Paper Citation Record · LEDGER

Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14987.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.14987 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:46:35.888082Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T04:55:43.403603Z

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 f18ccc3d-8134-465c-bce5-55550416341c · inbound

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go cites this paper.

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:35.888082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff295801-40ee-41c8-a83c-82de71217701 · inbound

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model cites this paper.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:58.792370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 709971f4-7b05-433e-ba00-6a6a01ba3bb9 · inbound

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges cites this paper.

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 268

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:23.970990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc1f010-6d88-42ac-bb52-b72adb2e66a7 · inbound

Towards Efficient and Effective Alignment of Large Language Models cites this paper.

Towards Efficient and Effective Alignment of Large Language Models Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 210

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:55:43.411707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.