Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T10:46:16.373197Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 66 inbound Pith citation observations for arXiv:1911.05507.
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 2026-05-18T10:46:16.373197Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:31:43.616971Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
100 of 125 outbound references displayed
External citation measurements
49
pith, observed 2026-08-05T02:28:24.338817Z
Observation 14f1b0de-3282-41ad-b631-bb2f06cf9968 · outbound
Compressive Transformers for Long-Range Sequence Modelling Al-Rfou, D
Reference 1
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Compressive Transformers for Long-Range Sequence Modelling Unresolved cited work
Reference 4
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Compressive Transformers for Long-Range Sequence Modelling DeepMind Lab
Reference 6
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Reference 7
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Observation dc4127aa-e3ec-43a9-8782-d9ddbeab7655 · outbound
Compressive Transformers for Long-Range Sequence Modelling Espeholt, H
Reference 15
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Compressive Transformers for Long-Range Sequence Modelling Graves, G
Reference 19
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Compressive Transformers for Long-Range Sequence Modelling Hochreiter and J
Reference 22
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Compressive Transformers for Long-Range Sequence Modelling Unresolved cited work
Reference 24
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Compressive Transformers for Long-Range Sequence Modelling Ko c isk \`y , J
Reference 27
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Compressive Transformers for Long-Range Sequence Modelling Dynamic Evaluation of Transformer Language Models
Reference 29
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Compressive Transformers for Long-Range Sequence Modelling Mikolov, M
Reference 32
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Compressive Transformers for Long-Range Sequence Modelling Unresolved cited work
Reference 33
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Compressive Transformers for Long-Range Sequence Modelling Paperno, G
Reference 35
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Reference 36
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Reference 38
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Compressive Transformers for Long-Range Sequence Modelling Unresolved cited work
Reference 39
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Compressive Transformers for Long-Range Sequence Modelling Santoro, R
Reference 40
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Compressive Transformers for Long-Range Sequence Modelling Shoeybi, M
Reference 41
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Compressive Transformers for Long-Range Sequence Modelling Smith, P
Reference 42
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Compressive Transformers for Long-Range Sequence Modelling Vaswani, N
Reference 44
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Reference 47
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Reference 48
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Reference 49
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Compressive Transformers for Long-Range Sequence Modelling nature , volume=
Reference 50
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Compressive Transformers for Long-Range Sequence Modelling Neural Turing Machines
Reference 51
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Reference 52
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Compressive Transformers for Long-Range Sequence Modelling Advances in neural information processing systems , pages=
Reference 53
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Compressive Transformers for Long-Range Sequence Modelling Neural Machine Translation by Jointly Learning to Align and Translate
Reference 54
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Compressive Transformers for Long-Range Sequence Modelling Advances in neural information processing systems , pages=
Reference 55
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Compressive Transformers for Long-Range Sequence Modelling Acoustics, speech and signal processing (icassp), 2013 ieee international conference on , pages=
Reference 56
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Compressive Transformers for Long-Range Sequence Modelling International Conference on Machine Learning , pages=
Reference 57
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Compressive Transformers for Long-Range Sequence Modelling Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Reference 58
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Compressive Transformers for Long-Range Sequence Modelling Neural computation , volume=
Reference 59
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Compressive Transformers for Long-Range Sequence Modelling International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , volume=
Reference 60
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Compressive Transformers for Long-Range Sequence Modelling Memory-based control with recurrent neural networks
Reference 61
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Compressive Transformers for Long-Range Sequence Modelling One-shot Learning with Memory-Augmented Neural Networks
Reference 62
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Compressive Transformers for Long-Range Sequence Modelling Advances in Neural Information Processing Systems , pages=
Reference 63
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Compressive Transformers for Long-Range Sequence Modelling Advances in Neural Information Processing Systems , pages=
Reference 64
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Compressive Transformers for Long-Range Sequence Modelling Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Reference 65
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Compressive Transformers for Long-Range Sequence Modelling Pointer Sentinel Mixture Models
Reference 66
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Reference 67
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Compressive Transformers for Long-Range Sequence Modelling Advances in Neural Information Processing Systems , pages=
Reference 68
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Reference 69
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Compressive Transformers for Long-Range Sequence Modelling Acoustics, Speech, and Signal Processing
Reference 70
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Compressive Transformers for Long-Range Sequence Modelling Layer Normalization
Reference 71
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Compressive Transformers for Long-Range Sequence Modelling Language Modeling with Gated Convolutional Networks
Reference 72
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Reference 73
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Compressive Transformers for Long-Range Sequence Modelling Advances in Neural Information Processing Systems , pages=
Reference 74
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Compressive Transformers for Long-Range Sequence Modelling Memory Aware Synapses: Learning what (not) to forget
Reference 75
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Compressive Transformers for Long-Range Sequence Modelling Acoustics, Speech, and Signal Processing
Reference 76
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Compressive Transformers for Long-Range Sequence Modelling Thirteenth Annual Conference of the International Speech Communication Association , year=
Reference 77
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Reference 78
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Compressive Transformers for Long-Range Sequence Modelling A Convolutional Neural Network for Modelling Sentences
Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 86
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Reference 87
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Reference 88
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Compressive Transformers for Long-Range Sequence Modelling Attentive Recurrent Comparators
Reference 89
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Reference 90
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Reference 91
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Reference 92
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Compressive Transformers for Long-Range Sequence Modelling Advances in neural information processing systems , pages=
Reference 93
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Reference 94
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Reference 95
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Reference 96
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Reference 97
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Compressive Transformers for Long-Range Sequence Modelling On the State of the Art of Evaluation in Neural Language Models
Reference 98
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Reference 99
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Compressive Transformers for Long-Range Sequence Modelling Strategies for Training Large Vocabulary Neural Language Models
Reference 100
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Compressive Transformers for Long-Range Sequence Modelling Deep Meta-Learning: Learning to Learn in the Concept Space
Reference 101
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Compressive Transformers for Long-Range Sequence Modelling Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Reference 102
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Reference 103
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Reference 104
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Compressive Transformers for Long-Range Sequence Modelling Neural computation , volume=
Reference 105
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Reference 125
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Reference 52
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Reference 102
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Reference 45
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Reference 45
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Reference 27
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Reference 32
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Reference 32
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Reference 15
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Reference 44
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Reference 30
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Reference 38
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Reference 21
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Reference 21
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Reference 21
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Reference 19
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Reference 20
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Reference 26
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Reference 82
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Reference 51
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Reference 73
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Reference 8
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Reference 3
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Reference 28
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Reference 28
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Reference 35
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Reference 97
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55d8fb98-b1bc-4dbf-a4dc-258e23a394e2 · inbound
Structured Thoughts For Improved Reasoning And Context Pruning Compressive Transformers for Long-Range Sequence Modelling
Reference 13
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Observation 10ea30ad-5d09-43c0-bb88-fa02bd9dc8f9 · inbound
UTS at ELOQUENT 2026 Voight-Kampff: structural shifts in AI writing bypass state-of-the-art detectors Compressive Transformers for Long-Range Sequence Modelling
Reference 2020
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Observation 40a5614f-3ab9-493e-9345-6b25e5a45a65 · inbound
High-accuracy Low-Bit KV-Cache Quantization via Local Distribution Restoration Compressive Transformers for Long-Range Sequence Modelling
Reference 2019
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Observation c35e796e-91dc-4215-867d-4cc8591c3827 · inbound
SALT: Salience-Aware Lexical Trie for Long-Context Compression Compressive Transformers for Long-Range Sequence Modelling
Reference 33
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Observation 976465b4-3d89-4d2a-bd95-09dea427e9f3 · inbound
Windowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token Context Compressive Transformers for Long-Range Sequence Modelling
Reference 45
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Observation 6cad2ed6-b857-4284-aee9-8f1b4fb670f1 · inbound
MemSFT: Mitigating Alignment Tax with an External Parametric Memory Compressive Transformers for Long-Range Sequence Modelling
Reference 2019
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Observation 7fcdedf1-afc9-4a53-8d29-2ed1fc60cea6 · inbound
Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory Compressive Transformers for Long-Range Sequence Modelling
Reference 2019
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Observation 12359230-a0c2-4073-873b-dd0e93983145 · inbound
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI Compressive Transformers for Long-Range Sequence Modelling
Reference 33
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