{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:2QTLTVUKRSATROPPPHM2XCEKHU","short_pith_number":"pith:2QTLTVUK","canonical_record":{"source":{"id":"1609.03250","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-09-12T02:12:13Z","cross_cats_sorted":[],"title_canon_sha256":"df7a4e3852839d7d05b0f0000dbad40f39465d0746c963360f61a3d8fcd855c6","abstract_canon_sha256":"7fceec8ec95fead09b5e7d99f4a64760d9ebc9b658db3b411c9bf57474310309"},"schema_version":"1.0"},"canonical_sha256":"d426b9d68a8c8138b9ef79d9ab888a3d206e5e97d61699a933dc27d5cbc173b8","source":{"kind":"arxiv","id":"1609.03250","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.03250","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"1609.03250v3","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.03250","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"2QTLTVUKRSAT","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2QTLTVUKRSATROPP","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2QTLTVUK","created_at":"2026-05-18T12:29:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:2QTLTVUKRSATROPPPHM2XCEKHU","target":"record","payload":{"canonical_record":{"source":{"id":"1609.03250","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-09-12T02:12:13Z","cross_cats_sorted":[],"title_canon_sha256":"df7a4e3852839d7d05b0f0000dbad40f39465d0746c963360f61a3d8fcd855c6","abstract_canon_sha256":"7fceec8ec95fead09b5e7d99f4a64760d9ebc9b658db3b411c9bf57474310309"},"schema_version":"1.0"},"canonical_sha256":"d426b9d68a8c8138b9ef79d9ab888a3d206e5e97d61699a933dc27d5cbc173b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:57.791973Z","signature_b64":"vFfJ+iWyQbKKW23312Re2m7FqP79AvbAfoEdebCVs6BEVXTv2yoPjlQPfaETd804NXK61tYWh8LVSKE/K+HcDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d426b9d68a8c8138b9ef79d9ab888a3d206e5e97d61699a933dc27d5cbc173b8","last_reissued_at":"2026-05-18T00:34:57.791258Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:57.791258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1609.03250","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":"2026-05-18T00:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l0CJEoDGXMKQtu5MAbSx8z1vHGMxXVaJ5eDmRHEX4dWEt5fcv4MFN8D87qmUvkj+574h3dIL6Ndwh5vkZAkaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T02:28:05.917610Z"},"content_sha256":"06ac4d43aa707d8a986cebf35e55b5f659c8886dc18fe81d1f4d05d2b0fdb62a","schema_version":"1.0","event_id":"sha256:06ac4d43aa707d8a986cebf35e55b5f659c8886dc18fe81d1f4d05d2b0fdb62a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:2QTLTVUKRSATROPPPHM2XCEKHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DESPOT: Online POMDP Planning with Regularization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Adhiraj Somani, David Hsu, Nan Ye, Wee Sun Lee","submitted_at":"2016-09-12T02:12:13Z","abstract_excerpt":"The partially observable Markov decision process (POMDP) provides a principled general framework for planning under uncertainty, but solving POMDPs optimally is computationally intractable, due to the \"curse of dimensionality\" and the \"curse of history\". To overcome these challenges, we introduce the Determinized Sparse Partially Observable Tree (DESPOT), a sparse approximation of the standard belief tree, for online planning under uncertainty. A DESPOT focuses online planning on a set of randomly sampled scenarios and compactly captures the \"execution\" of all policies under these scenarios. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.03250","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":"2026-05-18T00:34:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uHXKmPbTmRwESeREkz0voIF1pYcPoXNx+tHBxMDE1y20C+TiLdXrM/EzPnOhYEcH0Msf7KUMGsGAyTI4VMacDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T02:28:05.917957Z"},"content_sha256":"b069b57bbdbea40ef78b191769318fdebf8a8ec800874c97dc366bcea57e8dd2","schema_version":"1.0","event_id":"sha256:b069b57bbdbea40ef78b191769318fdebf8a8ec800874c97dc366bcea57e8dd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QTLTVUKRSATROPPPHM2XCEKHU/bundle.json","state_url":"https://pith.science/pith/2QTLTVUKRSATROPPPHM2XCEKHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QTLTVUKRSATROPPPHM2XCEKHU/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":"2026-05-28T02:28:05Z","links":{"resolver":"https://pith.science/pith/2QTLTVUKRSATROPPPHM2XCEKHU","bundle":"https://pith.science/pith/2QTLTVUKRSATROPPPHM2XCEKHU/bundle.json","state":"https://pith.science/pith/2QTLTVUKRSATROPPPHM2XCEKHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QTLTVUKRSATROPPPHM2XCEKHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:2QTLTVUKRSATROPPPHM2XCEKHU","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":"7fceec8ec95fead09b5e7d99f4a64760d9ebc9b658db3b411c9bf57474310309","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-09-12T02:12:13Z","title_canon_sha256":"df7a4e3852839d7d05b0f0000dbad40f39465d0746c963360f61a3d8fcd855c6"},"schema_version":"1.0","source":{"id":"1609.03250","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.03250","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"1609.03250v3","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.03250","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"2QTLTVUKRSAT","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_16","alias_value":"2QTLTVUKRSATROPP","created_at":"2026-05-18T12:29:55Z"},{"alias_kind":"pith_short_8","alias_value":"2QTLTVUK","created_at":"2026-05-18T12:29:55Z"}],"graph_snapshots":[{"event_id":"sha256:b069b57bbdbea40ef78b191769318fdebf8a8ec800874c97dc366bcea57e8dd2","target":"graph","created_at":"2026-05-18T00:34:57Z","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 partially observable Markov decision process (POMDP) provides a principled general framework for planning under uncertainty, but solving POMDPs optimally is computationally intractable, due to the \"curse of dimensionality\" and the \"curse of history\". To overcome these challenges, we introduce the Determinized Sparse Partially Observable Tree (DESPOT), a sparse approximation of the standard belief tree, for online planning under uncertainty. A DESPOT focuses online planning on a set of randomly sampled scenarios and compactly captures the \"execution\" of all policies under these scenarios. W","authors_text":"Adhiraj Somani, David Hsu, Nan Ye, Wee Sun Lee","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-09-12T02:12:13Z","title":"DESPOT: Online POMDP Planning with Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.03250","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":"sha256:06ac4d43aa707d8a986cebf35e55b5f659c8886dc18fe81d1f4d05d2b0fdb62a","target":"record","created_at":"2026-05-18T00:34:57Z","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":"7fceec8ec95fead09b5e7d99f4a64760d9ebc9b658db3b411c9bf57474310309","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-09-12T02:12:13Z","title_canon_sha256":"df7a4e3852839d7d05b0f0000dbad40f39465d0746c963360f61a3d8fcd855c6"},"schema_version":"1.0","source":{"id":"1609.03250","kind":"arxiv","version":3}},"canonical_sha256":"d426b9d68a8c8138b9ef79d9ab888a3d206e5e97d61699a933dc27d5cbc173b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d426b9d68a8c8138b9ef79d9ab888a3d206e5e97d61699a933dc27d5cbc173b8","first_computed_at":"2026-05-18T00:34:57.791258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:57.791258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vFfJ+iWyQbKKW23312Re2m7FqP79AvbAfoEdebCVs6BEVXTv2yoPjlQPfaETd804NXK61tYWh8LVSKE/K+HcDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:57.791973Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.03250","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06ac4d43aa707d8a986cebf35e55b5f659c8886dc18fe81d1f4d05d2b0fdb62a","sha256:b069b57bbdbea40ef78b191769318fdebf8a8ec800874c97dc366bcea57e8dd2"],"state_sha256":"24fa5375158805da9567732b8cc1a60b07c08d947e918cfe863e4cf11be18a97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ypyAa7w7kq25K5XcFmfkbytMcWh4yHg8+mWGK0uv/P1yUJ9CjeRTOX+CpN/C2zUoUMIjZoX3PH4bKYAFdMS7AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T02:28:05.919865Z","bundle_sha256":"9e341b29badb7108cd9da7dd608979cc59599c518fd8d4c43b7aab56e1dadbd4"}}