{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TDXW245D3F2WHMC2ONAMTWRJM5","short_pith_number":"pith:TDXW245D","canonical_record":{"source":{"id":"2306.01327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T07:48:37Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"62fecb808a2b23371cb77bf82072d22883ca9e9a69d2931e17e4aa1fa803d6e4","abstract_canon_sha256":"378de6bc6bb957528692084f513e69c600b547c565c3d7d311ec16f353fa26c3"},"schema_version":"1.0"},"canonical_sha256":"98ef6d73a3d97563b05a7340c9da2967707c2b373acf163fa0a7eab4c709753e","source":{"kind":"arxiv","id":"2306.01327","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01327","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01327v1","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01327","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"TDXW245D3F2W","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_16","alias_value":"TDXW245D3F2WHMC2","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_8","alias_value":"TDXW245D","created_at":"2026-07-05T06:16:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TDXW245D3F2WHMC2ONAMTWRJM5","target":"record","payload":{"canonical_record":{"source":{"id":"2306.01327","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T07:48:37Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"62fecb808a2b23371cb77bf82072d22883ca9e9a69d2931e17e4aa1fa803d6e4","abstract_canon_sha256":"378de6bc6bb957528692084f513e69c600b547c565c3d7d311ec16f353fa26c3"},"schema_version":"1.0"},"canonical_sha256":"98ef6d73a3d97563b05a7340c9da2967707c2b373acf163fa0a7eab4c709753e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:16:52.612762Z","signature_b64":"xbhx7X/reRWqhcI7RpvFOqP80QI8XbrU+Vgjk9xqLaKzx4TQLzM/RrV/5kItbS9EgLyZ3AdQBaa1YC5R8ZapAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98ef6d73a3d97563b05a7340c9da2967707c2b373acf163fa0a7eab4c709753e","last_reissued_at":"2026-07-05T06:16:52.612428Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:16:52.612428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.01327","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":"2026-07-05T06:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"joQZCZwW1c/gzJvBsiJVfjzH3VMPPk6qPQeDENEg+LSnpauoMxieWRgDEA/WrYcGx4Us7it3luH/nI3HNJA3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T19:06:40.817974Z"},"content_sha256":"2365884b35d725db9eb97d7cf8aaf62284f0a873989fa3b692cbb675ee1e3871","schema_version":"1.0","event_id":"sha256:2365884b35d725db9eb97d7cf8aaf62284f0a873989fa3b692cbb675ee1e3871"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TDXW245D3F2WHMC2ONAMTWRJM5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Gerard I. G\\'allego, Ioannis Tsiamas, Jos\\'e A. R. Fonollosa, Marta R. Costa-juss\\`a","submitted_at":"2023-06-02T07:48:37Z","abstract_excerpt":"This paper describes the submission of the UPC Machine Translation group to the IWSLT 2023 Offline Speech Translation task. Our Speech Translation systems utilize foundation models for speech (wav2vec 2.0) and text (mBART50). We incorporate a Siamese pretraining step of the speech and text encoders with CTC and Optimal Transport, to adapt the speech representations to the space of the text model, thus maximizing transfer learning from MT. After this pretraining, we fine-tune our system end-to-end on ST, with Cross Entropy and Knowledge Distillation. Apart from the available ST corpora, we crea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01327","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/2306.01327/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":"2026-07-05T06:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJz1iEEn1erRaagSNEWeHnIg3pxKuabXzRyjx7UbfYEQQg0Vnn1JR0RwxKYw1VTQNimluhtCx3IX4juC6eBcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T19:06:40.818391Z"},"content_sha256":"eb3f5fc4de427c230c2f20bef75930ca1e96c16665fd28a3ca0f0655a14b4420","schema_version":"1.0","event_id":"sha256:eb3f5fc4de427c230c2f20bef75930ca1e96c16665fd28a3ca0f0655a14b4420"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TDXW245D3F2WHMC2ONAMTWRJM5/bundle.json","state_url":"https://pith.science/pith/TDXW245D3F2WHMC2ONAMTWRJM5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TDXW245D3F2WHMC2ONAMTWRJM5/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":"2026-07-18T19:06:40Z","links":{"resolver":"https://pith.science/pith/TDXW245D3F2WHMC2ONAMTWRJM5","bundle":"https://pith.science/pith/TDXW245D3F2WHMC2ONAMTWRJM5/bundle.json","state":"https://pith.science/pith/TDXW245D3F2WHMC2ONAMTWRJM5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TDXW245D3F2WHMC2ONAMTWRJM5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TDXW245D3F2WHMC2ONAMTWRJM5","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":"378de6bc6bb957528692084f513e69c600b547c565c3d7d311ec16f353fa26c3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T07:48:37Z","title_canon_sha256":"62fecb808a2b23371cb77bf82072d22883ca9e9a69d2931e17e4aa1fa803d6e4"},"schema_version":"1.0","source":{"id":"2306.01327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01327","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01327v1","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01327","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"TDXW245D3F2W","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_16","alias_value":"TDXW245D3F2WHMC2","created_at":"2026-07-05T06:16:52Z"},{"alias_kind":"pith_short_8","alias_value":"TDXW245D","created_at":"2026-07-05T06:16:52Z"}],"graph_snapshots":[{"event_id":"sha256:eb3f5fc4de427c230c2f20bef75930ca1e96c16665fd28a3ca0f0655a14b4420","target":"graph","created_at":"2026-07-05T06:16:52Z","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/2306.01327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper describes the submission of the UPC Machine Translation group to the IWSLT 2023 Offline Speech Translation task. Our Speech Translation systems utilize foundation models for speech (wav2vec 2.0) and text (mBART50). We incorporate a Siamese pretraining step of the speech and text encoders with CTC and Optimal Transport, to adapt the speech representations to the space of the text model, thus maximizing transfer learning from MT. After this pretraining, we fine-tune our system end-to-end on ST, with Cross Entropy and Knowledge Distillation. Apart from the available ST corpora, we crea","authors_text":"Gerard I. G\\'allego, Ioannis Tsiamas, Jos\\'e A. R. Fonollosa, Marta R. Costa-juss\\`a","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T07:48:37Z","title":"Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01327","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":"sha256:2365884b35d725db9eb97d7cf8aaf62284f0a873989fa3b692cbb675ee1e3871","target":"record","created_at":"2026-07-05T06:16:52Z","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":"378de6bc6bb957528692084f513e69c600b547c565c3d7d311ec16f353fa26c3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-06-02T07:48:37Z","title_canon_sha256":"62fecb808a2b23371cb77bf82072d22883ca9e9a69d2931e17e4aa1fa803d6e4"},"schema_version":"1.0","source":{"id":"2306.01327","kind":"arxiv","version":1}},"canonical_sha256":"98ef6d73a3d97563b05a7340c9da2967707c2b373acf163fa0a7eab4c709753e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98ef6d73a3d97563b05a7340c9da2967707c2b373acf163fa0a7eab4c709753e","first_computed_at":"2026-07-05T06:16:52.612428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:16:52.612428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xbhx7X/reRWqhcI7RpvFOqP80QI8XbrU+Vgjk9xqLaKzx4TQLzM/RrV/5kItbS9EgLyZ3AdQBaa1YC5R8ZapAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:16:52.612762Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2365884b35d725db9eb97d7cf8aaf62284f0a873989fa3b692cbb675ee1e3871","sha256:eb3f5fc4de427c230c2f20bef75930ca1e96c16665fd28a3ca0f0655a14b4420"],"state_sha256":"ee92fe1f27b98c3a6c95274541f89701264228f23e96f0804c2ce15645c3d80e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e6+Gaf+8vYP6295Tvc+g9O0Er8ePjYATVjGGN1FivQQql7sIi5obuEQPMZnmL/Tf8cFLwUQvgki7ZVSlPadoDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T19:06:40.820463Z","bundle_sha256":"3565dfc9be15dbb76529aa307d448fd3844ad74f664a03e85208ac6ffc3031a1"}}