{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4MUCLMK6EEZ7ZK7AR77SFG3Z3H","short_pith_number":"pith:4MUCLMK6","canonical_record":{"source":{"id":"1707.06756","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-21T04:39:10Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ME"],"title_canon_sha256":"3c319d205f868b1a41d0ac0e4b56cfa904d8d58228546a8138969b323ae4aed9","abstract_canon_sha256":"7c707fb251b0bbdfe53b979fffa7e96abe0a34e7a64c811b5c0ddae01b22f77b"},"schema_version":"1.0"},"canonical_sha256":"e32825b15e2133fcabe08fff229b79d9cce6cf42e4e24efe5504fe89067835f8","source":{"kind":"arxiv","id":"1707.06756","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06756","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06756v1","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06756","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"4MUCLMK6EEZ7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4MUCLMK6EEZ7ZK7A","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4MUCLMK6","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4MUCLMK6EEZ7ZK7AR77SFG3Z3H","target":"record","payload":{"canonical_record":{"source":{"id":"1707.06756","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-21T04:39:10Z","cross_cats_sorted":["cs.AI","cs.LG","stat.ME"],"title_canon_sha256":"3c319d205f868b1a41d0ac0e4b56cfa904d8d58228546a8138969b323ae4aed9","abstract_canon_sha256":"7c707fb251b0bbdfe53b979fffa7e96abe0a34e7a64c811b5c0ddae01b22f77b"},"schema_version":"1.0"},"canonical_sha256":"e32825b15e2133fcabe08fff229b79d9cce6cf42e4e24efe5504fe89067835f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:51.750288Z","signature_b64":"O4CpX6TSD4P1krPjvC0F/UaqMDqui7cFvaKWs5zgZCTtkbXtJmZS99sF0kQuyls9GrZsoWXrZdnXRqlBTUFuBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e32825b15e2133fcabe08fff229b79d9cce6cf42e4e24efe5504fe89067835f8","last_reissued_at":"2026-05-18T00:39:51.749665Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:51.749665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.06756","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":"2026-05-18T00:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kFhpjBn7iZeKNuHG4LplVlHiCqBWyAiMB55kM2P0CAD+2AsbbgJ3h7bYVZ3If5H2eB7xDcsozsKzbKlQiVTNBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:33:02.177156Z"},"content_sha256":"cd840d470832c7239f80794411d2cf303d44560b4a4be012eae07b64d7f03dca","schema_version":"1.0","event_id":"sha256:cd840d470832c7239f80794411d2cf303d44560b4a4be012eae07b64d7f03dca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4MUCLMK6EEZ7ZK7AR77SFG3Z3H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Infinite Hidden Markov Model With Similarity-Biased Transitions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","stat.ME"],"primary_cat":"stat.ML","authors_text":"Chaofan Huang, Clayton T. Morrison, Colin Reimer Dawson","submitted_at":"2017-07-21T04:39:10Z","abstract_excerpt":"We describe a generalization of the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) which is able to encode prior information that state transitions are more likely between \"nearby\" states. This is accomplished by defining a similarity function on the state space and scaling transition probabilities by pair-wise similarities, thereby inducing correlations among the transition distributions. We present an augmented data representation of the model as a Markov Jump Process in which: (1) some jump attempts fail, and (2) the probability of success is proportional to the similarity bet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06756","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":"2026-05-18T00:39:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ANpMOd4nX7TGO7ezENmHmj4yOrbd1w23TIXFJYFbqhwPbdgKkpREwcsVLaqe9x8TP48PGmTZpivAsKwfNeO8Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:33:02.177860Z"},"content_sha256":"e89424234f4ab49986e630c18aceca2b0fc7d3c3bcb59c48365a6c58dc93bef2","schema_version":"1.0","event_id":"sha256:e89424234f4ab49986e630c18aceca2b0fc7d3c3bcb59c48365a6c58dc93bef2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/bundle.json","state_url":"https://pith.science/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/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":"2026-06-01T11:33:02Z","links":{"resolver":"https://pith.science/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H","bundle":"https://pith.science/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/bundle.json","state":"https://pith.science/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4MUCLMK6EEZ7ZK7AR77SFG3Z3H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4MUCLMK6EEZ7ZK7AR77SFG3Z3H","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":"7c707fb251b0bbdfe53b979fffa7e96abe0a34e7a64c811b5c0ddae01b22f77b","cross_cats_sorted":["cs.AI","cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-21T04:39:10Z","title_canon_sha256":"3c319d205f868b1a41d0ac0e4b56cfa904d8d58228546a8138969b323ae4aed9"},"schema_version":"1.0","source":{"id":"1707.06756","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06756","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06756v1","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06756","created_at":"2026-05-18T00:39:51Z"},{"alias_kind":"pith_short_12","alias_value":"4MUCLMK6EEZ7","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4MUCLMK6EEZ7ZK7A","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4MUCLMK6","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:e89424234f4ab49986e630c18aceca2b0fc7d3c3bcb59c48365a6c58dc93bef2","target":"graph","created_at":"2026-05-18T00:39:51Z","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 describe a generalization of the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) which is able to encode prior information that state transitions are more likely between \"nearby\" states. This is accomplished by defining a similarity function on the state space and scaling transition probabilities by pair-wise similarities, thereby inducing correlations among the transition distributions. We present an augmented data representation of the model as a Markov Jump Process in which: (1) some jump attempts fail, and (2) the probability of success is proportional to the similarity bet","authors_text":"Chaofan Huang, Clayton T. Morrison, Colin Reimer Dawson","cross_cats":["cs.AI","cs.LG","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-21T04:39:10Z","title":"An Infinite Hidden Markov Model With Similarity-Biased Transitions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06756","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:cd840d470832c7239f80794411d2cf303d44560b4a4be012eae07b64d7f03dca","target":"record","created_at":"2026-05-18T00:39:51Z","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":"7c707fb251b0bbdfe53b979fffa7e96abe0a34e7a64c811b5c0ddae01b22f77b","cross_cats_sorted":["cs.AI","cs.LG","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-21T04:39:10Z","title_canon_sha256":"3c319d205f868b1a41d0ac0e4b56cfa904d8d58228546a8138969b323ae4aed9"},"schema_version":"1.0","source":{"id":"1707.06756","kind":"arxiv","version":1}},"canonical_sha256":"e32825b15e2133fcabe08fff229b79d9cce6cf42e4e24efe5504fe89067835f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e32825b15e2133fcabe08fff229b79d9cce6cf42e4e24efe5504fe89067835f8","first_computed_at":"2026-05-18T00:39:51.749665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:51.749665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O4CpX6TSD4P1krPjvC0F/UaqMDqui7cFvaKWs5zgZCTtkbXtJmZS99sF0kQuyls9GrZsoWXrZdnXRqlBTUFuBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:51.750288Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.06756","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd840d470832c7239f80794411d2cf303d44560b4a4be012eae07b64d7f03dca","sha256:e89424234f4ab49986e630c18aceca2b0fc7d3c3bcb59c48365a6c58dc93bef2"],"state_sha256":"29059db2cbad4e83b0c5feb4bcf9af58e1af71d5c07cce3933ab8a1efc0a3b50"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OaAHlCtIHHHnewHtfhk2rQhbEuPaY40VfRcrZu8FFTbJay+sBrvflABRbRFzYJZWiHH3pHuTewvvELZO93LcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:33:02.180953Z","bundle_sha256":"4047b2a5167d0649367b81c7e5779f38db6560336aa8deaab6f65bbf22b327fa"}}