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Paper Citation Record · LEDGER

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 17 inbound Pith citation observations for arXiv:2507.17801.

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

pith.paper-citation-record.v1
2507.17801 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:42.217035Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:59.024417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:57.121388Z

Reference resolution

17 of 17 outbound references displayed

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  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 051634bb-e402-4a2a-9d54-2316680942e7 · outbound

This paper cites GPT-4 Technical Report.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-15T18:22:42.145389Z digest=sha256:22de2fdeaa475f07d37399310700cfa22e7ff921e5fd17b0c2a5cfba8f67fe2e

Observation f1c71bc0-3881-4ff2-b10e-c26aebe4ca0b · outbound

This paper cites Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 7

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source=pdf_text observed=2026-08-15T18:22:42.173007Z digest=sha256:f488599c96b7f71753e11c3d66fa26cb38f7d0086e0a593a0c016a5e13e1a762

Observation cf906596-a539-40ca-818f-6d2eae54c4be · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 9

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source=pdf_text observed=2026-08-15T18:22:42.181354Z digest=sha256:f7c6f3570ecde1e2f4085e69d52b66a114123a90b4688ab2ef6f29172d34bbb1

Observation 0e052038-9078-4c45-afc7-2f20f29ac30d · outbound

This paper cites Drag your gan: Interactive point-based manipulation on the generative image manifold.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Drag your gan: Interactive point-based manipulation on the generative image manifold

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T18:22:42.185907Z digest=sha256:108cfc9b14f42a94a46267d54b72e22a74f2cdbbc3e56dc5de16bdc8f5f282da

Observation f2290e18-5f11-465a-a678-a895862acc52 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 12

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source=pdf_text observed=2026-08-15T18:22:42.194898Z digest=sha256:1ab9f801f3f1e9548671a7dab33eb4cccbae80047d980e18b23b8ff579e372c7

Observation 11e4e2b7-599f-4f89-ac3f-985ab9d191bd · outbound

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

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling LLaMA: Open and Efficient Foundation Language Models

Reference 13

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source=pdf_text observed=2026-08-15T18:22:42.199316Z digest=sha256:3904f6a90e3bc7993422bc333e229796a64ba62e59d486f4a478329b044ab5dc

Observation 4df67f3b-21dd-4fca-895e-6b84f1582585 · outbound

This paper cites Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 15

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source=pdf_text observed=2026-08-15T18:22:42.207651Z digest=sha256:3fb9746ccfcf204baa132c57622304f12796b93074502e80e21a36740da2ffa6

Observation 00ae4f62-089b-4d3f-83b0-3601bf9b6fee · outbound

This paper cites Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Reference 16

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source=pdf_text observed=2026-08-15T18:22:42.212119Z digest=sha256:c32dea1207a56c784441ef8823d11bc9a4abd44389b2b5acb4441cd18e8533b0

Observation 6e17bcca-82fc-49e3-88a2-5cbcde1d5051 · outbound

This paper cites CAR: Controllable Autoregressive Modeling for Visual Generation.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling CAR: Controllable Autoregressive Modeling for Visual Generation

Reference 17

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source=pdf_text observed=2026-08-15T18:22:42.217035Z digest=sha256:7b30e353340232df7280cfd6dc377a283709d87c100691ce97ec1b850672d5b5

Observation 972c0fe8-36b9-454e-9097-5702aad21a43 · outbound

This paper cites Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining

Reference 2014

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source=pdf_text observed=2026-08-15T18:22:42.168483Z digest=sha256:f4ab28911136d0c6d8cea6bf8d25b9f4d08718eb05650f59fc3677f7204f78ec

Observation bd483938-92d2-48ac-b38f-db0449cfa356 · outbound

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

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 2016

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source=pdf_text observed=2026-08-15T18:22:42.203571Z digest=sha256:34e5619ad0cd27b15a222b1c7fc1678331a5bd5f6d5c8c5e8d5c0bdb4cb81aad

Observation c0951cf0-fad5-4431-b965-0231c2c44b7e · outbound

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

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 2019

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source=pdf_text observed=2026-08-15T18:22:42.190204Z digest=sha256:e11e0d8b951a1c41690ec4c27bf087e90f344e10e8a523fec501acf55eadfb6f

Observation 4aeb23cd-e3eb-4a93-9403-d66de36d0679 · outbound

This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 2020

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source=pdf_text observed=2026-08-15T18:22:42.160153Z digest=sha256:62094905b72a7603f9dc5e70d693704bf73c44a9d11526c8a2b3a5897fd6bcff

Observation 0f97bf16-8931-4f66-9981-b06ac3b36d9e · outbound

This paper cites OmniCaptioner: One Captioner to Rule Them All.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling OmniCaptioner: One Captioner to Rule Them All

Reference 2022

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source=pdf_text observed=2026-08-15T18:22:42.176796Z digest=sha256:7cbeb4c6bb0d7095c9cd6b82b10c44e6e5ecedee220c45f98b40c3d682f0faf5

Observation 50c6b9dd-2e38-4980-94be-6a99b40f226f · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 2023

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source=pdf_text observed=2026-08-15T18:22:42.150883Z digest=sha256:75eb4f98ce04183716be1524a15d61e73ca5921d0e665fbd605e8f0066feeebe

Observation d4247848-c4a9-4a03-8217-832c5fc5f500 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 2024

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source=pdf_text observed=2026-08-15T18:22:42.155679Z digest=sha256:df7d7522bc138a33d419a58e3ff61ec3c6dee791f6421b557286c6d957383374

Observation 405b70cf-a7b2-4c51-b9b4-3f4702847aad · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 2025

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source=pdf_text observed=2026-08-15T18:22:42.164233Z digest=sha256:0734a87b8a57697688da523f981d75afe9771f933c0ceb847c6ad6d380c4ce59

Pith citing papers

Observation 755db948-0363-4635-b7ab-3f9c92f55e98 · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 52

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source=pdf_text observed=2026-08-16T12:32:59.024417Z digest=sha256:7bfe83fdbf0a56940479800a5198c7f471a7034a274f01fd17c3cab48cf7adf4

Observation 05249317-56a7-4802-93f6-70c625fbc391 · inbound

Low-Cost Test-Time Adaptation for Robust Video Editing cites this paper.

Low-Cost Test-Time Adaptation for Robust Video Editing Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 41

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source=pdf_text observed=2026-08-06T12:21:30.715303Z digest=sha256:7d068088755c643878745b10f40e9f68cf4b186c7fa5f3520f2a0d74c8e3bb52

Observation a1ebda91-8698-4afc-8d1a-e0a73ef19bff · inbound

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning cites this paper.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 35

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source=pdf_text observed=2026-08-06T11:16:48.721916Z digest=sha256:838ce24ccf4315626193f5c5ce2c895dee53823a3e08ef879c5300554331deaf

Observation f7b4cb1e-d53c-424b-a779-0a4f742d218d · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 6

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source=pdf_text observed=2026-08-05T12:52:59.490350Z digest=sha256:d6affcb6cb722bc7c019a58842cfdd7f3f3e3e29a7fbf1e27d87587452045a77

Observation f8f5332b-4610-416f-9c75-61b38298cb61 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 6

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source=pdf_text observed=2026-08-05T12:53:14.451429Z digest=sha256:057c6ec2e74b43af0c675d5094cfdf7d3157802f311d0eb30b2d3cd4c341bb96

Observation 27eee2d9-f40f-4652-b55d-ccdc0cdc0d73 · inbound

VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping cites this paper.

VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 36

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arxiv_id, observed 2026-05-17T21:35:17.600216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T21:34:14.371914Z digest=sha256:cf5792ed072f83f8de517745a04de7e63a29f4bc7d57edd3db3c7d667c5d88b6

Observation feb673e6-274a-4997-8d09-7064a73bb1e4 · inbound

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models cites this paper.

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 32

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arxiv_id, observed 2026-05-16T20:38:24.534551Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T20:38:06.225705Z digest=sha256:2fbb41e7586089f76a6b015621f67a16e833b4da0990cb0a8828cfb1157f27de

Observation 5e9c9352-0812-42bb-acb6-6329bf75b041 · inbound

SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation cites this paper.

SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 30

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no resolver link, observed 2026-07-13T22:30:39.049531Z

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source=pdf_text observed=2026-07-13T22:30:39.049531Z digest=sha256:0160a483635c6dd9b8cb5b8eb658ce6c1fda15def97d54d279f660ba27fe9a16

Observation aad127be-fa6a-491e-abc2-7e86d2e15f00 · inbound

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details cites this paper.

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 24

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arxiv_id, observed 2026-05-09T22:54:16.498546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T22:50:07.371117Z digest=sha256:cf6aa960f2a7b5a9a0e6cb30d200cff9759f0407d039b959027a76c186f7ac55

Observation 55d6b141-83ec-45d5-a238-e191fcaf20ea · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 21

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arxiv_id, observed 2026-05-12T02:21:16.478503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:20:25.071428Z digest=sha256:7cbe27853974745161d35fc3f96375aeba058246117de5417b4ec91b96471d75

Observation 286ac545-9494-45ae-8642-fff3ef966c8a · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 21

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arxiv_id, observed 2026-05-13T06:02:23.702712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T05:54:24.248910Z digest=sha256:c80bc25f9848b3e21c266fb282ea6731794650993753a67c74c98ac4a5612c7c

Observation 3f58edb3-4a25-4027-9fd1-cdce8258f328 · inbound

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models cites this paper.

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 69

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arxiv_id, observed 2026-05-13T07:37:29.646915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T07:34:41.000570Z digest=sha256:3e48f73cd5b5e368ee082e0fbd8aaeb32f2410ebe34b9f972d0fe3b3c8e989a8

Observation 73b02443-99a0-4856-872a-47256ecad3df · inbound

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation cites this paper.

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 51

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verified exact
arxiv_id, observed 2026-05-15T02:13:30.519572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T02:10:18.004724Z digest=sha256:8b63ba6c532413905d4d4974567fbbe095901c65349d7c75a05464007680eea9

Observation 1060435f-8558-4503-aeda-cd47e9cf9b2d · inbound

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models cites this paper.

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 7

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arxiv_id, observed 2026-05-19T21:22:48.550167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T21:18:03.005508Z digest=sha256:cfb6a22f45b379f1259c8dee06b95cde5fa1f4ac69fcf9f137bbfd4093180e92

Observation f25c32b8-1172-4090-920c-5dc6667b910d · inbound

Parallel Jacobi Decoding for Fast Autoregressive Image Generation cites this paper.

Parallel Jacobi Decoding for Fast Autoregressive Image Generation Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 59

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verified exact
arxiv_id, observed 2026-07-02T12:26:57.122881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T02:05:58.714029Z digest=sha256:e71833e5ca8d9296220d5e7fec5b475b05dfb5c53952db139f1ff9fdea067089

Observation 3d5c0d7b-475e-4037-b0c7-4c7e8be1daba · inbound

EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control cites this paper.

EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 63

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verified exact
arxiv_id, observed 2026-06-30T10:04:36.314583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T09:57:12.402737Z digest=sha256:dc6b921585ff1228d62215989ea0a42366f0de4b01a511fe860233db56dc6197

Observation f567517c-95c6-4d6f-9f4f-5be2130fdd9a · inbound

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution cites this paper.

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling

Reference 10

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no resolver link, observed 2026-08-01T17:33:38.529119Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:33:38.529119Z digest=sha256:f72c933cc05a0c8a73b91d42c0a40154387a6f6d37b931005ec1320c75ad73c6