{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:XZWIOJAXNFH7F5Q4B2MGNJEERE","short_pith_number":"pith:XZWIOJAX","canonical_record":{"source":{"id":"1605.01018","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-05-03T18:43:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"57fac257f2a176394b19ed6a62c04bfc0132bb31b5c8fdd5d65f7b97342f6d2c","abstract_canon_sha256":"7ca7879d583f3d714daa297c81cc4a767480e49fb41023c7579fa77417fd928a"},"schema_version":"1.0"},"canonical_sha256":"be6c872417694ff2f61c0e9866a484893aad7306f4fcef9b38375d8ec2dfbc2f","source":{"kind":"arxiv","id":"1605.01018","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.01018","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1605.01018v3","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.01018","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"XZWIOJAXNFH7","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"XZWIOJAXNFH7F5Q4","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"XZWIOJAX","created_at":"2026-05-18T12:30:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:XZWIOJAXNFH7F5Q4B2MGNJEERE","target":"record","payload":{"canonical_record":{"source":{"id":"1605.01018","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-05-03T18:43:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"57fac257f2a176394b19ed6a62c04bfc0132bb31b5c8fdd5d65f7b97342f6d2c","abstract_canon_sha256":"7ca7879d583f3d714daa297c81cc4a767480e49fb41023c7579fa77417fd928a"},"schema_version":"1.0"},"canonical_sha256":"be6c872417694ff2f61c0e9866a484893aad7306f4fcef9b38375d8ec2dfbc2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:43.263841Z","signature_b64":"QxTikN0jlmOCndVUT2ZSRh/Ko9Y78rVntJT6fng/qmiyo4B9HaTQnjEGr1Rz/YOUA8PQFAca6pCH0fvI3Q3tCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be6c872417694ff2f61c0e9866a484893aad7306f4fcef9b38375d8ec2dfbc2f","last_reissued_at":"2026-05-17T23:56:43.263469Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:43.263469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.01018","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K4vc6ty8kkAn1pWTsW+YVPSCRUOzFe2g8koYUir4rWzfePvRWKxsCAEWgqCtWKJOCreYYCblYc4m/4qWcndjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:53:11.728789Z"},"content_sha256":"5e1c5e1b6e3ef9abf3411d7670cfe520912f5c16aac8f0288e8e383103d20cbc","schema_version":"1.0","event_id":"sha256:5e1c5e1b6e3ef9abf3411d7670cfe520912f5c16aac8f0288e8e383103d20cbc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:XZWIOJAXNFH7F5Q4B2MGNJEERE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Solution to Time-Varying Markov Decision Processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Gaurav S. Sukhatme, Lantao Liu","submitted_at":"2016-05-03T18:43:58Z","abstract_excerpt":"We consider a decision-making problem where the environment varies both in space and time. Such problems arise naturally when considering e.g., the navigation of an underwater robot amidst ocean currents or the navigation of an aerial vehicle in wind. To model such spatiotemporal variation, we extend the standard Markov Decision Process (MDP) to a new framework called the Time-Varying Markov Decision Process (TVMDP). The TVMDP has a time-varying state transition model and transforms the standard MDP that considers only immediate and static uncertainty descriptions of state transitions, to a fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.01018","kind":"arxiv","version":3},"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":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gfd4rwlYxSzy9dRxrZ9xxu3wjzETOk/MrAB+lLx7rQuYokr8T+7i/EF7Xq42nSZPj9YGhQCWkBlLOtv5Y2V0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:53:11.729136Z"},"content_sha256":"fa1923d774c0873fb19817d6626b83fb355ac3bbf02bb08ed9b1383de1051ab0","schema_version":"1.0","event_id":"sha256:fa1923d774c0873fb19817d6626b83fb355ac3bbf02bb08ed9b1383de1051ab0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/bundle.json","state_url":"https://pith.science/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/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":"2026-06-09T14:53:11Z","links":{"resolver":"https://pith.science/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE","bundle":"https://pith.science/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/bundle.json","state":"https://pith.science/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XZWIOJAXNFH7F5Q4B2MGNJEERE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:XZWIOJAXNFH7F5Q4B2MGNJEERE","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":"7ca7879d583f3d714daa297c81cc4a767480e49fb41023c7579fa77417fd928a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-05-03T18:43:58Z","title_canon_sha256":"57fac257f2a176394b19ed6a62c04bfc0132bb31b5c8fdd5d65f7b97342f6d2c"},"schema_version":"1.0","source":{"id":"1605.01018","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.01018","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1605.01018v3","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.01018","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"XZWIOJAXNFH7","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"XZWIOJAXNFH7F5Q4","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"XZWIOJAX","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:fa1923d774c0873fb19817d6626b83fb355ac3bbf02bb08ed9b1383de1051ab0","target":"graph","created_at":"2026-05-17T23:56:43Z","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":"We consider a decision-making problem where the environment varies both in space and time. Such problems arise naturally when considering e.g., the navigation of an underwater robot amidst ocean currents or the navigation of an aerial vehicle in wind. To model such spatiotemporal variation, we extend the standard Markov Decision Process (MDP) to a new framework called the Time-Varying Markov Decision Process (TVMDP). The TVMDP has a time-varying state transition model and transforms the standard MDP that considers only immediate and static uncertainty descriptions of state transitions, to a fr","authors_text":"Gaurav S. Sukhatme, Lantao Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-05-03T18:43:58Z","title":"A Solution to Time-Varying Markov Decision Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.01018","kind":"arxiv","version":3},"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":"sha256:5e1c5e1b6e3ef9abf3411d7670cfe520912f5c16aac8f0288e8e383103d20cbc","target":"record","created_at":"2026-05-17T23:56:43Z","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":"7ca7879d583f3d714daa297c81cc4a767480e49fb41023c7579fa77417fd928a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-05-03T18:43:58Z","title_canon_sha256":"57fac257f2a176394b19ed6a62c04bfc0132bb31b5c8fdd5d65f7b97342f6d2c"},"schema_version":"1.0","source":{"id":"1605.01018","kind":"arxiv","version":3}},"canonical_sha256":"be6c872417694ff2f61c0e9866a484893aad7306f4fcef9b38375d8ec2dfbc2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be6c872417694ff2f61c0e9866a484893aad7306f4fcef9b38375d8ec2dfbc2f","first_computed_at":"2026-05-17T23:56:43.263469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:43.263469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QxTikN0jlmOCndVUT2ZSRh/Ko9Y78rVntJT6fng/qmiyo4B9HaTQnjEGr1Rz/YOUA8PQFAca6pCH0fvI3Q3tCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:43.263841Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.01018","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e1c5e1b6e3ef9abf3411d7670cfe520912f5c16aac8f0288e8e383103d20cbc","sha256:fa1923d774c0873fb19817d6626b83fb355ac3bbf02bb08ed9b1383de1051ab0"],"state_sha256":"e37307442da8296ea01cf611ebd721623674ce5f87fe1b10f66d9f6ef4f9fba1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RRXVdTlWOpQAS4+DnINJoBClW9psU2P/gMZExI2rwcdpaLq0MqALYYTCqXOXrH8AuQRg5+UGJ2sQnMqKBohKBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T14:53:11.731113Z","bundle_sha256":"8c98242bc083eb00326e22891fbad5e9c89e0bd1cd90b4c230f5fa32eba6cdea"}}