{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2010:XOL7AUL7UCUXPJAHX4XXBHGU7S","short_pith_number":"pith:XOL7AUL7","canonical_record":{"source":{"id":"1011.3174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-11-14T01:52:52Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"1c74b6e79e272fd7ff1a4a13438565667554840c190a7be93ed696f23ea1c38b","abstract_canon_sha256":"4322dcf71c79bed7cbddc1a64ae2cd1bfe0dfc9388db7094fac361924f49527c"},"schema_version":"1.0"},"canonical_sha256":"bb97f0517fa0a977a407bf2f709cd4fc85f33386c15f3d52f76cdd5537b1e5d5","source":{"kind":"arxiv","id":"1011.3174","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1011.3174","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"arxiv_version","alias_value":"1011.3174v1","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1011.3174","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"pith_short_12","alias_value":"XOL7AUL7UCUX","created_at":"2026-05-18T12:26:17Z"},{"alias_kind":"pith_short_16","alias_value":"XOL7AUL7UCUXPJAH","created_at":"2026-05-18T12:26:17Z"},{"alias_kind":"pith_short_8","alias_value":"XOL7AUL7","created_at":"2026-05-18T12:26:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2010:XOL7AUL7UCUXPJAHX4XXBHGU7S","target":"record","payload":{"canonical_record":{"source":{"id":"1011.3174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-11-14T01:52:52Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"1c74b6e79e272fd7ff1a4a13438565667554840c190a7be93ed696f23ea1c38b","abstract_canon_sha256":"4322dcf71c79bed7cbddc1a64ae2cd1bfe0dfc9388db7094fac361924f49527c"},"schema_version":"1.0"},"canonical_sha256":"bb97f0517fa0a977a407bf2f709cd4fc85f33386c15f3d52f76cdd5537b1e5d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:23:36.822428Z","signature_b64":"0Ux3/m6/6YT31jSN/WpKovcIs24UJH9Nl87d1gx9JkpLyPM8qWpxLqOBk4ROiLX6jsmlQ4kqpmm4beLjs5pZBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb97f0517fa0a977a407bf2f709cd4fc85f33386c15f3d52f76cdd5537b1e5d5","last_reissued_at":"2026-05-18T02:23:36.821804Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:23:36.821804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1011.3174","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":"2026-05-18T02:23:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JivCSjAiT65oqEtres5b3+W2ThzWnLfQiiF5VAwWWTZ4GWT45UNcHKKcixDIEQYfQfFmVePQRosoycDGspuGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T18:17:12.276077Z"},"content_sha256":"039242e4acfd0ad77f4cd45f392dc774192eef10a6347f0864c31b352b0f38bc","schema_version":"1.0","event_id":"sha256:039242e4acfd0ad77f4cd45f392dc774192eef10a6347f0864c31b352b0f38bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2010:XOL7AUL7UCUXPJAHX4XXBHGU7S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tensor-SIFT based Earth Mover's Distance for Contour Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.CV","authors_text":"Peihua Li","submitted_at":"2010-11-14T01:52:52Z","abstract_excerpt":"Contour tracking in adverse environments is a challenging problem due to cluttered background, illumination variation, occlusion, and noise, among others. This paper presents a robust contour tracking method by contributing to some of the key issues involved, including (a) a region functional formulation and its optimization; (b) design of a robust and effective feature; and (c) development of an integrated tracking algorithm. First, we formulate a region functional based on robust Earth Mover's distance (EMD) with kernel density for distribution modeling, and propose a two-phase method for it"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1011.3174","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":""},"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":"2026-05-18T02:23:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bG9Kuw53SS9+z9ps0X0GYRSW/7VpahPzgK4aTjYGcRU0+8BfuwSD8mz0LCIDw6SZrL8bCgWFuZEjM2Mpfxg3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T18:17:12.276457Z"},"content_sha256":"4dd1e51192499aac6361c2b062202f05f86f09d65f7e6b87dc047cf5175fa851","schema_version":"1.0","event_id":"sha256:4dd1e51192499aac6361c2b062202f05f86f09d65f7e6b87dc047cf5175fa851"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/bundle.json","state_url":"https://pith.science/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/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":"2026-06-24T18:17:12Z","links":{"resolver":"https://pith.science/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S","bundle":"https://pith.science/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/bundle.json","state":"https://pith.science/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOL7AUL7UCUXPJAHX4XXBHGU7S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2010:XOL7AUL7UCUXPJAHX4XXBHGU7S","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":"4322dcf71c79bed7cbddc1a64ae2cd1bfe0dfc9388db7094fac361924f49527c","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-11-14T01:52:52Z","title_canon_sha256":"1c74b6e79e272fd7ff1a4a13438565667554840c190a7be93ed696f23ea1c38b"},"schema_version":"1.0","source":{"id":"1011.3174","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1011.3174","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"arxiv_version","alias_value":"1011.3174v1","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1011.3174","created_at":"2026-05-18T02:23:36Z"},{"alias_kind":"pith_short_12","alias_value":"XOL7AUL7UCUX","created_at":"2026-05-18T12:26:17Z"},{"alias_kind":"pith_short_16","alias_value":"XOL7AUL7UCUXPJAH","created_at":"2026-05-18T12:26:17Z"},{"alias_kind":"pith_short_8","alias_value":"XOL7AUL7","created_at":"2026-05-18T12:26:17Z"}],"graph_snapshots":[{"event_id":"sha256:4dd1e51192499aac6361c2b062202f05f86f09d65f7e6b87dc047cf5175fa851","target":"graph","created_at":"2026-05-18T02:23:36Z","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"},"paper":{"abstract_excerpt":"Contour tracking in adverse environments is a challenging problem due to cluttered background, illumination variation, occlusion, and noise, among others. This paper presents a robust contour tracking method by contributing to some of the key issues involved, including (a) a region functional formulation and its optimization; (b) design of a robust and effective feature; and (c) development of an integrated tracking algorithm. First, we formulate a region functional based on robust Earth Mover's distance (EMD) with kernel density for distribution modeling, and propose a two-phase method for it","authors_text":"Peihua Li","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-11-14T01:52:52Z","title":"Tensor-SIFT based Earth Mover's Distance for Contour Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1011.3174","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":"sha256:039242e4acfd0ad77f4cd45f392dc774192eef10a6347f0864c31b352b0f38bc","target":"record","created_at":"2026-05-18T02:23:36Z","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":"4322dcf71c79bed7cbddc1a64ae2cd1bfe0dfc9388db7094fac361924f49527c","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2010-11-14T01:52:52Z","title_canon_sha256":"1c74b6e79e272fd7ff1a4a13438565667554840c190a7be93ed696f23ea1c38b"},"schema_version":"1.0","source":{"id":"1011.3174","kind":"arxiv","version":1}},"canonical_sha256":"bb97f0517fa0a977a407bf2f709cd4fc85f33386c15f3d52f76cdd5537b1e5d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb97f0517fa0a977a407bf2f709cd4fc85f33386c15f3d52f76cdd5537b1e5d5","first_computed_at":"2026-05-18T02:23:36.821804Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:23:36.821804Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Ux3/m6/6YT31jSN/WpKovcIs24UJH9Nl87d1gx9JkpLyPM8qWpxLqOBk4ROiLX6jsmlQ4kqpmm4beLjs5pZBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:23:36.822428Z","signed_message":"canonical_sha256_bytes"},"source_id":"1011.3174","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:039242e4acfd0ad77f4cd45f392dc774192eef10a6347f0864c31b352b0f38bc","sha256:4dd1e51192499aac6361c2b062202f05f86f09d65f7e6b87dc047cf5175fa851"],"state_sha256":"f2e7913cd0259a753b1a478f039d2e891816ceaa3cbbf5cae052963eb879151b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nwilaGpACWMql79d3ef2CyDv/NdBAWAQcz8QxPTC21zrrk0Nny9yle+NTHTI7/RhKHExdvd/f2bx5l2UAvYMBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T18:17:12.278448Z","bundle_sha256":"019f80cd34fc4357a8c7581f0daa4ae3f3c177a446637b7d63f9e850bdb56f1d"}}