Paper Citation Record · LEDGER

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability

As of 5 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2604.17217.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.17217 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:07:14.777423Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42c16bbc-9b9e-4286-9c6f-b9f99c5e74e4 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Learning transferable visual models from natural language supervision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.511019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 495b3b85-88a1-40ef-91de-31fa66285959 · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and genera- tion.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Blip: Bootstrapping language- image pre-training for unified vision-language understanding and genera- tion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.518436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d31927c-c891-4ac5-8fb7-f74d131b214a · outbound

This paper cites Words or vision: Do vision- language models have blind faith in text?.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Words or vision: Do vision- language models have blind faith in text?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.513206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8dfa6435-4080-4f8b-969e-35ff50ad6b73 · outbound

This paper cites Valse: A task-independent benchmark for vision and language models centered on linguistic phenomena.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Valse: A task-independent benchmark for vision and language models centered on linguistic phenomena

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.522739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5afcf3ba-b4a3-4e50-bbdd-189f784cbd83 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal large language models.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Eyes wide shut? exploring the visual shortcomings of multimodal large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.501852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5cd75047-3cc3-4863-8eff-f22e26898149 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Lora: Low-rank adaptation of large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.508513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9df88468-b785-46c9-a932-cbf3e9680faa · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.504051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9fd0d2f8-e8ce-47cd-b982-9fbec0e84f7b · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.516118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9ed0a166-cedb-430c-8bb9-b068c7bfad83 · outbound

This paper cites Don’t just assume; look and answer: Overcoming priors for visual question answering.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Don’t just assume; look and answer: Overcoming priors for visual question answering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.499632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a37ce52-8733-493f-b003-98be2b8f06a8 · outbound

This paper cites Debiasing Multimodal Large Language Models via Penalization of Language Priors.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.470966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f3e6003-e5ba-4bd3-a0fa-2823dbd25488 · outbound

This paper cites A survey on curriculum learning.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability A survey on curriculum learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.520596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad1abef5-997b-4e24-b3ed-c8e29e959581 · outbound

This paper cites Visual instruction tuning.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Visual instruction tuning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T14:30:14.506430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.