{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AY535DXFMZSMHUILMA22USWCRC","short_pith_number":"pith:AY535DXF","canonical_record":{"source":{"id":"1801.08365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-25T11:47:42Z","cross_cats_sorted":[],"title_canon_sha256":"ba20301ec98d58cc54f6a25a8fff4da28b37c093b4d5e3d0afa7f77a62ba35cb","abstract_canon_sha256":"de8b19f134284bda945712eb8d30b5c823b20105abd8692e58e4b71573851457"},"schema_version":"1.0"},"canonical_sha256":"063bbe8ee56664c3d10b6035aa4ac288b696d15ac7a2da6adcc39510a188107e","source":{"kind":"arxiv","id":"1801.08365","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.08365","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"arxiv_version","alias_value":"1801.08365v1","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08365","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"pith_short_12","alias_value":"AY535DXFMZSM","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AY535DXFMZSMHUIL","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AY535DXF","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AY535DXFMZSMHUILMA22USWCRC","target":"record","payload":{"canonical_record":{"source":{"id":"1801.08365","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-25T11:47:42Z","cross_cats_sorted":[],"title_canon_sha256":"ba20301ec98d58cc54f6a25a8fff4da28b37c093b4d5e3d0afa7f77a62ba35cb","abstract_canon_sha256":"de8b19f134284bda945712eb8d30b5c823b20105abd8692e58e4b71573851457"},"schema_version":"1.0"},"canonical_sha256":"063bbe8ee56664c3d10b6035aa4ac288b696d15ac7a2da6adcc39510a188107e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:06.496292Z","signature_b64":"XDSEe5I005BzseyvujtPoL2klEs5dq3OgnCcVl/eWB7YkDyaAKV0HNgqbJi/BG0p0x3jZ+gF490Cd764g68eCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"063bbe8ee56664c3d10b6035aa4ac288b696d15ac7a2da6adcc39510a188107e","last_reissued_at":"2026-05-18T00:25:06.495683Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:06.495683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.08365","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":"2026-05-18T00:25:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6HlGB5pjJqLN0x9pnP4LTweQJQE+DwbGFYzOXsKFNZyBcIYUE6IJ2K3auUPDeb5+Der4c4Rd5S5DvIOw6waUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T21:22:10.058965Z"},"content_sha256":"feae4e05508e2905e4912864645b745e7452c71c4267b134f4a4f98acd594298","schema_version":"1.0","event_id":"sha256:feae4e05508e2905e4912864645b745e7452c71c4267b134f4a4f98acd594298"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AY535DXFMZSMHUILMA22USWCRC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probabilistic Planning by Probabilistic Programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Vaishak Belle","submitted_at":"2018-01-25T11:47:42Z","abstract_excerpt":"Automated planning is a major topic of research in artificial intelligence, and enjoys a long and distinguished history. The classical paradigm assumes a distinguished initial state, comprised of a set of facts, and is defined over a set of actions which change that state in one way or another. Planning in many real-world settings, however, is much more involved: an agent's knowledge is almost never simply a set of facts that are true, and actions that the agent intends to execute never operate the way they are supposed to. Thus, probabilistic planning attempts to incorporate stochastic models"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08365","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":"2026-05-18T00:25:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjhZm5lLOFfH9mCHozT9JWLU5Wbl/3ffpbXbjuFqEqDRGLAeZzrUTZTAxOj0i0o+RzvATzz/b4I5XutfCR1/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T21:22:10.059330Z"},"content_sha256":"1eda2662317e6d90dbd709141c1ac0bfec530824f101e26828e1d389278fc222","schema_version":"1.0","event_id":"sha256:1eda2662317e6d90dbd709141c1ac0bfec530824f101e26828e1d389278fc222"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AY535DXFMZSMHUILMA22USWCRC/bundle.json","state_url":"https://pith.science/pith/AY535DXFMZSMHUILMA22USWCRC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AY535DXFMZSMHUILMA22USWCRC/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":"2026-06-26T21:22:10Z","links":{"resolver":"https://pith.science/pith/AY535DXFMZSMHUILMA22USWCRC","bundle":"https://pith.science/pith/AY535DXFMZSMHUILMA22USWCRC/bundle.json","state":"https://pith.science/pith/AY535DXFMZSMHUILMA22USWCRC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AY535DXFMZSMHUILMA22USWCRC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AY535DXFMZSMHUILMA22USWCRC","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":"de8b19f134284bda945712eb8d30b5c823b20105abd8692e58e4b71573851457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-25T11:47:42Z","title_canon_sha256":"ba20301ec98d58cc54f6a25a8fff4da28b37c093b4d5e3d0afa7f77a62ba35cb"},"schema_version":"1.0","source":{"id":"1801.08365","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.08365","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"arxiv_version","alias_value":"1801.08365v1","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08365","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"pith_short_12","alias_value":"AY535DXFMZSM","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AY535DXFMZSMHUIL","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AY535DXF","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:1eda2662317e6d90dbd709141c1ac0bfec530824f101e26828e1d389278fc222","target":"graph","created_at":"2026-05-18T00:25:06Z","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":"Automated planning is a major topic of research in artificial intelligence, and enjoys a long and distinguished history. The classical paradigm assumes a distinguished initial state, comprised of a set of facts, and is defined over a set of actions which change that state in one way or another. Planning in many real-world settings, however, is much more involved: an agent's knowledge is almost never simply a set of facts that are true, and actions that the agent intends to execute never operate the way they are supposed to. Thus, probabilistic planning attempts to incorporate stochastic models","authors_text":"Vaishak Belle","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-25T11:47:42Z","title":"Probabilistic Planning by Probabilistic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08365","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:feae4e05508e2905e4912864645b745e7452c71c4267b134f4a4f98acd594298","target":"record","created_at":"2026-05-18T00:25:06Z","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":"de8b19f134284bda945712eb8d30b5c823b20105abd8692e58e4b71573851457","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-01-25T11:47:42Z","title_canon_sha256":"ba20301ec98d58cc54f6a25a8fff4da28b37c093b4d5e3d0afa7f77a62ba35cb"},"schema_version":"1.0","source":{"id":"1801.08365","kind":"arxiv","version":1}},"canonical_sha256":"063bbe8ee56664c3d10b6035aa4ac288b696d15ac7a2da6adcc39510a188107e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"063bbe8ee56664c3d10b6035aa4ac288b696d15ac7a2da6adcc39510a188107e","first_computed_at":"2026-05-18T00:25:06.495683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:25:06.495683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XDSEe5I005BzseyvujtPoL2klEs5dq3OgnCcVl/eWB7YkDyaAKV0HNgqbJi/BG0p0x3jZ+gF490Cd764g68eCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:25:06.496292Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.08365","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:feae4e05508e2905e4912864645b745e7452c71c4267b134f4a4f98acd594298","sha256:1eda2662317e6d90dbd709141c1ac0bfec530824f101e26828e1d389278fc222"],"state_sha256":"239de52df662796c00ff25a00d7ab00f6f486478bfa4eda7661c31e88da19401"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"otJ8UMOwLDKNzccnI4czbSCQa6bZogF6h9I+CnZ7kprre1ZxA6eKql7j9S4a9YPLzbXrjT70qie4XE4MCnoWBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T21:22:10.061215Z","bundle_sha256":"d8b94383e4cbf869c61fe429e6cf01aae8fc77d63d4556819994623fc10ce98b"}}