{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:PZN364O4AG3S3FXRLG6XW3LS4T","short_pith_number":"pith:PZN364O4","canonical_record":{"source":{"id":"1511.07710","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-24T14:05:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"562c1cb850a9250ec6d214596bb194215f4f52c1817b3b4b58b7a4a0715ab115","abstract_canon_sha256":"1ea0cd87cd0bca067b497e5e46deab00176a9633b78fc0465b572860a8730653"},"schema_version":"1.0"},"canonical_sha256":"7e5bbf71dc01b72d96f159bd7b6d72e4c3812d6c582cf3ed207b6062f24f3b5d","source":{"kind":"arxiv","id":"1511.07710","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.07710","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"arxiv_version","alias_value":"1511.07710v1","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.07710","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"pith_short_12","alias_value":"PZN364O4AG3S","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PZN364O4AG3S3FXR","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PZN364O4","created_at":"2026-05-18T12:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:PZN364O4AG3S3FXRLG6XW3LS4T","target":"record","payload":{"canonical_record":{"source":{"id":"1511.07710","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-24T14:05:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"562c1cb850a9250ec6d214596bb194215f4f52c1817b3b4b58b7a4a0715ab115","abstract_canon_sha256":"1ea0cd87cd0bca067b497e5e46deab00176a9633b78fc0465b572860a8730653"},"schema_version":"1.0"},"canonical_sha256":"7e5bbf71dc01b72d96f159bd7b6d72e4c3812d6c582cf3ed207b6062f24f3b5d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:42.022961Z","signature_b64":"0s2EIx7wTcF7FAJ581MxaCZKqrE5knYRB2s38UK2aPNz/TLUASuaJssQVlA5B0tMBf1f6HLb5Rlf6PR15rk0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e5bbf71dc01b72d96f159bd7b6d72e4c3812d6c582cf3ed207b6062f24f3b5d","last_reissued_at":"2026-05-18T01:09:42.022542Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:42.022542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.07710","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":"2026-05-18T01:09:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9ZzB53ZvBLuN6hLAYC95wpz1gDkGQMlFiombYvIupAYg7kwUB5GN2109E+/bd7S/BEE7fesOX6jtUY5T5n7bAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T09:10:52.761678Z"},"content_sha256":"cc51420717d58f7e6c78330a209e117d329ac57546920374a798facc5f4726a0","schema_version":"1.0","event_id":"sha256:cc51420717d58f7e6c78330a209e117d329ac57546920374a798facc5f4726a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:PZN364O4AG3S3FXRLG6XW3LS4T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Searching for Objects using Structure in Indoor Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Larry S. Davis, Varun K. Nagaraja, Vlad I. Morariu","submitted_at":"2015-11-24T14:05:28Z","abstract_excerpt":"To identify the location of objects of a particular class, a passive computer vision system generally processes all the regions in an image to finally output few regions. However, we can use structure in the scene to search for objects without processing the entire image. We propose a search technique that sequentially processes image regions such that the regions that are more likely to correspond to the query class object are explored earlier. We frame the problem as a Markov decision process and use an imitation learning algorithm to learn a search strategy. Since structure in the scene is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.07710","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":"2026-05-18T01:09:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q67dZXgWaCzneH+oMmwS8cq7k1xtuvvWt8uIhbEyd0vNYx93LQ2HPP5ofa/8FCeP2qTxpYKHGllCQDUppMTUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T09:10:52.762372Z"},"content_sha256":"79377de4d0a658f81a39e9889e351f69ff5a0d96baecb774c6eb474d97fbb574","schema_version":"1.0","event_id":"sha256:79377de4d0a658f81a39e9889e351f69ff5a0d96baecb774c6eb474d97fbb574"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZN364O4AG3S3FXRLG6XW3LS4T/bundle.json","state_url":"https://pith.science/pith/PZN364O4AG3S3FXRLG6XW3LS4T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZN364O4AG3S3FXRLG6XW3LS4T/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":"2026-06-09T09:10:52Z","links":{"resolver":"https://pith.science/pith/PZN364O4AG3S3FXRLG6XW3LS4T","bundle":"https://pith.science/pith/PZN364O4AG3S3FXRLG6XW3LS4T/bundle.json","state":"https://pith.science/pith/PZN364O4AG3S3FXRLG6XW3LS4T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZN364O4AG3S3FXRLG6XW3LS4T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:PZN364O4AG3S3FXRLG6XW3LS4T","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":"1ea0cd87cd0bca067b497e5e46deab00176a9633b78fc0465b572860a8730653","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-24T14:05:28Z","title_canon_sha256":"562c1cb850a9250ec6d214596bb194215f4f52c1817b3b4b58b7a4a0715ab115"},"schema_version":"1.0","source":{"id":"1511.07710","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.07710","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"arxiv_version","alias_value":"1511.07710v1","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.07710","created_at":"2026-05-18T01:09:42Z"},{"alias_kind":"pith_short_12","alias_value":"PZN364O4AG3S","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PZN364O4AG3S3FXR","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PZN364O4","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:79377de4d0a658f81a39e9889e351f69ff5a0d96baecb774c6eb474d97fbb574","target":"graph","created_at":"2026-05-18T01:09:42Z","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":"To identify the location of objects of a particular class, a passive computer vision system generally processes all the regions in an image to finally output few regions. However, we can use structure in the scene to search for objects without processing the entire image. We propose a search technique that sequentially processes image regions such that the regions that are more likely to correspond to the query class object are explored earlier. We frame the problem as a Markov decision process and use an imitation learning algorithm to learn a search strategy. Since structure in the scene is ","authors_text":"Larry S. Davis, Varun K. Nagaraja, Vlad I. Morariu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-24T14:05:28Z","title":"Searching for Objects using Structure in Indoor Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.07710","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:cc51420717d58f7e6c78330a209e117d329ac57546920374a798facc5f4726a0","target":"record","created_at":"2026-05-18T01:09:42Z","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":"1ea0cd87cd0bca067b497e5e46deab00176a9633b78fc0465b572860a8730653","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-24T14:05:28Z","title_canon_sha256":"562c1cb850a9250ec6d214596bb194215f4f52c1817b3b4b58b7a4a0715ab115"},"schema_version":"1.0","source":{"id":"1511.07710","kind":"arxiv","version":1}},"canonical_sha256":"7e5bbf71dc01b72d96f159bd7b6d72e4c3812d6c582cf3ed207b6062f24f3b5d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e5bbf71dc01b72d96f159bd7b6d72e4c3812d6c582cf3ed207b6062f24f3b5d","first_computed_at":"2026-05-18T01:09:42.022542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:42.022542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0s2EIx7wTcF7FAJ581MxaCZKqrE5knYRB2s38UK2aPNz/TLUASuaJssQVlA5B0tMBf1f6HLb5Rlf6PR15rk0BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:42.022961Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.07710","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc51420717d58f7e6c78330a209e117d329ac57546920374a798facc5f4726a0","sha256:79377de4d0a658f81a39e9889e351f69ff5a0d96baecb774c6eb474d97fbb574"],"state_sha256":"45d6cd6c62763379c0659a4e4eec5797ac8b56ddfc9f47cadc65e657454cda6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zIRA7VSREfSKVTFHukjB/miYoeERK1ST+YODGPyvR5cmcrg4KjRCwJAjZ95OC7cYSOVNypR8KJ27tEczY0KwAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T09:10:52.766611Z","bundle_sha256":"5b4ea38385cafa5825007a6d28c8d6b9db69ee750e5a606e76216ee1ec3b097d"}}