{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2005:M33QJS2RMN6MFINMBLIOYQNDJX","short_pith_number":"pith:M33QJS2R","canonical_record":{"source":{"id":"cs/0506075","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.CL","submitted_at":"2005-06-17T20:10:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1bc412374a3dd451a8c58bd6590b37775efae70e1d2ae7d2a665edeb3651d402","abstract_canon_sha256":"86f74ae41b70da826d4a2059d4b7a26b4f5b159e787be873411d4c91adc8d302"},"schema_version":"1.0"},"canonical_sha256":"66f704cb51637cc2a1ac0ad0ec41a34df27b8575ca2eee7ec64444e3fb3d721d","source":{"kind":"arxiv","id":"cs/0506075","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0506075","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0506075v1","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0506075","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_12","alias_value":"M33QJS2RMN6M","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_16","alias_value":"M33QJS2RMN6MFINM","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_8","alias_value":"M33QJS2R","created_at":"2026-07-04T14:25:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2005:M33QJS2RMN6MFINMBLIOYQNDJX","target":"record","payload":{"canonical_record":{"source":{"id":"cs/0506075","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"cs.CL","submitted_at":"2005-06-17T20:10:43Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1bc412374a3dd451a8c58bd6590b37775efae70e1d2ae7d2a665edeb3651d402","abstract_canon_sha256":"86f74ae41b70da826d4a2059d4b7a26b4f5b159e787be873411d4c91adc8d302"},"schema_version":"1.0"},"canonical_sha256":"66f704cb51637cc2a1ac0ad0ec41a34df27b8575ca2eee7ec64444e3fb3d721d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T14:25:03.400117Z","signature_b64":"aNT88ju+iBT2hLa9mEhfq17PTwtru2DApNcp4S8gejDf8d7GDeJzhCu6gNJrxOpsTyEOqwTPveVlw6dhDh0pDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66f704cb51637cc2a1ac0ad0ec41a34df27b8575ca2eee7ec64444e3fb3d721d","last_reissued_at":"2026-07-04T14:25:03.399691Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T14:25:03.399691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"cs/0506075","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":"2026-07-04T14:25:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8AastajMTe7ecAre7QfCBl8EyLvFnHW6vRxYmHXKF3Km40yq4qH3wtk1w2w2GQsHx98ebJPXZ2Dzf0nsy2ytAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:12:52.513820Z"},"content_sha256":"46de2a79c1b19e9360e42416044305f5a486074f47aac1699ce4ac20401767f9","schema_version":"1.0","event_id":"sha256:46de2a79c1b19e9360e42416044305f5a486074f47aac1699ce4ac20401767f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2005:M33QJS2RMN6MFINMBLIOYQNDJX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales","license":"","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Bo Pang, Lillian Lee","submitted_at":"2005-06-17T20:10:43Z","abstract_excerpt":"We address the rating-inference problem, wherein rather than simply decide whether a review is \"thumbs up\" or \"thumbs down\", as in previous sentiment analysis work, one must determine an author's evaluation with respect to a multi-point scale (e.g., one to five \"stars\"). This task represents an interesting twist on standard multi-class text categorization because there are several different degrees of similarity between class labels; for example, \"three stars\" is intuitively closer to \"four stars\" than to \"one star\". We first evaluate human performance at the task. Then, we apply a meta-algori"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0506075","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/cs/0506075/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":"2026-07-04T14:25:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"umqM14MfaIuikTxgoUB6N6iKp8I8a8/T6ccMALxFTxpu8LAyY/fnyJrvqQvRLNPMbRroV4+lNELIspfMYIbZBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T16:12:52.514206Z"},"content_sha256":"c274283fdb6d3ce68db9eca1ed3d939230bd66124bfce2f51fea48fbb9a2ed93","schema_version":"1.0","event_id":"sha256:c274283fdb6d3ce68db9eca1ed3d939230bd66124bfce2f51fea48fbb9a2ed93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M33QJS2RMN6MFINMBLIOYQNDJX/bundle.json","state_url":"https://pith.science/pith/M33QJS2RMN6MFINMBLIOYQNDJX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M33QJS2RMN6MFINMBLIOYQNDJX/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":"2026-07-18T16:12:52Z","links":{"resolver":"https://pith.science/pith/M33QJS2RMN6MFINMBLIOYQNDJX","bundle":"https://pith.science/pith/M33QJS2RMN6MFINMBLIOYQNDJX/bundle.json","state":"https://pith.science/pith/M33QJS2RMN6MFINMBLIOYQNDJX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M33QJS2RMN6MFINMBLIOYQNDJX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2005:M33QJS2RMN6MFINMBLIOYQNDJX","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":"86f74ae41b70da826d4a2059d4b7a26b4f5b159e787be873411d4c91adc8d302","cross_cats_sorted":["cs.LG"],"license":"","primary_cat":"cs.CL","submitted_at":"2005-06-17T20:10:43Z","title_canon_sha256":"1bc412374a3dd451a8c58bd6590b37775efae70e1d2ae7d2a665edeb3651d402"},"schema_version":"1.0","source":{"id":"cs/0506075","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"cs/0506075","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"arxiv_version","alias_value":"cs/0506075v1","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.cs/0506075","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_12","alias_value":"M33QJS2RMN6M","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_16","alias_value":"M33QJS2RMN6MFINM","created_at":"2026-07-04T14:25:03Z"},{"alias_kind":"pith_short_8","alias_value":"M33QJS2R","created_at":"2026-07-04T14:25:03Z"}],"graph_snapshots":[{"event_id":"sha256:c274283fdb6d3ce68db9eca1ed3d939230bd66124bfce2f51fea48fbb9a2ed93","target":"graph","created_at":"2026-07-04T14:25:03Z","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/cs/0506075/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the rating-inference problem, wherein rather than simply decide whether a review is \"thumbs up\" or \"thumbs down\", as in previous sentiment analysis work, one must determine an author's evaluation with respect to a multi-point scale (e.g., one to five \"stars\"). This task represents an interesting twist on standard multi-class text categorization because there are several different degrees of similarity between class labels; for example, \"three stars\" is intuitively closer to \"four stars\" than to \"one star\". We first evaluate human performance at the task. Then, we apply a meta-algori","authors_text":"Bo Pang, Lillian Lee","cross_cats":["cs.LG"],"headline":"","license":"","primary_cat":"cs.CL","submitted_at":"2005-06-17T20:10:43Z","title":"Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"cs/0506075","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":"sha256:46de2a79c1b19e9360e42416044305f5a486074f47aac1699ce4ac20401767f9","target":"record","created_at":"2026-07-04T14:25:03Z","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":"86f74ae41b70da826d4a2059d4b7a26b4f5b159e787be873411d4c91adc8d302","cross_cats_sorted":["cs.LG"],"license":"","primary_cat":"cs.CL","submitted_at":"2005-06-17T20:10:43Z","title_canon_sha256":"1bc412374a3dd451a8c58bd6590b37775efae70e1d2ae7d2a665edeb3651d402"},"schema_version":"1.0","source":{"id":"cs/0506075","kind":"arxiv","version":1}},"canonical_sha256":"66f704cb51637cc2a1ac0ad0ec41a34df27b8575ca2eee7ec64444e3fb3d721d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66f704cb51637cc2a1ac0ad0ec41a34df27b8575ca2eee7ec64444e3fb3d721d","first_computed_at":"2026-07-04T14:25:03.399691Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T14:25:03.399691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aNT88ju+iBT2hLa9mEhfq17PTwtru2DApNcp4S8gejDf8d7GDeJzhCu6gNJrxOpsTyEOqwTPveVlw6dhDh0pDw==","signature_status":"signed_v1","signed_at":"2026-07-04T14:25:03.400117Z","signed_message":"canonical_sha256_bytes"},"source_id":"cs/0506075","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46de2a79c1b19e9360e42416044305f5a486074f47aac1699ce4ac20401767f9","sha256:c274283fdb6d3ce68db9eca1ed3d939230bd66124bfce2f51fea48fbb9a2ed93"],"state_sha256":"c03f3362e484f359ba2ae0aa15019ee1b9b65a3a1f142bef60973e38325d2673"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8qW36W4FIg4Ae0BKyeu5cYzagKi69cXOUSirwm1M0TG8tLllKqe4eu5i7BuwEepC8PQ5YVPCVLfYa34vpcR3Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T16:12:52.516973Z","bundle_sha256":"838f0307e58db716d9b7e7b8bf17deb884eb0af5e8ccfc8b26731b0adbfb6cf2"}}