{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:H3GPKJGNYKX5Z46FPUN5IA4J5Q","short_pith_number":"pith:H3GPKJGN","canonical_record":{"source":{"id":"2305.05936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T07:13:47Z","cross_cats_sorted":[],"title_canon_sha256":"e54eb74e3699fd1bfff17ceca9ec8426cce2e1e80361fabaff1bb18e2c40ddda","abstract_canon_sha256":"80ecb119b44884d8ad2f32da83606a58216c2f256bf64d10a742aadcf1bb6011"},"schema_version":"1.0"},"canonical_sha256":"3eccf524cdc2afdcf3c57d1bd40389ec3c773ddfb7708d6f624a57a402e5b115","source":{"kind":"arxiv","id":"2305.05936","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.05936","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.05936v1","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.05936","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"H3GPKJGNYKX5","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"H3GPKJGNYKX5Z46F","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"H3GPKJGN","created_at":"2026-07-05T06:08:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:H3GPKJGNYKX5Z46FPUN5IA4J5Q","target":"record","payload":{"canonical_record":{"source":{"id":"2305.05936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T07:13:47Z","cross_cats_sorted":[],"title_canon_sha256":"e54eb74e3699fd1bfff17ceca9ec8426cce2e1e80361fabaff1bb18e2c40ddda","abstract_canon_sha256":"80ecb119b44884d8ad2f32da83606a58216c2f256bf64d10a742aadcf1bb6011"},"schema_version":"1.0"},"canonical_sha256":"3eccf524cdc2afdcf3c57d1bd40389ec3c773ddfb7708d6f624a57a402e5b115","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:57.788447Z","signature_b64":"H0t6O4O4ET8VcNZHTxM9JMFX8qHhpygixn9+bB6NUyhoRbdL1umxCFHLNH5wb78PXJo5j4JZGPbydMpPewRsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3eccf524cdc2afdcf3c57d1bd40389ec3c773ddfb7708d6f624a57a402e5b115","last_reissued_at":"2026-07-05T06:08:57.788043Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:57.788043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.05936","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":"2026-07-05T06:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lcqZ8dJK8gdMLhLYg2DSodz2vIjKfKoJ1c812bkeLcU0pf169IpzKqPCas1ZcPUhm3+5nfvtpoLUBHJyjaLnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:47:55.081168Z"},"content_sha256":"fbee2391372a676679d01cdba3c701e7e20fdda31c46897903b90bbee7ee4a96","schema_version":"1.0","event_id":"sha256:fbee2391372a676679d01cdba3c701e7e20fdda31c46897903b90bbee7ee4a96"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:H3GPKJGNYKX5Z46FPUN5IA4J5Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Biwei Cao, Bo Liu, Jiuxin Cao, Qingqing Gao, Xin Guan, Zheng Yin","submitted_at":"2023-05-10T07:13:47Z","abstract_excerpt":"Commonsense question answering (QA) research requires machines to answer questions based on commonsense knowledge. However, this research requires expensive labor costs to annotate data as the basis of research, and models that rely on fine-tuning paradigms only apply to specific tasks, rather than learn a general commonsense reasoning ability. As a more robust method, zero-shot commonsense question answering shows a good prospect. The current zero-shot framework tries to convert triples in commonsense knowledge graphs (KGs) into QA-form samples as the pre-trained data source to incorporate co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.05936","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/2305.05936/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":"2026-07-05T06:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DYvYZhpezmtSiaU7B210F+PLxllWNItiozkbqSk4FZRlGrIxChEV5R8muA5XvHL/+2+DaoRaCgKK1yeFlwDiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:47:55.081546Z"},"content_sha256":"4726caeff06678ee87fbb3fe0745d48deebc9dbbaea0e79a4f498d0c671f323d","schema_version":"1.0","event_id":"sha256:4726caeff06678ee87fbb3fe0745d48deebc9dbbaea0e79a4f498d0c671f323d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/bundle.json","state_url":"https://pith.science/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/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":"2026-07-07T08:47:55Z","links":{"resolver":"https://pith.science/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q","bundle":"https://pith.science/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/bundle.json","state":"https://pith.science/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H3GPKJGNYKX5Z46FPUN5IA4J5Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:H3GPKJGNYKX5Z46FPUN5IA4J5Q","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":"80ecb119b44884d8ad2f32da83606a58216c2f256bf64d10a742aadcf1bb6011","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T07:13:47Z","title_canon_sha256":"e54eb74e3699fd1bfff17ceca9ec8426cce2e1e80361fabaff1bb18e2c40ddda"},"schema_version":"1.0","source":{"id":"2305.05936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.05936","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"2305.05936v1","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.05936","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"H3GPKJGNYKX5","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_16","alias_value":"H3GPKJGNYKX5Z46F","created_at":"2026-07-05T06:08:57Z"},{"alias_kind":"pith_short_8","alias_value":"H3GPKJGN","created_at":"2026-07-05T06:08:57Z"}],"graph_snapshots":[{"event_id":"sha256:4726caeff06678ee87fbb3fe0745d48deebc9dbbaea0e79a4f498d0c671f323d","target":"graph","created_at":"2026-07-05T06:08:57Z","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/2305.05936/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Commonsense question answering (QA) research requires machines to answer questions based on commonsense knowledge. However, this research requires expensive labor costs to annotate data as the basis of research, and models that rely on fine-tuning paradigms only apply to specific tasks, rather than learn a general commonsense reasoning ability. As a more robust method, zero-shot commonsense question answering shows a good prospect. The current zero-shot framework tries to convert triples in commonsense knowledge graphs (KGs) into QA-form samples as the pre-trained data source to incorporate co","authors_text":"Biwei Cao, Bo Liu, Jiuxin Cao, Qingqing Gao, Xin Guan, Zheng Yin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T07:13:47Z","title":"Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.05936","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:fbee2391372a676679d01cdba3c701e7e20fdda31c46897903b90bbee7ee4a96","target":"record","created_at":"2026-07-05T06:08:57Z","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":"80ecb119b44884d8ad2f32da83606a58216c2f256bf64d10a742aadcf1bb6011","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-10T07:13:47Z","title_canon_sha256":"e54eb74e3699fd1bfff17ceca9ec8426cce2e1e80361fabaff1bb18e2c40ddda"},"schema_version":"1.0","source":{"id":"2305.05936","kind":"arxiv","version":1}},"canonical_sha256":"3eccf524cdc2afdcf3c57d1bd40389ec3c773ddfb7708d6f624a57a402e5b115","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3eccf524cdc2afdcf3c57d1bd40389ec3c773ddfb7708d6f624a57a402e5b115","first_computed_at":"2026-07-05T06:08:57.788043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:57.788043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H0t6O4O4ET8VcNZHTxM9JMFX8qHhpygixn9+bB6NUyhoRbdL1umxCFHLNH5wb78PXJo5j4JZGPbydMpPewRsAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:57.788447Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.05936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbee2391372a676679d01cdba3c701e7e20fdda31c46897903b90bbee7ee4a96","sha256:4726caeff06678ee87fbb3fe0745d48deebc9dbbaea0e79a4f498d0c671f323d"],"state_sha256":"4c77790761b8b751174930a2c9519c6f4768c1f4a72cc85b98634850c7d067d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n0NfH8W37JxVw7qpsNfVFPI3fAjE6yvGjHU+ORFmb2NXPto8RSQvH+CZ/Fu/Kq38QHfksfyjsNSZS8waoJXrBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:47:55.083420Z","bundle_sha256":"4940eb84c576b42222b0cd21f288267034c74530cea9a2d1d8a82cff6d7b09fd"}}