Paper Citation Record · LEDGER

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.23208.

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

pith.paper-citation-record.v1
2410.23208 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:37:38.454445Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T15:45:48.346998Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb5be938-0bb8-4f93-83eb-9ff633760615 · inbound

Real-Time Execution of Action Chunking Flow Policies cites this paper.

Real-Time Execution of Action Chunking Flow Policies Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:18:51.793334Z

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.

Observation 91a7dede-a7d5-4533-951c-1cac8821bb41 · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.822696Z

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.

Observation e634471e-027f-43d2-a77b-36ffc11d8b5e · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T05:37:38.454445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f068f8c5-a260-429a-a3cb-6ec93fe5ea20 · inbound

Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments cites this paper.

Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T18:45:22.786428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c56108-ba07-4fad-89e3-26a9f7371aba · inbound

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors cites this paper.

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:46:12.083893Z

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.

Observation ed7e3d15-e3ad-4002-9e19-486332fc02d8 · inbound

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors cites this paper.

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:35:33.482512Z

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.

Observation 5a0b0a94-f647-47ba-bff5-9f0c39348d56 · inbound

Understanding Asynchronous Inference Methods for Vision-Language-Action Models cites this paper.

Understanding Asynchronous Inference Methods for Vision-Language-Action Models Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:46:13.819102Z

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.

Observation 7d22abfe-ce9f-4e39-b8dc-cfa365bc10ae · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:00:21.489363Z

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.

Observation e2046321-f871-4d66-ae58-c50af6e98a11 · inbound

Action-Prior Denoising for Smooth Real-Time Chunking cites this paper.

Action-Prior Denoising for Smooth Real-Time Chunking Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:03:59.954457Z

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.

Observation 80afbc37-0286-4090-919e-53cf44a25cec · inbound

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks cites this paper.

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.348484Z

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.

Observation ea4465a2-4fa3-4406-8438-6a889ad42884 · inbound

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks cites this paper.

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:39.998833Z

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.

Observation 51de2562-84e5-498d-b00f-6f6ebb45fb84 · inbound

Reflex: Real-Time VLA Control through Streaming Inference cites this paper.

Reflex: Real-Time VLA Control through Streaming Inference Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:26:09.231278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.