{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BSOPX2KTPOME7ZF77KBMPNK7EU","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":"80033596a14ca43f469ee7e9a2b84a18c8400df782021c1ce66ade778204c5f3","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-09-15T10:11:37Z","title_canon_sha256":"7653549004875e2f6a9f99f8c426fa8c15d1577f8fba368a34e15d72092f33b9"},"schema_version":"1.0","source":{"id":"2309.08290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.08290","created_at":"2026-07-05T06:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"2309.08290v1","created_at":"2026-07-05T06:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.08290","created_at":"2026-07-05T06:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"BSOPX2KTPOME","created_at":"2026-07-05T06:51:04Z"},{"alias_kind":"pith_short_16","alias_value":"BSOPX2KTPOME7ZF7","created_at":"2026-07-05T06:51:04Z"},{"alias_kind":"pith_short_8","alias_value":"BSOPX2KT","created_at":"2026-07-05T06:51:04Z"}],"graph_snapshots":[{"event_id":"sha256:fe2d722ee391d1742a454bafd88f7b908dc5e308a5d86e9bf0e546fbc8c8b6f0","target":"graph","created_at":"2026-07-05T06:51:04Z","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/2309.08290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Head-related transfer functions (HRTFs) are crucial for spatial soundfield reproduction in virtual reality applications. However, obtaining personalized, high-resolution HRTFs is a time-consuming and costly task. Recently, deep learning-based methods showed promise in interpolating high-resolution HRTFs from sparse measurements. Some of these methods treat HRTF interpolation as an image super-resolution task, which neglects spatial acoustic features. This paper proposes a spherical convolutional neural network method for HRTF interpolation. The proposed method realizes the convolution process ","authors_text":"Amy Bastine, Fei Ma, Prasanga N. Samarasinghe, Xingyu Chen, Yile Zhang","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-09-15T10:11:37Z","title":"Head-Related Transfer Function Interpolation with a Spherical CNN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.08290","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":"sha256:3613c8f8a6c8cd511bb0c2a07e5538b8b5cd4c9b8a92885ddf9c9b539d67ecd0","target":"record","created_at":"2026-07-05T06:51:04Z","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":"80033596a14ca43f469ee7e9a2b84a18c8400df782021c1ce66ade778204c5f3","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2023-09-15T10:11:37Z","title_canon_sha256":"7653549004875e2f6a9f99f8c426fa8c15d1577f8fba368a34e15d72092f33b9"},"schema_version":"1.0","source":{"id":"2309.08290","kind":"arxiv","version":1}},"canonical_sha256":"0c9cfbe9537b984fe4bffa82c7b55f250008b3dfec2c9a882d0cf7b850dd586a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c9cfbe9537b984fe4bffa82c7b55f250008b3dfec2c9a882d0cf7b850dd586a","first_computed_at":"2026-07-05T06:51:04.820213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:51:04.820213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m0DF3ybPMRbtDKUtsDi5CyfLXgGTzPTe/DsNpT+xi9Ycvx3zqqsLPBFheQ9h17TRJgg1FieSRSn6nLcFk4DtAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:51:04.820644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.08290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3613c8f8a6c8cd511bb0c2a07e5538b8b5cd4c9b8a92885ddf9c9b539d67ecd0","sha256:fe2d722ee391d1742a454bafd88f7b908dc5e308a5d86e9bf0e546fbc8c8b6f0"],"state_sha256":"cd06ab465d361373749025739e76094a61d84e4bf026cb5235e220096526a756"}