{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AMYMYIWSWHH6CXSUKF67ANH2LN","short_pith_number":"pith:AMYMYIWS","canonical_record":{"source":{"id":"2210.02890","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-06T13:08:41Z","cross_cats_sorted":[],"title_canon_sha256":"6e6a194bcebf0bb5ee36e529862ac9b1fa3144a93bf018142c073f73d5476738","abstract_canon_sha256":"b2e137402f0946cbd38d7e4631e086feef4a94ad3d68351f380fe03305fca82b"},"schema_version":"1.0"},"canonical_sha256":"0330cc22d2b1cfe15e54517df034fa5b5aacc3c90041240e1db3e17bab98bf1b","source":{"kind":"arxiv","id":"2210.02890","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02890","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02890v2","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02890","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"AMYMYIWSWHH6","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"AMYMYIWSWHH6CXSU","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"AMYMYIWS","created_at":"2026-07-05T05:12:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AMYMYIWSWHH6CXSUKF67ANH2LN","target":"record","payload":{"canonical_record":{"source":{"id":"2210.02890","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-06T13:08:41Z","cross_cats_sorted":[],"title_canon_sha256":"6e6a194bcebf0bb5ee36e529862ac9b1fa3144a93bf018142c073f73d5476738","abstract_canon_sha256":"b2e137402f0946cbd38d7e4631e086feef4a94ad3d68351f380fe03305fca82b"},"schema_version":"1.0"},"canonical_sha256":"0330cc22d2b1cfe15e54517df034fa5b5aacc3c90041240e1db3e17bab98bf1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:54.096142Z","signature_b64":"3LNBCYksQlgS5LvHTMJUzCgyeJyCvc+TQXWCarXWlgrHlQpSwLUHdcIHgmW3fHNBHCkUyLQi9RlBB0o74BopBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0330cc22d2b1cfe15e54517df034fa5b5aacc3c90041240e1db3e17bab98bf1b","last_reissued_at":"2026-07-05T05:12:54.095737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:54.095737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.02890","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":"2026-07-05T05:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rNRB5Dz/qmwGEZpynM2CUCiCcwof39Q6bZTcUR5xmrAVJK0ee1vNZXSYY2HRWPK/fkhq++ANhLOGtYuBfneYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:13:36.593639Z"},"content_sha256":"5e0feea7d2f55a59dc68f8ba1c803134dab4cedd458b0ad0bf892d4765716c78","schema_version":"1.0","event_id":"sha256:5e0feea7d2f55a59dc68f8ba1c803134dab4cedd458b0ad0bf892d4765716c78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AMYMYIWSWHH6CXSUKF67ANH2LN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multiview Contextual Commonsense Inference: A New Dataset and Task","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Deepanway Ghosal, Henry Lim, Navonil Majumder, Rada Mihalcea, Siqi Shen, Soujanya Poria","submitted_at":"2022-10-06T13:08:41Z","abstract_excerpt":"Contextual commonsense inference is the task of generating various types of explanations around the events in a dyadic dialogue, including cause, motivation, emotional reaction, and others. Producing a coherent and non-trivial explanation requires awareness of the dialogue's structure and of how an event is grounded in the context. In this work, we create CICEROv2, a dataset consisting of 8,351 instances from 2,379 dialogues, containing multiple human-written answers for each contextual commonsense inference question, representing a type of explanation on cause, subsequent event, motivation, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02890","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/2210.02890/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":"2026-07-05T05:12:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfaedGHLppjhgH2QymO188U3xEy9p/k/uAvUWAzRQhFxiV3BiFPJnKrDuJjq+fXnHTkQbECyMa7uhA5k+EJsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:13:36.594160Z"},"content_sha256":"fdcec8401b39338a2123866de78b11f440fb2ec47af158fb37106d127ee8029a","schema_version":"1.0","event_id":"sha256:fdcec8401b39338a2123866de78b11f440fb2ec47af158fb37106d127ee8029a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/bundle.json","state_url":"https://pith.science/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/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":"2026-08-09T11:13:36Z","links":{"resolver":"https://pith.science/pith/AMYMYIWSWHH6CXSUKF67ANH2LN","bundle":"https://pith.science/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/bundle.json","state":"https://pith.science/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AMYMYIWSWHH6CXSUKF67ANH2LN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AMYMYIWSWHH6CXSUKF67ANH2LN","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":"b2e137402f0946cbd38d7e4631e086feef4a94ad3d68351f380fe03305fca82b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-06T13:08:41Z","title_canon_sha256":"6e6a194bcebf0bb5ee36e529862ac9b1fa3144a93bf018142c073f73d5476738"},"schema_version":"1.0","source":{"id":"2210.02890","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.02890","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"arxiv_version","alias_value":"2210.02890v2","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.02890","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_12","alias_value":"AMYMYIWSWHH6","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_16","alias_value":"AMYMYIWSWHH6CXSU","created_at":"2026-07-05T05:12:54Z"},{"alias_kind":"pith_short_8","alias_value":"AMYMYIWS","created_at":"2026-07-05T05:12:54Z"}],"graph_snapshots":[{"event_id":"sha256:fdcec8401b39338a2123866de78b11f440fb2ec47af158fb37106d127ee8029a","target":"graph","created_at":"2026-07-05T05:12:54Z","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/2210.02890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contextual commonsense inference is the task of generating various types of explanations around the events in a dyadic dialogue, including cause, motivation, emotional reaction, and others. Producing a coherent and non-trivial explanation requires awareness of the dialogue's structure and of how an event is grounded in the context. In this work, we create CICEROv2, a dataset consisting of 8,351 instances from 2,379 dialogues, containing multiple human-written answers for each contextual commonsense inference question, representing a type of explanation on cause, subsequent event, motivation, a","authors_text":"Deepanway Ghosal, Henry Lim, Navonil Majumder, Rada Mihalcea, Siqi Shen, Soujanya Poria","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-06T13:08:41Z","title":"Multiview Contextual Commonsense Inference: A New Dataset and Task"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.02890","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":"sha256:5e0feea7d2f55a59dc68f8ba1c803134dab4cedd458b0ad0bf892d4765716c78","target":"record","created_at":"2026-07-05T05:12:54Z","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":"b2e137402f0946cbd38d7e4631e086feef4a94ad3d68351f380fe03305fca82b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-06T13:08:41Z","title_canon_sha256":"6e6a194bcebf0bb5ee36e529862ac9b1fa3144a93bf018142c073f73d5476738"},"schema_version":"1.0","source":{"id":"2210.02890","kind":"arxiv","version":2}},"canonical_sha256":"0330cc22d2b1cfe15e54517df034fa5b5aacc3c90041240e1db3e17bab98bf1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0330cc22d2b1cfe15e54517df034fa5b5aacc3c90041240e1db3e17bab98bf1b","first_computed_at":"2026-07-05T05:12:54.095737Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:54.095737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3LNBCYksQlgS5LvHTMJUzCgyeJyCvc+TQXWCarXWlgrHlQpSwLUHdcIHgmW3fHNBHCkUyLQi9RlBB0o74BopBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:54.096142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.02890","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e0feea7d2f55a59dc68f8ba1c803134dab4cedd458b0ad0bf892d4765716c78","sha256:fdcec8401b39338a2123866de78b11f440fb2ec47af158fb37106d127ee8029a"],"state_sha256":"07a3f935695bce01b2ffd323bd3901707aaae7c15f300a5132bea096deed4913"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kW09tMOiRHbjQTU6f9plWHv8zU1On+Yzfn8BQVR/ov9HIQooUIm0SefGNNxrgiN7LFfrbSP1pt4l/UKo4bCLBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:13:36.598852Z","bundle_sha256":"e6eeab0caf916fc9686d1342a26ac678e095eef5d26e3ccbc56a201f441ddfc1"}}