Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.14361.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:38.569990Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:13:44.974674Z
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 9c736e01-ac00-42bc-9cdf-9ad5599aa88c · 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 OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:43:38.569990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e811de5e-1a94-4675-aec0-da6280734199 · inbound
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data cites this paper.
HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:41:25.666891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be282475-666b-448d-bdf5-f13193da3c4c · inbound
A Multi-Agent Approach for Claim Verification from Tabular Data Documents cites this paper.
A Multi-Agent Approach for Claim Verification from Tabular Data Documents OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:36:36.656863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69d52da6-2945-4450-9f1f-0d60c274ddd1 · inbound
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method cites this paper.
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:09:20.392260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 95145648-9bc5-4443-bc21-6bb4137f0163 · inbound
Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering cites this paper.
Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:13:44.976052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.