{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7576W6DKNBCET36YUC5FRVDKRG","short_pith_number":"pith:7576W6DK","canonical_record":{"source":{"id":"2603.28103","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-03-30T07:06:49Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"1fca9ebc3099cb1f9aeaaf27f6439048b4eace72ee81be285d036124aceadabc","abstract_canon_sha256":"5b62a6adc17815fe75f445460900703e7cf455730cef93b876ce2098bd7952d6"},"schema_version":"1.0"},"canonical_sha256":"ff7feb786a684449efd8a0ba58d46a89848528f3c08fc93c8d8885ae928afcba","source":{"kind":"arxiv","id":"2603.28103","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.28103","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"arxiv_version","alias_value":"2603.28103v2","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.28103","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_12","alias_value":"7576W6DKNBCE","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_16","alias_value":"7576W6DKNBCET36Y","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_8","alias_value":"7576W6DK","created_at":"2026-05-21T01:05:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7576W6DKNBCET36YUC5FRVDKRG","target":"record","payload":{"canonical_record":{"source":{"id":"2603.28103","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-03-30T07:06:49Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"1fca9ebc3099cb1f9aeaaf27f6439048b4eace72ee81be285d036124aceadabc","abstract_canon_sha256":"5b62a6adc17815fe75f445460900703e7cf455730cef93b876ce2098bd7952d6"},"schema_version":"1.0"},"canonical_sha256":"ff7feb786a684449efd8a0ba58d46a89848528f3c08fc93c8d8885ae928afcba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:05:18.458976Z","signature_b64":"qBp4d6Zyq6toiTZo3nooJFN4uoi9xuCc0lwWFhOPDlSagwLqcPxUoe0d5zwpfJqjAjF2B/EB80q7NXJ+95akCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff7feb786a684449efd8a0ba58d46a89848528f3c08fc93c8d8885ae928afcba","last_reissued_at":"2026-05-21T01:05:18.458242Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:05:18.458242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.28103","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T01:05:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AEk1LxWq8bF01HNh2593kr8u9OzvYO50IknNAUAvH0+lrGFGr6AWvvcaJ1ObYiGOC/F+VZj6E6s/2uIUDQXuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T04:52:59.724334Z"},"content_sha256":"6d0e02b1c313b3dffc211ba34d4e7a11b2a514e4b0c774ec31d7458bb490ff90","schema_version":"1.0","event_id":"sha256:6d0e02b1c313b3dffc211ba34d4e7a11b2a514e4b0c774ec31d7458bb490ff90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7576W6DKNBCET36YUC5FRVDKRG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transcription and Recognition of Italian Parliamentary Speeches Using Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.DL","authors_text":"Alfio Ferrara, Giovanni Pagano, Luigi Curini, Sergio Picascia","submitted_at":"2026-03-30T07:06:49Z","abstract_excerpt":"Parliamentary proceedings represent a rich yet challenging resource for computational analysis, particularly when preserved only as scanned historical documents. Existing efforts to transcribe Italian parliamentary speeches have relied on traditional Optical Character Recognition pipelines, resulting in transcription errors and limited semantic annotation. In this paper, we propose a pipeline based on Vision-Language Models for the automatic transcription, semantic segmentation, and entity linking of Italian parliamentary speeches. The pipeline employs a specialised OCR model to extract text w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.28103","kind":"arxiv","version":2},"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/2603.28103/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":"2026-05-21T01:05:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RSfIDnt4XbHBXZupsqYZv8SVf9f8i/cA/GIz1oIM0sj6eE09hkzafs/XFbDpCwUJsC/JZXOgGVf35s3QPU1HCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T04:52:59.724735Z"},"content_sha256":"693662809e7170b85b93dd15bfbd13488b4214e473dced4b88c74df312030467","schema_version":"1.0","event_id":"sha256:693662809e7170b85b93dd15bfbd13488b4214e473dced4b88c74df312030467"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7576W6DKNBCET36YUC5FRVDKRG/bundle.json","state_url":"https://pith.science/pith/7576W6DKNBCET36YUC5FRVDKRG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7576W6DKNBCET36YUC5FRVDKRG/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":"2026-05-26T04:52:59Z","links":{"resolver":"https://pith.science/pith/7576W6DKNBCET36YUC5FRVDKRG","bundle":"https://pith.science/pith/7576W6DKNBCET36YUC5FRVDKRG/bundle.json","state":"https://pith.science/pith/7576W6DKNBCET36YUC5FRVDKRG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7576W6DKNBCET36YUC5FRVDKRG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7576W6DKNBCET36YUC5FRVDKRG","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":"5b62a6adc17815fe75f445460900703e7cf455730cef93b876ce2098bd7952d6","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-03-30T07:06:49Z","title_canon_sha256":"1fca9ebc3099cb1f9aeaaf27f6439048b4eace72ee81be285d036124aceadabc"},"schema_version":"1.0","source":{"id":"2603.28103","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.28103","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"arxiv_version","alias_value":"2603.28103v2","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.28103","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_12","alias_value":"7576W6DKNBCE","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_16","alias_value":"7576W6DKNBCET36Y","created_at":"2026-05-21T01:05:18Z"},{"alias_kind":"pith_short_8","alias_value":"7576W6DK","created_at":"2026-05-21T01:05:18Z"}],"graph_snapshots":[{"event_id":"sha256:693662809e7170b85b93dd15bfbd13488b4214e473dced4b88c74df312030467","target":"graph","created_at":"2026-05-21T01:05:18Z","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/2603.28103/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parliamentary proceedings represent a rich yet challenging resource for computational analysis, particularly when preserved only as scanned historical documents. Existing efforts to transcribe Italian parliamentary speeches have relied on traditional Optical Character Recognition pipelines, resulting in transcription errors and limited semantic annotation. In this paper, we propose a pipeline based on Vision-Language Models for the automatic transcription, semantic segmentation, and entity linking of Italian parliamentary speeches. The pipeline employs a specialised OCR model to extract text w","authors_text":"Alfio Ferrara, Giovanni Pagano, Luigi Curini, Sergio Picascia","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-03-30T07:06:49Z","title":"Transcription and Recognition of Italian Parliamentary Speeches Using Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.28103","kind":"arxiv","version":2},"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":"sha256:6d0e02b1c313b3dffc211ba34d4e7a11b2a514e4b0c774ec31d7458bb490ff90","target":"record","created_at":"2026-05-21T01:05:18Z","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":"5b62a6adc17815fe75f445460900703e7cf455730cef93b876ce2098bd7952d6","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2026-03-30T07:06:49Z","title_canon_sha256":"1fca9ebc3099cb1f9aeaaf27f6439048b4eace72ee81be285d036124aceadabc"},"schema_version":"1.0","source":{"id":"2603.28103","kind":"arxiv","version":2}},"canonical_sha256":"ff7feb786a684449efd8a0ba58d46a89848528f3c08fc93c8d8885ae928afcba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff7feb786a684449efd8a0ba58d46a89848528f3c08fc93c8d8885ae928afcba","first_computed_at":"2026-05-21T01:05:18.458242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:05:18.458242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qBp4d6Zyq6toiTZo3nooJFN4uoi9xuCc0lwWFhOPDlSagwLqcPxUoe0d5zwpfJqjAjF2B/EB80q7NXJ+95akCA==","signature_status":"signed_v1","signed_at":"2026-05-21T01:05:18.458976Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.28103","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d0e02b1c313b3dffc211ba34d4e7a11b2a514e4b0c774ec31d7458bb490ff90","sha256:693662809e7170b85b93dd15bfbd13488b4214e473dced4b88c74df312030467"],"state_sha256":"3e1e174467733d1ec982ce9d730d5a74801a47aad22d5cf0f1935d4a4c9e5a71"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dofnF51vKvVsrgA8svnCDIxVvMZWJsjpespRzfBrQP1zMvu61D3n0XZTVMNadSpRNUAwj72DoBiEm6PMriwADw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T04:52:59.727189Z","bundle_sha256":"510c2e83d98c7fcd27e1ae0d44c8119075e66f1dfd18bb6483a2a73546b9cc50"}}