{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:U4LZUJEYQ73HH633RBN3C53XG4","short_pith_number":"pith:U4LZUJEY","canonical_record":{"source":{"id":"1907.04457","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-07-09T23:22:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d658df758bb7c4270e875cadd6de26d88b140598154ec533a64723ece48def3b","abstract_canon_sha256":"91996c01314ab4dadc8ba81c9b3eaecc807caa5a98a8bd19d1dd6b8bed77ece4"},"schema_version":"1.0"},"canonical_sha256":"a7179a249887f673fb7b885bb17777373b0d0ef13c8be634f63d1fd99a9fc764","source":{"kind":"arxiv","id":"1907.04457","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.04457","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"arxiv_version","alias_value":"1907.04457v1","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04457","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"pith_short_12","alias_value":"U4LZUJEYQ73H","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U4LZUJEYQ73HH633","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U4LZUJEY","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:U4LZUJEYQ73HH633RBN3C53XG4","target":"record","payload":{"canonical_record":{"source":{"id":"1907.04457","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-07-09T23:22:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d658df758bb7c4270e875cadd6de26d88b140598154ec533a64723ece48def3b","abstract_canon_sha256":"91996c01314ab4dadc8ba81c9b3eaecc807caa5a98a8bd19d1dd6b8bed77ece4"},"schema_version":"1.0"},"canonical_sha256":"a7179a249887f673fb7b885bb17777373b0d0ef13c8be634f63d1fd99a9fc764","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:00.267760Z","signature_b64":"nobcGK3xquTZi96UHuB3MUn2+n3MH/NOsYpyS2UZWBtg/ihLRKtnMt+EDaz8JQwvyMB2c9jUrKqA8SAD/HBsDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7179a249887f673fb7b885bb17777373b0d0ef13c8be634f63d1fd99a9fc764","last_reissued_at":"2026-05-17T23:41:00.267274Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:00.267274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.04457","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":"2026-05-17T23:41:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vxYrmrlsMmBDm9EUdYvgoVn85ia5hCDDJfl5psmGsIV7xs4MzMdCcHnhpHhppTzyjvZ9ZT/eiY1HccloyHgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:40:56.684072Z"},"content_sha256":"99b585456698ae2ba27840a58f0be3123f7a23362caddbac1a9439859ef36176","schema_version":"1.0","event_id":"sha256:99b585456698ae2ba27840a58f0be3123f7a23362caddbac1a9439859ef36176"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:U4LZUJEYQ73HH633RBN3C53XG4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Hanna Kurniawati, Nicholas Collins","submitted_at":"2019-07-09T23:22:42Z","abstract_excerpt":"We propose a neural network architecture, called TransNet, that combines planning and model learning for solving Partially Observable Markov Decision Processes (POMDPs) with non-uniform system dynamics. The past decade has seen a substantial advancement in solving POMDP problems. However, constructing a suitable POMDP model remains difficult. Recently, neural network architectures have been proposed to alleviate the difficulty in acquiring such models. Although the results are promising, existing architectures restrict the type of system dynamics that can be learned --that is, system dynamics "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04457","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":"2026-05-17T23:41:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6pqA2pBwTLjJLV5+6sDAwo1/EkC6gPlu5333AXxj10cjgE9IUesBI4s3vz9nP26UcbNv/8ANV6ZOEr2QZFXgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T03:40:56.684468Z"},"content_sha256":"8d9c38d1af73bf78b8ec372f7f06b813a290283d49c5f1b60c861977770ad7b3","schema_version":"1.0","event_id":"sha256:8d9c38d1af73bf78b8ec372f7f06b813a290283d49c5f1b60c861977770ad7b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U4LZUJEYQ73HH633RBN3C53XG4/bundle.json","state_url":"https://pith.science/pith/U4LZUJEYQ73HH633RBN3C53XG4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U4LZUJEYQ73HH633RBN3C53XG4/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":"2026-05-26T03:40:56Z","links":{"resolver":"https://pith.science/pith/U4LZUJEYQ73HH633RBN3C53XG4","bundle":"https://pith.science/pith/U4LZUJEYQ73HH633RBN3C53XG4/bundle.json","state":"https://pith.science/pith/U4LZUJEYQ73HH633RBN3C53XG4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U4LZUJEYQ73HH633RBN3C53XG4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U4LZUJEYQ73HH633RBN3C53XG4","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":"91996c01314ab4dadc8ba81c9b3eaecc807caa5a98a8bd19d1dd6b8bed77ece4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-07-09T23:22:42Z","title_canon_sha256":"d658df758bb7c4270e875cadd6de26d88b140598154ec533a64723ece48def3b"},"schema_version":"1.0","source":{"id":"1907.04457","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.04457","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"arxiv_version","alias_value":"1907.04457v1","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04457","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"pith_short_12","alias_value":"U4LZUJEYQ73H","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U4LZUJEYQ73HH633","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U4LZUJEY","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:8d9c38d1af73bf78b8ec372f7f06b813a290283d49c5f1b60c861977770ad7b3","target":"graph","created_at":"2026-05-17T23:41:00Z","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 propose a neural network architecture, called TransNet, that combines planning and model learning for solving Partially Observable Markov Decision Processes (POMDPs) with non-uniform system dynamics. The past decade has seen a substantial advancement in solving POMDP problems. However, constructing a suitable POMDP model remains difficult. Recently, neural network architectures have been proposed to alleviate the difficulty in acquiring such models. Although the results are promising, existing architectures restrict the type of system dynamics that can be learned --that is, system dynamics ","authors_text":"Hanna Kurniawati, Nicholas Collins","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-07-09T23:22:42Z","title":"Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04457","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":"sha256:99b585456698ae2ba27840a58f0be3123f7a23362caddbac1a9439859ef36176","target":"record","created_at":"2026-05-17T23:41:00Z","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":"91996c01314ab4dadc8ba81c9b3eaecc807caa5a98a8bd19d1dd6b8bed77ece4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2019-07-09T23:22:42Z","title_canon_sha256":"d658df758bb7c4270e875cadd6de26d88b140598154ec533a64723ece48def3b"},"schema_version":"1.0","source":{"id":"1907.04457","kind":"arxiv","version":1}},"canonical_sha256":"a7179a249887f673fb7b885bb17777373b0d0ef13c8be634f63d1fd99a9fc764","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7179a249887f673fb7b885bb17777373b0d0ef13c8be634f63d1fd99a9fc764","first_computed_at":"2026-05-17T23:41:00.267274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:00.267274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nobcGK3xquTZi96UHuB3MUn2+n3MH/NOsYpyS2UZWBtg/ihLRKtnMt+EDaz8JQwvyMB2c9jUrKqA8SAD/HBsDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:00.267760Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.04457","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:99b585456698ae2ba27840a58f0be3123f7a23362caddbac1a9439859ef36176","sha256:8d9c38d1af73bf78b8ec372f7f06b813a290283d49c5f1b60c861977770ad7b3"],"state_sha256":"544bb9c20044c7ba319d9a0ac30228460e9de5b67626c45d1c7dc93c209901b4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qpSrKQy6+WAVnjb6/Grj/WqJG9Ip3sC2NFqDdReLmJnrhukmEmrN+hlNWN52ODIyKsuODb+lsVgTSILqHLFDDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T03:40:56.687254Z","bundle_sha256":"adeaea4f203e01c8f424d50cc9942bd2ebce64aaef46509e60eccedc946d733b"}}