Paper Citation Record · LEDGER

Learning High-Frequency Continuous Action Chunks in Latent Space

As of 11 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 2 inbound Pith citation observations for arXiv:2605.24931.

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

pith.paper-citation-record.v1
2605.24931 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:07:02.688596Z

measured 8 of 8 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:10:40.219622Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fd4cafa-7fdc-4faa-bc35-7b6dda8c7839 · outbound

This paper cites Low-frequency DP induces pronounced stop-and-go motion with sig- nificant velocity drops for each action, resulting in the highest end-to-end latency.

Learning High-Frequency Continuous Action Chunks in Latent Space Low-frequency DP induces pronounced stop-and-go motion with sig- nificant velocity drops for each action, resulting in the highest end-to-end latency

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52a2759-6405-49bf-9731-0b3450ad1645 · outbound

This paper cites Naive asynchronous strategies that ignore chunk-level continuity introduce large gaps during chunk switching, which translate into execution stalls and occasional rollback.

Learning High-Frequency Continuous Action Chunks in Latent Space Naive asynchronous strategies that ignore chunk-level continuity introduce large gaps during chunk switching, which translate into execution stalls and occasional rollback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d2eb6e-5ea6-4685-8d4f-b5dcbc40fc00 · outbound

This paper cites OFT trained in the action space ex- hibits significantly higher jitter, whereas latent-space training substantially improves trajectory smoothness.

Learning High-Frequency Continuous Action Chunks in Latent Space OFT trained in the action space ex- hibits significantly higher jitter, whereas latent-space training substantially improves trajectory smoothness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80d4104-af6e-4d84-9123-e6b7ad2d1cb8 · outbound

This paper cites an unresolved cited work.

Learning High-Frequency Continuous Action Chunks in Latent Space Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a24168c-dd62-4bc9-b1de-da39bce6ce63 · outbound

This paper cites Higher success rate is better (↑).

Learning High-Frequency Continuous Action Chunks in Latent Space Higher success rate is better (↑)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06b75f2-e81a-4602-8970-07b164ace786 · outbound

This paper cites RT-C improves chunk-level continuity relative to the original high- frequency PI0.5 policy, reducing stalls and rollback caused by discontinuities.

Learning High-Frequency Continuous Action Chunks in Latent Space RT-C improves chunk-level continuity relative to the original high- frequency PI0.5 policy, reducing stalls and rollback caused by discontinuities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T01:07:02.688596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f998e733-2138-42cf-805c-df368f94398e · inbound

Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids cites this paper.

Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids Learning High-Frequency Continuous Action Chunks in Latent Space

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:40.219622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4553a8e2-93ca-4709-9481-54db9984b7ef · inbound

FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation cites this paper.

FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation Learning High-Frequency Continuous Action Chunks in Latent Space

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T02:45:35.575172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.