{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:PQF7LGXWNQBIL7I2MJZSLMSCWO","short_pith_number":"pith:PQF7LGXW","canonical_record":{"source":{"id":"1506.03624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-06-11T11:06:40Z","cross_cats_sorted":[],"title_canon_sha256":"68ef600086e061771a60c5430cdd9b6fe2a94ec0cd14838984a9888113c6d223","abstract_canon_sha256":"638184606c71fa143b77e7db5a223419c064ebaeb21182b6052ce1a4381d3916"},"schema_version":"1.0"},"canonical_sha256":"7c0bf59af66c0285fd1a627325b242b3a248fcb43ae0e9bdd751f011af5f7abd","source":{"kind":"arxiv","id":"1506.03624","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.03624","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"arxiv_version","alias_value":"1506.03624v1","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.03624","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"pith_short_12","alias_value":"PQF7LGXWNQBI","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PQF7LGXWNQBIL7I2","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PQF7LGXW","created_at":"2026-05-18T12:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:PQF7LGXWNQBIL7I2MJZSLMSCWO","target":"record","payload":{"canonical_record":{"source":{"id":"1506.03624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-06-11T11:06:40Z","cross_cats_sorted":[],"title_canon_sha256":"68ef600086e061771a60c5430cdd9b6fe2a94ec0cd14838984a9888113c6d223","abstract_canon_sha256":"638184606c71fa143b77e7db5a223419c064ebaeb21182b6052ce1a4381d3916"},"schema_version":"1.0"},"canonical_sha256":"7c0bf59af66c0285fd1a627325b242b3a248fcb43ae0e9bdd751f011af5f7abd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:53:03.645165Z","signature_b64":"1vIjkSbNhsux0ZEsCb3n+EieOZXksxy2GAWo3K7zOOjejbiconPP3z/yiUgt8Gm3rBWz7u9Gs+FtC77fUGX0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c0bf59af66c0285fd1a627325b242b3a248fcb43ae0e9bdd751f011af5f7abd","last_reissued_at":"2026-05-18T01:53:03.644718Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:53:03.644718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1506.03624","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":"2026-05-18T01:53:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NciLBteVbwj0MxAsiQg8ZMhxHCbbv/uxCWMXoyh94VHlDw2zbwiaX+O7pSIbWAnLQHmYhxo5l0bhlamPV3qVAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T22:00:57.444140Z"},"content_sha256":"9580878febdc19ebf195df3e976bc418780404d6e1d37749561885b920f0369f","schema_version":"1.0","event_id":"sha256:9580878febdc19ebf195df3e976bc418780404d6e1d37749561885b920f0369f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:PQF7LGXWNQBIL7I2MJZSLMSCWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bootstrapping Skills","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Daniel J. Mankowitz, Shie Mannor, Timothy A. Mann","submitted_at":"2015-06-11T11:06:40Z","abstract_excerpt":"The monolithic approach to policy representation in Markov Decision Processes (MDPs) looks for a single policy that can be represented as a function from states to actions. For the monolithic approach to succeed (and this is not always possible), a complex feature representation is often necessary since the policy is a complex object that has to prescribe what actions to take all over the state space. This is especially true in large domains with complicated dynamics. It is also computationally inefficient to both learn and plan in MDPs using a complex monolithic approach. We present a differe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.03624","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":""},"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":"2026-05-18T01:53:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ED7u0CfJi87+M+CJBuLw/CpkaGp6mFUAqQJToD/7twOMm862yzDS6bn78cGOsuEnRCCEMOrd9qFbw4Xy4SXeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T22:00:57.444844Z"},"content_sha256":"2e20579caff87f21a5fb8c91b2d52b584574c1514dc72ce0dfd3ae76ed4d3ec6","schema_version":"1.0","event_id":"sha256:2e20579caff87f21a5fb8c91b2d52b584574c1514dc72ce0dfd3ae76ed4d3ec6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/bundle.json","state_url":"https://pith.science/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/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":"2026-05-20T22:00:57Z","links":{"resolver":"https://pith.science/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO","bundle":"https://pith.science/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/bundle.json","state":"https://pith.science/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PQF7LGXWNQBIL7I2MJZSLMSCWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:PQF7LGXWNQBIL7I2MJZSLMSCWO","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":"638184606c71fa143b77e7db5a223419c064ebaeb21182b6052ce1a4381d3916","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-06-11T11:06:40Z","title_canon_sha256":"68ef600086e061771a60c5430cdd9b6fe2a94ec0cd14838984a9888113c6d223"},"schema_version":"1.0","source":{"id":"1506.03624","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1506.03624","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"arxiv_version","alias_value":"1506.03624v1","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.03624","created_at":"2026-05-18T01:53:03Z"},{"alias_kind":"pith_short_12","alias_value":"PQF7LGXWNQBI","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PQF7LGXWNQBIL7I2","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PQF7LGXW","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:2e20579caff87f21a5fb8c91b2d52b584574c1514dc72ce0dfd3ae76ed4d3ec6","target":"graph","created_at":"2026-05-18T01:53:03Z","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"},"paper":{"abstract_excerpt":"The monolithic approach to policy representation in Markov Decision Processes (MDPs) looks for a single policy that can be represented as a function from states to actions. For the monolithic approach to succeed (and this is not always possible), a complex feature representation is often necessary since the policy is a complex object that has to prescribe what actions to take all over the state space. This is especially true in large domains with complicated dynamics. It is also computationally inefficient to both learn and plan in MDPs using a complex monolithic approach. We present a differe","authors_text":"Daniel J. Mankowitz, Shie Mannor, Timothy A. Mann","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-06-11T11:06:40Z","title":"Bootstrapping Skills"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.03624","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":"sha256:9580878febdc19ebf195df3e976bc418780404d6e1d37749561885b920f0369f","target":"record","created_at":"2026-05-18T01:53:03Z","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":"638184606c71fa143b77e7db5a223419c064ebaeb21182b6052ce1a4381d3916","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-06-11T11:06:40Z","title_canon_sha256":"68ef600086e061771a60c5430cdd9b6fe2a94ec0cd14838984a9888113c6d223"},"schema_version":"1.0","source":{"id":"1506.03624","kind":"arxiv","version":1}},"canonical_sha256":"7c0bf59af66c0285fd1a627325b242b3a248fcb43ae0e9bdd751f011af5f7abd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c0bf59af66c0285fd1a627325b242b3a248fcb43ae0e9bdd751f011af5f7abd","first_computed_at":"2026-05-18T01:53:03.644718Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:53:03.644718Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1vIjkSbNhsux0ZEsCb3n+EieOZXksxy2GAWo3K7zOOjejbiconPP3z/yiUgt8Gm3rBWz7u9Gs+FtC77fUGX0BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:53:03.645165Z","signed_message":"canonical_sha256_bytes"},"source_id":"1506.03624","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9580878febdc19ebf195df3e976bc418780404d6e1d37749561885b920f0369f","sha256:2e20579caff87f21a5fb8c91b2d52b584574c1514dc72ce0dfd3ae76ed4d3ec6"],"state_sha256":"cfa60008030e588dfc9b19d2ab3ecaaa0a6ba40f3afe99c14e82a317210bdb2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uz2Cd7ZOam0CqIMat4GYqa2bRLqB6CrogYSRML1HitVkJUKDGIXF0MxsoOc3xt0WsBJ5+H8NRjqKBDfBPzoHAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T22:00:57.449058Z","bundle_sha256":"d35183230598f04a41af12b8c4143fab1f64c0868c99f1299ce9abbb10fdd765"}}