Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Zero-Shot Object Counting with Language-Vision Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.13097.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:52.770034Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T08:53:16.424016Z
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 d6665ee3-f423-49b6-88c7-d9901aff327f · inbound
Expanding Zero-Shot Object Counting with Rich Prompts cites this paper.
Expanding Zero-Shot Object Counting with Rich Prompts Zero-Shot Object Counting with Language-Vision Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:52.770034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4a7fc89-5a06-40fb-88d7-7bc31682084c · inbound
Improving Contrastive Learning for Referring Expression Counting cites this paper.
Improving Contrastive Learning for Referring Expression Counting Zero-Shot Object Counting with Language-Vision Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:03:59.651615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a11c0d4-daf3-4c4b-80d6-be9164e9065d · inbound
Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning cites this paper.
Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning Zero-Shot Object Counting with Language-Vision Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:53:16.425469Z
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.