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Paper Citation Record · LEDGER

Reward-Free Curricula for Training Robust World Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.09205.

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

pith.paper-citation-record.v1
2306.09205 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:37:29.842674Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:41:54.189087Z

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 5fa2d049-55b7-4a56-84ab-d202e194b77c · inbound

Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation cites this paper.

Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation Reward-Free Curricula for Training Robust World Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:41:54.197497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:41:54.048209Z digest=sha256:9c716f67f68de55473cd35360d230bfe468fe54a1e6f726f17773e890f182346

Observation 09b5a9d9-404b-451b-8af9-e16407be0569 · inbound

Zero-Shot Reinforcement Learning Under Partial Observability cites this paper.

Zero-Shot Reinforcement Learning Under Partial Observability Reward-Free Curricula for Training Robust World Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T19:37:29.842674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:37:29.842674Z digest=sha256:2c94144cec5b7b332a2da2b19b87038b75616bc6c0f289762cb206190ea068f4