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Paper Citation Record · LEDGER

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 5 inbound Pith citation observations for arXiv:2505.02471.

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

pith.paper-citation-record.v1
2505.02471 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:54:39.455447Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:10.602355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:14:36.390338Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3a8079f-2ba1-4a64-ab8c-49d248cf4303 · outbound

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

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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source=pdf_text observed=2026-08-16T00:54:39.339076Z digest=sha256:325ec1a273c86ee9db5ee99eeaeeb3424f6aa25a58484fc37067dc7d065178e3

Observation ef926333-3983-4983-b9c7-a0d60bb6ccf0 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 4

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source=pdf_text observed=2026-08-16T00:54:39.353385Z digest=sha256:6239656aacd03875a097691a674a2e8973bcf68a497922f25eb8f4ffdb7a9ba8

Observation abd70fd0-503e-4813-a90e-570e0000ec4c · outbound

This paper cites The Llama 3 Herd of Models.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction The Llama 3 Herd of Models

Reference 7

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source=pdf_text observed=2026-08-16T00:54:39.366368Z digest=sha256:ebaecd4c435c11d0597b1672c4596ca1bfb91f167e7d98004ade70e13b841b3e

Observation d9d01adb-87a0-4281-b82c-8e56d7a8b7ed · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 8

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source=pdf_text observed=2026-08-16T00:54:39.371003Z digest=sha256:8139930d4f6ca2993ff0764152d6cd4be5136870fe6e7fc13a155137b46bb115

Observation e274d37d-91eb-463a-b35c-cd90b5fcb38e · outbound

This paper cites SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

Reference 9

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source=pdf_text observed=2026-08-16T00:54:39.374968Z digest=sha256:fadc0fcefb39d69a078003e1a8aee75e8fb8efb989a857ec63b8ccf467fba378

Observation b18414f7-39bf-48c1-bd1a-21aa459c2f17 · outbound

This paper cites M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance

Reference 10

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source=pdf_text observed=2026-08-16T00:54:39.378812Z digest=sha256:3cc1ee7f369632322b6a328386722da43d7a2e801d3542fe065accfc6dbebb60

Observation e8bb5452-01fa-4d2e-b207-7b53b4fd7bf9 · outbound

This paper cites StyleBooth: Image Style Editing with Multimodal Instruction.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction StyleBooth: Image Style Editing with Multimodal Instruction

Reference 11

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source=pdf_text observed=2026-08-16T00:54:39.382829Z digest=sha256:1c062a2bf790f82d9a39ab27161a56692f2ea892d338a725054e2b9723009863

Observation 3783a247-026f-40ca-a6a6-e76974f787d6 · outbound

This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Reference 12

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source=pdf_text observed=2026-08-16T00:54:39.386856Z digest=sha256:fd686133e109b27541a481d7c29d634d6f945cc8448a2858cd1d578744ba2420

Observation 3d0d48ce-b37c-4479-a35c-2be81d045ce3 · outbound

This paper cites APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments

Reference 13

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source=pdf_text observed=2026-08-16T00:54:39.390569Z digest=sha256:a5cc8e05ec5ee4e2fce1ba7f287aeb2dc4d3e736d4c02b2012ea3a20d535aabf

Observation d2c84bee-5d3b-4931-96f1-c985434db4a2 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 15

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source=pdf_text observed=2026-08-16T00:54:39.398242Z digest=sha256:2cc3408793fb5d97ce7b7aa89d90a40174a78895af5842098ae80e9c3ac44bed

Observation 89e965eb-6794-4c49-952e-45cfd293c232 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 16

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source=pdf_text observed=2026-08-16T00:54:39.402535Z digest=sha256:9051a1f83da2497ddf75bd1160b8bf4bb21114db307c0651e693ea0ab3cef3d6

Observation 17b340fb-0238-4536-bead-72e5e8a9270e · outbound

This paper cites Transfer between Modalities with MetaQueries.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Transfer between Modalities with MetaQueries

Reference 18

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source=pdf_text observed=2026-08-16T00:54:39.410598Z digest=sha256:541b2f3e400004d93ca38e2bca0c4c8c839aa34646b7b2e89e7b15221021cc07

Observation 2893fd7a-b9fe-41ea-a130-0dff8427c7da · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 19

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source=pdf_text observed=2026-08-16T00:54:39.414818Z digest=sha256:40dcbe6d0b50451cd7ea45ed03a62102735e0342d52ffe8b0fe1d9187d1ffa44

Observation 7807693a-b4d5-4c74-8b19-ebf9a6b6560e · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 20

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source=pdf_text observed=2026-08-16T00:54:39.419665Z digest=sha256:bd8392327d6e266e37589786c83f3d35c9386ec0864911793bd3f70fdd10ce0f

Observation 71722832-4a1f-4ecd-87f9-8e504e464315 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 21

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source=pdf_text observed=2026-08-16T00:54:39.423687Z digest=sha256:b3629082f7d37fbaf49421baa72f38a704278dfc5a13301443fef343adb31fd7

Observation 56fd9f63-719c-4e28-8991-baa5cce05475 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 22

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source=pdf_text observed=2026-08-16T00:54:39.427677Z digest=sha256:a07c9aa228e4e0a34b25524743be6b44004bdfeca0ce7b279deb64935869b72d

Observation da24f654-9566-4786-9bf4-9e6241e068e8 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 23

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source=pdf_text observed=2026-08-16T00:54:39.431895Z digest=sha256:f6112c104802f850c15a5de20534eacec4df54bfe550a441508c1dc1e771c06d

Observation bbdba283-8a8a-49f4-b5da-b8002ae839ee · outbound

This paper cites MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation

Reference 24

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source=pdf_text observed=2026-08-16T00:54:39.436189Z digest=sha256:3bbcd16343c9602261923c5ba6dabb1758466959d789afe2ea390cc0e979c309

Observation 78ac85fd-34de-411d-abc6-4a0c4992d7f1 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 25

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source=pdf_text observed=2026-08-16T00:54:39.440165Z digest=sha256:527c0d7508397283b089096431762d1cd53533049f8e11218b8eb29cdffb9c7c

Observation 91f99a5d-9e87-4f77-a016-a2290ebe8cf9 · outbound

This paper cites Mimir: Improving Video Diffusion Models for Precise Text Understanding.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Mimir: Improving Video Diffusion Models for Precise Text Understanding

Reference 26

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source=pdf_text observed=2026-08-16T00:54:39.444113Z digest=sha256:8e3c460eca2c7cb4265adac6e7660d3adc8f09943652ca46a1e67e289ce29632

Observation 61a90960-d04a-4851-8c9f-856137272d77 · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 27

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source=pdf_text observed=2026-08-16T00:54:39.448090Z digest=sha256:e99ce88b4922bbf0874f97ce58a489aa5b0288c04d162eca4503ed5d4bbb371f

Observation af5fc222-a721-4883-9c87-ee16ee419e9a · outbound

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

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction LLaMA: Open and Efficient Foundation Language Models

Reference 28

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source=pdf_text observed=2026-08-16T00:54:39.451901Z digest=sha256:04841eb5b207dafa224d42ff3a0f15478fff91657d847a775454782169ffed9d

Observation 4d1146fc-0eb1-41a4-b74e-042381a4c683 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 29

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source=pdf_text observed=2026-08-16T00:54:39.455447Z digest=sha256:220f8b22f076cba64d3304fb53c5c17099385d27f1f2a41f2a8b0490b94b072b

Observation 01f1ccd5-7cc0-4823-9cdd-24de2661b94e · outbound

This paper cites an unresolved cited work.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Unresolved cited work

Reference 2012

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source=pdf_text observed=2026-08-16T00:54:39.406816Z digest=sha256:1fe762213188b58fe325e5cef2339c02d6c5116c6444a41714b0f0fde61d183e

Observation 130c7eb8-3049-4825-beb9-2e02233d7881 · outbound

This paper cites Generating multi-image synthetic data for text-to-image customization.arXiv preprint arXiv:2502.01720,.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Generating multi-image synthetic data for text-to-image customization.arXiv preprint arXiv:2502.01720,

Reference 2016

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source=pdf_text observed=2026-08-16T00:54:39.394650Z digest=sha256:2e75648023f23d076125061bcae0225a3d9a47e2ce4b7c9337353979934afe72

Observation 26d3c237-a09b-4881-9bc4-ea3a0df2eb69 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 2022

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source=pdf_text observed=2026-08-16T00:54:39.348620Z digest=sha256:8884edff001d86e4141dd28bc9ec7e11ede7ed1e804b941171f0ee3f6eccf632

Observation 498b05c5-4d02-4a4a-845e-c4c833cdab80 · outbound

This paper cites Qwen2.5-VL Technical Report.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Qwen2.5-VL Technical Report

Reference 2023

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source=pdf_text observed=2026-08-16T00:54:39.343788Z digest=sha256:a7c79be5556e6761cc7c0fc2fd89c40b01e5c2859165185e30a6aaf7bdd32ad6

Observation 9f2c394d-7362-4fdb-a4fa-1660d6926752 · outbound

This paper cites DreamLLM: Synergistic Multimodal Comprehension and Creation.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction DreamLLM: Synergistic Multimodal Comprehension and Creation

Reference 2024

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source=pdf_text observed=2026-08-16T00:54:39.361926Z digest=sha256:89b9873c34d8c11bb7f9a17095a96fb6d8156e3910699cd38aaede4449cf5bc5

Observation 32011972-6cec-4edc-83e8-5684e860a827 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 2025

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source=pdf_text observed=2026-08-16T00:54:39.357754Z digest=sha256:9e8b297bd6dce8a4d5fc75d5e25f752f3a965588c449ec0d966567c0d770bf3d

Pith citing papers

Observation 0f86ad23-5b73-4336-9338-cafb70f497e2 · inbound

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation cites this paper.

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Reference 2

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source=pdf_text observed=2026-08-15T23:09:10.602355Z digest=sha256:80c2ab076352a40b883162523d38f71bdaa4e54c7cb2ec6c92cae866bae38fe8

Observation 852eed35-e376-4708-b0b5-c93c3bc3d385 · inbound

Ming-Omni: A Unified Multimodal Model for Perception and Generation cites this paper.

Ming-Omni: A Unified Multimodal Model for Perception and Generation Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Reference 14

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source=pdf_text observed=2026-08-07T04:58:08.031807Z digest=sha256:d3c927f029ef380352d0cbeae6237356dec93c8940e4ba9a5d2e14bab33f393d

Observation 7f1a83b4-29cc-407a-a24e-a653f0a7658d · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Reference 42

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arxiv_id, observed 2026-05-12T18:51:15.522086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:965ef302d73e9cdfca64a65011104ca98a439b1c7918e46e040cf799cfe10164

Observation 1dee3b2c-2436-46d1-b713-42165f67ae27 · inbound

Ovis-U1 Technical Report cites this paper.

Ovis-U1 Technical Report Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Reference 6

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source=pdf_text observed=2026-08-06T22:01:19.342279Z digest=sha256:e357c9c1b3ecf3357ed06b0a2968e45ca921dc45b479e0442ecdf9e10decb625

Observation 6e916f84-6f38-4312-a1a8-7c4776b83c41 · inbound

COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models cites this paper.

COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction

Reference 11

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arxiv_id, observed 2026-06-30T10:14:36.391848Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T10:10:59.772213Z digest=sha256:9cac896581352762422f91fa4c1f157e2c70b0e61eb574a90ef44ecd3d9a4947