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Paper Citation Record · LEDGER

GraphNarrator: Generating Textual Explanations for Graph Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.15268.

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

pith.paper-citation-record.v1
2410.15268 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:17:07.502476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:44:39.658187Z

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 8add35a7-d315-4c68-a1c4-4c6cc4f2ab2d · inbound

How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives cites this paper.

How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives GraphNarrator: Generating Textual Explanations for Graph Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T16:17:07.502476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:17:07.502476Z digest=sha256:6aa57a055f87c701a7dadc1c79c84f36f54521cd4b650f4aa16a5ae67c1cdec2

Observation 51295d19-e067-45ea-8271-8ab4314e4c93 · inbound

Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues cites this paper.

Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues GraphNarrator: Generating Textual Explanations for Graph Neural Networks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:30:17.672231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T21:30:03.714871Z digest=sha256:d2c6f4b7c995c68be7bfd408117d48dca46096e744aaa1c4d6aaea1d74cc2e78

Observation 7e3b996b-934f-46b5-8a5a-db49036449fa · inbound

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models cites this paper.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models GraphNarrator: Generating Textual Explanations for Graph Neural Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.659675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:62e967e250039c84d18abd43ab3d4d230d77457e5b86b9fb6c6f0418fe89cd7b