Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.14071.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:45:26.425121Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:31:16.269375Z
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 2b2fd7ac-43cd-4335-9b36-25aaee936410 · inbound
VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models cites this paper.
VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:45:26.425121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6092d87a-c1bf-4fb3-aa3c-e8ea842bf7e5 · inbound
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models cites this paper.
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:31:16.272701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80f05176-4831-4e3c-a3bd-126c5f59d985 · inbound
Do Unified Multimodal Models Think in One Space? A Lens Through Cross-Branch Steering cites this paper.
Do Unified Multimodal Models Think in One Space? A Lens Through Cross-Branch Steering Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:36:39.333944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.