Paper Citation Record · LEDGER

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.10960.

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

pith.paper-citation-record.v1
2507.10960 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:24:58.979468Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy20
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccdee29d-9bc9-45f1-ba47-94708559869a · outbound

This paper cites Social interactions in hri: the robot view,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Social interactions in hri: the robot view,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:02.018257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25f8c481-cfe8-4b56-9652-5e145987e955 · outbound

This paper cites Home-assistant robot for an aging society,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Home-assistant robot for an aging society,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:01.897835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62b3723e-c34e-420a-845c-407c8fd539e2 · outbound

This paper cites Augmented reality and robotics: A survey and taxonomy for ar-enhanced human-robot interaction and robotic interfaces,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Augmented reality and robotics: A survey and taxonomy for ar-enhanced human-robot interaction and robotic interfaces,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:01.722115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37b87c9e-c4ae-45e9-8300-aa9877195d1b · outbound

This paper cites What drives you to interact?: The role of user motivation for a robot in the wild,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction What drives you to interact?: The role of user motivation for a robot in the wild,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:01.575214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3230e453-7677-4cab-a8c5-90cd2422a832 · outbound

This paper cites New comer in the bakery store: A long-term exploratory study toward design of useful service robot applications,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction New comer in the bakery store: A long-term exploratory study toward design of useful service robot applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:01.376138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ecac407-36e0-4885-944c-704ecfa191a7 · outbound

This paper cites Turn-taking in conversational systems and human- robot interaction: a review,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Turn-taking in conversational systems and human- robot interaction: a review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:01.156760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58252e53-f6ed-4929-bb0c-127287c6383e · outbound

This paper cites Who says what to whom: A survey of multi-party conversations.,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Who says what to whom: A survey of multi-party conversations.,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.957561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85ea7edf-5a7e-4079-acdf-e13741969c86 · outbound

This paper cites Multi-party interaction with a robot receptionist,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-party interaction with a robot receptionist,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.753920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a4e62e6-66cc-4153-8ce6-63c289d63142 · outbound

This paper cites Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:57.675157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4fd8572-0bec-4b48-9bb9-ca1dea2df04f · outbound

This paper cites an unresolved cited work.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:25:00.621532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d4ffaff-f303-4f6c-87b0-9d64e459eecf · outbound

This paper cites Multi-party multimodal conversations between pa- tients, their companions, and a social robot in a hospital memory clinic,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-party multimodal conversations between pa- tients, their companions, and a social robot in a hospital memory clinic,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.493767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 57053913-2a18-4481-aadd-9bc7dbbd6b85 · outbound

This paper cites Graph signal processing: Overview, challenges, and applications,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Graph signal processing: Overview, challenges, and applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.396715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ea87805-46dc-49ef-ab9c-24c1d86c2937 · outbound

This paper cites A neural-network- based approach to identifying speakers in novels.,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction A neural-network- based approach to identifying speakers in novels.,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.293032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60057c64-17c7-494d-84a9-8015a232e7e8 · outbound

This paper cites Language models are unsupervised multitask learners,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Language models are unsupervised multitask learners,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.147849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 825ab8f3-132f-4c3a-989c-6caa63691b73 · outbound

This paper cites Chatmdg: A discourse parsing graph fusion based approach for multi-party dialogue generation,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Chatmdg: A discourse parsing graph fusion based approach for multi-party dialogue generation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:25:00.003220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3521c025-901d-4917-ac8f-1c07f80a5eef · outbound

This paper cites Jrdb-social: A multifaceted robotic dataset for understanding of context and dynamics of human interactions within social groups,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Jrdb-social: A multifaceted robotic dataset for understanding of context and dynamics of human interactions within social groups,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.890984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ada467ed-b1f9-4323-8adf-8410e0d19f4b · outbound

This paper cites On the need for thoughtful data collection for multi- party dialogue: A survey of available corpora and collection methods,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction On the need for thoughtful data collection for multi- party dialogue: A survey of available corpora and collection methods,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.796243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee24b685-9536-482c-909c-a990fe2703b2 · outbound

This paper cites Interview: A large-scale open-source corpus of media dialog,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Interview: A large-scale open-source corpus of media dialog,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.695376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5570d5e3-2e4b-481e-b5f1-1705340f13e2 · outbound

This paper cites Automatically classifying user engagement for dynamic multi-party human–robot interaction,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Automatically classifying user engagement for dynamic multi-party human–robot interaction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.595578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce44bc9f-655a-4e87-bb03-604b7be43ac1 · outbound

This paper cites Multi-party chat: Conversational agents in group settings with humans and models,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-party chat: Conversational agents in group settings with humans and models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.490421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d2405bc-b099-4669-a5ee-1afaca279825 · outbound

This paper cites Multi-party interaction with a robot reception- ist,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-party interaction with a robot reception- ist,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.400551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation daed98c6-766e-457f-a399-ef6911149859 · outbound

This paper cites Multi-party multimodal conversations between patients, their companions, and a social robot in a hospital memory clinic,.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Multi-party multimodal conversations between patients, their companions, and a social robot in a hospital memory clinic,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:24:59.268557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d40c246-5771-4afa-80cf-ecf655e13cfb · outbound

This paper cites an unresolved cited work.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:24:59.126736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f95cab1-e444-4ba3-b563-c49f4618a8e4 · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:58.979468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.