Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.11087.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:59.762345Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T15:47:23.334241Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation d3e91e9b-6ceb-4084-807e-582139deaa96 · inbound
Diffusion Instruction Tuning Locality Alignment Improves Vision-Language Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 342fac08-527d-41f1-9fe7-e2b424d58ddb · inbound
VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization Locality Alignment Improves Vision-Language Models
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c6147ea-3d37-4d5d-868a-5cdecb94e8f2 · inbound
Latent Denoising Improves Visual Alignment in Large Multimodal Models Locality Alignment Improves Vision-Language Models
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4cc31d94-16ef-4d7f-97d3-c6e2fc3ec27f · inbound
Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs Locality Alignment Improves Vision-Language Models
Reference 99
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d08a778f-34df-4e51-9e5f-9aa63fab502a · inbound
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Locality Alignment Improves Vision-Language Models
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.