{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CRQLEAC4WMT24L3NGY4RPNQ2TP","short_pith_number":"pith:CRQLEAC4","canonical_record":{"source":{"id":"2607.03191","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-03T10:52:38Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"54ef5a9420ff2e83875ef6c256d0d51f7d629a0b907c86e0b718275e18ceb78b","abstract_canon_sha256":"76d3ce99f747bab568e0d6d9a66412ab742a8bdcb2f6894f9cf01af58f841ddd"},"schema_version":"1.0"},"canonical_sha256":"1460b2005cb327ae2f6d363917b61a9befb49eaf371b46bda7bddbd5f12af849","source":{"kind":"arxiv","id":"2607.03191","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03191","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03191v1","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03191","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_12","alias_value":"CRQLEAC4WMT2","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_16","alias_value":"CRQLEAC4WMT24L3N","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_8","alias_value":"CRQLEAC4","created_at":"2026-07-07T01:16:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CRQLEAC4WMT24L3NGY4RPNQ2TP","target":"record","payload":{"canonical_record":{"source":{"id":"2607.03191","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-03T10:52:38Z","cross_cats_sorted":["cs.ET"],"title_canon_sha256":"54ef5a9420ff2e83875ef6c256d0d51f7d629a0b907c86e0b718275e18ceb78b","abstract_canon_sha256":"76d3ce99f747bab568e0d6d9a66412ab742a8bdcb2f6894f9cf01af58f841ddd"},"schema_version":"1.0"},"canonical_sha256":"1460b2005cb327ae2f6d363917b61a9befb49eaf371b46bda7bddbd5f12af849","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T01:16:46.133286Z","signature_b64":"A0FkaTWewqwhRnoJvnxEwy9Ez0qmKw1kh+B2PO5xwltjY9FDbU/Hxg6ZTyafs+lfRxDNIjyHmTEeYmKL8N2EBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1460b2005cb327ae2f6d363917b61a9befb49eaf371b46bda7bddbd5f12af849","last_reissued_at":"2026-07-07T01:16:46.132848Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T01:16:46.132848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.03191","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":"2026-07-07T01:16:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o5TaUU3p2rQyb5MZqx5Yk07VmsVCJKBy8J6+0qF/8uANQ1Zv+dENnVczu2b9hN8ynT50IYgcRpXb+w769X9xDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:29:56.550242Z"},"content_sha256":"2b7bff182719d25461e290d3d9ed336f126a1387f8e451b94029ddcdcc4e4bbb","schema_version":"1.0","event_id":"sha256:2b7bff182719d25461e290d3d9ed336f126a1387f8e451b94029ddcdcc4e4bbb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CRQLEAC4WMT24L3NGY4RPNQ2TP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET"],"primary_cat":"cs.AR","authors_text":"Alessandro Lonardo, Andrea Biagioni, Cristian Rossi, Elena Pastorelli, Francesca Lo Cicero, Francesco Simula, Luca Pontisso, Michele Martinelli, Ottorino Frezza, Piero Vicini, Pierpaolo Perticaroli, Pier Stanislao Paolucci, Roberto Ammendola","submitted_at":"2026-07-03T10:52:38Z","abstract_excerpt":"Spiking neural networks (SNNs) run today on a fragmented landscape of hardware: dedicated neuromorphic processors, application-specific FPGA accelerators, and large-scale neuroscience simulators, each typically built around a fixed neuron model, execution strategy, or workload class. We present AIGOR, a modular, event-driven neuromorphic architecture for spiking neural network inference. AIGOR organizes neurons into timestep-synchronized processing cores that exchange spikes as packets over a packet-switched communication layer, and it is assembled from a library of parameterized compute, memo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03191","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/2607.03191/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":"2026-07-07T01:16:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hvlxUOMQrBui52iczz77i0m84N+KZLYDJr8OCvmuQQpnYa4vABlar0Ak/PUpRENeJAR7qNv4NvRZ82nwIiTDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T01:29:56.550754Z"},"content_sha256":"711effa4f247afcbee723b4b8771294c46ec93a61eff18c807db99933b2b20ad","schema_version":"1.0","event_id":"sha256:711effa4f247afcbee723b4b8771294c46ec93a61eff18c807db99933b2b20ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/bundle.json","state_url":"https://pith.science/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/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":"2026-08-14T01:29:56Z","links":{"resolver":"https://pith.science/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP","bundle":"https://pith.science/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/bundle.json","state":"https://pith.science/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CRQLEAC4WMT24L3NGY4RPNQ2TP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CRQLEAC4WMT24L3NGY4RPNQ2TP","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":"76d3ce99f747bab568e0d6d9a66412ab742a8bdcb2f6894f9cf01af58f841ddd","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-03T10:52:38Z","title_canon_sha256":"54ef5a9420ff2e83875ef6c256d0d51f7d629a0b907c86e0b718275e18ceb78b"},"schema_version":"1.0","source":{"id":"2607.03191","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03191","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03191v1","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03191","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_12","alias_value":"CRQLEAC4WMT2","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_16","alias_value":"CRQLEAC4WMT24L3N","created_at":"2026-07-07T01:16:46Z"},{"alias_kind":"pith_short_8","alias_value":"CRQLEAC4","created_at":"2026-07-07T01:16:46Z"}],"graph_snapshots":[{"event_id":"sha256:711effa4f247afcbee723b4b8771294c46ec93a61eff18c807db99933b2b20ad","target":"graph","created_at":"2026-07-07T01:16:46Z","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/2607.03191/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking neural networks (SNNs) run today on a fragmented landscape of hardware: dedicated neuromorphic processors, application-specific FPGA accelerators, and large-scale neuroscience simulators, each typically built around a fixed neuron model, execution strategy, or workload class. We present AIGOR, a modular, event-driven neuromorphic architecture for spiking neural network inference. AIGOR organizes neurons into timestep-synchronized processing cores that exchange spikes as packets over a packet-switched communication layer, and it is assembled from a library of parameterized compute, memo","authors_text":"Alessandro Lonardo, Andrea Biagioni, Cristian Rossi, Elena Pastorelli, Francesca Lo Cicero, Francesco Simula, Luca Pontisso, Michele Martinelli, Ottorino Frezza, Piero Vicini, Pierpaolo Perticaroli, Pier Stanislao Paolucci, Roberto Ammendola","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-03T10:52:38Z","title":"AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03191","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":"sha256:2b7bff182719d25461e290d3d9ed336f126a1387f8e451b94029ddcdcc4e4bbb","target":"record","created_at":"2026-07-07T01:16:46Z","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":"76d3ce99f747bab568e0d6d9a66412ab742a8bdcb2f6894f9cf01af58f841ddd","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2026-07-03T10:52:38Z","title_canon_sha256":"54ef5a9420ff2e83875ef6c256d0d51f7d629a0b907c86e0b718275e18ceb78b"},"schema_version":"1.0","source":{"id":"2607.03191","kind":"arxiv","version":1}},"canonical_sha256":"1460b2005cb327ae2f6d363917b61a9befb49eaf371b46bda7bddbd5f12af849","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1460b2005cb327ae2f6d363917b61a9befb49eaf371b46bda7bddbd5f12af849","first_computed_at":"2026-07-07T01:16:46.132848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T01:16:46.132848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A0FkaTWewqwhRnoJvnxEwy9Ez0qmKw1kh+B2PO5xwltjY9FDbU/Hxg6ZTyafs+lfRxDNIjyHmTEeYmKL8N2EBQ==","signature_status":"signed_v1","signed_at":"2026-07-07T01:16:46.133286Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03191","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b7bff182719d25461e290d3d9ed336f126a1387f8e451b94029ddcdcc4e4bbb","sha256:711effa4f247afcbee723b4b8771294c46ec93a61eff18c807db99933b2b20ad"],"state_sha256":"6c5278e4be15ccb044c448306ca2144779b47f4c3056540ced159bacbfb73f7d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"msnsUMlHzSxw5m52tsvdSRB88j7m3958rAN3buyCKzcNNgBhuccir8H7j1QDJannxZObZ8+oNnxNhsprYUGaCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T01:29:56.555838Z","bundle_sha256":"881afaad0dc9c5d53a5adf9ac6450a0e222550d1f4daea01ea63f11bcb9d4fe4"}}