Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.07579.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:34:17.691270Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T16:30:09.723713Z
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 5053e8d3-daab-46fb-8011-e5ad0ab0c20c · inbound
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework cites this paper.
Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:34:17.691270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa73d3af-1194-4100-ada5-28e8e6a8577d · inbound
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T16:30:09.729833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.