{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XIBP4CUFTWLN7CYZWXFDH7UFSL","short_pith_number":"pith:XIBP4CUF","canonical_record":{"source":{"id":"1906.08733","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-20T16:25:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"670768deffdac9c281ce0cd8c443ce1990fa67f4d1270bde287246cff8c3cbb8","abstract_canon_sha256":"56aff7ef02e0d7c4ad16efc8c20c9d5d6b884e643e52303987f48267280735b0"},"schema_version":"1.0"},"canonical_sha256":"ba02fe0a859d96df8b19b5ca33fe8592e25246fd28a0afdf50dec639eda84813","source":{"kind":"arxiv","id":"1906.08733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08733","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08733v1","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08733","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"pith_short_12","alias_value":"XIBP4CUFTWLN","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XIBP4CUFTWLN7CYZ","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XIBP4CUF","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XIBP4CUFTWLN7CYZWXFDH7UFSL","target":"record","payload":{"canonical_record":{"source":{"id":"1906.08733","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-20T16:25:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"670768deffdac9c281ce0cd8c443ce1990fa67f4d1270bde287246cff8c3cbb8","abstract_canon_sha256":"56aff7ef02e0d7c4ad16efc8c20c9d5d6b884e643e52303987f48267280735b0"},"schema_version":"1.0"},"canonical_sha256":"ba02fe0a859d96df8b19b5ca33fe8592e25246fd28a0afdf50dec639eda84813","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:49.446173Z","signature_b64":"hxfy9kcnVNvGA2IfOluuAv0KVHeLcqKROaxfTFfUwi6DlhX5CkayHNTTp7IPL91sFmx/EacZ2fuzUVLGclC2Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba02fe0a859d96df8b19b5ca33fe8592e25246fd28a0afdf50dec639eda84813","last_reissued_at":"2026-05-17T23:42:49.445663Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:49.445663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.08733","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":"2026-05-17T23:42:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"brBUVaG6E81rovfTz0gQakayNbVEC+t2EqM+piz1YCsx3Jqt0xz/xSxLUhI51/BhwROgoXqbzWtBxvHI388hCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T08:16:23.797176Z"},"content_sha256":"8ee5174926ab3cc4e16e8f18158f3fbb577400686cb5fc35b5396ab5e3636b0a","schema_version":"1.0","event_id":"sha256:8ee5174926ab3cc4e16e8f18158f3fbb577400686cb5fc35b5396ab5e3636b0a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XIBP4CUFTWLN7CYZWXFDH7UFSL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autonomous Haiku Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Kevin Liao, Rui Aguiar","submitted_at":"2019-06-20T16:25:47Z","abstract_excerpt":"Artificial Intelligence is an excellent tool to improve efficiency and lower cost in many quantitative real world applications, but what if the task is not easily defined? What if the task is generating creativity? Poetry is a creative endeavor that is highly difficult to both grasp and achieve with any level of competence. As Rita Dove, a famous American poet and author states, \"Poetry is language at its most distilled and most powerful.\" Taking Doves quote as an inspiration, our task was to generate high quality haikus using artificial intelligence and deep learning."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08733","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":"2026-05-17T23:42:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJ2ZSw5fZqSjN7HJO4SzPJQ8Rf0lkZO9AUWKC+GD+dKSJJiUqf+LFl8/qmRU7Bak52OHa163Ia8FvTzMfwc6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T08:16:23.797554Z"},"content_sha256":"0d0e04267621bf3d6cdfa4d05c5c007e0bdb54f2ac30d8c7e9df88d27f38ee05","schema_version":"1.0","event_id":"sha256:0d0e04267621bf3d6cdfa4d05c5c007e0bdb54f2ac30d8c7e9df88d27f38ee05"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/bundle.json","state_url":"https://pith.science/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/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":"2026-05-24T08:16:23Z","links":{"resolver":"https://pith.science/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL","bundle":"https://pith.science/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/bundle.json","state":"https://pith.science/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XIBP4CUFTWLN7CYZWXFDH7UFSL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XIBP4CUFTWLN7CYZWXFDH7UFSL","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":"56aff7ef02e0d7c4ad16efc8c20c9d5d6b884e643e52303987f48267280735b0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-20T16:25:47Z","title_canon_sha256":"670768deffdac9c281ce0cd8c443ce1990fa67f4d1270bde287246cff8c3cbb8"},"schema_version":"1.0","source":{"id":"1906.08733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08733","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08733v1","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08733","created_at":"2026-05-17T23:42:49Z"},{"alias_kind":"pith_short_12","alias_value":"XIBP4CUFTWLN","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XIBP4CUFTWLN7CYZ","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XIBP4CUF","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:0d0e04267621bf3d6cdfa4d05c5c007e0bdb54f2ac30d8c7e9df88d27f38ee05","target":"graph","created_at":"2026-05-17T23:42:49Z","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":"Artificial Intelligence is an excellent tool to improve efficiency and lower cost in many quantitative real world applications, but what if the task is not easily defined? What if the task is generating creativity? Poetry is a creative endeavor that is highly difficult to both grasp and achieve with any level of competence. As Rita Dove, a famous American poet and author states, \"Poetry is language at its most distilled and most powerful.\" Taking Doves quote as an inspiration, our task was to generate high quality haikus using artificial intelligence and deep learning.","authors_text":"Kevin Liao, Rui Aguiar","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-20T16:25:47Z","title":"Autonomous Haiku Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08733","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":"sha256:8ee5174926ab3cc4e16e8f18158f3fbb577400686cb5fc35b5396ab5e3636b0a","target":"record","created_at":"2026-05-17T23:42:49Z","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":"56aff7ef02e0d7c4ad16efc8c20c9d5d6b884e643e52303987f48267280735b0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-20T16:25:47Z","title_canon_sha256":"670768deffdac9c281ce0cd8c443ce1990fa67f4d1270bde287246cff8c3cbb8"},"schema_version":"1.0","source":{"id":"1906.08733","kind":"arxiv","version":1}},"canonical_sha256":"ba02fe0a859d96df8b19b5ca33fe8592e25246fd28a0afdf50dec639eda84813","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba02fe0a859d96df8b19b5ca33fe8592e25246fd28a0afdf50dec639eda84813","first_computed_at":"2026-05-17T23:42:49.445663Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:49.445663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hxfy9kcnVNvGA2IfOluuAv0KVHeLcqKROaxfTFfUwi6DlhX5CkayHNTTp7IPL91sFmx/EacZ2fuzUVLGclC2Dw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:49.446173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.08733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ee5174926ab3cc4e16e8f18158f3fbb577400686cb5fc35b5396ab5e3636b0a","sha256:0d0e04267621bf3d6cdfa4d05c5c007e0bdb54f2ac30d8c7e9df88d27f38ee05"],"state_sha256":"a13153f1cd6eacffee07d0a58ef0004e5844146b77af1a713c68bb939f06afff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t2m2OvTFFyuxVMo31RdN0b0sG5L2IaNfir7YwAZNB9FQKR+siJ28/rJ2/fe3qr3U6UGPUw77lMQF7dV7ZCoRDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T08:16:23.800056Z","bundle_sha256":"ce34d93b99c2970c72ed5319e99e304db38dd197e34375948a9cf8b9661a19ea"}}