Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:54.454510Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.11038.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:54.454510Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Birjali, M
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
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Observation a78f9241-f22c-4c78-b016-8519a9f2d428 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Babcock, S
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Q.-W
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 9
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Observation f1aa0e25-1087-489c-a27d-c4904602de46 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 10
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Observation 2c70ca79-d4b0-4afa-9025-a4666fb15532 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 11
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Observation 7fde32c6-2c35-40e9-8d0b-04bd38f15deb · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning 2001– 2010
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Observation 81a9facb-7d39-4a0f-8cec-a0a42c6a8a95 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 13
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Observation 563bbb44-2d6e-431b-9015-f604d4804989 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 14
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Observation 8f7b290f-66f4-4e3d-b099-09a359d2960a · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Douillard, M
Reference 15
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Observation fde19f1f-9e79-4da5-bef1-0c6037682dee · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 16
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Observation 14d89ca7-966b-4d35-bea2-b8a92d440cea · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 17
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Observation 1e09628c-62a9-4e37-9173-8090cc921fc5 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Q.-W
Reference 18
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Observation 876f8711-7b80-4a96-a0b1-44b91345f400 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Kirkpatrick, R
Reference 19
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Observation b8979206-399c-4d09-a6e6-4d51435ba96e · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Reference 20
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Observation 193feeba-b491-4947-b869-c36447e56c4a · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, Z.-W
Reference 21
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Observation 85da7657-1dda-4ecc-a910-e7b419a7d22f · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 22
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Observation d1d99241-7358-4d4c-98f0-dc27b3c5b411 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 23
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Observation 992d33f8-443f-4b3f-b425-bc17b2bd9676 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 24
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Observation 51cf7db4-7588-4490-aaf1-2fcc46af0262 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 25
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Observation 9240563a-47f4-439f-8be1-6497ecb3724c · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 26
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Observation 87d7ca7c-7b10-4175-8f27-2c52499ae6ff · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 27
Source-reported events for the cited work
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Observation 96a3c4c7-b5f1-4444-aa82-d25535a50b31 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Aljundi, P
Reference 28
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Observation 6bf81d4b-9dca-4cc4-94c9-0504726ae1c7 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 29
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Observation c319ad08-54c1-44c2-be94-41e91b77eb68 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 30
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Observation 52d8c11e-5f96-442d-9f7a-aec039307cc0 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, H.-L
Reference 31
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Snell, K
Reference 32
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Kendall, Y
Reference 33
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Krizhevsky, G
Reference 34
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Observation 7eeccf04-484f-4cc5-bb61-3eed326f4a24 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 35
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Hendrycks, K
Reference 36
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Observation cd8a122c-5648-4cdd-83bd-df0b63b10ac5 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Hendrycks, S
Reference 37
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Observation 9f346b3d-daa4-41bc-8a79-e80f66c0e93e · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
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Observation 73ea8a5f-b180-4779-abc1-ccac9988efd4 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 39
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Memory Replay with Data Compression for Continual Learning
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Observation ad354501-0249-44f2-bfc1-28af40d1ebbd · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 41
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
Reference 42
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Observation e5bfef0e-7374-43a2-8ce0-87e5c7af3fed · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 43
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 44
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 45
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 46
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Observation 96b183f1-1d78-4a8c-8d4f-14c9f7c2ec71 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 47
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Observation 6637264e-32af-4c60-8a02-26a090912d13 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 48
Source-reported events for the cited work
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 49
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning LoRA: Low-Rank Adaptation of Large Language Models
Reference 50
Source-reported events for the cited work
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Observation 18ee90d0-0902-4eb0-854f-c0d9fa767856 · outbound
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 51
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 52
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhou, H.-L
Reference 53
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Zhang, L
Reference 54
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Unresolved cited work
Reference 55
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Riquelme, J
Reference 56
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Reference 58
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Rebuffi, H
Reference 59
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Paszke, S
Reference 60
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MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning Van der Maaten, G
Reference 61
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No inbound Pith citation observations are available.