Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:28:11.680809Z
Paper Citation Record · LEDGER
Quantum Incremental Learning with Mixed State Prototypes
As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.10464.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact0
- verified fuzzy40
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a533eb3d-c322-4ea3-bf06-805c4faf2635 · outbound
This paper cites Class-incremental learning: A survey,.
Quantum Incremental Learning with Mixed State Prototypes Class-incremental learning: A survey,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.469734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b09a153d-0b77-4123-9a15-56aa55de6995 · outbound
This paper cites Few-shot class-incremental learning for classification and object detection: A sur- vey,.
Quantum Incremental Learning with Mixed State Prototypes Few-shot class-incremental learning for classification and object detection: A sur- vey,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.459155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b71f0845-0c0e-4312-b798-261b302bdec2 · outbound
This paper cites Class-incremental learning: survey and performance evaluation on image classification,.
Quantum Incremental Learning with Mixed State Prototypes Class-incremental learning: survey and performance evaluation on image classification,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.447787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 75fb7e57-edd1-48a6-bdb3-90e1a06fa7bf · outbound
This paper cites R-dfcil: Relation-guided representation learning for data-free class incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes R-dfcil: Relation-guided representation learning for data-free class incremental learning,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.435815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5d07c92b-2f91-414d-af05-e091688d762f · outbound
This paper cites Catastrophic interference in connec- tionist networks: The sequential learning problem,.
Quantum Incremental Learning with Mixed State Prototypes Catastrophic interference in connec- tionist networks: The sequential learning problem,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.473406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1994ce3-4f46-479f-9f38-ffe68fd55fc5 · outbound
This paper cites icarl: Incremental classifier and representation learning,.
Quantum Incremental Learning with Mixed State Prototypes icarl: Incremental classifier and representation learning,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.478015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b516752a-6a63-4a92-8ea4-88822635b9d9 · outbound
This paper cites Foster: Feature boosting and compression for class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Foster: Feature boosting and compression for class-incremental learning,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.411143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 943baa06-2820-477f-9d5c-2c2707e96132 · outbound
This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Podnet: Pooled outputs distillation for small-tasks incremental learning,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.399225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4ed05491-0b49-4ebe-a5a3-827b29f05d95 · outbound
This paper cites Overcoming catastrophic forgetting in neural networks,.
Quantum Incremental Learning with Mixed State Prototypes Overcoming catastrophic forgetting in neural networks,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.492665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d00022d5-793a-471f-b15b-5871771c433b · outbound
This paper cites Learning without forgetting,.
Quantum Incremental Learning with Mixed State Prototypes Learning without forgetting,
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.496618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdaa5fdb-14fa-4fb2-ad4c-f82b298a111d · outbound
This paper cites Always be dreaming: A new approach for data-free class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Always be dreaming: A new approach for data-free class-incremental learning,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.373766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 00e28b1b-14c9-4bf1-ba5f-c0572ab36f88 · outbound
This paper cites Incomplete data classification via distribution alignment with evidence combination,.
Quantum Incremental Learning with Mixed State Prototypes Incomplete data classification via distribution alignment with evidence combination,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.362604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0f8b21e9-fc73-4049-aca7-0a94135295c1 · outbound
This paper cites Dual joint covariance alignment method for incomplete data classification,.
Quantum Incremental Learning with Mixed State Prototypes Dual joint covariance alignment method for incomplete data classification,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.350279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 85be0ceb-7099-45c4-a69c-6e408c095ec7 · outbound
This paper cites Fetril: Feature translation for exemplar-free class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Fetril: Feature translation for exemplar-free class-incremental learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.337889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 634b9cd6-e7e9-4c7a-856e-bc6727ffba0c · outbound
This paper cites Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,.
Quantum Incremental Learning with Mixed State Prototypes Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.327204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e6adce1-9c74-40ee-a769-ea9322cdd8a8 · outbound
This paper cites Prototype aug- mentation and self-supervision for incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Prototype aug- mentation and self-supervision for incremental learning,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.519176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8d29b8b-1262-4935-aa15-9af0f371e30d · outbound
This paper cites Three types of incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Three types of incremental learning,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.522898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3ea4289-dd53-45dc-b720-92b2f7a6d1ee · outbound
This paper cites Multidomain evolutionary optimization on adversarial link perturbation in imbalanced-size complex systems,.
Quantum Incremental Learning with Mixed State Prototypes Multidomain evolutionary optimization on adversarial link perturbation in imbalanced-size complex systems,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.302716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d415b8fd-324f-46c9-a52c-8f54eafd93a8 · outbound
This paper cites Quantum classifiers with a trainable kernel,.
Quantum Incremental Learning with Mixed State Prototypes Quantum classifiers with a trainable kernel,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.290980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f445ceb0-c5e5-4e54-a63b-4e47a966ae2c · outbound
This paper cites Ternary coding of maximum deng entropy,.
Quantum Incremental Learning with Mixed State Prototypes Ternary coding of maximum deng entropy,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.533749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc0aa8a1-d88e-4731-aea7-39c7c75d807f · outbound
This paper cites An efficient quan- tum proactive incremental learning algorithm,.
Quantum Incremental Learning with Mixed State Prototypes An efficient quan- tum proactive incremental learning algorithm,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.274501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e337fc17-57a4-4096-9031-10daf49dea3e · outbound
This paper cites Quantum option profit and loss encoding for risk assessment,.
Quantum Incremental Learning with Mixed State Prototypes Quantum option profit and loss encoding for risk assessment,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.263495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4926d186-9260-4f7f-8cc3-38faf45a6793 · outbound
This paper cites Variational quantum algorithms,.
Quantum Incremental Learning with Mixed State Prototypes Variational quantum algorithms,
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.544753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8983886b-2cc8-4af0-bda7-4aa7f1b025a0 · outbound
This paper cites An adaptive quantum circuit of dempster’s rule of combination for uncertain pattern classification,.
Quantum Incremental Learning with Mixed State Prototypes An adaptive quantum circuit of dempster’s rule of combination for uncertain pattern classification,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.246808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 11d07e64-0011-4bff-ad23-fc3a8a4e7e2f · outbound
This paper cites Model-free quantum gate design and calibration using deep reinforcement learning,.
Quantum Incremental Learning with Mixed State Prototypes Model-free quantum gate design and calibration using deep reinforcement learning,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.235058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7fae3168-f5fb-4a09-924b-4e86c2b936ac · outbound
This paper cites A novel quantum model of mass function for uncertain information fusion,.
Quantum Incremental Learning with Mixed State Prototypes A novel quantum model of mass function for uncertain information fusion,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.223939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9dce35ba-06a1-4f39-b0f3-e8bde832a379 · outbound
This paper cites Negation of the quantum mass function for multisource quantum information fusion with its application to pattern classification,.
Quantum Incremental Learning with Mixed State Prototypes Negation of the quantum mass function for multisource quantum information fusion with its application to pattern classification,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.211952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8ac77b7d-15d9-4719-a247-c832fc23f549 · outbound
This paper cites A dependence assessment method based on quantum model of mass function in human reliability analysis,.
Quantum Incremental Learning with Mixed State Prototypes A dependence assessment method based on quantum model of mass function in human reliability analysis,
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.563882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34686da5-4115-467a-b2f3-45d4c818ecb9 · outbound
This paper cites Feature entanglement- based quantum multimodal fusion neural network,.
Quantum Incremental Learning with Mixed State Prototypes Feature entanglement- based quantum multimodal fusion neural network,
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.567842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62bf197d-eb89-43e3-ae33-0f67c85f9eb1 · outbound
This paper cites Multimodal remote sensing of thunderstorm charge mo- tion: A radar echo and electric field fusion approach,.
Quantum Incremental Learning with Mixed State Prototypes Multimodal remote sensing of thunderstorm charge mo- tion: A radar echo and electric field fusion approach,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.194383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 80137097-cd3a-4e3e-990a-3ecbd3d3ad5c · outbound
This paper cites Qsyncfold: quantum neural network for multidimensional sync-discovery in protein folding,.
Quantum Incremental Learning with Mixed State Prototypes Qsyncfold: quantum neural network for multidimensional sync-discovery in protein folding,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.183519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1061924-7a4f-4cc2-b835-309afc6eed69 · outbound
This paper cites Qsan: A near- term achievable quantum self-attention network,.
Quantum Incremental Learning with Mixed State Prototypes Qsan: A near- term achievable quantum self-attention network,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.172870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1dd42469-4e37-4ace-ae01-bf75d5a01f22 · outbound
This paper cites Quantum continual learning over- coming catastrophic forgetting,.
Quantum Incremental Learning with Mixed State Prototypes Quantum continual learning over- coming catastrophic forgetting,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.161272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bd98dd03-a77d-47d9-8820-2bc28015b0fc · outbound
This paper cites Problem-dependent power of quantum neural networks on multiclass classification,.
Quantum Incremental Learning with Mixed State Prototypes Problem-dependent power of quantum neural networks on multiclass classification,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.150368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1bb0c571-e216-4f2d-98d2-73fa6c415adb · outbound
This paper cites Unified framework for quantum classification,.
Quantum Incremental Learning with Mixed State Prototypes Unified framework for quantum classification,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.139301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a8f443e-2830-46c3-a899-29be96f3663a · outbound
This paper cites Experimental demonstration of quantum continual learning with superconducting qubits,.
Quantum Incremental Learning with Mixed State Prototypes Experimental demonstration of quantum continual learning with superconducting qubits,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.127287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bdbd41d4-8bfa-4348-9722-112cc3dee1d2 · outbound
This paper cites Optimal (controlled) quantum state preparation and improved unitary synthesis by quantum circuits with any number of ancillary qubits,.
Quantum Incremental Learning with Mixed State Prototypes Optimal (controlled) quantum state preparation and improved unitary synthesis by quantum circuits with any number of ancillary qubits,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.114854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 49337767-48c8-4be1-b108-a3fdf159a8e2 · outbound
This paper cites Quantum embeddings for machine learning.
Quantum Incremental Learning with Mixed State Prototypes Quantum embeddings for machine learning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.603033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 819fd2ff-374e-48a3-8b58-f00dfe9ce67b · outbound
This paper cites Individual linguis- tic granular computing: A granulation–degranulation-based approach,.
Quantum Incremental Learning with Mixed State Prototypes Individual linguis- tic granular computing: A granulation–degranulation-based approach,
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.607468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4afc20f9-32db-4e43-bb31-df5c84f41932 · outbound
This paper cites Learning- based quantum robust control: algorithm, applications, and experiments,.
Quantum Incremental Learning with Mixed State Prototypes Learning- based quantum robust control: algorithm, applications, and experiments,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.094267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c689773e-be33-42a8-b768-b48f840529f1 · outbound
This paper cites Quantum mixed state compiling,.
Quantum Incremental Learning with Mixed State Prototypes Quantum mixed state compiling,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.082874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 32c9d8cb-c322-4450-a99d-483d1ce24aca · outbound
This paper cites Experimental measurement of the hilbert-schmidt distance between two-qubit states as a means for reducing the complexity of machine learning,.
Quantum Incremental Learning with Mixed State Prototypes Experimental measurement of the hilbert-schmidt distance between two-qubit states as a means for reducing the complexity of machine learning,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.071129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aed57da6-8988-4a5d-b7c7-9d743a086f6e · outbound
This paper cites Prototype-sample relation distillation: towards replay-free continual learning,.
Quantum Incremental Learning with Mixed State Prototypes Prototype-sample relation distillation: towards replay-free continual learning,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.059958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 68c1893e-5de9-4532-8163-e0eba5507673 · outbound
This paper cites Variational quantum fidelity estimation,.
Quantum Incremental Learning with Mixed State Prototypes Variational quantum fidelity estimation,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.048636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e1817ac1-6adc-418e-a663-2244e9dd4e53 · outbound
This paper cites Quantum convolutional neural networks,.
Quantum Incremental Learning with Mixed State Prototypes Quantum convolutional neural networks,
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.630403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a725fc06-47b8-48a3-a25f-665123efdead · outbound
This paper cites Quantum circuit architecture search for variational quantum algorithms,.
Quantum Incremental Learning with Mixed State Prototypes Quantum circuit architecture search for variational quantum algorithms,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.030252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7ed3ee12-34b4-4d7d-8df8-f9065a5c3a6a · outbound
This paper cites Branching quantum convolutional neural networks,.
Quantum Incremental Learning with Mixed State Prototypes Branching quantum convolutional neural networks,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:12.018677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82cedda2-3782-418a-8039-49a5097f17a2 · outbound
This paper cites Circuit-centric quantum classifiers,.
Quantum Incremental Learning with Mixed State Prototypes Circuit-centric quantum classifiers,
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.640927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 368f895e-80ef-496a-9433-1a33f38191ed · outbound
This paper cites Hierarchical quantum classifiers,.
Quantum Incremental Learning with Mixed State Prototypes Hierarchical quantum classifiers,
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.645134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 308d7c14-d8cc-4f67-96b8-332a1b35bdee · outbound
This paper cites Quclassi: A hybrid deep neural network architecture based on quantum state fidelity,.
Quantum Incremental Learning with Mixed State Prototypes Quclassi: A hybrid deep neural network architecture based on quantum state fidelity,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.879572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9b4bffe6-4637-438a-a8d8-9fb090f0ebbd · outbound
This paper cites Large scale incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Large scale incremental learning,
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.652159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e20a3fc9-0f2e-450c-b290-941ed2ae9a25 · outbound
This paper cites Self-sustaining representation expansion for non-exemplar class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Self-sustaining representation expansion for non-exemplar class-incremental learning,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.859985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f625640-298b-45b9-967b-721f3ceef4a8 · outbound
This paper cites Dark experience for general continual learning: a strong, simple baseline,.
Quantum Incremental Learning with Mixed State Prototypes Dark experience for general continual learning: a strong, simple baseline,
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.659342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5adcdd71-ca35-42b7-b1cc-7ff546c4ca58 · outbound
This paper cites Learning a unified classifier incrementally via rebalancing,.
Quantum Incremental Learning with Mixed State Prototypes Learning a unified classifier incrementally via rebalancing,
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.662884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03c2d513-f32c-4110-9570-2ada278ec5a5 · outbound
This paper cites Metric learning for large scale image classification: Generalizing to new classes at near- zero cost,.
Quantum Incremental Learning with Mixed State Prototypes Metric learning for large scale image classification: Generalizing to new classes at near- zero cost,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.833443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a86ec4b5-a633-42b6-a392-04cbe3ed1bc8 · outbound
This paper cites Few-shot class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Few-shot class-incremental learning,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.821388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3319bddf-ec56-4ac9-abaa-94d5d60682bc · outbound
This paper cites Semantic drift compensation for class-incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes Semantic drift compensation for class-incremental learning,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.809706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3cf31546-16bb-41a3-9290-d807fa92ce2b · outbound
This paper cites Deesil: Deep-shallow incremental learn- ing.
Quantum Incremental Learning with Mixed State Prototypes Deesil: Deep-shallow incremental learn- ing
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T14:28:11.797243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7129d09b-f275-4961-8fb4-443f214e516a · outbound
This paper cites More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning,.
Quantum Incremental Learning with Mixed State Prototypes More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning,
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:28:11.680809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.