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Paper Citation Record · LEDGER

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.18416.

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

pith.paper-citation-record.v1
2410.18416 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:08:57.775712Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:53:11.247226Z

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 01ce1ec7-c6fc-4f6b-b611-6fa13d27f116 · inbound

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training cites this paper.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:53:11.347497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T10:53:07.471751Z digest=sha256:2caa0148bd1cc474b061b51c82625effa0699afbc7f09b3347826ce80ac3de4a

Observation ab647d79-9f06-4026-9b1c-579382e48674 · inbound

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations cites this paper.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T17:08:57.775712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.775712Z digest=sha256:e9b801ad743cd0058925070cff77093fb977f1e8e52bd049ee0f4947f2b5669d