Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:08.796515Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2608.08847.
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 2026-08-14T04:32:08.796515Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c18acb7d-cdee-4cae-891f-e7f30f64bfb9 · outbound
Explicit Boundary Markers for Subword Vocabularies 2025 , booktitle=
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Explicit Boundary Markers for Subword Vocabularies Improving Tokenisation by Alternative Treatment of Spaces
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Explicit Boundary Markers for Subword Vocabularies MinGram: A Minimalist Unigram Tokenizer with High Compression and Competitive Morphological Alignment
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Explicit Boundary Markers for Subword Vocabularies Unresolved cited work
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Reference 12
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Observation 0401d9a3-23e0-4a9e-81ae-b0fbfa592440 · outbound
Explicit Boundary Markers for Subword Vocabularies and Reddy, Varshini and Zhang, Haoran and Alameddine, Alec and Uzan, Omri and Pinter, Yuval and Tanner, Chris
Reference 13
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Observation 21c68cfd-e18d-4124-8c88-8aadd65df67a · outbound
Explicit Boundary Markers for Subword Vocabularies and Tanner, Chris and Pinter, Yuval
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Observation a578bef0-9049-423c-879b-261ce4d84ab1 · outbound
Explicit Boundary Markers for Subword Vocabularies Tokenization and the Noiseless Channel
Reference 15
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Observation 503dc684-d99a-40b5-b1bc-f5d98f35277c · outbound
Explicit Boundary Markers for Subword Vocabularies Two Counterexamples to Tokenization and the Noiseless Channel
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Observation 42f779e3-75b3-4435-a198-4b85e4b60a15 · outbound
Explicit Boundary Markers for Subword Vocabularies Unresolved cited work
Reference 17
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Observation ee460b06-900d-456b-838c-95ee4bc929d4 · outbound
Explicit Boundary Markers for Subword Vocabularies Byte Pair Encoding is Suboptimal for Language Model Pretraining
Reference 18
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Observation 935f6ca1-ac75-433b-8454-e1685b4d0de1 · outbound
Explicit Boundary Markers for Subword Vocabularies Incorporating Context into Subword Vocabularies
Reference 19
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Observation 1d556313-8b9e-4f1b-a396-9c90749a5b8d · outbound
Explicit Boundary Markers for Subword Vocabularies Rethinking Tokenization for Rich Morphology: The Dominance of U nigram over BPE and Morphological Alignment
Reference 20
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Observation d281eeb7-d8ef-43ab-9e61-28bda6313ae5 · outbound
Explicit Boundary Markers for Subword Vocabularies MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies
Reference 21
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Observation c8ad4a85-151b-4e07-bcc4-e9b5e2f0c03f · outbound
Explicit Boundary Markers for Subword Vocabularies Which Pieces Does U nigram Tokenization Really Need?
Reference 22
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Reference 23
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Observation 3f3c5379-d3e3-43f9-96de-9085c8a8ec8c · outbound
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Reference 24
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Observation 440d6026-698e-43b0-85f0-b7f591eb124f · outbound
Explicit Boundary Markers for Subword Vocabularies Evaluating Morphological Plausibility of Subword Tokenization via Statistical Alignment with Morpho-Syntactic Features
Reference 25
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Observation 35571c34-544c-47a2-94ff-48bf0d9fcc16 · outbound
Explicit Boundary Markers for Subword Vocabularies 2025 , eprint=
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Explicit Boundary Markers for Subword Vocabularies Unresolved cited work
Reference 27
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Explicit Boundary Markers for Subword Vocabularies SentencePiece : A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Reference 28
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Observation 3c8f8c9e-c8b2-43ac-adbf-037a289fb8e5 · outbound
Explicit Boundary Markers for Subword Vocabularies Combinatorial Pattern Matching , pages=
Reference 29
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Observation cc839931-7172-4887-bbed-02d59c92bdb6 · outbound
Explicit Boundary Markers for Subword Vocabularies ICML 2025 Tokenization Workshop , url=
Reference 30
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Observation e8c01c50-d811-4217-8f87-aeef26c8643c · outbound
Explicit Boundary Markers for Subword Vocabularies BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training
Reference 31
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Observation 210332ec-3e1a-4438-989d-fb19c090adc4 · outbound
Explicit Boundary Markers for Subword Vocabularies and Bergen, Benjamin
Reference 32
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Observation 36dcc0f7-5aaf-4d9d-ac4f-1a9101310ff2 · outbound
Explicit Boundary Markers for Subword Vocabularies Neural Machine Translation of Rare Words with Subword Units
Reference 33
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Unavailable: canonical work link unavailable.
Observation 12d5a6d2-733c-4b29-bd8e-ce3d6cd24e35 · outbound
Explicit Boundary Markers for Subword Vocabularies Proceedings of the 31st International Conference on Computational Linguistics
Reference 34
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Observation b1eade6e-3477-46a0-9915-cc72bdc2c8ba · outbound
Explicit Boundary Markers for Subword Vocabularies Pre-tokenization on punctuation in
Reference 35
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Observation f1eccd93-d700-4501-ba30-f13f45e3191f · outbound
Explicit Boundary Markers for Subword Vocabularies Unresolved cited work
Reference 36
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Observation bbf3f645-201b-4ed4-b11e-48485c39c1b9 · outbound
Explicit Boundary Markers for Subword Vocabularies A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
Reference 37
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Explicit Boundary Markers for Subword Vocabularies CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Reference 39
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Explicit Boundary Markers for Subword Vocabularies Jamo-Level Subword Tokenization in Low-Resource K orean Machine Translation
Reference 40
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Explicit Boundary Markers for Subword Vocabularies Fishing for M agikarp: Automatically Detecting Under-trained Tokens in Large Language Models
Reference 41
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Observation dcb03b0c-dc5b-4a0d-b9e3-1262318dea22 · outbound
Explicit Boundary Markers for Subword Vocabularies HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 42
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Observation 7b983339-8701-4503-9b88-14ecdd2ed58b · outbound
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Reference 43
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Explicit Boundary Markers for Subword Vocabularies Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
Reference 44
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Observation 95e4aa0c-f6ae-4952-acbc-4ac8f4c3e651 · outbound
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Reference 45
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Explicit Boundary Markers for Subword Vocabularies Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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Reference 52
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Reference 53
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Reference 54
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Observation 84aeb7f1-bfd1-4ec8-a4ee-418263d4d8e6 · outbound
Explicit Boundary Markers for Subword Vocabularies Why do language models perform worse for morphologically complex languages?
Reference 55
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Reference 56
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Observation 7d456155-f456-4f34-8358-8b8b1f4eb84d · outbound
Explicit Boundary Markers for Subword Vocabularies Superbizarre Is Not Superb: Derivational Morphology Improves BERT ' s Interpretation of Complex Words
Reference 57
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Reference 58
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Reference 59
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Reference 60
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Explicit Boundary Markers for Subword Vocabularies The U niversity of E dinburgh ' s Neural MT Systems for WMT 17
Reference 61
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Reference 62
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Reference 63
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Explicit Boundary Markers for Subword Vocabularies 2026 , eprint=
Reference 64
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Reference 65
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Reference 66
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Explicit Boundary Markers for Subword Vocabularies and Carmon, Yair and Dave, Achal and Schmidt, Ludwig and Shankar, Vaishaal , booktitle =
Reference 67
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.