{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:R6GO5QEHSIAYAEEDX4YORG65XT","short_pith_number":"pith:R6GO5QEH","canonical_record":{"source":{"id":"2208.12880","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T22:17:52Z","cross_cats_sorted":["cs.AI","cs.NE","eess.IV"],"title_canon_sha256":"1af8c41fdc146a4df752ad80f7389f6b1208b72137801b9eb48911621027ed40","abstract_canon_sha256":"8f7f803294f30a5fd769cc7315af1a4ff54ba2eacd455f765e975bdaed596dd4"},"schema_version":"1.0"},"canonical_sha256":"8f8ceec0879201801083bf30e89bddbce5908de20f8e5647c1f782c2362a8911","source":{"kind":"arxiv","id":"2208.12880","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12880","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12880v4","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12880","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_12","alias_value":"R6GO5QEHSIAY","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_16","alias_value":"R6GO5QEHSIAYAEED","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_8","alias_value":"R6GO5QEH","created_at":"2026-07-05T08:37:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:R6GO5QEHSIAYAEEDX4YORG65XT","target":"record","payload":{"canonical_record":{"source":{"id":"2208.12880","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T22:17:52Z","cross_cats_sorted":["cs.AI","cs.NE","eess.IV"],"title_canon_sha256":"1af8c41fdc146a4df752ad80f7389f6b1208b72137801b9eb48911621027ed40","abstract_canon_sha256":"8f7f803294f30a5fd769cc7315af1a4ff54ba2eacd455f765e975bdaed596dd4"},"schema_version":"1.0"},"canonical_sha256":"8f8ceec0879201801083bf30e89bddbce5908de20f8e5647c1f782c2362a8911","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:37:12.236394Z","signature_b64":"pmHk+nsn5x/FHKJEVXmisP4d2p3sqF8lyhwmblfi4PWZFpmfcnuu0T27OF8y94HpVjbuWttQpbWmmd1rQMTMBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f8ceec0879201801083bf30e89bddbce5908de20f8e5647c1f782c2362a8911","last_reissued_at":"2026-07-05T08:37:12.235906Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:37:12.235906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.12880","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gPe5wdTn+LSlpcH6IeD9ATqnDlwrJP1JlcbTtZe5mhAuCggSHqxkxChVrL5hTQH+OWRZE+DXmzueTe8mt+b+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:33:35.652793Z"},"content_sha256":"8c072b056d7d2922d6f963979d14a71f715d3d61fdc35e6b3b799c021e40dfa1","schema_version":"1.0","event_id":"sha256:8c072b056d7d2922d6f963979d14a71f715d3d61fdc35e6b3b799c021e40dfa1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:R6GO5QEHSIAYAEEDX4YORG65XT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neuromorphic Visual Scene Understanding with Resonator Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.NE","eess.IV"],"primary_cat":"cs.CV","authors_text":"Alpha Renner, Andreea Danielescu, Bruno A. Olshausen, E. Paxon Frady, Friedrich T. Sommer, Giacomo Indiveri, Lazar Supic, Yulia Sandamirskaya","submitted_at":"2022-08-26T22:17:52Z","abstract_excerpt":"Analyzing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to scene understanding. Yet, one major problem is the computational challenge of the inference procedure, involving a combinatorial search across object identities and poses. Here we propose a neuromorphic solution exploiting three key concepts: (1) a computational framework based on Vector Symbolic Architectures (VSA) with complex-valued vectors; (2) the design of Hierarchical Resonator Networks (HRN) to factorize the non-commutative transforms transl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12880","kind":"arxiv","version":4},"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/2208.12880/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":"2026-07-05T08:37:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mpc2ydJFSe+Sl2Revo6awL8/1Vc6Gd4tj9YOrthHlMvtMCRzzuTj1jSM8R3tC7iQqzO9+p8uWL/9uI2JkoIyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:33:35.653185Z"},"content_sha256":"a3dda4fcf76712f42998ac37a5511d1c50dd3c5490eb1fb5aeaa8c8197747a74","schema_version":"1.0","event_id":"sha256:a3dda4fcf76712f42998ac37a5511d1c50dd3c5490eb1fb5aeaa8c8197747a74"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R6GO5QEHSIAYAEEDX4YORG65XT/bundle.json","state_url":"https://pith.science/pith/R6GO5QEHSIAYAEEDX4YORG65XT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R6GO5QEHSIAYAEEDX4YORG65XT/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":"2026-07-07T05:33:35Z","links":{"resolver":"https://pith.science/pith/R6GO5QEHSIAYAEEDX4YORG65XT","bundle":"https://pith.science/pith/R6GO5QEHSIAYAEEDX4YORG65XT/bundle.json","state":"https://pith.science/pith/R6GO5QEHSIAYAEEDX4YORG65XT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R6GO5QEHSIAYAEEDX4YORG65XT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:R6GO5QEHSIAYAEEDX4YORG65XT","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":"8f7f803294f30a5fd769cc7315af1a4ff54ba2eacd455f765e975bdaed596dd4","cross_cats_sorted":["cs.AI","cs.NE","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T22:17:52Z","title_canon_sha256":"1af8c41fdc146a4df752ad80f7389f6b1208b72137801b9eb48911621027ed40"},"schema_version":"1.0","source":{"id":"2208.12880","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.12880","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"arxiv_version","alias_value":"2208.12880v4","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12880","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_12","alias_value":"R6GO5QEHSIAY","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_16","alias_value":"R6GO5QEHSIAYAEED","created_at":"2026-07-05T08:37:12Z"},{"alias_kind":"pith_short_8","alias_value":"R6GO5QEH","created_at":"2026-07-05T08:37:12Z"}],"graph_snapshots":[{"event_id":"sha256:a3dda4fcf76712f42998ac37a5511d1c50dd3c5490eb1fb5aeaa8c8197747a74","target":"graph","created_at":"2026-07-05T08:37:12Z","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/2208.12880/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analyzing a visual scene by inferring the configuration of a generative model is widely considered the most flexible and generalizable approach to scene understanding. Yet, one major problem is the computational challenge of the inference procedure, involving a combinatorial search across object identities and poses. Here we propose a neuromorphic solution exploiting three key concepts: (1) a computational framework based on Vector Symbolic Architectures (VSA) with complex-valued vectors; (2) the design of Hierarchical Resonator Networks (HRN) to factorize the non-commutative transforms transl","authors_text":"Alpha Renner, Andreea Danielescu, Bruno A. Olshausen, E. Paxon Frady, Friedrich T. Sommer, Giacomo Indiveri, Lazar Supic, Yulia Sandamirskaya","cross_cats":["cs.AI","cs.NE","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T22:17:52Z","title":"Neuromorphic Visual Scene Understanding with Resonator Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12880","kind":"arxiv","version":4},"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":"sha256:8c072b056d7d2922d6f963979d14a71f715d3d61fdc35e6b3b799c021e40dfa1","target":"record","created_at":"2026-07-05T08:37:12Z","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":"8f7f803294f30a5fd769cc7315af1a4ff54ba2eacd455f765e975bdaed596dd4","cross_cats_sorted":["cs.AI","cs.NE","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-26T22:17:52Z","title_canon_sha256":"1af8c41fdc146a4df752ad80f7389f6b1208b72137801b9eb48911621027ed40"},"schema_version":"1.0","source":{"id":"2208.12880","kind":"arxiv","version":4}},"canonical_sha256":"8f8ceec0879201801083bf30e89bddbce5908de20f8e5647c1f782c2362a8911","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f8ceec0879201801083bf30e89bddbce5908de20f8e5647c1f782c2362a8911","first_computed_at":"2026-07-05T08:37:12.235906Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:12.235906Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pmHk+nsn5x/FHKJEVXmisP4d2p3sqF8lyhwmblfi4PWZFpmfcnuu0T27OF8y94HpVjbuWttQpbWmmd1rQMTMBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:12.236394Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.12880","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c072b056d7d2922d6f963979d14a71f715d3d61fdc35e6b3b799c021e40dfa1","sha256:a3dda4fcf76712f42998ac37a5511d1c50dd3c5490eb1fb5aeaa8c8197747a74"],"state_sha256":"f30cbe471b0ee63f27707ea3ca883f32dbca25bdac2cbe8f4f4debb94e358b01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x44vD4k/Z6X+fcoXUOmp9+8tR53IdZKDR6lWAAPrBmj7wUgOF08LzzVziPBOi+nIfI+YPIyoAUwtFV+cUo9UBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:33:35.655954Z","bundle_sha256":"7b0cb6c1368648da95dad385ba89ee363128aba4bc5fde4b0c688ec59ca78788"}}