{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:UR5MSDZBP6WUX6Y3LHZCPBJLYF","short_pith_number":"pith:UR5MSDZB","canonical_record":{"source":{"id":"1612.03216","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-09T23:28:16Z","cross_cats_sorted":[],"title_canon_sha256":"32dba3462d140310891e90887309556b62864e8d28076457ce3a6bcee14948dd","abstract_canon_sha256":"07cb8405d1cd0f66e4cae6116712c5196162700a944cf174d12e33d230245168"},"schema_version":"1.0"},"canonical_sha256":"a47ac90f217fad4bfb1b59f227852bc145be829fdb937183962634ca6ae7028f","source":{"kind":"arxiv","id":"1612.03216","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.03216","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"1612.03216v2","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.03216","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"UR5MSDZBP6WU","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UR5MSDZBP6WUX6Y3","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UR5MSDZB","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:UR5MSDZBP6WUX6Y3LHZCPBJLYF","target":"record","payload":{"canonical_record":{"source":{"id":"1612.03216","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-09T23:28:16Z","cross_cats_sorted":[],"title_canon_sha256":"32dba3462d140310891e90887309556b62864e8d28076457ce3a6bcee14948dd","abstract_canon_sha256":"07cb8405d1cd0f66e4cae6116712c5196162700a944cf174d12e33d230245168"},"schema_version":"1.0"},"canonical_sha256":"a47ac90f217fad4bfb1b59f227852bc145be829fdb937183962634ca6ae7028f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:18.731493Z","signature_b64":"rA36gklWThI2AwoqnUgIzwKO8R6PaL761zH5jtQ8QBlUCtr/WXPb+Jgg58VkuWdQSy6pIwiRy3WxHcgHYX7ADw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a47ac90f217fad4bfb1b59f227852bc145be829fdb937183962634ca6ae7028f","last_reissued_at":"2026-05-18T00:46:18.730866Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:18.730866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.03216","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":"2026-05-18T00:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r0d1gebO57T71p8y9LtJoUZTtVCyesz8FWha4vdvCUfZCEX8V0TiGCvt4U6MU/RzLU8rR9TWoLJHxUSKz5YEDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:00:21.816083Z"},"content_sha256":"59512821991c1ba83893f1b4af643fbc99a6af0e73662ff54c77c5b025ae09b8","schema_version":"1.0","event_id":"sha256:59512821991c1ba83893f1b4af643fbc99a6af0e73662ff54c77c5b025ae09b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:UR5MSDZBP6WUX6Y3LHZCPBJLYF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"#HashtagWars: Learning a Sense of Humor","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexey Romanov, Anna Rumshisky, Peter Potash","submitted_at":"2016-12-09T23:28:16Z","abstract_excerpt":"In this work, we present a new dataset for computational humor, specifically comparative humor ranking, which attempts to eschew the ubiquitous binary approach to humor detection. The dataset consists of tweets that are humorous responses to a given hashtag. We describe the motivation for this new dataset, as well as the collection process, which includes a description of our semi-automated system for data collection. We also present initial experiments for this dataset using both unsupervised and supervised approaches. Our best supervised system achieved 63.7% accuracy, suggesting that this t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.03216","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":""},"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":"2026-05-18T00:46:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+CG6JVpYs2K2KJqjX6SC97C2TvisCePWGjB15O3EUjEgVDYsHUfMzS2IdU9sM3mQVanxzToUFQoVNudifExnBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:00:21.816434Z"},"content_sha256":"ec36b4a9f49748be48797aff3d40402b01486efe98b9a080d28ec6cd5f815a08","schema_version":"1.0","event_id":"sha256:ec36b4a9f49748be48797aff3d40402b01486efe98b9a080d28ec6cd5f815a08"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/bundle.json","state_url":"https://pith.science/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/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":"2026-06-01T11:00:21Z","links":{"resolver":"https://pith.science/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF","bundle":"https://pith.science/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/bundle.json","state":"https://pith.science/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UR5MSDZBP6WUX6Y3LHZCPBJLYF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:UR5MSDZBP6WUX6Y3LHZCPBJLYF","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":"07cb8405d1cd0f66e4cae6116712c5196162700a944cf174d12e33d230245168","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-09T23:28:16Z","title_canon_sha256":"32dba3462d140310891e90887309556b62864e8d28076457ce3a6bcee14948dd"},"schema_version":"1.0","source":{"id":"1612.03216","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.03216","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"arxiv_version","alias_value":"1612.03216v2","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.03216","created_at":"2026-05-18T00:46:18Z"},{"alias_kind":"pith_short_12","alias_value":"UR5MSDZBP6WU","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"UR5MSDZBP6WUX6Y3","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"UR5MSDZB","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:ec36b4a9f49748be48797aff3d40402b01486efe98b9a080d28ec6cd5f815a08","target":"graph","created_at":"2026-05-18T00:46:18Z","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":"In this work, we present a new dataset for computational humor, specifically comparative humor ranking, which attempts to eschew the ubiquitous binary approach to humor detection. The dataset consists of tweets that are humorous responses to a given hashtag. We describe the motivation for this new dataset, as well as the collection process, which includes a description of our semi-automated system for data collection. We also present initial experiments for this dataset using both unsupervised and supervised approaches. Our best supervised system achieved 63.7% accuracy, suggesting that this t","authors_text":"Alexey Romanov, Anna Rumshisky, Peter Potash","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-09T23:28:16Z","title":"#HashtagWars: Learning a Sense of Humor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.03216","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":"sha256:59512821991c1ba83893f1b4af643fbc99a6af0e73662ff54c77c5b025ae09b8","target":"record","created_at":"2026-05-18T00:46:18Z","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":"07cb8405d1cd0f66e4cae6116712c5196162700a944cf174d12e33d230245168","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-12-09T23:28:16Z","title_canon_sha256":"32dba3462d140310891e90887309556b62864e8d28076457ce3a6bcee14948dd"},"schema_version":"1.0","source":{"id":"1612.03216","kind":"arxiv","version":2}},"canonical_sha256":"a47ac90f217fad4bfb1b59f227852bc145be829fdb937183962634ca6ae7028f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a47ac90f217fad4bfb1b59f227852bc145be829fdb937183962634ca6ae7028f","first_computed_at":"2026-05-18T00:46:18.730866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:18.730866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rA36gklWThI2AwoqnUgIzwKO8R6PaL761zH5jtQ8QBlUCtr/WXPb+Jgg58VkuWdQSy6pIwiRy3WxHcgHYX7ADw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:18.731493Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.03216","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59512821991c1ba83893f1b4af643fbc99a6af0e73662ff54c77c5b025ae09b8","sha256:ec36b4a9f49748be48797aff3d40402b01486efe98b9a080d28ec6cd5f815a08"],"state_sha256":"433879e676496bc4cf7750dfc668ef6f51a3b92fca36125e1e84ce997ec58a1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9LmpLuMPWpOaWtIsSH7/Ha11aClMDzUG8ajZhzRQdvCuRgPoWC/xJIF5Xm+vf7LSSWgpq9syzYR4X3DWuz98Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:00:21.818422Z","bundle_sha256":"d2b67f3d63115ebea680be4e336f7ab6a86e5ed1ca20b76311a4267016d64418"}}