{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HVKMUWMW7HTX276CU7NXPSFD2N","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":"efc4706c0f267936f6592c6712b98d538a2bf54e49de7068e9d0247ac0ab74dd","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T03:30:57Z","title_canon_sha256":"855ab0a3683ddf65805b10e37176666778c705f200ba26283cd32fa6f241af13"},"schema_version":"1.0","source":{"id":"2405.03978","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.03978","created_at":"2026-07-05T08:16:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.03978v1","created_at":"2026-07-05T08:16:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.03978","created_at":"2026-07-05T08:16:30Z"},{"alias_kind":"pith_short_12","alias_value":"HVKMUWMW7HTX","created_at":"2026-07-05T08:16:30Z"},{"alias_kind":"pith_short_16","alias_value":"HVKMUWMW7HTX276C","created_at":"2026-07-05T08:16:30Z"},{"alias_kind":"pith_short_8","alias_value":"HVKMUWMW","created_at":"2026-07-05T08:16:30Z"}],"graph_snapshots":[{"event_id":"sha256:eeb945ed96ca02cccf0204c8c3d3277378e34edcf6083bf800b12e167a64e7a0","target":"graph","created_at":"2026-07-05T08:16:30Z","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/2405.03978/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As a deep learning model, Visual Mamba (VMamba) has a low computational complexity and a global receptive field, which has been successful applied to image classification and detection. To extend its applications, we apply VMamba to crowd counting and propose a novel VMambaCC (VMamba Crowd Counting) model. Naturally, VMambaCC inherits the merits of VMamba, or global modeling for images and low computational cost. Additionally, we design a Multi-head High-level Feature (MHF) attention mechanism for VMambaCC. MHF is a new attention mechanism that leverages high-level semantic features to augment","authors_text":"Hao-Yuan Ma, Li Zhang, Shuai Shi","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T03:30:57Z","title":"VMambaCC: A Visual State Space Model for Crowd Counting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.03978","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":"sha256:6386aabd59ecc3bf0441b05d786d805b2c1d8c94408e9242bcb15199471f907e","target":"record","created_at":"2026-07-05T08:16:30Z","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":"efc4706c0f267936f6592c6712b98d538a2bf54e49de7068e9d0247ac0ab74dd","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-07T03:30:57Z","title_canon_sha256":"855ab0a3683ddf65805b10e37176666778c705f200ba26283cd32fa6f241af13"},"schema_version":"1.0","source":{"id":"2405.03978","kind":"arxiv","version":1}},"canonical_sha256":"3d54ca5996f9e77d7fc2a7db77c8a3d36f9994897d20df1ddf15c1bce0cc400f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d54ca5996f9e77d7fc2a7db77c8a3d36f9994897d20df1ddf15c1bce0cc400f","first_computed_at":"2026-07-05T08:16:30.000847Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:30.000847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2MenGF1x1Dl5TSMtoFrlXYa8M94TubTYafFuiRQjgNTCT8Sm2rKK8+einL83D14jjOrOVsvV+PGYaT6RDHJ0AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:30.001312Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.03978","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6386aabd59ecc3bf0441b05d786d805b2c1d8c94408e9242bcb15199471f907e","sha256:eeb945ed96ca02cccf0204c8c3d3277378e34edcf6083bf800b12e167a64e7a0"],"state_sha256":"8677174f43d1c098314ef5cecc3c97fe20eababcc48e353f25117ea561a97b00"}