Paper Citation Record · LEDGER

Bridging the Data Provenance Gap Across Text, Speech and Video

As of 18 August 2026, this Paper Citation Record lists 100 of 294 outbound references and 4 inbound Pith citation observations for arXiv:2412.17847.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.17847 v2

Coverage vector

measured 100 of 294 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:39.408235Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:55.579720Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T10:29:46.922814Z

Reference resolution

100 of 294 outbound references displayed

verified exact3
verified fuzzy0
unresolved95
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d2e697d-9363-4731-9070-bf871ededd9e · outbound

This paper cites Untitled review,.

Bridging the Data Provenance Gap Across Text, Speech and Video Untitled review,

Reference 1

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Source-reported events for the cited work

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Observation 35b7cf81-d240-4fbd-ada6-a818d742b7b9 · outbound

This paper cites On the measurement of inequality,.

Bridging the Data Provenance Gap Across Text, Speech and Video On the measurement of inequality,

Reference 2

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Source-reported events for the cited work

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Observation e2282deb-125e-45b2-882f-16665140cebb · outbound

This paper cites A survey of video datasets for human action and activity recognition,.

Bridging the Data Provenance Gap Across Text, Speech and Video A survey of video datasets for human action and activity recognition,

Reference 3

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Source-reported events for the cited work

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Observation 451848a5-994d-49c4-9fff-d7657153b0eb · outbound

This paper cites No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World.

Bridging the Data Provenance Gap Across Text, Speech and Video No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Reference 8

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Source-reported events for the cited work

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Observation e33bdddd-86c1-47be-b88e-69b800095733 · outbound

This paper cites Playing hard exploration games by watching youtube,.

Bridging the Data Provenance Gap Across Text, Speech and Video Playing hard exploration games by watching youtube,

Reference 9

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Source-reported events for the cited work

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Observation bb59c224-4697-4f53-8ab6-5172831b101f · outbound

This paper cites Data statements for natural language processing: Toward mitigating system bias and enabling better science,.

Bridging the Data Provenance Gap Across Text, Speech and Video Data statements for natural language processing: Toward mitigating system bias and enabling better science,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.439558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe633ed-dd3b-45da-b569-e1fad83c52ea · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commer- cial gender classification,.

Bridging the Data Provenance Gap Across Text, Speech and Video Gender shades: Intersectional accuracy disparities in commer- cial gender classification,

Reference 12

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Source-reported events for the cited work

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Observation 4bad7737-d010-4bdb-8af7-b4f872455d9b · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Bridging the Data Provenance Gap Across Text, Speech and Video Common Voice: A Massively-Multilingual Speech Corpus

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.455322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c45452e-f139-45a0-bf04-d93d8c0f3bd4 · outbound

This paper cites Does object recognition work for everyone?.

Bridging the Data Provenance Gap Across Text, Speech and Video Does object recognition work for everyone?

Reference 14

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Source-reported events for the cited work

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Observation 5ff71237-162e-436d-9b39-b03f1d114e73 · outbound

This paper cites Visual to text: Survey of image and video captioning,.

Bridging the Data Provenance Gap Across Text, Speech and Video Visual to text: Survey of image and video captioning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.465688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35a663c-9573-485b-9e10-9abecab58c56 · outbound

This paper cites Mundane content on social media: Creation, circulation, and the copyright problem,.

Bridging the Data Provenance Gap Across Text, Speech and Video Mundane content on social media: Creation, circulation, and the copyright problem,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.475425Z

Source-reported events for the cited work

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Observation 1fc08473-de3a-4765-ac48-f08e88e3bc29 · outbound

This paper cites Model cards for model reporting,.

Bridging the Data Provenance Gap Across Text, Speech and Video Model cards for model reporting,

Reference 17

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Observation 344370fa-0a08-4f67-b9e7-9e12a29c9f31 · outbound

This paper cites Moments in time dataset: One million videos for event understanding,.

Bridging the Data Provenance Gap Across Text, Speech and Video Moments in time dataset: One million videos for event understanding,

Reference 18

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Observation 1e5c51d5-f155-4514-8a01-f5e99c5516ff · outbound

This paper cites Social data: Biases, methodological pitfalls, and ethical boundaries,.

Bridging the Data Provenance Gap Across Text, Speech and Video Social data: Biases, methodological pitfalls, and ethical boundaries,

Reference 19

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Source-reported events for the cited work

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Observation 3946237d-fc0f-40da-b651-d5dfc4a3a7a2 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

Bridging the Data Provenance Gap Across Text, Speech and Video Common voice: A massively-multilingual speech corpus,

Reference 20

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Unavailable: canonical work link unavailable.

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This paper cites Language models are few-shot learners,.

Bridging the Data Provenance Gap Across Text, Speech and Video Language models are few-shot learners,

Reference 21

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Source-reported events for the cited work

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Observation a6dac15b-1494-4175-8e2c-69d289565a6f · outbound

This paper cites Semantic visual navigation by watching youtube videos,.

Bridging the Data Provenance Gap Across Text, Speech and Video Semantic visual navigation by watching youtube videos,

Reference 22

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Source-reported events for the cited work

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Observation ce6f8933-2302-4e48-b68f-0f587ae271c6 · outbound

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

Bridging the Data Provenance Gap Across Text, Speech and Video The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.680509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30bb912-7912-4b60-b6fe-6fba66ac48df · outbound

This paper cites Henighan, J.

Bridging the Data Provenance Gap Across Text, Speech and Video Henighan, J

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c752b47-712b-423e-b07d-ea61403fc7af · outbound

This paper cites The State and Fate of Linguistic Diversity and Inclusion in the NLP World.

Bridging the Data Provenance Gap Across Text, Speech and Video The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.791548Z

Source-reported events for the cited work

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Observation 74dbc32e-d3be-4898-bfd6-fa3f21ed6852 · outbound

This paper cites Scaling Laws for Neural Language Models.

Bridging the Data Provenance Gap Across Text, Speech and Video Scaling Laws for Neural Language Models

Reference 26

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Observation 5d6e7218-edcc-455c-891e-f25bd84cb20a · outbound

This paper cites AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages.

Bridging the Data Provenance Gap Across Text, Speech and Video AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

Reference 27

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Observation b6405bc6-1edc-4336-8eb5-d9bdd853938c · outbound

This paper cites Beyond “i agree.

Bridging the Data Provenance Gap Across Text, Speech and Video Beyond “i agree

Reference 28

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Observation f8998262-70d3-47b0-8c23-cd235167b500 · outbound

This paper cites The new legal landscape for text mining and machine learning,.

Bridging the Data Provenance Gap Across Text, Speech and Video The new legal landscape for text mining and machine learning,

Reference 29

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Source-reported events for the cited work

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Observation 2d69d7a3-54c0-452e-a900-87ece0af7b7f · outbound

This paper cites A Comprehensive Study of Deep Video Action Recognition.

Bridging the Data Provenance Gap Across Text, Speech and Video A Comprehensive Study of Deep Video Action Recognition

Reference 30

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Source-reported events for the cited work

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Observation f66b7838-838b-40fe-a4b6-321720bcc393 · outbound

This paper cites Masakhaner: Named entity recognition for african languages,.

Bridging the Data Provenance Gap Across Text, Speech and Video Masakhaner: Named entity recognition for african languages,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:37.823677Z

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Observation 893e0746-134a-4274-b4b5-0297d839abf1 · outbound

This paper cites How might we create better benchmarks for speech recognition?.

Bridging the Data Provenance Gap Across Text, Speech and Video How might we create better benchmarks for speech recognition?

Reference 32

Resolution: verified exact; doi, observed 2026-08-11T12:18:43.839640Z

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Observation dc9a17e6-7fc7-4c7d-a0bd-87032b8376a0 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Bridging the Data Provenance Gap Across Text, Speech and Video XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 33

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Observation b110d844-2909-4230-986f-87078a386f56 · outbound

This paper cites Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus.

Bridging the Data Provenance Gap Across Text, Speech and Video Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

Reference 34

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Observation 12001a36-45c2-481e-ba93-b4a44767bdbd · outbound

This paper cites Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Bridging the Data Provenance Gap Across Text, Speech and Video Multimodal datasets: misogyny, pornography, and malignant stereotypes

Reference 35

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Observation 37cc4280-6d2c-41bd-b2a2-2ca514b35e48 · outbound

This paper cites Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets.

Bridging the Data Provenance Gap Across Text, Speech and Video Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

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Observation f7eaaa3e-eb0a-40ca-8030-aea1d999d7f2 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Documenting large webtext corpora: A case study on the colossal clean crawled corpus,

Reference 37

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Observation b194b82b-4595-4f52-8e28-41de7c5e4670 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Bridging the Data Provenance Gap Across Text, Speech and Video An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 38

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Bridging the Data Provenance Gap Across Text, Speech and Video Datasheets for datasets,

Reference 39

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Bridging the Data Provenance Gap Across Text, Speech and Video What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus

Reference 40

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This paper cites Understanding Gender and Racial Disparities in Image Recognition Models.

Bridging the Data Provenance Gap Across Text, Speech and Video Understanding Gender and Racial Disparities in Image Recognition Models

Reference 41

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Bridging the Data Provenance Gap Across Text, Speech and Video Automatic speech recognition: A survey,

Reference 42

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Bridging the Data Provenance Gap Across Text, Speech and Video Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions

Reference 43

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Bridging the Data Provenance Gap Across Text, Speech and Video Data and its (dis) contents: A survey of dataset development and use in machine learning research,

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Bridging the Data Provenance Gap Across Text, Speech and Video Learning Transferable Visual Models From Natural Language Supervision

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Bridging the Data Provenance Gap Across Text, Speech and Video Changing the world by changing the data,

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Bridging the Data Provenance Gap Across Text, Speech and Video “Everyone wants to do the model work, not the data work

Reference 47

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Bridging the Data Provenance Gap Across Text, Speech and Video Multitask Prompted Training Enables Zero-Shot Task Generalization

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Bridging the Data Provenance Gap Across Text, Speech and Video Finetuned language models are zero-shot learners,

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Bridging the Data Provenance Gap Across Text, Speech and Video Challenges in detoxifying language models,

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Bridging the Data Provenance Gap Across Text, Speech and Video Detoxifying language models risks marginalizing minority voices,

Reference 51

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Bridging the Data Provenance Gap Across Text, Speech and Video Masader: Metadata sourcing for arabic text and speech data resources,

Reference 52

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Bridging the Data Provenance Gap Across Text, Speech and Video Quantifying Memorization Across Neural Language Models

Reference 53

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Bridging the Data Provenance Gap Across Text, Speech and Video CLAP: Learning Audio Concepts From Natural Language Supervision

Reference 54

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Bridging the Data Provenance Gap Across Text, Speech and Video Dataset geography: Mapping language data to language users,

Reference 55

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Bridging the Data Provenance Gap Across Text, Speech and Video The flores-101 evaluation benchmark for low- resource and multilingual machine translation,

Reference 56

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Bridging the Data Provenance Gap Across Text, Speech and Video Training Compute-Optimal Large Language Models

Reference 57

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Bridging the Data Provenance Gap Across Text, Speech and Video Leakage and the Reproducibility Crisis in ML-based Science

Reference 58

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Bridging the Data Provenance Gap Across Text, Speech and Video Quality at a glance: An audit of web-crawled multilingual datasets,

Reference 59

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Bridging the Data Provenance Gap Across Text, Speech and Video The bigscience roots corpus: A 1.6tb composite multilingual dataset,

Reference 60

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Bridging the Data Provenance Gap Across Text, Speech and Video McMillan-Major, Z

Reference 61

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This paper cites Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources.

Bridging the Data Provenance Gap Across Text, Speech and Video Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources

Reference 62

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Bridging the Data Provenance Gap Across Text, Speech and Video Video Captioning: a comparative review of where we are and which could be the route

Reference 63

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Observation ece03659-e309-47c9-bd25-9187a2f22a40 · outbound

This paper cites Training language models to follow instructions with human feedback.

Bridging the Data Provenance Gap Across Text, Speech and Video Training language models to follow instructions with human feedback

Reference 64

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Observation eeb9ff7f-ebfb-4a92-b1c9-59ba47d99210 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Bridging the Data Provenance Gap Across Text, Speech and Video Hierarchical Text-Conditional Image Generation with CLIP Latents

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Observation bfcda661-d96c-45b1-8a7c-9f9e218c7b27 · outbound

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Observation 620b7cc8-ab03-427c-8fb9-dc438dc81a84 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Bridging the Data Provenance Gap Across Text, Speech and Video Make-A-Video: Text-to-Video Generation without Text-Video Data

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Bridging the Data Provenance Gap Across Text, Speech and Video Bigssl: Exploring the frontier of large-scale semi- supervised learning for automatic speech recognition,

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This paper cites Survey of video object detection algorithms based on deep learning,.

Bridging the Data Provenance Gap Across Text, Speech and Video Survey of video object detection algorithms based on deep learning,

Reference 69

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Observation d9e123a1-2b13-4e5c-9d06-3c722eafefbf · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Scaling laws for generative mixed-modal language models,

Reference 70

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Observation b367f587-fa50-47ed-bc01-c0d2b9d1fc8d · outbound

This paper cites Into the LAIONs Den: Investigating Hate in Multimodal Datasets.

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Reference 71

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Bridging the Data Provenance Gap Across Text, Speech and Video Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 72

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Bridging the Data Provenance Gap Across Text, Speech and Video Bommasani, K

Reference 73

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Bridging the Data Provenance Gap Across Text, Speech and Video Quantifying mem- orization across neural language models,

Reference 74

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Observation a42caaa4-cdcb-45c4-9ead-d19002074711 · outbound

This paper cites Extracting training data from diffusion models,.

Bridging the Data Provenance Gap Across Text, Speech and Video Extracting training data from diffusion models,

Reference 75

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Observation 54fe29a2-755f-4047-99b8-789c979b5006 · outbound

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Reference 76

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This paper cites Gender bias in hiring: An analysis of the impact of amazon’s recruiting algorithm,.

Bridging the Data Provenance Gap Across Text, Speech and Video Gender bias in hiring: An analysis of the impact of amazon’s recruiting algorithm,

Reference 77

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This paper cites Can language models be instructed to protect personal information?.

Bridging the Data Provenance Gap Across Text, Speech and Video Can language models be instructed to protect personal information?

Reference 78

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This paper cites Dialect corpora from youtube,.

Bridging the Data Provenance Gap Across Text, Speech and Video Dialect corpora from youtube,

Reference 79

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This paper cites Ai image training dataset found to include child sexual abuse imagery,.

Bridging the Data Provenance Gap Across Text, Speech and Video Ai image training dataset found to include child sexual abuse imagery,

Reference 80

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Observation ac8b0b81-05d2-44d2-80ab-8b9b75a26d3c · outbound

This paper cites What’s in my big data?.

Bridging the Data Provenance Gap Across Text, Speech and Video What’s in my big data?

Reference 81

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Bridging the Data Provenance Gap Across Text, Speech and Video Structure and Content-Guided Video Synthesis with Diffusion Models

Reference 82

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This paper cites Datacomp: In search of the next generation of multi- modal datasets,.

Bridging the Data Provenance Gap Across Text, Speech and Video Datacomp: In search of the next generation of multi- modal datasets,

Reference 83

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This paper cites Foundation Models and Fair Use.

Bridging the Data Provenance Gap Across Text, Speech and Video Foundation Models and Fair Use

Reference 84

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Bridging the Data Provenance Gap Across Text, Speech and Video Understanding Catastrophic Forgetting in Language Models via Implicit Inference

Reference 85

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Bridging the Data Provenance Gap Across Text, Speech and Video Harnessing large-language models to generate private synthetic text

Reference 86

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This paper cites Platypus: Quick, cheap, and powerful refinement of llms,.

Bridging the Data Provenance Gap Across Text, Speech and Video Platypus: Quick, cheap, and powerful refinement of llms,

Reference 87

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Observation ba48ea07-989c-47a4-aee0-07531fc70397 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain

Reference 88

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Bridging the Data Provenance Gap Across Text, Speech and Video Yodas: Youtube- oriented dataset for audio and speech,

Reference 89

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Observation d11f82cf-ddcf-4ed4-ab4a-5c78826f1023 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Unresolved cited work

Reference 90

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Bridging the Data Provenance Gap Across Text, Speech and Video Visual instruction tuning,

Reference 91

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This paper cites A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Bridging the Data Provenance Gap Across Text, Speech and Video A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Reference 92

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Observation fdb8e334-5406-470b-95e3-22b98326fd19 · outbound

This paper cites Discit ergo est: Training data provenance and fair use,.

Bridging the Data Provenance Gap Across Text, Speech and Video Discit ergo est: Training data provenance and fair use,

Reference 93

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Observation a9b0fc45-814d-4f19-b5e5-308d7dc85e21 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Mahari, L

Reference 94

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Observation 53ee1090-4624-49ae-9838-0e175b389bef · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Reference 95

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Observation 741641ef-285f-4674-9d8e-3baea912e8ec · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Silo language models: Isolating legal risk in a nonparametric datastore,

Reference 96

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Observation 86a62542-018e-444d-bf1a-c8f8262d6ac3 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Licensed to learn: Mitigating copyright infringement liability of generative ai systems through contracts,

Reference 97

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Observation 46cfb70d-acf1-4ec1-a188-4a4217883aa6 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video Crosslingual generalization through multitask finetuning,

Reference 98

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Observation 1475fb1c-0e1b-4d11-8334-90ac6fdb744d · outbound

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Observation f924aa00-fc87-41a6-93f1-51e58f558f97 · outbound

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Reference 100

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Observation 3e1ca41a-b4bd-4842-b4f9-97955803c8b8 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video The Casual Conversations v2 Dataset

Reference 101

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Observation 68096db9-cb6e-44ed-b8c4-2a61e4ca4d73 · outbound

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Reference 102

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Observation f666d717-3996-42c5-82a0-8677c9420887 · outbound

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Bridging the Data Provenance Gap Across Text, Speech and Video End-to-end speech recognition: A survey,

Reference 103

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Observation 7befe848-6fbc-43f0-931b-1f71b3d37d24 · outbound

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Reference 104

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Observation 08285e19-b154-4f80-a186-dafb12fe9f95 · outbound

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Reference 64

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Observation a93a6730-803a-4979-8f1e-eeefa0299a95 · inbound

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Reference 109

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Observation ba0306ed-e07e-42f3-bcf8-09d27c104048 · inbound

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