{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RSTTIYTCWH5ZD7EFCQPJ7R3MSI","short_pith_number":"pith:RSTTIYTC","canonical_record":{"source":{"id":"2601.14961","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-21T13:05:34Z","cross_cats_sorted":[],"title_canon_sha256":"263a1639172551180c32cdd08e7dc2d6c8f29813087f18d099eec32799828252","abstract_canon_sha256":"480e421ec23028fa60a2defe1257a0d4b07c5b0e1c838e77a6e85f87a937b796"},"schema_version":"1.0"},"canonical_sha256":"8ca7346262b1fb91fc85141e9fc76c9227f3c8d1da759973224ff285f68fa2a4","source":{"kind":"arxiv","id":"2601.14961","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.14961","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"arxiv_version","alias_value":"2601.14961v2","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.14961","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_12","alias_value":"RSTTIYTCWH5Z","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_16","alias_value":"RSTTIYTCWH5ZD7EF","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_8","alias_value":"RSTTIYTC","created_at":"2026-06-26T01:15:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RSTTIYTCWH5ZD7EFCQPJ7R3MSI","target":"record","payload":{"canonical_record":{"source":{"id":"2601.14961","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-21T13:05:34Z","cross_cats_sorted":[],"title_canon_sha256":"263a1639172551180c32cdd08e7dc2d6c8f29813087f18d099eec32799828252","abstract_canon_sha256":"480e421ec23028fa60a2defe1257a0d4b07c5b0e1c838e77a6e85f87a937b796"},"schema_version":"1.0"},"canonical_sha256":"8ca7346262b1fb91fc85141e9fc76c9227f3c8d1da759973224ff285f68fa2a4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-26T01:15:48.633057Z","signature_b64":"m075rZxWtDTuq1CCvSHz0+ZlpGM9Az0rVncJJSaf19d3vlV5dTgx+KkG+WnhbjbOVg45wgpUeHPE1aIpl5JvDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ca7346262b1fb91fc85141e9fc76c9227f3c8d1da759973224ff285f68fa2a4","last_reissued_at":"2026-06-26T01:15:48.632565Z","signature_status":"signed_v1","first_computed_at":"2026-06-26T01:15:48.632565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.14961","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-26T01:15:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5rYeeGq+s2Qmc9+f0J2DSxE2ooX4gVDUKrXfPn1cXhBIQFgd80EAuH6GwDw/2zaNYp2D5VoHsKGdLhsttfDsBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T08:13:45.267638Z"},"content_sha256":"241beeb54b4fc72d9daffec800a5f1474f9fe1a0564f7a9334153b654e51b825","schema_version":"1.0","event_id":"sha256:241beeb54b4fc72d9daffec800a5f1474f9fe1a0564f7a9334153b654e51b825"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RSTTIYTCWH5ZD7EFCQPJ7R3MSI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Cong Han, Wenjun Xia, Zhengdi Zhang","submitted_at":"2026-01-21T13:05:34Z","abstract_excerpt":"This paper investigates the classification capability of small-scale spiking neural networks based on the Leaky Integrate-and-Fire (LIF) neuron model. We analyze the relationship between classification accuracy and three factors: the number of neurons, the number of stimulus nodes, and the number of classification categories. Notably, we employ a large language model (LLM) to assist in discovering the underlying functional relationships among these variables, and compare its performance against traditional methods such as linear and polynomial fitting. Experimental results show that classifica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.14961","kind":"arxiv","version":2},"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/2601.14961/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":"2026-06-26T01:15:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GPWo39ajj1CDM35evjMFB6Bm5OUAhRq5oRGQrIIuiJ1iOG/GAmkFVPOj3opNJzrryrgqgYZoQpoyVc0i/431Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T08:13:45.268013Z"},"content_sha256":"93bb634001a687f56a6e0582f35de3bf0dac855533371b2a547615c2d21fde92","schema_version":"1.0","event_id":"sha256:93bb634001a687f56a6e0582f35de3bf0dac855533371b2a547615c2d21fde92"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/bundle.json","state_url":"https://pith.science/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/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":"2026-07-05T08:13:45Z","links":{"resolver":"https://pith.science/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI","bundle":"https://pith.science/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/bundle.json","state":"https://pith.science/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RSTTIYTCWH5ZD7EFCQPJ7R3MSI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RSTTIYTCWH5ZD7EFCQPJ7R3MSI","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":"480e421ec23028fa60a2defe1257a0d4b07c5b0e1c838e77a6e85f87a937b796","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-21T13:05:34Z","title_canon_sha256":"263a1639172551180c32cdd08e7dc2d6c8f29813087f18d099eec32799828252"},"schema_version":"1.0","source":{"id":"2601.14961","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.14961","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"arxiv_version","alias_value":"2601.14961v2","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.14961","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_12","alias_value":"RSTTIYTCWH5Z","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_16","alias_value":"RSTTIYTCWH5ZD7EF","created_at":"2026-06-26T01:15:48Z"},{"alias_kind":"pith_short_8","alias_value":"RSTTIYTC","created_at":"2026-06-26T01:15:48Z"}],"graph_snapshots":[{"event_id":"sha256:93bb634001a687f56a6e0582f35de3bf0dac855533371b2a547615c2d21fde92","target":"graph","created_at":"2026-06-26T01:15:48Z","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/2601.14961/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates the classification capability of small-scale spiking neural networks based on the Leaky Integrate-and-Fire (LIF) neuron model. We analyze the relationship between classification accuracy and three factors: the number of neurons, the number of stimulus nodes, and the number of classification categories. Notably, we employ a large language model (LLM) to assist in discovering the underlying functional relationships among these variables, and compare its performance against traditional methods such as linear and polynomial fitting. Experimental results show that classifica","authors_text":"Cong Han, Wenjun Xia, Zhengdi Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-21T13:05:34Z","title":"Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.14961","kind":"arxiv","version":2},"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":"sha256:241beeb54b4fc72d9daffec800a5f1474f9fe1a0564f7a9334153b654e51b825","target":"record","created_at":"2026-06-26T01:15:48Z","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":"480e421ec23028fa60a2defe1257a0d4b07c5b0e1c838e77a6e85f87a937b796","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-21T13:05:34Z","title_canon_sha256":"263a1639172551180c32cdd08e7dc2d6c8f29813087f18d099eec32799828252"},"schema_version":"1.0","source":{"id":"2601.14961","kind":"arxiv","version":2}},"canonical_sha256":"8ca7346262b1fb91fc85141e9fc76c9227f3c8d1da759973224ff285f68fa2a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ca7346262b1fb91fc85141e9fc76c9227f3c8d1da759973224ff285f68fa2a4","first_computed_at":"2026-06-26T01:15:48.632565Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:48.632565Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m075rZxWtDTuq1CCvSHz0+ZlpGM9Az0rVncJJSaf19d3vlV5dTgx+KkG+WnhbjbOVg45wgpUeHPE1aIpl5JvDQ==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:48.633057Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.14961","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:241beeb54b4fc72d9daffec800a5f1474f9fe1a0564f7a9334153b654e51b825","sha256:93bb634001a687f56a6e0582f35de3bf0dac855533371b2a547615c2d21fde92"],"state_sha256":"231f5ebf169e725d97a80e8da1ffd990f5ba1915d516d6b48fd45820842b0b17"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BcXTBXWfNi5Or77zcNhy6XdGQqkjlApUdPliLnVSh1W8tSWD1GXieLwE2AjvlCl4ITYak8NLfBms9erFq50BBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T08:13:45.270224Z","bundle_sha256":"86ec2105b9b89561b6b4e678c3798dd50e528525ecae01b8a63fb6a9be3e9f09"}}