{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YO3A3KY65CCFOXDJOE64QVKCL4","short_pith_number":"pith:YO3A3KY6","canonical_record":{"source":{"id":"2412.08542","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-11T16:59:31Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"dc6716051b64f0a9fb543f15afaee11944e0eeb71aabf88a8ead3121dd851298","abstract_canon_sha256":"cdbc19b2b9e964cec4d30a044391d1d9281f1f08e6d7ac55547ec298407c15c6"},"schema_version":"1.0"},"canonical_sha256":"c3b60dab1ee884575c69713dc855425f3a53a2398f0a9c3e3e9a5ad9d3c4a7aa","source":{"kind":"arxiv","id":"2412.08542","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08542","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08542v1","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08542","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_12","alias_value":"YO3A3KY65CCF","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_16","alias_value":"YO3A3KY65CCFOXDJ","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_8","alias_value":"YO3A3KY6","created_at":"2026-07-05T09:47:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YO3A3KY65CCFOXDJOE64QVKCL4","target":"record","payload":{"canonical_record":{"source":{"id":"2412.08542","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-11T16:59:31Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"dc6716051b64f0a9fb543f15afaee11944e0eeb71aabf88a8ead3121dd851298","abstract_canon_sha256":"cdbc19b2b9e964cec4d30a044391d1d9281f1f08e6d7ac55547ec298407c15c6"},"schema_version":"1.0"},"canonical_sha256":"c3b60dab1ee884575c69713dc855425f3a53a2398f0a9c3e3e9a5ad9d3c4a7aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:51.738998Z","signature_b64":"8+RPBy3zEhEwHli7ev3oMY+nslqsIEajl7r1Bi+BSHrVBy4WFlzVSH/Yd4xl2UQqJEapoPfbzTg1ipZPDDo2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3b60dab1ee884575c69713dc855425f3a53a2398f0a9c3e3e9a5ad9d3c4a7aa","last_reissued_at":"2026-07-05T09:47:51.738530Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:51.738530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.08542","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7kVcubtIvqPoYEwLc9utVM8L/JIYRJ9ybq1azZqN0fI0xXwExeT7bC3e9WPrw/Po9KtdKIiKSfuFm2SA/m1qDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:27:39.285472Z"},"content_sha256":"81ee314bf72514098cd1d6b5d82187b21b54e3268686fd3fa22bb84f56a2e4d6","schema_version":"1.0","event_id":"sha256:81ee314bf72514098cd1d6b5d82187b21b54e3268686fd3fa22bb84f56a2e4d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YO3A3KY65CCFOXDJOE64QVKCL4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MaestroMotif: Skill Design from Artificial Intelligence Feedback","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Amy Zhang, Doina Precup, Marlos C. Machado, Martin Klissarov, Mikael Henaff, Pascal Vincent, Pierluca D'Oro, Pierre-Luc Bacon, Roberta Raileanu, Shagun Sodhani","submitted_at":"2024-12-11T16:59:31Z","abstract_excerpt":"Describing skills in natural language has the potential to provide an accessible way to inject human knowledge about decision-making into an AI system. We present MaestroMotif, a method for AI-assisted skill design, which yields high-performing and adaptable agents. MaestroMotif leverages the capabilities of Large Language Models (LLMs) to effectively create and reuse skills. It first uses an LLM's feedback to automatically design rewards corresponding to each skill, starting from their natural language description. Then, it employs an LLM's code generation abilities, together with reinforceme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08542","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.08542/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Ry/Vvomvl9JMS/rGxr454xO9z5uA6Be3sNyNPKdIkc9QK8t7s0IDPTK5sx7qpJQ7xA1g8w7FhFetp/JdrfoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T03:27:39.286074Z"},"content_sha256":"cfec9d6d934d945b39d0f63846abaff129f46a2ac437e137308b08c66d67ecc9","schema_version":"1.0","event_id":"sha256:cfec9d6d934d945b39d0f63846abaff129f46a2ac437e137308b08c66d67ecc9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YO3A3KY65CCFOXDJOE64QVKCL4/bundle.json","state_url":"https://pith.science/pith/YO3A3KY65CCFOXDJOE64QVKCL4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YO3A3KY65CCFOXDJOE64QVKCL4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T03:27:39Z","links":{"resolver":"https://pith.science/pith/YO3A3KY65CCFOXDJOE64QVKCL4","bundle":"https://pith.science/pith/YO3A3KY65CCFOXDJOE64QVKCL4/bundle.json","state":"https://pith.science/pith/YO3A3KY65CCFOXDJOE64QVKCL4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YO3A3KY65CCFOXDJOE64QVKCL4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YO3A3KY65CCFOXDJOE64QVKCL4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cdbc19b2b9e964cec4d30a044391d1d9281f1f08e6d7ac55547ec298407c15c6","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-11T16:59:31Z","title_canon_sha256":"dc6716051b64f0a9fb543f15afaee11944e0eeb71aabf88a8ead3121dd851298"},"schema_version":"1.0","source":{"id":"2412.08542","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08542","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08542v1","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08542","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_12","alias_value":"YO3A3KY65CCF","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_16","alias_value":"YO3A3KY65CCFOXDJ","created_at":"2026-07-05T09:47:51Z"},{"alias_kind":"pith_short_8","alias_value":"YO3A3KY6","created_at":"2026-07-05T09:47:51Z"}],"graph_snapshots":[{"event_id":"sha256:cfec9d6d934d945b39d0f63846abaff129f46a2ac437e137308b08c66d67ecc9","target":"graph","created_at":"2026-07-05T09:47:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.08542/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Describing skills in natural language has the potential to provide an accessible way to inject human knowledge about decision-making into an AI system. We present MaestroMotif, a method for AI-assisted skill design, which yields high-performing and adaptable agents. MaestroMotif leverages the capabilities of Large Language Models (LLMs) to effectively create and reuse skills. It first uses an LLM's feedback to automatically design rewards corresponding to each skill, starting from their natural language description. Then, it employs an LLM's code generation abilities, together with reinforceme","authors_text":"Amy Zhang, Doina Precup, Marlos C. Machado, Martin Klissarov, Mikael Henaff, Pascal Vincent, Pierluca D'Oro, Pierre-Luc Bacon, Roberta Raileanu, Shagun Sodhani","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-11T16:59:31Z","title":"MaestroMotif: Skill Design from Artificial Intelligence Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08542","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:81ee314bf72514098cd1d6b5d82187b21b54e3268686fd3fa22bb84f56a2e4d6","target":"record","created_at":"2026-07-05T09:47:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cdbc19b2b9e964cec4d30a044391d1d9281f1f08e6d7ac55547ec298407c15c6","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-11T16:59:31Z","title_canon_sha256":"dc6716051b64f0a9fb543f15afaee11944e0eeb71aabf88a8ead3121dd851298"},"schema_version":"1.0","source":{"id":"2412.08542","kind":"arxiv","version":1}},"canonical_sha256":"c3b60dab1ee884575c69713dc855425f3a53a2398f0a9c3e3e9a5ad9d3c4a7aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3b60dab1ee884575c69713dc855425f3a53a2398f0a9c3e3e9a5ad9d3c4a7aa","first_computed_at":"2026-07-05T09:47:51.738530Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:51.738530Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8+RPBy3zEhEwHli7ev3oMY+nslqsIEajl7r1Bi+BSHrVBy4WFlzVSH/Yd4xl2UQqJEapoPfbzTg1ipZPDDo2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:51.738998Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08542","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81ee314bf72514098cd1d6b5d82187b21b54e3268686fd3fa22bb84f56a2e4d6","sha256:cfec9d6d934d945b39d0f63846abaff129f46a2ac437e137308b08c66d67ecc9"],"state_sha256":"b68a2fdbde924c32eb1bb4cca8a428da51d45bbf8406b3597bf77becb8208ff8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AV/C7xAM9HJzHqQ1JWBexk4qxBews4BfHqDt08FaGxBQTwDSFdKLrp6UZ8d972gPE5Wu18R5+WeLyo/Nm5K1AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T03:27:39.289741Z","bundle_sha256":"f1426ff59886d33cf5d71e20271c68b45fce2cb76f898217b48ed21a4145fd4d"}}