VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/vlm2rec-resolving-modality-collapse-in-vision-language-model-embedders-for-multimodal-sequential-recommendation

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Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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Canonical ID vlm2rec-resolving-modality-collapse-in-vision-language-model-embedders-for-multimodal-sequential-recommendation | Route /signal-canvas/vlm2rec-resolving-modality-collapse-in-vision-language-model-embedders-for-multimodal-sequential-recommendation

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/vlm2rec-resolving-modality-collapse-in-vision-language-model-embedders-for-multimodal-sequential-recommendation

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation

PDF: https://arxiv.org/pdf/2603.17450v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation

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