{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BZUEX7FXQ3ZUXOPZCYMUXMTD2X","short_pith_number":"pith:BZUEX7FX","canonical_record":{"source":{"id":"2505.19938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T13:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"7a9bed2a4a5da1311b4bd7fefd63a23aa9193f7c19426f65750277d8dc5d387a","abstract_canon_sha256":"602f49b974be8a88157d86214b5eccfc7c3a29a19cc7650be2f0b88a72959afd"},"schema_version":"1.0"},"canonical_sha256":"0e684bfcb786f34bb9f916194bb263d5de5aef3893df00157d704fa9e1293b1b","source":{"kind":"arxiv","id":"2505.19938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19938","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19938v1","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19938","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_12","alias_value":"BZUEX7FXQ3ZU","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_16","alias_value":"BZUEX7FXQ3ZUXOPZ","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_8","alias_value":"BZUEX7FX","created_at":"2026-07-05T11:09:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BZUEX7FXQ3ZUXOPZCYMUXMTD2X","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T13:06:01Z","cross_cats_sorted":[],"title_canon_sha256":"7a9bed2a4a5da1311b4bd7fefd63a23aa9193f7c19426f65750277d8dc5d387a","abstract_canon_sha256":"602f49b974be8a88157d86214b5eccfc7c3a29a19cc7650be2f0b88a72959afd"},"schema_version":"1.0"},"canonical_sha256":"0e684bfcb786f34bb9f916194bb263d5de5aef3893df00157d704fa9e1293b1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:50.141893Z","signature_b64":"iidTrXR0MaS+sRD+rrAEkGBwa3Vk2IK9eVPeC8d88H+cD8GHgxG104w206DhRaZ5m8nbYU+utNjodE2hxzzcCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e684bfcb786f34bb9f916194bb263d5de5aef3893df00157d704fa9e1293b1b","last_reissued_at":"2026-07-05T11:09:50.141363Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:50.141363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19938","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L0cp60Ivx/rPd1p+pusijSm0GhZ09eOw4St2oEwW8iaEKFE0yyEC8k/SZH++GiOjmkUcyIsk2+oE2X7cW8goCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:33:15.817117Z"},"content_sha256":"89333805d310a83936fbbb29c8e63a3908ac4fa8ad33057fdaef9d7936e6efec","schema_version":"1.0","event_id":"sha256:89333805d310a83936fbbb29c8e63a3908ac4fa8ad33057fdaef9d7936e6efec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BZUEX7FXQ3ZUXOPZCYMUXMTD2X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Penghong Wang, Wangmeng Zuo, Wenrui Li, Xiaopeng Fan, Xingtao Wang, Yonghong Tian","submitted_at":"2025-05-26T13:06:01Z","abstract_excerpt":"Audio-visual zero-shot learning (ZSL) has been extensively researched for its capability to classify video data from unseen classes during training. Nevertheless, current methodologies often struggle with background scene biases and inadequate motion detail. This paper proposes a novel dual-stream Multi-Timescale Motion-Decoupled Spiking Transformer (MDST++), which decouples contextual semantic information and sparse dynamic motion information. The recurrent joint learning unit is proposed to extract contextual semantic information and capture joint knowledge across various modalities to under"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19938","kind":"arxiv","version":1},"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/2505.19938/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":"2026-07-05T11:09:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zKlpLdGz1+XBcKhLeqWaFDzVlMQZBRE9RcVMQvZZU/qs9IoisaJ1XQ+XBq1pilZ0favJrBLyOSuYQwL0u91TBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:33:15.817524Z"},"content_sha256":"73a5cb545bc144db15ecc35cb276c75ad7075ffa03a48e11dc8fa510c7db2deb","schema_version":"1.0","event_id":"sha256:73a5cb545bc144db15ecc35cb276c75ad7075ffa03a48e11dc8fa510c7db2deb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/bundle.json","state_url":"https://pith.science/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/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":"2026-07-07T11:33:15Z","links":{"resolver":"https://pith.science/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X","bundle":"https://pith.science/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/bundle.json","state":"https://pith.science/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BZUEX7FXQ3ZUXOPZCYMUXMTD2X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BZUEX7FXQ3ZUXOPZCYMUXMTD2X","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":"602f49b974be8a88157d86214b5eccfc7c3a29a19cc7650be2f0b88a72959afd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T13:06:01Z","title_canon_sha256":"7a9bed2a4a5da1311b4bd7fefd63a23aa9193f7c19426f65750277d8dc5d387a"},"schema_version":"1.0","source":{"id":"2505.19938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19938","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19938v1","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19938","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_12","alias_value":"BZUEX7FXQ3ZU","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_16","alias_value":"BZUEX7FXQ3ZUXOPZ","created_at":"2026-07-05T11:09:50Z"},{"alias_kind":"pith_short_8","alias_value":"BZUEX7FX","created_at":"2026-07-05T11:09:50Z"}],"graph_snapshots":[{"event_id":"sha256:73a5cb545bc144db15ecc35cb276c75ad7075ffa03a48e11dc8fa510c7db2deb","target":"graph","created_at":"2026-07-05T11:09:50Z","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/2505.19938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Audio-visual zero-shot learning (ZSL) has been extensively researched for its capability to classify video data from unseen classes during training. Nevertheless, current methodologies often struggle with background scene biases and inadequate motion detail. This paper proposes a novel dual-stream Multi-Timescale Motion-Decoupled Spiking Transformer (MDST++), which decouples contextual semantic information and sparse dynamic motion information. The recurrent joint learning unit is proposed to extract contextual semantic information and capture joint knowledge across various modalities to under","authors_text":"Penghong Wang, Wangmeng Zuo, Wenrui Li, Xiaopeng Fan, Xingtao Wang, Yonghong Tian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T13:06:01Z","title":"Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19938","kind":"arxiv","version":1},"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":"sha256:89333805d310a83936fbbb29c8e63a3908ac4fa8ad33057fdaef9d7936e6efec","target":"record","created_at":"2026-07-05T11:09:50Z","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":"602f49b974be8a88157d86214b5eccfc7c3a29a19cc7650be2f0b88a72959afd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T13:06:01Z","title_canon_sha256":"7a9bed2a4a5da1311b4bd7fefd63a23aa9193f7c19426f65750277d8dc5d387a"},"schema_version":"1.0","source":{"id":"2505.19938","kind":"arxiv","version":1}},"canonical_sha256":"0e684bfcb786f34bb9f916194bb263d5de5aef3893df00157d704fa9e1293b1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e684bfcb786f34bb9f916194bb263d5de5aef3893df00157d704fa9e1293b1b","first_computed_at":"2026-07-05T11:09:50.141363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:50.141363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iidTrXR0MaS+sRD+rrAEkGBwa3Vk2IK9eVPeC8d88H+cD8GHgxG104w206DhRaZ5m8nbYU+utNjodE2hxzzcCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:50.141893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89333805d310a83936fbbb29c8e63a3908ac4fa8ad33057fdaef9d7936e6efec","sha256:73a5cb545bc144db15ecc35cb276c75ad7075ffa03a48e11dc8fa510c7db2deb"],"state_sha256":"e3aa793673f5d41a0ac839440aba473b94fa2e18229bf4f95612b1b4452088ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0AF2ng7xPGsLrW/ofjoBw49YL1zyNsErTvNu9YRZkYFCVqxSPw7bDuwhhCeEnj0oLn7eI2gKlRwqXm2OoyowAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:33:15.819835Z","bundle_sha256":"631606f36fd746e5368051cb78de0fc012113092d8848134a2081e147c39d2cb"}}