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Paper Citation Record · LEDGER

Learning to Jump from Pixels

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.15344.

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

pith.paper-citation-record.v1
2110.15344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:48:52.243639Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:59:13.798220Z

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 3c867038-bd9d-461b-950d-c5e81c6a6942 · inbound

Reinforcement Learning from Wild Animal Videos cites this paper.

Reinforcement Learning from Wild Animal Videos Learning to Jump from Pixels

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T21:37:57.492199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:37:57.492199Z digest=sha256:2123f3b12afc8fb455f3d0c2f54101aa52254b0d0736cfa3f31988d23451cfc7

Observation 5b2671db-9fd3-4f85-ab19-4f5e5a24a75a · inbound

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? cites this paper.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Learning to Jump from Pixels

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T12:59:13.803315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T12:59:13.653611Z digest=sha256:f435c4bcdf617c5976c6461b505e72f0e83d0441e88dbae30a8782062a2db164

Observation c62ab2a0-a470-4bf5-b6dd-265aa0e3c84e · inbound

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control cites this paper.

AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control Learning to Jump from Pixels

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T23:48:52.243639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:48:52.243639Z digest=sha256:43bfa147da43610a2ef584c1623bf2c573778b88a1c0f59ec3eb9771a229c783