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Paper Citation Record · LEDGER

Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1609.03675.

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

pith.paper-citation-record.v1
1609.03675 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:38:27.179979Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:21:34.242088Z

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 1006a1ab-fe6c-42a8-8ab3-0aed469ee716 · inbound

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks cites this paper.

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T15:24:34.557054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:24:34.557054Z digest=sha256:44156b2554ff584e00de08dc9aaab915dd265dec893e0e860993e109ae14221f

Observation d7627f6f-cf9c-410f-9737-5d3b24684e8f · inbound

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation cites this paper.

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T13:59:28.428307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:59:28.428307Z digest=sha256:071ffec34b03f7be5941ea57a1e92d07ab12d377681545a566f3cd8016403d2e

Observation 34fe1015-43b0-460b-a691-3f71360d94c7 · inbound

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures cites this paper.

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:21:34.246407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T23:21:33.843776Z digest=sha256:fe63be14ffd7968b1d321f0c99d64851191dc1916cb4ea29a381ea5fc0794eab

Observation a3f53151-0f7b-48fa-928b-ea14ce837f1b · inbound

Robust OOD Graph Learning via Mean Constraints and Noise Reduction cites this paper.

Robust OOD Graph Learning via Mean Constraints and Noise Reduction Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T18:38:27.179979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:38:27.179979Z digest=sha256:6434f883c8c952f0a8418febe3790ed288450e7adc25b4480b59de944b850285