{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:JRYMYBLLW6DETA6Q7WDERIWKQW","short_pith_number":"pith:JRYMYBLL","canonical_record":{"source":{"id":"1601.07258","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-01-27T04:32:20Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"cbdfa8ce17ee7afd5f74f0a30f767c46cff8b3d967f247b68a254d13bc63fd8c","abstract_canon_sha256":"8d5f79b36a7a3807fc5ff6e340d00d791abff6ed3c82b7ce8c56577b993d8586"},"schema_version":"1.0"},"canonical_sha256":"4c70cc056bb7864983d0fd8648a2ca85bafca06fae3cd0f5ea4c8dcf5c128fb6","source":{"kind":"arxiv","id":"1601.07258","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.07258","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"1601.07258v1","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.07258","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"JRYMYBLLW6DE","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JRYMYBLLW6DETA6Q","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JRYMYBLL","created_at":"2026-05-18T12:30:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:JRYMYBLLW6DETA6Q7WDERIWKQW","target":"record","payload":{"canonical_record":{"source":{"id":"1601.07258","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-01-27T04:32:20Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"cbdfa8ce17ee7afd5f74f0a30f767c46cff8b3d967f247b68a254d13bc63fd8c","abstract_canon_sha256":"8d5f79b36a7a3807fc5ff6e340d00d791abff6ed3c82b7ce8c56577b993d8586"},"schema_version":"1.0"},"canonical_sha256":"4c70cc056bb7864983d0fd8648a2ca85bafca06fae3cd0f5ea4c8dcf5c128fb6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:46.352873Z","signature_b64":"kC/TaZiOFTGInJJOJVkQ+kMyEwbdmtfGKpD19IIki4xM8cAXJdYIPvw2gxXX5Phn1j2uYcFuBpi2Vujzs+NgAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c70cc056bb7864983d0fd8648a2ca85bafca06fae3cd0f5ea4c8dcf5c128fb6","last_reissued_at":"2026-05-18T01:21:46.352305Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:46.352305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1601.07258","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":"2026-05-18T01:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eGBPKLyJF0GxvK9nSATdmEsvezDTtw3R5qQldmPg0UoAjKFZ9x1z+pjA7M+dfN4i6zC6PPi1zq+qviY/BQ1gDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T01:09:02.331244Z"},"content_sha256":"37464c31805b4cde09b6b29eeb577bf6fd28b4223e7a26d785b2522928ca35a9","schema_version":"1.0","event_id":"sha256:37464c31805b4cde09b6b29eeb577bf6fd28b4223e7a26d785b2522928ca35a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:JRYMYBLLW6DETA6Q7WDERIWKQW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Integral Image Estimation at 1% measurement rate","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.CV","authors_text":"Kuldeep Kulkarni, Pavan Turaga","submitted_at":"2016-01-27T04:32:20Z","abstract_excerpt":"We propose a framework called ReFInE to directly obtain integral image estimates from a very small number of spatially multiplexed measurements of the scene without iterative reconstruction of any auxiliary image, and demonstrate their practical utility in visual object tracking. Specifically, we design measurement matrices which are tailored to facilitate extremely fast estimation of the integral image, by using a single-shot linear operation on the measured vector. Leveraging a prior model for the images, we formulate a nuclear norm minimization problem with second order conic constraints to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.07258","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":"2026-05-18T01:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eDKXVNlguVxnqFu1hW2U8noDRIjs76phv4haXH07A3S67leLQUzf58AKCFZqt5lM6h3YD8F9c9FpSWLBHFcdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T01:09:02.331603Z"},"content_sha256":"04dea2c2b2477ccc3fe113eab28ddd38a00662ed1f557b8d387c6f5e8c3d13eb","schema_version":"1.0","event_id":"sha256:04dea2c2b2477ccc3fe113eab28ddd38a00662ed1f557b8d387c6f5e8c3d13eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/bundle.json","state_url":"https://pith.science/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/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":"2026-06-26T01:09:02Z","links":{"resolver":"https://pith.science/pith/JRYMYBLLW6DETA6Q7WDERIWKQW","bundle":"https://pith.science/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/bundle.json","state":"https://pith.science/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JRYMYBLLW6DETA6Q7WDERIWKQW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:JRYMYBLLW6DETA6Q7WDERIWKQW","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":"8d5f79b36a7a3807fc5ff6e340d00d791abff6ed3c82b7ce8c56577b993d8586","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-01-27T04:32:20Z","title_canon_sha256":"cbdfa8ce17ee7afd5f74f0a30f767c46cff8b3d967f247b68a254d13bc63fd8c"},"schema_version":"1.0","source":{"id":"1601.07258","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.07258","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"1601.07258v1","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.07258","created_at":"2026-05-18T01:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"JRYMYBLLW6DE","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_16","alias_value":"JRYMYBLLW6DETA6Q","created_at":"2026-05-18T12:30:25Z"},{"alias_kind":"pith_short_8","alias_value":"JRYMYBLL","created_at":"2026-05-18T12:30:25Z"}],"graph_snapshots":[{"event_id":"sha256:04dea2c2b2477ccc3fe113eab28ddd38a00662ed1f557b8d387c6f5e8c3d13eb","target":"graph","created_at":"2026-05-18T01:21:46Z","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":"We propose a framework called ReFInE to directly obtain integral image estimates from a very small number of spatially multiplexed measurements of the scene without iterative reconstruction of any auxiliary image, and demonstrate their practical utility in visual object tracking. Specifically, we design measurement matrices which are tailored to facilitate extremely fast estimation of the integral image, by using a single-shot linear operation on the measured vector. Leveraging a prior model for the images, we formulate a nuclear norm minimization problem with second order conic constraints to","authors_text":"Kuldeep Kulkarni, Pavan Turaga","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-01-27T04:32:20Z","title":"Fast Integral Image Estimation at 1% measurement rate"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.07258","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":"sha256:37464c31805b4cde09b6b29eeb577bf6fd28b4223e7a26d785b2522928ca35a9","target":"record","created_at":"2026-05-18T01:21:46Z","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":"8d5f79b36a7a3807fc5ff6e340d00d791abff6ed3c82b7ce8c56577b993d8586","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-01-27T04:32:20Z","title_canon_sha256":"cbdfa8ce17ee7afd5f74f0a30f767c46cff8b3d967f247b68a254d13bc63fd8c"},"schema_version":"1.0","source":{"id":"1601.07258","kind":"arxiv","version":1}},"canonical_sha256":"4c70cc056bb7864983d0fd8648a2ca85bafca06fae3cd0f5ea4c8dcf5c128fb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c70cc056bb7864983d0fd8648a2ca85bafca06fae3cd0f5ea4c8dcf5c128fb6","first_computed_at":"2026-05-18T01:21:46.352305Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:21:46.352305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kC/TaZiOFTGInJJOJVkQ+kMyEwbdmtfGKpD19IIki4xM8cAXJdYIPvw2gxXX5Phn1j2uYcFuBpi2Vujzs+NgAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:21:46.352873Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.07258","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37464c31805b4cde09b6b29eeb577bf6fd28b4223e7a26d785b2522928ca35a9","sha256:04dea2c2b2477ccc3fe113eab28ddd38a00662ed1f557b8d387c6f5e8c3d13eb"],"state_sha256":"fc688c14bba9904405ab3e43396a1fef51b4c0107995c63a5d49f9cc3e709278"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c5hr1UU9w8azUlKqAXhNMHFR1vhuAUirowLK6rW7D32R5zXwttFHcpNTGQcTXzmnpEEgJN+pWVB7BHCtSw20Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T01:09:02.333519Z","bundle_sha256":"b6efd610756e1300201fc994e3c17df6a1e6e05cdf9d0b612f07e98712518d90"}}