{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VEDL4ZN4PLW7AHVZREGWJOK5KA","short_pith_number":"pith:VEDL4ZN4","canonical_record":{"source":{"id":"2505.04165","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-05-07T06:34:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6e2970e8d79dca90240e3140c2c3dd59130c4e6ed830ec6a84d7e9b50a0ab2dd","abstract_canon_sha256":"d6d15952491c762c16d5230febcfde0bc70dd81ad562bb43d3325ef627823a06"},"schema_version":"1.0"},"canonical_sha256":"a906be65bc7aedf01eb9890d64b95d5018f1f2d41c62d4b54de5ae35823ccecd","source":{"kind":"arxiv","id":"2505.04165","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04165","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04165v5","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04165","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_12","alias_value":"VEDL4ZN4PLW7","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_16","alias_value":"VEDL4ZN4PLW7AHVZ","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_8","alias_value":"VEDL4ZN4","created_at":"2026-07-05T11:35:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VEDL4ZN4PLW7AHVZREGWJOK5KA","target":"record","payload":{"canonical_record":{"source":{"id":"2505.04165","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-05-07T06:34:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6e2970e8d79dca90240e3140c2c3dd59130c4e6ed830ec6a84d7e9b50a0ab2dd","abstract_canon_sha256":"d6d15952491c762c16d5230febcfde0bc70dd81ad562bb43d3325ef627823a06"},"schema_version":"1.0"},"canonical_sha256":"a906be65bc7aedf01eb9890d64b95d5018f1f2d41c62d4b54de5ae35823ccecd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:35.080203Z","signature_b64":"tTsDLeuqnr+KFj8SyPf0xnjMZo+iVa9MCW8wpdjb2bE2Itjtw0yaFYV4jgFGg92iuZidix+unDOrIPhyWYZvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a906be65bc7aedf01eb9890d64b95d5018f1f2d41c62d4b54de5ae35823ccecd","last_reissued_at":"2026-07-05T11:35:35.079720Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:35.079720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.04165","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:35:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0ePM73F94MFPRdyEJw9gwbJh1uYTXGvY7uVi0n8z2OYbzOCKa6u4gLr5yQtFVuIrwEFKeSErGcEmh771RfsiCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:54:17.867406Z"},"content_sha256":"e64b9199b34019b854fc50be6730b0c52b83bf8602ef1fc7937bbac26428ffa7","schema_version":"1.0","event_id":"sha256:e64b9199b34019b854fc50be6730b0c52b83bf8602ef1fc7937bbac26428ffa7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VEDL4ZN4PLW7AHVZREGWJOK5KA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TS-SNN: Temporal Shift Module for Spiking Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Gang Pan, Hongwei Wang, Kairong Yu, Qi Xu, Tianqing Zhang","submitted_at":"2025-05-07T06:34:34Z","abstract_excerpt":"Spiking Neural Networks (SNNs) are increasingly recognized for their biological plausibility and energy efficiency, positioning them as strong alternatives to Artificial Neural Networks (ANNs) in neuromorphic computing applications. SNNs inherently process temporal information by leveraging the precise timing of spikes, but balancing temporal feature utilization with low energy consumption remains a challenge. In this work, we introduce Temporal Shift module for Spiking Neural Networks (TS-SNN), which incorporates a novel Temporal Shift (TS) module to integrate past, present, and future spike "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04165","kind":"arxiv","version":5},"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/2505.04165/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":"2026-07-05T11:35:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SwHlfawBjaSGsjTlDb1f6rycppyRri9bUpBGjEXiIh9C9VxwjaPaG7cIgpw9ziLd9Y9I0fa6WYjwvKRr3ILgAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:54:17.867909Z"},"content_sha256":"afedaa7554337b7db3b23f7807cf73df10d67f1ee78b6ede373cabf773b185ad","schema_version":"1.0","event_id":"sha256:afedaa7554337b7db3b23f7807cf73df10d67f1ee78b6ede373cabf773b185ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/bundle.json","state_url":"https://pith.science/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/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":"2026-08-10T02:54:17Z","links":{"resolver":"https://pith.science/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA","bundle":"https://pith.science/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/bundle.json","state":"https://pith.science/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VEDL4ZN4PLW7AHVZREGWJOK5KA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VEDL4ZN4PLW7AHVZREGWJOK5KA","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":"d6d15952491c762c16d5230febcfde0bc70dd81ad562bb43d3325ef627823a06","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-05-07T06:34:34Z","title_canon_sha256":"6e2970e8d79dca90240e3140c2c3dd59130c4e6ed830ec6a84d7e9b50a0ab2dd"},"schema_version":"1.0","source":{"id":"2505.04165","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04165","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04165v5","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04165","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_12","alias_value":"VEDL4ZN4PLW7","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_16","alias_value":"VEDL4ZN4PLW7AHVZ","created_at":"2026-07-05T11:35:35Z"},{"alias_kind":"pith_short_8","alias_value":"VEDL4ZN4","created_at":"2026-07-05T11:35:35Z"}],"graph_snapshots":[{"event_id":"sha256:afedaa7554337b7db3b23f7807cf73df10d67f1ee78b6ede373cabf773b185ad","target":"graph","created_at":"2026-07-05T11:35:35Z","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/2505.04165/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking Neural Networks (SNNs) are increasingly recognized for their biological plausibility and energy efficiency, positioning them as strong alternatives to Artificial Neural Networks (ANNs) in neuromorphic computing applications. SNNs inherently process temporal information by leveraging the precise timing of spikes, but balancing temporal feature utilization with low energy consumption remains a challenge. In this work, we introduce Temporal Shift module for Spiking Neural Networks (TS-SNN), which incorporates a novel Temporal Shift (TS) module to integrate past, present, and future spike ","authors_text":"Gang Pan, Hongwei Wang, Kairong Yu, Qi Xu, Tianqing Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-05-07T06:34:34Z","title":"TS-SNN: Temporal Shift Module for Spiking Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04165","kind":"arxiv","version":5},"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:e64b9199b34019b854fc50be6730b0c52b83bf8602ef1fc7937bbac26428ffa7","target":"record","created_at":"2026-07-05T11:35:35Z","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":"d6d15952491c762c16d5230febcfde0bc70dd81ad562bb43d3325ef627823a06","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2025-05-07T06:34:34Z","title_canon_sha256":"6e2970e8d79dca90240e3140c2c3dd59130c4e6ed830ec6a84d7e9b50a0ab2dd"},"schema_version":"1.0","source":{"id":"2505.04165","kind":"arxiv","version":5}},"canonical_sha256":"a906be65bc7aedf01eb9890d64b95d5018f1f2d41c62d4b54de5ae35823ccecd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a906be65bc7aedf01eb9890d64b95d5018f1f2d41c62d4b54de5ae35823ccecd","first_computed_at":"2026-07-05T11:35:35.079720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:35.079720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tTsDLeuqnr+KFj8SyPf0xnjMZo+iVa9MCW8wpdjb2bE2Itjtw0yaFYV4jgFGg92iuZidix+unDOrIPhyWYZvAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:35.080203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04165","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e64b9199b34019b854fc50be6730b0c52b83bf8602ef1fc7937bbac26428ffa7","sha256:afedaa7554337b7db3b23f7807cf73df10d67f1ee78b6ede373cabf773b185ad"],"state_sha256":"c3ea87ded3fb04bb59daa8ddbb7dfbac819c91211cb06ba201fe2805df416182"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"si2z/RmheRKcQHc4+NGNqSeCodYhQ8wVD1Y73YZl0Ejzj9aOGPQZ2Jgw8Ng4P4g9dg3yCAA/uKwOdWnOHz9TAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:54:17.871560Z","bundle_sha256":"e64679efb0588ee68d3b54f6f5046ffec365b6828281b613c635bce26eae8200"}}