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Paper Citation Record · LEDGER

CARoL: Context-aware Adaptation for Robot Learning

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.07006.

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

pith.paper-citation-record.v1
2506.07006 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:54.928309Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

  • verified exact1
  • verified fuzzy22
  • unresolved19
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 832d03e3-c527-4669-bcbe-469b37210d13 · outbound

This paper cites Deep reinforce- ment learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017.

CARoL: Context-aware Adaptation for Robot Learning Deep reinforce- ment learning: A brief survey.IEEE Signal Processing Magazine, 34(6):26–38, 2017

Reference 1

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 494bb62a-329e-4d14-b7f2-4492b0325077 · outbound

This paper cites Flexible attention-based multi-policy fusion for efficient deep reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024.

CARoL: Context-aware Adaptation for Robot Learning Flexible attention-based multi-policy fusion for efficient deep reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 2

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Observation dc3adc28-8370-4f1b-8520-2bcbde895cdd · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep net- works.

CARoL: Context-aware Adaptation for Robot Learning Model- agnostic meta-learning for fast adaptation of deep net- works

Reference 3

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source=pdf_text observed=2026-08-07T05:49:54.784357Z digest=sha256:86bc134c1083fb642f5094403ce957e14040ab3c413a6184ddec0d1605d97cdb

Observation 28f8dcee-2ae8-4cb7-a10a-9d2afc154dc8 · outbound

This paper cites Address- ing function approximation error in actor-critic methods.

CARoL: Context-aware Adaptation for Robot Learning Address- ing function approximation error in actor-critic methods

Reference 4

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source=pdf_text observed=2026-08-07T05:49:54.788944Z digest=sha256:0db2ebe927d74443d857a1f50cc67e3f8d4b761ff60985be5e81ee26545e677a

Observation 6fd87cd9-d368-412c-91a5-d11b5b3359a0 · outbound

This paper cites Contextual Markov Decision Processes.

CARoL: Context-aware Adaptation for Robot Learning Contextual Markov Decision Processes

Reference 5

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source=pdf_text observed=2026-08-07T05:49:54.794251Z digest=sha256:65acb67425303093ae11bb344c23e2d404640cbb122d1154693c0ce0e33bae0d

Observation eb508cd1-2f38-42fa-a0f0-2a6c1a491543 · outbound

This paper cites Learning an embedding space for transferable robot skills.

CARoL: Context-aware Adaptation for Robot Learning Learning an embedding space for transferable robot skills

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation de15436c-8ea7-42eb-a48d-74b93ee4c7d9 · outbound

This paper cites MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.

CARoL: Context-aware Adaptation for Robot Learning MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Reference 7

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source=pdf_text observed=2026-08-07T05:49:54.803585Z digest=sha256:b016134576fb483ae6f11d232ff6da436737cf9efd7b8829382450c589eb87cc

Observation d2b88540-7637-4088-8d3a-be46b055683b · outbound

This paper cites Fast online adaptation in robotics through meta-learning embeddings of simulated priors.

CARoL: Context-aware Adaptation for Robot Learning Fast online adaptation in robotics through meta-learning embeddings of simulated priors

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.807388Z digest=sha256:40f43a4f6b588c0b88ad47bdd609c651183027db8e34aba7bd047143d3a76fb7

Observation 028464dd-6845-4b47-bdbb-5b4793ed1b23 · outbound

This paper cites Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model.

CARoL: Context-aware Adaptation for Robot Learning Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model

Reference 9

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source=pdf_text observed=2026-08-07T05:49:54.811251Z digest=sha256:0a545a2efda722a575b4a3b93f5e975f7c9a62a31fd81ada79607ece1827dd74

Observation 976ae390-ca49-4f95-8e9a-0ef8bead6237 · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

CARoL: Context-aware Adaptation for Robot Learning RMA: Rapid Motor Adaptation for Legged Robots

Reference 10

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source=pdf_text observed=2026-08-07T05:49:54.815030Z digest=sha256:9c79ddbb2aa98abfd984c4556b4bd7170c915a45878c94a9bc27ae3a03c39b56

Observation a3cee001-ee9b-42a6-8cd6-212c9dddd4a1 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain.Science robotics, 5 (47):eabc5986, 2020.

CARoL: Context-aware Adaptation for Robot Learning Learning quadrupedal locomotion over challenging terrain.Science robotics, 5 (47):eabc5986, 2020

Reference 11

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source=pdf_text observed=2026-08-07T05:49:54.819283Z digest=sha256:4c10cb396d4c6741e024b2ded4cb6310ee38d094715abd17befa3ada21d8b4ab

Observation 0318c5fe-0c93-43f2-968b-2bb8cc3742ec · outbound

This paper cites Context-aware dynamics model for generalization in model-based reinforcement learning.

CARoL: Context-aware Adaptation for Robot Learning Context-aware dynamics model for generalization in model-based reinforcement learning

Reference 12

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source=pdf_text observed=2026-08-07T05:49:54.822781Z digest=sha256:b7a669d34e21b7c7127a86a3b75bdeea5a1b181a881da83d43b692fc02c98c1f

Observation f7207491-cf43-4180-ac5a-2d11b6889461 · outbound

This paper cites Context-Aware Policy Reuse.

CARoL: Context-aware Adaptation for Robot Learning Context-Aware Policy Reuse

Reference 13

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source=pdf_text observed=2026-08-07T05:49:54.826271Z digest=sha256:ef9f1315787ff597f1a9e4cda0b91b0774d91718267285e676afe4eb72a62069

Observation e2520d0a-274f-4be0-85d8-1b5c65365ea9 · outbound

This paper cites Context-aware deep reinforcement learning for autonomous robotic navigation in unknown area.

CARoL: Context-aware Adaptation for Robot Learning Context-aware deep reinforcement learning for autonomous robotic navigation in unknown area

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.829957Z digest=sha256:cd5b80d9c1d6041cd0d8b50e756b91debbc57cd7c34c3545860630a7dbe18a7f

Observation e9017922-353b-4bd8-8897-b91b84b56f7a · outbound

This paper cites A lifelong learning approach to mobile robot navigation.IEEE Robotics and Automation Letters, 6(2):1090–1096, 2021.

CARoL: Context-aware Adaptation for Robot Learning A lifelong learning approach to mobile robot navigation.IEEE Robotics and Automation Letters, 6(2):1090–1096, 2021

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.833348Z digest=sha256:446b461a48dc50de9c7da58b8b944d0075727be00d3eed7c15b4189f411e548a

Observation 784315f1-e924-4b2c-8ace-b8f04e614a12 · outbound

This paper cites Lifelong feder- ated reinforcement learning: a learning architecture for navigation in cloud robotic systems.IEEE Robotics and Automation Letters, 4(4):4555–4562, 2019.

CARoL: Context-aware Adaptation for Robot Learning Lifelong feder- ated reinforcement learning: a learning architecture for navigation in cloud robotic systems.IEEE Robotics and Automation Letters, 4(4):4555–4562, 2019

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2722d21a-7d02-4fbc-8fc8-f0561bebd2f4 · outbound

This paper cites Learning then, learning now, and every second in be- tween: lifelong learning with a simulated humanoid robot.Frontiers in Neurorobotics, 15:669534, 2021.

CARoL: Context-aware Adaptation for Robot Learning Learning then, learning now, and every second in be- tween: lifelong learning with a simulated humanoid robot.Frontiers in Neurorobotics, 15:669534, 2021

Reference 17

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 72e53a8c-a7e0-4eda-9fe6-05c0d690275b · outbound

This paper cites Gradient episodic memory for continual learning.Advances in neural information processing systems, 30, 2017.

CARoL: Context-aware Adaptation for Robot Learning Gradient episodic memory for continual learning.Advances in neural information processing systems, 30, 2017

Reference 18

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source=pdf_text observed=2026-08-07T05:49:54.843430Z digest=sha256:86da23ab45b2636c30a12842ebd44d40aee183b5d67ea2d9930b2732bfce4939

Observation abbdab1c-5037-407d-b6e8-e04cd82048ac · outbound

This paper cites Lifelong robot learning with human assisted language planners.

CARoL: Context-aware Adaptation for Robot Learning Lifelong robot learning with human assisted language planners

Reference 19

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.846738Z digest=sha256:27677552cb16630aa259b930126269fd9c88f580f1e5609972d032e194f6d0ab

Observation 00f57ece-6bba-42ea-b413-3cc61b1112a1 · outbound

This paper cites Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.

CARoL: Context-aware Adaptation for Robot Learning Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

Reference 20

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source=pdf_text observed=2026-08-07T05:49:54.850290Z digest=sha256:06fb72ba3fbe8e2488c868a7a509118ac2ad15e80189d157943a5760d11f2365

Observation 208ab583-c46e-4bd8-936a-1be49f766894 · outbound

This paper cites Deepmimic: Example-guided deep re- inforcement learning of physics-based character skills.

CARoL: Context-aware Adaptation for Robot Learning Deepmimic: Example-guided deep re- inforcement learning of physics-based character skills

Reference 21

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source=pdf_text observed=2026-08-07T05:49:54.853797Z digest=sha256:671a71f1e1a2dd3b7f526897ab5dd8f55309dc3331df21c4b604320f018a8235

Observation e86acdba-7d0f-4b9e-bc98-f7708e3d6dcc · outbound

This paper cites Learning Agile Robotic Locomotion Skills by Imitating Animals.

CARoL: Context-aware Adaptation for Robot Learning Learning Agile Robotic Locomotion Skills by Imitating Animals

Reference 22

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Observation b10adb0b-a82f-4816-8cc6-95efa4deb863 · outbound

This paper cites Model-based reinforcement learning variable impedance control for human-robot collabora- tion.Journal of Intelligent & Robotic Systems, 100(2): 417–433, 2020.

CARoL: Context-aware Adaptation for Robot Learning Model-based reinforcement learning variable impedance control for human-robot collabora- tion.Journal of Intelligent & Robotic Systems, 100(2): 417–433, 2020

Reference 23

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.860747Z digest=sha256:2ac6c7733f76e204befa84e262adfdc0efca220db0719d1325c803c122fb7109

Observation 47cb0c04-ae74-4593-bd4b-93335d6af576 · outbound

This paper cites Knowledge Adaptation: Teaching to Adapt.

CARoL: Context-aware Adaptation for Robot Learning Knowledge Adaptation: Teaching to Adapt

Reference 24

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local_arxiv, observed 2026-08-07T05:49:55.003075Z

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Observation 028cc3eb-437b-4ebe-baf4-730ef8fa42e0 · outbound

This paper cites Policy Distillation.

CARoL: Context-aware Adaptation for Robot Learning Policy Distillation

Reference 25

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source=pdf_text observed=2026-08-07T05:49:54.867738Z digest=sha256:ee1cefb259626691dc522936b285ca9a52cfd9815634a83ae54bc38868213357

Observation 18c84462-cde1-4633-aa96-7f26fbc0790c · outbound

This paper cites Proximal Policy Optimization Algorithms.

CARoL: Context-aware Adaptation for Robot Learning Proximal Policy Optimization Algorithms

Reference 26

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Observation 99cf1be7-0dcd-4da5-8bdb-d463bfac2e6d · outbound

This paper cites Rapidly adaptable legged robots via evolutionary meta- learning.

CARoL: Context-aware Adaptation for Robot Learning Rapidly adaptable legged robots via evolutionary meta- learning

Reference 27

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Observation cb2afa16-7ee0-4bea-9a26-9afd42c15440 · outbound

This paper cites Fully autonomous real-world reinforce- ment learning with applications to mobile manipula- tion.

CARoL: Context-aware Adaptation for Robot Learning Fully autonomous real-world reinforce- ment learning with applications to mobile manipula- tion

Reference 28

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.878820Z digest=sha256:9f159f34750c7b370263f11f5678a096fd8df7766e97003e2910a9717548aec0

Observation a366d5a2-787f-41dc-90f3-f1418273d83f · outbound

This paper cites Chrono: An open source multi-physics dynamics engine.

CARoL: Context-aware Adaptation for Robot Learning Chrono: An open source multi-physics dynamics engine

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.882327Z digest=sha256:ac310ac5cd6b2e984bce5de3092dac103b0bc7c7512ed079211ded65d366f28f

Observation a3f1f4c0-22a0-478e-8c03-0eb400a9dfe1 · outbound

This paper cites Distral: Robust multitask rein- forcement learning.Advances in neural information processing systems, 30, 2017.

CARoL: Context-aware Adaptation for Robot Learning Distral: Robust multitask rein- forcement learning.Advances in neural information processing systems, 30, 2017

Reference 30

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.886041Z digest=sha256:565c571f1cc953bdbd61871bf0af23f4c7ff13c2b42f1bb79d06c6f07778b54d

Observation 3e267169-c12d-4021-ada9-0d3f445b7a3a · outbound

This paper cites Deep reinforcement learning with double q-learning.

CARoL: Context-aware Adaptation for Robot Learning Deep reinforcement learning with double q-learning

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.889688Z digest=sha256:cd68d36e0c8039629cd3fbfe001a8781c301bb5d1b5adb13e8aaacc5e36c03ad

Observation 86da8c62-9e8c-41e0-956b-3cba5043138d · outbound

This paper cites Selective Knowledge Distillation for Neural Machine Translation.

CARoL: Context-aware Adaptation for Robot Learning Selective Knowledge Distillation for Neural Machine Translation

Reference 32

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source=pdf_text observed=2026-08-07T05:49:54.893150Z digest=sha256:9832d52f781db97f3fe27adfdf9eaad8860101ca81ead27da34ab0895eeba657

Observation e4c7a4bf-acc6-4aa9-9781-d1152b3ca1a8 · outbound

This paper cites Deep reinforcement learning: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(4):5064– 5078, 2022.

CARoL: Context-aware Adaptation for Robot Learning Deep reinforcement learning: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(4):5064– 5078, 2022

Reference 33

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raw_fallback, observed 2026-08-07T05:49:55.166142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.896855Z digest=sha256:3c636942f4a01da1daa8a7d751630de698af0405bce01f9ec7b57a8cc201a8bc

Observation 06f3f800-3d20-47c1-a6e3-031889a1dba9 · outbound

This paper cites Multi-task reinforcement learning: a hierar- chical bayesian approach.

CARoL: Context-aware Adaptation for Robot Learning Multi-task reinforcement learning: a hierar- chical bayesian approach

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.900122Z digest=sha256:ec77fe78e52de79354d503a866036f3a0054f78977622ad1e6a28ca3f977f24d

Observation 779b1c9f-6e36-4d10-8d01-670bb89de4bc · outbound

This paper cites Safe deep policy adaptation.

CARoL: Context-aware Adaptation for Robot Learning Safe deep policy adaptation

Reference 35

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raw_fallback, observed 2026-08-07T05:49:55.142877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.903206Z digest=sha256:87f79c847349db196f685322e58a25c7e1f9e7ddcb017393bac3d96fea724922

Observation 33b27c73-8d7e-4901-9bb1-1a28c5ac787e · outbound

This paper cites Motion planning and control for mobile robot navigation using machine learning: a survey.Autonomous Robots, 46(5):569–597, 2022.

CARoL: Context-aware Adaptation for Robot Learning Motion planning and control for mobile robot navigation using machine learning: a survey.Autonomous Robots, 46(5):569–597, 2022

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:49:55.131343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.907699Z digest=sha256:ab3d4ca3336f31d4fa505b53ca6f3921466453e1fb4052689ceb14abfa7e8ba0

Observation eee83cf6-2fd3-4875-b6af-cdf7c9d93a27 · outbound

This paper cites Multi-task reinforcement learning for quadrotors.IEEE Robotics and Automation Letters, 2024.

CARoL: Context-aware Adaptation for Robot Learning Multi-task reinforcement learning for quadrotors.IEEE Robotics and Automation Letters, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:49:55.120669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.911178Z digest=sha256:1d4a766b94dca16316dfb3b1df598100d0fc6651323e2c6eff9b4a1ee172d786

Observation 5b4c60e0-d5ac-4215-ab5c-d59e34294d20 · outbound

This paper cites Benchmarking reinforcement learning techniques for autonomous navigation.

CARoL: Context-aware Adaptation for Robot Learning Benchmarking reinforcement learning techniques for autonomous navigation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:49:55.109574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.914524Z digest=sha256:a52eeca4e2a7a79ed7d7e2a5226308046680bb27d485d7ae3766ae0646c720ea

Observation e003c4d1-ee89-44ff-84e7-d2139fbc73cd · outbound

This paper cites Multi-expert learning of adaptive legged locomotion.Science Robotics, 5(49):eabb2174, 2020.

CARoL: Context-aware Adaptation for Robot Learning Multi-expert learning of adaptive legged locomotion.Science Robotics, 5(49):eabb2174, 2020

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:54.918211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:54.918211Z digest=sha256:fd24a36d616c21a18797e275b54c63c109a285a54c1474b53d3ef75ea20979a1

Observation d399eb98-9661-4b0d-a059-8aedfbc5521a · outbound

This paper cites Preparing for the unknown: Learning a universal policy with online system identification.Robotics: Science and Systems Proceedings, 2017.

CARoL: Context-aware Adaptation for Robot Learning Preparing for the unknown: Learning a universal policy with online system identification.Robotics: Science and Systems Proceedings, 2017

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:49:55.091504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:49:54.921742Z digest=sha256:6f65d5300091b0ffd107a37d1630218a1b12221c93c82620b3f28c5192da9478

Observation 4d44db93-cadf-4de9-8d49-1721d9ccea87 · outbound

This paper cites A survey on multi-task learning.IEEE transactions on knowledge and data engineering, 34(12):5586–5609, 2021.

CARoL: Context-aware Adaptation for Robot Learning A survey on multi-task learning.IEEE transactions on knowledge and data engineering, 34(12):5586–5609, 2021

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:54.925003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:54.925003Z digest=sha256:21d2be6f1d8c5ddeb62f9d81f45a4e0b6ea05f63eceff616040edf5b3097a126

Observation e679ad12-e1af-41e9-a591-c6726325a71e · outbound

This paper cites The Ingredients of Real-World Robotic Reinforcement Learning.

CARoL: Context-aware Adaptation for Robot Learning The Ingredients of Real-World Robotic Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:54.928309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:54.928309Z digest=sha256:319102a044502ea0212cbc8edf2db38e92c1477778aaa462c5dda5c66d0ec77a

Pith citing papers

No inbound Pith citation observations are available.