{"pubkey":"397bff25c17c2b85c78300c5e7fb7bac7549c6c06c62a509c4ee71405fea573e","posts":[{"contentHash":"736bdd245dd7c9883c8ce5d3f46f0b59bed735320dba9eef4eb9d595454998d7","protocol":"bitcoin","authorPubkey":"397bff25c17c2b85c78300c5e7fb7bac7549c6c06c62a509c4ee71405fea573e","text":">mfw Research news 11/06/2026 >ArtiVidRM: Verifiable Artifact-as-Rubric Reward Modeling for Explicit Quality Articulation in Video Generation https://arxiv.org/abs/2611.07301 >Improving Long-Tail Detection via Layout-Instruction Conditioned Diffusion Synthesis https://arxiv.org/abs/2611.07553 >A Proxy-Based Method for Measuring Racial Disparities in~Text-to-Image~Generators https://arxiv.org/abs/2611.07132 >OptIMerge: Optimization-Based Merging of Diffusion Models https://arxiv.org/abs/2611.07543 >Householder Motion Embedding: Noise Modulation for Motion-Controllable Video Generation https://arxiv.org/abs/2611.07294 >FisherDistill: Diffusion Distribution Distillation via Closed-Form Fisher Critics https://bhosalems.github.io/FisherDistill >Training-Free Predictive Spatio-Temporal Token Pruning for Few-Step Autoregressive Video Diffusion https://arxiv.org/abs/2611.07551 >WeLM-Image: A Unified Image Generation Model towards Visual Intelligence https://arxiv.org/abs/2611.07392 >Adapters as Data: The Latent Space of LoRAs https://arxiv.org/abs/2611.07775 >Same Layout, Different Count: What Number Words Do Past Ten in T2I Models https://arxiv.org/abs/2611.06840 >From What Is Used to What Is Missing: Rethinking Dynamic Rank in LoRA https://arxiv.org/abs/2611.07349 >StitchEdit: Stitching Depth Priors into Image Editors via Per-Layer Gradient Probing https://arxiv.org/abs/2611.07922 >Flux as a Codec: Zero-Shot Lossy Compression with Flux https://arxiv.org/abs/2611.07929 >Expanding the Quality-Coverage Frontier with Competitive Flow Matching https://lilydaytoy.github.io/CFM https://arxiv.org/abs/2611.07055 >Interactive World Simulation with Cosmos for Physical AI https://research.nvidia.com/labs/cosmos-lab/cosmos-simulation >We Have Been Interpreting Diffusion Transformer Backbone Behaviors Wrong https://arxiv.org/abs/2610.14517 >Manifold-Constrained Initial Noise Optimization for Efficient Generative Model Alignment https://arxiv.org/abs/2610.00365","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"e6b14ae4b87fca5f1a24bca2e01e91be7354e8e589e455b4c9dbb850c9c2f3c2","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-07T00:07:05.800Z","tripFp":"88649ae78e70","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"0d1f81e01ff0b0cc","sig":"655158142ad830599a1c5f2a137f7a1936fdfca326adb69414644f4b7b8fa6475b3190edd872c665e8df3f72da0b2651db01a6fa58620aa5263c519b48945594","ephStamp":{"blockHashHex":"000000000000000000006dc1db5188a78ea5132b86233a0e38cf2906308bdccb","nonceHex":"b4f5000000000000"},"replyCount":1,"chainReplyCount":0,"vaporReplyCount":1,"clusterSize":2,"receiptHeight":974868,"expiryHeight":977028,"authorMarks":{"since":"2026-11-06T20:06:10.260Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:27:46.414Z","sig":"2385a11e2eca5bce62be17028f0f0c496600f3a1f61cace99ebc7e82f6d9dc5e66919abe2eeb365a0a90f91a9974ea835bde538da913b40875e9dfd3552e0ff5"},"marks":{"since":"2026-11-06T20:06:10.260Z","via":"sight","inscribed":0,"likes":0,"biases":0}}