Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:44.815260Z

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 2a19d5cf-4868-40ea-87dc-1670cee15ae1 · inbound

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? cites this paper.

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:14:44.815260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:44.815260Z digest=sha256:35e063b1b579a6df2afee8258436c67570a7aed843ab5a3c8a0f96f5989c1666

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T14:18:51.613045Z digest=sha256:18ba28e9528064f2c272bfeee2be216d142026794e3905c057b4ec6c9ecad9ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T07:41:48.634351Z digest=sha256:c97efab8e3be9e9863e817513af66180da028ab705f0861e866d9b4d7fdfa8a2

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.

source=pdf_text observed=2026-08-03T05:37:38.454445Z digest=sha256:52e3c400d4f0542eb2b381fa564f63e8e4785c678dd91c5afcb1d3d4401b9fa0

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.

source=arxiv_source observed=2026-08-02T18:45:22.786428Z digest=sha256:f8c83bb6dfe8ca7a7ec2e5239d3e3aa17543bd669696d9de63052af194c96a48

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T02:30:30.319810Z digest=sha256:6678e675d940b3b18af919f39d381359737c97f97fff672ecdd74a7524236ff5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T08:32:26.160039Z digest=sha256:0f96ba07e1eb71d94e0ea9fdce63e3571961232e33cf4388500170485a8e39c1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:44:13.931529Z digest=sha256:bdce01adab8fbf321e0d69c9e8da8e17b7d099cd66db6922a92df38e94ed6e4f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T04:59:48.867927Z digest=sha256:323ff91ba05dd0617ef554cc0a00120d392e03d794e5d0e9636fa5df5531c836

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T22:02:49.571482Z digest=sha256:bf7e3b3dce90556a8b328500703ba66f1053498549f79a28f5d7b4c1ee99cfd8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T01:10:12.636354Z digest=sha256:a0a7c17b1e3569805ad642e3ec6413963e36f560d590ed5a6dc91f62f5722f09

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:27:54.229184Z digest=sha256:2b1ad29dc2c16b907c1fc7b06552cc88ddb526bc16d0308254a4a964530c325e

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.

source=pdf_text observed=2026-08-02T01:26:09.231278Z digest=sha256:3428172698e8782c6ef09d51edb69c18947021f5be44176335a16a2217af6006