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Paper Citation Record · LEDGER

Knowledge Graph Convolutional Networks for Recommender Systems

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.12575.

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

pith.paper-citation-record.v1
1904.12575 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:45:14.628304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:11:14.995811Z

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 9aa1fac2-2841-4696-92cb-5dcd2bdae3fc · inbound

GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model cites this paper.

GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model Knowledge Graph Convolutional Networks for Recommender Systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T13:45:14.628304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:45:14.628304Z digest=sha256:5ea21f76d3648a42b7749182f477f33ffcbf412500c6910d3945cb27cb524ce5

Observation a1ca15f2-ce4d-490a-81ac-0de853cfba93 · inbound

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs cites this paper.

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs Knowledge Graph Convolutional Networks for Recommender Systems

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:35:20.439708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T15:35:06.449564Z digest=sha256:bd6e038278f4b9bf4a82622ca3bfe5fbc1a5dfd4ec794135005a9f0f9eb37221