Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.16671.
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 2026-08-07T14:55:58.463714Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:43:43.512247Z
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 7ca4bd9b-78ad-47f6-9196-1f9749e3c247 · inbound
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:55:58.463714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf68531f-6168-4fb1-a084-13cfd9a4760b · inbound
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Reference 170
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:48.490638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0f628d1-6524-4a89-981d-22a924a23cd1 · inbound
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience cites this paper.
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:02:01.782673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 139c428e-5cc1-402e-8960-e89ea8d5e0fd · inbound
Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.
Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:03:48.478414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77b381e8-0018-4080-8cde-eaf515687316 · inbound
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering cites this paper.
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Reference 40
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T12:43:43.631400Z
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.