{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZYRI2STUWXF32S7S6DUJBDI56G","short_pith_number":"pith:ZYRI2STU","schema_version":"1.0","canonical_sha256":"ce228d4a74b5cbbd4bf2f0e8908d1df18315997997587e9de9e308540a7d6f01","source":{"kind":"arxiv","id":"2412.01300","version":2},"attestation_state":"computed","paper":{"title":"MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Li, Han Han, Wei Zhai, Yang Cao, Zheng-Jun Zha","submitted_at":"2024-12-02T09:13:29Z","abstract_excerpt":"Tracking Any Point (TAP) plays a crucial role in motion analysis. Video-based approaches rely on iterative local matching for tracking, but they assume linear motion during the blind time between frames, which leads to point loss under large displacements or nonlinear motion. The high temporal resolution and motion blur-free characteristics of event cameras provide continuous, fine-grained motion information, capturing subtle variations with microsecond precision. This paper presents an event-based framework for tracking any point, which tackles the challenges posed by spatial sparsity and mot"},"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":"2412.01300","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T09:13:29Z","cross_cats_sorted":[],"title_canon_sha256":"1a6fc125eea1dcf5aa2bd71a23db46cb57f7129d18ea19c520665fdeb8b9b7f2","abstract_canon_sha256":"1161d57bd67a21ab487690efc962442ddc67166b7eebeb13eca8aeb8aea04be5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:59.198035Z","signature_b64":"AeVf45Kc6o/dxoLAIIu3sBeSQrcoJCcweCCOGpdKZM//LzSq2utgUb+EuF45aQtJrY1boUuBK7ljl8n3/5YICw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce228d4a74b5cbbd4bf2f0e8908d1df18315997997587e9de9e308540a7d6f01","last_reissued_at":"2026-07-05T11:43:59.197583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:59.197583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Li, Han Han, Wei Zhai, Yang Cao, Zheng-Jun Zha","submitted_at":"2024-12-02T09:13:29Z","abstract_excerpt":"Tracking Any Point (TAP) plays a crucial role in motion analysis. Video-based approaches rely on iterative local matching for tracking, but they assume linear motion during the blind time between frames, which leads to point loss under large displacements or nonlinear motion. The high temporal resolution and motion blur-free characteristics of event cameras provide continuous, fine-grained motion information, capturing subtle variations with microsecond precision. This paper presents an event-based framework for tracking any point, which tackles the challenges posed by spatial sparsity and mot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01300","kind":"arxiv","version":2},"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/2412.01300/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":"2412.01300","created_at":"2026-07-05T11:43:59.197637+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.01300v2","created_at":"2026-07-05T11:43:59.197637+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01300","created_at":"2026-07-05T11:43:59.197637+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZYRI2STUWXF3","created_at":"2026-07-05T11:43:59.197637+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZYRI2STUWXF32S7S","created_at":"2026-07-05T11:43:59.197637+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZYRI2STU","created_at":"2026-07-05T11:43:59.197637+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/ZYRI2STUWXF32S7S6DUJBDI56G","json":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G.json","graph_json":"https://pith.science/api/pith-number/ZYRI2STUWXF32S7S6DUJBDI56G/graph.json","events_json":"https://pith.science/api/pith-number/ZYRI2STUWXF32S7S6DUJBDI56G/events.json","paper":"https://pith.science/paper/ZYRI2STU"},"agent_actions":{"view_html":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G","download_json":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G.json","view_paper":"https://pith.science/paper/ZYRI2STU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.01300&json=true","fetch_graph":"https://pith.science/api/pith-number/ZYRI2STUWXF32S7S6DUJBDI56G/graph.json","fetch_events":"https://pith.science/api/pith-number/ZYRI2STUWXF32S7S6DUJBDI56G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G/action/storage_attestation","attest_author":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G/action/author_attestation","sign_citation":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G/action/citation_signature","submit_replication":"https://pith.science/pith/ZYRI2STUWXF32S7S6DUJBDI56G/action/replication_record"}},"created_at":"2026-07-05T11:43:59.197637+00:00","updated_at":"2026-07-05T11:43:59.197637+00:00"}