{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/cocomic","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92","json_url":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92/signal.json","generated_at":"2026-06-11T03:57:07.928318+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92","signal_json":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92/signal.json","source":"https://github.com/amazon-science/cocomic","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/cocomic (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/cocomic · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/amazon-science/cocomic","source_host":"github.com","occurred_at":"2023-05-23T16:53:03+00:00","first_seen_at":"2026-06-06T01:49:32.065372+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"Amazon (Nova)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source 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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","data_business_lane","evidence_url"],"data_business_relevance":"New repositories can expose organization build priorities early, especially around internal tooling, eval infrastructure, data systems, deployment, and agent workflows.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/cocomic","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/amazon/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/amazon/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 Amazon (Nova)'s repo signal \"amazon-science/cocomic\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/cocomic","text":"Amazon (Nova) published repo amazon-science/cocomic."},{"subject":"amazon-science/cocomic","predicate":"is classified as","object":"repo signal","text":"amazon-science/cocomic is classified as repo signal."},{"subject":"amazon-science/cocomic","predicate":"belongs to","object":"repos desk","text":"amazon-science/cocomic belongs to repos desk."},{"subject":"amazon-science/cocomic","predicate":"has context","object":"Python","text":"amazon-science/cocomic has context Python."},{"subject":"amazon-science/cocomic","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/cocomic has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/cocomic","predicate":"has captured page count","object":"1","text":"amazon-science/cocomic has captured page count 1."},{"subject":"amazon-science/cocomic","predicate":"has readable page count","object":"1","text":"amazon-science/cocomic has readable page count 1."},{"subject":"amazon-science/cocomic","predicate":"has related signal count","object":"6","text":"amazon-science/cocomic has related signal count 6."},{"subject":"amazon-science/cocomic","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":"amazon-science/cocomic 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":"amazon-science/cocomic","predicate":"has source host","object":"github.com","text":"amazon-science/cocomic has source host github.com."},{"subject":"amazon-science/cocomic","predicate":"has 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/cocomic · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/cocomic","text":"Amazon (Nova) published repo amazon-science/cocomic."},{"subject":"amazon-science/cocomic","predicate":"is classified as","object":"repo signal","text":"amazon-science/cocomic is classified as repo signal."},{"subject":"amazon-science/cocomic","predicate":"belongs to","object":"repos desk","text":"amazon-science/cocomic belongs to repos desk."},{"subject":"amazon-science/cocomic","predicate":"has context","object":"Python","text":"amazon-science/cocomic has context Python."},{"subject":"amazon-science/cocomic","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/cocomic has evidence coverage 1 captured evidence page."}]},"signal":{"id":"fdd51a98-f2de-4656-8fd8-7345651ffa92","url":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92","json_url":"https://onlylabs.fyi/signals/fdd51a98-f2de-4656-8fd8-7345651ffa92/signal.json","source_url":"https://github.com/amazon-science/cocomic","title":"amazon-science/cocomic","summary":"Amazon (Nova) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2023-05-23T16:53:03+00:00","first_seen_at":"2026-06-06T01:49:32.065372+00:00","date_source":"source","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/amazon-science/cocomic"]},"facets":{"repo":"amazon-science/cocomic","language":"Python"},"traction":{"github_stars":19,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/amazon-science/cocomic","final_url":"https://github.com/amazon-science/cocomic","title":"amazon-science/cocomic repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:57:07.928318+00:00","bytes":19617,"raw_path":"2b80fba46053b63567ec5314b7b43a2913753d295c97298e331b4f78e8bf9a5e.json","content_hash":"c13717d0f86f776d7bf1baf248b8260b3cfc680cf94d6f68b51351204b263426","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/cocomic Description: CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context Language: Python License: Apache-2.0 Stars: 19 Forks: 5 Open issues: 14 Created: 2023-05-23T16:53:03Z Pushed: 2026-02-20T21:09:35Z Default branch: main Fork: no Archived: no README: CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context This repository conatins the code for the paper [CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context](https://arxiv.org/abs/2212.10007) at LREC-COLING 2024. You may also want to check out our other paper on [CrossCodeEval](https://crosscodeeval.github.io/) at NeurIPS 2023. Quick Links - [Overview](#overview) - [Getting Started](#getting-started) - [Use CCFinder](#use-ccfinder) Overvew We propose CoCoMIC, a framework that incorporates cross-file context to learn the in-file and cross-file context jointly on top of pretrained code LMs. CCFinder: Cross-file Context Finder CCFinder parses the project hierarchy and code components to extract project information. CCFinder further builds a project context graph to represent the details of each component and the interactions among them. When an..."},"evidence_pages":[{"url":"https://github.com/amazon-science/cocomic","final_url":"https://github.com/amazon-science/cocomic","title":"amazon-science/cocomic repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:57:07.928318+00:00","bytes":19617,"raw_path":"2b80fba46053b63567ec5314b7b43a2913753d295c97298e331b4f78e8bf9a5e.json","content_hash":"c13717d0f86f776d7bf1baf248b8260b3cfc680cf94d6f68b51351204b263426","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/cocomic Description: CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context Language: Python License: Apache-2.0 Stars: 19 Forks: 5 Open issues: 14 Created: 2023-05-23T16:53:03Z Pushed: 2026-02-20T21:09:35Z Default branch: main Fork: no Archived: no README: CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context This repository conatins the code for the paper [CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context](https://arxiv.org/abs/2212.10007) at LREC-COLING 2024. You may also want to check out our other paper on [CrossCodeEval](https://crosscodeeval.github.io/) at NeurIPS 2023. Quick Links - [Overview](#overview) - [Getting Started](#getting-started) - [Use CCFinder](#use-ccfinder) Overvew We propose CoCoMIC, a framework that incorporates cross-file context to learn the in-file and cross-file context jointly on top of pretrained code LMs. CCFinder: Cross-file Context Finder CCFinder parses the project hierarchy and code components to extract project information. CCFinder further builds a project context graph to represent the details of each component and the interactions among them. When an..."}],"related_signals":[{"id":"087c32a2-6ad0-4981-9315-11fdd32a0153","url":"https://onlylabs.fyi/signals/087c32a2-6ad0-4981-9315-11fdd32a0153","source_url":"https://github.com/amazon-science/reskill","title":"amazon-science/reskill","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-06-04T02:13:35+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e5701aed-6cd3-48dd-bfa6-ef839031e2e8","url":"https://onlylabs.fyi/signals/e5701aed-6cd3-48dd-bfa6-ef839031e2e8","source_url":"https://github.com/amazon-science/dualkv-flash-attn-for-rl","title":"amazon-science/dualkv-flash-attn-for-rl","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-27T17:38:58+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"8af28f0c-7331-4b08-b517-e18b3555e503","url":"https://onlylabs.fyi/signals/8af28f0c-7331-4b08-b517-e18b3555e503","source_url":"https://github.com/amazon-science/EvoMAS","title":"amazon-science/EvoMAS","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-19T19:23:29+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e3ff8718-7daa-4ebd-a3e6-3d825c538b74","url":"https://onlylabs.fyi/signals/e3ff8718-7daa-4ebd-a3e6-3d825c538b74","source_url":"https://github.com/amazon-science/adaptive-layerwise-perturbation","title":"amazon-science/adaptive-layerwise-perturbation","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:44:17+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"9afcd328-0124-485c-8ace-9c3ad546e316","url":"https://onlylabs.fyi/signals/9afcd328-0124-485c-8ace-9c3ad546e316","source_url":"https://github.com/amazon-science/temporal-reasoning-dataset","title":"amazon-science/temporal-reasoning-dataset","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-13T13:07:08+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","url":"https://onlylabs.fyi/signals/e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","source_url":"https://github.com/amazon-science/PROF-GRPO","title":"amazon-science/PROF-GRPO","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-12T19:43:55+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"}]}