{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NEKGGHSFTQDBIHKSMRN44PHQ37","short_pith_number":"pith:NEKGGHSF","canonical_record":{"source":{"id":"2406.07365","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-11T15:32:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b706f4c478dccaac2078bf3ae40b9d052a5a1a68cded1c23b20db99b7926d4b0","abstract_canon_sha256":"62bcf837698f2ef560c9aaec7bf04aa4f03b48c68b3db95b2a98a1d70eb55516"},"schema_version":"1.0"},"canonical_sha256":"6914631e459c06141d52645bce3cf0dfed240c4b4c91679ace2e4c0caeeaf2ab","source":{"kind":"arxiv","id":"2406.07365","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07365","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07365v1","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07365","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"NEKGGHSFTQDB","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"NEKGGHSFTQDBIHKS","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"NEKGGHSF","created_at":"2026-07-05T08:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NEKGGHSFTQDBIHKSMRN44PHQ37","target":"record","payload":{"canonical_record":{"source":{"id":"2406.07365","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-11T15:32:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b706f4c478dccaac2078bf3ae40b9d052a5a1a68cded1c23b20db99b7926d4b0","abstract_canon_sha256":"62bcf837698f2ef560c9aaec7bf04aa4f03b48c68b3db95b2a98a1d70eb55516"},"schema_version":"1.0"},"canonical_sha256":"6914631e459c06141d52645bce3cf0dfed240c4b4c91679ace2e4c0caeeaf2ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:22.375392Z","signature_b64":"E5nRrZOTo1KjbladBCL9t0ZLwN8i/tHeNhu+26cPzq+4EjATiQByydDopRvaLaBaBTbYPA5ANLLuAPOcZFNtCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6914631e459c06141d52645bce3cf0dfed240c4b4c91679ace2e4c0caeeaf2ab","last_reissued_at":"2026-07-05T08:30:22.374944Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:22.374944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.07365","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":"2026-07-05T08:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h0POtxFxpuCa6onSVECjSXigfyK0fJ0e3PZRzYXhRBu8k8MhPa1n0c2EXl8qT45Q6/zWJl53z3VoRdCXVxxBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:03:32.823813Z"},"content_sha256":"1bfbf38d5020a7d6907c623299e3f2fe342a260955473c70c6365c88138ad2a8","schema_version":"1.0","event_id":"sha256:1bfbf38d5020a7d6907c623299e3f2fe342a260955473c70c6365c88138ad2a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NEKGGHSFTQDBIHKSMRN44PHQ37","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Hang Gao, Mengting Hu, Renhong Cheng, Xiaoyi Liu, Yalan Xie, Yinhao Bai, Yuhua Zhao, Zhixin Han","submitted_at":"2024-06-11T15:32:32Z","abstract_excerpt":"Aspect sentiment quad prediction (ASQP) aims to predict four aspect-based elements, including aspect term, opinion term, aspect category, and sentiment polarity. In practice, unseen aspects, due to distinct data distribution, impose many challenges for a trained neural model. Motivated by this, this work formulates ASQP into the few-shot scenario, which aims for fast adaptation in real applications. Therefore, we first construct a few-shot ASQP dataset (FSQP) that contains richer categories and is more balanced for the few-shot study. Moreover, recent methods extract quads through a generation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07365","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/2406.07365/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":"2026-07-05T08:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"md6L3gQwRCsyPpSuB2PJ6Z9ev3wdN7XYopNSjnWinAM0sulCPAJdC/+xm0hcK8nyXZSnuPV60YyaNxhOIEtSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:03:32.824391Z"},"content_sha256":"65e4918a8a632a0d34f2810149d6bdda2113378ec0cc6faa3ad489da5443a9b2","schema_version":"1.0","event_id":"sha256:65e4918a8a632a0d34f2810149d6bdda2113378ec0cc6faa3ad489da5443a9b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/bundle.json","state_url":"https://pith.science/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/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":"2026-08-17T16:03:32Z","links":{"resolver":"https://pith.science/pith/NEKGGHSFTQDBIHKSMRN44PHQ37","bundle":"https://pith.science/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/bundle.json","state":"https://pith.science/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NEKGGHSFTQDBIHKSMRN44PHQ37/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NEKGGHSFTQDBIHKSMRN44PHQ37","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":"62bcf837698f2ef560c9aaec7bf04aa4f03b48c68b3db95b2a98a1d70eb55516","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-11T15:32:32Z","title_canon_sha256":"b706f4c478dccaac2078bf3ae40b9d052a5a1a68cded1c23b20db99b7926d4b0"},"schema_version":"1.0","source":{"id":"2406.07365","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07365","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07365v1","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07365","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"NEKGGHSFTQDB","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"NEKGGHSFTQDBIHKS","created_at":"2026-07-05T08:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"NEKGGHSF","created_at":"2026-07-05T08:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:65e4918a8a632a0d34f2810149d6bdda2113378ec0cc6faa3ad489da5443a9b2","target":"graph","created_at":"2026-07-05T08:30:22Z","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/2406.07365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aspect sentiment quad prediction (ASQP) aims to predict four aspect-based elements, including aspect term, opinion term, aspect category, and sentiment polarity. In practice, unseen aspects, due to distinct data distribution, impose many challenges for a trained neural model. Motivated by this, this work formulates ASQP into the few-shot scenario, which aims for fast adaptation in real applications. Therefore, we first construct a few-shot ASQP dataset (FSQP) that contains richer categories and is more balanced for the few-shot study. Moreover, recent methods extract quads through a generation","authors_text":"Hang Gao, Mengting Hu, Renhong Cheng, Xiaoyi Liu, Yalan Xie, Yinhao Bai, Yuhua Zhao, Zhixin Han","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-11T15:32:32Z","title":"BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07365","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":"sha256:1bfbf38d5020a7d6907c623299e3f2fe342a260955473c70c6365c88138ad2a8","target":"record","created_at":"2026-07-05T08:30:22Z","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":"62bcf837698f2ef560c9aaec7bf04aa4f03b48c68b3db95b2a98a1d70eb55516","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-11T15:32:32Z","title_canon_sha256":"b706f4c478dccaac2078bf3ae40b9d052a5a1a68cded1c23b20db99b7926d4b0"},"schema_version":"1.0","source":{"id":"2406.07365","kind":"arxiv","version":1}},"canonical_sha256":"6914631e459c06141d52645bce3cf0dfed240c4b4c91679ace2e4c0caeeaf2ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6914631e459c06141d52645bce3cf0dfed240c4b4c91679ace2e4c0caeeaf2ab","first_computed_at":"2026-07-05T08:30:22.374944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:30:22.374944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E5nRrZOTo1KjbladBCL9t0ZLwN8i/tHeNhu+26cPzq+4EjATiQByydDopRvaLaBaBTbYPA5ANLLuAPOcZFNtCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:30:22.375392Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.07365","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bfbf38d5020a7d6907c623299e3f2fe342a260955473c70c6365c88138ad2a8","sha256:65e4918a8a632a0d34f2810149d6bdda2113378ec0cc6faa3ad489da5443a9b2"],"state_sha256":"4fa7d542d931905318b6bce18f7b5d74d38e19a7ef9ee2a9f1dbf5c884e935ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xf3U+buNrO2V1z44tXTnTnyzj/xDNyfJX+99rsBstPNNADnCJ64SUMDfzkQ51F3aa27Gi1JknPEIYHlqLal4Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T16:03:32.831080Z","bundle_sha256":"129611c9600b23cf3e80b83e95456132c1a5a71392a3edcab906b7ac2c259e6e"}}