{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2QBT7HBMSBBTDLBR6XPRSJKZSA","short_pith_number":"pith:2QBT7HBM","canonical_record":{"source":{"id":"2504.04787","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T07:31:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d258c370188b02c99aa2f5d0d3c80b6611fe0a4699790d474edce70577b4bbc8","abstract_canon_sha256":"eac19701c74d5487cf2a1b0e46f183380f8edecf058ec97b624dae53d705a474"},"schema_version":"1.0"},"canonical_sha256":"d4033f9c2c904331ac31f5df1925599006bfa470bab36c618f86c4b8cabee8fd","source":{"kind":"arxiv","id":"2504.04787","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04787","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04787v1","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04787","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_12","alias_value":"2QBT7HBMSBBT","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_16","alias_value":"2QBT7HBMSBBTDLBR","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_8","alias_value":"2QBT7HBM","created_at":"2026-07-05T10:45:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2QBT7HBMSBBTDLBR6XPRSJKZSA","target":"record","payload":{"canonical_record":{"source":{"id":"2504.04787","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T07:31:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d258c370188b02c99aa2f5d0d3c80b6611fe0a4699790d474edce70577b4bbc8","abstract_canon_sha256":"eac19701c74d5487cf2a1b0e46f183380f8edecf058ec97b624dae53d705a474"},"schema_version":"1.0"},"canonical_sha256":"d4033f9c2c904331ac31f5df1925599006bfa470bab36c618f86c4b8cabee8fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:29.785471Z","signature_b64":"pmGQ9O9QDyEXR53P+kkcGHwjcmz2TrLQfWRBqUENeEtnFhutZsgKV22TUZxRMv8TXc5J0obZcS5gBZZ6yzmXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4033f9c2c904331ac31f5df1925599006bfa470bab36c618f86c4b8cabee8fd","last_reissued_at":"2026-07-05T10:45:29.784954Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:29.784954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.04787","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":"2026-07-05T10:45:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zsMesT6//Tjv6AtldP0b36UtaNTyC6uDZj1u/CxmCEK468yOYKA0By0WVgkFs9cJnpFOQznlQnJD2T4ijpEqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:41:05.079682Z"},"content_sha256":"171d2e59bbcaa9efd366a7f07f975185ce53cdeedfe2fde09297d46030a24d69","schema_version":"1.0","event_id":"sha256:171d2e59bbcaa9efd366a7f07f975185ce53cdeedfe2fde09297d46030a24d69"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2QBT7HBMSBBTDLBR6XPRSJKZSA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Vision Mamba","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Kai Wang, Konstantinos N. Plataniotis, Mengxuan Wu, Moyang Li, Samir Khaki, Wangbo Zhao, Xiaojiang Peng, Xuanlei Zhao, Yang You, Zekai Li, Zheng Zhu, Zhiyuan Liang","submitted_at":"2025-04-07T07:31:28Z","abstract_excerpt":"Mamba-based vision models have gained extensive attention as a result of being computationally more efficient than attention-based models. However, spatial redundancy still exists in these models, represented by token and block redundancy. For token redundancy, we analytically find that early token pruning methods will result in inconsistency between training and inference or introduce extra computation for inference. Therefore, we customize token pruning to fit the Mamba structure by rearranging the pruned sequence before feeding it into the next Mamba block. For block redundancy, we allow ea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04787","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/2504.04787/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":"2026-07-05T10:45:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wj5iFunJLKKQ0I6AXnbbV/5K3fvph2mHpV/GbLE/eG2wGdXiJozCv6jbl6jXXY7PDcek5kBmgQCQm10xeUaBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:41:05.080580Z"},"content_sha256":"2556020c1b8b1672aa0d8868cd0dc34c4db7fd86be4920382fd5d0cfa6b5db0d","schema_version":"1.0","event_id":"sha256:2556020c1b8b1672aa0d8868cd0dc34c4db7fd86be4920382fd5d0cfa6b5db0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/bundle.json","state_url":"https://pith.science/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/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":"2026-08-08T19:41:05Z","links":{"resolver":"https://pith.science/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA","bundle":"https://pith.science/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/bundle.json","state":"https://pith.science/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QBT7HBMSBBTDLBR6XPRSJKZSA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2QBT7HBMSBBTDLBR6XPRSJKZSA","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":"eac19701c74d5487cf2a1b0e46f183380f8edecf058ec97b624dae53d705a474","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T07:31:28Z","title_canon_sha256":"d258c370188b02c99aa2f5d0d3c80b6611fe0a4699790d474edce70577b4bbc8"},"schema_version":"1.0","source":{"id":"2504.04787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.04787","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"arxiv_version","alias_value":"2504.04787v1","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.04787","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_12","alias_value":"2QBT7HBMSBBT","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_16","alias_value":"2QBT7HBMSBBTDLBR","created_at":"2026-07-05T10:45:29Z"},{"alias_kind":"pith_short_8","alias_value":"2QBT7HBM","created_at":"2026-07-05T10:45:29Z"}],"graph_snapshots":[{"event_id":"sha256:2556020c1b8b1672aa0d8868cd0dc34c4db7fd86be4920382fd5d0cfa6b5db0d","target":"graph","created_at":"2026-07-05T10:45:29Z","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/2504.04787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mamba-based vision models have gained extensive attention as a result of being computationally more efficient than attention-based models. However, spatial redundancy still exists in these models, represented by token and block redundancy. For token redundancy, we analytically find that early token pruning methods will result in inconsistency between training and inference or introduce extra computation for inference. Therefore, we customize token pruning to fit the Mamba structure by rearranging the pruned sequence before feeding it into the next Mamba block. For block redundancy, we allow ea","authors_text":"Kai Wang, Konstantinos N. Plataniotis, Mengxuan Wu, Moyang Li, Samir Khaki, Wangbo Zhao, Xiaojiang Peng, Xuanlei Zhao, Yang You, Zekai Li, Zheng Zhu, Zhiyuan Liang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T07:31:28Z","title":"Dynamic Vision Mamba"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.04787","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":"sha256:171d2e59bbcaa9efd366a7f07f975185ce53cdeedfe2fde09297d46030a24d69","target":"record","created_at":"2026-07-05T10:45:29Z","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":"eac19701c74d5487cf2a1b0e46f183380f8edecf058ec97b624dae53d705a474","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-07T07:31:28Z","title_canon_sha256":"d258c370188b02c99aa2f5d0d3c80b6611fe0a4699790d474edce70577b4bbc8"},"schema_version":"1.0","source":{"id":"2504.04787","kind":"arxiv","version":1}},"canonical_sha256":"d4033f9c2c904331ac31f5df1925599006bfa470bab36c618f86c4b8cabee8fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4033f9c2c904331ac31f5df1925599006bfa470bab36c618f86c4b8cabee8fd","first_computed_at":"2026-07-05T10:45:29.784954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:29.784954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pmGQ9O9QDyEXR53P+kkcGHwjcmz2TrLQfWRBqUENeEtnFhutZsgKV22TUZxRMv8TXc5J0obZcS5gBZZ6yzmXCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:29.785471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.04787","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:171d2e59bbcaa9efd366a7f07f975185ce53cdeedfe2fde09297d46030a24d69","sha256:2556020c1b8b1672aa0d8868cd0dc34c4db7fd86be4920382fd5d0cfa6b5db0d"],"state_sha256":"03809417eb1cb1cbe0615f1277aa3fce88b92efc60cf904a31be90fbc8332ac9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s3tBepgP9+yDXia6weBIKBQRpXDnA5u0REnWJrAaxScOYuyLO3upvOUJK1teiMQBKhhLYiTkU1k3IDl27Oi2Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:41:05.088914Z","bundle_sha256":"5c6b69c3837783cdb0331b63205231f96113cb5f3f26a07bc7c0488e1628fe7b"}}