{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DAJQ635S4H7UPPCABS3O4RCTP6","short_pith_number":"pith:DAJQ635S","canonical_record":{"source":{"id":"2005.00054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-30T19:05:41Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"b9d86a0c925323b583d22383265595975fe662934a1463c0520460cc512382a3","abstract_canon_sha256":"6c2e13f529f6d54db79ebf0616511e9f99a5860eea9371fd279f74a81a6f620e"},"schema_version":"1.0"},"canonical_sha256":"18130f6fb2e1ff47bc400cb6ee44537fb4759d5b6b506dc3211fe3acea70dc42","source":{"kind":"arxiv","id":"2005.00054","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00054","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00054v3","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00054","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"DAJQ635S4H7U","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"DAJQ635S4H7UPPCA","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"DAJQ635S","created_at":"2026-07-05T02:58:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DAJQ635S4H7UPPCABS3O4RCTP6","target":"record","payload":{"canonical_record":{"source":{"id":"2005.00054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-30T19:05:41Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"b9d86a0c925323b583d22383265595975fe662934a1463c0520460cc512382a3","abstract_canon_sha256":"6c2e13f529f6d54db79ebf0616511e9f99a5860eea9371fd279f74a81a6f620e"},"schema_version":"1.0"},"canonical_sha256":"18130f6fb2e1ff47bc400cb6ee44537fb4759d5b6b506dc3211fe3acea70dc42","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:58:03.771225Z","signature_b64":"a6wJcpaTByZYc5OdwL3SHDaRJiSKLDRNNfrV9HCFboGjWN17tZ2IkKD6Fsy2INchTIlwX80FiFzB6/JwQDshAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18130f6fb2e1ff47bc400cb6ee44537fb4759d5b6b506dc3211fe3acea70dc42","last_reissued_at":"2026-07-05T02:58:03.770757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:58:03.770757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.00054","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":"2026-07-05T02:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0XyZK8vKhfR+r4P35Mn3UT3oST8RvEhwkzJl1T3QG6fROcD5m7vqfG41vo9Dom0Cnqgn6M1mSvnzUP6L+D+ODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:37:03.976720Z"},"content_sha256":"89db3adbf9cdb218ce01410495d93c6957d3f696d4980a73bf02f27a19295979","schema_version":"1.0","event_id":"sha256:89db3adbf9cdb218ce01410495d93c6957d3f696d4980a73bf02f27a19295979"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DAJQ635S4H7UPPCABS3O4RCTP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"APo-VAE: Text Generation in Hyperbolic Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Chenyang Tao, Jingjing Liu, Lawrence Carin, Shuyang Dai, Yu Cheng, Zhe Gan","submitted_at":"2020-04-30T19:05:41Z","abstract_excerpt":"Natural language often exhibits inherent hierarchical structure ingrained with complex syntax and semantics. However, most state-of-the-art deep generative models learn embeddings only in Euclidean vector space, without accounting for this structural property of language. In this paper, we investigate text generation in a hyperbolic latent space to learn continuous hierarchical representations. An Adversarial Poincare Variational Autoencoder (APo-VAE) is presented, where both the prior and variational posterior of latent variables are defined over a Poincare ball via wrapped normal distributio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00054","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.00054/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T02:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N1zL/GEdZfo4uMSQyQO/zgVEhYse1quscHgoYSqy6BjrmU1OKEiog6ctoArCldxgznCype9/4SS8aiTPCTm4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:37:03.977215Z"},"content_sha256":"e2cdedd8d80f13aeff77de61a9ed7d5168e00e6a56820bb8fe80d888634cf25d","schema_version":"1.0","event_id":"sha256:e2cdedd8d80f13aeff77de61a9ed7d5168e00e6a56820bb8fe80d888634cf25d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DAJQ635S4H7UPPCABS3O4RCTP6/bundle.json","state_url":"https://pith.science/pith/DAJQ635S4H7UPPCABS3O4RCTP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DAJQ635S4H7UPPCABS3O4RCTP6/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":"2026-08-07T03:37:03Z","links":{"resolver":"https://pith.science/pith/DAJQ635S4H7UPPCABS3O4RCTP6","bundle":"https://pith.science/pith/DAJQ635S4H7UPPCABS3O4RCTP6/bundle.json","state":"https://pith.science/pith/DAJQ635S4H7UPPCABS3O4RCTP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DAJQ635S4H7UPPCABS3O4RCTP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DAJQ635S4H7UPPCABS3O4RCTP6","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":"6c2e13f529f6d54db79ebf0616511e9f99a5860eea9371fd279f74a81a6f620e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-30T19:05:41Z","title_canon_sha256":"b9d86a0c925323b583d22383265595975fe662934a1463c0520460cc512382a3"},"schema_version":"1.0","source":{"id":"2005.00054","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00054","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00054v3","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00054","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"DAJQ635S4H7U","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"DAJQ635S4H7UPPCA","created_at":"2026-07-05T02:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"DAJQ635S","created_at":"2026-07-05T02:58:03Z"}],"graph_snapshots":[{"event_id":"sha256:e2cdedd8d80f13aeff77de61a9ed7d5168e00e6a56820bb8fe80d888634cf25d","target":"graph","created_at":"2026-07-05T02:58:03Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2005.00054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Natural language often exhibits inherent hierarchical structure ingrained with complex syntax and semantics. However, most state-of-the-art deep generative models learn embeddings only in Euclidean vector space, without accounting for this structural property of language. In this paper, we investigate text generation in a hyperbolic latent space to learn continuous hierarchical representations. An Adversarial Poincare Variational Autoencoder (APo-VAE) is presented, where both the prior and variational posterior of latent variables are defined over a Poincare ball via wrapped normal distributio","authors_text":"Chenyang Tao, Jingjing Liu, Lawrence Carin, Shuyang Dai, Yu Cheng, Zhe Gan","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-30T19:05:41Z","title":"APo-VAE: Text Generation in Hyperbolic Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00054","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":"sha256:89db3adbf9cdb218ce01410495d93c6957d3f696d4980a73bf02f27a19295979","target":"record","created_at":"2026-07-05T02:58:03Z","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":"6c2e13f529f6d54db79ebf0616511e9f99a5860eea9371fd279f74a81a6f620e","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-04-30T19:05:41Z","title_canon_sha256":"b9d86a0c925323b583d22383265595975fe662934a1463c0520460cc512382a3"},"schema_version":"1.0","source":{"id":"2005.00054","kind":"arxiv","version":3}},"canonical_sha256":"18130f6fb2e1ff47bc400cb6ee44537fb4759d5b6b506dc3211fe3acea70dc42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18130f6fb2e1ff47bc400cb6ee44537fb4759d5b6b506dc3211fe3acea70dc42","first_computed_at":"2026-07-05T02:58:03.770757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:58:03.770757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a6wJcpaTByZYc5OdwL3SHDaRJiSKLDRNNfrV9HCFboGjWN17tZ2IkKD6Fsy2INchTIlwX80FiFzB6/JwQDshAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:58:03.771225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.00054","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89db3adbf9cdb218ce01410495d93c6957d3f696d4980a73bf02f27a19295979","sha256:e2cdedd8d80f13aeff77de61a9ed7d5168e00e6a56820bb8fe80d888634cf25d"],"state_sha256":"fa37bf04676d12cacdd9b7182e941f854b21676fb83b90986b5b64b868a6b3ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lRST3nncJGkgMsHclG6nq4AjJrrsSxbLg60ye2ybkL+/Bue9+nz7ubwqgspNbZrCDNbAvjtv9EiZ+WnsParZAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:37:03.981192Z","bundle_sha256":"0b915fba6519922ef11fd8ee32723a4ba70e8b8e3dfa420d169904559ae2e512"}}