Paper Citation Record · LEDGER

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.17856.

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

pith.paper-citation-record.v1
2410.17856 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:34.911132Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T14:08:35.449603Z

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 fc446dac-f8b0-4b48-bb53-0c0c41cacc51 · inbound

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft cites this paper.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:34.911132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df3b939-8509-4990-82ef-591ebf35e9ca · inbound

MineStudio: A Streamlined Package for Minecraft AI Agent Development cites this paper.

MineStudio: A Streamlined Package for Minecraft AI Agent Development ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T04:51:58.221915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241877b7-8e07-4b7e-84af-0e10c8231f03 · inbound

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding cites this paper.

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:54.503650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff0c9f6-a059-40f0-9f0d-b4d39f980d5f · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:08:35.452394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ee15e57-8e18-4510-9169-2f3db6f381a4 · inbound

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents cites this paper.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:06.447661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54b6c49-67e8-47b2-a459-8f3061af5856 · inbound

Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning cites this paper.

Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T17:30:50.256122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.