{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NV7GYZI4A2XXMGTLJM26V3I77E","short_pith_number":"pith:NV7GYZI4","schema_version":"1.0","canonical_sha256":"6d7e6c651c06af761a6b4b35eaed1ff92129296de1bf261663e05a32f931815a","source":{"kind":"arxiv","id":"2607.19811","version":1},"attestation_state":"computed","paper":{"title":"Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huazhong Liu, Wenlun Zhang, Xudong Ouyang, Yimin Xu, Yunshan Zhong","submitted_at":"2026-07-22T06:42:27Z","abstract_excerpt":"The Segment Anything Model 2 (SAM2) has advanced temporal promptable segmentation, yet its deployment remains hindered by heavy memory cross-attention overhead and redundant full-frame visual feature extraction. While recent methods explore efficiency via heuristic memory pruning and window-based sparse routing, they typically suffer from catastrophic performance degradation in complex segmentation scenarios replete with occlusions and distractors. To resolve these limitations, we propose \\textbf{Lean-SAM2}, a holistic lightweight framework designed to address the above vulnerabilities while s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.19811","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-22T06:42:27Z","cross_cats_sorted":[],"title_canon_sha256":"c64fa5a95c1f68039e68462f0af36e0150753a958c4df6fa085e4d684ec5b035","abstract_canon_sha256":"1e12cd15dc3a3403b23ee4bfa51742f88096df7e8b446d2c4ee6d5563f7814c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-23T01:24:00.567891Z","signature_b64":"1unl68A8X5p8kTz6d2Djr5Rd/7TgrvNBvtBC1UUneVKh2qE5Pw300X6kgU7p8k/ZdKwYNKnH7XylDsZU8Dj7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d7e6c651c06af761a6b4b35eaed1ff92129296de1bf261663e05a32f931815a","last_reissued_at":"2026-07-23T01:24:00.566987Z","signature_status":"signed_v1","first_computed_at":"2026-07-23T01:24:00.566987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Huazhong Liu, Wenlun Zhang, Xudong Ouyang, Yimin Xu, Yunshan Zhong","submitted_at":"2026-07-22T06:42:27Z","abstract_excerpt":"The Segment Anything Model 2 (SAM2) has advanced temporal promptable segmentation, yet its deployment remains hindered by heavy memory cross-attention overhead and redundant full-frame visual feature extraction. While recent methods explore efficiency via heuristic memory pruning and window-based sparse routing, they typically suffer from catastrophic performance degradation in complex segmentation scenarios replete with occlusions and distractors. To resolve these limitations, we propose \\textbf{Lean-SAM2}, a holistic lightweight framework designed to address the above vulnerabilities while s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19811","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/2607.19811/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.19811","created_at":"2026-07-23T01:24:00.567458+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.19811v1","created_at":"2026-07-23T01:24:00.567458+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19811","created_at":"2026-07-23T01:24:00.567458+00:00"},{"alias_kind":"pith_short_12","alias_value":"NV7GYZI4A2XX","created_at":"2026-07-23T01:24:00.567458+00:00"},{"alias_kind":"pith_short_16","alias_value":"NV7GYZI4A2XXMGTL","created_at":"2026-07-23T01:24:00.567458+00:00"},{"alias_kind":"pith_short_8","alias_value":"NV7GYZI4","created_at":"2026-07-23T01:24:00.567458+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E","json":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E.json","graph_json":"https://pith.science/api/pith-number/NV7GYZI4A2XXMGTLJM26V3I77E/graph.json","events_json":"https://pith.science/api/pith-number/NV7GYZI4A2XXMGTLJM26V3I77E/events.json","paper":"https://pith.science/paper/NV7GYZI4"},"agent_actions":{"view_html":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E","download_json":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E.json","view_paper":"https://pith.science/paper/NV7GYZI4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.19811&json=true","fetch_graph":"https://pith.science/api/pith-number/NV7GYZI4A2XXMGTLJM26V3I77E/graph.json","fetch_events":"https://pith.science/api/pith-number/NV7GYZI4A2XXMGTLJM26V3I77E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E/action/storage_attestation","attest_author":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E/action/author_attestation","sign_citation":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E/action/citation_signature","submit_replication":"https://pith.science/pith/NV7GYZI4A2XXMGTLJM26V3I77E/action/replication_record"}},"created_at":"2026-07-23T01:24:00.567458+00:00","updated_at":"2026-07-23T01:24:00.567458+00:00"}