{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:J5IBDZGCPBGZYL6ISS6RCCZYLZ","short_pith_number":"pith:J5IBDZGC","canonical_record":{"source":{"id":"2409.13592","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T15:45:29Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"09872ca5949334e7a5ed2c5b0eba92f89027282b46c5288e1f02900d8c571df3","abstract_canon_sha256":"278f9b765f26845cd6aebc907737b88ba752d4c5033f45035f02266c23e3a7df"},"schema_version":"1.0"},"canonical_sha256":"4f5011e4c2784d9c2fc894bd110b385e656b923152148436e641add76640d55b","source":{"kind":"arxiv","id":"2409.13592","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13592","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13592v1","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13592","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"J5IBDZGCPBGZ","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_16","alias_value":"J5IBDZGCPBGZYL6I","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_8","alias_value":"J5IBDZGC","created_at":"2026-07-05T09:09:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:J5IBDZGCPBGZYL6ISS6RCCZYLZ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.13592","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T15:45:29Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"09872ca5949334e7a5ed2c5b0eba92f89027282b46c5288e1f02900d8c571df3","abstract_canon_sha256":"278f9b765f26845cd6aebc907737b88ba752d4c5033f45035f02266c23e3a7df"},"schema_version":"1.0"},"canonical_sha256":"4f5011e4c2784d9c2fc894bd110b385e656b923152148436e641add76640d55b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:38.388233Z","signature_b64":"nM0Cuiee0G7o+Iz8Ur0JFzs7psjhgWxTNp6Pk4lvIYECR37VHNIyq2/Jdg5Y5QAyBgA8XpGZR4yXJ5hb3djkCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f5011e4c2784d9c2fc894bd110b385e656b923152148436e641add76640d55b","last_reissued_at":"2026-07-05T09:09:38.387720Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:38.387720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.13592","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":"2026-07-05T09:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ppsqfIvC11NIyPhZFR5W3BCVBrR+ACdisbQNK1jRM2LgAVJNFK3VGPyPHpovJ9yvj0AVEgqIDSyfoZgT7naCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:03:42.672989Z"},"content_sha256":"852aae25ea598dbd39b19186d64c73f323d48db1db9676c033fbba30c69ce696","schema_version":"1.0","event_id":"sha256:852aae25ea598dbd39b19186d64c73f323d48db1db9676c033fbba30c69ce696"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:J5IBDZGCPBGZYL6ISS6RCCZYLZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Abhilash Nandy, Aman Bansal, Ankit Raj, Ashish Patwa, Millon Madhur Das, Niloy Ganguly, Pawan Goyal, Yash Agarwal","submitted_at":"2024-09-20T15:45:29Z","abstract_excerpt":"Understanding satire and humor is a challenging task for even current Vision-Language models. In this paper, we propose the challenging tasks of Satirical Image Detection (detecting whether an image is satirical), Understanding (generating the reason behind the image being satirical), and Completion (given one half of the image, selecting the other half from 2 given options, such that the complete image is satirical) and release a high-quality dataset YesBut, consisting of 2547 images, 1084 satirical and 1463 non-satirical, containing different artistic styles, to evaluate those tasks. Each sa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13592","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/2409.13592/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":"2026-07-05T09:09:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQlwKIDJ/ymXabQR+jhMGjq/5vAtmnezuGo7Tn1BAgiX3O19/RFbXJcNhelbC6jzxaIpMseifipSJ4uB21NBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:03:42.673554Z"},"content_sha256":"8a0f0728bf3303eacc73a8bc2126d8d60041496d3dc081419a731f1082625f35","schema_version":"1.0","event_id":"sha256:8a0f0728bf3303eacc73a8bc2126d8d60041496d3dc081419a731f1082625f35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/bundle.json","state_url":"https://pith.science/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/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":"2026-08-09T17:03:42Z","links":{"resolver":"https://pith.science/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ","bundle":"https://pith.science/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/bundle.json","state":"https://pith.science/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J5IBDZGCPBGZYL6ISS6RCCZYLZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J5IBDZGCPBGZYL6ISS6RCCZYLZ","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":"278f9b765f26845cd6aebc907737b88ba752d4c5033f45035f02266c23e3a7df","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T15:45:29Z","title_canon_sha256":"09872ca5949334e7a5ed2c5b0eba92f89027282b46c5288e1f02900d8c571df3"},"schema_version":"1.0","source":{"id":"2409.13592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.13592","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"arxiv_version","alias_value":"2409.13592v1","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.13592","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_12","alias_value":"J5IBDZGCPBGZ","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_16","alias_value":"J5IBDZGCPBGZYL6I","created_at":"2026-07-05T09:09:38Z"},{"alias_kind":"pith_short_8","alias_value":"J5IBDZGC","created_at":"2026-07-05T09:09:38Z"}],"graph_snapshots":[{"event_id":"sha256:8a0f0728bf3303eacc73a8bc2126d8d60041496d3dc081419a731f1082625f35","target":"graph","created_at":"2026-07-05T09:09:38Z","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/2409.13592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding satire and humor is a challenging task for even current Vision-Language models. In this paper, we propose the challenging tasks of Satirical Image Detection (detecting whether an image is satirical), Understanding (generating the reason behind the image being satirical), and Completion (given one half of the image, selecting the other half from 2 given options, such that the complete image is satirical) and release a high-quality dataset YesBut, consisting of 2547 images, 1084 satirical and 1463 non-satirical, containing different artistic styles, to evaluate those tasks. Each sa","authors_text":"Abhilash Nandy, Aman Bansal, Ankit Raj, Ashish Patwa, Millon Madhur Das, Niloy Ganguly, Pawan Goyal, Yash Agarwal","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T15:45:29Z","title":"YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.13592","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":"sha256:852aae25ea598dbd39b19186d64c73f323d48db1db9676c033fbba30c69ce696","target":"record","created_at":"2026-07-05T09:09:38Z","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":"278f9b765f26845cd6aebc907737b88ba752d4c5033f45035f02266c23e3a7df","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-20T15:45:29Z","title_canon_sha256":"09872ca5949334e7a5ed2c5b0eba92f89027282b46c5288e1f02900d8c571df3"},"schema_version":"1.0","source":{"id":"2409.13592","kind":"arxiv","version":1}},"canonical_sha256":"4f5011e4c2784d9c2fc894bd110b385e656b923152148436e641add76640d55b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f5011e4c2784d9c2fc894bd110b385e656b923152148436e641add76640d55b","first_computed_at":"2026-07-05T09:09:38.387720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:38.387720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nM0Cuiee0G7o+Iz8Ur0JFzs7psjhgWxTNp6Pk4lvIYECR37VHNIyq2/Jdg5Y5QAyBgA8XpGZR4yXJ5hb3djkCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:38.388233Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.13592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:852aae25ea598dbd39b19186d64c73f323d48db1db9676c033fbba30c69ce696","sha256:8a0f0728bf3303eacc73a8bc2126d8d60041496d3dc081419a731f1082625f35"],"state_sha256":"f170ae77bf10c0dd152533b182b6a1249b26a0f5538b4752df83ab6a5236c39c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yWs1Hu7HaF9lgpaXonORmWf/aHCJt8Us+pVRT9rx49+w4DNZW8nWygPpL5gA3mvc9sfzaExjwqU94ffjyx59Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:03:42.678839Z","bundle_sha256":"3a6d08df3424e2ab5f8e1ba90eab647d208e5348676a9cd65d0be6ea26c5b93d"}}