The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora | Paper Citation Record

Observation 7d80d665-7783-47b8-b398-985c485bc325 · outbound

This paper cites OLMo-core: src/scripts/official/OLMo3/.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora OLMo-core: src/scripts/official/OLMo3/

Reference 1

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This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 2

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This paper cites Altmann, Giampaolo Cristadoro, and Mirko Degli Esposti.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Altmann, Giampaolo Cristadoro, and Mirko Degli Esposti

Reference 3

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This paper cites Álvarez-Lacalle, B.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Álvarez-Lacalle, B

Reference 4

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This paper cites Predicting the Emergence of Induction Heads in Language Model Pretraining.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Predicting the Emergence of Induction Heads in Language Model Pretraining

Reference 5

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This paper cites Docling Technical Report.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Docling Technical Report

Reference 6

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This paper cites Hubs or Fringes: Pretraining Data Selection via Web Graph Centrality.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Hubs or Fringes: Pretraining Data Selection via Web Graph Centrality

Reference 7

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This paper cites One Token Away from Collapse: The Fragility of Instruction-Tuned Helpfulness.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora One Token Away from Collapse: The Fragility of Instruction-Tuned Helpfulness

Reference 8

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Observation 41bcf5ad-13c7-433a-a79e-24192c9b15cb · outbound

This paper cites trafilatura: trafilatura/xml.py.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora trafilatura: trafilatura/xml.py

Reference 9

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This paper cites so much depends / upon / a whitespace: Why whitespace matters for poets and LLMs.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora so much depends / upon / a whitespace: Why whitespace matters for poets and LLMs

Reference 10

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Observation 2f9d920d-da0f-464f-9bd6-bbb8cda7e9ab · outbound

This paper cites Datasheet for the Pile.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Datasheet for the Pile

Reference 11

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This paper cites Document structure in long document transformers.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Document structure in long document transformers

Reference 12

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This paper cites Institutional Books 1.0: A 242B token dataset from Harvard Library's collections, refined for accuracy and usability.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Institutional Books 1.0: A 242B token dataset from Harvard Library's collections, refined for accuracy and usability

Reference 13

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Observation 43aa3385-dc1c-4f16-b758-417d27f747bb · outbound

This paper cites The hyperfitting phenomenon: Sharpening and stabilizing LLMs for open-ended text generation.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The hyperfitting phenomenon: Sharpening and stabilizing LLMs for open-ended text generation

Reference 14

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Observation 156cc986-1daa-496c-8fe1-8c5cc669b1fc · outbound

This paper cites LADM: Long-context training data selection with attention-based dependency measurement for LLMs.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora LADM: Long-context training data selection with attention-based dependency measurement for LLMs

Reference 15

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Observation 4d1abd8a-90fd-4fb2-a152-b747d8e0faf0 · outbound

This paper cites Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining

Reference 16

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Observation d160b479-63d7-48c9-9ddb-34bcb237ebf9 · outbound

This paper cites Data mixing for large language models pretraining: A survey and outlook.Data Intelligence, 8, 2026.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Data mixing for large language models pretraining: A survey and outlook.Data Intelligence, 8, 2026

Reference 17

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This paper cites BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Reference 18

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Observation 0027d995-38f6-4114-be5c-b034cb9789c5 · outbound

This paper cites DeepSeek-V3 Technical Report.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora DeepSeek-V3 Technical Report

Reference 19

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This paper cites Beyond length: Quantifying long-range information for long-context LLM pretraining data.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Beyond length: Quantifying long-range information for long-context LLM pretraining data

Reference 20

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Observation dc48d7d6-ec33-42c2-a612-f06bfed0e0b9 · outbound

This paper cites Documenting large webtext corpora: A case study on the Colossal Clean Crawled Corpus.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Documenting large webtext corpora: A case study on the Colossal Clean Crawled Corpus

Reference 21

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Observation 60dba6c3-a6b3-4fb0-b134-fa4678e33448 · outbound

This paper cites Smith, and Jesse Dodge.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Smith, and Jesse Dodge

Reference 22

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This paper cites DoGE: Domain Reweighting with Generalization Estimation.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora DoGE: Domain Reweighting with Generalization Estimation

Reference 23

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The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Unresolved cited work

Reference 24

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This paper cites NExtLong: Toward effective long-context training without long documents.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora NExtLong: Toward effective long-context training without long documents

Reference 25

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This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 26

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This paper cites Wichmann.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Wichmann

Reference 27

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This paper cites Hermann, Hossein Mobahi, Thomas Fel, and Michael C.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Hermann, Hossein Mobahi, Thomas Fel, and Michael C

Reference 28

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This paper cites The curious case of neural text degeneration.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The curious case of neural text degeneration

Reference 29

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This paper cites FinePDFs dataset card.https://huggingface.co/datasets/HuggingFaceFW/ finepdfs, 2025.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora FinePDFs dataset card.https://huggingface.co/datasets/HuggingFaceFW/ finepdfs, 2025

Reference 30

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This paper cites SmolLM3: smol, multilingual, long-context reasoner.https://huggingface.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora SmolLM3: smol, multilingual, long-context reasoner.https://huggingface

Reference 31

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The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora datatrove: src/datatrove/pipeline/extractors/trafilatura.py

Reference 32

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This paper cites propella-1: Multi- property document annotation for LLM data curation at scale.arXiv preprint arXiv:2602.12414,.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora propella-1: Multi- property document annotation for LLM data curation at scale.arXiv preprint arXiv:2602.12414,

Reference 33

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This paper cites ISO 32000-1:2008 — document management: Portable document format — part 1: PDF 1.7.https://www.iso.org/standard/51502.html, 2008.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora ISO 32000-1:2008 — document management: Portable document format — part 1: PDF 1.7.https://www.iso.org/standard/51502.html, 2008

Reference 34

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This paper cites EntropyLong: Effective long-context training via predictive uncertainty.arXiv preprint arXiv:2510.02330, 2025.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora EntropyLong: Effective long-context training via predictive uncertainty.arXiv preprint arXiv:2510.02330, 2025

Reference 35

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This paper cites Characterizing Narrative Content in Web-scale LLM Pretraining Data.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Characterizing Narrative Content in Web-scale LLM Pretraining Data

Reference 36

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This paper cites The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Reference 37

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This paper cites Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset

Reference 38

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This paper cites Is a document educational or just Wikipedia- style? pitfalls of classifier-based quality filtering.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Is a document educational or just Wikipedia- style? pitfalls of classifier-based quality filtering

Reference 39

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This paper cites Quality at a glance: An audit of web-crawled multilingual datasets.Transactions of the Association for Computational Linguistics, 10:50–72, 2022.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Quality at a glance: An audit of web-crawled multilingual datasets.Transactions of the Association for Computational Linguistics, 10:50–72, 2022

Reference 40

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Observation f27ed3ec-bb4c-46b4-ae4d-2a9b886c6118 · outbound

This paper cites The Format Tax.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Format Tax

Reference 41

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This paper cites DataComp-LM: In search of the next generation of training sets for language models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora DataComp-LM: In search of the next generation of training sets for language models

Reference 42

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The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Unresolved cited work

Reference 43

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This paper cites Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction

Reference 44

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This paper cites URLhttps://aclanthology.org/2026.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora URLhttps://aclanthology.org/2026

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.317293Z

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This paper cites Improving Cross-Format Robustness in Language Models with Multi-Format Training.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Improving Cross-Format Robustness in Language Models with Multi-Format Training

Reference 46

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Observation 25f795c0-df9c-40f4-9f66-2c55d3361661 · outbound

This paper cites Lin and Max Tegmark.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Lin and Max Tegmark

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.306962Z

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This paper cites RegMix: Data mixture as regression for language model pre-training.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora RegMix: Data mixture as regression for language model pre-training

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.295866Z

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This paper cites Dripper: Token-efficient main HTML extraction with a lightweight LM.arXiv preprint arXiv:2511.23119, 2026.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Dripper: Token-efficient main HTML extraction with a lightweight LM.arXiv preprint arXiv:2511.23119, 2026

Reference 49

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This paper cites The Llama 3 Herd of Models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Llama 3 Herd of Models

Reference 50

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This paper cites Sentence-Level Contextual Entrainment in Large Language Models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Sentence-Level Contextual Entrainment in Large Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:09.507694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5137b5c-cf5d-47a5-84ea-9e466309a633 · outbound

This paper cites AICC: Parse HTML finer, make models better — a 7.3T AI-ready corpus built by a model-based HTML parser.arXiv preprint arXiv:2511.16397, 2025.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora AICC: Parse HTML finer, make models better — a 7.3T AI-ready corpus built by a model-based HTML parser.arXiv preprint arXiv:2511.16397, 2025

Reference 52

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:46:09.481795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93ae5958-d8be-46eb-85f4-3c175b4b06f0 · outbound

This paper cites Klein, and Jesse Dodge.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Klein, and Jesse Dodge

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.284672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10e8715e-bef4-4679-b9da-9eb126cf768c · outbound

This paper cites Measuring fingerprints of web-filtered text datasets and fingerprint propagation through training.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Measuring fingerprints of web-filtered text datasets and fingerprint propagation through training

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.273034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 444cfb4f-cdf9-472d-976a-a057fb97ee46 · outbound

This paper cites Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.722972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa540b93-f654-4ab3-84f3-d1e757d5e802 · outbound

This paper cites Register always matters: Analysis of LLM pretraining data through the lens of language variation.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Register always matters: Analysis of LLM pretraining data through the lens of language variation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.249473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97697682-5627-4c5a-a214-f2ee8e11b7c1 · outbound

This paper cites Autocorrelations decay in texts and applicability limits of language models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Autocorrelations decay in texts and applicability limits of language models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.261287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b557be46-2c86-42f9-b7f5-81062df62b81 · outbound

This paper cites OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:09.381154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 51c0e49c-0dc6-42b7-bf33-b9b0d4c9e571 · outbound

This paper cites How can we synthesize high-quality pretraining data? a systematic study of prompt design, generator model, and source data.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora How can we synthesize high-quality pretraining data? a systematic study of prompt design, generator model, and source data

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.237160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c942c904-4efd-4d69-986e-b685988a64f1 · outbound

This paper cites Chapter captor: Text segmentation in novels.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Chapter captor: Text segmentation in novels

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.212033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f850bd65-f37e-43a8-aa69-76b26ee8073d · outbound

This paper cites The FineWeb datasets: Decanting the web for the finest text data at scale.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The FineWeb datasets: Decanting the web for the finest text data at scale

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.224614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5621d9f2-4963-4970-9a38-b58d6e7f334c · outbound

This paper cites epub2txt-all (the Books3 converter).

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora epub2txt-all (the Books3 converter)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.199905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d9838a3-5ba8-4b88-9e4c-f7158e283ada · outbound

This paper cites olmOCR: Unlocking trillions of tokens in PDFs with vision language models.arXiv preprint arXiv:2502.18443, 2025.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora olmOCR: Unlocking trillions of tokens in PDFs with vision language models.arXiv preprint arXiv:2502.18443, 2025

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.752778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446a9c39-3345-49e4-9aef-f56c30b97526 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Compressive Transformers for Long-Range Sequence Modelling

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.767917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ceff82-8002-4e0a-be0d-3efb1465cc9e · outbound

This paper cites an unresolved cited work.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.772122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0bb3eb7-1ceb-47b6-bf73-1ed42815cf9c · outbound

This paper cites Qwen3 Technical Report.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Qwen3 Technical Report

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.764228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d60be1-2d4a-48ba-8dda-7d2d8d797a99 · outbound

This paper cites From reflection to repair: A scoping review of dataset documentation tools.arXiv preprint arXiv:2602.15968, 2026.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora From reflection to repair: A scoping review of dataset documentation tools.arXiv preprint arXiv:2602.15968, 2026

Reference 67

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:46:09.276678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 750a02df-cc2a-49d0-a0b3-b44af8141697 · outbound

This paper cites Scale-dependent Relationships in Natural Language.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Scale-dependent Relationships in Natural Language

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:09.126130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b128d4cb-385d-4b47-b6b6-327a3051d027 · outbound

This paper cites RolmOCR model card.https://huggingface.co/reducto/RolmOCR, 2025.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora RolmOCR model card.https://huggingface.co/reducto/RolmOCR, 2025

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.171029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1587bca-a466-47c0-b32e-464756d736b5 · outbound

This paper cites Dolma: an open corpus of three trillion tokens for language model pretraining research.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Dolma: an open corpus of three trillion tokens for language model pretraining research

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.160064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29167a1b-8011-4c3f-900d-5dc057727d6c · outbound

This paper cites Nemotron-CC: Transforming Common Crawl into a refined long-horizon pretraining dataset.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Nemotron-CC: Transforming Common Crawl into a refined long-horizon pretraining dataset

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.149510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62b3ba69-8815-4713-bb09-6d9e2ed0ef23 · outbound

This paper cites Mutual Information Scaling and Expressive Power of Sequence Models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Mutual Information Scaling and Expressive Power of Sequence Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.787163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da602af8-0010-4589-8474-d649bc5a0871 · outbound

This paper cites ChapterBreak: A challenge dataset for long-range language models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora ChapterBreak: A challenge dataset for long-range language models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.126803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76e0f288-a66c-47b6-a6e8-09f72bfec00d · outbound

This paper cites Accessed 2026-08-09.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Accessed 2026-08-09

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.115418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4994bef-5a84-4127-a17e-4746bbf90d83 · outbound

This paper cites Zico Kolter, and Zhuang Liu.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Zico Kolter, and Zhuang Liu

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.137800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5550b4f1-6a93-4bcb-b9a6-2ca0d227321a · outbound

This paper cites Olmo 3.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Olmo 3

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.812864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289ede77-7263-4f8d-a5f7-ef76910dc4c5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora LLaMA: Open and Efficient Foundation Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.816699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d3ea3d-4234-465e-a029-1c2afa2026c7 · outbound

This paper cites Beyond Rephrasing: Book-Level Organization Improves Synthetic Textbook Data for Mid-Training.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Beyond Rephrasing: Book-Level Organization Improves Synthetic Textbook Data for Mid-Training

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:09.099133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e46ee02-9ea8-4e60-90cc-bbb5544db8d6 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.824450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6d276c-610c-4bd9-a5b5-32e35470cdcd · outbound

This paper cites PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation

Reference 80

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T23:46:09.034640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 919507d1-adee-44a2-83b1-faa97958128e · outbound

This paper cites Right Reset: Chunking by Prefix Removal.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Right Reset: Chunking by Prefix Removal

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:09.062126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 98108d02-c141-47d1-b782-01ac336a211b · outbound

This paper cites LongAttn: Selecting Long-context Training Data via Token-level Attention.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora LongAttn: Selecting Long-context Training Data via Token-level Attention

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.837385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2ba5af-8693-43c8-be69-52a84b441af7 · outbound

This paper cites Morris, and Lionel Levine.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Morris, and Lionel Levine

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.104141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f755bad9-c5f7-4fd5-aac2-ad53e0bfc3d9 · outbound

This paper cites Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.832563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f060d25-0c30-40be-b921-38c88aca8d45 · outbound

This paper cites Learning to break the loop: Analyzing and mitigating repetitions for neural text generation.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Learning to break the loop: Analyzing and mitigating repetitions for neural text generation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.081092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab284549-a24a-4633-b8d2-26b4f68c11b5 · outbound

This paper cites Data mixing laws: Optimizing data mixtures by predicting language modeling performance.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Data mixing laws: Optimizing data mixtures by predicting language modeling performance

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.069815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3478cf59-34f1-41c0-aec3-6735908add7d · outbound

This paper cites Le, Tengyu Ma, and Adams Wei Yu.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Le, Tengyu Ma, and Adams Wei Yu

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.093107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9f9598ca-fc52-4c51-a957-b418b878adba · outbound

This paper cites Zacks, Nicole K.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Zacks, Nicole K

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.058298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85c2b94d-26cb-436d-9add-963dc6f821d8 · outbound

This paper cites From lists to emojis: How format bias affects model alignment.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora From lists to emojis: How format bias affects model alignment

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.046021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55707357-ff8e-4d89-a41d-509c1a44cd00 · outbound

This paper cites The Price of Format: Diversity Collapse in LLMs.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Price of Format: Diversity Collapse in LLMs

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.856924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e68ee45-f4ca-422f-b1fa-1e001cbd6add · outbound

This paper cites The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora The Structural Attention Tax: How Retrieval Format Hijacks In-Context Learning Independent of Content

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:08.971210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84df4455-b9e6-4dd6-a651-dabc1196f62e · outbound

This paper cites Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:08.954229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9619982f-93a7-474e-989e-ae8073391783 · outbound

This paper cites Scalable Visual Pretraining for Language Intelligence.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Scalable Visual Pretraining for Language Intelligence

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:46:08.987020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58d6a4af-29c9-4e81-8567-412d9a7bc57c · outbound

This paper cites Zwaan and Gabriel A.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Zwaan and Gabriel A

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:46:10.034224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 075984c6-1b52-438d-be3c-70502615977e · outbound

This paper cites Enhancing LLM Knowledge Learning through Generalization.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Enhancing LLM Knowledge Learning through Generalization

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.879720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812918f9-4bb3-4ae1-b781-fff4d2ae9688 · outbound

This paper cites an unresolved cited work.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:46:10.188682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 769428fc-d8fc-4600-8193-4babf0e61a92 · outbound

This paper cites an unresolved cited work.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-11T23:46:08.644369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers