{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:U6MD5IU55QSJDBMFUUMSAHFDG2","short_pith_number":"pith:U6MD5IU5","canonical_record":{"source":{"id":"1906.09569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-23T09:23:08Z","cross_cats_sorted":["cs.DL","cs.HC"],"title_canon_sha256":"2f8c1bfc1e1ef19e8df8832b55a92d514ed173e2a679ef038da99d668c0ba61b","abstract_canon_sha256":"ed1f5d0da592f57440f575806ebe562c242d0518ea1183f38d2f0b050a135baf"},"schema_version":"1.0"},"canonical_sha256":"a7983ea29dec24918585a519201ca336885c349d0c8a8f6f1bd9d3f503a787a2","source":{"kind":"arxiv","id":"1906.09569","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09569","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09569v1","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09569","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"U6MD5IU55QSJ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U6MD5IU55QSJDBMF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U6MD5IU5","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:U6MD5IU55QSJDBMFUUMSAHFDG2","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-23T09:23:08Z","cross_cats_sorted":["cs.DL","cs.HC"],"title_canon_sha256":"2f8c1bfc1e1ef19e8df8832b55a92d514ed173e2a679ef038da99d668c0ba61b","abstract_canon_sha256":"ed1f5d0da592f57440f575806ebe562c242d0518ea1183f38d2f0b050a135baf"},"schema_version":"1.0"},"canonical_sha256":"a7983ea29dec24918585a519201ca336885c349d0c8a8f6f1bd9d3f503a787a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:37.527442Z","signature_b64":"fcmC9F5fhUXB3JTbYx5dAAAj/XbxLCIbaP5zyXgGje8ik4tvpq0A3tfMyRb3tkpTdwHWY1MlAHlOiGSQ51qqDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7983ea29dec24918585a519201ca336885c349d0c8a8f6f1bd9d3f503a787a2","last_reissued_at":"2026-05-17T23:42:37.526765Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:37.526765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09569","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":"2026-05-17T23:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D7UKe2jjo6SD7EnIrQmjJyCZSiiR0sn1dCo0zB4AwQGKxo11ly/pcAEidUmYVO8LtZkzDJI7vM9pO5FZT72mDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:53:15.662507Z"},"content_sha256":"9f073bf10f40348d0b9c4b49950bc948249b5dcfa13ea0b1d413d0c8c054d054","schema_version":"1.0","event_id":"sha256:9f073bf10f40348d0b9c4b49950bc948249b5dcfa13ea0b1d413d0c8c054d054"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:U6MD5IU55QSJDBMFUUMSAHFDG2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Systematic improvement of user engagement with academic titles using computational linguistics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DL","cs.HC"],"primary_cat":"cs.CL","authors_text":"Nim Dvir, Ruti Gafni","submitted_at":"2019-06-23T09:23:08Z","abstract_excerpt":"This paper describes a novel approach to systematically improve information interactions based solely on its wording. Following an interdisciplinary literature review, we recognized three key attributes of words that drive user engagement: (1) Novelty (2) Familiarity (3) Emotionality. Based on these attributes, we developed a model to systematically improve a given content using computational linguistics, natural language processing (NLP) and text analysis (word frequency, sentiment analysis and lexical substitution). We conducted a pilot study (n=216) in which the model was used to formalize "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09569","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":""},"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":"2026-05-17T23:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RxV4BJtyLTAl1kUNnjd8nimvYNeOYoJA73aqzNnvzDCj2RdcE60qC7cRXPo5ElhP119IZbvjbhRTdIvnEX5qCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:53:15.662856Z"},"content_sha256":"55d15b6bef4c138534f5a87e67292871b2e1bb4eaba6810aa74b8ed122dc2ff3","schema_version":"1.0","event_id":"sha256:55d15b6bef4c138534f5a87e67292871b2e1bb4eaba6810aa74b8ed122dc2ff3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/bundle.json","state_url":"https://pith.science/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/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":"2026-06-09T14:53:15Z","links":{"resolver":"https://pith.science/pith/U6MD5IU55QSJDBMFUUMSAHFDG2","bundle":"https://pith.science/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/bundle.json","state":"https://pith.science/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6MD5IU55QSJDBMFUUMSAHFDG2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U6MD5IU55QSJDBMFUUMSAHFDG2","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":"ed1f5d0da592f57440f575806ebe562c242d0518ea1183f38d2f0b050a135baf","cross_cats_sorted":["cs.DL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-23T09:23:08Z","title_canon_sha256":"2f8c1bfc1e1ef19e8df8832b55a92d514ed173e2a679ef038da99d668c0ba61b"},"schema_version":"1.0","source":{"id":"1906.09569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09569","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09569v1","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09569","created_at":"2026-05-17T23:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"U6MD5IU55QSJ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U6MD5IU55QSJDBMF","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U6MD5IU5","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:55d15b6bef4c138534f5a87e67292871b2e1bb4eaba6810aa74b8ed122dc2ff3","target":"graph","created_at":"2026-05-17T23:42:37Z","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":"This paper describes a novel approach to systematically improve information interactions based solely on its wording. Following an interdisciplinary literature review, we recognized three key attributes of words that drive user engagement: (1) Novelty (2) Familiarity (3) Emotionality. Based on these attributes, we developed a model to systematically improve a given content using computational linguistics, natural language processing (NLP) and text analysis (word frequency, sentiment analysis and lexical substitution). We conducted a pilot study (n=216) in which the model was used to formalize ","authors_text":"Nim Dvir, Ruti Gafni","cross_cats":["cs.DL","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-23T09:23:08Z","title":"Systematic improvement of user engagement with academic titles using computational linguistics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09569","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":"sha256:9f073bf10f40348d0b9c4b49950bc948249b5dcfa13ea0b1d413d0c8c054d054","target":"record","created_at":"2026-05-17T23:42:37Z","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":"ed1f5d0da592f57440f575806ebe562c242d0518ea1183f38d2f0b050a135baf","cross_cats_sorted":["cs.DL","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2019-06-23T09:23:08Z","title_canon_sha256":"2f8c1bfc1e1ef19e8df8832b55a92d514ed173e2a679ef038da99d668c0ba61b"},"schema_version":"1.0","source":{"id":"1906.09569","kind":"arxiv","version":1}},"canonical_sha256":"a7983ea29dec24918585a519201ca336885c349d0c8a8f6f1bd9d3f503a787a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7983ea29dec24918585a519201ca336885c349d0c8a8f6f1bd9d3f503a787a2","first_computed_at":"2026-05-17T23:42:37.526765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:37.526765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fcmC9F5fhUXB3JTbYx5dAAAj/XbxLCIbaP5zyXgGje8ik4tvpq0A3tfMyRb3tkpTdwHWY1MlAHlOiGSQ51qqDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:37.527442Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f073bf10f40348d0b9c4b49950bc948249b5dcfa13ea0b1d413d0c8c054d054","sha256:55d15b6bef4c138534f5a87e67292871b2e1bb4eaba6810aa74b8ed122dc2ff3"],"state_sha256":"b23336464e35ad8b360ebd39f68e1d5ef9967eaadda96ea6d128fef32c76a625"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7DzsF2BWjp0h878rsKAE4d6ozpXyhKPSYadBAunI0dKzw04z652K6/UnUUMkjJRtzSr4ifluUn5f3RwOnh79CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T14:53:15.664831Z","bundle_sha256":"110af6c338c41ac09cee8e112bff0bb1b289757708553bd300c6c6fb236f7876"}}