Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.12085.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:03:41.078191Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:56:42.234753Z
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 3e4dcd1d-847c-41fb-b75a-d72205561be1 · inbound
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation cites this paper.
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:03:41.078191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2e4e9d1-1a31-47e4-a176-7ed5d30c1c39 · inbound
LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Real-World Multilingual VQA cites this paper.
LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Real-World Multilingual VQA UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:56:42.238935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.