Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14732.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:22:30.731724Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T09:21:10.743061Z
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 c92a6160-50a3-4bfb-8075-c98e7d611d56 · inbound
Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources cites this paper.
Multi-granular Training Strategies for Robust Multi-hop Reasoning Over Noisy and Heterogeneous Knowledge Sources TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:22:30.731724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd702a8f-5c22-46f7-8d1e-02968d455bfc · inbound
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering cites this paper.
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:12:50.290909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51c2e409-c0c2-40df-9d5b-3ca08e917330 · inbound
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation cites this paper.
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:21:10.745526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation aba24f25-8412-4788-a37e-ce176494b333 · inbound
RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.
RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T04:55:54.043929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.