{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TEWXLK7BN6KLZCPRJIZNI42S4X","short_pith_number":"pith:TEWXLK7B","canonical_record":{"source":{"id":"2509.04506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-02T14:30:50Z","cross_cats_sorted":["cs.AI","cs.AR","cs.SY"],"title_canon_sha256":"c8c00ee91da703ee6f26f0fd11b987b86fbb4c1133b68d5c6814e2a008ce9b3d","abstract_canon_sha256":"32bccfd4241a682215113ce4c03bd47d123f8080f5964cccf406c43f060483be"},"schema_version":"1.0"},"canonical_sha256":"992d75abe16f94bc89f14a32d47352e5c881d58347b57ed82c5d746ff4f96383","source":{"kind":"arxiv","id":"2509.04506","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04506","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04506v1","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04506","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"TEWXLK7BN6KL","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"TEWXLK7BN6KLZCPR","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"TEWXLK7B","created_at":"2026-07-05T12:05:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TEWXLK7BN6KLZCPRJIZNI42S4X","target":"record","payload":{"canonical_record":{"source":{"id":"2509.04506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-02T14:30:50Z","cross_cats_sorted":["cs.AI","cs.AR","cs.SY"],"title_canon_sha256":"c8c00ee91da703ee6f26f0fd11b987b86fbb4c1133b68d5c6814e2a008ce9b3d","abstract_canon_sha256":"32bccfd4241a682215113ce4c03bd47d123f8080f5964cccf406c43f060483be"},"schema_version":"1.0"},"canonical_sha256":"992d75abe16f94bc89f14a32d47352e5c881d58347b57ed82c5d746ff4f96383","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:24.243844Z","signature_b64":"N5RQQu7oJAWymhDcYJc3uI83dt9ciBrrlJqF5besrTcUZey30Bd701WL2ytyfP0nFbiT+1CCxrXRReTh71b3DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"992d75abe16f94bc89f14a32d47352e5c881d58347b57ed82c5d746ff4f96383","last_reissued_at":"2026-07-05T12:05:24.243224Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:24.243224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.04506","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":"2026-07-05T12:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9FDyZJE+TD3lzk5ov/LNlYNFySbIJOwS3jqKJ2GKtYOqb52LQB1C/tKe/HAx0w0N0vN3U+rsQMIOba9O1GkYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:59:30.438190Z"},"content_sha256":"27235bb828e984e9c23c179edccd5c262b687c3c6c65cebae661b62cd7215634","schema_version":"1.0","event_id":"sha256:27235bb828e984e9c23c179edccd5c262b687c3c6c65cebae661b62cd7215634"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TEWXLK7BN6KLZCPRJIZNI42S4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.AR","cs.SY"],"primary_cat":"eess.SY","authors_text":"Dario Izzo, Dominik Dold, Moritz Fieback, Said Hamdioui, Zacharia A. Rudge","submitted_at":"2025-09-02T14:30:50Z","abstract_excerpt":"Memristors are an emerging technology that enables artificial intelligence (AI) accelerators with high energy efficiency and radiation robustness -- properties that are vital for the deployment of AI on-board spacecraft. However, space applications require reliable and precise computations, while memristive devices suffer from non-idealities, such as device variability, conductance drifts, and device faults. Thus, porting neural networks (NNs) to memristive devices often faces the challenge of severe performance degradation. In this work, we show in simulations that memristor-based NNs achieve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04506","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/2509.04506/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":"2026-07-05T12:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yzvojvQ3/BTifFUwL6ozUjuBMBwiArPqZxp9wCPlU6wLDqdI4RPOCUhX2pZUrMzy4Bs9c4UEOK6UCyBVHMwVCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T03:59:30.438723Z"},"content_sha256":"0766d171b115caae7501a6366ddeec6e1a951a0046a12371ae142478b1a1e1f9","schema_version":"1.0","event_id":"sha256:0766d171b115caae7501a6366ddeec6e1a951a0046a12371ae142478b1a1e1f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/bundle.json","state_url":"https://pith.science/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/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":"2026-08-10T03:59:30Z","links":{"resolver":"https://pith.science/pith/TEWXLK7BN6KLZCPRJIZNI42S4X","bundle":"https://pith.science/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/bundle.json","state":"https://pith.science/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TEWXLK7BN6KLZCPRJIZNI42S4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TEWXLK7BN6KLZCPRJIZNI42S4X","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":"32bccfd4241a682215113ce4c03bd47d123f8080f5964cccf406c43f060483be","cross_cats_sorted":["cs.AI","cs.AR","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-02T14:30:50Z","title_canon_sha256":"c8c00ee91da703ee6f26f0fd11b987b86fbb4c1133b68d5c6814e2a008ce9b3d"},"schema_version":"1.0","source":{"id":"2509.04506","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.04506","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.04506v1","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.04506","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"TEWXLK7BN6KL","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"TEWXLK7BN6KLZCPR","created_at":"2026-07-05T12:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"TEWXLK7B","created_at":"2026-07-05T12:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:0766d171b115caae7501a6366ddeec6e1a951a0046a12371ae142478b1a1e1f9","target":"graph","created_at":"2026-07-05T12:05:24Z","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/2509.04506/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Memristors are an emerging technology that enables artificial intelligence (AI) accelerators with high energy efficiency and radiation robustness -- properties that are vital for the deployment of AI on-board spacecraft. However, space applications require reliable and precise computations, while memristive devices suffer from non-idealities, such as device variability, conductance drifts, and device faults. Thus, porting neural networks (NNs) to memristive devices often faces the challenge of severe performance degradation. In this work, we show in simulations that memristor-based NNs achieve","authors_text":"Dario Izzo, Dominik Dold, Moritz Fieback, Said Hamdioui, Zacharia A. Rudge","cross_cats":["cs.AI","cs.AR","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-02T14:30:50Z","title":"Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.04506","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":"sha256:27235bb828e984e9c23c179edccd5c262b687c3c6c65cebae661b62cd7215634","target":"record","created_at":"2026-07-05T12:05:24Z","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":"32bccfd4241a682215113ce4c03bd47d123f8080f5964cccf406c43f060483be","cross_cats_sorted":["cs.AI","cs.AR","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-02T14:30:50Z","title_canon_sha256":"c8c00ee91da703ee6f26f0fd11b987b86fbb4c1133b68d5c6814e2a008ce9b3d"},"schema_version":"1.0","source":{"id":"2509.04506","kind":"arxiv","version":1}},"canonical_sha256":"992d75abe16f94bc89f14a32d47352e5c881d58347b57ed82c5d746ff4f96383","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"992d75abe16f94bc89f14a32d47352e5c881d58347b57ed82c5d746ff4f96383","first_computed_at":"2026-07-05T12:05:24.243224Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:24.243224Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N5RQQu7oJAWymhDcYJc3uI83dt9ciBrrlJqF5besrTcUZey30Bd701WL2ytyfP0nFbiT+1CCxrXRReTh71b3DA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:24.243844Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.04506","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27235bb828e984e9c23c179edccd5c262b687c3c6c65cebae661b62cd7215634","sha256:0766d171b115caae7501a6366ddeec6e1a951a0046a12371ae142478b1a1e1f9"],"state_sha256":"b145a9c444bed1586d5439f3c0cacfb7176ae240b93a4b567c504ef15028beb6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W1+aYC2y0TIQJiPWSqtKuR3R0mwAhLOxtexWt6xXwpGKVloCin1BGMDhBJmyNVcUmnOpQLVr7iHesfQfYEn2Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T03:59:30.442612Z","bundle_sha256":"efaf2a682dcd0fc1405f017a143c2b33e09395668b6085b1e301c00fb180b193"}}