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Paper Citation Record · LEDGER

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.06318.

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

pith.paper-citation-record.v1
2311.06318 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:33.488020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:32:17.612566Z

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 b85223ec-48aa-4a13-9391-f22f778481cf · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Reference 299

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.614065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:992c71e9ba8339d41ec26de2d1074ca71a48083d3ac7f99228e3638e9cdb0067

Observation 203ff6f2-786e-42f3-8e96-0a110e5c7e14 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.488020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.488020Z digest=sha256:2b985509a73f3dd96daf6f3e0ab4370aa18d11d629d0528bfad973a5f885a54d