{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EEZHMZMGOB65XGEANGPQT5AKXG","short_pith_number":"pith:EEZHMZMG","canonical_record":{"source":{"id":"2202.07543","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-15T16:25:02Z","cross_cats_sorted":[],"title_canon_sha256":"cd71619bbf889a6dbd2e2f1c4deceb0c88666694645838b92889f004795d8486","abstract_canon_sha256":"4500c08364db928caa8f7233af88f5adadc45547c0a114657b5fbbbb3e584e88"},"schema_version":"1.0"},"canonical_sha256":"2132766586707ddb9880699f09f40ab985172203d1a71364c6f624042108210b","source":{"kind":"arxiv","id":"2202.07543","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.07543","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"2202.07543v3","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.07543","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"EEZHMZMGOB65","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_16","alias_value":"EEZHMZMGOB65XGEA","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_8","alias_value":"EEZHMZMG","created_at":"2026-07-05T04:11:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EEZHMZMGOB65XGEANGPQT5AKXG","target":"record","payload":{"canonical_record":{"source":{"id":"2202.07543","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-15T16:25:02Z","cross_cats_sorted":[],"title_canon_sha256":"cd71619bbf889a6dbd2e2f1c4deceb0c88666694645838b92889f004795d8486","abstract_canon_sha256":"4500c08364db928caa8f7233af88f5adadc45547c0a114657b5fbbbb3e584e88"},"schema_version":"1.0"},"canonical_sha256":"2132766586707ddb9880699f09f40ab985172203d1a71364c6f624042108210b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:11:11.442675Z","signature_b64":"uLmIxYeG+cK+ov3ROrfv9hCc+dah35mFEH8NnDhSfhZ5p3qJOFJTDqNp+TkRc/+io3G1GV+wRw5bLipLsLq4AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2132766586707ddb9880699f09f40ab985172203d1a71364c6f624042108210b","last_reissued_at":"2026-07-05T04:11:11.442244Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:11:11.442244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.07543","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FCtMKvUn6HQpTu7l7DFV2xqsTcqcnTHTWY8DeGYPufSnyPsosiplhzK19KX4EqCz/x03DhdPxciJlPPnqp0NBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T00:33:05.929447Z"},"content_sha256":"a3320340dccc3009e6b9ad86851cd2f97d4c5fc42d06ec820bb7dd2223cff851","schema_version":"1.0","event_id":"sha256:a3320340dccc3009e6b9ad86851cd2f97d4c5fc42d06ec820bb7dd2223cff851"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EEZHMZMGOB65XGEANGPQT5AKXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adrian Cosma, Ana-Maria Bucur, Ioan-Bogdan Iordache","submitted_at":"2022-02-15T16:25:02Z","abstract_excerpt":"Memes are prevalent on the internet and continue to grow and evolve alongside our culture. An automatic understanding of memes propagating on the internet can shed light on the general sentiment and cultural attitudes of people. In this work, we present team BLUE's solution for the second edition of the MEMOTION shared task. We showcase two approaches for meme classification (i.e. sentiment, humour, offensive, sarcasm and motivation levels) using a text-only method using BERT, and a Multi-Modal-Multi-Task transformer network that operates on both the meme image and its caption to output the fi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.07543","kind":"arxiv","version":3},"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/2202.07543/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":"2026-07-05T04:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ae6LOePI3HQHzwQVS9r3o7cw3BiIeacHU/GdF6D+HERgOWYLR8+dm8aibqVVgXJU3hPm2zdLlxy6SIZycoguDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T00:33:05.929831Z"},"content_sha256":"325612d1e994e092a62ba5c1ab8e7063f4844aedfd4c05d9eb9b0af119dbdbdb","schema_version":"1.0","event_id":"sha256:325612d1e994e092a62ba5c1ab8e7063f4844aedfd4c05d9eb9b0af119dbdbdb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EEZHMZMGOB65XGEANGPQT5AKXG/bundle.json","state_url":"https://pith.science/pith/EEZHMZMGOB65XGEANGPQT5AKXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EEZHMZMGOB65XGEANGPQT5AKXG/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":"2026-08-14T00:33:05Z","links":{"resolver":"https://pith.science/pith/EEZHMZMGOB65XGEANGPQT5AKXG","bundle":"https://pith.science/pith/EEZHMZMGOB65XGEANGPQT5AKXG/bundle.json","state":"https://pith.science/pith/EEZHMZMGOB65XGEANGPQT5AKXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EEZHMZMGOB65XGEANGPQT5AKXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EEZHMZMGOB65XGEANGPQT5AKXG","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":"4500c08364db928caa8f7233af88f5adadc45547c0a114657b5fbbbb3e584e88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-15T16:25:02Z","title_canon_sha256":"cd71619bbf889a6dbd2e2f1c4deceb0c88666694645838b92889f004795d8486"},"schema_version":"1.0","source":{"id":"2202.07543","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.07543","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"2202.07543v3","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.07543","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"EEZHMZMGOB65","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_16","alias_value":"EEZHMZMGOB65XGEA","created_at":"2026-07-05T04:11:11Z"},{"alias_kind":"pith_short_8","alias_value":"EEZHMZMG","created_at":"2026-07-05T04:11:11Z"}],"graph_snapshots":[{"event_id":"sha256:325612d1e994e092a62ba5c1ab8e7063f4844aedfd4c05d9eb9b0af119dbdbdb","target":"graph","created_at":"2026-07-05T04:11:11Z","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/2202.07543/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Memes are prevalent on the internet and continue to grow and evolve alongside our culture. An automatic understanding of memes propagating on the internet can shed light on the general sentiment and cultural attitudes of people. In this work, we present team BLUE's solution for the second edition of the MEMOTION shared task. We showcase two approaches for meme classification (i.e. sentiment, humour, offensive, sarcasm and motivation levels) using a text-only method using BERT, and a Multi-Modal-Multi-Task transformer network that operates on both the meme image and its caption to output the fi","authors_text":"Adrian Cosma, Ana-Maria Bucur, Ioan-Bogdan Iordache","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-15T16:25:02Z","title":"BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.07543","kind":"arxiv","version":3},"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:a3320340dccc3009e6b9ad86851cd2f97d4c5fc42d06ec820bb7dd2223cff851","target":"record","created_at":"2026-07-05T04:11:11Z","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":"4500c08364db928caa8f7233af88f5adadc45547c0a114657b5fbbbb3e584e88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-02-15T16:25:02Z","title_canon_sha256":"cd71619bbf889a6dbd2e2f1c4deceb0c88666694645838b92889f004795d8486"},"schema_version":"1.0","source":{"id":"2202.07543","kind":"arxiv","version":3}},"canonical_sha256":"2132766586707ddb9880699f09f40ab985172203d1a71364c6f624042108210b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2132766586707ddb9880699f09f40ab985172203d1a71364c6f624042108210b","first_computed_at":"2026-07-05T04:11:11.442244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:11:11.442244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uLmIxYeG+cK+ov3ROrfv9hCc+dah35mFEH8NnDhSfhZ5p3qJOFJTDqNp+TkRc/+io3G1GV+wRw5bLipLsLq4AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:11:11.442675Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.07543","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3320340dccc3009e6b9ad86851cd2f97d4c5fc42d06ec820bb7dd2223cff851","sha256:325612d1e994e092a62ba5c1ab8e7063f4844aedfd4c05d9eb9b0af119dbdbdb"],"state_sha256":"d9a8fdb0a38c2ba4efdea5a83c912d34cb82c88255a2f2c1ca87b9b8e81bbba0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t3COfemQdtfVBUSgl8gFNvVwZtpfVUvA6jsQzFmO8pkc1A7sZSwmX4P5zUH9Qp0iGquC9P20wpSw6/V/0ac7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T00:33:05.946761Z","bundle_sha256":"a5e822eaea2359bec5ebc62c39b7aa1f000b8e85daa9c3f7bc716f7db9963274"}}