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Paper Citation Record · LEDGER

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.01618.

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

pith.paper-citation-record.v1
1908.01618 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:11:47.733408Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved13
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 789fceb6-9db1-45fc-9f0a-9bcc1ec402cd · outbound

This paper cites Fostering user engagement in face-to-face human-agent interactions: a survey,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Fostering user engagement in face-to-face human-agent interactions: a survey,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dd5af538-1999-489e-943b-9746787a5c73 · outbound

This paper cites Analysis of engagement and user experience with a laughter responsive social robot,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Analysis of engagement and user experience with a laughter responsive social robot,

Reference 2

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raw_fallback, observed 2026-08-14T15:11:48.140938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.590618Z digest=sha256:4bf96a32852c7f3c7b561fdc8948bf77adbd43ef84002af3d2abcec7156a7082

Observation fa867274-5d74-45a1-8ae5-c741f956d39c · outbound

This paper cites Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent,

Reference 3

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Observation 369e736a-1093-4e13-b1fe-f462783705e2 · outbound

This paper cites Generating robot/agent backchannels during a storytelling experiment,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Generating robot/agent backchannels during a storytelling experiment,

Reference 4

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raw_fallback, observed 2026-08-14T15:11:48.114439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.600034Z digest=sha256:43bc501773e3b17c512ea744d268a9bcf90611d3e04ffc6eeebab34727cf884d

Observation 4acfb176-fbe6-4bf0-83fe-26ac6093cd67 · outbound

This paper cites Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction,

Reference 5

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source=pdf_text observed=2026-08-14T15:11:47.606027Z digest=sha256:897ce3e47e624ae7708ada2c72369f7d55f5b0f7b3aa56e2e18b049342555a2a

Observation b7e3bf0f-4c51-48cf-98b5-9524effff7df · outbound

This paper cites Data-driven model of nonverbal behavior for socially assistive human-robot interactions,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Data-driven model of nonverbal behavior for socially assistive human-robot interactions,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.612130Z digest=sha256:502d781efc33708388af38d62071171d453ff6dbc7f8b73754d27dbcc03d250c

Observation cc453ec9-6b9e-4f4d-ad69-5dd63fe4e760 · outbound

This paper cites Robot gains social intelligence through multimodal deep reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Robot gains social intelligence through multimodal deep reinforcement learning,

Reference 7

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source=pdf_text observed=2026-08-14T15:11:47.617656Z digest=sha256:12b28292d63cce6eaa578fa39b7f114a311fbe0093e5ed7dff7f5a7f08a0e6d4

Observation 5f7c94c0-dec4-4d3d-a33e-7c9ceb2f64b6 · outbound

This paper cites Show, attend and interact: Perceivable human-robot social interaction through neural attention q-network,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Show, attend and interact: Perceivable human-robot social interaction through neural attention q-network,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.622481Z digest=sha256:2a1e8d9c32756d3ac1a9b086000a28831795a12fd4fc84b6af110ced31126f80

Observation 623a27d4-93d8-44af-9a94-12f645b7f116 · outbound

This paper cites Robot behavior adaptation for human-robot interaction based on policy gradient reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Robot behavior adaptation for human-robot interaction based on policy gradient reinforcement learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.627995Z digest=sha256:bc41a73b929a35b48486a9793f8c6c7607fbba53d8ac735cd2f87e3813740564

Observation 63dc56d8-6787-446d-942a-b54b623fda38 · outbound

This paper cites Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.632923Z digest=sha256:acc3caf0a93da4ca8da9edbebac2ae0c4c53e45d55abffa8901b11b75ef16d12

Observation 08a1ad45-4819-4437-a1bd-fc5d13734fee · outbound

This paper cites Definitions of engagement in human-agent interaction,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Definitions of engagement in human-agent interaction,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.637674Z digest=sha256:161b12e19e5f3c37803e74ef6b7f62ae71a3e0e05c0b8f678ef174d1aa2f833a

Observation aa04f58f-8e67-4256-8122-cc4cc8eefc2a · outbound

This paper cites Poggi, Mind, hands, face and body: a goal and belief view of multimodal communication.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Poggi, Mind, hands, face and body: a goal and belief view of multimodal communication

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.642578Z digest=sha256:4b9f8195d0ed41220b0b8884a02d8bf859f1855e139cab14d3ad386380a53856

Observation f7e4b4aa-0f1a-415d-9c1f-b666f1a4731a · outbound

This paper cites Recognizing engagement in human-robot interaction,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Recognizing engagement in human-robot interaction,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.647458Z digest=sha256:c8c87eda07591c024ccf3a1fd498ec912a8a2b137e4e276c93065c8710da41d0

Observation cbb3a4a8-46cb-435f-81c7-700203ad0cae · outbound

This paper cites Batch reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Batch reinforcement learning,

Reference 14

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source=pdf_text observed=2026-08-14T15:11:47.653157Z digest=sha256:5ae41c2301c3bc5ebabe61cfaf4951485ef0f4cd1279ef4fcb706224e499005d

Observation 9592930f-8217-4bd3-a5c3-5c8c4f7ef8fa · outbound

This paper cites Tree-based batch mode reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Tree-based batch mode reinforcement learning,

Reference 15

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source=pdf_text observed=2026-08-14T15:11:47.658851Z digest=sha256:b7e14f75a2fe2893923af20ac8848abae7619dd8b506d2d900b30ac043918d4f

Observation 54eea6c8-043a-4cfa-8f60-00be32adaa27 · outbound

This paper cites Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method,

Reference 16

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ef55b10c-ddcf-48c7-8a9a-e6e2bd14d571 · outbound

This paper cites an unresolved cited work.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Unresolved cited work

Reference 17

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Observation f435e122-84d4-442b-87b9-12d400781a45 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Human-level control through deep reinforcement learning,

Reference 18

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source=pdf_text observed=2026-08-14T15:11:47.677273Z digest=sha256:ba7cee94c674ace1b73ace1855e895039bc503bf8fa6a4d89179ec41a630de17

Observation cbd34a40-3622-4a7f-bc1b-cdb0bcba2ddf · outbound

This paper cites Deep q-learning from demonstrations,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Deep q-learning from demonstrations,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.682417Z digest=sha256:ebb78a3e6beb6b4266cf31d9930569a934a397f121d49b051941ccc3f2cb967a

Observation 31860079-02f9-4923-8ecf-64c102d6cc26 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Iemocap: Interactive emotional dyadic motion capture database,

Reference 20

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Observation 47a1fa20-c38f-4a39-881e-1a014ed6336b · outbound

This paper cites Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.692377Z digest=sha256:0ea0f649fa7ce5ff963080d69908cfb5ec8e5ebe3466b72b4bde2f06703ebb6f

Observation 05833216-2052-4833-83d3-b127d2267294 · outbound

This paper cites Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information,

Reference 22

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source=pdf_text observed=2026-08-14T15:11:47.697865Z digest=sha256:3aff4c058da3e36715e10e27200633827fcbb0dd5c5699d14d47b07361c278b7

Observation e025b61b-a6d9-4711-a484-d509b6ada421 · outbound

This paper cites Selecting concise training sets from clean data,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Selecting concise training sets from clean data,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.702814Z digest=sha256:cd49ebbe7c6156fccc188eda79cc0477b1ea459b17f1d9315b253eb5df7f3d3a

Observation 075c0c5f-f5e4-461e-8174-221d66c38866 · outbound

This paper cites Residual algorithms: Reinforcement learning with function approximation,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Residual algorithms: Reinforcement learning with function approximation,

Reference 24

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source=pdf_text observed=2026-08-14T15:11:47.708579Z digest=sha256:237577943f542031e07c471039126632c955f5a2663aedb4721002e8dd477e9d

Observation 3e164ff4-eaa0-4303-9630-a674098cd6c8 · outbound

This paper cites Data-efficient off-policy policy evaluation for reinforcement learning,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Data-efficient off-policy policy evaluation for reinforcement learning,

Reference 25

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raw_fallback, observed 2026-08-14T15:11:47.816242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:11:47.713812Z digest=sha256:b7a768c95d28f017a3ba274a0ca0b690bcc9298122a5c32306a9a14c6ad35df6

Observation 737d436e-151c-4f95-9d59-1d046b9ab583 · outbound

This paper cites Importance sampling for fair policy selection.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Importance sampling for fair policy selection

Reference 26

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source=pdf_text observed=2026-08-14T15:11:47.718251Z digest=sha256:f0abcd755911073865257675bf802f2c976c62e98f6b7c124be5fedee3e9f606

Observation 6a57a707-d1d4-4917-a1df-fefbf70dc5e3 · outbound

This paper cites Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters

Reference 27

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source=pdf_text observed=2026-08-14T15:11:47.725252Z digest=sha256:6bd22608f52a031b1d84edb515311d5fd6f16f6955b129055ee957d77e844484

Observation 5cfe4560-e6cb-4546-b5cc-016cc4fa6e2c · outbound

This paper cites Fast nearest neighbor search through sparse random projections and voting,.

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Fast nearest neighbor search through sparse random projections and voting,

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.733408Z digest=sha256:a0dd3efd12db74825df7ce68bc5bda564b7de6e9a125054cf503380333dfadba

Pith citing papers

No inbound Pith citation observations are available.