Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:37:16.921049Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2607.23925.
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 2026-07-31T23:37:16.921049Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 566bce98-6326-455c-aac6-3b119a22f35a · outbound
Greedy dynamical meta-learning Learning to learn by gradient descent by gradient descent , year =
Reference 1
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Observation 2404a7d1-581e-439a-9b11-f405e0c494ba · outbound
Greedy dynamical meta-learning Selection and Reinforcement Learning for Combinatorial Optimization
Reference 2
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Greedy dynamical meta-learning Language Models are Few-Shot Learners , url =
Reference 3
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Observation afb8aa50-d66b-4028-beeb-f84f942f3fde · outbound
Greedy dynamical meta-learning Proceedings of the 31st International Conference on Machine Learning , pages =
Reference 4
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Greedy dynamical meta-learning Unresolved cited work
Reference 5
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Observation bf71dc6e-3d18-4864-aa66-cb1a66ad26db · outbound
Greedy dynamical meta-learning Proceedings of The 33rd International Conference on Machine Learning , pages =
Reference 6
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Observation 304666d6-511c-4c02-bfbb-827a9e2a4249 · outbound
Greedy dynamical meta-learning 2016 , eprint=
Reference 7
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Observation 4a8f8ec9-5496-451e-bf16-3ae1f6587285 · outbound
Greedy dynamical meta-learning Unresolved cited work
Reference 8
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Observation 864ea7ac-a903-44ed-9194-b235c081445a · outbound
Greedy dynamical meta-learning 1992 , institution =
Reference 9
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Reference 10
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Observation b4a3afa7-4cbf-47ea-a6dc-8b7ea58ccef8 · outbound
Greedy dynamical meta-learning and Simard, P
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Observation 81b665a8-5044-48bb-bbaa-9b7fc1625d3c · outbound
Greedy dynamical meta-learning Neural Processing Letters , volume =
Reference 12
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Observation dd6df267-fda8-4e63-acc5-0b1420614f12 · outbound
Greedy dynamical meta-learning Natural Computing , volume =
Reference 13
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Observation 53c2e7c5-7f18-4350-a40a-34b8d488a710 · outbound
Greedy dynamical meta-learning 1990 , institution =
Reference 14
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Observation 99cc381e-a528-4304-aa2c-2379c3827937 · outbound
Greedy dynamical meta-learning Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
Reference 15
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Observation 9868e8ae-452e-4e4c-b825-10438be77e59 · outbound
Greedy dynamical meta-learning , journal=
Reference 16
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Observation 5739f7fe-50db-4efe-9e54-5cb02b00cf36 · outbound
Greedy dynamical meta-learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 17
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Observation b08b21f7-2484-45a9-af34-69fcbcd58979 · outbound
Greedy dynamical meta-learning Journal of Machine Learning Research , year =
Reference 18
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Greedy dynamical meta-learning Unresolved cited work
Reference 19
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Observation f71e50f0-b56b-4127-96f5-204c7ed66591 · outbound
Greedy dynamical meta-learning Unresolved cited work
Reference 20
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Observation 2eaaa590-e98f-4ba9-b0e1-8d71b054f9f6 · outbound
Greedy dynamical meta-learning Proceedings of the 34th International Conference on Machine Learning - Volume 70 , pages =
Reference 21
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Observation b6161b60-a23c-43e3-97a3-4bb4365d00b3 · outbound
Greedy dynamical meta-learning Mastering Atari with Discrete World Models
Reference 22
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Observation d5e2d7ca-a4b1-4c47-8366-e319a60e3036 · outbound
Greedy dynamical meta-learning Deep Speech: Scaling up end-to-end speech recognition
Reference 23
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Observation 0d0fae09-ed9d-407a-abde-73d14d10e46f · outbound
Greedy dynamical meta-learning Proceedings of the Sixth International Conference on Genetic Algorithms , pages =
Reference 24
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Observation 67dddbb0-f436-4d7f-b07e-d36855dfe163 · outbound
Greedy dynamical meta-learning and Ostermeier, A
Reference 25
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Observation c8a2ed80-26b5-4c30-8dcc-dc73d1a4b57f · outbound
Greedy dynamical meta-learning Completely Derandomized Self-Adaptation in Evolution Strategies , year=
Reference 26
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Observation d2069293-4a9a-4e73-abfa-44a06a19ea93 · outbound
Greedy dynamical meta-learning 1974 , issn =
Reference 27
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Observation 637cf731-eb0e-45f3-b2fa-10a10c79f4d4 · outbound
Greedy dynamical meta-learning 2016 , volume =
Reference 28
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Observation 9742c393-b4d9-4821-b128-67c3ff263ee7 · outbound
Greedy dynamical meta-learning Deep Learning Scaling is Predictable, Empirically
Reference 29
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Observation c1466e3b-53c1-42de-abf6-37cc0fb54e1f · outbound
Greedy dynamical meta-learning Long Short-Term Memory , year =
Reference 30
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Observation 0e6e2136-9fe3-4252-8c42-0cb5340f3acc · outbound
Greedy dynamical meta-learning 2022 , volume=
Reference 31
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Observation 4f8556e6-68ef-4709-99de-8527ae3c9b4d · outbound
Greedy dynamical meta-learning Universal Language Model Fine-tuning for Text Classification
Reference 32
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Observation 80e6909a-c334-483f-bbdf-40e63a1759ca · outbound
Greedy dynamical meta-learning Unresolved cited work
Reference 33
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Observation bddbdaa1-5940-4ee9-8b63-cf12cc7714d5 · outbound
Greedy dynamical meta-learning and Plaat, Aske , title =
Reference 34
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Observation 46731a29-aebf-44bd-b15e-bbeabce5facd · outbound
Greedy dynamical meta-learning 1997 , issn =
Reference 35
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Observation 40bbc411-0e6a-4abe-b7d5-8062fb5b7de7 · outbound
Greedy dynamical meta-learning Scaling Laws for Neural Language Models
Reference 36
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Observation b0fcb554-1d0f-47d5-9567-039f4b6fc497 · outbound
Greedy dynamical meta-learning International Conference on Learning Representations , year=
Reference 37
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Observation 004e0515-e457-41a6-a6f5-405036b42509 · outbound
Greedy dynamical meta-learning 1978 , publisher=
Reference 38
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Observation 159fedee-b267-4047-a1cb-60894f14327c · outbound
Greedy dynamical meta-learning A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Reference 39
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Observation 14003d4d-a014-4b56-b109-c2e90ff89b69 · outbound
Reference 40
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Observation 97e1c20c-1a10-492d-bc04-a417a99f2a67 · outbound
Greedy dynamical meta-learning Learning to Optimize Neural Nets
Reference 41
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Observation 0c0f5961-3d56-4be4-9905-69b907da9776 · outbound
Greedy dynamical meta-learning Proceedings of the 36th International Conference on Machine Learning , pages =
Reference 42
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Observation b19f6565-10d4-4f4b-a498-232554239942 · outbound
Greedy dynamical meta-learning Regularizing and Optimizing LSTM Language Models
Reference 43
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Observation d3750d58-bbe2-4449-9c8e-1fe85792e41e · outbound
Greedy dynamical meta-learning Proceedings of the 30th International Conference on International Conference on Machine Learning - Volume 28 , pages =
Reference 44
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Observation ed1df084-d201-4f51-92c3-3c8b54129637 · outbound
Greedy dynamical meta-learning Unresolved cited work
Reference 45
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Observation 3434f89c-5480-4c5a-9c20-2f122e006662 · outbound
Greedy dynamical meta-learning 1973 , publisher =
Reference 46
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Observation 3f101f6f-40e9-4497-8bea-006e02b4b855 · outbound
Greedy dynamical meta-learning A Simple Modification in CMA-ES Achieving Linear Time and Space Complexity
Reference 47
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Observation 9d438e30-047d-4c10-8472-2cebe6861a40 · outbound
Greedy dynamical meta-learning and Jonsson, M.T
Reference 48
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Greedy dynamical meta-learning Thirty-seventh Conference on Neural Information Processing Systems , year=
Reference 49
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Observation 52222929-2ea7-4c15-9108-d2f980a36222 · outbound
Greedy dynamical meta-learning Evolutionary Principles in Self-Referential Learning
Reference 50
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Greedy dynamical meta-learning , booktitle=
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Greedy dynamical meta-learning Unresolved cited work
Reference 52
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Observation 4433881c-b74d-4fc4-8c58-1ba8464c96cc · outbound
Greedy dynamical meta-learning Mastering Atari, Go, chess and shogi by planning with a learned model , year=
Reference 53
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Greedy dynamical meta-learning Unresolved cited work
Reference 54
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Greedy dynamical meta-learning 2010 , note =
Reference 55
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Greedy dynamical meta-learning Mastering the game of Go without human knowledge , year=
Reference 56
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Greedy dynamical meta-learning , journal=
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Greedy dynamical meta-learning , title =
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Observation 4300e949-6f43-4b74-b765-b64ffef6c41f · outbound
Greedy dynamical meta-learning Learning to Learn: Introduction and Overview
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Observation 131f7bf6-2191-4918-9bae-3522dde86098 · outbound
Greedy dynamical meta-learning Unresolved cited work
Reference 61
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Reference 62
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Greedy dynamical meta-learning Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Reference 63
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Observation d838a9b1-b22a-4ce4-9529-6a107c3bd2cf · outbound
Greedy dynamical meta-learning Advances and Challenges in Meta-Learning: A Technical Review , year =
Reference 64
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Greedy dynamical meta-learning 2016 , eprint=
Reference 65
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Greedy dynamical meta-learning Transactions on Machine Learning Research , issn=
Reference 66
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Greedy dynamical meta-learning Journal of Machine Learning Research , year =
Reference 67
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Greedy dynamical meta-learning Williams , title =
Reference 68
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Observation 08f668f0-3cbc-4add-8479-58563843c7ff · outbound
Greedy dynamical meta-learning How transferable are features in deep neural networks?
Reference 69
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Greedy dynamical meta-learning Recurrent Neural Network Regularization
Reference 70
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Greedy dynamical meta-learning 2021 , eprint=
Reference 71
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Greedy dynamical meta-learning , journal=
Reference 72
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