Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.12817.
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 2026-08-12T10:13:29.882984Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T14:06:21.320505Z
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 d140bdda-db4f-4397-b489-6a1a58f4cafe · inbound
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness cites this paper.
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:13:29.882984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0395102-8868-41d7-b161-4d7d0e53d2b7 · inbound
SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection cites this paper.
SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:47:10.364933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d2ebcf6-a30e-413b-af06-021d5a898ebf · inbound
Why Stop at Words? Unveiling the Bigger Picture through Line-Level OCR cites this paper.
Why Stop at Words? Unveiling the Bigger Picture through Line-Level OCR MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:06:21.325255Z
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.