{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/SWAN","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533","json_url":"https://onlylabs.fyi/signals/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533/signal.json","generated_at":"2026-06-11T02:42:18.439599+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/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533","signal_json":"https://onlylabs.fyi/signals/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533/signal.json","source":"https://github.com/amazon-science/SWAN","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/SWAN (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/SWAN · language Python · New repo from Amazon Science, likely research model.. 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/SWAN","source_host":"github.com","occurred_at":"2026-05-05T17:17:14+00:00","first_seen_at":"2026-06-05T20:58:37.464059+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/SWAN","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Notability","value":"New repo from Amazon Science, likely research model.","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data 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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/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/SWAN","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/SWAN\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/SWAN","text":"Amazon (Nova) published repo amazon-science/SWAN."},{"subject":"amazon-science/SWAN","predicate":"is classified as","object":"repo signal","text":"amazon-science/SWAN is classified as repo signal."},{"subject":"amazon-science/SWAN","predicate":"belongs to","object":"repos desk","text":"amazon-science/SWAN belongs to repos desk."},{"subject":"amazon-science/SWAN","predicate":"has context","object":"Python","text":"amazon-science/SWAN has context Python."},{"subject":"amazon-science/SWAN","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/SWAN has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/SWAN","predicate":"has captured page count","object":"1","text":"amazon-science/SWAN has captured page count 1."},{"subject":"amazon-science/SWAN","predicate":"has readable page count","object":"1","text":"amazon-science/SWAN has readable page count 1."},{"subject":"amazon-science/SWAN","predicate":"has related signal count","object":"6","text":"amazon-science/SWAN has related signal count 6."},{"subject":"amazon-science/SWAN","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/SWAN 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/SWAN","predicate":"has source host","object":"github.com","text":"amazon-science/SWAN has source host github.com."},{"subject":"amazon-science/SWAN","predicate":"has lab","object":"Amazon 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methodology."},{"subject":"amazon-science/SWAN","predicate":"has watch term","object":"Data pipeline","text":"amazon-science/SWAN has watch term Data pipeline."}]},"intelligence":{"signal_desk":"repos","answer":"Amazon (Nova) published amazon-science/SWAN (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/SWAN · language Python · New repo from Amazon Science, likely research model.. 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/SWAN","text":"Amazon (Nova) published repo amazon-science/SWAN."},{"subject":"amazon-science/SWAN","predicate":"is classified as","object":"repo signal","text":"amazon-science/SWAN is classified as repo signal."},{"subject":"amazon-science/SWAN","predicate":"belongs to","object":"repos desk","text":"amazon-science/SWAN belongs to repos desk."},{"subject":"amazon-science/SWAN","predicate":"has context","object":"Python","text":"amazon-science/SWAN has context Python."},{"subject":"amazon-science/SWAN","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/SWAN has evidence coverage 1 captured evidence page."}]},"signal":{"id":"be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533","url":"https://onlylabs.fyi/signals/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533","json_url":"https://onlylabs.fyi/signals/be9e75a4-5f0a-4bc4-84a0-3c0bbafc1533/signal.json","source_url":"https://github.com/amazon-science/SWAN","title":"amazon-science/SWAN","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":"2026-05-05T17:17:14+00:00","first_seen_at":"2026-06-05T20:58:37.464059+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/SWAN"]},"facets":{"repo":"amazon-science/SWAN","language":"Python"},"traction":{"github_stars":0,"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/SWAN","final_url":"https://github.com/amazon-science/SWAN","title":"amazon-science/SWAN repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:42:18.439599+00:00","bytes":28201,"raw_path":"635711be21b627f0758fe3bfccaa47f9c9103b38ec1cb50ab1c7d0f82428d007.json","content_hash":"7e7287965a544534a3916d776ee70e396f76e65f30588b91b1a970d79870b110","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/SWAN Description: Code for ACL 2026 Paper \"SWAN: Semantic Watermarking with Abstract Meaning Representation\" Language: Python License: NOASSERTION Stars: 0 Forks: 0 Open issues: 3 Created: 2026-05-05T17:17:14Z Pushed: 2026-06-10T23:15:18Z Default branch: main Fork: no Archived: no README: SWAN: Semantic Watermarking with Abstract Meaning Representation This code is being released solely for academic and scientific reproducibility purposes, in support of the methods and findings described in the associated publication. Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper. This repository contains the code for the ACL 2026 paper: > **SWAN: Semantic Watermarking with Abstract Meaning Representation** SWAN embeds watermark signatures into the semantic structure of sentences using Abstract Meaning Representation (AMR). Because the signature lives in the AMR graph, any paraphrase that preserves meaning automatically preserves the watermark. Repository Structure ``` . ├── amr_bank/ # AMR Bank Creation (§3.1) │ ├── analyze_amr_distribution.py # Build frequency distribution from MASSIVE-AMR corpus │ ├──..."},"evidence_pages":[{"url":"https://github.com/amazon-science/SWAN","final_url":"https://github.com/amazon-science/SWAN","title":"amazon-science/SWAN repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:42:18.439599+00:00","bytes":28201,"raw_path":"635711be21b627f0758fe3bfccaa47f9c9103b38ec1cb50ab1c7d0f82428d007.json","content_hash":"7e7287965a544534a3916d776ee70e396f76e65f30588b91b1a970d79870b110","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/SWAN Description: Code for ACL 2026 Paper \"SWAN: Semantic Watermarking with Abstract Meaning Representation\" Language: Python License: NOASSERTION Stars: 0 Forks: 0 Open issues: 3 Created: 2026-05-05T17:17:14Z Pushed: 2026-06-10T23:15:18Z Default branch: main Fork: no Archived: no README: SWAN: Semantic Watermarking with Abstract Meaning Representation This code is being released solely for academic and scientific reproducibility purposes, in support of the methods and findings described in the associated publication. Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper. This repository contains the code for the ACL 2026 paper: > **SWAN: Semantic Watermarking with Abstract Meaning Representation** SWAN embeds watermark signatures into the semantic structure of sentences using Abstract Meaning Representation (AMR). Because the signature lives in the AMR graph, any paraphrase that preserves meaning automatically preserves the watermark. Repository Structure ``` . ├── amr_bank/ # AMR Bank Creation (§3.1) │ ├── analyze_amr_distribution.py # Build frequency distribution from MASSIVE-AMR corpus │ ├──..."}],"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"}]}