{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NHWEQ44IBQTG7A2U4FZQM5PXE5","short_pith_number":"pith:NHWEQ44I","canonical_record":{"source":{"id":"2405.20703","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-31T08:57:09Z","cross_cats_sorted":[],"title_canon_sha256":"f512ba1ce3fc923820f9e03068951bb7ec21aff7f4c90099bf808da62f9b23fc","abstract_canon_sha256":"e89b47da344480ad48f7d694f3d39090ca0b96a7a5202a1b2d8f39ca59f60ffc"},"schema_version":"1.0"},"canonical_sha256":"69ec4873880c266f8354e1730675f7274e86e33e7597ab5c26a95222c0db41ed","source":{"kind":"arxiv","id":"2405.20703","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20703","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20703v2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20703","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"NHWEQ44IBQTG","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"NHWEQ44IBQTG7A2U","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"NHWEQ44I","created_at":"2026-07-05T08:28:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NHWEQ44IBQTG7A2U4FZQM5PXE5","target":"record","payload":{"canonical_record":{"source":{"id":"2405.20703","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-31T08:57:09Z","cross_cats_sorted":[],"title_canon_sha256":"f512ba1ce3fc923820f9e03068951bb7ec21aff7f4c90099bf808da62f9b23fc","abstract_canon_sha256":"e89b47da344480ad48f7d694f3d39090ca0b96a7a5202a1b2d8f39ca59f60ffc"},"schema_version":"1.0"},"canonical_sha256":"69ec4873880c266f8354e1730675f7274e86e33e7597ab5c26a95222c0db41ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:10.774371Z","signature_b64":"MtsXwiz2DCqnhwLa+YQgeQarLvfwB21poJBkPk+Aw6Euxm6kwNzQBp/+Hk4Q50fnq2IjT/4ZHUtDZa8bthfhCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69ec4873880c266f8354e1730675f7274e86e33e7597ab5c26a95222c0db41ed","last_reissued_at":"2026-07-05T08:28:10.773916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:10.773916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.20703","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MBeR+3aR/RTDQRbLD7qtxUwGAcWVEM6cKGCIed0R1rMyGD1wwR06/HK/5+6rE748eLmCw35qB0ENJ44QHuYHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:10:52.204690Z"},"content_sha256":"5ef0d85364c348ccbc78ac3b2377dab87ce28a37a20b26348e542bb96ef4e791","schema_version":"1.0","event_id":"sha256:5ef0d85364c348ccbc78ac3b2377dab87ce28a37a20b26348e542bb96ef4e791"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NHWEQ44IBQTG7A2U4FZQM5PXE5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Laura Cabello, Uchenna Akujuobi","submitted_at":"2024-05-31T08:57:09Z","abstract_excerpt":"Aspect-Based Sentiment Analysis (ABSA) involves extracting opinions from textual data about specific entities and their corresponding aspects through various complementary subtasks. Several prior research has focused on developing ad hoc designs of varying complexities for these subtasks. In this paper, we present a generative framework extensible to any ABSA subtask. We build upon the instruction tuned model proposed by Scaria et al. (2023), who present an instruction-based model with task descriptions followed by in-context examples on ABSA subtasks. We propose PFInstruct, an extension to th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20703","kind":"arxiv","version":2},"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/2405.20703/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":"2026-07-05T08:28:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CJr17seS59iBqUb+nRbqJBYOiNGjuXJ5HjnM2TIbrJdQCGGcuotQ/stUHcLMnEw8/etpJe5qGVxnjVeSSbqWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T04:10:52.205274Z"},"content_sha256":"250abdf8c09f79f44193f4818639bd757226491db74e1f2c4a01970540056ac7","schema_version":"1.0","event_id":"sha256:250abdf8c09f79f44193f4818639bd757226491db74e1f2c4a01970540056ac7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/bundle.json","state_url":"https://pith.science/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/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":"2026-08-16T04:10:52Z","links":{"resolver":"https://pith.science/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5","bundle":"https://pith.science/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/bundle.json","state":"https://pith.science/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NHWEQ44IBQTG7A2U4FZQM5PXE5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NHWEQ44IBQTG7A2U4FZQM5PXE5","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":"e89b47da344480ad48f7d694f3d39090ca0b96a7a5202a1b2d8f39ca59f60ffc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-31T08:57:09Z","title_canon_sha256":"f512ba1ce3fc923820f9e03068951bb7ec21aff7f4c90099bf808da62f9b23fc"},"schema_version":"1.0","source":{"id":"2405.20703","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20703","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20703v2","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20703","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_12","alias_value":"NHWEQ44IBQTG","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_16","alias_value":"NHWEQ44IBQTG7A2U","created_at":"2026-07-05T08:28:10Z"},{"alias_kind":"pith_short_8","alias_value":"NHWEQ44I","created_at":"2026-07-05T08:28:10Z"}],"graph_snapshots":[{"event_id":"sha256:250abdf8c09f79f44193f4818639bd757226491db74e1f2c4a01970540056ac7","target":"graph","created_at":"2026-07-05T08:28:10Z","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/2405.20703/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aspect-Based Sentiment Analysis (ABSA) involves extracting opinions from textual data about specific entities and their corresponding aspects through various complementary subtasks. Several prior research has focused on developing ad hoc designs of varying complexities for these subtasks. In this paper, we present a generative framework extensible to any ABSA subtask. We build upon the instruction tuned model proposed by Scaria et al. (2023), who present an instruction-based model with task descriptions followed by in-context examples on ABSA subtasks. We propose PFInstruct, an extension to th","authors_text":"Laura Cabello, Uchenna Akujuobi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-31T08:57:09Z","title":"It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20703","kind":"arxiv","version":2},"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":"sha256:5ef0d85364c348ccbc78ac3b2377dab87ce28a37a20b26348e542bb96ef4e791","target":"record","created_at":"2026-07-05T08:28:10Z","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":"e89b47da344480ad48f7d694f3d39090ca0b96a7a5202a1b2d8f39ca59f60ffc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-31T08:57:09Z","title_canon_sha256":"f512ba1ce3fc923820f9e03068951bb7ec21aff7f4c90099bf808da62f9b23fc"},"schema_version":"1.0","source":{"id":"2405.20703","kind":"arxiv","version":2}},"canonical_sha256":"69ec4873880c266f8354e1730675f7274e86e33e7597ab5c26a95222c0db41ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69ec4873880c266f8354e1730675f7274e86e33e7597ab5c26a95222c0db41ed","first_computed_at":"2026-07-05T08:28:10.773916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:10.773916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MtsXwiz2DCqnhwLa+YQgeQarLvfwB21poJBkPk+Aw6Euxm6kwNzQBp/+Hk4Q50fnq2IjT/4ZHUtDZa8bthfhCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:10.774371Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.20703","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ef0d85364c348ccbc78ac3b2377dab87ce28a37a20b26348e542bb96ef4e791","sha256:250abdf8c09f79f44193f4818639bd757226491db74e1f2c4a01970540056ac7"],"state_sha256":"a2e7010456695e64e0c32493d2c6825105a1f633154d36d0580e06e0f31ac232"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2qWaqT/xr9C03MzbIDje6fvmrE0z4fBl7M/M/V0sKyCfUK1cQQsQkGH0OzdOGIQ4cSZ/L3HkUHg3LFKsw73uBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T04:10:52.208946Z","bundle_sha256":"f022edf332938f192d2f1905da137c496c788eb9f142c97cb35bf83f420f232d"}}