{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AV2RZZTBE3I2H5SMZ6DDCJU7GE","short_pith_number":"pith:AV2RZZTB","canonical_record":{"source":{"id":"2210.13055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T09:20:45Z","cross_cats_sorted":[],"title_canon_sha256":"3c4e0d1b4ea3b60139c85c8a4364736db8c7a3e6ca36e2943a6f74f01d51e8af","abstract_canon_sha256":"d2dfd5bcd4fabff99aa810958e56fa270c180398aa782a6a75908d7085b7d24f"},"schema_version":"1.0"},"canonical_sha256":"05751ce66126d1a3f64ccf8631269f312545969b961e05d5a5655baf6ff594dd","source":{"kind":"arxiv","id":"2210.13055","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13055","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13055v1","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13055","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"AV2RZZTBE3I2","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_16","alias_value":"AV2RZZTBE3I2H5SM","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_8","alias_value":"AV2RZZTB","created_at":"2026-07-05T05:09:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AV2RZZTBE3I2H5SMZ6DDCJU7GE","target":"record","payload":{"canonical_record":{"source":{"id":"2210.13055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T09:20:45Z","cross_cats_sorted":[],"title_canon_sha256":"3c4e0d1b4ea3b60139c85c8a4364736db8c7a3e6ca36e2943a6f74f01d51e8af","abstract_canon_sha256":"d2dfd5bcd4fabff99aa810958e56fa270c180398aa782a6a75908d7085b7d24f"},"schema_version":"1.0"},"canonical_sha256":"05751ce66126d1a3f64ccf8631269f312545969b961e05d5a5655baf6ff594dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:09:35.719812Z","signature_b64":"/nUJ1/ViSW+IMqy4jq9TjLkrQcaxuLFmLdab4EEr8+sO5hb6xr5TZzIqBn14/UuC+XRKLqlNGYnr/gbl2IaYDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05751ce66126d1a3f64ccf8631269f312545969b961e05d5a5655baf6ff594dd","last_reissued_at":"2026-07-05T05:09:35.719405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:09:35.719405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.13055","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":"2026-07-05T05:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lekxgGM/ZFkLq2e2L/YqA6tupQl+/0/nQgAFcUgws9cbXKPc2UaL+KMJ0JWBg00HjSXXNsm65TzaCIGdHfvmDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:32:07.791494Z"},"content_sha256":"7e5a5708f2d49daed844b5eec6f8c6bcb9e34aa211291df3956db9173d1fde50","schema_version":"1.0","event_id":"sha256:7e5a5708f2d49daed844b5eec6f8c6bcb9e34aa211291df3956db9173d1fde50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AV2RZZTBE3I2H5SMZ6DDCJU7GE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unified Framework for Pun Generation with Humor Principles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Divyanshu Sheth, Nanyun Peng, Yufei Tian","submitted_at":"2022-10-24T09:20:45Z","abstract_excerpt":"We propose a unified framework to generate both homophonic and homographic puns to resolve the split-up in existing works. Specifically, we incorporate three linguistic attributes of puns to the language models: ambiguity, distinctiveness, and surprise. Our framework consists of three parts: 1) a context words/phrases selector to promote the aforementioned attributes, 2) a generation model trained on non-pun sentences to incorporate the context words/phrases into the generation output, and 3) a label predictor that learns the structure of puns which is used to steer the generation model at inf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13055","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/2210.13055/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":"2026-07-05T05:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mxg92W3IVNzV+ryi9xw1x6iKyXGNyRLIzr9iL3koXT52u7Yn/s/X8tJYaXl7FKanjxNgl23Pz9/naQ3Sd+ncBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T02:32:07.791999Z"},"content_sha256":"19371ca6265d555d12dcbdfa4668f2375dc8b5e5e738b6f063600a89d61e6ba4","schema_version":"1.0","event_id":"sha256:19371ca6265d555d12dcbdfa4668f2375dc8b5e5e738b6f063600a89d61e6ba4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/bundle.json","state_url":"https://pith.science/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/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":"2026-08-05T02:32:07Z","links":{"resolver":"https://pith.science/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE","bundle":"https://pith.science/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/bundle.json","state":"https://pith.science/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AV2RZZTBE3I2H5SMZ6DDCJU7GE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AV2RZZTBE3I2H5SMZ6DDCJU7GE","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":"d2dfd5bcd4fabff99aa810958e56fa270c180398aa782a6a75908d7085b7d24f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T09:20:45Z","title_canon_sha256":"3c4e0d1b4ea3b60139c85c8a4364736db8c7a3e6ca36e2943a6f74f01d51e8af"},"schema_version":"1.0","source":{"id":"2210.13055","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.13055","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2210.13055v1","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.13055","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"AV2RZZTBE3I2","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_16","alias_value":"AV2RZZTBE3I2H5SM","created_at":"2026-07-05T05:09:35Z"},{"alias_kind":"pith_short_8","alias_value":"AV2RZZTB","created_at":"2026-07-05T05:09:35Z"}],"graph_snapshots":[{"event_id":"sha256:19371ca6265d555d12dcbdfa4668f2375dc8b5e5e738b6f063600a89d61e6ba4","target":"graph","created_at":"2026-07-05T05:09:35Z","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/2210.13055/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a unified framework to generate both homophonic and homographic puns to resolve the split-up in existing works. Specifically, we incorporate three linguistic attributes of puns to the language models: ambiguity, distinctiveness, and surprise. Our framework consists of three parts: 1) a context words/phrases selector to promote the aforementioned attributes, 2) a generation model trained on non-pun sentences to incorporate the context words/phrases into the generation output, and 3) a label predictor that learns the structure of puns which is used to steer the generation model at inf","authors_text":"Divyanshu Sheth, Nanyun Peng, Yufei Tian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T09:20:45Z","title":"A Unified Framework for Pun Generation with Humor Principles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.13055","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":"sha256:7e5a5708f2d49daed844b5eec6f8c6bcb9e34aa211291df3956db9173d1fde50","target":"record","created_at":"2026-07-05T05:09:35Z","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":"d2dfd5bcd4fabff99aa810958e56fa270c180398aa782a6a75908d7085b7d24f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-10-24T09:20:45Z","title_canon_sha256":"3c4e0d1b4ea3b60139c85c8a4364736db8c7a3e6ca36e2943a6f74f01d51e8af"},"schema_version":"1.0","source":{"id":"2210.13055","kind":"arxiv","version":1}},"canonical_sha256":"05751ce66126d1a3f64ccf8631269f312545969b961e05d5a5655baf6ff594dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05751ce66126d1a3f64ccf8631269f312545969b961e05d5a5655baf6ff594dd","first_computed_at":"2026-07-05T05:09:35.719405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:09:35.719405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/nUJ1/ViSW+IMqy4jq9TjLkrQcaxuLFmLdab4EEr8+sO5hb6xr5TZzIqBn14/UuC+XRKLqlNGYnr/gbl2IaYDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:09:35.719812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.13055","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e5a5708f2d49daed844b5eec6f8c6bcb9e34aa211291df3956db9173d1fde50","sha256:19371ca6265d555d12dcbdfa4668f2375dc8b5e5e738b6f063600a89d61e6ba4"],"state_sha256":"b0bf6cc7d975fec8d3d4ad2778c1bb2f9841a5e5c8cd880a3b051ce96506b66d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s4KN4srUMc/CuEddMa5TapXZqP/rlhFpdNYSboM2XOpi2JA0INUpDOJpUVrW1URFIQ48mZgPJOjS4g33g3mIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T02:32:07.797190Z","bundle_sha256":"bd42dfa3bec0403baa3890b4348d88a7a234edea54919de981054a6f6320c72f"}}