{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QPQUB7NMIKVKJ2W7B6PC4DQGRT","short_pith_number":"pith:QPQUB7NM","canonical_record":{"source":{"id":"1706.02124","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-07T10:50:47Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"bdadda1c036cb534ed4029bbbf7b177981ff8c2a56f2df01be60c45da4130662","abstract_canon_sha256":"05fbd15c6a15277d587129ce046345a40ebd813595a0b3a3a21b79603228ff65"},"schema_version":"1.0"},"canonical_sha256":"83e140fdac42aaa4eadf0f9e2e0e068cf27e6108afc10050f6f2182a6aa989dd","source":{"kind":"arxiv","id":"1706.02124","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.02124","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"1706.02124v2","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.02124","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"QPQUB7NMIKVK","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QPQUB7NMIKVKJ2W7","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QPQUB7NM","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QPQUB7NMIKVKJ2W7B6PC4DQGRT","target":"record","payload":{"canonical_record":{"source":{"id":"1706.02124","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-07T10:50:47Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"bdadda1c036cb534ed4029bbbf7b177981ff8c2a56f2df01be60c45da4130662","abstract_canon_sha256":"05fbd15c6a15277d587129ce046345a40ebd813595a0b3a3a21b79603228ff65"},"schema_version":"1.0"},"canonical_sha256":"83e140fdac42aaa4eadf0f9e2e0e068cf27e6108afc10050f6f2182a6aa989dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:57.159509Z","signature_b64":"0DnktRBeY7dxmtpTPTTtu0FjV9uVcj6JNv/K8qGYpevKjSXwr6NldR0NKTPM3F++cM9z7sTTrlkI1dTXXmh5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83e140fdac42aaa4eadf0f9e2e0e068cf27e6108afc10050f6f2182a6aa989dd","last_reissued_at":"2026-05-18T00:34:57.158857Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:57.158857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.02124","source_version":2,"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":"cZFTZBSVxduBwfQnLlBxKjoVJSmBhhXYdwNAYZQ9LqDYmLq3+Y7NqYElXqiHlpxoukCmfuHEIvaALdEtZBV9Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:30:52.775919Z"},"content_sha256":"24fe3e02f72ba73e979b720815958fe84b37092c98cd3763e679d5ae390ccafe","schema_version":"1.0","event_id":"sha256:24fe3e02f72ba73e979b720815958fe84b37092c98cd3763e679d5ae390ccafe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QPQUB7NMIKVKJ2W7B6PC4DQGRT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.CL","authors_text":"Johannes Twiefel, Marian Tietz, Stefan Wermter, Tayfun Alpay","submitted_at":"2017-06-07T10:50:47Z","abstract_excerpt":"Ladder networks are a notable new concept in the field of semi-supervised learning by showing state-of-the-art results in image recognition tasks while being compatible with many existing neural architectures. We present the recurrent ladder network, a novel modification of the ladder network, for semi-supervised learning of recurrent neural networks which we evaluate with a phoneme recognition task on the TIMIT corpus. Our results show that the model is able to consistently outperform the baseline and achieve fully-supervised baseline performance with only 75% of all labels which demonstrates"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.02124","kind":"arxiv","version":2},"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":"weEZbIY66JCr1lXcrMUhmcAoe+6XEJRB2Y4dUuB1OSKEZIqirafBPwcKqHFUIDaFMnz6P6a9NVnOrASnVZDkAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:30:52.776536Z"},"content_sha256":"75ee3071cc79c207a8e32ac51b67ce66a9abbc0dae995dc647a00007a3aa69dc","schema_version":"1.0","event_id":"sha256:75ee3071cc79c207a8e32ac51b67ce66a9abbc0dae995dc647a00007a3aa69dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/bundle.json","state_url":"https://pith.science/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/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":"2026-08-15T11:30:52Z","links":{"resolver":"https://pith.science/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT","bundle":"https://pith.science/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/bundle.json","state":"https://pith.science/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QPQUB7NMIKVKJ2W7B6PC4DQGRT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QPQUB7NMIKVKJ2W7B6PC4DQGRT","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":"05fbd15c6a15277d587129ce046345a40ebd813595a0b3a3a21b79603228ff65","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-07T10:50:47Z","title_canon_sha256":"bdadda1c036cb534ed4029bbbf7b177981ff8c2a56f2df01be60c45da4130662"},"schema_version":"1.0","source":{"id":"1706.02124","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.02124","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"arxiv_version","alias_value":"1706.02124v2","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.02124","created_at":"2026-05-18T00:34:57Z"},{"alias_kind":"pith_short_12","alias_value":"QPQUB7NMIKVK","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QPQUB7NMIKVKJ2W7","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QPQUB7NM","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:75ee3071cc79c207a8e32ac51b67ce66a9abbc0dae995dc647a00007a3aa69dc","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":"Ladder networks are a notable new concept in the field of semi-supervised learning by showing state-of-the-art results in image recognition tasks while being compatible with many existing neural architectures. We present the recurrent ladder network, a novel modification of the ladder network, for semi-supervised learning of recurrent neural networks which we evaluate with a phoneme recognition task on the TIMIT corpus. Our results show that the model is able to consistently outperform the baseline and achieve fully-supervised baseline performance with only 75% of all labels which demonstrates","authors_text":"Johannes Twiefel, Marian Tietz, Stefan Wermter, Tayfun Alpay","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-07T10:50:47Z","title":"Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.02124","kind":"arxiv","version":2},"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":"sha256:24fe3e02f72ba73e979b720815958fe84b37092c98cd3763e679d5ae390ccafe","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":"05fbd15c6a15277d587129ce046345a40ebd813595a0b3a3a21b79603228ff65","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-07T10:50:47Z","title_canon_sha256":"bdadda1c036cb534ed4029bbbf7b177981ff8c2a56f2df01be60c45da4130662"},"schema_version":"1.0","source":{"id":"1706.02124","kind":"arxiv","version":2}},"canonical_sha256":"83e140fdac42aaa4eadf0f9e2e0e068cf27e6108afc10050f6f2182a6aa989dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83e140fdac42aaa4eadf0f9e2e0e068cf27e6108afc10050f6f2182a6aa989dd","first_computed_at":"2026-05-18T00:34:57.158857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:57.158857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0DnktRBeY7dxmtpTPTTtu0FjV9uVcj6JNv/K8qGYpevKjSXwr6NldR0NKTPM3F++cM9z7sTTrlkI1dTXXmh5CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:57.159509Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.02124","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24fe3e02f72ba73e979b720815958fe84b37092c98cd3763e679d5ae390ccafe","sha256:75ee3071cc79c207a8e32ac51b67ce66a9abbc0dae995dc647a00007a3aa69dc"],"state_sha256":"6e6fc8b2a347e9deaafb0fe8373f0ed8af7a7676464713968fb321117830d99a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vDdGRpY+WZWlJRSrdV6yaUCJk+HQ2XKVuDtO/56IOe0VJJCIzKNdAXM+Mru5rgt8lzaaYhYlUZpSKuI4bgXtAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T11:30:52.780251Z","bundle_sha256":"24cfa40ef0f8bc8abddbc21985637fdd92c1c5b6b925ada2a2d0cadcd5850f37"}}