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Paper Citation Record · LEDGER

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora

As of 13 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2607.10020.

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

pith.paper-citation-record.v1
2607.10020 v2

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:29:56.617980Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 299 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0d54603-bae2-4ac4-a4f2-f914bea4729b · outbound

This paper cites Why keep hospital clinical records?.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Why keep hospital clinical records?

Reference 1

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source=arxiv_source observed=2026-08-02T07:29:45.764850Z digest=sha256:275d88341659b3ccf2db030846523bf6edb5e479e0afc71c90e469917fccc72d

Observation 760fd118-226d-4c0b-8ad5-1979c6857bfd · outbound

This paper cites We hacked a robot vacuum -- and could watch live through its camera.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora We hacked a robot vacuum -- and could watch live through its camera

Reference 2

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source=arxiv_source observed=2026-08-02T07:29:46.004752Z digest=sha256:c67133381ef59e3b518934b86045a5cc8742fdbd8e239e7d688130d6f4828344

Observation 74baf9c9-0557-43fe-8b0e-7f9f615afb8b · outbound

This paper cites Robot roaming some federal office buildings raises privacy concerns.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Robot roaming some federal office buildings raises privacy concerns

Reference 3

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source=arxiv_source observed=2026-08-02T07:29:46.125248Z digest=sha256:7d01d3b5439c0326868ddc4674ee5b6e4b50d6fe40fccd90502a040152a59529

Observation 4c4261a4-1465-4993-bba6-1447345c3103 · outbound

This paper cites N kan KI-generert tekst vannmerkes.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora N kan KI-generert tekst vannmerkes

Reference 4

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source=arxiv_source observed=2026-08-02T07:29:46.229855Z digest=sha256:3c6b061fbe4ad4e1f43301d3dcce29c99a78f547eb0cea6eb364a301e8dede05

Observation 2497bc79-2f79-4904-ae4e-759f51b388f3 · outbound

This paper cites Kan kunstig intelligens forst spr k?.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Kan kunstig intelligens forst spr k?

Reference 5

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source=arxiv_source observed=2026-08-02T07:29:46.335582Z digest=sha256:94610105da8cd8e61a1e3565a4d9c4e26b0e4e0508110ecef48a964a6925b92b

Observation 04dd53ab-7f6e-484d-ad3f-2caee19896da · outbound

This paper cites Privacy and confidentiality issues in historical health sciences collections 2012 law & informatics issue.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy and confidentiality issues in historical health sciences collections 2012 law & informatics issue

Reference 6

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source=arxiv_source observed=2026-08-02T07:29:46.424923Z digest=sha256:94a179fe888ad75c7274d7b142cd9d3c3f508645f5a0c86de59deb9cc25b7f04

Observation 8db4b614-e4ee-41b7-b7a4-b3823faa611b · outbound

This paper cites Unsupervised Text Deidentification.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Unsupervised Text Deidentification

Reference 7

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source=arxiv_source observed=2026-08-02T07:29:46.540320Z digest=sha256:f5aeb0860f9a1b5ba491335785e35e5d13c52259b743d4c351566a703976a19b

Observation 45bbf452-a756-4be6-83f5-9ffba4578937 · outbound

This paper cites skweak: Weak Supervision Made Easy for NLP.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora skweak: Weak Supervision Made Easy for NLP

Reference 8

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source=arxiv_source observed=2026-08-02T07:29:46.644815Z digest=sha256:46f3cf7d49e02964a02dae99884c2dfe02bbf12a7137d80df2b1945659a4c729

Observation 23c22eb4-2f29-4389-afa9-965d46808059 · outbound

This paper cites Replication in visual diffusion models: A survey and outlook.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Replication in visual diffusion models: A survey and outlook

Reference 9

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source=arxiv_source observed=2026-08-02T07:29:46.731186Z digest=sha256:3c4ccc3f26449c1a64ac8dee8a3f5cd813da2dc7f1f1dbc5e81bb8bd65a5fda3

Observation a57d92e4-465b-49c0-91f8-d30ba4dddf53 · outbound

This paper cites AIStorySimilarity: Quantifying story similarity using narrative for search, IP infringement, and guided creativity.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora AIStorySimilarity: Quantifying story similarity using narrative for search, IP infringement, and guided creativity

Reference 10

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source=arxiv_source observed=2026-08-02T07:29:46.798600Z digest=sha256:2b1f9a9f0a3bb0b412c5b45f3df58fca27b1519a0424e262e6a3e9651faa6d76

Observation ad0178c7-b489-43b8-9a34-604c5ec493ab · outbound

This paper cites CopyBench: Measuring literal and non-literal reproduction of copyright-protected text in language model generation.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora CopyBench: Measuring literal and non-literal reproduction of copyright-protected text in language model generation

Reference 11

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source=arxiv_source observed=2026-08-02T07:29:46.927088Z digest=sha256:a7d2e5eee9d406c142d4e776a5da88e04826ebf0be397968e92ed6a09b22c4cc

Observation da5ac0d6-478c-4538-a520-b134932399e1 · outbound

This paper cites Alignment for Honesty.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Alignment for Honesty

Reference 12

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source=arxiv_source observed=2026-08-02T07:29:47.064745Z digest=sha256:3c9363966c773957835e16745df7ad54559425cb0e5e884f655e3570b7f2714c

Observation e6dfb41e-78ec-48fb-87da-1f7ba95e9a2c · outbound

This paper cites Scaling up membership inference: When and how attacks succeed on large language models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Scaling up membership inference: When and how attacks succeed on large language models

Reference 13

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source=arxiv_source observed=2026-08-02T07:29:47.134746Z digest=sha256:6421830844f6922a83c706f91b1aa0979a0dac869d671a63ad950adb14f42637

Observation 4a4523b1-6cdb-4395-9ec7-e1cb7122e7a7 · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Do Membership Inference Attacks Work on Large Language Models?

Reference 14

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source=arxiv_source observed=2026-08-02T07:29:47.203619Z digest=sha256:f2dbc54a6a9ff5cf25631afd92e1afbfceea1171cff633e7c340fa971d71f0be

Observation 9bb12338-1e1d-49a1-8a1f-ad011c9ed293 · outbound

This paper cites Membership inference attacks cannot prove that a model was trained on your data.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Membership inference attacks cannot prove that a model was trained on your data

Reference 15

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source=arxiv_source observed=2026-08-02T07:29:47.282419Z digest=sha256:8e5bb7a91a6e89ff301a1367cc1c18672661197226e905e43bc55c83ca013dc7

Observation 22d1d0f0-e8ee-47d5-9efe-93cb56786ccb · outbound

This paper cites Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

Reference 16

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source=arxiv_source observed=2026-08-02T07:29:47.364749Z digest=sha256:3860e5af8c75250ddc398cad08b737ec5638cd4683e3d0ff7a0b23f1b9167b58

Observation 04586e23-6be1-4223-a31c-51f85f7b95eb · outbound

This paper cites Noisy Neighbors: Efficient membership inference attacks against LLMs.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Noisy Neighbors: Efficient membership inference attacks against LLMs

Reference 17

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source=arxiv_source observed=2026-08-02T07:29:47.448293Z digest=sha256:22c6267f06d37c0fb0d12a8dca6fb7742f5343e8d7a5bbdff3f1e5693d05568d

Observation 80024a5d-7bc5-4741-9a10-b89a7338045a · outbound

This paper cites DF-MIA: A distribution-free membership Inference Attack on fine-tuned Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora DF-MIA: A distribution-free membership Inference Attack on fine-tuned Large Language Models

Reference 18

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source=arxiv_source observed=2026-08-02T07:29:47.555870Z digest=sha256:85a7494e520fbb992a85377ff31067a15d6ae009c47f1459e288b19bc8ddb0fd

Observation 2c156047-daa3-4a6f-96ab-b86472c98bee · outbound

This paper cites Membership Inference Attacks against Large Vision-Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Membership Inference Attacks against Large Vision-Language Models

Reference 19

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source=arxiv_source observed=2026-08-02T07:29:47.644741Z digest=sha256:6f9335616b06484b39702d71618df2b32588aa270c11b5cd42b72f9a74a00551

Observation 4cced56b-cfcf-4c2c-b357-95b620418b9f · outbound

This paper cites Not all tokens are equal: Membership inference attacks against fine-tuned language models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Not all tokens are equal: Membership inference attacks against fine-tuned language models

Reference 20

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source=arxiv_source observed=2026-08-02T07:29:47.723402Z digest=sha256:9b7170da9f7606c4d72718f61ae33fb4c9b49a106b37b7e423f78fe9c3dc8619

Observation 38c55117-b042-4fd4-b97f-19e1215fd4ba · outbound

This paper cites Data Attribution for Text-to-Image Models by Unlearning Synthesized Images.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

Reference 21

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source=arxiv_source observed=2026-08-02T07:29:47.781899Z digest=sha256:5cf21b93378d4ebaaae9346ea353b49666f0da276f366e52b63593a1a817ecc8

Observation c92bcf2f-71df-4345-aa9f-647cf664a188 · outbound

This paper cites Source-Aware Training Enables Knowledge Attribution in Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Source-Aware Training Enables Knowledge Attribution in Language Models

Reference 22

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source=arxiv_source observed=2026-08-02T07:29:47.888952Z digest=sha256:ce702621fd3e94fb3ef071de1d90fa6de09b7448b237de0d39a991338aa41654

Observation 0cb0bec9-dd8e-4803-85b9-a0159ad22aa6 · outbound

This paper cites Large language models for automated open-domain scientific hypotheses discovery.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Large language models for automated open-domain scientific hypotheses discovery

Reference 23

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source=arxiv_source observed=2026-08-02T07:29:47.959496Z digest=sha256:03bd7212d32793a593858fea7250de99306231879ec14ab579e5226c3a3b1d7b

Observation 26ec1e14-bf82-44f7-9df1-62c9c54af48a · outbound

This paper cites HoneyBee: Progressive instruction finetuning of large language models for materials science.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora HoneyBee: Progressive instruction finetuning of large language models for materials science

Reference 24

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source=arxiv_source observed=2026-08-02T07:29:48.043984Z digest=sha256:a2074e89fc4535f8b38bbd919d171afef520141af2e36e981f443c0f0aa5002a

Observation f258c0d5-b67e-4b97-adfd-ea64aba1fb8a · outbound

This paper cites A large-scale audit of dataset licensing and attribution in AI.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A large-scale audit of dataset licensing and attribution in AI

Reference 25

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source=arxiv_source observed=2026-08-02T07:29:48.135502Z digest=sha256:6c1657d95a77730719cb512c53c6897842260e2f0187fda27a9b8ae87e9055e2

Observation 47234fbd-ae49-45cc-baaf-ebb30f06bfa7 · outbound

This paper cites Inherently privacy-preserving vision for trustworthy autonomous systems: Needs and solutions.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Inherently privacy-preserving vision for trustworthy autonomous systems: Needs and solutions

Reference 26

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source=arxiv_source observed=2026-08-02T07:29:48.281890Z digest=sha256:67ab88d5c42a77a76695a90e27093d7be994d7a5ff2c41dd9579411b8857f195

Observation 89a416d1-62ed-4bd8-b4e8-58f312b0a598 · outbound

This paper cites Unsupervised utility evaluation of text anonymization methods via neural language models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Unsupervised utility evaluation of text anonymization methods via neural language models

Reference 27

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source=arxiv_source observed=2026-08-02T07:29:48.418101Z digest=sha256:fd3e41d74ce485fac35e16de897071f025ef92a8decdc425b5f3a681c9f62b01

Observation 7ec01a1b-3deb-4ca0-9f8f-30f419684436 · outbound

This paper cites Thermal imaging in robotics as a privacy-enhancing or privacy-invasive measure? Misconceptions of privacy when using thermal cameras in robots.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Thermal imaging in robotics as a privacy-enhancing or privacy-invasive measure? Misconceptions of privacy when using thermal cameras in robots

Reference 28

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source=arxiv_source observed=2026-08-02T07:29:48.501824Z digest=sha256:646f2ae792af664604a4fed46d112290a41cf1e8fd6adf5429ec5cbca4b38504

Observation 87695ced-3bc0-4752-b014-836ec80b58bc · outbound

This paper cites Privacy-preserving robot vision with anonymized faces by extreme low resolution.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy-preserving robot vision with anonymized faces by extreme low resolution

Reference 29

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source=arxiv_source observed=2026-08-02T07:29:48.619573Z digest=sha256:d1e86a17afae2e4b04a14b64a163a57eaec7a9e4fc7c22b24ee51f29e3908fc3

Observation 22fe98c6-e55b-4073-aaa8-28a891944be5 · outbound

This paper cites MicPro: Microphone-based voice privacy protection.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora MicPro: Microphone-based voice privacy protection

Reference 30

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source=arxiv_source observed=2026-08-02T07:29:48.702555Z digest=sha256:2eaf448719848f53e1b32068ac1e06d0f90f85ba83db7d8534517b4106a7361a

Observation ba72106d-478b-4674-a76b-12bc3bfd67ab · outbound

This paper cites Investigating privacy in the context of office delivery robots.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Investigating privacy in the context of office delivery robots

Reference 31

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source=arxiv_source observed=2026-08-02T07:29:48.917765Z digest=sha256:fcb7d0d04775e32eea9f1e91162c7e7c5d0fcd6c35a76571a1d5a539de0a4cb5

Observation 9475e226-7db9-4e19-ba5e-8fdf4a0a4c79 · outbound

This paper cites Robots as AI Double Agents: Privacy in Motion Planning.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Robots as AI Double Agents: Privacy in Motion Planning

Reference 32

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source=arxiv_source observed=2026-08-02T07:29:49.091378Z digest=sha256:605c4f1d22bf2fbd749f635c393a84d9033f3219d5818301c22587e438fd0110

Observation e41b3bb5-35d5-4775-9aaf-e0e262e20a07 · outbound

This paper cites Themes and research directions in privacy-sensitive robotics.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Themes and research directions in privacy-sensitive robotics

Reference 33

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source=arxiv_source observed=2026-08-02T07:29:49.217001Z digest=sha256:881afbaf76be80b8fe0dcb7f51fa658cc7bac471fb69874002672b9d529aa5b0

Observation 43a9c8e8-6dc4-4bf7-882c-3aec884c71c4 · outbound

This paper cites Privacy beyond data: Assessment and mitigation of privacy risks in robotic technology for elderly care.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy beyond data: Assessment and mitigation of privacy risks in robotic technology for elderly care

Reference 34

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source=arxiv_source observed=2026-08-02T07:29:49.283071Z digest=sha256:a4ce87629736e751299bf831bf9fbeaceb268667f2446be3d86b77ac998de4f7

Observation 1a50e04c-4a23-4e9d-9161-a0af3322546f · outbound

This paper cites Understanding users' perception of privacy in human-robot interaction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Understanding users' perception of privacy in human-robot interaction

Reference 35

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source=arxiv_source observed=2026-08-02T07:29:49.445722Z digest=sha256:add029d30ce019201fa595352b74b2819113c91d8d30dd61c7b8d18c4f7af5c9

Observation a7298af8-6676-428b-8c8f-dc3fe87ce344 · outbound

This paper cites Privacy considerations for socially assistive robots.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy considerations for socially assistive robots

Reference 36

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Observation 7f1f176f-1065-4f98-a798-667c5618fca5 · outbound

This paper cites Surveying adult perceptions of privacy and attitudes towards social robots in the home.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Surveying adult perceptions of privacy and attitudes towards social robots in the home

Reference 37

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Observation 01ad6569-2ba7-409c-8f0c-1ec495a0e67c · outbound

This paper cites Remix: Making art commerce thrive hybrid economy.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Remix: Making art commerce thrive hybrid economy

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source=arxiv_source observed=2026-08-02T07:29:49.856879Z digest=sha256:e1d122657a46d9a7019eee10cbd826ba3ba48b873338535a2e5061f45ef83a43

Observation 0959cf53-e9e2-4f51-bf2a-e5cc624eedf1 · outbound

This paper cites Conceptions Code: How metaphors explain legal challenges digital times.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Conceptions Code: How metaphors explain legal challenges digital times

Reference 39

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Observation 5049569d-5478-4379-b52e-a35e1b9773b9 · outbound

This paper cites DE-COP: Detecting Copyrighted Content in Language Models Training Data.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora DE-COP: Detecting Copyrighted Content in Language Models Training Data

Reference 40

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source=arxiv_source observed=2026-08-02T07:29:50.049611Z digest=sha256:5bc4b035d53d8affd4244638045d3e96cc8a256eaeaa9a251a9a5c9d6acf3f1f

Observation fbfb04fd-24b1-48eb-bcf3-9905f03dfbd4 · outbound

This paper cites HoneyComb: A Flexible LLM-Based Agent System for Materials Science.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Reference 41

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source=arxiv_source observed=2026-08-02T07:29:50.221970Z digest=sha256:756d71a0288132cfbb3a1cee516432e3b974b0ccb10a5a02f6157f79f77727ca

Observation b53ea92f-a1c6-4225-b2d1-378e950a2bb8 · outbound

This paper cites Materials science in the era of large language models: a perspective.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Materials science in the era of large language models: a perspective

Reference 42

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source=arxiv_source observed=2026-08-02T07:29:50.303864Z digest=sha256:859c33342813e9fe286a58e341f1eb783508cfa6c15014ee471296d14558a6a2

Observation 6821b893-1ee8-4172-b45c-4fbfa8cc526e · outbound

This paper cites MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration

Reference 43

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source=arxiv_source observed=2026-08-02T07:29:50.422257Z digest=sha256:539e67a5408693be9946ba35c13570e3ba131933b819e93e051fef9f19a10800

Observation 1ef80f66-a3d6-4316-b6a1-6c5d56989c2a · outbound

This paper cites MaScQA: investigating materials science knowledge of large language models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora MaScQA: investigating materials science knowledge of large language models

Reference 44

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source=arxiv_source observed=2026-08-02T07:29:50.614745Z digest=sha256:df5597542c3461cec22ab4a391984b406a9ad7467fbbbb93e867d8905f7ad13c

Observation 3cb5b008-b2eb-4259-9a34-8ec3d86011e7 · outbound

This paper cites Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents

Reference 45

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source=arxiv_source observed=2026-08-02T07:29:50.712252Z digest=sha256:d6abc11e3fa61d6ef814b14a6b3d9aa9259a42226476c565bfddf826d9ba57b9

Observation 4c97966f-3c71-49b7-8967-205ede4f96f3 · outbound

This paper cites Crystal structure generation with autoregressive large language modeling.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Crystal structure generation with autoregressive large language modeling

Reference 46

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source=arxiv_source observed=2026-08-02T07:29:50.763996Z digest=sha256:6ce2b49614b6fd6f3170ab01064105eb7104dd3df8fb3b92bc045c16a7527367

Observation b49d04a3-c0c8-427c-96ff-fadfb342b3f6 · outbound

This paper cites Leveraging large language models for predictive chemistry.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Leveraging large language models for predictive chemistry

Reference 47

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source=arxiv_source observed=2026-08-02T07:29:50.840252Z digest=sha256:9944659c890cd19311bb947467555e6fcb43fbec44e215f2b8043e8aed225894

Observation 60bb8533-23dc-47a5-9fd1-dc1bfe864cda · outbound

This paper cites From text to insight: large language models for materials science data extraction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora From text to insight: large language models for materials science data extraction

Reference 48

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source=arxiv_source observed=2026-08-02T07:29:50.954747Z digest=sha256:22ee9ca208ae0d6dd5a3f019404108b47dee611d2c14641fe38c0f03056adac2

Observation fa805cbc-7550-4197-9c7f-dfa0bc41f150 · outbound

This paper cites LLMatDesign: Autonomous Materials Discovery with Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora LLMatDesign: Autonomous Materials Discovery with Large Language Models

Reference 49

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source=arxiv_source observed=2026-08-02T07:29:51.028719Z digest=sha256:60c2f9ab9ed13b2fbff5737d55168d121a9910d06380faab65c8023ce10a1fbd

Observation 020673ba-ab89-425b-9776-c1e22468a2d4 · outbound

This paper cites MatText: Do Language Models Need More than Text & Scale for Materials Modeling?.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora MatText: Do Language Models Need More than Text & Scale for Materials Modeling?

Reference 50

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source=arxiv_source observed=2026-08-02T07:29:51.181184Z digest=sha256:83acf78914102b700f3154b9d01163a62b8ac7b925c4bf8520862e7597805718

Observation 13c577ed-2e34-496b-b1d7-705ab53762f7 · outbound

This paper cites MechGPT, a Language-Based Strategy for Mechanics and Materials Modeling That Connects Knowledge Across Scales, Disciplines, and Modalities.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora MechGPT, a Language-Based Strategy for Mechanics and Materials Modeling That Connects Knowledge Across Scales, Disciplines, and Modalities

Reference 51

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source=arxiv_source observed=2026-08-02T07:29:51.291502Z digest=sha256:3d418765e60612d35b5cb1b2d8ec21e2afbd870750bcb49e7ce4d8eb6335f1e4

Observation de6ae4f3-73bc-4e1c-b6fd-d12e45e74828 · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Self-Alignment with Instruction Backtranslation

Reference 52

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source=arxiv_source observed=2026-08-02T07:29:51.429152Z digest=sha256:c5dae93a12d4f19632f1f79a17503252e183ce63bb41fbb2e4ea786c7b913c2b

Observation 99569f50-e7da-4d32-a0ec-767efd0bd7e3 · outbound

This paper cites Effects of social behaviors of robots in privacy-sensitive situations.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Effects of social behaviors of robots in privacy-sensitive situations

Reference 53

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source=arxiv_source observed=2026-08-02T07:29:51.564656Z digest=sha256:2fb0aa4a7576d3b4e9d7d6b0ab8ae76f337ad9019d518c7b5c453d32d2508287

Observation 0a2b19a8-8cbb-420d-9d09-2a1dab977776 · outbound

This paper cites A Watermark for Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A Watermark for Large Language Models

Reference 54

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source=arxiv_source observed=2026-08-02T07:29:51.664322Z digest=sha256:9794c337f6c4c760742b2f8ff7c80896cd9f1a0a15e8fffdb8b35893203fe0fd

Observation d5d896d7-1073-4092-a79e-8e36c5c9b27b · outbound

This paper cites Privacy and Transparency in Human--Robot Interaction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy and Transparency in Human--Robot Interaction

Reference 55

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source=arxiv_source observed=2026-08-02T07:29:51.707221Z digest=sha256:281b063c2d828220a8eec845e76d6126c54476145ee660cbf8efd748357c0e56

Observation 05a97eb9-858a-4ebc-8b64-864241889547 · outbound

This paper cites Consent in Crisis: The Rapid Decline of the AI Data Commons.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Consent in Crisis: The Rapid Decline of the AI Data Commons

Reference 56

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source=arxiv_source observed=2026-08-02T07:29:51.835162Z digest=sha256:3d96df4393fe51c6e1279383ff719e32d4e44ada7d7ffc9e211c4927bf630fcf

Observation fff298da-8dbb-42fb-b3b3-fe2bdb29f781 · outbound

This paper cites Retrieval-augmented generation for natural language processing: A survey.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Retrieval-augmented generation for natural language processing: A survey

Reference 57

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source=arxiv_source observed=2026-08-02T07:29:51.906224Z digest=sha256:b5735760115d5cdd3da22ca5da58a867b09e8eae5fbfbc2ad91e31c1edc0b561

Observation bbfbe839-fb2d-45a9-8524-86c92a7dc2b2 · outbound

This paper cites What ' s in the Box? An Analysis of Undesirable Content in the C ommon C rawl Corpus.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora What ' s in the Box? An Analysis of Undesirable Content in the C ommon C rawl Corpus

Reference 58

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source=arxiv_source observed=2026-08-02T07:29:52.042635Z digest=sha256:0efc5fd74a0f6661625980494009c7f67a5834585b6c76db4c545ab51675f42e

Observation 35db5ed3-c8e0-457f-b655-164c85bfc9bc · outbound

This paper cites GRUEN for Evaluating Linguistic Quality of Generated Text.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora GRUEN for Evaluating Linguistic Quality of Generated Text

Reference 59

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source=arxiv_source observed=2026-08-02T07:29:52.148202Z digest=sha256:e1d1587319fb0b847057454e0857e7b22e0cebba391f2b665d2f1f5bd030410b

Observation 706b5c71-ccc9-48fb-ada2-685fa255f28a · outbound

This paper cites Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

Reference 60

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source=arxiv_source observed=2026-08-02T07:29:52.212935Z digest=sha256:e4097583752a1c9f079e54247cc1e287d7805ae9c8b9c6ed407fb76042f45129

Observation f132a0ac-93f9-473c-b7c4-656528fcf223 · outbound

This paper cites PlanBench: An extensible benchmark for evaluating large language models on planning and reasoning about change.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora PlanBench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Reference 61

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source=arxiv_source observed=2026-08-02T07:29:52.303445Z digest=sha256:341cf67e217134ca9fc547d3b15fc3a977ffb626bffd9f0c142892b11867dddb

Observation 4c7c4612-99f0-4262-9757-5af5f0faf66b · outbound

This paper cites Copyright and Generative AI: Opinion of the European Copyright Society.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Copyright and Generative AI: Opinion of the European Copyright Society

Reference 62

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source=arxiv_source observed=2026-08-02T07:29:52.391181Z digest=sha256:e60565c2fe15001ed4e0fe8abc79026e6c8161ba17d608162f3b8fda1f5356c3

Observation 595df04d-05a2-4d7d-9d65-a86664a3d3ad · outbound

This paper cites Generative AI meets copyright.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Generative AI meets copyright

Reference 63

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source=arxiv_source observed=2026-08-02T07:29:52.492318Z digest=sha256:1d01abb60ebd01d48b4b9bf5a48997c53f1c4cdef8ae737be34355be52ccfd95

Observation a3225d92-a84d-45a4-b1ee-9ca14ac961f9 · outbound

This paper cites In search of balance: text data mining and copyright in the digital single market directive from a fundamental rights persperctive.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora In search of balance: text data mining and copyright in the digital single market directive from a fundamental rights persperctive

Reference 64

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source=arxiv_source observed=2026-08-02T07:29:52.606410Z digest=sha256:2ab44a894e60d87337a771d97fd8423f61c53790dba61402ffc5e36bca1045a5

Observation c187c479-1d3a-4f74-8a81-d97d8f96421e · outbound

This paper cites Copyright Traps for Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Copyright Traps for Large Language Models

Reference 65

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source=arxiv_source observed=2026-08-02T07:29:52.778636Z digest=sha256:36c22589873e8003b905f854f8b6b08b400425d6020aa71077fb81f750093db0

Observation e1fb8ff8-ec5d-4746-9de2-76bdfae6ef12 · outbound

This paper cites The Ai-Copyright Trap.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora The Ai-Copyright Trap

Reference 66

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source=arxiv_source observed=2026-08-02T07:29:52.869813Z digest=sha256:57616fdce40f3ccdde3e9b82a790a279e0a30d57ebdb6ea5e5cb6a2e69578b87

Observation b2686bc1-9b8f-4455-b50c-517fbbba46bb · outbound

This paper cites Consent and compensation: Resolving generative AI's copyright crisis essay.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Consent and compensation: Resolving generative AI's copyright crisis essay

Reference 67

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source=arxiv_source observed=2026-08-02T07:29:53.021511Z digest=sha256:dabf2478ee6e7423429be724c7b7f8ffffb6abf66b033f8c76898f985a865ff2

Observation 2e557cf5-e25c-4f02-bc52-9610b5304f72 · outbound

This paper cites We Need Smart Intellectual Property Laws for Artificial Intelligence.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora We Need Smart Intellectual Property Laws for Artificial Intelligence

Reference 68

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source=arxiv_source observed=2026-08-02T07:29:53.108096Z digest=sha256:32b6518b776b48c42bc2df8762a7557e26bdf2b2d2c15fe5c0f0bec9dd7a9d6f

Observation eedb569b-c0a1-4b4b-9aa0-149d823d21b2 · outbound

This paper cites The Data That Powers A.I.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora The Data That Powers A.I

Reference 69

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source=arxiv_source observed=2026-08-02T07:29:53.186605Z digest=sha256:6f50762612a0e4619cd3b44011d194c976bc732b2503dfa45b30b877fa830ee2

Observation ec92b3b5-ba11-491f-b733-9183f900a7ef · outbound

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

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Reference 70

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source=arxiv_source observed=2026-08-02T07:29:53.250306Z digest=sha256:e2ebf489d1911daa55af56aaae7df7de930dce61832025e6e04bd69d965f8285

Observation 274f070b-c675-4c5a-8e46-440ad68de9d0 · outbound

This paper cites A survey of fake news: Fundamental theories, detection methods, and opportunities.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A survey of fake news: Fundamental theories, detection methods, and opportunities

Reference 71

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source=arxiv_source observed=2026-08-02T07:29:53.344204Z digest=sha256:86ae4946949ecc91b53695df92c66b7db2d2391aa5a16ef5d44577211096518c

Observation 73b3cfdf-9324-4d3b-b825-5e03b5f104b2 · outbound

This paper cites On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Reference 72

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source=arxiv_source observed=2026-08-02T07:29:53.429489Z digest=sha256:573c9cbbb58c894fef9e6f0290a2ab38d56d7cf9d05d235745253ca31b4a0f75

Observation 916f9cbd-c7a8-4128-b207-92e3e13239c2 · outbound

This paper cites The work of copyright law in the age of generative AI.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora The work of copyright law in the age of generative AI

Reference 73

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source=arxiv_source observed=2026-08-02T07:29:53.535772Z digest=sha256:8981783de00bc7075d79bcdd5d1134db6cfc02b9ad759c600a4b7b9cfce05950

Observation 262addff-2a0f-4b78-88e6-d2cb0af93e25 · outbound

This paper cites Copyright Violations and Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Copyright Violations and Large Language Models

Reference 74

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source=arxiv_source observed=2026-08-02T07:29:53.641735Z digest=sha256:673cf304ef4a007b816d1ff5853a85aad4d1e555f2058033a8762244dba1f81f

Observation 9d61c8ca-03b9-4513-832f-17a664acd23e · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Detecting Pretraining Data from Large Language Models

Reference 76

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source=arxiv_source observed=2026-08-02T07:29:53.866628Z digest=sha256:d1f0cac7f36d662ec95aa54616e3f45f6580316d8ff8bd91c929652eb6010dbe

Observation 318c38ce-17f2-4116-9b74-d0a05bb7837a · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 77

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source=arxiv_source observed=2026-08-02T07:29:53.912311Z digest=sha256:00e847c3ed7a20b57cee4ec7924c5c3907cf74ef96531ad77cbac79198e01fb9

Observation 2b547fb7-c4c8-43a0-b536-c37b08396057 · outbound

This paper cites Generative AI and Author Remuneration.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Generative AI and Author Remuneration

Reference 78

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source=arxiv_source observed=2026-08-02T07:29:54.023365Z digest=sha256:56ba80a4d113b53ac7c73cb2d42f87ecf6ca5d4ed52985af56c556992f2252b2

Observation 2c8bf2d5-ffbb-4bad-b3d4-67a187b42f54 · outbound

This paper cites From text to talk: H arnessing conversational corpora for humane and diversity-aware language technology.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora From text to talk: H arnessing conversational corpora for humane and diversity-aware language technology

Reference 79

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source=arxiv_source observed=2026-08-02T07:29:54.111962Z digest=sha256:7b6ca413a4f56d0d71074825ddf20674c5a0dd89ab309f301055b72d6fdbbc28

Observation 13797949-20d2-4fe9-b388-a06dc1b7cdb0 · outbound

This paper cites Self-Rewarding Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Self-Rewarding Language Models

Reference 80

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source=arxiv_source observed=2026-08-02T07:29:54.181536Z digest=sha256:787aa8cfa0b1125fcc6b92ac4d803f94f0f6ce24c6ae113c85fcf08a1c41d2bb

Observation 527f22b2-4135-44c1-b979-2f44a2d72f7a · outbound

This paper cites Protecting User Data Through Privacy-Sensitive Robot Design.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Protecting User Data Through Privacy-Sensitive Robot Design

Reference 81

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source=arxiv_source observed=2026-08-02T07:29:54.267697Z digest=sha256:99f808ccfc1fd07e40668189db86995d7abf7525c905eaa049ab55b1ce274939

Observation 9191992f-46d1-4ace-9ef5-232f024bb18a · outbound

This paper cites Privacy concerns in the smart home context.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Privacy concerns in the smart home context

Reference 82

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source=arxiv_source observed=2026-08-02T07:29:54.410623Z digest=sha256:2fa29667c23b46bef98d4a1855be51881dbc2ff89a2480e53820767fe5ac58a9

Observation 9fad8079-50ea-4229-960d-0a6bf6a3f715 · outbound

This paper cites Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Evaluating current automatic de-identification methods with Veteran's health administration clinical documents

Reference 83

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source=arxiv_source observed=2026-08-02T07:29:54.528848Z digest=sha256:afb9262954eb22cb7b49f43414c19c02482823143ce4ec2f0725b46d69c4c20b

Observation 80f50fc9-8d6b-4408-b1b3-28730090b029 · outbound

This paper cites Personalised Reranking of Paper Recommendations Using Paper Content and User Behavior.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Personalised Reranking of Paper Recommendations Using Paper Content and User Behavior

Reference 84

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source=arxiv_source observed=2026-08-02T07:29:54.700328Z digest=sha256:e3f3d6c6d55b82f773f119bfb7117404f73d2e87a7d48aa60a210ab78090b381

Observation 63c3bcdc-8b45-4463-9c59-b618a735d8ad · outbound

This paper cites Data valuation in machine learning:``ingredients'', strategies, and open challenges.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Data valuation in machine learning:``ingredients'', strategies, and open challenges

Reference 85

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source=arxiv_source observed=2026-08-02T07:29:54.767557Z digest=sha256:8a8b43d4490e1b7e62e2f84991d575c4aeef129f3bfb6950eedcb25a5baecf5e

Observation 4d1f1836-cb74-4a21-8cf6-bc3f12161aee · outbound

This paper cites Publicly detectable watermarking for language models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Publicly detectable watermarking for language models

Reference 86

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source=arxiv_source observed=2026-08-02T07:29:54.855160Z digest=sha256:175ae5fc22b7cc685f5084591e34927062f3f54313766fd993ae19fd46854923

Observation eda521bd-a75b-48b7-b376-5dd2e4b3f795 · outbound

This paper cites SMET: Semantic Mapping of CVE to ATT&CK and Its Application to Cybersecurity.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora SMET: Semantic Mapping of CVE to ATT&CK and Its Application to Cybersecurity

Reference 87

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source=arxiv_source observed=2026-08-02T07:29:55.009143Z digest=sha256:97e2991e42a3a84f05d58ba1326081b867d28f8ae4d6869cbbd2bab061aed053

Observation 8de3ea6d-8174-4996-8ac5-e25086e948a5 · outbound

This paper cites A hybrid approach to dialogue management based on probabilistic rules.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A hybrid approach to dialogue management based on probabilistic rules

Reference 88

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source=arxiv_source observed=2026-08-02T07:29:55.120507Z digest=sha256:341a3de4e0d299e381c46abe300953ad23d739c7ddf7539b57b008b06c3f3f9c

Observation 1d038a91-7a28-497a-a812-a9812d2de99e · outbound

This paper cites Situated dialogue processing for human-robot interaction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Situated dialogue processing for human-robot interaction

Reference 89

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source=arxiv_source observed=2026-08-02T07:29:55.299546Z digest=sha256:97d6faf57091b9fa3f1aa473f36bfd40c01d478093b9019f3d9bfcc9178228a4

Observation 339777e6-2311-4bcb-9154-93b882771d70 · outbound

This paper cites Self-understanding and self-extension: A systems and representational approach.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Self-understanding and self-extension: A systems and representational approach

Reference 90

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source=arxiv_source observed=2026-08-02T07:29:55.378175Z digest=sha256:c275132016d46bffc76baefcc4a69c473f0e5e353fb28c11292a407446bd226c

Observation ea81ae36-b6c4-4622-bca7-04448269e9cb · outbound

This paper cites Spoken dialogue systems: the new frontier in human-computer interaction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Spoken dialogue systems: the new frontier in human-computer interaction

Reference 91

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source=arxiv_source observed=2026-08-02T07:29:55.449621Z digest=sha256:1030743bca7d76fb92fcdf68e7b9487ea5ab9713385a4efe97114e1dc8b48e0b

Observation 9fb8c6eb-0297-49ba-9101-7adefde8944e · outbound

This paper cites Automatic turn segmentation for Movie & TV subtitles.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Automatic turn segmentation for Movie & TV subtitles

Reference 92

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source=arxiv_source observed=2026-08-02T07:29:55.576661Z digest=sha256:1cace8e23d0f4a747c0cd23c1f735fb1fce28c9fb9968e7add2dc1626b083429

Observation 827a21ef-60ab-4896-80ff-5ac8e0423b84 · outbound

This paper cites PyOpenDial: A python-based domain-independent toolkit for developing spoken dialogue systems with probabilistic rules.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora PyOpenDial: A python-based domain-independent toolkit for developing spoken dialogue systems with probabilistic rules

Reference 93

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source=arxiv_source observed=2026-08-02T07:29:55.748405Z digest=sha256:b55bafc6348481832e11fb8f97b83ec194df0f2c260e9ca8ec6f0171a39a5582

Observation eef6514e-9424-4b8a-86bf-b4ba895538d3 · outbound

This paper cites A salience-driven approach to speech recognition for human-robot interaction.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora A salience-driven approach to speech recognition for human-robot interaction

Reference 94

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source=arxiv_source observed=2026-08-02T07:29:55.858074Z digest=sha256:d4f25c40f8f0feeccfb85f5dcec321fe3c520afd129e292eff7c187802fcadc4

Observation bb368d16-bfe7-4245-8f56-7f38329c3e98 · outbound

This paper cites Towards online planning for dialogue management with rich domain knowledge.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Towards online planning for dialogue management with rich domain knowledge

Reference 95

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source=arxiv_source observed=2026-08-02T07:29:55.916147Z digest=sha256:09ccc10b4122477c37d56f9668ecb2bbc97af12eab620e0704a94e60a6808a5b

Observation 7aea4570-f670-4b61-b77a-68152d042831 · outbound

This paper cites Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin

Reference 96

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source=arxiv_source observed=2026-08-02T07:29:55.980932Z digest=sha256:b88cd4db3a276d4f1d90752f6dac8bef917fee66af60c22eafb1892f1786b4e3

Observation 1acbe4a8-6bc2-402d-8ad3-d2bc8eb1ebea · outbound

This paper cites Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis

Reference 97

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no resolver link, observed 2026-08-02T07:29:56.119688Z

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source=arxiv_source observed=2026-08-02T07:29:56.119688Z digest=sha256:dc23c370a5225a6826813e638a0acb8f677ea4ff61eb2f50893f52c1f1a88a41

Observation 2786ed16-1230-4457-8e47-98a1f1cc9289 · outbound

This paper cites Identifying Token-Level Dialectal Features in Social Media.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Identifying Token-Level Dialectal Features in Social Media

Reference 98

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source=arxiv_source observed=2026-08-02T07:29:56.230001Z digest=sha256:0cb6e884cb88b32be6b4a84f71a3642bf0e3895db77f1a6528188bbdd0ddbbd0

Observation 6bb36b7e-580e-4bd5-a545-5faf9397ee66 · outbound

This paper cites Who's in charge? Roles and responsibilities of decision-making components in conversational robots.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Who's in charge? Roles and responsibilities of decision-making components in conversational robots

Reference 99

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source=arxiv_source observed=2026-08-02T07:29:56.371059Z digest=sha256:a59822e59d1f15e6a5b492106b2f9b8f3c504f32deaa08a2230cd224b92ffe65

Observation 8dd9afa0-04b8-43eb-afbc-a9eed6584eba · outbound

This paper cites PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models

Reference 100

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no resolver link, observed 2026-08-02T07:29:56.492934Z

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source=arxiv_source observed=2026-08-02T07:29:56.492934Z digest=sha256:a835f6fa03989cb9ce892144a551245c56d09051840ccbe640ce1d0b8f086171

Observation 4bb78c31-3a0b-41ca-85b3-7a113e5b71b0 · outbound

This paper cites Three Bricks to Consolidate Watermarks for Large Language Models.

FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora Three Bricks to Consolidate Watermarks for Large Language Models

Reference 101

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source=arxiv_source observed=2026-08-02T07:29:56.617980Z digest=sha256:91a3fc3244ff39416f5771f43d74588c208f99ef1e64f3083b2556dab8c1772f

Pith citing papers

No inbound Pith citation observations are available.