{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6CJXO3WDDIW3MDOZYNYFHLCJDA","short_pith_number":"pith:6CJXO3WD","canonical_record":{"source":{"id":"2412.13902","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:42:43Z","cross_cats_sorted":[],"title_canon_sha256":"34b32245e816b087f69572bd3343b8b678716647939202931da1fac942fd05a0","abstract_canon_sha256":"a1c76e5f15d1181db2ed45f47aab2bb235362401e8c8ccd3c5ea582ffa96accd"},"schema_version":"1.0"},"canonical_sha256":"f093776ec31a2db60dd9c37053ac49183218902059d85ddb55678449d66b10a9","source":{"kind":"arxiv","id":"2412.13902","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13902","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13902v2","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13902","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"6CJXO3WDDIW3","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"6CJXO3WDDIW3MDOZ","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"6CJXO3WD","created_at":"2026-07-05T09:59:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6CJXO3WDDIW3MDOZYNYFHLCJDA","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13902","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:42:43Z","cross_cats_sorted":[],"title_canon_sha256":"34b32245e816b087f69572bd3343b8b678716647939202931da1fac942fd05a0","abstract_canon_sha256":"a1c76e5f15d1181db2ed45f47aab2bb235362401e8c8ccd3c5ea582ffa96accd"},"schema_version":"1.0"},"canonical_sha256":"f093776ec31a2db60dd9c37053ac49183218902059d85ddb55678449d66b10a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:21.560502Z","signature_b64":"gFELC5u4eY3HY3KbH7y8/sN7Pvmev3TNFRW8g0dENS1zjlwqDkGrxXgCRS/FKw0IxgMZD7bGXmfJR5cklpUOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f093776ec31a2db60dd9c37053ac49183218902059d85ddb55678449d66b10a9","last_reissued_at":"2026-07-05T09:59:21.560008Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:21.560008Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13902","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":"2026-07-05T09:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/XOd4kh8PSf5/hkrk5RmxotV4Z/1cLKzAX9Za2LemdZSVU5OUCwfaHUMWY1AGuxHbMHGxaV2M6JF+h6P5jECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:28:26.800995Z"},"content_sha256":"aaed9a0241f022954b346632b31957f76748d508ebc6efb9ab4de7fb2d347e69","schema_version":"1.0","event_id":"sha256:aaed9a0241f022954b346632b31957f76748d508ebc6efb9ab4de7fb2d347e69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6CJXO3WDDIW3MDOZYNYFHLCJDA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jiayu Chen, Peng Zhou, Xiang Chen, Yuanchun Li, Yunxin Liu, Zihao Zheng","submitted_at":"2024-12-18T14:42:43Z","abstract_excerpt":"Enhancing the computational efficiency of on-device Deep Neural Networks (DNNs) remains a significant challengein mobile and edge computing. As we aim to execute increasingly complex tasks with constrained computational resources, much of the research has focused on compressing neural network structures and optimizing systems. Although many studies have focused on compressing neural network structures and parameters or optimizing underlying systems, there has been limited attention on optimizing the fundamental building blocks of neural networks: the neurons. In this study, we deliberate on a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13902","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/2412.13902/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":"2026-07-05T09:59:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GVLOXFEq4xXKt/nNd4SFWXRksmYbZoNFNy+jsFyGgfSWw+/1wGiL18vBV0nmM4KGKlrgjmdd7YJbRsmX6NltBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:28:26.801555Z"},"content_sha256":"5b5e76743c0fe30c6612503b795d25be54bb1aee97ee551a407731a240c56a00","schema_version":"1.0","event_id":"sha256:5b5e76743c0fe30c6612503b795d25be54bb1aee97ee551a407731a240c56a00"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/bundle.json","state_url":"https://pith.science/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/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":"2026-08-18T22:28:26Z","links":{"resolver":"https://pith.science/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA","bundle":"https://pith.science/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/bundle.json","state":"https://pith.science/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6CJXO3WDDIW3MDOZYNYFHLCJDA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6CJXO3WDDIW3MDOZYNYFHLCJDA","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":"a1c76e5f15d1181db2ed45f47aab2bb235362401e8c8ccd3c5ea582ffa96accd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:42:43Z","title_canon_sha256":"34b32245e816b087f69572bd3343b8b678716647939202931da1fac942fd05a0"},"schema_version":"1.0","source":{"id":"2412.13902","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13902","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13902v2","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13902","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_12","alias_value":"6CJXO3WDDIW3","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_16","alias_value":"6CJXO3WDDIW3MDOZ","created_at":"2026-07-05T09:59:21Z"},{"alias_kind":"pith_short_8","alias_value":"6CJXO3WD","created_at":"2026-07-05T09:59:21Z"}],"graph_snapshots":[{"event_id":"sha256:5b5e76743c0fe30c6612503b795d25be54bb1aee97ee551a407731a240c56a00","target":"graph","created_at":"2026-07-05T09:59:21Z","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/2412.13902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Enhancing the computational efficiency of on-device Deep Neural Networks (DNNs) remains a significant challengein mobile and edge computing. As we aim to execute increasingly complex tasks with constrained computational resources, much of the research has focused on compressing neural network structures and optimizing systems. Although many studies have focused on compressing neural network structures and parameters or optimizing underlying systems, there has been limited attention on optimizing the fundamental building blocks of neural networks: the neurons. In this study, we deliberate on a ","authors_text":"Jiayu Chen, Peng Zhou, Xiang Chen, Yuanchun Li, Yunxin Liu, Zihao Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:42:43Z","title":"Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13902","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:aaed9a0241f022954b346632b31957f76748d508ebc6efb9ab4de7fb2d347e69","target":"record","created_at":"2026-07-05T09:59:21Z","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":"a1c76e5f15d1181db2ed45f47aab2bb235362401e8c8ccd3c5ea582ffa96accd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T14:42:43Z","title_canon_sha256":"34b32245e816b087f69572bd3343b8b678716647939202931da1fac942fd05a0"},"schema_version":"1.0","source":{"id":"2412.13902","kind":"arxiv","version":2}},"canonical_sha256":"f093776ec31a2db60dd9c37053ac49183218902059d85ddb55678449d66b10a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f093776ec31a2db60dd9c37053ac49183218902059d85ddb55678449d66b10a9","first_computed_at":"2026-07-05T09:59:21.560008Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:21.560008Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gFELC5u4eY3HY3KbH7y8/sN7Pvmev3TNFRW8g0dENS1zjlwqDkGrxXgCRS/FKw0IxgMZD7bGXmfJR5cklpUOBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:21.560502Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13902","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aaed9a0241f022954b346632b31957f76748d508ebc6efb9ab4de7fb2d347e69","sha256:5b5e76743c0fe30c6612503b795d25be54bb1aee97ee551a407731a240c56a00"],"state_sha256":"26674c0d4de01eca9413cf9bd46900964478e9a239b8a87bc1c81dc00bb34d1c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SBtrQC3OpU3UW2k5O7d6GAMcPEat8duMNp/dLsb5UG9Y3kfVePInWoMHmhqXLwrRi7iyN+dG2X6y99dSdvCjBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:28:26.806584Z","bundle_sha256":"1406ea0b4621e2478706299bdbd779e5c9da9ba1528e5948c59cf1b3f6b68288"}}