{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YQKFHLCNULVW32UPQRLMROIDQ7","short_pith_number":"pith:YQKFHLCN","canonical_record":{"source":{"id":"2310.04074","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-06T07:59:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ac9c8810dff6c9795e486f7ed2e71b082815b9cf2630f3e0d474afa9b27279b7","abstract_canon_sha256":"57a61bd44f706674b7acd677d74ed498126afcc3d4748e51e782b47207dbdf01"},"schema_version":"1.0"},"canonical_sha256":"c41453ac4da2eb6dea8f8456c8b90387f849d4332bdf8ebcda957a851a739e91","source":{"kind":"arxiv","id":"2310.04074","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04074","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04074v1","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04074","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_12","alias_value":"YQKFHLCNULVW","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_16","alias_value":"YQKFHLCNULVW32UP","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_8","alias_value":"YQKFHLCN","created_at":"2026-07-05T06:57:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YQKFHLCNULVW32UPQRLMROIDQ7","target":"record","payload":{"canonical_record":{"source":{"id":"2310.04074","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-06T07:59:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ac9c8810dff6c9795e486f7ed2e71b082815b9cf2630f3e0d474afa9b27279b7","abstract_canon_sha256":"57a61bd44f706674b7acd677d74ed498126afcc3d4748e51e782b47207dbdf01"},"schema_version":"1.0"},"canonical_sha256":"c41453ac4da2eb6dea8f8456c8b90387f849d4332bdf8ebcda957a851a739e91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:57.886261Z","signature_b64":"tG/Nu+ks+5TSmxs5Jp2xuRccK2Cy0vU7VzRsDioS0FVeUf1PjryoiPaAyfP6QtlSTGN+0fPkWBXT5xVEGb7sBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c41453ac4da2eb6dea8f8456c8b90387f849d4332bdf8ebcda957a851a739e91","last_reissued_at":"2026-07-05T06:57:57.885769Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:57.885769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.04074","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":"2026-07-05T06:57:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ks3+kg69lVx5PQOM34CTIq5oPgNzZsDQ9OwdWHIaGyrpDngZ0ofWNxYAqTKPvxrL6zvfneqA5ZxaMuf3iU2sBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:43:47.501778Z"},"content_sha256":"b72cccd28143ee9c25a07fed9f9175fdcde93ddcd696cbbb42f2794402085bf7","schema_version":"1.0","event_id":"sha256:b72cccd28143ee9c25a07fed9f9175fdcde93ddcd696cbbb42f2794402085bf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YQKFHLCNULVW32UPQRLMROIDQ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic Aspect Extraction from Scientific Texts","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Anna Marshalova, Elena Bruches, Tatiana Batura","submitted_at":"2023-10-06T07:59:54Z","abstract_excerpt":"Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review. Therefore, the aim of our research is to create a tool for automatic aspect extraction from Russian-language scientific texts of any domain. In this paper, we present a cross-domain dataset of scientific texts in Russian, annotated with such aspects as Task, Contribution, Method, and Conclusion, as well as a baseline algorithm for aspect extraction, based on the multilingual BERT mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04074","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/2310.04074/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":"2026-07-05T06:57:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JMNTlZnhm0YVKiAdrzloeX4U3O521qLSVJk/kYmdAKH5UsrZvM94+dwd1Uv9KU0gzFamCfvbyMmhp0zCHhyDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:43:47.502066Z"},"content_sha256":"3878d037358e1be9847ea77bfa266312ded9befd0c37bf17b40184eea5bcd6f7","schema_version":"1.0","event_id":"sha256:3878d037358e1be9847ea77bfa266312ded9befd0c37bf17b40184eea5bcd6f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YQKFHLCNULVW32UPQRLMROIDQ7/bundle.json","state_url":"https://pith.science/pith/YQKFHLCNULVW32UPQRLMROIDQ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YQKFHLCNULVW32UPQRLMROIDQ7/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":"2026-07-31T13:43:47Z","links":{"resolver":"https://pith.science/pith/YQKFHLCNULVW32UPQRLMROIDQ7","bundle":"https://pith.science/pith/YQKFHLCNULVW32UPQRLMROIDQ7/bundle.json","state":"https://pith.science/pith/YQKFHLCNULVW32UPQRLMROIDQ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YQKFHLCNULVW32UPQRLMROIDQ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YQKFHLCNULVW32UPQRLMROIDQ7","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":"57a61bd44f706674b7acd677d74ed498126afcc3d4748e51e782b47207dbdf01","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-06T07:59:54Z","title_canon_sha256":"ac9c8810dff6c9795e486f7ed2e71b082815b9cf2630f3e0d474afa9b27279b7"},"schema_version":"1.0","source":{"id":"2310.04074","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.04074","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.04074v1","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.04074","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_12","alias_value":"YQKFHLCNULVW","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_16","alias_value":"YQKFHLCNULVW32UP","created_at":"2026-07-05T06:57:57Z"},{"alias_kind":"pith_short_8","alias_value":"YQKFHLCN","created_at":"2026-07-05T06:57:57Z"}],"graph_snapshots":[{"event_id":"sha256:3878d037358e1be9847ea77bfa266312ded9befd0c37bf17b40184eea5bcd6f7","target":"graph","created_at":"2026-07-05T06:57:57Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.04074/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review. Therefore, the aim of our research is to create a tool for automatic aspect extraction from Russian-language scientific texts of any domain. In this paper, we present a cross-domain dataset of scientific texts in Russian, annotated with such aspects as Task, Contribution, Method, and Conclusion, as well as a baseline algorithm for aspect extraction, based on the multilingual BERT mo","authors_text":"Anna Marshalova, Elena Bruches, Tatiana Batura","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-06T07:59:54Z","title":"Automatic Aspect Extraction from Scientific Texts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.04074","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:b72cccd28143ee9c25a07fed9f9175fdcde93ddcd696cbbb42f2794402085bf7","target":"record","created_at":"2026-07-05T06:57:57Z","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":"57a61bd44f706674b7acd677d74ed498126afcc3d4748e51e782b47207dbdf01","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-06T07:59:54Z","title_canon_sha256":"ac9c8810dff6c9795e486f7ed2e71b082815b9cf2630f3e0d474afa9b27279b7"},"schema_version":"1.0","source":{"id":"2310.04074","kind":"arxiv","version":1}},"canonical_sha256":"c41453ac4da2eb6dea8f8456c8b90387f849d4332bdf8ebcda957a851a739e91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c41453ac4da2eb6dea8f8456c8b90387f849d4332bdf8ebcda957a851a739e91","first_computed_at":"2026-07-05T06:57:57.885769Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:57.885769Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tG/Nu+ks+5TSmxs5Jp2xuRccK2Cy0vU7VzRsDioS0FVeUf1PjryoiPaAyfP6QtlSTGN+0fPkWBXT5xVEGb7sBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:57.886261Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.04074","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b72cccd28143ee9c25a07fed9f9175fdcde93ddcd696cbbb42f2794402085bf7","sha256:3878d037358e1be9847ea77bfa266312ded9befd0c37bf17b40184eea5bcd6f7"],"state_sha256":"b6e3703f0ebcd579f27640924a9484fbd3fa5e6c67e9e5e39b1e48058fe843b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cXCZ+uRbtKWEeA0UNLANT6RGw4FeK5sCfrRMd8kRZfrZGMUskjGGdUz+GN5x4humcFMlPs4fd8owClxpSmRcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:43:47.506202Z","bundle_sha256":"9794afc5627e36a41a1e593a8570d07af54b40912bbeff4c13d5d98d5f7b27e3"}}