Pith. sign in

Paper Citation Record · LEDGER

Large Language Models as Zero-Shot Conversational Recommenders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.10053.

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

pith.paper-citation-record.v1
2308.10053 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:33:42.008292Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 960da9ec-05d6-449a-ad2c-4f7f70721dab · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Large Language Models as Zero-Shot Conversational Recommenders

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T02:17:16.415801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:17:16.415801Z digest=sha256:d866126604bebba7efc8e72f445fe2f480ef802f47bb6380f73d82a8ddcacfe9

Observation 966c5da4-8b81-4196-9ebc-ab4a710a9f59 · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Large Language Models as Zero-Shot Conversational Recommenders

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:42.008292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:42.008292Z digest=sha256:48bd4df2cec32419119e8fab02c6a7ee7ed35898059f8ec061af6bdde464ed10