{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HOPF3UAGZMV7E4FQRVJ6DO7FGH","short_pith_number":"pith:HOPF3UAG","canonical_record":{"source":{"id":"1909.11943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-09-26T07:10:03Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"09cc222e175ad90f168612aa8b88f51622497ecc7e75528f5f5e6e954ae7e4b1","abstract_canon_sha256":"bb2b4c5087b537cd87afedff52e24808822094602b1f82c163a2966c2ebb021f"},"schema_version":"1.0"},"canonical_sha256":"3b9e5dd006cb2bf270b08d53e1bbe531f7c957159bf87edb42ed404867295bd3","source":{"kind":"arxiv","id":"1909.11943","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.11943","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"arxiv_version","alias_value":"1909.11943v1","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.11943","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_12","alias_value":"HOPF3UAGZMV7","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_16","alias_value":"HOPF3UAGZMV7E4FQ","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_8","alias_value":"HOPF3UAG","created_at":"2026-07-05T00:07:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HOPF3UAGZMV7E4FQRVJ6DO7FGH","target":"record","payload":{"canonical_record":{"source":{"id":"1909.11943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-09-26T07:10:03Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"09cc222e175ad90f168612aa8b88f51622497ecc7e75528f5f5e6e954ae7e4b1","abstract_canon_sha256":"bb2b4c5087b537cd87afedff52e24808822094602b1f82c163a2966c2ebb021f"},"schema_version":"1.0"},"canonical_sha256":"3b9e5dd006cb2bf270b08d53e1bbe531f7c957159bf87edb42ed404867295bd3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:07:29.541813Z","signature_b64":"+zRH75u4HEOvLvCp3NCu8IdjV9tyNO/DEhLaHzJxkS5j21J0PlEN+SAip9Wr7anOQSIdD+wXqfF/yaqkx/wRCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b9e5dd006cb2bf270b08d53e1bbe531f7c957159bf87edb42ed404867295bd3","last_reissued_at":"2026-07-05T00:07:29.541378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:07:29.541378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.11943","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":"2026-07-05T00:07:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CH3XqUG9A99eB0u90lkY91ZEzpp4Qmz6JJ0AaZ/jzxfMqVBvjYde2udCjnu/6RG+zv+KbJj+u40NbGHhZKitBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:11:54.883323Z"},"content_sha256":"a43c9420bf02032909521242d5517c202081961954e6c52c29da0d8913d53d96","schema_version":"1.0","event_id":"sha256:a43c9420bf02032909521242d5517c202081961954e6c52c29da0d8913d53d96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HOPF3UAGZMV7E4FQRVJ6DO7FGH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"q-bio.GN","authors_text":"Jelena Fiosina, Maksims Fiosins, Stefan Bonn","submitted_at":"2019-09-26T07:10:03Z","abstract_excerpt":"The lack of well-structured annotations in a growing amount of RNA expression data complicates data interoperability and reusability. Commonly - used text mining methods extract annotations from existing unstructured data descriptions and often provide inaccurate output that requires manual curation. Automatic data-based augmentation (generation of annotations on the base of expression data) can considerably improve the annotation quality and has not been well-studied. We formulate an automatic augmentation of small RNA-seq expression data as a classification problem and investigate deep learn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.11943","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1909.11943/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":"2026-07-05T00:07:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xaPSPAA/h63BzWQ+S74g8cJ1jIpgh/DzsNQgPBFTPy432w3rUA9EC1zhyY+LAVuJVhU+zaK6xWYOG12tZEybAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T21:11:54.884366Z"},"content_sha256":"3164a4f32e15cac02262358591d5d9efdbcab501bd2f95f525b1b8723cc6dd2a","schema_version":"1.0","event_id":"sha256:3164a4f32e15cac02262358591d5d9efdbcab501bd2f95f525b1b8723cc6dd2a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/bundle.json","state_url":"https://pith.science/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/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":"2026-08-11T21:11:54Z","links":{"resolver":"https://pith.science/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH","bundle":"https://pith.science/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/bundle.json","state":"https://pith.science/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HOPF3UAGZMV7E4FQRVJ6DO7FGH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HOPF3UAGZMV7E4FQRVJ6DO7FGH","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":"bb2b4c5087b537cd87afedff52e24808822094602b1f82c163a2966c2ebb021f","cross_cats_sorted":["cs.LG","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-09-26T07:10:03Z","title_canon_sha256":"09cc222e175ad90f168612aa8b88f51622497ecc7e75528f5f5e6e954ae7e4b1"},"schema_version":"1.0","source":{"id":"1909.11943","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.11943","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"arxiv_version","alias_value":"1909.11943v1","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.11943","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_12","alias_value":"HOPF3UAGZMV7","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_16","alias_value":"HOPF3UAGZMV7E4FQ","created_at":"2026-07-05T00:07:29Z"},{"alias_kind":"pith_short_8","alias_value":"HOPF3UAG","created_at":"2026-07-05T00:07:29Z"}],"graph_snapshots":[{"event_id":"sha256:3164a4f32e15cac02262358591d5d9efdbcab501bd2f95f525b1b8723cc6dd2a","target":"graph","created_at":"2026-07-05T00:07:29Z","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/1909.11943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The lack of well-structured annotations in a growing amount of RNA expression data complicates data interoperability and reusability. Commonly - used text mining methods extract annotations from existing unstructured data descriptions and often provide inaccurate output that requires manual curation. Automatic data-based augmentation (generation of annotations on the base of expression data) can considerably improve the annotation quality and has not been well-studied. We formulate an automatic augmentation of small RNA-seq expression data as a classification problem and investigate deep learn","authors_text":"Jelena Fiosina, Maksims Fiosins, Stefan Bonn","cross_cats":["cs.LG","q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-09-26T07:10:03Z","title":"Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.11943","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:a43c9420bf02032909521242d5517c202081961954e6c52c29da0d8913d53d96","target":"record","created_at":"2026-07-05T00:07:29Z","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":"bb2b4c5087b537cd87afedff52e24808822094602b1f82c163a2966c2ebb021f","cross_cats_sorted":["cs.LG","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-09-26T07:10:03Z","title_canon_sha256":"09cc222e175ad90f168612aa8b88f51622497ecc7e75528f5f5e6e954ae7e4b1"},"schema_version":"1.0","source":{"id":"1909.11943","kind":"arxiv","version":1}},"canonical_sha256":"3b9e5dd006cb2bf270b08d53e1bbe531f7c957159bf87edb42ed404867295bd3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b9e5dd006cb2bf270b08d53e1bbe531f7c957159bf87edb42ed404867295bd3","first_computed_at":"2026-07-05T00:07:29.541378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:07:29.541378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+zRH75u4HEOvLvCp3NCu8IdjV9tyNO/DEhLaHzJxkS5j21J0PlEN+SAip9Wr7anOQSIdD+wXqfF/yaqkx/wRCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:07:29.541813Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.11943","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a43c9420bf02032909521242d5517c202081961954e6c52c29da0d8913d53d96","sha256:3164a4f32e15cac02262358591d5d9efdbcab501bd2f95f525b1b8723cc6dd2a"],"state_sha256":"ae1a548506d210d396c57d5c2b7c2a04988768c18592cd19b1ea41f8bdc3e4e5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xvKCAsHhX0xSbv1dq6ItQUtX1sYNXRW8Ed3SlFL4bDYt1E8lMzM+A+OR9A5jVv0NUYZjEbUPV1irtsYEJmmOAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T21:11:54.892190Z","bundle_sha256":"1ffecf647252ebe6a48a9c18e7c1b49cd7b756f873b820c534e1ef6ea884201f"}}