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Paper Citation Record · LEDGER

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.03322.

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

pith.paper-citation-record.v1
2309.03322 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:45:08.231480Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:53:06.697873Z

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 f6908ba4-07c1-41ce-a29b-a19df1ac8849 · inbound

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning cites this paper.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T16:45:08.231480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:45:08.231480Z digest=sha256:9f2f5c5e3a312ce77434bbd4ca91a0398bd376d61aee543643853004195a89ef

Observation 1199fad7-cb07-4c6f-8cdf-51107cddef73 · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:53:06.706386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T19:53:06.301304Z digest=sha256:5749215b3373c05a66309bb8b646b15fbd9a93749419d11159ab9a1338fb5bfa