{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:O3SK6OJPDAX7MBEKTKAOX67F5E","short_pith_number":"pith:O3SK6OJP","canonical_record":{"source":{"id":"2507.16624","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T14:17:08Z","cross_cats_sorted":[],"title_canon_sha256":"660f4e5ebda1320b3163e2c7aa97d446ee2d6a09ecf8d6b7583cb8bf48d8df6f","abstract_canon_sha256":"2428c91a3808888a54ff858d60f983ff672e52b974cbcd006537cbfd1700051c"},"schema_version":"1.0"},"canonical_sha256":"76e4af392f182ff6048a9a80ebfbe5e90ed73fd4fa64042dabeaeb3c787bf425","source":{"kind":"arxiv","id":"2507.16624","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16624","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16624v1","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16624","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_12","alias_value":"O3SK6OJPDAX7","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_16","alias_value":"O3SK6OJPDAX7MBEK","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_8","alias_value":"O3SK6OJP","created_at":"2026-07-05T11:41:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:O3SK6OJPDAX7MBEKTKAOX67F5E","target":"record","payload":{"canonical_record":{"source":{"id":"2507.16624","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T14:17:08Z","cross_cats_sorted":[],"title_canon_sha256":"660f4e5ebda1320b3163e2c7aa97d446ee2d6a09ecf8d6b7583cb8bf48d8df6f","abstract_canon_sha256":"2428c91a3808888a54ff858d60f983ff672e52b974cbcd006537cbfd1700051c"},"schema_version":"1.0"},"canonical_sha256":"76e4af392f182ff6048a9a80ebfbe5e90ed73fd4fa64042dabeaeb3c787bf425","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:41:27.863869Z","signature_b64":"MNHpPyk8CvJxW1YN7SEJsC/G/4RYmORkxNCSOei8ertucF/g3tBga+VOmRjaE7JsU3DlJND7flA9zNrbnrujAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76e4af392f182ff6048a9a80ebfbe5e90ed73fd4fa64042dabeaeb3c787bf425","last_reissued_at":"2026-07-05T11:41:27.863378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:41:27.863378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.16624","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":"2026-07-05T11:41:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7RtsbJms/S0cpxH92vhvG8qlgDmOGh55dcygbBv4GMLA2Q67f90FDtjJg+3NcuW49bc9mS64oXdS1X0oi+5HDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:24.580480Z"},"content_sha256":"183749a046a3b15455f5b03369cf6b30967559a031f0dec4f40b85b7adcf73dc","schema_version":"1.0","event_id":"sha256:183749a046a3b15455f5b03369cf6b30967559a031f0dec4f40b85b7adcf73dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:O3SK6OJPDAX7MBEKTKAOX67F5E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A2Mamba: Attention-augmented State Space Models for Visual Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Meng Lou, Yizhou Yu, Yunxiang Fu","submitted_at":"2025-07-22T14:17:08Z","abstract_excerpt":"Transformers and Mamba, initially invented for natural language processing, have inspired backbone architectures for visual recognition. Recent studies integrated Local Attention Transformers with Mamba to capture both local details and global contexts. Despite competitive performance, these methods are limited to simple stacking of Transformer and Mamba layers without any interaction mechanism between them. Thus, deep integration between Transformer and Mamba layers remains an open problem. We address this problem by proposing A2Mamba, a powerful Transformer-Mamba hybrid network architecture,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16624","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/2507.16624/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":"2026-07-05T11:41:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ek3Z+3oW9hQXvny6yPcuTavHJzK0iUDJcn1xpq14jal7NxJ9waNDTHyiPinS3r67LccnGZiHN4eIGs2nyNPYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:10:24.581074Z"},"content_sha256":"d709f6364f484c89bbaa5be91ab583063eb36ed357c68d170e97eb4c62802d06","schema_version":"1.0","event_id":"sha256:d709f6364f484c89bbaa5be91ab583063eb36ed357c68d170e97eb4c62802d06"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/bundle.json","state_url":"https://pith.science/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/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":"2026-08-07T17:10:24Z","links":{"resolver":"https://pith.science/pith/O3SK6OJPDAX7MBEKTKAOX67F5E","bundle":"https://pith.science/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/bundle.json","state":"https://pith.science/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O3SK6OJPDAX7MBEKTKAOX67F5E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:O3SK6OJPDAX7MBEKTKAOX67F5E","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":"2428c91a3808888a54ff858d60f983ff672e52b974cbcd006537cbfd1700051c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T14:17:08Z","title_canon_sha256":"660f4e5ebda1320b3163e2c7aa97d446ee2d6a09ecf8d6b7583cb8bf48d8df6f"},"schema_version":"1.0","source":{"id":"2507.16624","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16624","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16624v1","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16624","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_12","alias_value":"O3SK6OJPDAX7","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_16","alias_value":"O3SK6OJPDAX7MBEK","created_at":"2026-07-05T11:41:27Z"},{"alias_kind":"pith_short_8","alias_value":"O3SK6OJP","created_at":"2026-07-05T11:41:27Z"}],"graph_snapshots":[{"event_id":"sha256:d709f6364f484c89bbaa5be91ab583063eb36ed357c68d170e97eb4c62802d06","target":"graph","created_at":"2026-07-05T11:41:27Z","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/2507.16624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers and Mamba, initially invented for natural language processing, have inspired backbone architectures for visual recognition. Recent studies integrated Local Attention Transformers with Mamba to capture both local details and global contexts. Despite competitive performance, these methods are limited to simple stacking of Transformer and Mamba layers without any interaction mechanism between them. Thus, deep integration between Transformer and Mamba layers remains an open problem. We address this problem by proposing A2Mamba, a powerful Transformer-Mamba hybrid network architecture,","authors_text":"Meng Lou, Yizhou Yu, Yunxiang Fu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T14:17:08Z","title":"A2Mamba: Attention-augmented State Space Models for Visual Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16624","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":"sha256:183749a046a3b15455f5b03369cf6b30967559a031f0dec4f40b85b7adcf73dc","target":"record","created_at":"2026-07-05T11:41:27Z","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":"2428c91a3808888a54ff858d60f983ff672e52b974cbcd006537cbfd1700051c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-22T14:17:08Z","title_canon_sha256":"660f4e5ebda1320b3163e2c7aa97d446ee2d6a09ecf8d6b7583cb8bf48d8df6f"},"schema_version":"1.0","source":{"id":"2507.16624","kind":"arxiv","version":1}},"canonical_sha256":"76e4af392f182ff6048a9a80ebfbe5e90ed73fd4fa64042dabeaeb3c787bf425","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"76e4af392f182ff6048a9a80ebfbe5e90ed73fd4fa64042dabeaeb3c787bf425","first_computed_at":"2026-07-05T11:41:27.863378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:41:27.863378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MNHpPyk8CvJxW1YN7SEJsC/G/4RYmORkxNCSOei8ertucF/g3tBga+VOmRjaE7JsU3DlJND7flA9zNrbnrujAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:41:27.863869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16624","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:183749a046a3b15455f5b03369cf6b30967559a031f0dec4f40b85b7adcf73dc","sha256:d709f6364f484c89bbaa5be91ab583063eb36ed357c68d170e97eb4c62802d06"],"state_sha256":"d6bdd1e5ffaae6f06417c9450ea7272b13b8c75d28c1c47407697fa6ff3875d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QW7xIIslZS3ZThH6DJQmQms7xyMypIFSuWCciL+kybNB2c3omEsGJR51br7ZHsw22R7VwKtDUWOk/dnqk76LDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:10:24.584793Z","bundle_sha256":"b12629b45073cad759dd878287970c2dbc972ceb0f96c7220db5b4bc7134417c"}}