Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.00592.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:42.296583Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:36:42.656807Z
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 1cdc32e9-2e95-4aa5-b03f-d8cf4810b8dc · inbound
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising cites this paper.
Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:57:42.296583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e98d6e72-22a6-4d9d-b325-cca370e3337c · inbound
OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent cites this paper.
OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:36:42.757288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.