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Paper Citation Record · LEDGER

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1809.07426.

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

pith.paper-citation-record.v1
1809.07426 v1

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:02:36.520764Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:37:17.830102Z

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 75c87cea-96ab-4136-876f-8dc90e27f2bb · inbound

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T06:02:36.520764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:02:36.520764Z digest=sha256:5a052027fa5a5c676a3fb6c876b48261edfa08d30de55f87fafe09e98b4c2db3

Observation 118f1030-55bf-4b41-a0e0-091f31c9ea89 · inbound

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information cites this paper.

Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T20:10:03.517973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:03.517973Z digest=sha256:10e1f37e7fdbb39c997c106198a3fdf81cfcfad5fa19e537026d96f8d4e63cb2

Observation e52efa49-8ca9-4f96-8423-f9a700bd803f · inbound

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation cites this paper.

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:37:17.836477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T20:37:17.416846Z digest=sha256:b5034f2e4721cc04fbf6e443a0642da5d62c75dd8d2042c5eef4742894a5b7dd

Observation 7eff5e72-c27f-401a-8f4f-0385ea07232e · inbound

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation cites this paper.

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T04:15:18.396917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:15:18.396917Z digest=sha256:aa2032d54c9f4ee88557ef393ae9c65fb0f6bf552ea42284aec8f3ce10536573