Paper Citation Record · LEDGER

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.06714.

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

pith.paper-citation-record.v1
2509.06714 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:17:52.997124Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy10
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c6c90fd-7ab9-4913-afb6-a314dfb57db7 · outbound

This paper cites Mastering Atari Games with Limited Data.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Mastering Atari Games with Limited Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.930033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0ed7d4-ee9a-45aa-a5db-40db248b73c6 · outbound

This paper cites Benchmarking deep reinforcement learning for continuous control,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Benchmarking deep reinforcement learning for continuous control,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.437423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18cb8405-05ea-4bf5-808b-2629b29ce7b5 · outbound

This paper cites Challenges of Real-World Reinforcement Learning.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Challenges of Real-World Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.936919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1b1fb9-2eff-4342-af17-76a135ed5001 · outbound

This paper cites Deep rein- forcement learning in a handful of trials using probabilistic dynamics models,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Deep rein- forcement learning in a handful of trials using probabilistic dynamics models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.940309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79dc81a1-e6d5-48e5-87c3-59d3c67a005f · outbound

This paper cites pytorch implementation of PETS,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms pytorch implementation of PETS,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.422452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91d08693-7794-4eb0-a448-98289fa54a57 · outbound

This paper cites Temporal difference learning for model predictive control,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Temporal difference learning for model predictive control,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.413253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 548e413c-2f3b-4059-bf33-79a1ffd82d68 · outbound

This paper cites A tutorial on the cross-entropy method,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms A tutorial on the cross-entropy method,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.404379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d912b7dc-cd61-4b6d-ac16-2ac9599f30c3 · outbound

This paper cites Physics-informed model and hybrid planning for efficient dyna-style reinforcement learning,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Physics-informed model and hybrid planning for efficient dyna-style reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.395132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f429d61-5cef-4fc6-a29e-139f40dba3a5 · outbound

This paper cites Swing-up control of inverted pendulum using pseudo-state feedback,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Swing-up control of inverted pendulum using pseudo-state feedback,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.384561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0771da8d-6426-4dda-987e-382c391ab11e · outbound

This paper cites Exploring Model-based Planning with Policy Networks.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Exploring Model-based Planning with Policy Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.960328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06e1088-12c5-45ca-98b4-f21f0ac7a269 · outbound

This paper cites Blending MPC & Value Function Approximation for Efficient Reinforcement Learning.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.963414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c7ba73-8e9e-4eec-9d31-3881148487f2 · outbound

This paper cites Markov decision processes with delays and asynchronous cost collection,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Markov decision processes with delays and asynchronous cost collection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.375094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55e75dce-bca5-4cea-a543-0a9077aa5a68 · outbound

This paper cites Delay-aware model-based reinforcement learning for continuous control,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Delay-aware model-based reinforcement learning for continuous control,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.365601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 737389b3-d76b-49b6-bdfd-91c40f7c0d0d · outbound

This paper cites Reinforcement Learning with Random Delays.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Reinforcement Learning with Random Delays

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.975477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f0662c-5921-48e1-939e-f5f0d224bcf5 · outbound

This paper cites Real-time reinforcement learning,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Real-time reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.347779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9765e955-04fd-46fc-b5c1-b2eec546fc1c · outbound

This paper cites Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.985074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c94fc2-3f69-4c1a-996f-3e05f072397d · outbound

This paper cites Asynchronous reinforcement learning for real-time control of physical robots,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Asynchronous reinforcement learning for real-time control of physical robots,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:17:53.161264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a2b46ba-fbf4-420c-bf80-95161b1c80c2 · outbound

This paper cites Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.993979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4b97198-a9d4-4c58-863e-6e31743cf741 · outbound

This paper cites Addressing function approxi- mation error in actor-critic methods,.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Addressing function approxi- mation error in actor-critic methods,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.997124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.