Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.00878.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:08.362718Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T08:17:10.823504Z
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 ebf29d89-010a-4d6c-b17e-c85e0e45ac5c · inbound
Your Demands Deserve More Bits: Referring Semantic Image Compression at Ultra-low Bitrate cites this paper.
Your Demands Deserve More Bits: Referring Semantic Image Compression at Ultra-low Bitrate Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:08:08.362718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6c20a2e-157e-43d4-bf76-7980d02cd033 · inbound
Interactive Interface For Semantic Segmentation Dataset Synthesis cites this paper.
Interactive Interface For Semantic Segmentation Dataset Synthesis Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:17:10.827375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e99a581-e5d0-4226-b63f-5398805a4cd3 · inbound
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation cites this paper.
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation Grounding Everything: Emerging Localization Properties in Vision-Language Transformers
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:18:42.385138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.