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Paper Citation Record · LEDGER

Evaluating and Improving Graph to Text Generation with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.14497.

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

pith.paper-citation-record.v1
2501.14497 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:12:29.435039Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:59:51.054759Z

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 79cc1587-5475-4820-b43b-00e479979c81 · inbound

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs cites this paper.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs Evaluating and Improving Graph to Text Generation with Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:29.435039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.435039Z digest=sha256:ffe739737e08cad1bd48869b6ca6b43b2b687d70fefbdf786dce503a565f686a

Observation 620b9141-4f45-4178-a831-edc2d6ee9bfb · inbound

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization cites this paper.

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization Evaluating and Improving Graph to Text Generation with Large Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:59:51.059354Z

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.

source=arxiv_source observed=2026-08-05T05:59:50.490435Z digest=sha256:8be1892ce9278c82af8f2d97bba9bb8a104ce1fbc8ca860571541b139121e5af