, Hannes Pichler, and Sheng-Tao Wang.

Programming guide for solving constraint satisfaction problems with tensor networks Lukin, Hannes Pichler, and Sheng-Tao Wang

Reference 35

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Observation 8c7ebf94-2f0b-4780-9ea3-b69acb771aad · outbound

This paper cites American Mathematical Soc., 2009.

Programming guide for solving constraint satisfaction problems with tensor networks American Mathematical Soc., 2009

Reference 36

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Observation e8e5c18a-6638-4724-a4a4-60b38de321a8 · outbound

This paper cites Mathematical Programming Computation, 15:581–589, 2023.

Programming guide for solving constraint satisfaction problems with tensor networks Mathematical Programming Computation, 15:581–589, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.932763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.250249Z digest=sha256:c416e0684dcc1fb765d362f769b5ba48dfee010df25d40c3fc4bc5ee87027832

Observation b228730b-8241-4864-8615-05d2730c6cd9 · outbound

This paper cites Frontiers in physics, 2:5, 2014.

Programming guide for solving constraint satisfaction problems with tensor networks Frontiers in physics, 2:5, 2014

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.917229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.255061Z digest=sha256:483f9cbae06e95541eb78d03ffd95c4612643e99de02cb00a4805ac1f8c0479e

Observation d8d134db-0fd5-471c-9357-f55cb2285bca · outbound

This paper cites TensorOperations.jl, 10 2023.

Programming guide for solving constraint satisfaction problems with tensor networks TensorOperations.jl, 10 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.902118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.259930Z digest=sha256:cafbb31195749cb25530f248b004fa25682ebb0538ab8c1cc5029bb32e5bcefe

Observation 529e456b-80e9-4fb9-9791-a2e0ad9276d8 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.887017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.265131Z digest=sha256:c479f7d02981f52409c803a90cde627baab3cf56817bbc33d5151bf5209097cb

Observation 4df18b16-7ea3-4282-b2cd-f588067af785 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.871399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.270047Z digest=sha256:8824c2d8a59e8ae12081956ce44d41d6bf0d4682e2484ff9d6a5bebbb1994d45

Observation 7e7fe47c-b688-41e0-af15-d55c02815f80 · outbound

This paper cites Markov and Yaoyun Shi.SIAM Journal on Computing, 38(3):963–981, January 2008.

Programming guide for solving constraint satisfaction problems with tensor networks Markov and Yaoyun Shi.SIAM Journal on Computing, 38(3):963–981, January 2008

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.854902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.274723Z digest=sha256:c7458b3181d0ab861c5d2679ab808707f45c88ff87af0d785db85b5b5eb3f7cb

Observation 049b8889-42fe-43fe-9aea-ff870012b6d2 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.838989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.279648Z digest=sha256:37cafb2c6e500edce6de51b3d7fd17c913d813d7941b5cc6730704e25bf459b9

Observation 49e1e3b6-a331-4d32-9cc1-e835a4cc1d6f · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.821923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.284840Z digest=sha256:268d17d31064bc616a5ae2e29a89fc81dd35cd150d80aeeedfc7ca05c3ece37e

Observation d2ab1a98-34af-4b3f-9ee8-3dd368583e0c · outbound

This paper cites A survey of Modern Integer Factorization Algorithms.CWI quarterly, 7(4):337–366, 1994.

Programming guide for solving constraint satisfaction problems with tensor networks A survey of Modern Integer Factorization Algorithms.CWI quarterly, 7(4):337–366, 1994

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.806648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.289573Z digest=sha256:375e29109a91cb8c2162c5d48029805fec181cf17eb1e9659e72985c7d9d26d6

Observation 10aa772a-c23b-4270-b2a0-d000e9fc0f7f · outbound

This paper cites Oxford University Press, 2011.

Programming guide for solving constraint satisfaction problems with tensor networks Oxford University Press, 2011

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.790833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.294339Z digest=sha256:2c5b01279ba8469ec4c5c478ea97481764578b8566faed49caa18d1a8db7cd50

Observation 16361629-0a62-4603-8b99-011b41e356d3 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.775838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.298929Z digest=sha256:def7af4e5f84d5cad41f31c74bee549f481deb4a95af4967f722ca8938c6cf37

Observation 7f307fc0-e992-48eb-bbe1-ccf38eba97a2 · outbound

This paper cites PRX Quantum, 4(1):010316, 2023.

Programming guide for solving constraint satisfaction problems with tensor networks PRX Quantum, 4(1):010316, 2023

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.760481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.303770Z digest=sha256:131109f13e0817173594ae6cb7d3fcc5e7e771aaeb239b7b56f8700d1aa60a1a

Observation 14316739-eeb2-4789-afbe-0ad69ee883b6 · outbound

This paper cites Pearce and Katherine A.

Programming guide for solving constraint satisfaction problems with tensor networks Pearce and Katherine A

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.744846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.308644Z digest=sha256:a25b5a4ca4f87c51fb187ce2915e0932264fcd8b29109ff1ebdfce8ae0d19ec2

Observation 0368cd02-64e6-49b4-9048-7aaf8ec41b01 · outbound

This paper cites (c), 2018.

Programming guide for solving constraint satisfaction problems with tensor networks (c), 2018

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.728396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.313517Z digest=sha256:12b20210ffa1a2c2e4b5cb617c427cd2652f5f15ef1cf68b69536a85eb319dcc

Observation 08cb9a2d-a3fa-468d-a69c-331e4d6ff63b · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.711843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.318404Z digest=sha256:63e9d0d9beb4021d0d195b1016cdca20013d8788f7b98ad82afe587a48e6c3e7

Observation 73ba7979-4ab0-4a2e-ba90-81007eb08cb4 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.696563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.323282Z digest=sha256:b368f49836f164f5b0f20ad6f42bf4353921155d689560353689188500d4d9d6

Observation 38326c5c-c784-4a2e-bbf1-93f7e7c3d8b5 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.680297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.328110Z digest=sha256:29221a557f6c08b036a9da6f620defec03e79ac51270621a4f310190d2b0d98a

Observation 39f9b798-06ac-49e6-91c9-00cf3981edb8 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.664165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.332961Z digest=sha256:fb434241b3022bf656cf6ff28379e45ef54329ba887d596e46bf220241eb8a2c

Observation 0afc4c56-1ba0-4ef1-9e59-5aee4d50ba25 · outbound

This paper cites InProceedings of the tenth annual ACM symposium on Theory of computing, pages 216–226, 1978.

Programming guide for solving constraint satisfaction problems with tensor networks InProceedings of the tenth annual ACM symposium on Theory of computing, pages 216–226, 1978

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.646742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.337561Z digest=sha256:96f22f04ab71becefd07272067e95927e4c34413de1d9dbaca1756189782be44

Observation b5f470a7-3e0f-4f5b-862e-486094fad546 · outbound

This paper cites ACM Journal of Experimental Algorithmics, 27:1–39, 2023.

Programming guide for solving constraint satisfaction problems with tensor networks ACM Journal of Experimental Algorithmics, 27:1–39, 2023

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.629595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.342326Z digest=sha256:97861b18884a0b90520ec9cd3c762ca83f509115ac72d34b85115f2a698992d4

Observation f8143ffd-e1c8-42f4-800f-aa318e71535f · outbound

This paper cites Scott and Alan D.

Programming guide for solving constraint satisfaction problems with tensor networks Scott and Alan D

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.613732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.347115Z digest=sha256:9fe0f16488ed0872b297776341c33d731a57dbcdc7b936e65358760882c26d6b

Observation 5ad8539a-7359-4c09-b9d4-70aaa0f46da9 · outbound

This paper cites IEEE Transactions on parallel and distributed systems, 13(1):14–25, 2002.

Programming guide for solving constraint satisfaction problems with tensor networks IEEE Transactions on parallel and distributed systems, 13(1):14–25, 2002

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:35.598293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.351994Z digest=sha256:46c9c6ed91664975969cebb3a174f298c89a91ec8b58396cf43660717313f58b

Observation 9f027131-4c84-4dfd-9f26-502c019dfa74 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.580878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.356962Z digest=sha256:6888fc3b114657449491719dd8ddc299d8ec839c558f886d76846cf3b059d2a8

Observation f5a986ec-a965-4375-8494-d04efecce4b7 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.564130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.362101Z digest=sha256:9e7c820ce24404257a661c8d41c5746255ff5773272261c4c267f1d5a8323dd8

Observation dbe94bda-1d93-46cc-b040-2a9e349c2176 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.547564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.367000Z digest=sha256:cb2dd6f75b571e79d7f505bba12d4215a4c918da8c46eb1a6ae1d98f025f2153

Observation 67c02235-c56e-4915-9bb0-ae08be06f91d · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.530633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.371759Z digest=sha256:d1e0c2e7a4765ef65f0d060c9f5d3db1cc1241c10dbcb1653e640a7f21d086c7

Observation cd0684e0-3d15-4c7f-9ca8-1b705778f619 · outbound

This paper cites an unresolved cited work.

Programming guide for solving constraint satisfaction problems with tensor networks Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:35.514915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:01:35.376529Z digest=sha256:6dd88394851bc5abf3e884b621532ec4b92414dfdc44fa6a7b7a80e6970c1437

Pith citing papers

No inbound Pith citation observations are available.