{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TI6GJUY32H2KOS7UZ6NHJGBBKZ","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":"6a99eb4068c36c8f85d16cd24cdbefc4b81af757f320534cecda9070a6fd21fe","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-10-02T10:59:21Z","title_canon_sha256":"86750575215610013e12ca48fd7880f24bba6d430cfcdf21af5bd49117fedba5"},"schema_version":"1.0","source":{"id":"2510.01891","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.01891","created_at":"2026-06-02T02:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2510.01891v2","created_at":"2026-06-02T02:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.01891","created_at":"2026-06-02T02:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"TI6GJUY32H2K","created_at":"2026-06-02T02:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"TI6GJUY32H2KOS7U","created_at":"2026-06-02T02:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"TI6GJUY3","created_at":"2026-06-02T02:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:8114a975a8fef41e09a6bdb01c928526f61e6332d54a36995b9db5ec4cc0274a","target":"graph","created_at":"2026-06-02T02:04:09Z","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/2510.01891/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Individual Head-Related Transfer Functions (HRTFs) are starting to be introduced in many commercial immersive audio applications and are crucial for realistic spatial audio rendering. However, one of the main hesitations regarding their introduction is that creating individual HRTFs is impractical at scale due to the complexities of the HRTF measurement process. To mitigate this drawback, HRTF spatial upsampling has been proposed with the aim of reducing the measurements required. While prior work has seen success with different machine learning (ML) approaches, these models often struggle wit","authors_text":"Aidan O. T. Hogg, Jian Li, Lorenzo Picinali, Ozgur B. Akan, Shaojie Zhang, Stefan Goetz, Xuyi Hu","cross_cats":["cs.AI","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-10-02T10:59:21Z","title":"HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.01891","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":"sha256:2b495ffa1f2ea201734240b4b352b0fb151e1fc891377bd51c5f4d6580b3f30a","target":"record","created_at":"2026-06-02T02:04:09Z","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":"6a99eb4068c36c8f85d16cd24cdbefc4b81af757f320534cecda9070a6fd21fe","cross_cats_sorted":["cs.AI","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-10-02T10:59:21Z","title_canon_sha256":"86750575215610013e12ca48fd7880f24bba6d430cfcdf21af5bd49117fedba5"},"schema_version":"1.0","source":{"id":"2510.01891","kind":"arxiv","version":2}},"canonical_sha256":"9a3c64d31bd1f4a74bf4cf9a7498215668649a9b66b73e164633a6e1f89bf215","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a3c64d31bd1f4a74bf4cf9a7498215668649a9b66b73e164633a6e1f89bf215","first_computed_at":"2026-06-02T02:04:09.657604Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:09.657604Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LBb26TKOGXVfcj4mgyRI6r0FXFSL+cPW9J8kc+XQECWj1SwxlTcaaD0WQbwcp1txnC+Qxav4JE2FGsfOkOWbDQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:09.658097Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.01891","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b495ffa1f2ea201734240b4b352b0fb151e1fc891377bd51c5f4d6580b3f30a","sha256:8114a975a8fef41e09a6bdb01c928526f61e6332d54a36995b9db5ec4cc0274a"],"state_sha256":"322a0678b13df975b119f21a467490b7f614ecb6adf1420566c9ca775fac3ba0"}