{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6M6QER5QNZAYIFAMWRZW4EQIRG","short_pith_number":"pith:6M6QER5Q","canonical_record":{"source":{"id":"2605.26601","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T06:36:27Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"339123d37e2d17e1b6f612deed0d1ac9878c67159ffbbb79c99df0a066137e83","abstract_canon_sha256":"152fb40a5c1209e95852eef11d14ceca2ce2c185014e914fd84c4afa69015339"},"schema_version":"1.0"},"canonical_sha256":"f33d0247b06e4184140cb4736e120889854b8c22b4f746c539ece111fac4316f","source":{"kind":"arxiv","id":"2605.26601","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26601","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26601v1","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26601","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_12","alias_value":"6M6QER5QNZAY","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_16","alias_value":"6M6QER5QNZAYIFAM","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_8","alias_value":"6M6QER5Q","created_at":"2026-05-27T01:06:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6M6QER5QNZAYIFAMWRZW4EQIRG","target":"record","payload":{"canonical_record":{"source":{"id":"2605.26601","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T06:36:27Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"339123d37e2d17e1b6f612deed0d1ac9878c67159ffbbb79c99df0a066137e83","abstract_canon_sha256":"152fb40a5c1209e95852eef11d14ceca2ce2c185014e914fd84c4afa69015339"},"schema_version":"1.0"},"canonical_sha256":"f33d0247b06e4184140cb4736e120889854b8c22b4f746c539ece111fac4316f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:06:01.535217Z","signature_b64":"vc/pfzoRgY6c8g5InZiq+RjtckZe2Yg/2noaRo2Ujz4eaRpkFrrO7oySqSn8ZzjSPxUqvfVSdWklcTd5fAwtAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f33d0247b06e4184140cb4736e120889854b8c22b4f746c539ece111fac4316f","last_reissued_at":"2026-05-27T01:06:01.534298Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:06:01.534298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.26601","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":"2026-05-27T01:06:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pAy9jGql3FHKSoy2aFVGrofW0L8lbZUWAMc5dkBQlAljN+EZzuv2b3WF4ana16ODAvlFddE1Y6K3qK6/xo+7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:13:40.096253Z"},"content_sha256":"7c164993368fc0bd8827e5712d0e8ee1ea2d3f8c0116cc7f7febbb9d65922816","schema_version":"1.0","event_id":"sha256:7c164993368fc0bd8827e5712d0e8ee1ea2d3f8c0116cc7f7febbb9d65922816"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6M6QER5QNZAYIFAMWRZW4EQIRG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.CV","authors_text":"Guixian Xu, Ting Zhang, Xuexian Song, Xu Han, Yide Liang, Yushuang Dong, Zeli Su, Ziyin Zhang","submitted_at":"2026-05-26T06:36:27Z","abstract_excerpt":"Vision-language models have progressed rapidly, but Tibetan remains a severely underserved low-resource language due to the lack of reproducible training and evaluation infrastructure. To fill this gap, we introduce FTibSuite, a comprehensive resource suite for Tibetan vision-language research, consisting of FTibData (human-verified multimodal training corpora spanning continual pretraining, image-text alignment, and instruction tuning data), FTibBench (Tibetan adaptations of five mainstream multimodal benchmarks with a hierarchical quality-control workflow to reduce translation noise), and FT"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26601","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/2605.26601/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":"2026-05-27T01:06:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uR8w6gAk/4Q5RRbQTt1HBgmUTTyhGNpn9fxYDFUcNliubjv3w0cy1foRUIT4gzhPWh4aMvbq7Gom/yzSeXYwAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:13:40.096655Z"},"content_sha256":"70f42a34cb710153a4ccb495b2653b2649e7b4fd02aa78c1fe78b9c7eb3a4c98","schema_version":"1.0","event_id":"sha256:70f42a34cb710153a4ccb495b2653b2649e7b4fd02aa78c1fe78b9c7eb3a4c98"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/bundle.json","state_url":"https://pith.science/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/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":"2026-05-28T12:13:40Z","links":{"resolver":"https://pith.science/pith/6M6QER5QNZAYIFAMWRZW4EQIRG","bundle":"https://pith.science/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/bundle.json","state":"https://pith.science/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6M6QER5QNZAYIFAMWRZW4EQIRG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6M6QER5QNZAYIFAMWRZW4EQIRG","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":"152fb40a5c1209e95852eef11d14ceca2ce2c185014e914fd84c4afa69015339","cross_cats_sorted":["cs.DB"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T06:36:27Z","title_canon_sha256":"339123d37e2d17e1b6f612deed0d1ac9878c67159ffbbb79c99df0a066137e83"},"schema_version":"1.0","source":{"id":"2605.26601","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26601","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26601v1","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26601","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_12","alias_value":"6M6QER5QNZAY","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_16","alias_value":"6M6QER5QNZAYIFAM","created_at":"2026-05-27T01:06:01Z"},{"alias_kind":"pith_short_8","alias_value":"6M6QER5Q","created_at":"2026-05-27T01:06:01Z"}],"graph_snapshots":[{"event_id":"sha256:70f42a34cb710153a4ccb495b2653b2649e7b4fd02aa78c1fe78b9c7eb3a4c98","target":"graph","created_at":"2026-05-27T01:06:01Z","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/2605.26601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models have progressed rapidly, but Tibetan remains a severely underserved low-resource language due to the lack of reproducible training and evaluation infrastructure. To fill this gap, we introduce FTibSuite, a comprehensive resource suite for Tibetan vision-language research, consisting of FTibData (human-verified multimodal training corpora spanning continual pretraining, image-text alignment, and instruction tuning data), FTibBench (Tibetan adaptations of five mainstream multimodal benchmarks with a hierarchical quality-control workflow to reduce translation noise), and FT","authors_text":"Guixian Xu, Ting Zhang, Xuexian Song, Xu Han, Yide Liang, Yushuang Dong, Zeli Su, Ziyin Zhang","cross_cats":["cs.DB"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T06:36:27Z","title":"FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26601","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":"sha256:7c164993368fc0bd8827e5712d0e8ee1ea2d3f8c0116cc7f7febbb9d65922816","target":"record","created_at":"2026-05-27T01:06:01Z","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":"152fb40a5c1209e95852eef11d14ceca2ce2c185014e914fd84c4afa69015339","cross_cats_sorted":["cs.DB"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T06:36:27Z","title_canon_sha256":"339123d37e2d17e1b6f612deed0d1ac9878c67159ffbbb79c99df0a066137e83"},"schema_version":"1.0","source":{"id":"2605.26601","kind":"arxiv","version":1}},"canonical_sha256":"f33d0247b06e4184140cb4736e120889854b8c22b4f746c539ece111fac4316f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f33d0247b06e4184140cb4736e120889854b8c22b4f746c539ece111fac4316f","first_computed_at":"2026-05-27T01:06:01.534298Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:06:01.534298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vc/pfzoRgY6c8g5InZiq+RjtckZe2Yg/2noaRo2Ujz4eaRpkFrrO7oySqSn8ZzjSPxUqvfVSdWklcTd5fAwtAw==","signature_status":"signed_v1","signed_at":"2026-05-27T01:06:01.535217Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26601","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c164993368fc0bd8827e5712d0e8ee1ea2d3f8c0116cc7f7febbb9d65922816","sha256:70f42a34cb710153a4ccb495b2653b2649e7b4fd02aa78c1fe78b9c7eb3a4c98"],"state_sha256":"14c4aa46b5a42c4c2e36a1d0cc39fba5b3a9a96f8338ce66c5f8d70018f3f56e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mnDClsINEoGtwpTf2423z/tRucQbQXTaOf5MBbBKDndu+G3cTGaSE4WiNXUtbUjFTf11Fz2fyc0bT3KpZr6QCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:13:40.098864Z","bundle_sha256":"00c2108adcefda43bb4f2f10172782b32a0eafa0b1724a4d7d229a37781099c6"}}