Paper Citation Record · LEDGER

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.10398.

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

pith.paper-citation-record.v1
1908.10398 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:49:41.317413Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation da68260b-378b-483d-bb7a-a2d2c41adba3 · outbound

This paper cites Cuay ´ahuitl, Deep reinforcement learning for conversational robots playing games, in: IEEE-RAS International Conference on Humanoid Robots (Hu- manoids), 2017.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, Deep reinforcement learning for conversational robots playing games, in: IEEE-RAS International Conference on Humanoid Robots (Hu- manoids), 2017

Reference 1

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Unresolved cited work

Reference 2

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Unresolved cited work

Reference 3

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Unresolved cited work

Reference 4

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Observation 665b689a-4949-4624-8b9a-f10c25d41d87 · outbound

This paper cites Cuay ´ahuitl, G.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, G

Reference 5

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This paper cites Wermter, C.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Wermter, C

Reference 6

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This paper cites Ngiam, A.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Ngiam, A

Reference 7

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Observation 7dfcbe51-8e3f-4988-9e8e-dfcfc3d275f8 · outbound

This paper cites Srivastava, R.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Srivastava, R

Reference 8

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This paper cites End-to-End Training of Deep Visuomotor Policies.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots End-to-End Training of Deep Visuomotor Policies

Reference 9

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Reference 10

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Observation 49241291-bc17-44b8-a9ff-d63546f55cdb · outbound

This paper cites Short, J.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Short, J

Reference 11

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Observation 83d96cb2-b6e2-4818-af1b-2a14ba39e9a5 · outbound

This paper cites Kober, M.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Kober, M

Reference 12

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Reference 13

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Reference 14

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Unresolved cited work

Reference 15

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Unresolved cited work

Reference 16

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Observation 5ad8fe20-bc7f-49e4-ac10-ed212d83fb7c · outbound

This paper cites Cuay ´ahuitl, Robot learning from verbal interaction: A brief survey, in: 4th International Symposium on New Frontiers in HRI, 2015.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, Robot learning from verbal interaction: A brief survey, in: 4th International Symposium on New Frontiers in HRI, 2015

Reference 17

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Observation 7a448777-b469-426e-8160-d9332ab8b4c0 · outbound

This paper cites Cuay ´ahuitl, K.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, K

Reference 18

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Observation f20c0316-b6d4-4a9d-a124-a7f96215a615 · outbound

This paper cites Thrun, et al., Probabilistic algorithms and the interactive museum tour-guide robot minerva, The International Journal of Robotics Research 19 (11) (2000) 972–999.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Thrun, et al., Probabilistic algorithms and the interactive museum tour-guide robot minerva, The International Journal of Robotics Research 19 (11) (2000) 972–999

Reference 19

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Observation eec9a656-0a34-4c21-a145-18f106abca1b · outbound

This paper cites Bohus, C.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Bohus, C

Reference 20

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Observation 21ee87d4-91a9-4ce2-a3b8-0da8e828940c · outbound

This paper cites Cuay ´ahuitl, SimpleDS: A simple deep reinforcement learning dialogue sys- tem, in: International Workshop on Spoken Dialogue Systems (IWSDS), 2016.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, SimpleDS: A simple deep reinforcement learning dialogue sys- tem, in: International Workshop on Spoken Dialogue Systems (IWSDS), 2016

Reference 21

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Observation ab6c78cb-47e3-43e7-8f73-72b24650cf78 · outbound

This paper cites LeCun, L.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots LeCun, L

Reference 22

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Observation dff14414-5a13-43d8-9412-5e1cf72645fb · outbound

This paper cites Cuay ´ahuitl, D.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, D

Reference 23

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Observation 19131f6b-eb45-4a6b-b5a8-c69a3ed9e3a6 · outbound

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Reference 24

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This paper cites Szepesv ´ari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Szepesv ´ari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010

Reference 25

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Observation 6ec1c4db-fee3-42be-a944-ffdfae1e2655 · outbound

This paper cites Cuay ´ahuitl, SimpleDS: A Simple Deep Reinforcement Learning Dia- logue System, Springer, Singapore, 2017, pp.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, SimpleDS: A Simple Deep Reinforcement Learning Dia- logue System, Springer, Singapore, 2017, pp

Reference 26

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Reference 27

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Observation 0020a1a3-9e84-47c0-9604-88dc46cbbf33 · outbound

This paper cites Dethlefs, Domain transfer for deep natural language generation from abstract meaning representations, IEEE Comp.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Dethlefs, Domain transfer for deep natural language generation from abstract meaning representations, IEEE Comp

Reference 28

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Observation ee08f502-9cd9-45f7-8159-c2580896e968 · outbound

This paper cites Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network

Reference 29

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Observation 41630b2e-a788-4af5-8d59-fa1c91641835 · outbound

This paper cites Settles, Active Learning, Morgan & Claypool Publishers, 2012.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Settles, Active Learning, Morgan & Claypool Publishers, 2012

Reference 30

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This paper cites Cuay ´ahuitl, N.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, N

Reference 31

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Observation 670de8eb-e4f0-482a-adff-fa2d0c6be5b1 · outbound

This paper cites Massively Parallel Methods for Deep Reinforcement Learning.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Massively Parallel Methods for Deep Reinforcement Learning

Reference 32

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Observation 87fd2502-6505-4412-867a-1b9eeb0d9faf · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Asynchronous Methods for Deep Reinforcement Learning

Reference 33

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This paper cites Prioritized Experience Replay.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Prioritized Experience Replay

Reference 34

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Observation ee5182f9-fd16-4925-9163-0d18c2329c9d · outbound

This paper cites Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Reference 35

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Reference 36

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This paper cites Cuay ´ahuitl, S.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, S

Reference 37

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This paper cites Cuay ´ahuitl, S.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Cuay ´ahuitl, S

Reference 38

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A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Gregor, I

Reference 39

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This paper cites Bullock, S.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Bullock, S

Reference 40

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Observation 834479ce-c2c7-49fc-80aa-6c9ee3e00d34 · outbound

This paper cites Kalles, P.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Kalles, P

Reference 41

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Observation 0b9e3311-72d4-45be-9b76-eb5fb5613e20 · outbound

This paper cites Silver, A.

A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Silver, A

Reference 42

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Pith citing papers

No inbound Pith citation observations are available.