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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:053d06ce68cdad6a30f3b3eac374cd94bf3b169b585428408c348714fee97198

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=sha256:87df19b38d49a6f6f6414d36cbd96fe0f398bd5a0494bc58ce49975902b654f7

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=sha256:9010b3e1da5a407014bfc4ecfc110e5be45625086dd96e483cdf0f2421ff16f2

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:ed41de555d43f1a3562ab8ad29c98a95a401fe977119b76371fa5502dd33306b

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=sha256:74d596785420d12bd44a7c19a3cf854f6322384d979e74849854713d225b2db0

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=sha256:4d300eeaea8a0212eae223216bf6427dc61106136e51d84cb8c58f4a2e15a842

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=sha256:2bbc4c58087d3b5aa74a09d2e7110729b205254691251c6f112cfda65304ecfd

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=sha256:92f37416d52194578553d34f4580a0fd488773a3348c6e02d63e0f8a79dc3656

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:e23a914de2ab6be1298efd6aa559a76e4f24567fb921b8339b32b47c99e1b2b0

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:f6a66367bad9e661784fcd175edbabd261119c367bc5126a832c12412e48c870

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=sha256:71c023fc055900acd04aff025348ffdcf1b797b6126bc18a04756ed05cf72564

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=sha256:205f988a7993f54e86b67ccdab675a1603a400a812ca0182685afd153f9ff2e4

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:bba9eafb4a0bba8d978d05e251117814ef91c3c693379312187ee9c53ab1d45b

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:f23efaf3ac8aa3f37771172aa0f1aca655a16b8a517a6fa4e79c715ee2263051

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:faf49364ca900dd940b4e9e80ed6bffedcd4af4b01118b383d614965ef330f71

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=sha256:3f13097e0edd0afba65aafc970df3acf36bffddbcbc6f60d84dc0d5d5b3e1b0d

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:ab846cf547ae7cf2ed9e070ac13ddcbaa5b9a6e0577c3d3e8546e714c16d8451

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=sha256:0109bdb6ea4ce424e57827ba9d34f4c3cc2a13c6ffe8fa3035a71a19c36e44a2

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:f0142065a7ca9efda48084a72e496b866cf37dc06bb845121dae2814cb325600

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:fda8559005af4999ed5bcff530ab6cdee6094b7d673c41a25b0e11c0d4bc9afe

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:c34b46384a7a8b474cbd3ff55ba26c213933c1ec1deb1c3bf7e32a1907c67a13

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=sha256:42cf19d164d54b5369e335bc3b7fbfa554c189f16ddcb77dc509d908026ebc96

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=sha256:032b835599627829069947ed4b0fcac98f3448843202f59afa38d4b34a26bb01

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:f0b4c4823a2b6c08d102e825695f9e791805b252a16aa3db37e0a47f8988ff49

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:e9a75508294c243936d9997cecebec1a7dba8652c6dee8ef9808587ccb1b4b29

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:d01e0fbdad6cdfab4ae65be02b26ffe8990ffcd1f0894a39feae59234f59a8d2

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=sha256:25b27021eade6260c96d982f457db9f65555535655ad93b2a4a5d8b9b01c76f4

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=sha256:2d00fa787b128ec51ed9f99efe66ad66bccc168b601f5f0ad1f796ecbb38febb

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=sha256:15a40d2decd47bbe9536f6f441e0dab1883411abd25583fa12aad496cc92aa38

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=sha256:9ed217e20e9de76db7912e07c11ea89ada16920e4d06fdaf737d3f4a029d46aa

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=sha256:03bc095d09abb46dbd3ee69e2ebb82bf4275922ab5f1ac932d11de1d4bdcfc94

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=sha256:2b6c17a96fed9f5e9b0d86c9d3e018e64744f613b0eb86c85e5ffe12ff32ed7d

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=sha256:025ff45e4bd29b1d61f5ea6f7eec38474a81b7abee458155bfceb68f75fd157d

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=sha256:5da3fcdc7b16ab126bd751cf34371c9d48f1d15ef1adfa18fcd08ec426dad815

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=sha256:1fad94105e2d3c221284a4025b6b126733ec85b3b7ec8de81a3e98522a6154cd

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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source=arxiv_source observed=2026-08-02T07:29:49.585102Z digest=sha256:75d361d2d11606a5e8f71742ee6323e047e189da58fe4e89f9a5ae686db29a1d

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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source=arxiv_source observed=2026-08-02T07:29:49.736939Z digest=sha256:a64b34045a5f3626f6b62e39f56efc4b06fb356d485412b6ccbc618fbbeb284d

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

Reference 38

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source=arxiv_source observed=2026-08-02T07:29:49.856879Z digest=sha256:f8cc92e05a17a35617fda459ad013eb893a961bc0a6e997cc5c5466e943ae1a4

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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source=arxiv_source observed=2026-08-02T07:29:49.899471Z digest=sha256:4826f5f4048c3b99492f60762f0aa1a5b1c2f17b57adb221b8f9ffde2cfc4680

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=sha256:2e8fdfbbe2b9cc51a8f5ce86f6796d2b023bd216c8efad08dca372417653f2f9

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:c636b5a4276f8d029b26316bb87c0b50f87869583d5b913128be54c1ff4ddd80

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:c2b95f5ac928c3e658b6856197722d0c2e05a6c826046badaa6fa8fdd59eab33

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=sha256:3ec79a621135aaf4247d473e30e6cabf214b49924f967cb7e40fb4cf8cfcbe4b

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:e09e62f850e02f8ed1d8e1bf9b38d52b91ea31729bac39ac0e6e8516075e28ab

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=sha256:2340595f53ea03ad7e45a6e4f0364705d3037552ce6023de363270d608cd1f9b

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=sha256:3327ea2d4f422d385e3b9b0c621f2a3dceb52a61c10da909c8ba84f2befc9315

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:fdcddcf2d7dbafa8900151700c3229c510ab54f2a6ddc4212d9d571587468e15

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=sha256:05dca7570bd8603f4b8a6881111633f48e2d704d1ec42fa85882fef69dc62409

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=sha256:7ad40f3040d29b79ff55b163080193b964081a957f28877ee1f33001531aab95

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=sha256:2e2816b8bb33731fdd426ffce2fe212b7aaf534d7735c0f9cdf967b07941c674

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=sha256:1d1d94a8ef3d7c24df48d3937ec0b4faa24c9d2eb6e8890227140fa8d5c5a7cb

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:f22d2896e01443b324bf9a87fd733679021ff7aafd158267caf5f6ad485f1405

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:f228a9ed1c6940795ab364a73895b54a333fd349c168e4cc49146f51c3528f40

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=sha256:11d5e28a15db6853c9a6e7ca9f0f46cd98362129e1b92de855baad9936baf4a8

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=sha256:73854f7a6fdd02503885f71e59dacd300546782af3a0b618f15db73194573be0

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=sha256:90ea401cc30f07b5ba05d072ef5a44144d5af2aeb41239692c1a0f2ff94e8c83

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=sha256:249f36b26f38d5f20e00c24123ed573873951444ca30e55951af458350848900

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:c9466154249a97b5ae37301465405e4b83e11d66c76ae237a6985c13b14d2ed9

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:cf42a6ff14ea63cd7b7b6d9ac00d1c5e380247c8a46d3f29fede90045227a782

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=sha256:429620202835f2b5b659f905efeaabe35266acdded1c1301b5bcbdf1bbc27e88

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:f9a2a4ae3a2e94872ae8cfd1ffa045385fd837420c4251891f228fb6240ffeb3

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=sha256:65fbc8b615ab3502e6872aa806189aec9b58cdcb277fc6f2af4832690e7c895d

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=sha256:3d8610b51e77585f1cecd61dfd2b116a8b60e7b65fda5a5b76d730966bac973b

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=sha256:555e6e6b4a620f768d9ee9058907bc17ac4b88ba1166f260c4608f9f8b13f678

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=sha256:0b5ba4b963171e51d55e4e02a8446e8f877b8d79bafee65b8e5f88ecead08774

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:efcca3d8032139c93cf7dcf5133a193a3006a91f4be819c3e420fef786c151f2

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:cafc350956dac59c26ad4b30ac54f42fd75730e02fa8c48f6ac164f75e79cd8b

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=sha256:320073982d67519c1f3cbb34d21818e31cf6ba3c38b39f6657e3cd5124cd8139

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=sha256:9674d083e936c411c18b7871bdca93bca6269954c2ad59cb8e63d74241f43673

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:f501e589c222d42731d49e166d039faa9f08e86de688928dc111dba4f81c9b71

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=sha256:1e6d05dfea4d11a11fa5a54936b8d2e69ab021cdec035b9138e496cbfb435d71

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=sha256:664d0aa60657a6c09cd210f46faa6c9ebadc9333f50a10530b1a142c8e707e06

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=sha256:585b8806f8549145729ab2f783dd9d06b10dc1cbe7ed07d451748ad7be2ac7df

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:c43520d53d2bfd4e82665c3c98ec577896331f4eb2e9be03b4c4d3b3867c17d1

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=sha256:91577e831f9c9057cd608eefdfe536f3f0c010943dcce58735ee2c89248d6323

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:da7823a63bf47ccdd5a0332f30d25b7516c1f81255d909bec62cff663a4241a9

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=sha256:491cce620121d290228f08e30a949de5d5b859ad08dc6519ffd55ba2a12eafcf

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:ed216fd35525c42c1574185c74d55ae663157d34b586de656e8b7ffb88b833f2

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=sha256:8315f9fd31a4837ce1bcbb2092ff23f35087651a9ea2aacf172fe9836ab19ffb

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=sha256:84b58c1aba2e18ac6898ab6a029a2f777a3a36df6c440a6ee6a32bfc4b7c7af0

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=sha256:36193e8261f3f1fffb243c2605cd6cff37419b2afd18aaa8ea041022237c1a93

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:f5757495c382f46b008e2a5c877d5ca3bf3075bc10ec9ec1be096058be3a41aa

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:af9f3149928b6461b9d1dce22a4881b0d86908cab44e2c66224b6e43b74a0d77

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=sha256:1b600b4d5bcb3d2765a824610c62e8643727e700040d641444d56df1770e6efa

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:a95849d399a3422815de58667261713141663aaa7bfdb0c6f4e6c6e2ce88fc67

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:ffdb76aeb965476965f015e87f8920c84a8f8da491416b63d8d2b0f0fc1701d4

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=sha256:6eb856f207d69f88ff3ee3448e9ffc284400ae06c91490c5cf6acef4667b09c9

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=sha256:1d5e0ec7d9a72d65ce55e9362a7dd11ffcef5295de211b7b7ab9dae6694276aa

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=sha256:4d95d35defbe7d5e84587d5684ceb3eaf115e6cb278c13a581cad6e8c0ec31ff

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:eb15858f0b2d096ad6605a06ea122980572edd3d0be1bc4e096ad03668de5f45

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=sha256:45696a016cd3a7a70fdbf4bd3767286373568d1aefc01782b988002329e37e92

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=sha256:975d4dcc68abbb6df4808e8c6cd37218d6b7ba5e8de75a8144782388a0466a86

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=sha256:0d593b573107bcf0c3c583b7b0c9105ad1c4136e7f9019efbb086f26862682ea

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=sha256:0f8529be11c85dd131bcb8575e622c4ac93d8c5d3d60b0329ed7fb46951bebc3

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:e66274ff399084c9900b3e2c66223524a89679ce1a4abb10ab50c8de252901b9

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=sha256:56330bd7d38e11fb9aa966d1daaedf25db76ca63ffbe2b42258b33c756d0f4de

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=sha256:662a158e444a60a5ef705cc0d16de59d2961438653e2c46f62a18974790b7945

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:feae8c43d1f9f2cc7ca5e14e1fddb56f7d89556b14ec6651c4120f2c092011c3

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:ef2797f03c3db03292f1179a9203704ea35187a19f991ae4dbfa86acc46e2050

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:a6ae749d12807135eae0bcaf336cdd416fc4aeebf9b474a4ccba81c1a391fc76

Pith citing papers

No inbound Pith citation observations are available.