Paper Citation Record · LEDGER

Cross-modal Information Flow in Multimodal Large Language Models

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 7 inbound Pith citation observations for arXiv:2411.18620.

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

pith.paper-citation-record.v1
2411.18620 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:10.147882Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:10.027628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:02:17.731733Z

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy22
unresolved25
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94d4e1d1-55df-4aef-a79d-d5fdbb77f07b · outbound

This paper cites https : / / www.

Cross-modal Information Flow in Multimodal Large Language Models https : / / www

Reference 1

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Observation b93005f4-16e5-4816-8d8c-3f3374ffa350 · outbound

This paper cites https: //huggingface.co/lmms- lab/llama3- llava- next-8b, 2024.

Cross-modal Information Flow in Multimodal Large Language Models https: //huggingface.co/lmms- lab/llama3- llava- next-8b, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.823396Z

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Observation 656b0e57-6fb0-4515-80e9-c2ccddac5ba5 · outbound

This paper cites Vl-interpret: An interactive visualization tool for interpreting vision-language transformers.

Cross-modal Information Flow in Multimodal Large Language Models Vl-interpret: An interactive visualization tool for interpreting vision-language transformers

Reference 3

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Observation d663816d-610a-4413-b229-5146f384283c · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Cross-modal Information Flow in Multimodal Large Language Models GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 4

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Source-reported events for the cited work

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Observation 35af6b75-8de0-45d1-a119-2ea0f693bbd5 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond,.

Cross-modal Information Flow in Multimodal Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.801689Z

Source-reported events for the cited work

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Observation 8b5ca4c8-7f59-4eb3-a0c7-10259dca8f40 · outbound

This paper cites Understanding Information Storage and Transfer in Multi-modal Large Language Models.

Cross-modal Information Flow in Multimodal Large Language Models Understanding Information Storage and Transfer in Multi-modal Large Language Models

Reference 6

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Source-reported events for the cited work

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Observation 5679eee8-5e35-46a9-8d91-13f3d1c77669 · outbound

This paper cites Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models.

Cross-modal Information Flow in Multimodal Large Language Models Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:06:10.458456Z

Source-reported events for the cited work

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Observation a4c46df5-8b62-4585-9e3b-cf128bfcc9dc · outbound

This paper cites Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers.

Cross-modal Information Flow in Multimodal Large Language Models Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

Reference 8

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Observation ac4c82cb-e752-4536-b798-a8e0067ceac1 · outbound

This paper cites Probing multimodal embeddings for linguistic properties: the visual-semantic case.

Cross-modal Information Flow in Multimodal Large Language Models Probing multimodal embeddings for linguistic properties: the visual-semantic case

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.788524Z

Source-reported events for the cited work

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Observation 4bfa2db5-488c-44fb-baad-05e8fa16563f · outbound

This paper cites Knowledge Neurons in Pretrained Transformers.

Cross-modal Information Flow in Multimodal Large Language Models Knowledge Neurons in Pretrained Transformers

Reference 10

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Source-reported events for the cited work

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Observation c359de28-3689-433e-a264-2f747cfb7911 · outbound

This paper cites InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning,.

Cross-modal Information Flow in Multimodal Large Language Models InstructBLIP: Towards General- purpose Vision-Language Models with Instruction Tuning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:09.997576Z

Source-reported events for the cited work

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Observation 8ddc5ead-d7ef-44f1-805f-914c96ea8c55 · outbound

This paper cites Analyzing Transformers in Embedding Space.

Cross-modal Information Flow in Multimodal Large Language Models Analyzing Transformers in Embedding Space

Reference 12

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Observation 73934708-6a89-4f42-919c-c82c3fb29a1e · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Cross-modal Information Flow in Multimodal Large Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 13

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Observation 506a9b9d-a8d7-4a18-986f-01af989092a7 · outbound

This paper cites The Llama 3 Herd of Models.

Cross-modal Information Flow in Multimodal Large Language Models The Llama 3 Herd of Models

Reference 14

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Observation 9743b524-6887-4e46-b4df-1f50d94e4b79 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Cross-modal Information Flow in Multimodal Large Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation 9b3243e9-8b72-4c70-9301-003728575019 · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

Cross-modal Information Flow in Multimodal Large Language Models Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.752851Z

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Observation fc5d2625-70ea-493e-9483-d3f5209f3c9b · outbound

This paper cites A mathematical framework for transformer circuits.

Cross-modal Information Flow in Multimodal Large Language Models A mathematical framework for transformer circuits

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.765687Z

Source-reported events for the cited work

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Observation bc3efc44-c022-4ca5-82b5-ef1278bfe58c · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Cross-modal Information Flow in Multimodal Large Language Models Transformer feed-forward layers are key-value memories

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.739359Z

Source-reported events for the cited work

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Observation d646a383-9468-4e36-af97-baa081b32688 · outbound

This paper cites Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers.

Cross-modal Information Flow in Multimodal Large Language Models Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers

Reference 19

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Observation 1ceb7cdd-dd6e-4f22-884e-130efcc4e62c · outbound

This paper cites Probing image- language transformers for verb understanding.

Cross-modal Information Flow in Multimodal Large Language Models Probing image- language transformers for verb understanding

Reference 20

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Observation c0887d75-c0cd-4fce-ba23-d1fb115fd837 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Cross-modal Information Flow in Multimodal Large Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 21

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Observation 24f55189-75cb-47ef-a182-ab2065133cca · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

Cross-modal Information Flow in Multimodal Large Language Models Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.698375Z

Source-reported events for the cited work

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Observation b529b4a9-d90d-4394-9e30-6cac4dd11304 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Cross-modal Information Flow in Multimodal Large Language Models Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.713166Z

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Observation 095b51f7-cf03-4e9c-b171-196e1198c93f · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Cross-modal Information Flow in Multimodal Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 24

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Observation 03c8f297-00e2-4a9e-80f2-7088517572ae · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Uni- fied Vision-Language Understanding and Generation.

Cross-modal Information Flow in Multimodal Large Language Models BLIP: Bootstrapping Language-Image Pre-training for Uni- fied Vision-Language Understanding and Generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.685237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d512324-036e-4835-b169-691bff587c95 · outbound

This paper cites Visual Instruction Tuning.

Cross-modal Information Flow in Multimodal Large Language Models Visual Instruction Tuning

Reference 26

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Observation 1f2f1f64-2e6c-44a6-9cc1-e04fdfc19dde · outbound

This paper cites Mini-gemini: Mining the potential of multi-modality vision language models, 2024.

Cross-modal Information Flow in Multimodal Large Language Models Mini-gemini: Mining the potential of multi-modality vision language models, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.671695Z

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Observation 7b909667-9ad6-475c-a12b-1769e563eb92 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Cross-modal Information Flow in Multimodal Large Language Models Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 28

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Observation 2554fcdb-e476-4b9a-9307-a460cbfcd171 · outbound

This paper cites Improved baselines with visual instruction tuning.

Cross-modal Information Flow in Multimodal Large Language Models Improved baselines with visual instruction tuning

Reference 29

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Observation 43bfb556-49b8-4768-93a6-1771ed119ad4 · outbound

This paper cites Locating and editing factual associations in GPT.

Cross-modal Information Flow in Multimodal Large Language Models Locating and editing factual associations in GPT

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:06:10.614732Z

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Observation 897b8e6a-1902-476c-820a-b999ced49df6 · outbound

This paper cites Dime: Fine-grained inter- pretations of multimodal models via disentangled local ex- planations.

Cross-modal Information Flow in Multimodal Large Language Models Dime: Fine-grained inter- pretations of multimodal models via disentangled local ex- planations

Reference 31

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Observation df9fd07c-8bed-4973-9504-cd4d08f1ae97 · outbound

This paper cites Towards Interpreting Visual Information Processing in Vision-Language Models.

Cross-modal Information Flow in Multimodal Large Language Models Towards Interpreting Visual Information Processing in Vision-Language Models

Reference 32

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Observation 583d1950-009e-4941-8ae9-59e0e38da9e1 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Cross-modal Information Flow in Multimodal Large Language Models Progress measures for grokking via mechanistic interpretability

Reference 33

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Observation 131e2a97-032c-4d66-b3f7-5af3468968ef · outbound

This paper cites Towards Vision-Language Mechanistic Interpretabil- ity: A Causal Tracing Tool for BLIP.

Cross-modal Information Flow in Multimodal Large Language Models Towards Vision-Language Mechanistic Interpretabil- ity: A Causal Tracing Tool for BLIP

Reference 34

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Observation d8d59e14-b39e-467d-9856-5b30d0efe9d4 · outbound

This paper cites Mechanistic interpretability, variables, and the importance of interpretable bases.

Cross-modal Information Flow in Multimodal Large Language Models Mechanistic interpretability, variables, and the importance of interpretable bases

Reference 35

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Observation 4df14011-c962-45a4-8808-e5d70d67ecf7 · outbound

This paper cites Are Vision-Language Transform- ers Learning Multimodal Representations? A probing per- spective.

Cross-modal Information Flow in Multimodal Large Language Models Are Vision-Language Transform- ers Learning Multimodal Representations? A probing per- spective

Reference 36

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Observation d62d5ceb-a28a-46be-be91-5003edef89a5 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Cross-modal Information Flow in Multimodal Large Language Models Learning transferable visual models from natural language supervi- sion

Reference 37

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Observation 918cbea9-5af6-48d8-8ab0-361f6fec4e68 · outbound

This paper cites LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models.

Cross-modal Information Flow in Multimodal Large Language Models LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models

Reference 38

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Observation 6e240497-9f54-4a25-acaf-0bc3eb56ca71 · outbound

This paper cites Multimodal Neurons in Pre- trained Text-Only Transformers.

Cross-modal Information Flow in Multimodal Large Language Models Multimodal Neurons in Pre- trained Text-Only Transformers

Reference 39

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Observation 5c458eaa-781c-488f-b47a-84b191c24b86 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Cross-modal Information Flow in Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 40

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Observation d985c5aa-b104-416c-8262-bb2e933a553b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Cross-modal Information Flow in Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 41

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Observation dbc8cd6a-4d42-44a7-b9ce-0ab0fcb4713f · outbound

This paper cites Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

Cross-modal Information Flow in Multimodal Large Language Models Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 42

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Observation eb6cd9b0-6eba-4555-9d87-cb8cf918d49d · outbound

This paper cites Attention is All you Need.

Cross-modal Information Flow in Multimodal Large Language Models Attention is All you Need

Reference 43

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Observation 454bc649-dece-44a8-897c-b51279e05c9c · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Cross-modal Information Flow in Multimodal Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 44

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Observation 1b5e16aa-6ce4-453b-b9d6-fbc87cb9fb93 · outbound

This paper cites Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models.

Cross-modal Information Flow in Multimodal Large Language Models Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models

Reference 45

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Observation 9393027a-a1a3-4aaf-be1e-faff84f16657 · outbound

This paper cites The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?.

Cross-modal Information Flow in Multimodal Large Language Models The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

Reference 46

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Observation c13a0267-c980-4bde-b20f-2cdeacd98c95 · outbound

This paper cites From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

Cross-modal Information Flow in Multimodal Large Language Models From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Reference 47

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Observation f7589b04-ade1-42b5-8c32-67636639326b · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Cross-modal Information Flow in Multimodal Large Language Models Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 49

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Observation 0cca1222-5a9e-48da-a720-c98c617057bc · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Cross-modal Information Flow in Multimodal Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2023

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Pith citing papers

Observation fbc8c65d-34f7-4862-ad73-5e0c6f2c7509 · inbound

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 68

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Observation d595b4d8-664f-4f4c-a21c-947feaa1fcd5 · inbound

Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation cites this paper.

Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation Cross-modal Information Flow in Multimodal Large Language Models

Reference 12

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Observation e90e38c3-498d-4f73-a74f-53f56c143979 · inbound

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation cites this paper.

Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation Cross-modal Information Flow in Multimodal Large Language Models

Reference 54

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Observation 03c0985e-2934-4751-9bbb-32103dfcca6e · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.735239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c6598e-4096-4d67-8213-229f86126856 · inbound

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models cites this paper.

Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:05.544824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37595e36-29d1-423e-8221-6cd810049313 · inbound

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models cites this paper.

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:12.654347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f9da4c6-c19e-49d8-91e9-b939a7f244c4 · inbound

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination cites this paper.

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination Cross-modal Information Flow in Multimodal Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:28:05.500293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.