{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VW75Q3V45IAVZXXMCZFBYV66UW","short_pith_number":"pith:VW75Q3V4","canonical_record":{"source":{"id":"2410.14506","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T14:38:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d662f4fcfb8f59c3cf5e4f838554752f0c62b29705a81539defb8e578763695d","abstract_canon_sha256":"e074c56d2e18d2ecc43aa4982408cd2167f91fb3f95cfdd6e0970a84a3de0829"},"schema_version":"1.0"},"canonical_sha256":"adbfd86ebcea015cdeec164a1c57dea5bfdbafa39b45efe7fa7f4b62eecf8c3a","source":{"kind":"arxiv","id":"2410.14506","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14506","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14506v1","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14506","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"VW75Q3V45IAV","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"VW75Q3V45IAVZXXM","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"VW75Q3V4","created_at":"2026-07-05T09:22:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VW75Q3V45IAVZXXMCZFBYV66UW","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14506","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T14:38:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d662f4fcfb8f59c3cf5e4f838554752f0c62b29705a81539defb8e578763695d","abstract_canon_sha256":"e074c56d2e18d2ecc43aa4982408cd2167f91fb3f95cfdd6e0970a84a3de0829"},"schema_version":"1.0"},"canonical_sha256":"adbfd86ebcea015cdeec164a1c57dea5bfdbafa39b45efe7fa7f4b62eecf8c3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:33.288545Z","signature_b64":"YVB2llBCh5G8sr1rPwsdKw3Q8BZA3UhK80PZpMU0HrqANpDWCTyL7mwZGturidubxG/MeKwbfP6EPkRldaOeAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"adbfd86ebcea015cdeec164a1c57dea5bfdbafa39b45efe7fa7f4b62eecf8c3a","last_reissued_at":"2026-07-05T09:22:33.288078Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:33.288078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14506","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":"2026-07-05T09:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kISabXnj2nn3weY8nDO68iS0Cu3VFIsw/2AIBtnD0KQsdYE640WsmAlDl4J+1ZR1bcugoV+XREjMTGpMFKE2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:40:46.193015Z"},"content_sha256":"1923381f401eb6ec66d8dffb56c8d41ad8f70ba33fc74ad4f822a313de881370","schema_version":"1.0","event_id":"sha256:1923381f401eb6ec66d8dffb56c8d41ad8f70ba33fc74ad4f822a313de881370"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VW75Q3V45IAVZXXMCZFBYV66UW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SignAttention: On the Interpretability of Transformer Models for Sign Language Translation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Enzo Ferrante, Facundo Manuel Quiroga, Franco Ronchetti, Oscar Agust\\'in Stanchi, Pedro Alejandro Dal Bianco","submitted_at":"2024-10-18T14:38:37Z","abstract_excerpt":"This paper presents the first comprehensive interpretability analysis of a Transformer-based Sign Language Translation (SLT) model, focusing on the translation from video-based Greek Sign Language to glosses and text. Leveraging the Greek Sign Language Dataset, we examine the attention mechanisms within the model to understand how it processes and aligns visual input with sequential glosses. Our analysis reveals that the model pays attention to clusters of frames rather than individual ones, with a diagonal alignment pattern emerging between poses and glosses, which becomes less distinct as th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14506","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/2410.14506/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":"2026-07-05T09:22:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"An5IZQr7nVZf2JGbJf5F1jJkScO2sotNNJRR56GDEEtktgOyCdnBi17aQ9ycFOrILsJa6ay0mTa82aQHqEjhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T04:40:46.193715Z"},"content_sha256":"dd8a558e08e93dddc4bc71e0bb93735fcdafbdf96688393c65d0da6012b98f58","schema_version":"1.0","event_id":"sha256:dd8a558e08e93dddc4bc71e0bb93735fcdafbdf96688393c65d0da6012b98f58"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VW75Q3V45IAVZXXMCZFBYV66UW/bundle.json","state_url":"https://pith.science/pith/VW75Q3V45IAVZXXMCZFBYV66UW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VW75Q3V45IAVZXXMCZFBYV66UW/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":"2026-08-17T04:40:46Z","links":{"resolver":"https://pith.science/pith/VW75Q3V45IAVZXXMCZFBYV66UW","bundle":"https://pith.science/pith/VW75Q3V45IAVZXXMCZFBYV66UW/bundle.json","state":"https://pith.science/pith/VW75Q3V45IAVZXXMCZFBYV66UW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VW75Q3V45IAVZXXMCZFBYV66UW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VW75Q3V45IAVZXXMCZFBYV66UW","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":"e074c56d2e18d2ecc43aa4982408cd2167f91fb3f95cfdd6e0970a84a3de0829","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T14:38:37Z","title_canon_sha256":"d662f4fcfb8f59c3cf5e4f838554752f0c62b29705a81539defb8e578763695d"},"schema_version":"1.0","source":{"id":"2410.14506","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14506","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14506v1","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14506","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_12","alias_value":"VW75Q3V45IAV","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_16","alias_value":"VW75Q3V45IAVZXXM","created_at":"2026-07-05T09:22:33Z"},{"alias_kind":"pith_short_8","alias_value":"VW75Q3V4","created_at":"2026-07-05T09:22:33Z"}],"graph_snapshots":[{"event_id":"sha256:dd8a558e08e93dddc4bc71e0bb93735fcdafbdf96688393c65d0da6012b98f58","target":"graph","created_at":"2026-07-05T09:22:33Z","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/2410.14506/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the first comprehensive interpretability analysis of a Transformer-based Sign Language Translation (SLT) model, focusing on the translation from video-based Greek Sign Language to glosses and text. Leveraging the Greek Sign Language Dataset, we examine the attention mechanisms within the model to understand how it processes and aligns visual input with sequential glosses. Our analysis reveals that the model pays attention to clusters of frames rather than individual ones, with a diagonal alignment pattern emerging between poses and glosses, which becomes less distinct as th","authors_text":"Enzo Ferrante, Facundo Manuel Quiroga, Franco Ronchetti, Oscar Agust\\'in Stanchi, Pedro Alejandro Dal Bianco","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T14:38:37Z","title":"SignAttention: On the Interpretability of Transformer Models for Sign Language Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14506","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":"sha256:1923381f401eb6ec66d8dffb56c8d41ad8f70ba33fc74ad4f822a313de881370","target":"record","created_at":"2026-07-05T09:22:33Z","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":"e074c56d2e18d2ecc43aa4982408cd2167f91fb3f95cfdd6e0970a84a3de0829","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T14:38:37Z","title_canon_sha256":"d662f4fcfb8f59c3cf5e4f838554752f0c62b29705a81539defb8e578763695d"},"schema_version":"1.0","source":{"id":"2410.14506","kind":"arxiv","version":1}},"canonical_sha256":"adbfd86ebcea015cdeec164a1c57dea5bfdbafa39b45efe7fa7f4b62eecf8c3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"adbfd86ebcea015cdeec164a1c57dea5bfdbafa39b45efe7fa7f4b62eecf8c3a","first_computed_at":"2026-07-05T09:22:33.288078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:33.288078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YVB2llBCh5G8sr1rPwsdKw3Q8BZA3UhK80PZpMU0HrqANpDWCTyL7mwZGturidubxG/MeKwbfP6EPkRldaOeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:33.288545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14506","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1923381f401eb6ec66d8dffb56c8d41ad8f70ba33fc74ad4f822a313de881370","sha256:dd8a558e08e93dddc4bc71e0bb93735fcdafbdf96688393c65d0da6012b98f58"],"state_sha256":"90712816653a0f5f1b721cc3b372cc70e58159e78f43a1f15500c11e644ea620"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ShZoWaTfN4Gg+ie5kH+ge+lfhvNtiE5LHuHo7GBVLUkkxbSHbC2j+ZPGV4xjTm+p8tv03nj1gByuNdQcwUdXAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T04:40:46.199022Z","bundle_sha256":"0650c01b0df8d3464714a523d98a57e6d0584f9192e13dd52948ef5689005639"}}