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Paper Citation Record · LEDGER

Locality Alignment Improves Vision-Language Models

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.

pith.paper-citation-record.v1
2410.11087 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:59.762345Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T15:47:23.334241Z

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 d3e91e9b-6ceb-4084-807e-582139deaa96 · inbound

Diffusion Instruction Tuning cites this paper.

Diffusion Instruction Tuning Locality Alignment Improves Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T11:20:02.847466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:20:02.847466Z digest=sha256:d5ade04c80860ce16ea90b64a5dc7354824100f5c030913e9dfc44e28f1013eb

Observation 342fac08-527d-41f1-9fe7-e2b424d58ddb · inbound

VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization cites this paper.

VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization Locality Alignment Improves Vision-Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:07:59.762345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:59.762345Z digest=sha256:ae339e1bac2b135eb26d486818cc168a6f221107c2b2a90a90ed424c02249a77

Observation 7c6147ea-3d37-4d5d-868a-5cdecb94e8f2 · inbound

Latent Denoising Improves Visual Alignment in Large Multimodal Models cites this paper.

Latent Denoising Improves Visual Alignment in Large Multimodal Models Locality Alignment Improves Vision-Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:09:26.720215Z

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.

source=pdf_text observed=2026-05-09T23:07:54.806529Z digest=sha256:2ddd38c69f61baf727b4ba2cdd1122e15b8ad8bb385fa5b7a05f9d00e72728bc

Observation 4cc31d94-16ef-4d7f-97d3-c6e2fc3ec27f · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs Locality Alignment Improves Vision-Language Models

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:47.605247Z

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.

source=pdf_text observed=2026-06-30T01:22:16.176398Z digest=sha256:09ac975a45c93ce9cb8159eea1d18c5529a2eb0c783f3eaee4e79ecd6d46588a

Observation d08a778f-34df-4e51-9e5f-9aa63fab502a · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Locality Alignment Improves Vision-Language Models

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T15:47:23.335377Z

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.

source=arxiv_source observed=2026-07-10T15:38:58.361411Z digest=sha256:e9bc223c1280d9c6c92f040da7d258eb009a7d9593741822cc5ff77950e3f4f9