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Paper Citation Record · LEDGER

CARoL: Context-aware Adaptation for Robot Learning

As of 8 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 2026-08-07T06:34:17.273281+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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  • 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 2026-08-07T06:34:17.273281+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=sha256:8030cb3e39828b3d0f6264232e9390f8bc66a6b3227d5f50e9002aafb18a9e81

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:e51966004388eebeae6629a1af4962a7bd93c4bbffd08d2b5d66f4d8c93b776e

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=sha256:5ab7775b64bed142b4853c9861ec2f0c0413f93b33be753f247dcfd1c330ab79

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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:f7567b0c7d9ae488a53dbd56f77fa3f0f42ff2ecf904e92137ac6ab63fe428fa

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.807388Z digest=sha256:68c566d340a6db4f091ec908eadeb3765815007d073e5ee62fbf50603f31a9c6

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:fad87e9fffb3d9ee6516d75bf1d62cd5f16679f6d04684cc9fa24fd8ce266517

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:b8b8ea097b3a52582cd134accc841af48051f60948fcc89ca3aa5b75a82495fe

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=sha256:185a05be000935c9acf7a2f53c1a1200b5ab2913a4cdbda3c67181096bd00b75

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:f9ee10de81f6b50d77a047822076ea37663652c4da554bba3fdd695e90125cab

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:a22502e5a8a704f9b777b45b1c74ff95707c8696a792ebea558503912d5b23c6

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.833348Z digest=sha256:77428012c81b707456a55116b146d6d2dc7f253861bb893af4c5855b8ad94cc6

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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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=sha256:7612acfe8796cc5f96dea7599503ef52b4612029af13e2bdda3b3620e94abdc5

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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source=pdf_text observed=2026-08-07T05:49:54.846738Z digest=sha256:878b04ed91d62df8f67722867491e41e69feff2dcd9a739caf297bf82637299c

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:ea013cc7d670d8abde8f7ba3d05c1600f189a0d866c94059b6ff9d8efbd1d907

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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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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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:c8b47e59a6af357ddf31a7c43741404b19b039c33de2bff7a562915731d957bc

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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source=pdf_text observed=2026-08-07T05:49:54.871057Z digest=sha256:045b0bb6015935638efc89cc93d9a5ed13c99ee3b8a7e4e5a75c2bc50608bd20

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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source=pdf_text observed=2026-08-07T05:49:54.875170Z digest=sha256:d3a4963fe691430ef1dc625d0259d87967caec9b16e2d91544eeca12cd46216c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.878820Z digest=sha256:cbdd6c86d0c14d89c09b5e48cb2380ce2f4b08e6ac551104421c519ff17fe34a

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=pdf_text observed=2026-08-07T05:49:54.882327Z digest=sha256:26abe49a9b664bffd09e0250557de92ceee834115abdd9ef12f6880ce6baf111

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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source=pdf_text observed=2026-08-07T05:49:54.886041Z digest=sha256:35eca6fe6813155c25dfecda70a09a04468d636fc88f1b2fadc4142fdc5b6678

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=pdf_text observed=2026-08-07T05:49:54.889688Z digest=sha256:201ee3bafb459c90f22be727bfcf4653fc83c53acb4f40267e2db567aacd8b19

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=sha256:90b422563248df8adc2bb0b64a4b3950ddc002af3190e5dc4bd8c4c1c3d8515f

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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=pdf_text observed=2026-08-07T05:49:54.900122Z digest=sha256:e5e9f8315c8bae4ff5547495c59d306a150c311bf70750bd657320a875284ecf

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.903206Z digest=sha256:8a4faff44c1bbd6dd4ca6a5c3d0cde55c526f3551654f5f1371f23d3015c0ad5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.907699Z digest=sha256:1581b6a539eb0bd077847b91020ecd86a31b492d5ec7239cdf0af3e9136cd024

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.911178Z digest=sha256:8be33935d323de97f0a373e70320debaa158e2e11f54bb3ea6330d6e9d976ca6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.914524Z digest=sha256:5e8ad1d8188795eda44a97e08e61dcee628840a02b2a78d5f56c2976b200f600

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=sha256:3e3698ce9199f69781792e5cb5764f18544ffc0e08dab9b295d71761c2ee9468

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:54.921742Z digest=sha256:786ddac851ce7f6386359fb633a975aea1323a2eeb595d8eb3b6ae762535f255

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=sha256:682eab72d89294766f4d5bd068a70738a74b6219bd0ff763793507966abc2778

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:d36f7d83d471fcc7d8b2297299b30fed4a5681d2f671e78854dfabb156820142

Pith citing papers

No inbound Pith citation observations are available.