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Paper Citation Record · LEDGER

Stabilizing Unsupervised Environment Design with a Learned Adversary

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.10797.

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

pith.paper-citation-record.v1
2308.10797 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:44:06.345940Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T18:17:30.094366Z

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 aa25cfd7-3be6-4a19-a47f-a39a54b5c8ff · inbound

Syllabus: Portable Curricula for Reinforcement Learning Agents cites this paper.

Syllabus: Portable Curricula for Reinforcement Learning Agents Stabilizing Unsupervised Environment Design with a Learned Adversary

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T18:44:06.345940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:44:06.345940Z digest=sha256:9c6a9b3c3b511f4332d6246b527978e42ab6e0774f6a30819e97dd8a451bb93a

Observation baf9d868-a142-49ee-8c0c-927d92fa3212 · inbound

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design cites this paper.

Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Stabilizing Unsupervised Environment Design with a Learned Adversary

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:17:30.098527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T18:17:14.699554Z digest=sha256:f74b7c2f4f83485d857369b446e0671615ece3becfb46a82cd75d5e73dd6993f