{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Repo: inclusionAI/Ming-VideoMAR","description":"InclusionAI (Ant Group) repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598","json_url":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598/signal.json","generated_at":"2026-06-11T03:17:59.100026+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598","signal_json":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598/signal.json","source":"https://github.com/inclusionAI/Ming-VideoMAR","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published inclusionAI/Ming-VideoMAR (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo inclusionAI/Ming-VideoMAR · language Python · Low stars new repo. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/inclusionAI/Ming-VideoMAR","source_host":"github.com","occurred_at":"2025-10-10T02:20:50+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"InclusionAI (Ant Group)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"inclusionAI/Ming-VideoMAR","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"9","source":"traction"},{"label":"Notability","value":"Low stars new repo","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/inclusionAI/Ming-VideoMAR"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:17:59.100026+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598/signal.json","dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, interpret the repository as source-grounded category strategy evidence.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/877af560-2eba-452f-bd59-f905052ee598/signal.json","required":true},{"label":"source","url":"https://github.com/inclusionAI/Ming-VideoMAR","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/inclusionai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze InclusionAI (Ant Group)'s repo signal \"inclusionAI/Ming-VideoMAR\" for neolab strategy."},"semantic_triples":[{"subject":"InclusionAI (Ant Group)","predicate":"published repo","object":"inclusionAI/Ming-VideoMAR","text":"InclusionAI (Ant Group) published repo inclusionAI/Ming-VideoMAR."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"is classified as","object":"repo signal","text":"inclusionAI/Ming-VideoMAR is classified as repo signal."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"belongs to","object":"repos desk","text":"inclusionAI/Ming-VideoMAR belongs to repos desk."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has context","object":"Python","text":"inclusionAI/Ming-VideoMAR has context Python."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has evidence coverage","object":"1 captured evidence page","text":"inclusionAI/Ming-VideoMAR has evidence coverage 1 captured evidence page."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has captured page count","object":"1","text":"inclusionAI/Ming-VideoMAR has captured page count 1."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has readable page count","object":"1","text":"inclusionAI/Ming-VideoMAR has readable page count 1."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has related signal count","object":"6","text":"inclusionAI/Ming-VideoMAR has related signal count 6."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"inclusionAI/Ming-VideoMAR has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has source host","object":"github.com","text":"inclusionAI/Ming-VideoMAR has source host github.com."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has lab","object":"InclusionAI (Ant Group)","text":"inclusionAI/Ming-VideoMAR has lab InclusionAI (Ant Group)."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has signal desk","object":"repos","text":"inclusionAI/Ming-VideoMAR has signal desk repos."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has source host","object":"github.com","text":"inclusionAI/Ming-VideoMAR has source host github.com."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has repository","object":"inclusionAI/Ming-VideoMAR","text":"inclusionAI/Ming-VideoMAR has repository inclusionAI/Ming-VideoMAR."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has language","object":"Python","text":"inclusionAI/Ming-VideoMAR has language Python."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has stars","object":"9","text":"inclusionAI/Ming-VideoMAR has stars 9."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has notability","object":"Low stars new repo","text":"inclusionAI/Ming-VideoMAR has notability Low stars new repo."},{"subject":"inclusionAI/Ming-VideoMAR","predicate":"has watch term","object":"Eval methodology","text":"inclusionAI/Ming-VideoMAR has watch term Eval methodology."}]},"intelligence":{"signal_desk":"repos","answer":"InclusionAI (Ant Group) published inclusionAI/Ming-VideoMAR (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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Ming-VideoMAR identifies temporal causality and spatial bi-directionality as the first principle of video AR models, and proposes the next-frame diffusion loss for the integration of mask and video generation. - 🖼️ **First Zero-shot Resolution Scaling for Video Generation:** Ming-VideoMAR replicates the unique capacity of sequence extrapolation from language models to video generation. It supports generating videos..."},"evidence_pages":[{"url":"https://github.com/inclusionAI/Ming-VideoMAR","final_url":"https://github.com/inclusionAI/Ming-VideoMAR","title":"inclusionAI/Ming-VideoMAR repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:17:59.100026+00:00","bytes":15497,"raw_path":"2b63ffeedba4f411a902967036f26afef8fe90cd31fb6dbe7fb540ef4903267e.json","content_hash":"321bea5a9718a955642968b1f81f2b6868e9fec541be3b7391e901891770db15","excerpt_chars":1200,"truncated":true,"excerpt":"inclusionAI/Ming-VideoMAR Language: Python Stars: 9 Forks: 1 Open issues: 0 Created: 2025-10-10T02:20:50Z Pushed: 2025-10-22T08:43:25Z Default branch: main Fork: no Archived: no README: Ming-VideoMAR: Autoregressive Video Generation with Continuous Tokens <p align=\"center\"> <img src=\"./figures/ant-bailing.png\" width=\"100\"/> <p> <p align=\"center\">🤗 <a href=\"https://huggingface.co/inclusionAI/Ming-VideoMAR\">Hugging Face </a>｜📄 <a href=\"https://www.arxiv.org/abs/2506.14168\">Paper (NeurIPS 2025) </a> </p> 🌍 Introduction - 🌐 **The First NTP MLLM with Continuous Unified Vision Representations:** Ming-VideoMAR is a concise and efficient decoder-only autoregressive image-to-video model with continuous tokens, composing temporal frame-by-frame and spatial masked generation. Ming-VideoMAR identifies temporal causality and spatial bi-directionality as the first principle of video AR models, and proposes the next-frame diffusion loss for the integration of mask and video generation. - 🖼️ **First Zero-shot Resolution Scaling for Video Generation:** Ming-VideoMAR replicates the unique capacity of sequence extrapolation from language models to video generation. It supports generating videos..."}],"related_signals":[{"id":"275d30a7-26c0-4331-8e3b-fcc34b6af9ef","url":"https://onlylabs.fyi/signals/275d30a7-26c0-4331-8e3b-fcc34b6af9ef","source_url":"https://github.com/inclusionAI/ARGenSeg","title":"inclusionAI/ARGenSeg","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-05-14T15:36:42+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"},{"id":"1817732d-ce18-4e4f-a139-c3fb5e507a49","url":"https://onlylabs.fyi/signals/1817732d-ce18-4e4f-a139-c3fb5e507a49","source_url":"https://github.com/inclusionAI/DR-Venus","title":"inclusionAI/DR-Venus","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-20T09:31:31+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"},{"id":"9a21494b-5ba2-424e-87c9-16abaf1356a3","url":"https://onlylabs.fyi/signals/9a21494b-5ba2-424e-87c9-16abaf1356a3","source_url":"https://github.com/inclusionAI/LLaDA2.0-Uni","title":"inclusionAI/LLaDA2.0-Uni","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-17T08:48:24+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"},{"id":"de8b40c9-261c-48b6-a3c5-5012b2eb971b","url":"https://onlylabs.fyi/signals/de8b40c9-261c-48b6-a3c5-5012b2eb971b","source_url":"https://github.com/inclusionAI/TC-AE","title":"inclusionAI/TC-AE","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-07T09:26:43+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"},{"id":"f4b1629a-a734-48e8-be6b-7f9e4b5525b6","url":"https://onlylabs.fyi/signals/f4b1629a-a734-48e8-be6b-7f9e4b5525b6","source_url":"https://github.com/inclusionAI/cuLA","title":"inclusionAI/cuLA","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-04-02T07:05:32+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"},{"id":"42164c78-e9e2-4639-b3d1-59d6b3e133e4","url":"https://onlylabs.fyi/signals/42164c78-e9e2-4639-b3d1-59d6b3e133e4","source_url":"https://github.com/inclusionAI/Zooming-without-Zooming","title":"inclusionAI/Zooming-without-Zooming","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab"},"occurred_at":"2026-02-12T08:14:14+00:00","first_seen_at":"2026-06-05T22:32:24.915565+00:00","date_source":"source"}]}