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Paper Citation Record · LEDGER

Natural Language Generation for Advertising: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.12719.

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

pith.paper-citation-record.v1
2306.12719 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:24.929501Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:48:47.785524Z

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 42ee0881-eb7d-42cf-b40f-ae15cea766d0 · inbound

Exploring the Relationship Between Diversity and Quality in Ad Text Generation cites this paper.

Exploring the Relationship Between Diversity and Quality in Ad Text Generation Natural Language Generation for Advertising: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:24.929501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:05:24.929501Z digest=sha256:4abeff2f458453815d94899cdd731cac7d27761c767f46f46843476e204f93ea

Observation a1c6d74b-54a8-4770-b5c9-efb4c61910ce · inbound

AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset cites this paper.

AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset Natural Language Generation for Advertising: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:04.946096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:52:04.946096Z digest=sha256:e3775622411fa74ab77f523372eaadae4fc25bdbede499f1f050daa8c2283fdd

Observation 8a488906-d15a-421c-b481-d2ca969c8d6d · inbound

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization cites this paper.

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization Natural Language Generation for Advertising: A Survey

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:48:47.913665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T13:48:45.152618Z digest=sha256:6b2ef88bf6e053b0d50b4e3b8dda94a49527bfd59d1486852e4c15281befe20d