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Paper Citation Record · LEDGER

Compositional Vector Space Models for Knowledge Base Completion

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1504.06662.

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

pith.paper-citation-record.v1
1504.06662 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:33:17.446571Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:19:07.203943Z

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 cddb11f9-4063-41d1-961f-26b8635fa378 · inbound

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules cites this paper.

LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules Compositional Vector Space Models for Knowledge Base Completion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T12:33:17.446571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:33:17.446571Z digest=sha256:516aa710d26c37dc604da51d887ce51b9977db68034bb49f7f1cca7f71f0d130

Observation 28c4d7df-ed9d-4782-8210-6200387ab3a7 · inbound

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods cites this paper.

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods Compositional Vector Space Models for Knowledge Base Completion

Reference 166

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:19:07.300256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:18:55.236942Z digest=sha256:5fbe079a17ad82fc992b64166a2103fdf8395ec8457797b34406185908acca3a