Paper Citation Record · LEDGER

METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.08887.

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

pith.paper-citation-record.v1
2310.08887 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:21:18.353849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:27:14.570848Z

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 25988992-dc49-4b2d-b2c8-54d202233e5e · inbound

Exploratory Diffusion Model for Unsupervised Reinforcement Learning cites this paper.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T13:21:18.353849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9623f91d-a38e-4822-b268-deb1e410a141 · inbound

RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming cites this paper.

RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red Teaming METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:20.265825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e76a296-9775-4191-ab8d-63ec918e10ff · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:27:14.573252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f604d288-2360-4d34-ba4f-800fe8a22f7a · inbound

Epistemically-guided forward-backward exploration cites this paper.

Epistemically-guided forward-backward exploration METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:34.678091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d030a42-b5d0-458d-be0b-23a1588a26c5 · 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 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:57.311531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 533c15a0-d5e0-4261-8f66-ea63d7bc46e9 · 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 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:59:52.386432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3229d77-adde-40a5-a670-54c71870b36e · inbound

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization cites this paper.

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:10.767794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66053585-32d9-4b01-ab26-8dc344af41b2 · 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 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.126769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.