{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JP7LBKNN3RX7FHXCTBHZVYVTNX","short_pith_number":"pith:JP7LBKNN","canonical_record":{"source":{"id":"2311.01673","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T02:43:51Z","cross_cats_sorted":[],"title_canon_sha256":"f548e7b55e2229a544c22dfae26e9c2a88b5a0dc9fec4af59a36cf96238a6d5e","abstract_canon_sha256":"778dc919e71545a54148ed796a71334245cc2f0427f0ac3ef1ec476f02cc5547"},"schema_version":"1.0"},"canonical_sha256":"4bfeb0a9addc6ff29ee2984f9ae2b36dfa55bf8db6f0e51c6442bee61416e172","source":{"kind":"arxiv","id":"2311.01673","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01673","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01673v3","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01673","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_12","alias_value":"JP7LBKNN3RX7","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_16","alias_value":"JP7LBKNN3RX7FHXC","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_8","alias_value":"JP7LBKNN","created_at":"2026-07-05T09:10:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JP7LBKNN3RX7FHXCTBHZVYVTNX","target":"record","payload":{"canonical_record":{"source":{"id":"2311.01673","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T02:43:51Z","cross_cats_sorted":[],"title_canon_sha256":"f548e7b55e2229a544c22dfae26e9c2a88b5a0dc9fec4af59a36cf96238a6d5e","abstract_canon_sha256":"778dc919e71545a54148ed796a71334245cc2f0427f0ac3ef1ec476f02cc5547"},"schema_version":"1.0"},"canonical_sha256":"4bfeb0a9addc6ff29ee2984f9ae2b36dfa55bf8db6f0e51c6442bee61416e172","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:43.829879Z","signature_b64":"WPwerkwG6H7izl8WNJ5ParsXsIRDQrlmhIfW62++tnYGK0+A+9u+cfQCEj1l9T0698aE1LQgA8SrGgfV1GT1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4bfeb0a9addc6ff29ee2984f9ae2b36dfa55bf8db6f0e51c6442bee61416e172","last_reissued_at":"2026-07-05T09:10:43.829333Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:43.829333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.01673","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":"2026-07-05T09:10:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+lAarj7tLH35bswwDUjWAXrGIsxXPSUtM4GDFtHXWpbvyfnc4icxJ+6GQCt9h/LwAj8J3edfBoNjvs1wk8NzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:59:32.123662Z"},"content_sha256":"4193c63e940f4f38190a3c0bea548ffeebac92b39b79818e43dc3fa110754e2f","schema_version":"1.0","event_id":"sha256:4193c63e940f4f38190a3c0bea548ffeebac92b39b79818e43dc3fa110754e2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JP7LBKNN3RX7FHXCTBHZVYVTNX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jie Wang, You Zhou","submitted_at":"2023-11-03T02:43:51Z","abstract_excerpt":"We explore how to capture the significance of a sub-text block in an article and how it may be used for text mining tasks. A sub-text block is a sub-sequence of sentences in the article. We formulate the notion of content significance distribution (CSD) of sub-text blocks, referred to as CSD of the first kind and denoted by CSD-1. In particular, we leverage Hugging Face's SentenceTransformer to generate contextual sentence embeddings, and use MoverScore over text embeddings to measure how similar a sub-text block is to the entire text. To overcome the exponential blowup on the number of sub-te"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01673","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/2311.01673/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":"2026-07-05T09:10:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qa2Oo7TeGfuGaOVO4WZ+DpMkICDSaq06exN9GG7KivdwxDDcF8qw4oBtzxbcjCmuY6fgs1ex8P/JRFKqvIBWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:59:32.124378Z"},"content_sha256":"98881b3386a678bb30ca4de44047e37242cdee27b50e6e4e9f516bc221ffbe60","schema_version":"1.0","event_id":"sha256:98881b3386a678bb30ca4de44047e37242cdee27b50e6e4e9f516bc221ffbe60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/bundle.json","state_url":"https://pith.science/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/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":"2026-08-05T23:59:32Z","links":{"resolver":"https://pith.science/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX","bundle":"https://pith.science/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/bundle.json","state":"https://pith.science/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JP7LBKNN3RX7FHXCTBHZVYVTNX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JP7LBKNN3RX7FHXCTBHZVYVTNX","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":"778dc919e71545a54148ed796a71334245cc2f0427f0ac3ef1ec476f02cc5547","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T02:43:51Z","title_canon_sha256":"f548e7b55e2229a544c22dfae26e9c2a88b5a0dc9fec4af59a36cf96238a6d5e"},"schema_version":"1.0","source":{"id":"2311.01673","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01673","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01673v3","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01673","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_12","alias_value":"JP7LBKNN3RX7","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_16","alias_value":"JP7LBKNN3RX7FHXC","created_at":"2026-07-05T09:10:43Z"},{"alias_kind":"pith_short_8","alias_value":"JP7LBKNN","created_at":"2026-07-05T09:10:43Z"}],"graph_snapshots":[{"event_id":"sha256:98881b3386a678bb30ca4de44047e37242cdee27b50e6e4e9f516bc221ffbe60","target":"graph","created_at":"2026-07-05T09:10:43Z","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/2311.01673/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We explore how to capture the significance of a sub-text block in an article and how it may be used for text mining tasks. A sub-text block is a sub-sequence of sentences in the article. We formulate the notion of content significance distribution (CSD) of sub-text blocks, referred to as CSD of the first kind and denoted by CSD-1. In particular, we leverage Hugging Face's SentenceTransformer to generate contextual sentence embeddings, and use MoverScore over text embeddings to measure how similar a sub-text block is to the entire text. To overcome the exponential blowup on the number of sub-te","authors_text":"Jie Wang, You Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T02:43:51Z","title":"Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01673","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":"sha256:4193c63e940f4f38190a3c0bea548ffeebac92b39b79818e43dc3fa110754e2f","target":"record","created_at":"2026-07-05T09:10:43Z","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":"778dc919e71545a54148ed796a71334245cc2f0427f0ac3ef1ec476f02cc5547","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-03T02:43:51Z","title_canon_sha256":"f548e7b55e2229a544c22dfae26e9c2a88b5a0dc9fec4af59a36cf96238a6d5e"},"schema_version":"1.0","source":{"id":"2311.01673","kind":"arxiv","version":3}},"canonical_sha256":"4bfeb0a9addc6ff29ee2984f9ae2b36dfa55bf8db6f0e51c6442bee61416e172","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bfeb0a9addc6ff29ee2984f9ae2b36dfa55bf8db6f0e51c6442bee61416e172","first_computed_at":"2026-07-05T09:10:43.829333Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:43.829333Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WPwerkwG6H7izl8WNJ5ParsXsIRDQrlmhIfW62++tnYGK0+A+9u+cfQCEj1l9T0698aE1LQgA8SrGgfV1GT1Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:43.829879Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01673","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4193c63e940f4f38190a3c0bea548ffeebac92b39b79818e43dc3fa110754e2f","sha256:98881b3386a678bb30ca4de44047e37242cdee27b50e6e4e9f516bc221ffbe60"],"state_sha256":"333c83d626c71bb174a3f8ffdfa9a800f2ed9bb8190b7cd2fcfc821b6934f997"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hBQY1lW9Z+9iUG9/y7r1PORhyg+aK5HTOn2g8ZPGcqY+bwDJtGkKHTmVvWMxkKSn0wwFywcBxh1h1hG5YxbWCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:59:32.129672Z","bundle_sha256":"13d040f22ec34bf4450ad8f8b0242a8d4f1cb46ac74fc12098e06b25fe4c2d1b"}}