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Paper Citation Record · LEDGER

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.09920.

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

pith.paper-citation-record.v1
1808.09920 v4

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:54:31.175090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:54:31.304344Z

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 1d186e4f-1d6b-403c-8ea3-1455605aa781 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:54:31.307222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:a49468009199d5b338b3b4a45b363097d81a68f90b9fbdb1a9ba9785559284e0

Observation d9f64ef5-fe9e-40fd-a893-085acf1c1289 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Reference 76

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:33:39.456847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:b746113f8d8f72d4b7236c02f319e3af03b7cd54fcf497789cb68956df70d070