{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EO6R2PAAMYZLUVP54YIJTVVHBK","short_pith_number":"pith:EO6R2PAA","canonical_record":{"source":{"id":"2211.04756","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-11-09T09:19:15Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"0e5977ef284c6903c392c97ac1385a46a46cf72ea44db8daf852848138125728","abstract_canon_sha256":"66daceb144921225e879fbbc67426aa32a7dc6f1da8a872e96bd3279be2360c4"},"schema_version":"1.0"},"canonical_sha256":"23bd1d3c006632ba55fde61099d6a70aab2ac9568880f8b8ff63684a3a7a0b96","source":{"kind":"arxiv","id":"2211.04756","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04756","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04756v3","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04756","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"EO6R2PAAMYZL","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"EO6R2PAAMYZLUVP5","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"EO6R2PAA","created_at":"2026-07-05T05:34:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EO6R2PAAMYZLUVP54YIJTVVHBK","target":"record","payload":{"canonical_record":{"source":{"id":"2211.04756","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-11-09T09:19:15Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"0e5977ef284c6903c392c97ac1385a46a46cf72ea44db8daf852848138125728","abstract_canon_sha256":"66daceb144921225e879fbbc67426aa32a7dc6f1da8a872e96bd3279be2360c4"},"schema_version":"1.0"},"canonical_sha256":"23bd1d3c006632ba55fde61099d6a70aab2ac9568880f8b8ff63684a3a7a0b96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:34:04.098483Z","signature_b64":"2V8+/VuRgzZ7454TbvMwkTlyO4iTxXauvb1koRmeWNMqPZlwSFYHZogCBg3tRiCHFoJYCrDJWM1xpnHC+hqpBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23bd1d3c006632ba55fde61099d6a70aab2ac9568880f8b8ff63684a3a7a0b96","last_reissued_at":"2026-07-05T05:34:04.097990Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:34:04.097990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.04756","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xkB5kCzJLHL7HM5QaZcyNDgaq4MEu0TCieEdH+dfMhF4FOJORLBCw1GG6XuVpwvIe9W6ZT/J48JtuP8n1Hs5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:14:22.746300Z"},"content_sha256":"739f5bb389b133d9df57db755a4323c6c8a1257f75c5e48e3972f6b090f38149","schema_version":"1.0","event_id":"sha256:739f5bb389b133d9df57db755a4323c6c8a1257f75c5e48e3972f6b090f38149"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EO6R2PAAMYZLUVP54YIJTVVHBK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spiking Neural Network Decision Feedback Equalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"eess.SP","authors_text":"Alexander von Bank, Eike-Manuel Bansbach, Laurent Schmalen","submitted_at":"2022-11-09T09:19:15Z","abstract_excerpt":"In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional methods. In parallel, the artificial intelligence community drives its research to biology-inspired, brain-like spiking neural networks (SNNs), which promise extremely energy-efficient computing. In this paper, we investigate the use of SNNs in the context of channel equalization for ultra-low complexity receivers. We propose an SNN-based equalizer with a feedback structure akin to the decision feedback equalizer (DFE)."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04756","kind":"arxiv","version":3},"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/2211.04756/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":"2026-07-05T05:34:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zd8N+eNc1MGHkamw6V2BFeRtmm7IJg46ariJi1MNaaNhPLs+3/HahzuVRyX0pPvTK1RGUZdYJQC+nTLn9Z9mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:14:22.746639Z"},"content_sha256":"9d994a4feb73e2b93725fc92e7fb940582ef094f1914479399cbbbf917aaa8bf","schema_version":"1.0","event_id":"sha256:9d994a4feb73e2b93725fc92e7fb940582ef094f1914479399cbbbf917aaa8bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/bundle.json","state_url":"https://pith.science/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/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":"2026-08-23T05:14:22Z","links":{"resolver":"https://pith.science/pith/EO6R2PAAMYZLUVP54YIJTVVHBK","bundle":"https://pith.science/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/bundle.json","state":"https://pith.science/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EO6R2PAAMYZLUVP54YIJTVVHBK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EO6R2PAAMYZLUVP54YIJTVVHBK","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":"66daceb144921225e879fbbc67426aa32a7dc6f1da8a872e96bd3279be2360c4","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-11-09T09:19:15Z","title_canon_sha256":"0e5977ef284c6903c392c97ac1385a46a46cf72ea44db8daf852848138125728"},"schema_version":"1.0","source":{"id":"2211.04756","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04756","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04756v3","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04756","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"EO6R2PAAMYZL","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"EO6R2PAAMYZLUVP5","created_at":"2026-07-05T05:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"EO6R2PAA","created_at":"2026-07-05T05:34:04Z"}],"graph_snapshots":[{"event_id":"sha256:9d994a4feb73e2b93725fc92e7fb940582ef094f1914479399cbbbf917aaa8bf","target":"graph","created_at":"2026-07-05T05:34:04Z","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/2211.04756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional methods. In parallel, the artificial intelligence community drives its research to biology-inspired, brain-like spiking neural networks (SNNs), which promise extremely energy-efficient computing. In this paper, we investigate the use of SNNs in the context of channel equalization for ultra-low complexity receivers. We propose an SNN-based equalizer with a feedback structure akin to the decision feedback equalizer (DFE).","authors_text":"Alexander von Bank, Eike-Manuel Bansbach, Laurent Schmalen","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-11-09T09:19:15Z","title":"Spiking Neural Network Decision Feedback Equalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04756","kind":"arxiv","version":3},"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":"sha256:739f5bb389b133d9df57db755a4323c6c8a1257f75c5e48e3972f6b090f38149","target":"record","created_at":"2026-07-05T05:34:04Z","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":"66daceb144921225e879fbbc67426aa32a7dc6f1da8a872e96bd3279be2360c4","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2022-11-09T09:19:15Z","title_canon_sha256":"0e5977ef284c6903c392c97ac1385a46a46cf72ea44db8daf852848138125728"},"schema_version":"1.0","source":{"id":"2211.04756","kind":"arxiv","version":3}},"canonical_sha256":"23bd1d3c006632ba55fde61099d6a70aab2ac9568880f8b8ff63684a3a7a0b96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23bd1d3c006632ba55fde61099d6a70aab2ac9568880f8b8ff63684a3a7a0b96","first_computed_at":"2026-07-05T05:34:04.097990Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:34:04.097990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2V8+/VuRgzZ7454TbvMwkTlyO4iTxXauvb1koRmeWNMqPZlwSFYHZogCBg3tRiCHFoJYCrDJWM1xpnHC+hqpBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:34:04.098483Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.04756","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:739f5bb389b133d9df57db755a4323c6c8a1257f75c5e48e3972f6b090f38149","sha256:9d994a4feb73e2b93725fc92e7fb940582ef094f1914479399cbbbf917aaa8bf"],"state_sha256":"89cdf50e47f15ba7f0e90d9e7c54687c331310b839d7becfe3c136b1b0e7c7cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uGiiSyjJUPzzxft0+nq70+Ai6w0pznr7Fo1YA6W8rgbf/FLYVHKKfF26bXIa2TbWSU4zvmF+8QSeDs1lMpFLDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T05:14:22.750520Z","bundle_sha256":"8ac55ed5a01f97cd2e0fe7c98d59d1c45ce85b079678e82c54a2f3f8f886e91f"}}