{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3G4FTCN6VBOWY3MMJHOQRQ3JTF","short_pith_number":"pith:3G4FTCN6","canonical_record":{"source":{"id":"2409.15022","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T13:50:11Z","cross_cats_sorted":["cs.AI","cs.ET","cs.NE"],"title_canon_sha256":"16fe7ab19a2c1b5c59b5e6bb74d9c2b3952cf6cf6c722fe11d79a9bd9bfef617","abstract_canon_sha256":"ca61323569151b890722831fb6ac658f3ac3a3204373fac115209d4665545a7d"},"schema_version":"1.0"},"canonical_sha256":"d9b85989bea85d6c6d8c49dd08c3699954af8b6c02c96649d079939d0adacbaf","source":{"kind":"arxiv","id":"2409.15022","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15022","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15022v1","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15022","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_12","alias_value":"3G4FTCN6VBOW","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_16","alias_value":"3G4FTCN6VBOWY3MM","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_8","alias_value":"3G4FTCN6","created_at":"2026-07-05T09:10:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3G4FTCN6VBOWY3MMJHOQRQ3JTF","target":"record","payload":{"canonical_record":{"source":{"id":"2409.15022","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T13:50:11Z","cross_cats_sorted":["cs.AI","cs.ET","cs.NE"],"title_canon_sha256":"16fe7ab19a2c1b5c59b5e6bb74d9c2b3952cf6cf6c722fe11d79a9bd9bfef617","abstract_canon_sha256":"ca61323569151b890722831fb6ac658f3ac3a3204373fac115209d4665545a7d"},"schema_version":"1.0"},"canonical_sha256":"d9b85989bea85d6c6d8c49dd08c3699954af8b6c02c96649d079939d0adacbaf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:35.213714Z","signature_b64":"2MWm8FylF1NgYkb+3xG9SggsIKwNP79HrZZrcHASYo0TQY0xA0pwde+xQLPT5XWxTqs6Rziv/RwhsKCNlrmNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9b85989bea85d6c6d8c49dd08c3699954af8b6c02c96649d079939d0adacbaf","last_reissued_at":"2026-07-05T09:10:35.213255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:35.213255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.15022","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":"2026-07-05T09:10:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PU+cgt3+AQhyP8NHnLYydZm4DT6CC83lSeOuRLPZT/5aEjTRTFQjiuw4t7lDfGF4+Dy19EyU3tSy0xNuYRSQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:15:13.889052Z"},"content_sha256":"1069c243920016bb3c76db6312a3a73add7275f9cbd1360240197c306bbb386a","schema_version":"1.0","event_id":"sha256:1069c243920016bb3c76db6312a3a73add7275f9cbd1360240197c306bbb386a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3G4FTCN6VBOWY3MMJHOQRQ3JTF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.ET","cs.NE"],"primary_cat":"cs.LG","authors_text":"Leobardo Campos-Macias, Mathis Richter, Philipp Plank, Philipp Stratmann, Philipp Weidel, Sumit Bam Shrestha, Svea Marie Meyer","submitted_at":"2024-09-23T13:50:11Z","abstract_excerpt":"Deep State-Space Models (SSM) demonstrate state-of-the art performance on long-range sequence modeling tasks. While the recurrent structure of SSMs can be efficiently implemented as a convolution or as a parallel scan during training, recurrent token-by-token processing cannot currently be implemented efficiently on GPUs. Here, we demonstrate efficient token-by-token inference of the SSM S4D on Intel's Loihi 2 state-of-the-art neuromorphic processor. We compare this first ever neuromorphic-hardware implementation of an SSM on sMNIST, psMNIST, and sCIFAR to a recurrent and a convolutional imple"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15022","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/2409.15022/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":"2026-07-05T09:10:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+l66L66EopFwcKyi+oPTyI5FWg4CWCe/90s2PPBNuVGmEZnkU5SsYgH2tIo8gcc1//Mao/A1ZwkG7YfL3dL4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T22:15:13.889666Z"},"content_sha256":"b3b09c430ba13c1c8e078b4f9ad452cb16f93780ba3a4c123ca043fa2595b8ef","schema_version":"1.0","event_id":"sha256:b3b09c430ba13c1c8e078b4f9ad452cb16f93780ba3a4c123ca043fa2595b8ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/bundle.json","state_url":"https://pith.science/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/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":"2026-08-07T22:15:13Z","links":{"resolver":"https://pith.science/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF","bundle":"https://pith.science/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/bundle.json","state":"https://pith.science/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3G4FTCN6VBOWY3MMJHOQRQ3JTF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3G4FTCN6VBOWY3MMJHOQRQ3JTF","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":"ca61323569151b890722831fb6ac658f3ac3a3204373fac115209d4665545a7d","cross_cats_sorted":["cs.AI","cs.ET","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T13:50:11Z","title_canon_sha256":"16fe7ab19a2c1b5c59b5e6bb74d9c2b3952cf6cf6c722fe11d79a9bd9bfef617"},"schema_version":"1.0","source":{"id":"2409.15022","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15022","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15022v1","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15022","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_12","alias_value":"3G4FTCN6VBOW","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_16","alias_value":"3G4FTCN6VBOWY3MM","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_8","alias_value":"3G4FTCN6","created_at":"2026-07-05T09:10:35Z"}],"graph_snapshots":[{"event_id":"sha256:b3b09c430ba13c1c8e078b4f9ad452cb16f93780ba3a4c123ca043fa2595b8ef","target":"graph","created_at":"2026-07-05T09:10:35Z","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/2409.15022/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep State-Space Models (SSM) demonstrate state-of-the art performance on long-range sequence modeling tasks. While the recurrent structure of SSMs can be efficiently implemented as a convolution or as a parallel scan during training, recurrent token-by-token processing cannot currently be implemented efficiently on GPUs. Here, we demonstrate efficient token-by-token inference of the SSM S4D on Intel's Loihi 2 state-of-the-art neuromorphic processor. We compare this first ever neuromorphic-hardware implementation of an SSM on sMNIST, psMNIST, and sCIFAR to a recurrent and a convolutional imple","authors_text":"Leobardo Campos-Macias, Mathis Richter, Philipp Plank, Philipp Stratmann, Philipp Weidel, Sumit Bam Shrestha, Svea Marie Meyer","cross_cats":["cs.AI","cs.ET","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T13:50:11Z","title":"A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15022","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":"sha256:1069c243920016bb3c76db6312a3a73add7275f9cbd1360240197c306bbb386a","target":"record","created_at":"2026-07-05T09:10:35Z","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":"ca61323569151b890722831fb6ac658f3ac3a3204373fac115209d4665545a7d","cross_cats_sorted":["cs.AI","cs.ET","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-09-23T13:50:11Z","title_canon_sha256":"16fe7ab19a2c1b5c59b5e6bb74d9c2b3952cf6cf6c722fe11d79a9bd9bfef617"},"schema_version":"1.0","source":{"id":"2409.15022","kind":"arxiv","version":1}},"canonical_sha256":"d9b85989bea85d6c6d8c49dd08c3699954af8b6c02c96649d079939d0adacbaf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9b85989bea85d6c6d8c49dd08c3699954af8b6c02c96649d079939d0adacbaf","first_computed_at":"2026-07-05T09:10:35.213255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:35.213255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2MWm8FylF1NgYkb+3xG9SggsIKwNP79HrZZrcHASYo0TQY0xA0pwde+xQLPT5XWxTqs6Rziv/RwhsKCNlrmNBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:35.213714Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15022","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1069c243920016bb3c76db6312a3a73add7275f9cbd1360240197c306bbb386a","sha256:b3b09c430ba13c1c8e078b4f9ad452cb16f93780ba3a4c123ca043fa2595b8ef"],"state_sha256":"579470ce49d11d9ed0a2e189f74728505edca5650988de12bd2a5e9c5a8d9bc2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cDzzQwmcpa/ZQLqkEjSmd1SDmKL+7mzZ5gVgvrKcYyYuvy1byxCcop7ncMwq1T+GzxYIQaMCoXbnXXKqzxKVBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T22:15:13.893921Z","bundle_sha256":"8b7422b562c3dc03b4a5790509d5b11cddf251f3823d02b94fb59ec457cf3ca6"}}