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Paper Citation Record · LEDGER

Self-Correcting Models for Model-Based Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1612.06018.

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

pith.paper-citation-record.v1
1612.06018 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:59:30.075418Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T18:00:01.590778Z

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 99dfba1d-297c-4649-84f8-10bac168441f · inbound

World Models in Pieces: Structural Certification for General Agents cites this paper.

World Models in Pieces: Structural Certification for General Agents Self-Correcting Models for Model-Based Reinforcement Learning

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T18:00:01.592017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-25T23:04:11.950176Z digest=sha256:473af5072c8e0e5e959361cac2cbdbe4f26a21ad77151f8e0e1d5c72909a4ea8

Observation 1cefa4cd-3179-4da4-b099-35c19afcc944 · inbound

Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction cites this paper.

Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction Self-Correcting Models for Model-Based Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T04:59:30.075418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:59:30.075418Z digest=sha256:3ba1e46727bdfd6493953670cd42dcb61d0c4cc046380c56fe5eff7726560eac