Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T22:22:27.455361Z
Paper Citation Record · LEDGER
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
As of 4 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 100 inbound Pith citation observations for arXiv:2503.01743.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:04:10.561277Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T20:37:34.431677Z
Reference resolution
58 of 58 outbound references displayed
- verified exact45
- verified fuzzy11
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c6b54e1f-1742-4df7-8671-a420a9af934a · outbound
This paper cites Phi-4 Technical Report.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Phi-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.827502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cc4a8c2d-201b-49c4-b918-a9f9822e660b · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.598919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a367daaf-6138-4906-b78f-8600010187ec · outbound
This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.618918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ac13f7c7-ac1a-458a-b22a-cb0403bec366 · outbound
This paper cites Program Synthesis with Large Language Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Program Synthesis with Large Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.629998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1e0fe995-2dc4-4c5f-9b30-d352767e45fa · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.640594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5a1425e3-4730-43e6-9e81-1244100eafd3 · outbound
This paper cites SeamlessM4T: Massively Multilingual & Multimodal Machine Translation.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:27.658413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 853c25c5-6def-460c-9651-7b1dcaa73068 · outbound
This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs PIQA: Reasoning about Physical Commonsense in Natural Language
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:55:18.098549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 86aae764-7ee3-4a0c-8152-b5a2ce7b2f43 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Training Verifiers to Solve Math Word Problems
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.684224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1faa8fbc-8fc9-45c1-bfb4-71cbdf4a149f · outbound
This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Boolq: Exploring the surprising difficulty of natural yes/no questions
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.195230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0a0a9faf-59aa-49ac-9657-e0cf7d262a49 · outbound
This paper cites Fleurs: Few-shot learning evaluation of universal representations of speech.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Fleurs: Few-shot learning evaluation of universal representations of speech
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.211121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3a059973-2a2b-4636-9b9f-9ab0c3887ebe · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.842608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c7a11588-f703-4351-9c61-23e4cc1b9ad3 · outbound
This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T20:58:59.653229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0be5604f-6156-400f-90c1-811155d64806 · outbound
This paper cites Qwen2-Audio Technical Report.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Qwen2-Audio Technical Report
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.887359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 951b5426-f4ed-4f0a-983e-cc0efc7b2ecd · outbound
This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:55:12.888993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a8adfca7-6afb-47be-9979-59c4881f0f9c · outbound
This paper cites The Llama 3 Herd of Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs The Llama 3 Herd of Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.929950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ac6a79fd-1b7d-415d-ac27-11b631a7e9c9 · outbound
This paper cites NVLM: Open Frontier-Class Multimodal LLMs.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs NVLM: Open Frontier-Class Multimodal LLMs
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.942674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cfc165d0-00e0-4861-a4cc-ae115cef8770 · outbound
This paper cites InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:30:28.063870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2e39c14c-8d32-4b9b-9453-ec93b0e661ce · outbound
This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.974405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cb91d072-e5e7-429c-b9d4-f256aecc44af · outbound
This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs BLINK: Multimodal Large Language Models Can See but Not Perceive
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:18:15.850579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 073f4210-4bfd-4aab-ad56-feccfb6dfc50 · outbound
This paper cites Audiochatllama: Towards general-purpose speech abilities for llms.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Audiochatllama: Towards general-purpose speech abilities for llms
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.229639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 48cb63da-7dd0-4086-87bd-a5f0a67c8f9d · outbound
This paper cites Joint audio and speech understanding.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Joint audio and speech understanding
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.242536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 538d58b4-7391-4752-af4f-70ac42e45fa0 · outbound
This paper cites Conformer: Convolution-augmented transformer for speech recognition.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Conformer: Convolution-augmented transformer for speech recognition
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.248124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 603a0f70-7dc0-45ef-acb9-4082d8366ef4 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.002945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 357f1c9f-f3fa-4729-a656-9f00bb096e5e · outbound
This paper cites Measuring Massive Multitask Language Understanding.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Measuring Massive Multitask Language Understanding
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.020311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T01:08:06.256034+00:00.
Observation 0a8e7430-2547-4ca4-a50f-a1ec18d00da1 · outbound
This paper cites GPT-4o System Card.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs GPT-4o System Card
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.028354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 70a8d384-67ab-46f0-b5ec-c1d024c3c516 · outbound
This paper cites Llm2clip: Powerful language model unlock richer visual representation.arXiv preprint arXiv:2411.04997.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Llm2clip: Powerful language model unlock richer visual representation.arXiv preprint arXiv:2411.04997
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.041542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 835fd8aa-9747-47af-8739-3f54d9f683b5 · outbound
This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.052476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 462faadc-9f2d-4962-9074-c05666608f0e · outbound
This paper cites [LBX+24] Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs [LBX+24] Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.297769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5c790fe7-78b1-4371-99d8-da30fb8126cc · outbound
This paper cites Let's Verify Step by Step.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Let's Verify Step by Step
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.062136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation aab323ed-6852-4e11-8995-334ee85bf04c · outbound
This paper cites Red Teaming Visual Language Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Red Teaming Visual Language Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.068521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fd5de2bb-c7be-4f87-bf34-5a3b69153488 · outbound
This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e19f28f0-ed57-49c5-90b5-9df326138136 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs LLaVA-OneVision: Easy Visual Task Transfer
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.089575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 51e28001-376d-4aa2-9742-47d02087c54e · outbound
This paper cites American invitational mathematics examination–aime.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs American invitational mathematics examination–aime
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.291545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5d366aa7-3bfc-495d-ba6d-dad78571317d · outbound
This paper cites Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.098692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 682f4fef-587f-4785-ae4c-2914a410cca8 · outbound
This paper cites ChartQA: A benchmark for question answering about charts with visual and logical reasoning.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs ChartQA: A benchmark for question answering about charts with visual and logical reasoning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.265591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1c10b859-8f3a-4ad8-9ab6-d80841c52553 · outbound
This paper cites s1: Simple test-time scaling.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs s1: Simple test-time scaling
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T22:22:28.105516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d8b6ce4a-1bdd-4baf-aefd-d430af5807b6 · outbound
This paper cites Robust speech recognition via large-scale weak supervision.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Robust speech recognition via large-scale weak supervision
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.281517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 04e502c6-18df-4333-9084-149b01fb5adc · outbound
This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:20:15.117976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 77834b61-efb2-47c0-b102-4e45ffcf2f31 · outbound
This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs SocialIQA: Commonsense Reasoning about Social Interactions
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T12:22:26.192007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2ad8cbf1-a96d-4bee-a255-1e061f6aeede · outbound
This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.139480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation df1f6ee2-b138-4566-a6bc-dfb3f59c20d5 · outbound
This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:04:55.589197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3823b17c-5a9d-4351-b21e-f6d63a1eda20 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Gemini: A Family of Highly Capable Multimodal Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.160647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b8d9ed14-0905-4955-96cf-3b85e68f5226 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.171212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9ac5b64d-3da6-4e3e-8bc4-74ece11226b0 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Gemma 2: Improving Open Language Models at a Practical Size
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.180304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e5b681c1-99f6-46aa-a744-03fd1880f7fa · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.189326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6c1efb9b-3909-43c1-b2d1-7091cdabdc2a · outbound
This paper cites SQuALITY: Building a Long-Document Summarization Dataset the Hard Way.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.693553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8990929a-fe4b-408f-af02-62258c2dcb4b · outbound
This paper cites Covost 2 and massively multilin- gual speech translation.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Covost 2 and massively multilin- gual speech translation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.271000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6809925f-4b03-49bd-89e9-1edaa1d13904 · outbound
This paper cites Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.710097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0b29ff4f-6dda-483e-bc91-7765c994cb15 · outbound
This paper cites LIMO: Less is More for Reasoning.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs LIMO: Less is More for Reasoning
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:11:37.899840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2ce20adf-103f-4274-952b-153118eaa12a · outbound
This paper cites AIR-bench: Benchmarking large audio-language models via generative comprehension.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs AIR-bench: Benchmarking large audio-language models via generative comprehension
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T22:22:28.258493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8182dada-8e4e-4b85-b829-818fd0c1e904 · outbound
This paper cites Qwen2.5 Technical Report.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Qwen2.5 Technical Report
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:27.732347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 51e1c557-58a4-4bf6-889e-06feafbedde0 · outbound
This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:51:48.633687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation aeb0577f-abd5-4ab6-bc11-1462b817b8cc · outbound
This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.759237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8483c4d9-565f-4c1c-a4cd-6bf3729d0d31 · outbound
This paper cites Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.772873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 75b57934-9208-4775-af26-56708e043fd2 · outbound
This paper cites InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:27.783266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e4f0b3ff-3453-4591-a366-942211b6c35c · outbound
This paper cites GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T03:53:47.697648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 86149ad6-9a2a-4921-a378-1339e2d11331 · outbound
This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T13:48:49.136768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2e30a073-f24a-4245-a6ac-28c6e8cab7f1 · outbound
This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:30:10.582609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
Observation fc50935c-2548-474b-8451-a7780fbbe5d4 · inbound
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning cites this paper.
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 153
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:33:26.932026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 57ae7c8d-8655-45fb-b70d-4d79c383c401 · inbound
On The Landscape of Spoken Language Models: A Comprehensive Survey cites this paper.
On The Landscape of Spoken Language Models: A Comprehensive Survey Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T20:45:08.095879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8f2789c6-f92e-41f1-aa8e-49bd94c96e37 · inbound
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models cites this paper.
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T03:42:45.329287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fb8f2733-32a7-48cb-b36a-42a92b07b0c8 · inbound
The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models cites this paper.
The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T02:41:59.995046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b41b52fd-ff1e-461b-9ae1-a166d668d306 · inbound
Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation cites this paper.
Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:28:41.934494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2bade1fd-f17d-41c8-8fcd-d058ffc92a10 · inbound
ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation cites this paper.
ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T23:16:54.039837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7e801151-e8b9-4e50-b28a-4746425bba15 · inbound
Evaluating the Impact of Verbal Multiword Expressions on Machine Translation cites this paper.
Evaluating the Impact of Verbal Multiword Expressions on Machine Translation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T20:51:50.257012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 70747e53-9514-4468-9a13-549f43fcbc9e · inbound
Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies cites this paper.
Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T21:16:51.174160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 349de331-6c6b-4bfa-9182-3db61011571b · inbound
Multilingual Vision-Language Models, A Survey cites this paper.
Multilingual Vision-Language Models, A Survey Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 99
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:02:37.479387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f15fc938-5188-44a6-9259-c8a8a484dae1 · inbound
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems cites this paper.
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T13:12:37.223016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c85b32d0-1da5-40b8-8a98-3b3ab4235798 · inbound
When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models cites this paper.
When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:11:17.911796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2245ba5c-9be9-4832-983d-fcde7624f0d8 · inbound
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? cites this paper.
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior? Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:04:10.561277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40843380-1b75-42f8-ac3d-a1620e9a27e9 · inbound
TRANSPORTER: Transferring Visual Semantics from VLM Manifolds cites this paper.
TRANSPORTER: Transferring Visual Semantics from VLM Manifolds Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T06:01:34.678805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c1cf2137-0847-4b67-9c2c-0c74ebe91a48 · inbound
Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models cites this paper.
Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:41:48.653117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89fc915a-8bc4-4449-96ce-5056f5e7d23f · inbound
Different types of syntactic agreement recruit the same units within large language models cites this paper.
Different types of syntactic agreement recruit the same units within large language models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:43:53.235603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1aa76f50-759a-4e00-9a4a-da4a95f0bf81 · inbound
Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs cites this paper.
Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:51:17.818489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 24ff696b-f949-4fcc-a3e9-5f6a45c96737 · inbound
FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation cites this paper.
FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:01:58.870711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1146e15d-c8ba-4895-9d60-a9253b2fd06c · inbound
MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus cites this paper.
MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:31:01.952272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 06a6f66f-5af8-4c96-affb-752da934bb85 · inbound
AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering cites this paper.
AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T14:07:58.668659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 89b64e93-047f-42b4-9867-1c9ea27f28e7 · inbound
PAL*M: Property Attestation for Large Generative Models cites this paper.
PAL*M: Property Attestation for Large Generative Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T11:37:48.703148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d11f1a18-6b2f-40d1-8637-a8799e30cd2e · inbound
*-PLUIE: Personalisable metric with Llm Used for Improved Evaluation cites this paper.
*-PLUIE: Personalisable metric with Llm Used for Improved Evaluation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:50:43.132868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d04c0e6-31a9-4951-9d8e-717538f328cf · inbound
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant cites this paper.
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:30:14.474460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3222f388-5a43-4662-9b73-556720b5c28e · inbound
Whisper-CD: Accurate Long-Form Speech Recognition using Multi-Negative Contrastive Decoding cites this paper.
Whisper-CD: Accurate Long-Form Speech Recognition using Multi-Negative Contrastive Decoding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T13:58:09.323985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cb3c854-847d-4ea5-ae15-6bedb7ad260b · inbound
LLMs and Speech: Integration vs. Combination cites this paper.
LLMs and Speech: Integration vs. Combination Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T10:45:28.322239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3aff7a7e-66cf-4c83-a733-f6787ccb92ca · inbound
LLMs and Speech: Integration vs. Combination cites this paper.
LLMs and Speech: Integration vs. Combination Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T20:46:17.286576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e288d52e-4ea1-4669-98eb-4a89e9b48209 · inbound
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models cites this paper.
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T00:48:24.987287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 36ab39a9-6ffc-4be1-a908-eb17e0495041 · inbound
Beyond Pedestrians: Caption-Guided CLIP Framework for High-Difficulty Video-based Person Re-Identification cites this paper.
Beyond Pedestrians: Caption-Guided CLIP Framework for High-Difficulty Video-based Person Re-Identification Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 57aa726b-99ee-441b-b6c7-ebeae55e506c · inbound
DialBGM: A Benchmark for Background Music Recommendation from Everyday Multi-Turn Dialogues cites this paper.
DialBGM: A Benchmark for Background Music Recommendation from Everyday Multi-Turn Dialogues Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4b361755-3521-4b04-90b6-f311654cb79a · inbound
GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing cites this paper.
GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5e717bab-89e8-4e41-9a2c-19ca42fb60ca · inbound
Demographic and Linguistic Bias Evaluation in Omnimodal Language Models cites this paper.
Demographic and Linguistic Bias Evaluation in Omnimodal Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c87e02ee-03cf-49ae-9398-94046dc3f5d3 · inbound
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models cites this paper.
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2872c852-abe0-4d71-808a-0a2b2931e3ac · inbound
CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms cites this paper.
CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5c181fb5-36d4-4875-a844-2cb19b3469e8 · inbound
CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms cites this paper.
CheeseBench: Evaluating Large Language Models on Rodent Behavioral Neuroscience Paradigms Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T00:59:19.369998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 95db6952-3fa9-4d1a-bbe3-9fd43d583bf3 · inbound
Contextual Biasing for ASR in Speech LLM with Common Word Cues and Bias Word Position Prediction cites this paper.
Contextual Biasing for ASR in Speech LLM with Common Word Cues and Bias Word Position Prediction Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a1d92992-a423-4fc9-b6c0-899a0b3f3905 · inbound
OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs cites this paper.
OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T08:09:51.365573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4f47e51d-fc89-4997-9516-e857365c2277 · inbound
A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff cites this paper.
A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:09:57.922788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 284115d3-ad83-4938-b6fc-a30a5dd9bd2f · inbound
Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection cites this paper.
Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5c3933bd-3a26-4a96-87c3-1f7770dfa598 · inbound
GroupDPO: Memory efficient Group-wise Direct Preference Optimization cites this paper.
GroupDPO: Memory efficient Group-wise Direct Preference Optimization Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 69d20138-12fc-4bc3-896f-7d12f047b861 · inbound
MUSCAT: MUltilingual, SCientific ConversATion Benchmark cites this paper.
MUSCAT: MUltilingual, SCientific ConversATion Benchmark Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c971776e-6541-4b9c-a51e-166e3f6bb18f · inbound
MUSCAT: MUltilingual, SCientific ConversATion Benchmark cites this paper.
MUSCAT: MUltilingual, SCientific ConversATion Benchmark Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T00:49:19.556887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 043d299a-f7f1-4bdd-bbd3-fe76ecae512c · inbound
VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech cites this paper.
VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 67445640-9fcd-43a2-a00b-1e415eb7a2aa · inbound
UniMesh: Unifying 3D Mesh Understanding and Generation cites this paper.
UniMesh: Unifying 3D Mesh Understanding and Generation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 73f61951-d7e7-4640-9e0c-e49ef425e73e · inbound
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models cites this paper.
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 16bd3282-88d4-47ec-8ff1-283c90a56f76 · inbound
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 034b8f9e-1d1c-4f36-98cf-c08814fee02b · inbound
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA cites this paper.
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0b32c577-78b7-47c1-bb5d-5e9f967ab1af · inbound
Low-Rank Adaptation Redux for Large Models cites this paper.
Low-Rank Adaptation Redux for Large Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e9899b37-44e8-40af-bc00-b577a5b281de · inbound
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models cites this paper.
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 71fa4ab1-7c5b-43dd-ba03-0aea4193ab5e · inbound
All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation cites this paper.
All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T23:16:36.277354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b8f59b96-2c41-4705-9995-ca30cc122839 · inbound
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models cites this paper.
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T00:41:26.438714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 62893fbb-299f-4133-8436-3b242fc3ee0d · inbound
Multimodal LLMs are not all you need for Pediatric Speech Language Pathology cites this paper.
Multimodal LLMs are not all you need for Pediatric Speech Language Pathology Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:16:26.388012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 70cbbf45-b33a-48ff-ab37-7c7b7e72927b · inbound
CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs cites this paper.
CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1b7778fc-fc47-4cba-b6ba-f68cfb58fc82 · inbound
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR cites this paper.
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:46:27.897018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 56adbc4e-cbc1-46e7-942b-24a93f79c35d · inbound
SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass cites this paper.
SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 42d1680b-dfeb-4d33-8036-6f100a545789 · inbound
Multimodal Data Curation Through Ranked Retrieval cites this paper.
Multimodal Data Curation Through Ranked Retrieval Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cc1fed03-1f8c-4942-94bb-f2dd98a4e270 · inbound
RobotEQ: Transitioning from Passive Intelligence to Active Intelligence in Embodied AI cites this paper.
RobotEQ: Transitioning from Passive Intelligence to Active Intelligence in Embodied AI Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e418c78d-0996-4969-be86-3171c5a958a3 · inbound
RobotEQ: Transitioning from Passive Intelligence to Active Intelligence in Embodied AI cites this paper.
RobotEQ: Transitioning from Passive Intelligence to Active Intelligence in Embodied AI Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.752240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8f7f689e-fdfc-4527-b622-50b66d9dfb90 · inbound
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b1fcc56e-8a75-4b8c-86d3-6acf933db2e5 · inbound
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation cites this paper.
How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:49:12.100964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1665edc-74f6-42f9-be50-114b16f0cb87 · inbound
HumanNet: Scaling Human-centric Video Learning to One Million Hours cites this paper.
HumanNet: Scaling Human-centric Video Learning to One Million Hours Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 47553457-1369-49ca-bb38-923fa5a77944 · inbound
Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.
Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9affb265-1f43-4a13-9fa8-3e5d2889b799 · inbound
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.302846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 18d09668-4518-4b80-b812-32da377dc361 · inbound
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T10:31:24.938742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 08c5d7b5-7783-402c-9bdf-aa30407e24c6 · inbound
Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills cites this paper.
Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:56:27.312250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9277b1a2-b629-4636-8892-4324cd353a98 · inbound
Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization cites this paper.
Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:46:24.427716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ddec2916-69e0-4a60-b4c6-831bf7949106 · inbound
SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models cites this paper.
SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T06:46:35.186477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 25368d89-2efe-4311-bef9-dd183ae8ab52 · inbound
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA cites this paper.
Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T05:56:25.303513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5051896e-5e5a-4762-913b-cebfd0e56904 · inbound
Differences in Text Generated by Diffusion and Autoregressive Language Models cites this paper.
Differences in Text Generated by Diffusion and Autoregressive Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T20:59:27.192307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 176a8cba-f680-4354-bdec-bec0e0afdd25 · inbound
In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores cites this paper.
In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:32:59.289781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bdeb7108-6c71-4401-9751-87770047b854 · inbound
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.
MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:05:04.230702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3ea3408b-e9f4-46b0-baf5-00a09aafeaaa · inbound
From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.
From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 118
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-21T08:49:53.807525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f69373fe-0e40-4211-b73e-43ab0adebcae · inbound
MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs cites this paper.
MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T03:09:44.605032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5f0db0b1-fd7b-4393-b486-ea38e3944eaa · inbound
Artificial Intolerance: Stigmatizing Language in Clinical Documentation Skews Large Language Model Decision-Making cites this paper.
Artificial Intolerance: Stigmatizing Language in Clinical Documentation Skews Large Language Model Decision-Making Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 108
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T14:53:23.408415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 21f2d9f6-9b08-4086-8101-fafa1fbd444e · inbound
CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings cites this paper.
CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T13:28:19.106437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1c1bd359-02b1-4eec-8e9a-b2ad6134961f · inbound
PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions cites this paper.
PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:33:14.431845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a94cb6ff-fe0c-4df3-bc32-128b74fc7656 · inbound
Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction cites this paper.
Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T12:13:15.941762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d8ab7666-9b65-4167-8ba5-c9fefde59fb4 · inbound
OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding cites this paper.
OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T11:08:13.489000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5edbd3f2-3b67-4f3f-911c-c560858b7bd7 · inbound
CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning cites this paper.
CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T05:28:05.007229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ea3e0ebd-899e-4157-9c75-eb8cf43c7b8a · inbound
LamPO: A Lambda Style Policy Optimization for Reasoning Language Models cites this paper.
LamPO: A Lambda Style Policy Optimization for Reasoning Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T05:13:58.426891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 428e3860-292e-4a38-9643-6a22984567e0 · inbound
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation cites this paper.
X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T10:04:47.067371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e316f673-279b-4fcc-a9e9-677f72a9f445 · inbound
VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding cites this paper.
VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T05:55:25.040607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5ae4628e-1bbc-44a3-bd87-07b61e3dff07 · inbound
Direct Preference Optimization for English-Mandarin Code-Switching Speech Recognition in Audio LLMs cites this paper.
Direct Preference Optimization for English-Mandarin Code-Switching Speech Recognition in Audio LLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T21:25:04.331128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b2c422b4-a748-4a71-a388-5dbfedde6161 · inbound
Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling cites this paper.
Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T11:54:38.723471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 77d12bc1-f31d-4c81-8966-89a4d999cc7f · inbound
DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models cites this paper.
DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:54:00.665863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 043e5342-89fe-4824-b2f5-cef53576b92e · inbound
MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding cites this paper.
MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:23:59.913079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation db54f728-3bf2-4e03-bdbf-8a8e2b8d32de · inbound
The Future of Facts: Tracing the Factual Generation-Verification Gap cites this paper.
The Future of Facts: Tracing the Factual Generation-Verification Gap Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:33:50.402930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 06aeb066-d758-4876-b277-6bf484e2eab2 · inbound
DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMs cites this paper.
DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T19:36:09.049165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 424d0c7d-918b-4566-ab4d-1c75c5420324 · inbound
RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting cites this paper.
RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T00:02:49.592598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 30499a84-c286-415d-8e55-7667d0aac91f · inbound
SALSA: Speech Aware LLM Adaptation via Learned Steering Activation Vectors cites this paper.
SALSA: Speech Aware LLM Adaptation via Learned Steering Activation Vectors Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T19:32:35.173932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8f14a4ba-c57d-4d2a-94d3-ed1843609af7 · inbound
Differentially Private Datastore Generation for Retrieval-Augmented Inference cites this paper.
Differentially Private Datastore Generation for Retrieval-Augmented Inference Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T21:36:15.468352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dd674201-08e3-43c0-a27e-cf7529506a43 · inbound
From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring cites this paper.
From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T02:46:27.755036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 435a9621-9ee6-4fc8-9c4a-eb7f8b31320f · inbound
Do Transformers Need Three Projections? Systematic Study of QKV Variants cites this paper.
Do Transformers Need Three Projections? Systematic Study of QKV Variants Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T22:36:17.325422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1f7d7371-2bed-413b-a1f7-63e608569244 · inbound
Entity Binding Failures in Speech LLM Reasoning: Diagnosis and Chain-of-Thought Intervention cites this paper.
Entity Binding Failures in Speech LLM Reasoning: Diagnosis and Chain-of-Thought Intervention Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T07:46:46.246146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4f586ca6-4abe-43d3-8227-8289100e9a76 · inbound
Audio Interaction Model cites this paper.
Audio Interaction Model Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T10:46:52.330569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 96a7e54d-9606-499a-974b-6bdb0496d58c · inbound
CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction cites this paper.
CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T11:46:55.971075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0c21627d-9c6c-4692-a620-dc1ff02ddb33 · inbound
Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios cites this paper.
Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T13:36:59.048458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ed67616d-4ecc-4e8d-a061-ec2edc2ba58f · inbound
UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding cites this paper.
UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T17:37:15.018370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 843a2925-253d-4f09-a27b-2f2af3eddc3b · inbound
Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) cites this paper.
Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T22:52:44.979232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation af222d8e-548a-4726-bb9f-ee3dffeb813a · inbound
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs cites this paper.
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:06:21.441366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 80f64914-1c6f-483e-b062-253aec610cd6 · inbound
EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.
EinSort: Sorting is All We Need for Tensorizing LLM Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T23:07:26.490409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 649b619d-444d-4692-8a82-376eec771c58 · inbound
LLM can Read Spectrogram: Encoder-free Speech-Language Modeling cites this paper.
LLM can Read Spectrogram: Encoder-free Speech-Language Modeling Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T03:47:35.737632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.