{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YLQPFAWNAZKNO37GUVHVUNJOXO","short_pith_number":"pith:YLQPFAWN","canonical_record":{"source":{"id":"2412.07366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-10T10:05:09Z","cross_cats_sorted":[],"title_canon_sha256":"2236d1483bbb3d667bd97b866c9d80769d6b754d9d93d366db65745f3ee93a67","abstract_canon_sha256":"6512172ee2b4468d3e74c43521059e66de364a5c5b10165242c45416cdcc1916"},"schema_version":"1.0"},"canonical_sha256":"c2e0f282cd0654d76fe6a54f5a352ebbbaa279169b1c4f0bdfafd44fed9bdfd2","source":{"kind":"arxiv","id":"2412.07366","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07366","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07366v1","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07366","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_12","alias_value":"YLQPFAWNAZKN","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_16","alias_value":"YLQPFAWNAZKNO37G","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_8","alias_value":"YLQPFAWN","created_at":"2026-07-05T10:58:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YLQPFAWNAZKNO37GUVHVUNJOXO","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-10T10:05:09Z","cross_cats_sorted":[],"title_canon_sha256":"2236d1483bbb3d667bd97b866c9d80769d6b754d9d93d366db65745f3ee93a67","abstract_canon_sha256":"6512172ee2b4468d3e74c43521059e66de364a5c5b10165242c45416cdcc1916"},"schema_version":"1.0"},"canonical_sha256":"c2e0f282cd0654d76fe6a54f5a352ebbbaa279169b1c4f0bdfafd44fed9bdfd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:21.066756Z","signature_b64":"b/E/FxXam7tvGvwDfm2XzLYHDEbSgX9JBvCJjO7DtuusHOqWKwkuGtDmtCBTEIMmLEBrkIll2q04blTJ2WpVBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2e0f282cd0654d76fe6a54f5a352ebbbaa279169b1c4f0bdfafd44fed9bdfd2","last_reissued_at":"2026-07-05T10:58:21.066205Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:21.066205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07366","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":"2026-07-05T10:58:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Dv9iyAOqdLKZVx+YMs4CJi7md0xl1tBGgDLRUbbVeWhWHV7EB27OQtHTSITTxYHeYYbpi2fRrC3q4lfsxghAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:50.317857Z"},"content_sha256":"5b3dd7874167361d478fdf58111e4bce388a93825d3dbf01a971402eb74f7b8f","schema_version":"1.0","event_id":"sha256:5b3dd7874167361d478fdf58111e4bce388a93825d3dbf01a971402eb74f7b8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YLQPFAWNAZKNO37GUVHVUNJOXO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalized Head-Related Transfer Function Prediction Based on Spatial Grouping","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Keng-Wei Chang, Tai-Shi Chi, Yih-Liang Shen","submitted_at":"2024-12-10T10:05:09Z","abstract_excerpt":"The head-related transfer function (HRTF) characterizes the frequency response of the sound traveling path between a specific location and the ear. When it comes to estimating HRTFs by neural network models, angle-specific models greatly outperform global models but demand high computational resources. To balance the computational resource and performance, we propose a method by grouping HRTF data spatially to reduce variance within each subspace. HRTF predicting neural network is then trained for each subspace. Simulation results show the proposed method performs better than global models and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07366","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/2412.07366/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":"2026-07-05T10:58:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hd5wUWjMTeWcQAoXNRc42XN+fYByNdeAl8t/VOkmWrCZvx6DU86LqzvIpXzrTohy9KRyWi5L/mQl7d3gsRezCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:50.318369Z"},"content_sha256":"50538c78cefda6f82d2b2553065779f06054b196b2e561d0245c946cc231dc4c","schema_version":"1.0","event_id":"sha256:50538c78cefda6f82d2b2553065779f06054b196b2e561d0245c946cc231dc4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/bundle.json","state_url":"https://pith.science/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/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":"2026-08-15T23:44:50Z","links":{"resolver":"https://pith.science/pith/YLQPFAWNAZKNO37GUVHVUNJOXO","bundle":"https://pith.science/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/bundle.json","state":"https://pith.science/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YLQPFAWNAZKNO37GUVHVUNJOXO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YLQPFAWNAZKNO37GUVHVUNJOXO","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":"6512172ee2b4468d3e74c43521059e66de364a5c5b10165242c45416cdcc1916","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-10T10:05:09Z","title_canon_sha256":"2236d1483bbb3d667bd97b866c9d80769d6b754d9d93d366db65745f3ee93a67"},"schema_version":"1.0","source":{"id":"2412.07366","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07366","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07366v1","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07366","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_12","alias_value":"YLQPFAWNAZKN","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_16","alias_value":"YLQPFAWNAZKNO37G","created_at":"2026-07-05T10:58:21Z"},{"alias_kind":"pith_short_8","alias_value":"YLQPFAWN","created_at":"2026-07-05T10:58:21Z"}],"graph_snapshots":[{"event_id":"sha256:50538c78cefda6f82d2b2553065779f06054b196b2e561d0245c946cc231dc4c","target":"graph","created_at":"2026-07-05T10:58:21Z","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/2412.07366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The head-related transfer function (HRTF) characterizes the frequency response of the sound traveling path between a specific location and the ear. When it comes to estimating HRTFs by neural network models, angle-specific models greatly outperform global models but demand high computational resources. To balance the computational resource and performance, we propose a method by grouping HRTF data spatially to reduce variance within each subspace. HRTF predicting neural network is then trained for each subspace. Simulation results show the proposed method performs better than global models and","authors_text":"Keng-Wei Chang, Tai-Shi Chi, Yih-Liang Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-10T10:05:09Z","title":"Personalized Head-Related Transfer Function Prediction Based on Spatial Grouping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07366","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":"sha256:5b3dd7874167361d478fdf58111e4bce388a93825d3dbf01a971402eb74f7b8f","target":"record","created_at":"2026-07-05T10:58:21Z","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":"6512172ee2b4468d3e74c43521059e66de364a5c5b10165242c45416cdcc1916","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-12-10T10:05:09Z","title_canon_sha256":"2236d1483bbb3d667bd97b866c9d80769d6b754d9d93d366db65745f3ee93a67"},"schema_version":"1.0","source":{"id":"2412.07366","kind":"arxiv","version":1}},"canonical_sha256":"c2e0f282cd0654d76fe6a54f5a352ebbbaa279169b1c4f0bdfafd44fed9bdfd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2e0f282cd0654d76fe6a54f5a352ebbbaa279169b1c4f0bdfafd44fed9bdfd2","first_computed_at":"2026-07-05T10:58:21.066205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:21.066205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b/E/FxXam7tvGvwDfm2XzLYHDEbSgX9JBvCJjO7DtuusHOqWKwkuGtDmtCBTEIMmLEBrkIll2q04blTJ2WpVBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:21.066756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07366","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b3dd7874167361d478fdf58111e4bce388a93825d3dbf01a971402eb74f7b8f","sha256:50538c78cefda6f82d2b2553065779f06054b196b2e561d0245c946cc231dc4c"],"state_sha256":"277098d5734b6dc8451576a7c1de1ab8383c77f0c0ba72188601d6d125d2adc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CBa40/0NM77cJV9y1rfhzt/IAvAy9U+HI7GvT7BhmqoNAUfbr7OVV8qyeDlTIXDD9W6YQHhRlP0MmNKqKPoNBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:44:50.323049Z","bundle_sha256":"22bee6ba2636163ae1289b39e52cf1a1e3937f6f852c83c8250e5abbf5eceae1"}}