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Paper Citation Record · LEDGER

Action Flow Matching for Continual Robot Learning

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.18471.

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

pith.paper-citation-record.v1
2504.18471 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:23:14.190897Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b4d6c48-6ed6-4c22-9b9f-eb00448d9355 · outbound

This paper cites Courier Corporation, 2007.

Action Flow Matching for Continual Robot Learning Courier Corporation, 2007

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c047bb3c-650a-4729-8eb9-bf1759fd4f9b · outbound

This paper cites Crazyflie simulation.

Action Flow Matching for Continual Robot Learning Crazyflie simulation

Reference 2

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation aafae06a-e7fb-4b0d-af7f-da2e77e33c32 · outbound

This paper cites The cross-entropy method for optimization.

Action Flow Matching for Continual Robot Learning The cross-entropy method for optimization

Reference 3

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5624a394-351d-4b05-b873-f0292f50137d · outbound

This paper cites Prov- able lifelong learning of representations.

Action Flow Matching for Continual Robot Learning Prov- able lifelong learning of representations

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9b9eccfe-5959-4c12-a76b-cefc86fef5d5 · outbound

This paper cites Knode-mpc: A knowledge-based data-driven predictive control framework for aerial robots.IEEE Robotics and Automation Letters, 7(2):2819–2826, 2022.

Action Flow Matching for Continual Robot Learning Knode-mpc: A knowledge-based data-driven predictive control framework for aerial robots.IEEE Robotics and Automation Letters, 7(2):2819–2826, 2022

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e39302f4-7af4-42c8-9149-99c2553778fa · outbound

This paper cites Adaptive neural trajectory tracking control for flexible-joint robots with online learning.

Action Flow Matching for Continual Robot Learning Adaptive neural trajectory tracking control for flexible-joint robots with online learning

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba59c8bb-9cac-45e7-9f22-62ca85f6d7d9 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Action Flow Matching for Continual Robot Learning Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee56527e-2e6e-486c-bfd9-9d8c5b1dc9be · outbound

This paper cites Univer- sity of Houston, 1983.

Action Flow Matching for Continual Robot Learning Univer- sity of Houston, 1983

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c43ef0d3-f784-44e6-a1e0-cdacf7011def · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.IEEE transactions on pattern analysis and machine intelligence, 44(7):3366– 3385, 2021.

Action Flow Matching for Continual Robot Learning A continual learning survey: Defying forgetting in classification tasks.IEEE transactions on pattern analysis and machine intelligence, 44(7):3366– 3385, 2021

Reference 9

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Observation 66383c5c-4927-47e8-bdb6-dd2b629a3e07 · outbound

This paper cites an unresolved cited work.

Action Flow Matching for Continual Robot Learning Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:13.957031Z digest=sha256:d50d3a7560cb89c2b53b18f3c07fa8fb3313aea6c1812f69aad03414b9ec7f0b

Observation 20ffe8ee-ca61-4671-89bc-ea95fd3086d6 · outbound

This paper cites Streaming Deep Reinforcement Learning Finally Works.

Action Flow Matching for Continual Robot Learning Streaming Deep Reinforcement Learning Finally Works

Reference 11

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Observation 6e119de2-142d-4724-8a19-ecd80362ff4c · outbound

This paper cites Robust model predictive path integral control: Analysis and perfor- mance guarantees.IEEE Robotics and Automation Let- ters, 6(2):1423–1430, 2021.

Action Flow Matching for Continual Robot Learning Robust model predictive path integral control: Analysis and perfor- mance guarantees.IEEE Robotics and Automation Let- ters, 6(2):1423–1430, 2021

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 33af987a-8f31-4a01-b49f-f555f92978c3 · outbound

This paper cites Pro- totyping design and learning in outdoor mobile robots operating in unstructured outdoor environments.IEEE international robotics and automation magazine, 8(3): 53–69, 2001.

Action Flow Matching for Continual Robot Learning Pro- totyping design and learning in outdoor mobile robots operating in unstructured outdoor environments.IEEE international robotics and automation magazine, 8(3): 53–69, 2001

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c922a46a-f58e-45fe-921b-f6940fa2d83a · outbound

This paper cites Online learning and adaptation of autonomous mobile robots for sustainable agriculture.

Action Flow Matching for Continual Robot Learning Online learning and adaptation of autonomous mobile robots for sustainable agriculture

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3face4b0-fae3-4c4e-9708-c7480b112aef · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Action Flow Matching for Continual Robot Learning TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 15

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Unavailable: canonical work link unavailable.

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Observation b6adb19d-d973-4e98-b4f5-6135a36c3786 · outbound

This paper cites Online learning of humanoid robot kinematics under switching tools contexts.

Action Flow Matching for Continual Robot Learning Online learning of humanoid robot kinematics under switching tools contexts

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:15.053740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cf3584d2-a3df-451f-bb34-77a6e599136c · outbound

This paper cites Online dynamics learning for predictive control with an application to aerial robots.

Action Flow Matching for Continual Robot Learning Online dynamics learning for predictive control with an application to aerial robots

Reference 17

Resolution
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raw_fallback, observed 2026-08-16T10:23:15.034484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e1729ccc-b0aa-40b3-a6c3-6f247836ec21 · outbound

This paper cites Contributions to the theory of optimal control.Bol.

Action Flow Matching for Continual Robot Learning Contributions to the theory of optimal control.Bol

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0851bed0-83e2-4b4f-a386-df00377365d5 · outbound

This paper cites Towards continual reinforcement learning: A review and perspectives.Journal of Artificial Intelli- gence Research, 75:1401–1476, 2022.

Action Flow Matching for Continual Robot Learning Towards continual reinforcement learning: A review and perspectives.Journal of Artificial Intelli- gence Research, 75:1401–1476, 2022

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d8cea243-5ae0-445a-815b-207de3ab17df · outbound

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

Action Flow Matching for Continual Robot Learning RMA: Rapid Motor Adaptation for Legged Robots

Reference 20

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Observation 98c8ca29-9d65-4eaf-9c08-88d41a27dadf · outbound

This paper cites Adapting rapid motor adaptation for bipedal robots.

Action Flow Matching for Continual Robot Learning Adapting rapid motor adaptation for bipedal robots

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.970816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 72be0eab-2c8f-458b-a834-3047fe1bae38 · outbound

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

Action Flow Matching for Continual Robot Learning Context-aware dynamics model for generalization in model-based reinforcement learning

Reference 22

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Observation 835718e9-6385-41a9-8266-44dea46235d2 · outbound

This paper cites Continual learning for robotics: Definition, framework, learning strategies, opportunities and chal- lenges.Information fusion, 58:52–68, 2020.

Action Flow Matching for Continual Robot Learning Continual learning for robotics: Definition, framework, learning strategies, opportunities and chal- lenges.Information fusion, 58:52–68, 2020

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 62851334-a97b-4497-9641-669719aa7ef4 · outbound

This paper cites Rapid motor adaptation for robotic manipulator arms.

Action Flow Matching for Continual Robot Learning Rapid motor adaptation for robotic manipulator arms

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.926569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 829bf80d-391f-4557-bc59-8772f052aa15 · outbound

This paper cites Optimization-based autonomous racing of 1:43 scale rc cars.Optimal Control Applications and Methods, 36(5):628–647, 2015.

Action Flow Matching for Continual Robot Learning Optimization-based autonomous racing of 1:43 scale rc cars.Optimal Control Applications and Methods, 36(5):628–647, 2015

Reference 25

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 033353ae-eb1a-4fd3-bbb0-b9894afdc4de · outbound

This paper cites an unresolved cited work.

Action Flow Matching for Continual Robot Learning Unresolved cited work

Reference 26

Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8e02f229-0b8b-43a4-b3c6-618e030e41b5 · outbound

This paper cites Towards robust online inverse dynamics learning.

Action Flow Matching for Continual Robot Learning Towards robust online inverse dynamics learning

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee10ede8-d87f-4977-a21e-f2dd47d11da3 · outbound

This paper cites an unresolved cited work.

Action Flow Matching for Continual Robot Learning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:23:14.836115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a0c420ae-0d06-4fdd-83ae-b45c1a94f9da · outbound

This paper cites Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL.

Action Flow Matching for Continual Robot Learning Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:14.070623Z digest=sha256:a2b2b9ff81e841d23983b9f116f3d69703eefb006a963623d375b463af263d16

Observation 310e5e1e-470a-4ed7-accf-0414827109f1 · outbound

This paper cites Incremental online sparsification for model learning in real-time robot con- trol.Neurocomputing, 74(11):1859–1867, 2011.

Action Flow Matching for Continual Robot Learning Incremental online sparsification for model learning in real-time robot con- trol.Neurocomputing, 74(11):1859–1867, 2011

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.809893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fd8a6899-aad1-428d-87e0-1d8e2409d66a · outbound

This paper cites Online movement adaptation based on previous sensor experiences.

Action Flow Matching for Continual Robot Learning Online movement adaptation based on previous sensor experiences

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.785134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.083782Z digest=sha256:3e72184d722a0a1a958c99fcd2424375d9e26915aa97b012c8ebec8dc73d4bf9

Observation c590fbe2-4384-4dac-a0f5-6f22feb801cc · outbound

This paper cites In-hand object rotation via rapid motor adaptation.

Action Flow Matching for Continual Robot Learning In-hand object rotation via rapid motor adaptation

Reference 32

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unresolved
no resolver link, observed 2026-08-16T10:23:14.089574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:14.089574Z digest=sha256:3aea231a7de18603a3079cada854ea9db8f5113f63ad3c708a3cabc0abdc0962

Observation 9a6f0c81-8279-45b6-8ece-b4a65a5d3ef8 · outbound

This paper cites Model predictive heuristic control.Automatica (journal of IFAC), 14(5):413–428, 1978.

Action Flow Matching for Continual Robot Learning Model predictive heuristic control.Automatica (journal of IFAC), 14(5):413–428, 1978

Reference 33

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raw_fallback, observed 2026-08-16T10:23:14.751430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.094873Z digest=sha256:22cd554d9c7f879ba0cebe84772a2b502102197547d20228496c83f048d30f13

Observation 725547c2-0d4f-4de7-9d96-61239e89fdde · outbound

This paper cites Jackal ugv - small weatherproof robot - clearpath., 2025.

Action Flow Matching for Continual Robot Learning Jackal ugv - small weatherproof robot - clearpath., 2025

Reference 34

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raw_fallback, observed 2026-08-16T10:23:14.733478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.104576Z digest=sha256:c53b1d35e6c2183b7a634b09d9d510c2669924b7b7db953f6006d52304957a7a

Observation 5eedb119-ae98-489b-80be-c8a33dbe2751 · outbound

This paper cites Ella: An efficient lifelong learning algorithm.

Action Flow Matching for Continual Robot Learning Ella: An efficient lifelong learning algorithm

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.713275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.113529Z digest=sha256:88882ecb0fe3967eeab45138a4c9075ff1c3c3fe2797a73ce9c5e2e5f1a21f54

Observation 829d3b45-d7bc-45b9-ad34-e601de276dd5 · outbound

This paper cites John Wiley & Sons, 2016.

Action Flow Matching for Continual Robot Learning John Wiley & Sons, 2016

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.689988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.121090Z digest=sha256:14bec96297b65ea971b6614901683ffadb22d955e90be5d6fd81d58ba1ba3122

Observation 9c9238ef-a8b3-4a54-b712-bf42aad67bae · outbound

This paper cites Lifelong machine learning systems: Beyond learning algorithms.

Action Flow Matching for Continual Robot Learning Lifelong machine learning systems: Beyond learning algorithms

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.672525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.134885Z digest=sha256:7a468eebd77d1eea97ef643cbcd165de7a2d673d6a58ecee6ff4ac83256f11d0

Observation 6950761a-f350-4e51-b7ba-98c7f83489f9 · outbound

This paper cites Lifelong autonomous improvement of navigation foun- dation models in the wild.

Action Flow Matching for Continual Robot Learning Lifelong autonomous improvement of navigation foun- dation models in the wild

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.649496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.141264Z digest=sha256:ab4acf3a77f8eb6195ef4b745349cccdf78fce39d1b830066d0027b1ad788cf9

Observation d9d76c9c-2497-4f31-9442-315c4566e8d5 · outbound

This paper cites Cambridge university press, 2003.

Action Flow Matching for Continual Robot Learning Cambridge university press, 2003

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.625168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.149398Z digest=sha256:1041ddb54e6794ab0c749b40ff3c004cc4b9a17fc2cd79e9a4f3fcfb9d42a29c

Observation 112e978a-6943-4949-93bd-430d9c6ac51c · outbound

This paper cites Online learning of unknown dynamics for model- based controllers in legged locomotion.IEEE Robotics and Automation Letters, 6(4):8442–8449, 2021.

Action Flow Matching for Continual Robot Learning Online learning of unknown dynamics for model- based controllers in legged locomotion.IEEE Robotics and Automation Letters, 6(4):8442–8449, 2021

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.599178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.155530Z digest=sha256:1c395afc33a87346ba92cbb39649168e2500956d6b5c253bf21793ed25312244

Observation 9f9a3378-6f30-4179-b5e3-f7b9d8b57762 · outbound

This paper cites MIT press, 2018.

Action Flow Matching for Continual Robot Learning MIT press, 2018

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T10:23:14.159765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:23:14.159765Z digest=sha256:b3b226e89e3549ae0eb0aa71742aefd32cc2eca0ec7ce3d9a387d8d65242df7d

Observation 50b8e2b0-e481-4427-bb92-cf153cf92275 · outbound

This paper cites Error-based learning mechanism for fast online adaptation in robot motor control.IEEE transactions on neural networks and learning systems, 31(6):2042–2051, 2019.

Action Flow Matching for Continual Robot Learning Error-based learning mechanism for fast online adaptation in robot motor control.IEEE transactions on neural networks and learning systems, 31(6):2042–2051, 2019

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.560153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.166034Z digest=sha256:88de15952491a07a49f9f58ee32364f635d0bf0e57765bbe47f4d795ae4d774e

Observation 333f8cde-f8e6-4b01-b501-0b65e2377c86 · outbound

This paper cites Lifelong learning algorithms.

Action Flow Matching for Continual Robot Learning Lifelong learning algorithms

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.532216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.172282Z digest=sha256:4d494791968129781f54996c789db0000422af269d075c6e060bfb35483a13d3

Observation 98c8e220-a8b8-40e3-a3d4-9ebb6f1b994a · outbound

This paper cites •Eligibility Traces:Accumulating traces facilitate credit assignment over time.

Action Flow Matching for Continual Robot Learning •Eligibility Traces:Accumulating traces facilitate credit assignment over time

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.511171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.177276Z digest=sha256:9d4053952a17f55dd594a41051a24ad325492ab7bbaeca19a98bd3380067dd12

Observation 759759c8-1b9c-4419-95fe-21b3a913d2d0 · outbound

This paper cites An efficient step-size control mechanism mitigates computational overhead associated with traditional backtracking.

Action Flow Matching for Continual Robot Learning An efficient step-size control mechanism mitigates computational overhead associated with traditional backtracking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.487952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.186112Z digest=sha256:f4511186630c2b868a799928fe0d397c607eda86d2fabefb331238aeccb7cc10

Observation 772db253-49f2-4557-80e7-2bf000e85061 · outbound

This paper cites The normalization scale and bias parameters are not learned.

Action Flow Matching for Continual Robot Learning The normalization scale and bias parameters are not learned

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:23:14.467185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T10:23:14.190897Z digest=sha256:18190c4ca942e525987bca252c12b14bb1efce5901ebd5c6cc79c843f924f3cf

Pith citing papers

No inbound Pith citation observations are available.