{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:4K3FWCVAABFKBV6WYYJGYRWEBJ","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":"17c22500e98fe3d959b109ffbc3b44da622bbd57709c9a12fddc382ad9880ac6","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-04T21:41:34Z","title_canon_sha256":"18309c882372a246e9320f189f9e661ec05694a0b21f5fbe26e693cae910ac21"},"schema_version":"1.0","source":{"id":"2011.08091","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.08091","created_at":"2026-07-05T03:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2011.08091v3","created_at":"2026-07-05T03:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.08091","created_at":"2026-07-05T03:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"4K3FWCVAABFK","created_at":"2026-07-05T03:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"4K3FWCVAABFKBV6W","created_at":"2026-07-05T03:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"4K3FWCVA","created_at":"2026-07-05T03:15:29Z"}],"graph_snapshots":[{"event_id":"sha256:cd70589afe4adf900f269e25a6541f93f89a7c7c06335d10df5064272fdf0947","target":"graph","created_at":"2026-07-05T03:15:29Z","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/2011.08091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sentiment quantification is the task of training, by means of supervised learning, estimators of the relative frequency (also called ``prevalence'') of sentiment-related classes (such as \\textsf{Positive}, \\textsf{Neutral}, \\textsf{Negative}) in a sample of unlabelled texts. This task is especially important when these texts are tweets, since the final goal of most sentiment classification efforts carried out on Twitter data is actually quantification (and not the classification of individual tweets). It is well-known that solving quantification by means of ``classify and count'' (i.e., by cla","authors_text":"Alejandro Moreo, Fabrizio Sebastiani","cross_cats":["cs.AI","cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-04T21:41:34Z","title":"Tweet Sentiment Quantification: An Experimental Re-Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.08091","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":"sha256:63b9ce2a14d602a11ef393910ac2af0a0c13015904d5d7d3c596125235fa729a","target":"record","created_at":"2026-07-05T03:15:29Z","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":"17c22500e98fe3d959b109ffbc3b44da622bbd57709c9a12fddc382ad9880ac6","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-11-04T21:41:34Z","title_canon_sha256":"18309c882372a246e9320f189f9e661ec05694a0b21f5fbe26e693cae910ac21"},"schema_version":"1.0","source":{"id":"2011.08091","kind":"arxiv","version":3}},"canonical_sha256":"e2b65b0aa0004aa0d7d6c6126c46c40a51e8aa1afd2383f44d6dd61dac25bc49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2b65b0aa0004aa0d7d6c6126c46c40a51e8aa1afd2383f44d6dd61dac25bc49","first_computed_at":"2026-07-05T03:15:29.784845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:15:29.784845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IUGFr4Ylwrw/bCU4WHNsuCjRI3vcmLw55Rz6JONwg/6aiPjRIRHbN3ZwE3ugRcZgE3bRXY5JzfXzgyCWWg0eCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:15:29.785246Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.08091","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63b9ce2a14d602a11ef393910ac2af0a0c13015904d5d7d3c596125235fa729a","sha256:cd70589afe4adf900f269e25a6541f93f89a7c7c06335d10df5064272fdf0947"],"state_sha256":"1137ac9463c7e220bc74fe68a7b8ab700195cf56016c161c798e9fd09ca3cd7e"}