Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.04735.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:44:49.581330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T20:55:04.577702Z
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 c2c88776-3aac-43d6-b35b-ceed2381d9cd · inbound
Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering cites this paper.
Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:44:49.581330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbf1bf78-2072-4123-88d9-1e1303d452f9 · inbound
Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA cites this paper.
Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T20:55:04.579027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.