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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 2026-08-16T06:30:59.297886+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
  • parse uncertain0
  • 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.590618Z digest=sha256:3b1dfa53ba792393438661edb1ea048af6d8b5abe2d8d810d5229a8ba69770ee

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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source=pdf_text observed=2026-08-14T15:11:47.595336Z digest=sha256:f231f0b412a3c54f2d2ae821b9bce9b7879ad75bfcd0e33d006d33fe496fcac4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.600034Z digest=sha256:766cec4fe0269e54f2c7ade85e9ed3d542302b3f86e46d2b1ed7579571b328a2

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:faee983eba94f8fe529abfb52439815ce20c69218dd77414bbf7efea1a6e3da4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.612130Z digest=sha256:99040db6102b2113d85a65ab3fc76f9535423d52ef50f9fe04eec826ec0d46e6

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.617656Z digest=sha256:d45e0d9550e93173bb1f0f1da4d116c55568d2c636bbb9f6e80fdcc8df465260

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.622481Z digest=sha256:e058bc5a92ec98210f78f9fb4d794f57a9b21c4d5ff23210c7b5d19a0290d182

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.627995Z digest=sha256:09f5ad5b3391058139814e45c3b9c82820ed2fe91c05852e006328483d72e055

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.632923Z digest=sha256:7d49a553e5fcdd3d86f130d604c259ea314a015152b6324c7a08372191fb09a9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.637674Z digest=sha256:8ba7af236d98b9fffc106abd57f0ed290fc7faac929db527e3062f65b7398480

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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raw_fallback, observed 2026-08-14T15:11:47.990345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.642578Z digest=sha256:62c43be61be4a80f88c16478efda3595d2b604759496411381d631d16c33dda7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.647458Z digest=sha256:281d72af7dcd7080ae72e8b104e64916e85086e2a879bb27243439cd5188486e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.653157Z digest=sha256:060424c33e41b1ab55ed4189aae9d8d5fcad0b76d7b8f2766272ddc90606b077

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:be60feaeab2252aaed874a267507b83222e4846ba3cf4327908617a949467b75

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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=sha256:77774157ab443df06a1884af4aaffeb1fe497003523009b706f137f396bc60e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.682417Z digest=sha256:9760fdd1e53a23a90a9cc4900d8587f36d694c76b3eedf30038ae532c93edce4

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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source=pdf_text observed=2026-08-14T15:11:47.687456Z digest=sha256:03ee6a4388fc5b52c8219dc1a59370c7f0c7e4ce7fa28430cb15926058375455

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.692377Z digest=sha256:f06e090d6bd1c8b6d1550726a63e39e76bd98370a5729b78e9def0ca5b16c746

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=sha256:862284e48aadb33e62c813f9c6390132020347bd7016783d03ae52f989359a02

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.702814Z digest=sha256:53bf8fb5b6fe9849fa5e9fd25072d4c811164f093c365260bc10afa36ae50262

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:acb096c846d5c53d266320a61f6e5bebb73593c7e2ebfe0d35542dd4f872079c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:11:47.713812Z digest=sha256:ce3184e7845318f35317b5b13262b4a90b4d12125022a8846efd1a8ccccf53d1

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.718251Z digest=sha256:2a9dac7c7188a2bde3f55115ebfd0dc865e9d46c07604d48af293ab069c98609

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.725252Z digest=sha256:b8e570651f1eacf0525e11366b8f63e6c2623309e201f34261104b57a24432b5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:11:47.733408Z digest=sha256:72f60fe3b0c9e223774bf97f932c94e7ed2c67a0adae811eff30f6d3d9b0388c

Pith citing papers

No inbound Pith citation observations are available.