Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.12869.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:37:25.163198Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T13:32:17.607043Z
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 540f1e26-f7d9-4029-add6-37a615462dfa · inbound
Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.
Retrieval-Augmented Generation for AI-Generated Content: A Survey Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Reference 294
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:32:17.608842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e6bb4100-54c7-4c33-8fb9-575df78561e7 · inbound
An Extensive Study on Text Serialization Formats and Methods cites this paper.
An Extensive Study on Text Serialization Formats and Methods Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:37:25.163198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa51da98-49ac-4a6e-92ec-367f48b86e2b · inbound
PG-Agent: An Agent Powered by Page Graph cites this paper.
PG-Agent: An Agent Powered by Page Graph Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:29:42.899450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.