Paper Citation Record · LEDGER

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2506.10629.

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

pith.paper-citation-record.v1
2506.10629 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:31:00.424146Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:57:00.816877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:06:04.928123Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3230c933-3f94-4162-a43b-7819fbfb33dc · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.633043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e15e6a9-de1e-40a9-bbb5-6d02c350e053 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.622334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70af8e1c-a1b2-44d8-bf3b-2b4aa76366ae · outbound

This paper cites largest circle.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning largest circle

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.572337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5de5cf6-a7b8-4765-8c2e-45d863830dcd · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.611339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73c83a87-d3b6-4a75-8c9f-8fb98d79050b · outbound

This paper cites Both could commonly happen in high-dimensional practical environments.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Both could commonly happen in high-dimensional practical environments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.601846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87ad6aaa-a548-4c30-8125-0b66877a0f62 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.592290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ea55abf-bfcf-46d4-b8e9-56d79d02e8f0 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.582190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce5284a9-6783-4113-9061-ddc1726f8f64 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.562721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56248379-1c1d-4848-b916-fe17b74627f8 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.552434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0747a956-65d9-4eb6-ba6e-5ff75aed208e · outbound

This paper cites distance.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning distance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.542139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6aacd128-42e3-44dd-9470-0f68df9e1f08 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.531060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e027c5db-b2cc-4120-a1e8-17ae256b9408 · outbound

This paper cites circle" centered at [0.2, 0.4, 0.4] with a maximum.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning circle" centered at [0.2, 0.4, 0.4] with a maximum

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.520406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4974ed51-7425-4ad9-8411-34fdb4d8f3c8 · outbound

This paper cites (2022), MISL objective is equivalent to minp(S) maxz DKL(p(S|z) ∥ p(S)).

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning (2022), MISL objective is equivalent to minp(S) maxz DKL(p(S|z) ∥ p(S))

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.510270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed30f53c-8f19-4604-9b93-467205259752 · outbound

This paper cites an unresolved cited work.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:31:00.497773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4fbf860b-1c49-4ba7-8882-ade3bc0989f3 · outbound

This paper cites center", the.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning center", the

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:31:00.487466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9bf507c-928b-48e4-a901-230f718915e9 · outbound

This paper cites CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

Reference 508

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:00.259917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d280e65-99a7-48d4-9950-55ccffc929dd · outbound

This paper cites Primal Wasserstein Imitation Learning.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Primal Wasserstein Imitation Learning

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:00.254927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d42d60-eecd-4f39-a7e8-12676f1f273d · outbound

This paper cites distance.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning distance

Reference 2019

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T04:31:00.476542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation daaa26ea-fe07-4cce-9e16-de7d81188b90 · 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 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:00.816877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368f9642-7db7-4608-8f62-d57e84ce3c6d · inbound

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement cites this paper.

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:06:04.931977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.