Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:01:13.326513Z
Paper Citation Record · LEDGER
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents
As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.02037.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy24
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 629403b6-76df-4f7d-82a7-cf4897cc09e6 · outbound
This paper cites Analysis of engagement and user experience with a laughter responsive social robot,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Analysis of engagement and user experience with a laughter responsive social robot,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.649775Z
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.
Observation 3ce93b11-335d-4c5c-9b07-1d903bbf9ab9 · outbound
This paper cites Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.639467Z
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.
Observation 80c1b059-43fe-4ee6-bf3b-6ab3b41d0e0b · outbound
This paper cites Definitions of engagement in human-agent interaction,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Definitions of engagement in human-agent interaction,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.628728Z
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.
Observation 07f7e90a-c53e-42e2-b6c8-ee3c09890f3b · outbound
This paper cites Poggi, Mind, hands, face and body: a goal and belief view of multimodal communication.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Poggi, Mind, hands, face and body: a goal and belief view of multimodal communication
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.617460Z
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.
Observation d3a8c68c-8d5f-455a-8354-b2e4cff02d2c · outbound
This paper cites Deep Recurrent Q-Learning for Partially Observable MDPs.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Deep Recurrent Q-Learning for Partially Observable MDPs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:01:13.247809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5993df38-fdf6-44cc-a986-c3924466429d · outbound
This paper cites Q-learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Q-learning,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:01:13.252437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c31758a-b30b-478f-a5d6-567ced8cbe49 · outbound
This paper cites an unresolved cited work.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T15:01:13.597908Z
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.
Observation bf384db1-edf5-4cbc-8c1e-ae98e33c4514 · outbound
This paper cites Batch reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Batch reinforcement learning,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.585589Z
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.
Observation f80e8beb-e119-4367-9055-f3fd8c91eb6c · outbound
This paper cites Human-level control through deep reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Human-level control through deep reinforcement learning,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.575254Z
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.
Observation 6f5097f4-c362-4048-a6a4-ad15478bffe2 · outbound
This paper cites Tree-based batch mode reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Tree-based batch mode reinforcement learning,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.565622Z
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.
Observation 9b8b33a3-1e81-4c45-a9e1-7196c4962d28 · outbound
This paper cites Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.556078Z
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.
Observation fa02c569-5869-4cea-8130-7d7f72236022 · outbound
This paper cites Robot gains social intelligence through multimodal deep reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Robot gains social intelligence through multimodal deep reinforcement learning,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.545485Z
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.
Observation faec84c1-2a04-4d99-9c57-2fdd13786940 · outbound
This paper cites Show, attend and interact: Perceivable human-robot social interaction through neural attention q-network,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Show, attend and interact: Perceivable human-robot social interaction through neural attention q-network,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.534280Z
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.
Observation bc81b9ae-a074-4e07-bfda-05b06cec44c8 · outbound
This paper cites Robot behavior adaptation for human-robot interaction based on policy gradient reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Robot behavior adaptation for human-robot interaction based on policy gradient reinforcement learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.522166Z
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.
Observation 88a6ad9a-7a26-474e-966e-7ec1485ad237 · outbound
This paper cites Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.511710Z
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.
Observation 5cbe9ba9-996a-4aa6-b412-70622d0f7f80 · outbound
This paper cites Fostering user engagement in face-to-face human-agent interactions: a survey,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Fostering user engagement in face-to-face human-agent interactions: a survey,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.500866Z
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.
Observation 3deb7a1a-5320-45fe-b89b-eab1eb94c3c5 · outbound
This paper cites Generating robot/agent backchannels during a storytelling experiment,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Generating robot/agent backchannels during a storytelling experiment,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.490371Z
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.
Observation dbafc922-4f9e-4eb4-a58b-b8f1ca36aad0 · outbound
This paper cites Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.479265Z
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.
Observation c668c4a4-8576-4ddd-90ed-65091435f368 · outbound
This paper cites Data-driven model of nonverbal behavior for socially assistive human-robot interactions,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Data-driven model of nonverbal behavior for socially assistive human-robot interactions,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.467865Z
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.
Observation e61ccbdd-083a-45b5-89ae-bcaf0346f9e3 · outbound
This paper cites Recognizing engagement in human-robot interaction,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Recognizing engagement in human-robot interaction,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.457095Z
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.
Observation 6f683ea6-d8fe-4ed3-b46a-63be7618cdf0 · outbound
This paper cites Iemocap: Interactive emotional dyadic motion capture database,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Iemocap: Interactive emotional dyadic motion capture database,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.446602Z
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.
Observation ff52c2a4-0903-4b1f-a809-95c4989b5a73 · outbound
This paper cites Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Multimodal analysis of speech and arm motion for prosody-driven synthesis of beat gestures,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.434958Z
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.
Observation 093301d9-22ba-40de-8881-fc1d340d3470 · outbound
This paper cites Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.424280Z
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.
Observation ca6eb764-29f4-4a1c-9ece-c258af004ac9 · outbound
This paper cites Residual algorithms: Reinforcement learning with function approximation,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Residual algorithms: Reinforcement learning with function approximation,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.413830Z
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.
Observation 339146ee-7a4a-4c47-a908-762ac2a4f991 · outbound
This paper cites Data-efficient off-policy policy evaluation for reinforcement learning,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Data-efficient off-policy policy evaluation for reinforcement learning,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.402603Z
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.
Observation dfcb2235-968e-4195-83c4-38bf8c414324 · outbound
This paper cites Importance sampling for fair policy selection.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Importance sampling for fair policy selection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.390822Z
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.
Observation bf3e7dc8-4ff1-4e96-aabd-49d72844b742 · outbound
This paper cites Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:01:13.322853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfc8ab65-334e-47f3-9582-2716b491553b · outbound
This paper cites Fast nearest neighbor search through sparse random projections and voting,.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents Fast nearest neighbor search through sparse random projections and voting,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:01:13.380076Z
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.
Pith citing papers
No inbound Pith citation observations are available.