Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T13:04:10.261590Z
Paper Citation Record · LEDGER
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
As of 23 July 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2604.13951.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T22:33:10.605542Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact20
- verified fuzzy32
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e7269189-ff03-4b73-8e46-555d62538ac7 · outbound
This paper cites Nature Computational Science1(6), 403–409 (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Nature Computational Science1(6), 403–409 (2021)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.315701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation d167dcdf-1c7f-47b9-83a6-c8a9f7c1c818 · outbound
This paper cites Surgical Endoscopy35, 5015–5023 (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Surgical Endoscopy35, 5015–5023 (2021)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.318461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation e572bad4-fce4-40c2-a713-5502ca11f9ff · outbound
This paper cites Journal of Open Source Software9(101), 6036 (2024).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Journal of Open Source Software9(101), 6036 (2024)
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.158542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 9744eda7-9af3-4866-8f27-b5c5c2a78317 · outbound
This paper cites arXiv preprint arXiv:2511.09314 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2511.09314 (2025)
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.153636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation b31ce3d6-35d7-476e-a062-f38b2e000c2d · outbound
This paper cites [Online].
Reference 5
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T13:05:24.166768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation a24d1b34-f087-4753-a166-b8ad65cc6ed6 · outbound
This paper cites Scientific Reports (2026).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Scientific Reports (2026)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.321253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation be71b7fe-5916-49b3-b7ab-cb8617d2b078 · outbound
This paper cites Contextuality and inductive bias in quantum machine learning.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Contextuality and inductive bias in quantum machine learning
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T13:05:24.639805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 50f77782-e45e-436b-90f6-63a0bc7dd262 · outbound
This paper cites British Journal of Surgery88(9), 1157–1168 (2001).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors British Journal of Surgery88(9), 1157–1168 (2001)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.328907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation b299e5be-b12e-4337-9f16-d744ba49d698 · outbound
This paper cites 2018 , month =.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors 2018 , month =
Reference 9
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T13:05:24.160583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation e67f1965-3307-4cef-82a3-4b82285e7336 · outbound
This paper cites Nature communications13(1), 4919 (2022).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Nature communications13(1), 4919 (2022)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.325540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 3477d973-61e9-4b81-bdb1-5ea54e386998 · outbound
This paper cites an unresolved cited work.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Unresolved cited work
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.333935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation be25d3d6-f7cd-46cc-b3c9-52d986cd1650 · outbound
This paper cites Nature Reviews Physics3(9), 625–644 (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Nature Reviews Physics3(9), 625–644 (2021)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.336970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation d14e1736-ea6c-4633-a2bf-56e7842ddd94 · outbound
This paper cites Physical Review A111(2), 022437 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Physical Review A111(2), 022437 (2025)
Reference 13
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.181975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 598990a9-fdfe-4e03-8e44-ecabfc85278f · outbound
This paper cites an unresolved cited work.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Unresolved cited work
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.184628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 5bfccb21-a88f-4e75-ae43-1e314419a14c · outbound
This paper cites Czech Cancer Care in Numbers (2020), institute of Biostatistics and Analyses.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Czech Cancer Care in Numbers (2020), institute of Biostatistics and Analyses
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.352992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation ef2974e6-d0aa-4423-a0c3-589dcc6a28f0 · outbound
This paper cites Physical Review X8(3), 031027 (2018).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Physical Review X8(3), 031027 (2018)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.276864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation c2523c46-340d-42f0-8616-bf4a761e8d0e · outbound
This paper cites A Transformer -Based Siamese Network for Change Detection.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors A Transformer -Based Siamese Network for Change Detection
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.196958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 19c23435-e885-4982-a3ad-13cd44e80f2c · outbound
This paper cites Evolutionary computation9(2), 159–195 (2001).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Evolutionary computation9(2), 159–195 (2001)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.349063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 427655bf-7343-4f23-8c00-980436754a2d · outbound
This paper cites Na- ture567(7747), 209–212 (2019).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Na- ture567(7747), 209–212 (2019)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.286483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation a9f8fd76-a78c-43f7-9ee5-3dcd1eb9abd4 · outbound
This paper cites Journal of Chemical Theory and Com- putation (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Journal of Chemical Theory and Com- putation (2025)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.289580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation ac957015-d0d4-46ca-9c33-8b6c3afb4abe · outbound
This paper cites arXiv preprint arXiv:2510.08727 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2510.08727 (2025)
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.194512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation c3699a60-ee87-4f28-a965-b1534fcf1147 · outbound
This paper cites arXiv preprint arXiv:2511.08205 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2511.08205 (2025)
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.201187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 58a7c124-9727-4d10-bef6-67a556f0b974 · outbound
This paper cites arXiv preprint arXiv:2505.22398 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2505.22398 (2025)
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.642256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation e93c5e2c-fe1c-4944-aa89-31da478aeea5 · outbound
This paper cites Preprints (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Preprints (2025)
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.190126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 2cf134da-6962-4861-b6ab-b4863454f535 · outbound
This paper cites In: QualITA 2025: The Fourth Conference on System and Service Quality.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: QualITA 2025: The Fourth Conference on System and Service Quality
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.339905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 812b3a8b-ab21-44d5-a60a-80a85efb508c · outbound
This paper cites Quantum computing with Qiskit.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Quantum computing with Qiskit
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T19:16:38.718151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 0db8ea8f-b39b-49c1-9dec-b96c85594950 · outbound
This paper cites Journal of the American College of Surgeons206(6), 1220–1227 (2008).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Journal of the American College of Surgeons206(6), 1220–1227 (2008)
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.192033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 2939dae3-8a73-4855-a7d3-904cbc3732f7 · outbound
This paper cites In: Advances in Neural Information Processing Systems.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Advances in Neural Information Processing Systems
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.282941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 7c972e42-fce8-44b7-a284-9956a2c004d2 · outbound
This paper cites Physical Review A106(2), 022402 (2022).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Physical Review A106(2), 022402 (2022)
Reference 29
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.198782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 5f385361-29fb-4e6d-913c-a792fb7d8cd7 · outbound
This paper cites an unresolved cited work.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Unresolved cited work
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.343489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 2345fdee-64dd-4bd7-9ad3-4a13b863714f · outbound
This paper cites Benchmarking gate-based quantum devices via certification of qubit von Neumann measurements.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Benchmarking gate-based quantum devices via certification of qubit von Neumann measurements
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.172369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation e64d3532-d6e6-4f53-af3a-b2d35d240708 · outbound
This paper cites Patterns2(6) (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Patterns2(6) (2021)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.292195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation c4a8a4b3-a350-40d7-8862-97b7b6dee647 · outbound
This paper cites On the limited memory BFGS method for large scale optimization.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors On the limited memory BFGS method for large scale optimization
Reference 33
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T13:05:24.164819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation f010fddf-3c52-4aff-bf3b-708e75851784 · outbound
This paper cites IEEE Access 7, 36854–36865 (2019).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors IEEE Access 7, 36854–36865 (2019)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.297805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation c7d9d2c5-5542-4c6f-8d6a-4447ff868b92 · outbound
This paper cites an unresolved cited work.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Unresolved cited work
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.303329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation ccc1128f-7d96-4f4d-985d-39d0bc326ecb · outbound
This paper cites an unresolved cited work.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Unresolved cited work
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.273715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation a60add8f-a6d0-40a2-b037-566e8449aa5d · outbound
This paper cites Epidemiology, Microbiology and Immunology74(3), 9–18 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Epidemiology, Microbiology and Immunology74(3), 9–18 (2025)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.263849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation b9360a8f-9af4-4f17-ab76-d6da8c0b8464 · outbound
This paper cites arXiv preprint arXiv:2603.24140 (2026), https://arxiv.org/abs/2603.24140.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2603.24140 (2026), https://arxiv.org/abs/2603.24140
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.634612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 93fd018c-d9a6-4f01-a447-ecbf975273be · outbound
This paper cites arXiv preprint arXiv:2511.08289 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2511.08289 (2025)
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.169456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation eef60917-9419-4bbd-9bf0-2a4c32ff480c · outbound
This paper cites Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.156651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 6761199c-5eb0-4c79-a3b8-2e6ce56b101c · outbound
This paper cites arXiv preprint arXiv:2506.01715 (2025).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors arXiv preprint arXiv:2506.01715 (2025)
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.637303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 171bb653-5d87-46a1-a9dc-45908ddb2317 · outbound
This paper cites Journal of Machine Learning Research12, 2825–2830 (2011).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Journal of Machine Learning Research12, 2825–2830 (2011)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.306631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 7d8e7a22-7bd9-4dd9-a696-88e50ef277ad · outbound
This paper cites In: Advances in Large Margin Classifiers.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Advances in Large Margin Classifiers
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.309514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 975c72d7-0115-4b38-b2eb-88ede792629e · outbound
This paper cites Mathe- matics Today-Bulletin of the Institute of Mathematics and its Applications43(5), 170–174 (2007).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Mathe- matics Today-Bulletin of the Institute of Mathematics and its Applications43(5), 170–174 (2007)
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.356445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 1abae9f5-7943-4ed4-8888-8b31630ce3e2 · outbound
This paper cites Quantum2, 79 (2018).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Quantum2, 79 (2018)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.256020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 4600429e-e99f-4ecf-839c-1915e95da346 · outbound
This paper cites In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.267332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 8fe404a5-f932-4f0d-abcf-1dc7b3851a91 · outbound
This paper cites Surgery147(3), 339–351 (2010).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Surgery147(3), 339–351 (2010)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.260101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation dcc5facb-bd37-4c50-afcf-ac366697532a · outbound
This paper cites Diagnostics11(12), 2382 (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Diagnostics11(12), 2382 (2021)
Reference 48
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.162553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation b21bd85d-3a10-43ba-b2d2-b036815e0597 · outbound
This paper cites In: Empirical Inference: Festschrift in Honor of Vladimir N.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Empirical Inference: Festschrift in Honor of Vladimir N
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.295114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 40bcc67d-607a-41f3-a688-0ec7583198d4 · outbound
This paper cites Physical Review Letters131(10), 100803 (2023).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Physical Review Letters131(10), 100803 (2023)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.300617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation cf4d3a91-94bb-48f6-99a0-ff78b98f2ca7 · outbound
This paper cites & Killoran, N.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors & Killoran, N
Reference 51
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.174340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 12048551-0a22-4797-909c-9f6c747c8d66 · outbound
This paper cites BMC Medical Informatics and Decision Making21(1), 1–14 (Dec 2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors BMC Medical Informatics and Decision Making21(1), 1–14 (Dec 2021)
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.279866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation d3f048a6-aade-4c52-8ed1-537ca35bbd61 · outbound
This paper cites IEEE Transactions on Automatic Control , author =.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors IEEE Transactions on Automatic Control , author =
Reference 53
- Resolution
- verified exact
- doi, observed 2026-05-10T13:05:24.180004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 3f4a0cdd-221d-4502-9232-9d58b0efec00 · outbound
This paper cites In: Computational Mathematical Programming, pp.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Computational Mathematical Programming, pp
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.270420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 2c84d512-2c8e-4ebc-b4ac-cc3667ff38a2 · outbound
This paper cites In: Proceedings of the 2025 29th International Confer- ence on Evaluation and Assessment in Software Engineering Companion.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Proceedings of the 2025 29th International Confer- ence on Evaluation and Assessment in Software Engineering Companion
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:24.177526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation c97c0a3c-35c4-49fd-a7c3-5a7dff69b303 · outbound
This paper cites Nature Commu- nications12(1), 6961 (2021).
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Nature Commu- nications12(1), 6961 (2021)
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.312840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Observation 2e958b27-dd5e-4467-8366-10a5a7b9ee63 · outbound
This paper cites In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors In: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:42:57.346291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.
Pith citing papers
Observation abd8df65-9270-4dc8-90de-7e62c8d0b9a5 · inbound
A Semantic Framework for Reproducible Variational Quantum Algorithm Execution Records cites this paper.
A Semantic Framework for Reproducible Variational Quantum Algorithm Execution Records Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T22:33:10.605542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.