{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:EAVPNO2NUMQOCK2RW6VCVG4ALV","short_pith_number":"pith:EAVPNO2N","canonical_record":{"source":{"id":"1906.02361","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-06T00:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"dd1f27c74dcc3ddf327dc5635002374d36eb00cf7716b6e8619f900477792c35","abstract_canon_sha256":"6b21259833089b1b2dbf87486ee8c91d0a72bfb91c2b42c237df3b24cdb79ae5"},"schema_version":"1.0"},"canonical_sha256":"202af6bb4da320e12b51b7aa2a9b805d6a692d9a0a8b1df9ef060dba168bd4ac","source":{"kind":"arxiv","id":"1906.02361","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02361","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02361v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02361","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"EAVPNO2NUMQO","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EAVPNO2NUMQOCK2R","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EAVPNO2N","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:EAVPNO2NUMQOCK2RW6VCVG4ALV","target":"record","payload":{"canonical_record":{"source":{"id":"1906.02361","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-06T00:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"dd1f27c74dcc3ddf327dc5635002374d36eb00cf7716b6e8619f900477792c35","abstract_canon_sha256":"6b21259833089b1b2dbf87486ee8c91d0a72bfb91c2b42c237df3b24cdb79ae5"},"schema_version":"1.0"},"canonical_sha256":"202af6bb4da320e12b51b7aa2a9b805d6a692d9a0a8b1df9ef060dba168bd4ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:01.467394Z","signature_b64":"Ncgzvu1ElkXphIHDV43UMvE61B5N2Wb1HN5zs/HAwqUKoboRUVh+wHdnyegqTYFVYBrC/QniqyMskrFqCPdgAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"202af6bb4da320e12b51b7aa2a9b805d6a692d9a0a8b1df9ef060dba168bd4ac","last_reissued_at":"2026-05-17T23:44:01.466655Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:01.466655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.02361","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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FN4k+svj0ayl1Qh8MRANfteOyonKny9CocmiKurb/dPZUuGJucozfFmURXpPf/il1kGIsZKylCwWx+n4sfn9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:27:54.689395Z"},"content_sha256":"19f334770ea215dcddf5eb964c97a88f322d78fd125f53e1c3a8a58471611e1a","schema_version":"1.0","event_id":"sha256:19f334770ea215dcddf5eb964c97a88f322d78fd125f53e1c3a8a58471611e1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:EAVPNO2NUMQOCK2RW6VCVG4ALV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explain Yourself! Leveraging Language Models for Commonsense Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bryan McCann, Caiming Xiong, Nazneen Fatema Rajani, Richard Socher","submitted_at":"2019-06-06T00:02:37Z","abstract_excerpt":"Deep learning models perform poorly on tasks that require commonsense reasoning, which often necessitates some form of world-knowledge or reasoning over information not immediately present in the input. We collect human explanations for commonsense reasoning in the form of natural language sequences and highlighted annotations in a new dataset called Common Sense Explanations (CoS-E). We use CoS-E to train language models to automatically generate explanations that can be used during training and inference in a novel Commonsense Auto-Generated Explanation (CAGE) framework. CAGE improves the st"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02361","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":""},"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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Kc4jeJdYWP1O3iCSc8mMn+heIz+io1ZPyMdcjmo+le21bumlr/QOpSL9AwqVGBt+V5axStSYf5eCWg3jkwpCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:27:54.689797Z"},"content_sha256":"b969f04d38adf7e094de2be9382dab608b7634bc5ec0eafc90ce2865ba08166b","schema_version":"1.0","event_id":"sha256:b969f04d38adf7e094de2be9382dab608b7634bc5ec0eafc90ce2865ba08166b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/bundle.json","state_url":"https://pith.science/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/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":"2026-05-27T17:27:54Z","links":{"resolver":"https://pith.science/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV","bundle":"https://pith.science/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/bundle.json","state":"https://pith.science/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EAVPNO2NUMQOCK2RW6VCVG4ALV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EAVPNO2NUMQOCK2RW6VCVG4ALV","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":"6b21259833089b1b2dbf87486ee8c91d0a72bfb91c2b42c237df3b24cdb79ae5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-06T00:02:37Z","title_canon_sha256":"dd1f27c74dcc3ddf327dc5635002374d36eb00cf7716b6e8619f900477792c35"},"schema_version":"1.0","source":{"id":"1906.02361","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02361","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02361v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02361","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"EAVPNO2NUMQO","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"EAVPNO2NUMQOCK2R","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"EAVPNO2N","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:b969f04d38adf7e094de2be9382dab608b7634bc5ec0eafc90ce2865ba08166b","target":"graph","created_at":"2026-05-17T23:44:01Z","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"},"paper":{"abstract_excerpt":"Deep learning models perform poorly on tasks that require commonsense reasoning, which often necessitates some form of world-knowledge or reasoning over information not immediately present in the input. We collect human explanations for commonsense reasoning in the form of natural language sequences and highlighted annotations in a new dataset called Common Sense Explanations (CoS-E). We use CoS-E to train language models to automatically generate explanations that can be used during training and inference in a novel Commonsense Auto-Generated Explanation (CAGE) framework. CAGE improves the st","authors_text":"Bryan McCann, Caiming Xiong, Nazneen Fatema Rajani, Richard Socher","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-06T00:02:37Z","title":"Explain Yourself! Leveraging Language Models for Commonsense Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02361","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":"sha256:19f334770ea215dcddf5eb964c97a88f322d78fd125f53e1c3a8a58471611e1a","target":"record","created_at":"2026-05-17T23:44:01Z","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":"6b21259833089b1b2dbf87486ee8c91d0a72bfb91c2b42c237df3b24cdb79ae5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-06T00:02:37Z","title_canon_sha256":"dd1f27c74dcc3ddf327dc5635002374d36eb00cf7716b6e8619f900477792c35"},"schema_version":"1.0","source":{"id":"1906.02361","kind":"arxiv","version":1}},"canonical_sha256":"202af6bb4da320e12b51b7aa2a9b805d6a692d9a0a8b1df9ef060dba168bd4ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"202af6bb4da320e12b51b7aa2a9b805d6a692d9a0a8b1df9ef060dba168bd4ac","first_computed_at":"2026-05-17T23:44:01.466655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:01.466655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ncgzvu1ElkXphIHDV43UMvE61B5N2Wb1HN5zs/HAwqUKoboRUVh+wHdnyegqTYFVYBrC/QniqyMskrFqCPdgAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:01.467394Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.02361","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19f334770ea215dcddf5eb964c97a88f322d78fd125f53e1c3a8a58471611e1a","sha256:b969f04d38adf7e094de2be9382dab608b7634bc5ec0eafc90ce2865ba08166b"],"state_sha256":"af42b0cc5e0395ddff1790655ae976d64f49b140dc201d0958203f655e8217bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VAXrRdJYQC80M431vmuLLPD8fto2vDUU+rW4jYJygW8KRzNZw0Y9CY4YKyoHulEttux3JZ3YbNnyvb4dfRxkCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T17:27:54.693135Z","bundle_sha256":"65707db04b6331ef480de235aed53dc578a39d246e550e21d66e6f93d1ff2784"}}