{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HK5BVO62I56LIZC6KBRBNJO4GS","short_pith_number":"pith:HK5BVO62","canonical_record":{"source":{"id":"1809.03051","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-09T22:33:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ecc5e550b689ef26b63de9d96cbdfc85bdf1d3e82d41eefda9213bef4a233f3b","abstract_canon_sha256":"30cac1fdab422aef813d5abbf3ee5af6ef0c969e04ee9a9d30430dfe4021a110"},"schema_version":"1.0"},"canonical_sha256":"3aba1abbda477cb4645e506216a5dc34af39f981e6094c1f1b09cf271561608e","source":{"kind":"arxiv","id":"1809.03051","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03051","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03051v1","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03051","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"pith_short_12","alias_value":"HK5BVO62I56L","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HK5BVO62I56LIZC6","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HK5BVO62","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HK5BVO62I56LIZC6KBRBNJO4GS","target":"record","payload":{"canonical_record":{"source":{"id":"1809.03051","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-09T22:33:20Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ecc5e550b689ef26b63de9d96cbdfc85bdf1d3e82d41eefda9213bef4a233f3b","abstract_canon_sha256":"30cac1fdab422aef813d5abbf3ee5af6ef0c969e04ee9a9d30430dfe4021a110"},"schema_version":"1.0"},"canonical_sha256":"3aba1abbda477cb4645e506216a5dc34af39f981e6094c1f1b09cf271561608e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:10.225194Z","signature_b64":"7m/I4BzwOJEmPl/CFQcriJ0m70veomnxMGFNn+9WbvcTeLlnRpZwjODkaCvCJbsSSu1ja10yd9M3gMa4dWVzDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3aba1abbda477cb4645e506216a5dc34af39f981e6094c1f1b09cf271561608e","last_reissued_at":"2026-05-18T00:06:10.224700Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:10.224700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.03051","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":"2026-05-18T00:06:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"79s64g40xXS1CUmeLHPg59Z5ad32Ktfbhx+RPebqGlFrPuWLRlgtIAmgUlFKi99IMhc6/31WDQ/Mw/yLcCCNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T16:45:47.498678Z"},"content_sha256":"cb5daccf2efb8a27795f34a74a58cb611d312973dd8a06eca979d22d66498051","schema_version":"1.0","event_id":"sha256:cb5daccf2efb8a27795f34a74a58cb611d312973dd8a06eca979d22d66498051"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HK5BVO62I56LIZC6KBRBNJO4GS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attentional Multi-Reading Sarcasm Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Prasad Tadepalli, Reza Ghaeini, Xiaoli Z. Fern","submitted_at":"2018-09-09T22:33:20Z","abstract_excerpt":"Recognizing sarcasm often requires a deep understanding of multiple sources of information, including the utterance, the conversational context, and real world facts. Most of the current sarcasm detection systems consider only the utterance in isolation. There are some limited attempts toward taking into account the conversational context. In this paper, we propose an interpretable end-to-end model that combines information from both the utterance and the conversational context to detect sarcasm, and demonstrate its effectiveness through empirical evaluations. We also study the behavior of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03051","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":"2026-05-18T00:06:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2dEKQYsKfNXBZjwofDEIm8LPWC/0+pfn8Oj7E3sPnC3s5FGtuv7wMToVYhJWMt2usttIkdJG3SqGHJAxIUNNAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T16:45:47.499898Z"},"content_sha256":"685445fa81daa1e0b5a23373eb0853368b50a0021a6cfbb8ca7e7b79e88ca465","schema_version":"1.0","event_id":"sha256:685445fa81daa1e0b5a23373eb0853368b50a0021a6cfbb8ca7e7b79e88ca465"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HK5BVO62I56LIZC6KBRBNJO4GS/bundle.json","state_url":"https://pith.science/pith/HK5BVO62I56LIZC6KBRBNJO4GS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HK5BVO62I56LIZC6KBRBNJO4GS/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":"2026-05-23T16:45:47Z","links":{"resolver":"https://pith.science/pith/HK5BVO62I56LIZC6KBRBNJO4GS","bundle":"https://pith.science/pith/HK5BVO62I56LIZC6KBRBNJO4GS/bundle.json","state":"https://pith.science/pith/HK5BVO62I56LIZC6KBRBNJO4GS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HK5BVO62I56LIZC6KBRBNJO4GS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HK5BVO62I56LIZC6KBRBNJO4GS","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":"30cac1fdab422aef813d5abbf3ee5af6ef0c969e04ee9a9d30430dfe4021a110","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-09T22:33:20Z","title_canon_sha256":"ecc5e550b689ef26b63de9d96cbdfc85bdf1d3e82d41eefda9213bef4a233f3b"},"schema_version":"1.0","source":{"id":"1809.03051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.03051","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"arxiv_version","alias_value":"1809.03051v1","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.03051","created_at":"2026-05-18T00:06:10Z"},{"alias_kind":"pith_short_12","alias_value":"HK5BVO62I56L","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HK5BVO62I56LIZC6","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HK5BVO62","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:685445fa81daa1e0b5a23373eb0853368b50a0021a6cfbb8ca7e7b79e88ca465","target":"graph","created_at":"2026-05-18T00:06:10Z","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"},"paper":{"abstract_excerpt":"Recognizing sarcasm often requires a deep understanding of multiple sources of information, including the utterance, the conversational context, and real world facts. Most of the current sarcasm detection systems consider only the utterance in isolation. There are some limited attempts toward taking into account the conversational context. In this paper, we propose an interpretable end-to-end model that combines information from both the utterance and the conversational context to detect sarcasm, and demonstrate its effectiveness through empirical evaluations. We also study the behavior of the","authors_text":"Prasad Tadepalli, Reza Ghaeini, Xiaoli Z. Fern","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-09T22:33:20Z","title":"Attentional Multi-Reading Sarcasm Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.03051","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:cb5daccf2efb8a27795f34a74a58cb611d312973dd8a06eca979d22d66498051","target":"record","created_at":"2026-05-18T00:06:10Z","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":"30cac1fdab422aef813d5abbf3ee5af6ef0c969e04ee9a9d30430dfe4021a110","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-09T22:33:20Z","title_canon_sha256":"ecc5e550b689ef26b63de9d96cbdfc85bdf1d3e82d41eefda9213bef4a233f3b"},"schema_version":"1.0","source":{"id":"1809.03051","kind":"arxiv","version":1}},"canonical_sha256":"3aba1abbda477cb4645e506216a5dc34af39f981e6094c1f1b09cf271561608e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3aba1abbda477cb4645e506216a5dc34af39f981e6094c1f1b09cf271561608e","first_computed_at":"2026-05-18T00:06:10.224700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:10.224700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7m/I4BzwOJEmPl/CFQcriJ0m70veomnxMGFNn+9WbvcTeLlnRpZwjODkaCvCJbsSSu1ja10yd9M3gMa4dWVzDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:10.225194Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.03051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb5daccf2efb8a27795f34a74a58cb611d312973dd8a06eca979d22d66498051","sha256:685445fa81daa1e0b5a23373eb0853368b50a0021a6cfbb8ca7e7b79e88ca465"],"state_sha256":"5587c5793b274c8b8c59f842c7355d137770f8907c2335d657a011da12b56d42"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9+ptf4c6ic0VZYB8UMjTakbF4+9/xq3HTFyWLYFBLVE8j6/LGinY5vYLalT5ZSqiOPIV6iNcZY1k+tRVtJLFBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T16:45:47.503625Z","bundle_sha256":"e6f0c0421bde3c7ff9824210b6b2fec45e1c98aefa51e92685081c86c132307e"}}