{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EDO7Q5KEDLPINGMVBN32CVVY7Q","short_pith_number":"pith:EDO7Q5KE","canonical_record":{"source":{"id":"2409.18962","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T17:59:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"adde86372677846b80733fbd34683f0350d9dff995f0bc435da9424bc193f06c","abstract_canon_sha256":"d1bfabf4c438ce0fff0dce18f156b9f7955e3c50303894425d08538f50fe3127"},"schema_version":"1.0"},"canonical_sha256":"20ddf875441ade8699950b77a156b8fc010a8e1eb6f3f2751e4a0d5f65d5e8f5","source":{"kind":"arxiv","id":"2409.18962","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.18962","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.18962v1","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.18962","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"EDO7Q5KEDLPI","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"EDO7Q5KEDLPINGMV","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"EDO7Q5KE","created_at":"2026-07-05T09:12:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EDO7Q5KEDLPINGMVBN32CVVY7Q","target":"record","payload":{"canonical_record":{"source":{"id":"2409.18962","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T17:59:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"adde86372677846b80733fbd34683f0350d9dff995f0bc435da9424bc193f06c","abstract_canon_sha256":"d1bfabf4c438ce0fff0dce18f156b9f7955e3c50303894425d08538f50fe3127"},"schema_version":"1.0"},"canonical_sha256":"20ddf875441ade8699950b77a156b8fc010a8e1eb6f3f2751e4a0d5f65d5e8f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:50.495472Z","signature_b64":"QysCgol2fV7lDwKWjP7OzXZuzpcWIrijNxBECQIZndq5gamNBGdMOcdgAGx6JFVf8fxtzwSngkNgr8xyRtl8Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20ddf875441ade8699950b77a156b8fc010a8e1eb6f3f2751e4a0d5f65d5e8f5","last_reissued_at":"2026-07-05T09:12:50.495052Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:50.495052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.18962","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":"2026-07-05T09:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XbMjjStMFVAgLonlRDp40mbFytPHI3X8dNCpK4Fn35tE4oRB2jm5KdcWqCVUxGgq3Emstts3vYlF6RRRFH8RCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:40:29.041164Z"},"content_sha256":"5b67ec3339c646b946383eaf70ea298eb0fcfa8fa8bccbfb9379e248f96133f6","schema_version":"1.0","event_id":"sha256:5b67ec3339c646b946383eaf70ea298eb0fcfa8fa8bccbfb9379e248f96133f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EDO7Q5KEDLPINGMVBN32CVVY7Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Token Pruning in Vision State Space Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Hangyu Zheng, Pu Zhao, Stratis Ioannidis, Wei Niu, Xuan Shen, Yanzhi Wang, Yifan Gong, Yushu Wu, Zhenglun Kong, Zheng Zhan, Zichong Meng","submitted_at":"2024-09-27T17:59:50Z","abstract_excerpt":"State Space Models (SSMs) have the advantage of keeping linear computational complexity compared to attention modules in transformers, and have been applied to vision tasks as a new type of powerful vision foundation model. Inspired by the observations that the final prediction in vision transformers (ViTs) is only based on a subset of most informative tokens, we take the novel step of enhancing the efficiency of SSM-based vision models through token-based pruning. However, direct applications of existing token pruning techniques designed for ViTs fail to deliver good performance, even with ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.18962","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/2409.18962/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":"2026-07-05T09:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AsMKKrsKiPqSyTRCfzYH9MSxt4m6cReh+mUH7jyQUVeQPg5rrI0bLLvwj6aUw+/PaJS67t+C79XNJIu3ac9BDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:40:29.041805Z"},"content_sha256":"3124f4e9f5573e778e801d1013fbe6373272dcf0bf06a583dbe722a52f1fa841","schema_version":"1.0","event_id":"sha256:3124f4e9f5573e778e801d1013fbe6373272dcf0bf06a583dbe722a52f1fa841"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/bundle.json","state_url":"https://pith.science/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/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":"2026-08-10T10:40:29Z","links":{"resolver":"https://pith.science/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q","bundle":"https://pith.science/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/bundle.json","state":"https://pith.science/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EDO7Q5KEDLPINGMVBN32CVVY7Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EDO7Q5KEDLPINGMVBN32CVVY7Q","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":"d1bfabf4c438ce0fff0dce18f156b9f7955e3c50303894425d08538f50fe3127","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T17:59:50Z","title_canon_sha256":"adde86372677846b80733fbd34683f0350d9dff995f0bc435da9424bc193f06c"},"schema_version":"1.0","source":{"id":"2409.18962","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.18962","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2409.18962v1","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.18962","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"EDO7Q5KEDLPI","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"EDO7Q5KEDLPINGMV","created_at":"2026-07-05T09:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"EDO7Q5KE","created_at":"2026-07-05T09:12:50Z"}],"graph_snapshots":[{"event_id":"sha256:3124f4e9f5573e778e801d1013fbe6373272dcf0bf06a583dbe722a52f1fa841","target":"graph","created_at":"2026-07-05T09:12:50Z","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/2409.18962/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State Space Models (SSMs) have the advantage of keeping linear computational complexity compared to attention modules in transformers, and have been applied to vision tasks as a new type of powerful vision foundation model. Inspired by the observations that the final prediction in vision transformers (ViTs) is only based on a subset of most informative tokens, we take the novel step of enhancing the efficiency of SSM-based vision models through token-based pruning. However, direct applications of existing token pruning techniques designed for ViTs fail to deliver good performance, even with ex","authors_text":"Hangyu Zheng, Pu Zhao, Stratis Ioannidis, Wei Niu, Xuan Shen, Yanzhi Wang, Yifan Gong, Yushu Wu, Zhenglun Kong, Zheng Zhan, Zichong Meng","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T17:59:50Z","title":"Exploring Token Pruning in Vision State Space Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.18962","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":"sha256:5b67ec3339c646b946383eaf70ea298eb0fcfa8fa8bccbfb9379e248f96133f6","target":"record","created_at":"2026-07-05T09:12:50Z","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":"d1bfabf4c438ce0fff0dce18f156b9f7955e3c50303894425d08538f50fe3127","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-27T17:59:50Z","title_canon_sha256":"adde86372677846b80733fbd34683f0350d9dff995f0bc435da9424bc193f06c"},"schema_version":"1.0","source":{"id":"2409.18962","kind":"arxiv","version":1}},"canonical_sha256":"20ddf875441ade8699950b77a156b8fc010a8e1eb6f3f2751e4a0d5f65d5e8f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20ddf875441ade8699950b77a156b8fc010a8e1eb6f3f2751e4a0d5f65d5e8f5","first_computed_at":"2026-07-05T09:12:50.495052Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:50.495052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QysCgol2fV7lDwKWjP7OzXZuzpcWIrijNxBECQIZndq5gamNBGdMOcdgAGx6JFVf8fxtzwSngkNgr8xyRtl8Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:50.495472Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.18962","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b67ec3339c646b946383eaf70ea298eb0fcfa8fa8bccbfb9379e248f96133f6","sha256:3124f4e9f5573e778e801d1013fbe6373272dcf0bf06a583dbe722a52f1fa841"],"state_sha256":"4651c8fd4e6131d69dd90e2e37548d84b2794b49ee693f6af9c2a95870ee5f9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0oHU4qRLxxGdRQzb9+UtTPyD+Lle7us2sVWvuNSU4hSk2FUQC8JP9w+9DuISyL5JWAlGAMtMS3iILj7M8QzrDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:40:29.048178Z","bundle_sha256":"d8fd91b58a588dcc21388bc67e68e8804c1e3d7df2f1b4256debd897e1c53124"}}