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Paper Citation Record · LEDGER

Inductive Matrix Completion Based on Graph Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.12058.

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

pith.paper-citation-record.v1
1904.12058 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:37.711552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:15:01.252267Z

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 b9d2ef6f-aafc-491a-8919-f90aed1f18c3 · inbound

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems cites this paper.

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Inductive Matrix Completion Based on Graph Neural Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:37.711552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:37.711552Z digest=sha256:a219ab38fb878021b57de173f3465ae39f9cbaf86fad07979d722e50762e12cf

Observation 39a4453f-ef4d-440e-bd72-df22ad0f1dae · inbound

ModelLens: Finding the Best for Your Task from Myriads of Models cites this paper.

ModelLens: Finding the Best for Your Task from Myriads of Models Inductive Matrix Completion Based on Graph Neural Networks

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:59.465781Z

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=2026-05-11T01:55:57.223673Z digest=sha256:79af969d447a37892c8b1066733e712bee774ce57b6e5328544903a1201c8aae

Observation d37317e1-bb2b-4037-80c2-053b6d10733f · inbound

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering cites this paper.

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering Inductive Matrix Completion Based on Graph Neural Networks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:08:54.408339Z

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=2026-05-20T19:05:58.638818Z digest=sha256:42961ce91d6d893f51d6938bc1ab536a84639ee0356f6d4301703dccfbc170e8

Observation 472103e2-76be-4456-ad52-21a0b47d43f5 · inbound

Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.

Sample-efficient inductive matrix completion with noise and inexact side-information Inductive Matrix Completion Based on Graph Neural Networks

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:21.051818Z

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=2026-05-20T14:04:44.364824Z digest=sha256:69eb3d0477199c1511938de7192b65cfe4338634fd19920032516f687563f4e2

Observation 24258151-97ab-4ec5-b2ad-c740f7014ca1 · inbound

Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.

Sample-efficient inductive matrix completion with noise and inexact side-information Inductive Matrix Completion Based on Graph Neural Networks

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:15:01.253833Z

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=2026-06-30T18:55:27.301795Z digest=sha256:57a68a54a26d4805e23286045eaa18d0ba97bb0a5618ea6315129670eb7cd3b5