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Paper Citation Record · LEDGER

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2607.13614.

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

pith.paper-citation-record.v1
2607.13614 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:41:38.468766Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:41:34.185724Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 780add73-c40d-4cf8-a0d6-4eda06d95ed3 · outbound

This paper cites Videoconferencing plat- forms have evolved from occasional alternatives into a primary medium for professional collaboration, education, and social in- teraction.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Videoconferencing plat- forms have evolved from occasional alternatives into a primary medium for professional collaboration, education, and social in- teraction

Reference 1

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source=pdf_text observed=2026-08-02T04:41:34.078204Z digest=sha256:beef2407b0828879a3639485fb1b2ee7f239ed38a411b00222ba4d6012388c38

Observation f914344b-39d9-43ea-8f6a-ac1aa6d430e5 · outbound

This paper cites VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement

Reference 2

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source=pdf_text observed=2026-08-02T04:41:34.185724Z digest=sha256:a9a1d0ad1efb3e536e36e5d0604181ed4ef07f41179ca8d054aa2b51d99a9148

Observation 43ea9ec8-e2c1-4a55-a29f-59f5f924048e · outbound

This paper cites Even within a representative subset of all derivable features, our exploratory results show substantial behavioral changes rather than mere scaling differ- ences.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Even within a representative subset of all derivable features, our exploratory results show substantial behavioral changes rather than mere scaling differ- ences

Reference 3

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Observation 593a2767-1d45-41ba-88c3-8d70af2c886c · outbound

This paper cites an unresolved cited work.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T04:41:34.444085Z digest=sha256:d36d9ec1a2e13276ea1911ef51a541c595b3c5e398dee44985c5cdfbc99c5eec

Observation a8c511b0-4da1-4833-9866-068a1c8e6c02 · outbound

This paper cites Specifically, videoconferencing elicits shorter, syntac- tically simpler speech with longer pauses.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Specifically, videoconferencing elicits shorter, syntac- tically simpler speech with longer pauses

Reference 5

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source=pdf_text observed=2026-08-02T04:41:34.631109Z digest=sha256:10eafb750ebe716fd5142196079553dca77efb425f328a6001c6ead6b77e5160

Observation c5185eee-ab3b-4a61-9be6-26e8e899ac67 · outbound

This paper cites The authors remain fully responsible for the accuracy and integrity of the final content.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement The authors remain fully responsible for the accuracy and integrity of the final content

Reference 6

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source=pdf_text observed=2026-08-02T04:41:34.759291Z digest=sha256:f702790268a7d4f3613394fee555b2004c7e9123e45792c05c7f2ec958de8349

Observation bdecf705-584a-4341-aed4-9b9dd769d287 · outbound

This paper cites are supported by NYU Discovery Research Fund for Human Health.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement are supported by NYU Discovery Research Fund for Human Health

Reference 7

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Observation eca77c67-4089-49e9-99db-9761e257ea27 · outbound

This paper cites The AMI meet- ing corpus,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement The AMI meet- ing corpus,

Reference 8

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Observation c6bcb25d-7602-4714-991e-1a3a7921a9ac · outbound

This paper cites The ICSI meet- ing corpus,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement The ICSI meet- ing corpus,

Reference 9

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Observation 385d86bf-98ea-47a5-b3a3-8b242ac30a02 · outbound

This paper cites Zoom exhaustion & fatigue scale,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Zoom exhaustion & fatigue scale,

Reference 10

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Observation 4ec9f27f-42ce-4e64-a2b9-1182d95df7e2 · outbound

This paper cites Zoom disrupts the rhythm of conversation.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Zoom disrupts the rhythm of conversation

Reference 11

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Observation c7eb7dd8-9511-4465-8dfa-dfb08208f49c · outbound

This paper cites Video-conferencing usage dynamics and nonverbal mech- anisms exacerbate Zoom Fatigue, particularly for women,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Video-conferencing usage dynamics and nonverbal mech- anisms exacerbate Zoom Fatigue, particularly for women,

Reference 12

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source=pdf_text observed=2026-08-02T04:41:35.861346Z digest=sha256:26f4ec9262a21d64be4b27049dd762a85e22e1dd2f4951a935a6ca9aff78c1da

Observation a9d106c1-690b-4342-90de-20f38c9f617e · outbound

This paper cites The CANDOR corpus: Insights from a large multimodal dataset of naturalistic conversation,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement The CANDOR corpus: Insights from a large multimodal dataset of naturalistic conversation,

Reference 13

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Observation 187ac82e-95bd-4474-94dd-5208e26fc130 · outbound

This paper cites RoomReader: A multimodal corpus of online multiparty conversational interactions,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement RoomReader: A multimodal corpus of online multiparty conversational interactions,

Reference 14

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Observation a8e982e1-3c28-46f8-87d2-35d73af9518d · outbound

This paper cites A corpus study on the difference of turn-taking in online audio, online video, and face-to-face conver- sation,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement A corpus study on the difference of turn-taking in online audio, online video, and face-to-face conver- sation,

Reference 15

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Observation ac2ab391-7a3c-46da-921f-d9fc2a08998b · outbound

This paper cites Virtual (zoom) interactions alter conversational behavior and in- terbrain coherence,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Virtual (zoom) interactions alter conversational behavior and in- terbrain coherence,

Reference 16

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Observation 44dc4636-8855-40af-850a-f9cbe139408d · outbound

This paper cites Multimodal machine learning can predict videoconference fluidity and enjoyment,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Multimodal machine learning can predict videoconference fluidity and enjoyment,

Reference 17

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Observation 0728c745-f634-44ea-b692-cb44817c7195 · outbound

This paper cites Multimodal fusion with semi-supervised learning minimizes annotation quantity for modeling videoconfer- ence conversation experience,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Multimodal fusion with semi-supervised learning minimizes annotation quantity for modeling videoconfer- ence conversation experience,

Reference 18

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Observation 1224f294-eb6f-48a5-903f-29c468b0fa50 · outbound

This paper cites Multimodal, multiparty modeling of collaborative problem solv- ing performance,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Multimodal, multiparty modeling of collaborative problem solv- ing performance,

Reference 19

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Observation 2f61de4a-e563-4e86-a08e-73877112752c · outbound

This paper cites Multimodal model- ing of collaborative problem-solving facets in triads,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Multimodal model- ing of collaborative problem-solving facets in triads,

Reference 20

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source=pdf_text observed=2026-08-02T04:41:36.956465Z digest=sha256:1f0eeae12a113be41f0298bccd7e8cb7a1c2c147d392156fb2b0595f16198b1a

Observation 8a386873-170c-44dd-981c-b3122eedf59b · outbound

This paper cites Turn-taking in human face-to-face interaction is multimodal: gaze direction and manual gestures aid the coordination of turn transitions,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Turn-taking in human face-to-face interaction is multimodal: gaze direction and manual gestures aid the coordination of turn transitions,

Reference 21

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Observation c042de67-df73-483d-94a2-33bbf063e301 · outbound

This paper cites A very brief measure of the big-five personality domains,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement A very brief measure of the big-five personality domains,

Reference 22

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Observation d854a262-3039-4fec-b4ff-74684c013b13 · outbound

This paper cites Development and validation of brief measures of positive and negative affect: the PANAS scales.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Development and validation of brief measures of positive and negative affect: the PANAS scales

Reference 23

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Observation 29466d99-d953-4de5-a286-ac5f422b36ac · outbound

This paper cites Modeling collaborative mul- timodal behavior in group dialogues: The MULTISIMO corpus,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Modeling collaborative mul- timodal behavior in group dialogues: The MULTISIMO corpus,

Reference 24

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source=pdf_text observed=2026-08-02T04:41:37.361651Z digest=sha256:f7626af807e4f5182afa579650c1cbcc6baf9837e3d75e420f333a4b314814a6

Observation caa3b7c5-313f-427b-995e-ed374a19763b · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,

Reference 25

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Observation 0d213af9-c480-4cea-abf7-88131d52afe8 · outbound

This paper cites Powerset multi-class cross entropy loss for neural speaker diarization,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Powerset multi-class cross entropy loss for neural speaker diarization,

Reference 26

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source=pdf_text observed=2026-08-02T04:41:37.585272Z digest=sha256:2edb038ce86a83835409ea7859ee94222719bea57949b81059d9f02f5b7b57f4

Observation 2ea3f173-ca36-4b26-87d7-e62ee5d462f9 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Robust Speech Recognition via Large-Scale Weak Supervision

Reference 27

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Observation 6cb06409-089e-429e-9532-ba81cd3818b5 · outbound

This paper cites Open- face 2.0: Facial behavior analysis toolkit,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Open- face 2.0: Facial behavior analysis toolkit,

Reference 28

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Observation 829d4833-22f6-4b67-9729-f936ebea64d5 · outbound

This paper cites Boosted lightface: A hybrid dnn and gbm model for boosted facial recognition,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Boosted lightface: A hybrid dnn and gbm model for boosted facial recognition,

Reference 29

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Observation 01534b05-c3c8-4f7f-9d24-1b860d0373db · outbound

This paper cites Pauses, gaps and overlaps in conver- sations,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Pauses, gaps and overlaps in conver- sations,

Reference 30

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Observation ec819c66-3fac-4c9b-8b7b-d68b6e410ee5 · outbound

This paper cites Textdescriptives: A python package for calculating a large variety of metrics from text,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Textdescriptives: A python package for calculating a large variety of metrics from text,

Reference 31

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source=pdf_text observed=2026-08-02T04:41:38.078297Z digest=sha256:22ace499b84c5c80551c6abdf8bc8a2f7fef4c3c1f98e3d870250fc7581bf329

Observation ffba07a6-157c-4761-a24a-6a82db433661 · outbound

This paper cites LexicalRichness: A small module to compute textual lexical richness,.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement LexicalRichness: A small module to compute textual lexical richness,

Reference 33

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Observation f3b2503c-67e0-4a61-9b11-28087f9bdf72 · outbound

This paper cites minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models

Reference 34

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Observation 6762c957-4bdd-46bb-be46-93b1c7df551f · outbound

This paper cites Nonverbal overload: A theoretical argument for the causes of Zoom fatigue.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Nonverbal overload: A theoretical argument for the causes of Zoom fatigue

Reference 35

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Observation 45b2f3e8-68de-4433-be70-bda4513031de · outbound

This paper cites Available: https://doi.org/10.21105/joss.05153.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement Available: https://doi.org/10.21105/joss.05153

Reference 2023

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verified exact
doi, observed 2026-08-02T04:43:26.995006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-02T04:41:38.193065Z digest=sha256:66b88cdbf64b4f6bb887e3ba534c1b065840c48ef41c4a3acdcbd4b38c6d8598

Pith citing papers

Observation f914344b-39d9-43ea-8f6a-ac1aa6d430e5 · inbound

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement cites this paper.

VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T04:41:34.185724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:41:34.185724Z digest=sha256:a9a1d0ad1efb3e536e36e5d0604181ed4ef07f41179ca8d054aa2b51d99a9148