Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:24.615451Z
Paper Citation Record · LEDGER
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation
As of 12 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2501.03405.
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 2026-08-12T06:34:41.77262+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
64 of 64 outbound references displayed
- verified exact2
- verified fuzzy26
- unresolved31
- parse uncertain0
- malformed identifier3
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 49354b47-07d1-4fbc-b526-b221b45f803c · outbound
This paper cites Othman, E.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Othman, E
Reference 1
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T21:56:24.301007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ccd2930-2c51-4e3e-976a-26f2a26f9d8c · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 2
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T21:56:24.305998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b83d951d-8fa6-4091-9b3e-dd07aaf04be4 · outbound
This paper cites SeungSub, H.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation SeungSub, H
Reference 3
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-10T21:56:25.312449Z
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.
Observation 43c2ba63-94f8-4870-8132-eab7b384104c · outbound
This paper cites Burgner-Kahrs, D.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Burgner-Kahrs, D
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.317497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c95afc7-c8c4-4a63-9d87-79119ea5ef95 · outbound
This paper cites Papadakis, Terrain traversability analysis methods for unmanned ground vehicles: A survey, Engineering Applications of Artificial In- telligence 26 (4) (2013) 1373–1385.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Papadakis, Terrain traversability analysis methods for unmanned ground vehicles: A survey, Engineering Applications of Artificial In- telligence 26 (4) (2013) 1373–1385
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.963247Z
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.
Observation f85da371-b173-4e7a-a2a8-b9c4d84f48ac · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.951753Z
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.
Observation 2fb715c0-7ad8-4727-9d95-7b9854f19212 · outbound
This paper cites Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.332884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 574a9d8f-d319-414b-adfc-e485b28efff2 · outbound
This paper cites Fernandes, J.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Fernandes, J
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.940200Z
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.
Observation 02a152c1-f76e-4a54-9f5b-d8fde41d7369 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.928735Z
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.
Observation 848806dd-14e2-4b7c-bbaf-8f41af6f3cc4 · outbound
This paper cites Riazi, O.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Riazi, O
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.915572Z
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.
Observation a136e1f2-02e4-4b82-b8d9-4f726ea58d8b · outbound
This paper cites Castellano-Quero, M.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Castellano-Quero, M
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.903352Z
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.
Observation d1d22b43-e614-4df1-ae10-6261b1529919 · outbound
This paper cites Chatti, R.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Chatti, R
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.889228Z
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.
Observation c9a432da-b990-4a01-a213-e0aa253016f1 · outbound
This paper cites Guiochet, M.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Guiochet, M
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.871586Z
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.
Observation 8b177d25-ddd5-45a6-bab1-73af4dc6f95b · outbound
This paper cites Afzaal, J.-A.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Afzaal, J.-A
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.366470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7b8439b-f1b9-43d3-97a9-86bbc40090c3 · outbound
This paper cites Frank, A.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Frank, A
Reference 15
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T21:56:24.371756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f28169e-8321-461c-b668-896c2d6065ef · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 16
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-10T21:56:24.973048Z
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.
Observation c82f73a7-ec37-4b24-ba63-8b8e0cef73d1 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.859063Z
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.
Observation c66b96c6-c77d-468e-b4e0-9b49cd24d40e · outbound
This paper cites Cully, J.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Cully, J
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.847328Z
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.
Observation 0cd12266-4185-4cd2-a078-dff20e58853c · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.834332Z
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.
Observation 221b2a51-0712-4f6c-976f-6c377023593c · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.403334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17bbddc1-e9fb-4023-9b84-bbcfa65ac5bd · outbound
This paper cites A Brief Survey of Deep Reinforcement Learning.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation A Brief Survey of Deep Reinforcement Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.407851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f43084be-a6d6-4e99-9207-64f40f84a9b4 · outbound
This paper cites Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.412368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4906cfff-99c4-40af-b0ba-4f8e5c96f1f6 · outbound
This paper cites Raziei, M.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Raziei, M
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.815191Z
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.
Observation 9b9a573b-1991-4f78-8b53-817f69e0cc3c · outbound
This paper cites Bengio, S.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Bengio, S
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.804359Z
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.
Observation 49dd5d88-e228-4029-a479-6c5cdf38e22e · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.791336Z
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.
Observation 3cb76441-0d20-4820-8759-3385ca804e5c · outbound
This paper cites Robust Scheduling with GFlowNets.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Robust Scheduling with GFlowNets
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.428126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3e62651-bddd-4188-a633-76d43994a518 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.779501Z
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.
Observation b34f6e19-2678-48ad-8929-d872713d501d · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.767048Z
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.
Observation af0516f1-ef1b-414e-ad44-ef06d19a52f0 · outbound
This paper cites Fujimoto, H.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Fujimoto, H
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.755570Z
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.
Observation c4100ff6-b7ab-4bb1-a021-3221c72cdf27 · outbound
This paper cites Schulman, F.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Schulman, F
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.742967Z
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.
Observation 20558cde-11b3-4335-8578-9e5dedab8a0c · outbound
This paper cites Soft Actor-Critic Algorithms and Applications.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Soft Actor-Critic Algorithms and Applications
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.450846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9a240c1-67a0-427d-bd39-1d057204f621 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.730421Z
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.
Observation a02fb6a0-9aeb-4693-b27b-f95e4c249e6c · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.718121Z
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.
Observation d6c0f824-a371-436f-a3c5-98d16b47735b · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.706266Z
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.
Observation 58176e94-a97a-4e3c-8e72-b7b76974c82b · outbound
This paper cites Trajectory balance: Improved credit assignment in GFlowNets.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Trajectory balance: Improved credit assignment in GFlowNets
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.469315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84723aca-c726-4322-93e8-3c35fe5e10cd · outbound
This paper cites Bengio, K.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Bengio, K
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.693761Z
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.
Observation 08746cb3-dadf-4432-8931-653ce5f7f106 · outbound
This paper cites Chatzilygeroudis, V.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Chatzilygeroudis, V
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.681468Z
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.
Observation 953e1234-0843-42f2-aeaf-9ccafb046f9a · outbound
This paper cites Complementary Meta-Reinforcement Learning for Fault-Adaptive Control.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:56:24.784178Z
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.
Observation 44cf158b-23e7-457e-b2d8-661c24e7bc78 · outbound
This paper cites MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.489158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ad7e04f-c759-4a20-b561-f96cb30dd724 · outbound
This paper cites Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.495902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1ab3293-e083-4172-a9c2-32cba3810618 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.500994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce26cc0f-4793-4b13-bcab-ce8e7be52cd2 · outbound
This paper cites Accuracy-based Curriculum Learning in Deep Reinforcement Learning.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.505656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4abb8857-61a3-48f3-be5e-76f7242270bf · outbound
This paper cites Concurrent Meta Reinforcement Learning.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Concurrent Meta Reinforcement Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.513260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0986bc53-8326-4f0d-9f63-f094504ce734 · outbound
This paper cites OpenAI Gym.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation OpenAI Gym
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.518528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56551e4b-f632-43fc-99cd-233bcc8e00dd · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.663282Z
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.
Observation 7d6a0534-bc5b-43ee-a7f7-bb506c5eb59c · outbound
This paper cites Robots, Working of robotic arm: How does a robotic arm work?, accessed: 2023-04-15 (2022).
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Robots, Working of robotic arm: How does a robotic arm work?, accessed: 2023-04-15 (2022)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.652295Z
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.
Observation 96e49f9d-5f58-40fb-a3b4-6890fcf99869 · outbound
This paper cites Robots, About universal robots, accessed: 2023-04-15 (2022).
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Robots, About universal robots, accessed: 2023-04-15 (2022)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.641154Z
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.
Observation 51c4387f-2c01-46a2-baa2-965497560833 · outbound
This paper cites Limited, Friction model of industrial robot joint with temperature correction by example of kuka kr10, Hindawi Publishing Corporation (2023).
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Limited, Friction model of industrial robot joint with temperature correction by example of kuka kr10, Hindawi Publishing Corporation (2023)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.629194Z
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.
Observation feb1b798-d05e-4a8f-85c7-d258ea5dc54f · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.618001Z
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.
Observation f15eeb27-9679-4851-8289-1ac0e81b4656 · outbound
This paper cites Ferretti, G.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Ferretti, G
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.606780Z
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.
Observation 5f04af3f-71c5-4254-a4dd-696962e0eca7 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.595130Z
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.
Observation 8883e0a5-610c-4704-8c56-f8b59d060ba4 · outbound
This paper cites America, 5 servo motor failure causes & how to prevent them, KEB America InsightsAccessed: 2024-04-15 (2023).
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation America, 5 servo motor failure causes & how to prevent them, KEB America InsightsAccessed: 2024-04-15 (2023)
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.584240Z
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.
Observation e050e744-4348-4ef6-bec4-dcac9a8b9a66 · outbound
This paper cites Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:56:24.676832Z
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.
Observation 77046631-bbfd-4407-9fb3-3b6b94a23e0a · outbound
This paper cites Yarats, I.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Yarats, I
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.571756Z
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.
Observation 45b3deca-d987-4077-a18c-227918cf7975 · outbound
This paper cites Raffin, A.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Raffin, A
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.560434Z
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.
Observation 2f2f5828-4238-4372-a018-241c3ad6916c · outbound
This paper cites Asynchronous Methods for Deep Reinforcement Learning.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Asynchronous Methods for Deep Reinforcement Learning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:24.577130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9c2dd70-ae2a-454a-b557-8219f548a93c · outbound
This paper cites Niroui, K.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Niroui, K
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.549042Z
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.
Observation a21f4621-adca-4baa-abcd-22ad22b49713 · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.537318Z
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.
Observation ba8a9c3b-4850-4a9e-8319-625a7cc530c9 · outbound
This paper cites Marculescu, D.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Marculescu, D
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.525847Z
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.
Observation a4468e37-a484-4541-93fd-a1e49329ebcd · outbound
This paper cites Paleyes, R.-G.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Paleyes, R.-G
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.513181Z
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.
Observation 40fc0c53-dad3-4fa0-aa86-4dd524681df9 · outbound
This paper cites Queeney, I.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Queeney, I
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.501463Z
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.
Observation b153cd23-e7a2-4d2f-8ec1-86a7bf5b3d07 · outbound
This paper cites Henderson, R.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Henderson, R
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.489697Z
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.
Observation 5c848fd4-4f2d-454d-b33a-1164b54d6770 · outbound
This paper cites Matheson, R.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Matheson, R
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:56:25.476948Z
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.
Observation 392f6d55-e3e7-40c5-a3cc-4ea75594e23c · outbound
This paper cites an unresolved cited work.
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:56:25.464212Z
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.
Pith citing papers
No inbound Pith citation observations are available.