{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:WF3ZMF2SUJRE4RRGK46NMHJEDJ","short_pith_number":"pith:WF3ZMF2S","canonical_record":{"source":{"id":"2207.10967","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-22T09:24:58Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"20c2784f03bea834a468cb780a99e56aad589763e35eb7195ffee7a77d02a115","abstract_canon_sha256":"3a01762d36b6f31565dd747da4a911eaa51b10ccbe2992403167f2461cca49a0"},"schema_version":"1.0"},"canonical_sha256":"b177961752a2624e4626573cd61d241a51a08be5662b36fe1d47ca305ac41955","source":{"kind":"arxiv","id":"2207.10967","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.10967","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"arxiv_version","alias_value":"2207.10967v1","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10967","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_12","alias_value":"WF3ZMF2SUJRE","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_16","alias_value":"WF3ZMF2SUJRE4RRG","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_8","alias_value":"WF3ZMF2S","created_at":"2026-07-05T04:42:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:WF3ZMF2SUJRE4RRGK46NMHJEDJ","target":"record","payload":{"canonical_record":{"source":{"id":"2207.10967","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-22T09:24:58Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"20c2784f03bea834a468cb780a99e56aad589763e35eb7195ffee7a77d02a115","abstract_canon_sha256":"3a01762d36b6f31565dd747da4a911eaa51b10ccbe2992403167f2461cca49a0"},"schema_version":"1.0"},"canonical_sha256":"b177961752a2624e4626573cd61d241a51a08be5662b36fe1d47ca305ac41955","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:42.086726Z","signature_b64":"520zOUnwOIXNmTsund9WdxHK/fozGkNuTZ9Pd+DbGpaib9Kviy7NqhVQ5lZNCpSPLm/P6U7o/lygiX441M4zAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b177961752a2624e4626573cd61d241a51a08be5662b36fe1d47ca305ac41955","last_reissued_at":"2026-07-05T04:42:42.086265Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:42.086265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.10967","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":"2026-07-05T04:42:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BT7BgroBZMvOkO2arTzcdShZ8mfxhrkNXWNn7iQgcs701UFIYQ9nNIw/Jjrj1lrUdGZBRmuA/WWxYGMX1HUEBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:56:55.746109Z"},"content_sha256":"03d3681c8c80b5140e37fbd82637377c514e4c70fad3a3327bbecc6737aca0ce","schema_version":"1.0","event_id":"sha256:03d3681c8c80b5140e37fbd82637377c514e4c70fad3a3327bbecc6737aca0ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:WF3ZMF2SUJRE4RRGK46NMHJEDJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Hiroshi Saruwatari, Shoichi Koyama, Tomohiko Nakamura, Yuki Ito","submitted_at":"2022-07-22T09:24:58Z","abstract_excerpt":"We propose a method of head-related transfer function (HRTF) interpolation from sparsely measured HRTFs using an autoencoder with source position conditioning. The proposed method is drawn from an analogy between an HRTF interpolation method based on regularized linear regression (RLR) and an autoencoder. Through this analogy, we found the key feature of the RLR-based method that HRTFs are decomposed into source-position-dependent and source-position-independent factors. On the basis of this finding, we design the encoder and decoder so that their weights and biases are generated from source p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10967","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/2207.10967/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":"2026-07-05T04:42:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yDy/rUxPkvQiZ3CZe+TkP2Vzn9LbmvDO/HnNRQpW+ZMRHo6FISZIaTk9tz4tg/ep+319upax6ol/xeg2V5niCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T17:56:55.746608Z"},"content_sha256":"88446b57fe790fec5ac1ae53c279f4008f4057e72fa9f801276bb8086ce966c6","schema_version":"1.0","event_id":"sha256:88446b57fe790fec5ac1ae53c279f4008f4057e72fa9f801276bb8086ce966c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/bundle.json","state_url":"https://pith.science/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/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":"2026-08-23T17:56:55Z","links":{"resolver":"https://pith.science/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ","bundle":"https://pith.science/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/bundle.json","state":"https://pith.science/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WF3ZMF2SUJRE4RRGK46NMHJEDJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WF3ZMF2SUJRE4RRGK46NMHJEDJ","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":"3a01762d36b6f31565dd747da4a911eaa51b10ccbe2992403167f2461cca49a0","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-22T09:24:58Z","title_canon_sha256":"20c2784f03bea834a468cb780a99e56aad589763e35eb7195ffee7a77d02a115"},"schema_version":"1.0","source":{"id":"2207.10967","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.10967","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"arxiv_version","alias_value":"2207.10967v1","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.10967","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_12","alias_value":"WF3ZMF2SUJRE","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_16","alias_value":"WF3ZMF2SUJRE4RRG","created_at":"2026-07-05T04:42:42Z"},{"alias_kind":"pith_short_8","alias_value":"WF3ZMF2S","created_at":"2026-07-05T04:42:42Z"}],"graph_snapshots":[{"event_id":"sha256:88446b57fe790fec5ac1ae53c279f4008f4057e72fa9f801276bb8086ce966c6","target":"graph","created_at":"2026-07-05T04:42:42Z","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/2207.10967/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a method of head-related transfer function (HRTF) interpolation from sparsely measured HRTFs using an autoencoder with source position conditioning. The proposed method is drawn from an analogy between an HRTF interpolation method based on regularized linear regression (RLR) and an autoencoder. Through this analogy, we found the key feature of the RLR-based method that HRTFs are decomposed into source-position-dependent and source-position-independent factors. On the basis of this finding, we design the encoder and decoder so that their weights and biases are generated from source p","authors_text":"Hiroshi Saruwatari, Shoichi Koyama, Tomohiko Nakamura, Yuki Ito","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-22T09:24:58Z","title":"Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.10967","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":"sha256:03d3681c8c80b5140e37fbd82637377c514e4c70fad3a3327bbecc6737aca0ce","target":"record","created_at":"2026-07-05T04:42:42Z","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":"3a01762d36b6f31565dd747da4a911eaa51b10ccbe2992403167f2461cca49a0","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-07-22T09:24:58Z","title_canon_sha256":"20c2784f03bea834a468cb780a99e56aad589763e35eb7195ffee7a77d02a115"},"schema_version":"1.0","source":{"id":"2207.10967","kind":"arxiv","version":1}},"canonical_sha256":"b177961752a2624e4626573cd61d241a51a08be5662b36fe1d47ca305ac41955","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b177961752a2624e4626573cd61d241a51a08be5662b36fe1d47ca305ac41955","first_computed_at":"2026-07-05T04:42:42.086265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:42.086265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"520zOUnwOIXNmTsund9WdxHK/fozGkNuTZ9Pd+DbGpaib9Kviy7NqhVQ5lZNCpSPLm/P6U7o/lygiX441M4zAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:42.086726Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.10967","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03d3681c8c80b5140e37fbd82637377c514e4c70fad3a3327bbecc6737aca0ce","sha256:88446b57fe790fec5ac1ae53c279f4008f4057e72fa9f801276bb8086ce966c6"],"state_sha256":"d07f2f5d17271f0072d5e02f01452eb20116e45c6c3a520097b0a9f58ff3f16a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IsM1V4C/iz4ZLWl6t0GvpPaVlzhjXlTUtK9DwzUJhQ+Y+in+V19XnX3q7m1tLDC2vrQ3Hd7WfxhE8kW1i/vzAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T17:56:55.751844Z","bundle_sha256":"36029c76e5062ae1a07d5a09ff8bf04f27983dc6754a1e54e45913eb2886ca6a"}}