{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0","json_url":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0/signal.json","generated_at":"2026-06-11T03:02:58.905733+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/9cf59f1c-572e-43ab-9815-253b067596e0","signal_json":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0/signal.json","source":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners (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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners · language Python · New repo from Amazon, low traction (21 stars). 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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","source_host":"github.com","occurred_at":"2026-01-08T23:14:08+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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"21","source":"traction"},{"label":"Notability","value":"New repo from Amazon, low traction (21 stars)","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"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/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:02:58.905733+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0/signal.json","dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json","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","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/9cf59f1c-572e-43ab-9815-253b067596e0/signal.json","required":true},{"label":"source","url":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published repo","object":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","text":"Amazon (Nova) published repo amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"is classified as","object":"repo signal","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners is classified as repo signal."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"belongs to","object":"repos desk","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners belongs to repos desk."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has context","object":"Python","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has context Python."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has evidence coverage 1 captured evidence page."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has captured page count","object":"1","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has captured page count 1."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has readable page count","object":"1","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has readable page count 1."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has related signal count","object":"6","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has related signal count 6."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners 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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has source host","object":"github.com","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has source host github.com."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has lab","object":"Amazon (Nova)","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has lab Amazon (Nova)."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has signal desk","object":"repos","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has signal desk repos."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has source host","object":"github.com","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has source host github.com."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has repository","object":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has repository amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has language","object":"Python","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has language Python."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has stars","object":"21","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has stars 21."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has notability","object":"New repo from Amazon, low traction (21 stars)","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has notability New repo from Amazon, low traction (21 stars)."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has watch term","object":"Eval methodology","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has watch term Eval methodology."}]},"intelligence":{"signal_desk":"repos","answer":"Amazon (Nova) published amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners (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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners · language Python · New repo from Amazon, low traction (21 stars). 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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","text":"Amazon (Nova) published repo amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"is classified as","object":"repo signal","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners is classified as repo signal."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"belongs to","object":"repos desk","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners belongs to repos desk."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has context","object":"Python","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has context Python."},{"subject":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners has evidence coverage 1 captured evidence page."}]},"signal":{"id":"9cf59f1c-572e-43ab-9815-253b067596e0","url":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0","json_url":"https://onlylabs.fyi/signals/9cf59f1c-572e-43ab-9815-253b067596e0/signal.json","source_url":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","title":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","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":"2026-01-08T23:14:08+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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners"]},"facets":{"repo":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","language":"Python"},"traction":{"github_stars":21,"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/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","final_url":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","title":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:02:58.905733+00:00","bytes":20404,"raw_path":"19f89b5658785ce8b01883b01f1302eea5f8dbb10c36f9b200eeaccf08046105.json","content_hash":"be031b46603c1528684d67abceffdf269cb029f005c3ee5ec33b8ba68090d833","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners Language: Python License: Apache-2.0 Stars: 21 Forks: 0 Open issues: 17 Created: 2026-01-08T23:14:08Z Pushed: 2026-04-21T21:41:18Z Default branch: main Fork: no Archived: no README:

Self-aligned Reward: towards Effective and Efficient Reasoners

Peixuan Han, Adit Krishnan, Gerald Friedland, Jiaxuan You, Chris Kong

About SAR Self-aligned reward (**SAR**) is a generic, universally applicable self-guided signal that complements verifiable rewards to enhance both reasoning accuracy and efficiency in RL. By utilizing the perplexity signals within the model, SAR encourages more compact, efficient reasoning paths while maintaining strong reasoning capacity. Specifically, **SAR** compares the perpexity of a model rollout given and not given the question as context. As a result, answers that are closely tailored to the question will..."},"evidence_pages":[{"url":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","final_url":"https://github.com/amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners","title":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:02:58.905733+00:00","bytes":20404,"raw_path":"19f89b5658785ce8b01883b01f1302eea5f8dbb10c36f9b200eeaccf08046105.json","content_hash":"be031b46603c1528684d67abceffdf269cb029f005c3ee5ec33b8ba68090d833","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/Self-Aligned-Reward-Towards_Effective_and_Efficient_Reasoners Language: Python License: Apache-2.0 Stars: 21 Forks: 0 Open issues: 17 Created: 2026-01-08T23:14:08Z Pushed: 2026-04-21T21:41:18Z Default branch: main Fork: no Archived: no README:

Self-aligned Reward: towards Effective and Efficient Reasoners

Peixuan Han, Adit Krishnan, Gerald Friedland, Jiaxuan You, Chris Kong

About SAR Self-aligned reward (**SAR**) is a generic, universally applicable self-guided signal that complements verifiable rewards to enhance both reasoning accuracy and efficiency in RL. By utilizing the perplexity signals within the model, SAR encourages more compact, efficient reasoning paths while maintaining strong reasoning capacity. Specifically, **SAR** compares the perpexity of a model rollout given and not given the question as context. As a result, answers that are closely tailored to the question will..."}],"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"}]}