{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LIANHA52KJPNRG7L4BZTUWCJ6X","short_pith_number":"pith:LIANHA52","canonical_record":{"source":{"id":"2409.19764","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-29T20:29:39Z","cross_cats_sorted":[],"title_canon_sha256":"405a2573a7a922cbd92645b1371758575683423ddb5203b2b722da8a9b631a3b","abstract_canon_sha256":"ea14f0f2e298b59fc7443e4d5651bda21eeb297de97ea81eac9879bf946b743c"},"schema_version":"1.0"},"canonical_sha256":"5a00d383ba525ed89bebe0733a5849f5ff8b50b4194af3f4b170fb80c0eb92e3","source":{"kind":"arxiv","id":"2409.19764","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19764","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19764v3","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19764","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"LIANHA52KJPN","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"LIANHA52KJPNRG7L","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"LIANHA52","created_at":"2026-07-05T10:22:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LIANHA52KJPNRG7L4BZTUWCJ6X","target":"record","payload":{"canonical_record":{"source":{"id":"2409.19764","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-29T20:29:39Z","cross_cats_sorted":[],"title_canon_sha256":"405a2573a7a922cbd92645b1371758575683423ddb5203b2b722da8a9b631a3b","abstract_canon_sha256":"ea14f0f2e298b59fc7443e4d5651bda21eeb297de97ea81eac9879bf946b743c"},"schema_version":"1.0"},"canonical_sha256":"5a00d383ba525ed89bebe0733a5849f5ff8b50b4194af3f4b170fb80c0eb92e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:50.793199Z","signature_b64":"sgQktWfMlEq4RByrMUBkJLFrq87WPUW6debIQNFYQjZzIavkQhzzUlGo3Ka6N/g+w1XAxIhjU8p0dTwm/aV8Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a00d383ba525ed89bebe0733a5849f5ff8b50b4194af3f4b170fb80c0eb92e3","last_reissued_at":"2026-07-05T10:22:50.792440Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:50.792440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.19764","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":"2026-07-05T10:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QE4HN4hgZ5aSP7s2vm4K827uesnmFdd25GcLyjcNcP7UlxoTviUrRu2pnsFGQ5/BP8pduJaxxm9yeactmAZUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:19:01.926887Z"},"content_sha256":"ebb9ae1a7be8c3962967b8c45324599523d0222dd6584dc6b90352314b1489db","schema_version":"1.0","event_id":"sha256:ebb9ae1a7be8c3962967b8c45324599523d0222dd6584dc6b90352314b1489db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LIANHA52KJPNRG7L4BZTUWCJ6X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spiking Transformer with Spatial-Temporal Attention","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Donghyun Lee, Priyadarshini Panda, Shiting Xiao, Youngeun Kim, Yuhang Li","submitted_at":"2024-09-29T20:29:39Z","abstract_excerpt":"Spike-based Transformer presents a compelling and energy-efficient alternative to traditional Artificial Neural Network (ANN)-based Transformers, achieving impressive results through sparse binary computations. However, existing spike-based transformers predominantly focus on spatial attention while neglecting crucial temporal dependencies inherent in spike-based processing, leading to suboptimal feature representation and limited performance. To address this limitation, we propose Spiking Transformer with Spatial-Temporal Attention (STAtten), a simple and straightforward architecture that eff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19764","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/2409.19764/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":"2026-07-05T10:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DLtlMkC9MC7QgQnzOxRBgGcgCO5O2RUj/g1F7CjPNbz5mpH0N7o6/Dk7vJZuU6lSQYVXUDQvkbxX4KI9Vv/YBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:19:01.932114Z"},"content_sha256":"acba1b7df71f0265561ca1c1d16975fa2b4df0022903852b84822a9b5da4463f","schema_version":"1.0","event_id":"sha256:acba1b7df71f0265561ca1c1d16975fa2b4df0022903852b84822a9b5da4463f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/bundle.json","state_url":"https://pith.science/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/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":"2026-08-17T16:19:01Z","links":{"resolver":"https://pith.science/pith/LIANHA52KJPNRG7L4BZTUWCJ6X","bundle":"https://pith.science/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/bundle.json","state":"https://pith.science/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LIANHA52KJPNRG7L4BZTUWCJ6X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LIANHA52KJPNRG7L4BZTUWCJ6X","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":"ea14f0f2e298b59fc7443e4d5651bda21eeb297de97ea81eac9879bf946b743c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-29T20:29:39Z","title_canon_sha256":"405a2573a7a922cbd92645b1371758575683423ddb5203b2b722da8a9b631a3b"},"schema_version":"1.0","source":{"id":"2409.19764","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19764","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19764v3","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19764","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"LIANHA52KJPN","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"LIANHA52KJPNRG7L","created_at":"2026-07-05T10:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"LIANHA52","created_at":"2026-07-05T10:22:50Z"}],"graph_snapshots":[{"event_id":"sha256:acba1b7df71f0265561ca1c1d16975fa2b4df0022903852b84822a9b5da4463f","target":"graph","created_at":"2026-07-05T10:22:50Z","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/2409.19764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spike-based Transformer presents a compelling and energy-efficient alternative to traditional Artificial Neural Network (ANN)-based Transformers, achieving impressive results through sparse binary computations. However, existing spike-based transformers predominantly focus on spatial attention while neglecting crucial temporal dependencies inherent in spike-based processing, leading to suboptimal feature representation and limited performance. To address this limitation, we propose Spiking Transformer with Spatial-Temporal Attention (STAtten), a simple and straightforward architecture that eff","authors_text":"Donghyun Lee, Priyadarshini Panda, Shiting Xiao, Youngeun Kim, Yuhang Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-29T20:29:39Z","title":"Spiking Transformer with Spatial-Temporal Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19764","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:ebb9ae1a7be8c3962967b8c45324599523d0222dd6584dc6b90352314b1489db","target":"record","created_at":"2026-07-05T10:22:50Z","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":"ea14f0f2e298b59fc7443e4d5651bda21eeb297de97ea81eac9879bf946b743c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.NE","submitted_at":"2024-09-29T20:29:39Z","title_canon_sha256":"405a2573a7a922cbd92645b1371758575683423ddb5203b2b722da8a9b631a3b"},"schema_version":"1.0","source":{"id":"2409.19764","kind":"arxiv","version":3}},"canonical_sha256":"5a00d383ba525ed89bebe0733a5849f5ff8b50b4194af3f4b170fb80c0eb92e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a00d383ba525ed89bebe0733a5849f5ff8b50b4194af3f4b170fb80c0eb92e3","first_computed_at":"2026-07-05T10:22:50.792440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:50.792440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sgQktWfMlEq4RByrMUBkJLFrq87WPUW6debIQNFYQjZzIavkQhzzUlGo3Ka6N/g+w1XAxIhjU8p0dTwm/aV8Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:50.793199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19764","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebb9ae1a7be8c3962967b8c45324599523d0222dd6584dc6b90352314b1489db","sha256:acba1b7df71f0265561ca1c1d16975fa2b4df0022903852b84822a9b5da4463f"],"state_sha256":"b63a2374484d3fa851573ace670dcef5454747bd1eaaca419a560a139cd957b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"igkb5Fx7NmQ1o3TRHOQdwUI/ebnODTAR2/rAukQPK4UwigAM35RgYVMylKLH3TapRg52ulDEBDym7Lv+PDkJDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T16:19:01.998168Z","bundle_sha256":"b362879dfb89b32f0edee5b9c3a909990218103a0352e5187ee8eb833ba45570"}}