{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J2SJB5FD2URWXAD4TIVEJWOELZ","short_pith_number":"pith:J2SJB5FD","canonical_record":{"source":{"id":"2508.00387","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-01T07:30:59Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"14e2408ad981ed7e1cce85f43f1777a41b3ee3af14e0ea82636fbe8e6546ff10","abstract_canon_sha256":"2facb10a02cc25ba23420835b4a468eeda2dcfba45e3da133235de0e7461763e"},"schema_version":"1.0"},"canonical_sha256":"4ea490f4a3d5236b807c9a2a44d9c45e54d659f6b05bb519c7f8acbbc42afbfc","source":{"kind":"arxiv","id":"2508.00387","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00387","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00387v3","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00387","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_12","alias_value":"J2SJB5FD2URW","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_16","alias_value":"J2SJB5FD2URWXAD4","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_8","alias_value":"J2SJB5FD","created_at":"2026-07-05T11:51:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J2SJB5FD2URWXAD4TIVEJWOELZ","target":"record","payload":{"canonical_record":{"source":{"id":"2508.00387","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-01T07:30:59Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"14e2408ad981ed7e1cce85f43f1777a41b3ee3af14e0ea82636fbe8e6546ff10","abstract_canon_sha256":"2facb10a02cc25ba23420835b4a468eeda2dcfba45e3da133235de0e7461763e"},"schema_version":"1.0"},"canonical_sha256":"4ea490f4a3d5236b807c9a2a44d9c45e54d659f6b05bb519c7f8acbbc42afbfc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:33.233269Z","signature_b64":"2ZLAAFyCi+32i4DG2B9+R6sfKnz45a4v6NwLFrZA3lrmau80iSV3fljXIx4SCID+KRCPheA5DM4ylPLVjjE3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ea490f4a3d5236b807c9a2a44d9c45e54d659f6b05bb519c7f8acbbc42afbfc","last_reissued_at":"2026-07-05T11:51:33.232745Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:33.232745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.00387","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":"2026-07-05T11:51:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uEkB2vAj2BdOWGKYzLZE3qa2RlH4z4tOojhCPGmTX6h5Jl7ZORts6s52EzcrWm8neVE1EN4JztlW7zsSDhOGAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:12:29.097015Z"},"content_sha256":"426adf051149499178e285f5022db512ac4ee2c6aa82a7f503221ec1ddafb50b","schema_version":"1.0","event_id":"sha256:426adf051149499178e285f5022db512ac4ee2c6aa82a7f503221ec1ddafb50b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J2SJB5FD2URWXAD4TIVEJWOELZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.NE","authors_text":"Changze Lv, Junfeng Tang, Yanchen Huang, Yaochu Jin, Yingchao Yu, Zeqi Zheng, Zhaofei Yu, Zizheng Zhu","submitted_at":"2025-08-01T07:30:59Z","abstract_excerpt":"Transformer-based Spiking Neural Networks (SNNs) suffer from a great performance gap compared to floating-point \\mbox{Artificial} Neural Networks (ANNs) due to the binary nature of spike trains. Recent efforts have introduced deep-level feedback loops to transmit high-level semantic information to narrow this gap. However, these designs often span \\mbox{multiple} deep layers, resulting in costly feature transformations, higher parameter overhead, increased energy consumption, and longer inference latency. To address this issue, we propose Shallow-level Temporal Feedback (STF), a lightweight pl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00387","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/2508.00387/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":"2026-07-05T11:51:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6QACE2jOIBorZnTsu101z48tzpS2Ymx1LayOZDLwLBfSltMFHGft++8u/ll4z1HLPs6e52H2mgEV40R92laCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:12:29.097514Z"},"content_sha256":"60514a9df66252de9afb068e17c674bfff19ba130dae32032d0875bb4bb22841","schema_version":"1.0","event_id":"sha256:60514a9df66252de9afb068e17c674bfff19ba130dae32032d0875bb4bb22841"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/bundle.json","state_url":"https://pith.science/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/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":"2026-08-08T16:12:29Z","links":{"resolver":"https://pith.science/pith/J2SJB5FD2URWXAD4TIVEJWOELZ","bundle":"https://pith.science/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/bundle.json","state":"https://pith.science/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J2SJB5FD2URWXAD4TIVEJWOELZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J2SJB5FD2URWXAD4TIVEJWOELZ","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":"2facb10a02cc25ba23420835b4a468eeda2dcfba45e3da133235de0e7461763e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-01T07:30:59Z","title_canon_sha256":"14e2408ad981ed7e1cce85f43f1777a41b3ee3af14e0ea82636fbe8e6546ff10"},"schema_version":"1.0","source":{"id":"2508.00387","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.00387","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"arxiv_version","alias_value":"2508.00387v3","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00387","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_12","alias_value":"J2SJB5FD2URW","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_16","alias_value":"J2SJB5FD2URWXAD4","created_at":"2026-07-05T11:51:33Z"},{"alias_kind":"pith_short_8","alias_value":"J2SJB5FD","created_at":"2026-07-05T11:51:33Z"}],"graph_snapshots":[{"event_id":"sha256:60514a9df66252de9afb068e17c674bfff19ba130dae32032d0875bb4bb22841","target":"graph","created_at":"2026-07-05T11:51:33Z","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/2508.00387/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer-based Spiking Neural Networks (SNNs) suffer from a great performance gap compared to floating-point \\mbox{Artificial} Neural Networks (ANNs) due to the binary nature of spike trains. Recent efforts have introduced deep-level feedback loops to transmit high-level semantic information to narrow this gap. However, these designs often span \\mbox{multiple} deep layers, resulting in costly feature transformations, higher parameter overhead, increased energy consumption, and longer inference latency. To address this issue, we propose Shallow-level Temporal Feedback (STF), a lightweight pl","authors_text":"Changze Lv, Junfeng Tang, Yanchen Huang, Yaochu Jin, Yingchao Yu, Zeqi Zheng, Zhaofei Yu, Zizheng Zhu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-01T07:30:59Z","title":"STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00387","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":"sha256:426adf051149499178e285f5022db512ac4ee2c6aa82a7f503221ec1ddafb50b","target":"record","created_at":"2026-07-05T11:51:33Z","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":"2facb10a02cc25ba23420835b4a468eeda2dcfba45e3da133235de0e7461763e","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2025-08-01T07:30:59Z","title_canon_sha256":"14e2408ad981ed7e1cce85f43f1777a41b3ee3af14e0ea82636fbe8e6546ff10"},"schema_version":"1.0","source":{"id":"2508.00387","kind":"arxiv","version":3}},"canonical_sha256":"4ea490f4a3d5236b807c9a2a44d9c45e54d659f6b05bb519c7f8acbbc42afbfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ea490f4a3d5236b807c9a2a44d9c45e54d659f6b05bb519c7f8acbbc42afbfc","first_computed_at":"2026-07-05T11:51:33.232745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:51:33.232745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2ZLAAFyCi+32i4DG2B9+R6sfKnz45a4v6NwLFrZA3lrmau80iSV3fljXIx4SCID+KRCPheA5DM4ylPLVjjE3CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:51:33.233269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.00387","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:426adf051149499178e285f5022db512ac4ee2c6aa82a7f503221ec1ddafb50b","sha256:60514a9df66252de9afb068e17c674bfff19ba130dae32032d0875bb4bb22841"],"state_sha256":"52d639ddf655f7d994e9b34a72d109c792bc63e2eeb468e7ea90c3f52ac2b387"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tmgq2PyZOQy9Ncjm9O4tBgjwGRHOlIT6n+Ah9jSO++T2dro2FatF5BcJTU0Tp+30zv4GYswC9RI+jnI/nPEVCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:12:29.102720Z","bundle_sha256":"99278611b8a09e681b6e45675ea1dd3c936c1be62b08154128c6b0efe4368373"}}