Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1207.1420.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:12:47.137010Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-15T00:19:35.463705Z
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 d0544e92-937b-44e1-b1f1-6b27ff3fdc23 · inbound
TextOnly: A Unified Function Portal for Text-Related Functions on Smartphones cites this paper.
TextOnly: A Unified Function Portal for Text-Related Functions on Smartphones Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:12:47.137010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbbe6a76-0f75-472b-8b77-7943319648c5 · inbound
NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models cites this paper.
NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:52:16.585773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcef75e5-0129-4326-a596-78bc74f693b7 · inbound
Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions cites this paper.
Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T00:19:35.465073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.