Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2511.18203.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T00:18:08.485089Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T00:27:51.729011Z
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 eb7befa3-62dd-4c6f-95e7-4cd257c74986 · inbound
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning cites this paper.
Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
Reference 145
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T18:38:52.797665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation d1983bf4-0c7f-4c52-8c22-ed75e015f7cc · inbound
Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures cites this paper.
Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T21:48:59.201661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.
Observation 53dd7a60-7222-42bd-8464-429305c1a299 · inbound
Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning cites this paper.
Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T00:27:51.751860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.