{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/cusp","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b","json_url":"https://onlylabs.fyi/signals/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b/signal.json","generated_at":"2026-06-11T03:13:25.424158+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/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b","signal_json":"https://onlylabs.fyi/signals/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b/signal.json","source":"https://github.com/amazon-science/cusp","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/cusp (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/cusp · 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/cusp","source_host":"github.com","occurred_at":"2024-10-18T23:20:41+00:00","first_seen_at":"2026-06-10T07:01:08.205043+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 host","value":"github.com","source":"source"},{"label":"Repository","value":"amazon-science/cusp","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"16","source":"traction"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and 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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/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/cusp","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/cusp\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/cusp","text":"Amazon (Nova) published repo amazon-science/cusp."},{"subject":"amazon-science/cusp","predicate":"is classified as","object":"repo signal","text":"amazon-science/cusp is classified as repo signal."},{"subject":"amazon-science/cusp","predicate":"belongs to","object":"repos desk","text":"amazon-science/cusp belongs to repos desk."},{"subject":"amazon-science/cusp","predicate":"has context","object":"Python","text":"amazon-science/cusp has context Python."},{"subject":"amazon-science/cusp","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/cusp has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/cusp","predicate":"has captured page count","object":"1","text":"amazon-science/cusp has captured page count 1."},{"subject":"amazon-science/cusp","predicate":"has 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Infrastructure."}]},"intelligence":{"signal_desk":"repos","answer":"Amazon (Nova) published amazon-science/cusp (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/cusp · 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/cusp","text":"Amazon (Nova) published repo amazon-science/cusp."},{"subject":"amazon-science/cusp","predicate":"is classified as","object":"repo signal","text":"amazon-science/cusp is classified as repo signal."},{"subject":"amazon-science/cusp","predicate":"belongs to","object":"repos desk","text":"amazon-science/cusp belongs to repos desk."},{"subject":"amazon-science/cusp","predicate":"has context","object":"Python","text":"amazon-science/cusp has context Python."},{"subject":"amazon-science/cusp","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/cusp has evidence coverage 1 captured evidence page."}]},"signal":{"id":"fdfcdf00-c690-4e26-a760-5ace0e7bdc0b","url":"https://onlylabs.fyi/signals/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b","json_url":"https://onlylabs.fyi/signals/fdfcdf00-c690-4e26-a760-5ace0e7bdc0b/signal.json","source_url":"https://github.com/amazon-science/cusp","title":"amazon-science/cusp","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":"2024-10-18T23:20:41+00:00","first_seen_at":"2026-06-10T07:01:08.205043+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/cusp"]},"facets":{"repo":"amazon-science/cusp","language":"Python"},"traction":{"github_stars":16,"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/cusp","final_url":"https://github.com/amazon-science/cusp","title":"amazon-science/cusp repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:13:25.424158+00:00","bytes":19756,"raw_path":"c78edfb19af2d5b8d34e90ee9771cc808f2c73ca2dbf7d465bbcd0201fd22f96.json","content_hash":"f9e044a29e40d1a2e2b95821a613a83455ea3847d540751006c282666baf1b30","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/cusp Description: Official implementation of Spectro-Riemannian Graph Neural Networks (ICLR 2025) Language: Python Stars: 16 Forks: 1 Open issues: 4 Created: 2024-10-18T23:20:41Z Pushed: 2026-06-10T23:03:25Z Default branch: main Fork: no Archived: no README: Spectro-Riemannian Graph Neural Networks Official implementation of [Spectro-Riemannian Graph Neural Networks](https://www.arxiv.org/abs/2502.00401) (ICLR 2025). <p align=\"center\"> <img width=\"800px\" src=\"imgs/model.png\" > </p> 🛠 Dependencies and Installation - [geoopt](https://github.com/geoopt/geoopt) `0.5.0` (For Riemannian optimization and implementation of $\\kappa$-stereographic model) - [GraphRicciCurvature](https://github.com/saibalmars/GraphRicciCurvature) `0.5.3.2` (For computing Ollivier-Ricci Curvature) - torch `2.4.0` (Implementation in PyTorch) - torch_geometric `2.6.1` - Other required packages in `requirements.txt` ```python git clone this repository git clone https://github.com/amazon-science/cusp.git install python dependencies pip3 install -r requirements.txt ``` 💽 Datasets We have performed extensive experimentation and ablation studies across 8 datasets $-$ Homophilic (`Cora`, `Citeseer`,..."},"evidence_pages":[{"url":"https://github.com/amazon-science/cusp","final_url":"https://github.com/amazon-science/cusp","title":"amazon-science/cusp repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:13:25.424158+00:00","bytes":19756,"raw_path":"c78edfb19af2d5b8d34e90ee9771cc808f2c73ca2dbf7d465bbcd0201fd22f96.json","content_hash":"f9e044a29e40d1a2e2b95821a613a83455ea3847d540751006c282666baf1b30","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/cusp Description: Official implementation of Spectro-Riemannian Graph Neural Networks (ICLR 2025) Language: Python Stars: 16 Forks: 1 Open issues: 4 Created: 2024-10-18T23:20:41Z Pushed: 2026-06-10T23:03:25Z Default branch: main Fork: no Archived: no README: Spectro-Riemannian Graph Neural Networks Official implementation of [Spectro-Riemannian Graph Neural Networks](https://www.arxiv.org/abs/2502.00401) (ICLR 2025). <p align=\"center\"> <img width=\"800px\" src=\"imgs/model.png\" > </p> 🛠 Dependencies and Installation - [geoopt](https://github.com/geoopt/geoopt) `0.5.0` (For Riemannian optimization and implementation of $\\kappa$-stereographic model) - [GraphRicciCurvature](https://github.com/saibalmars/GraphRicciCurvature) `0.5.3.2` (For computing Ollivier-Ricci Curvature) - torch `2.4.0` (Implementation in PyTorch) - torch_geometric `2.6.1` - Other required packages in `requirements.txt` ```python git clone this repository git clone https://github.com/amazon-science/cusp.git install python dependencies pip3 install -r requirements.txt ``` 💽 Datasets We have performed extensive experimentation and ablation studies across 8 datasets $-$ Homophilic (`Cora`, `Citeseer`,..."}],"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"}]}