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Paper Citation Record · LEDGER

Controllability-Aware Unsupervised Skill Discovery

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.05103.

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

pith.paper-citation-record.v1
2302.05103 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:07.654039Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:59:52.807519Z

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 837347a1-e316-439d-8e6f-04414d2fd439 · 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 Controllability-Aware Unsupervised Skill Discovery

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:07.654039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:07.654039Z digest=sha256:f8c3c1ac19630e9bee89461a30b82b33296ac7cdf98f39f26f3a3e82ab2bb12d

Observation 2b930376-b3a1-4e4f-8d88-e3bbeb837eb2 · inbound

Epistemically-guided forward-backward exploration cites this paper.

Epistemically-guided forward-backward exploration Controllability-Aware Unsupervised Skill Discovery

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:34.611173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:34.611173Z digest=sha256:5c727bd4258d84596f6864a07cdc95efe1f9ddc68a52a786c759d23f345aa2b5

Observation 002d4c57-3123-40c7-804b-66561d9caf76 · inbound

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning cites this paper.

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Controllability-Aware Unsupervised Skill Discovery

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:57.250665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:57.250665Z digest=sha256:3dd381f12fbf054b991ca9e92ad977ffcca2c9644f41bb156d84c85c61106647

Observation f9eecffb-286d-4387-9409-f136fb4c9066 · inbound

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity cites this paper.

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity Controllability-Aware Unsupervised Skill Discovery

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:59:52.813224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:59:52.380734Z digest=sha256:83870cc62dc96da3b33088bb52a9c9697454d2aa965cdebc83e07990c92149e2

Observation afafc6ee-0a74-4478-b5e8-73058b841c28 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Controllability-Aware Unsupervised Skill Discovery

Reference 201

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.123723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.123723Z digest=sha256:9c69ae96e81b247a4a521d4caff1a4ec91af9b11925333914b90794ffe4572aa