{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:VVMBPRG7RQJ52DRCTMLEQFPNDY","short_pith_number":"pith:VVMBPRG7","canonical_record":{"source":{"id":"1409.5786","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T13:35:34Z","cross_cats_sorted":[],"title_canon_sha256":"10f6d5298f23c8137e1ba317d587710b6a0af9dbb7edc3d92eb867343ae2f321","abstract_canon_sha256":"ce7ffad86f9bf1d880363414d0456845bba9b2ec1e06aaf50e1624a3586e9f29"},"schema_version":"1.0"},"canonical_sha256":"ad5817c4df8c13dd0e229b164815ed1e1dbf8b0bdb4c8b6e2c4eb303b1292277","source":{"kind":"arxiv","id":"1409.5786","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.5786","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"arxiv_version","alias_value":"1409.5786v2","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.5786","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"pith_short_12","alias_value":"VVMBPRG7RQJ5","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VVMBPRG7RQJ52DRC","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VVMBPRG7","created_at":"2026-05-18T12:28:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:VVMBPRG7RQJ52DRCTMLEQFPNDY","target":"record","payload":{"canonical_record":{"source":{"id":"1409.5786","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T13:35:34Z","cross_cats_sorted":[],"title_canon_sha256":"10f6d5298f23c8137e1ba317d587710b6a0af9dbb7edc3d92eb867343ae2f321","abstract_canon_sha256":"ce7ffad86f9bf1d880363414d0456845bba9b2ec1e06aaf50e1624a3586e9f29"},"schema_version":"1.0"},"canonical_sha256":"ad5817c4df8c13dd0e229b164815ed1e1dbf8b0bdb4c8b6e2c4eb303b1292277","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:49.478186Z","signature_b64":"bvkq28khAYJ0+LngQyx2WuPFaQNriHdFVZAWOigwRke/42Eb7lkTNUxeYKaKlEmyIAmfpgogQlI9idJERpb+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad5817c4df8c13dd0e229b164815ed1e1dbf8b0bdb4c8b6e2c4eb303b1292277","last_reissued_at":"2026-05-18T01:18:49.477569Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:49.477569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.5786","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:18:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"swEH13tlK2gL/WmKl+SbUGFW24X8d8cSeB1fICDe5HxzABb0Hh4BhuPRPl8odiUSestvyde0rFx/zqXu0MKbDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T13:53:57.671373Z"},"content_sha256":"2f0e1af4eeb4f0063033940b3dae069900d7f48c55f60cc23bad90b87c1fd952","schema_version":"1.0","event_id":"sha256:2f0e1af4eeb4f0063033940b3dae069900d7f48c55f60cc23bad90b87c1fd952"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:VVMBPRG7RQJ52DRCTMLEQFPNDY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zhao, Huajin Tang, Rui Yan, Xi Peng, Zhang Yi","submitted_at":"2014-09-22T13:35:34Z","abstract_excerpt":"Spatial Pyramid Matching (SPM) and its variants have achieved a lot of success in image classification. The main difference among them is their encoding schemes. For example, ScSPM incorporates Sparse Code (SC) instead of Vector Quantization (VQ) into the framework of SPM. Although the methods achieve a higher recognition rate than the traditional SPM, they consume more time to encode the local descriptors extracted from the image. In this paper, we propose using Low Rank Representation (LRR) to encode the descriptors under the framework of SPM. Different from SC, LRR considers the group effec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.5786","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":""},"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":"2026-05-18T01:18:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kvjh9Tu+VFgOiDPj3YAhtM8iGMAHo9eUhztI5PgIXERF5sjy6gC3wYTBcz1GDBsLjh8GF+EbtXpgm4RFCWUJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T13:53:57.671730Z"},"content_sha256":"54ae96154c070365578105b6c7d5a97f9305c85a1eba30f70ef7d81593d20630","schema_version":"1.0","event_id":"sha256:54ae96154c070365578105b6c7d5a97f9305c85a1eba30f70ef7d81593d20630"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/bundle.json","state_url":"https://pith.science/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/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":"2026-06-03T13:53:57Z","links":{"resolver":"https://pith.science/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY","bundle":"https://pith.science/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/bundle.json","state":"https://pith.science/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VVMBPRG7RQJ52DRCTMLEQFPNDY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:VVMBPRG7RQJ52DRCTMLEQFPNDY","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":"ce7ffad86f9bf1d880363414d0456845bba9b2ec1e06aaf50e1624a3586e9f29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T13:35:34Z","title_canon_sha256":"10f6d5298f23c8137e1ba317d587710b6a0af9dbb7edc3d92eb867343ae2f321"},"schema_version":"1.0","source":{"id":"1409.5786","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.5786","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"arxiv_version","alias_value":"1409.5786v2","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.5786","created_at":"2026-05-18T01:18:49Z"},{"alias_kind":"pith_short_12","alias_value":"VVMBPRG7RQJ5","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VVMBPRG7RQJ52DRC","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VVMBPRG7","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:54ae96154c070365578105b6c7d5a97f9305c85a1eba30f70ef7d81593d20630","target":"graph","created_at":"2026-05-18T01:18:49Z","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":"Spatial Pyramid Matching (SPM) and its variants have achieved a lot of success in image classification. The main difference among them is their encoding schemes. For example, ScSPM incorporates Sparse Code (SC) instead of Vector Quantization (VQ) into the framework of SPM. Although the methods achieve a higher recognition rate than the traditional SPM, they consume more time to encode the local descriptors extracted from the image. In this paper, we propose using Low Rank Representation (LRR) to encode the descriptors under the framework of SPM. Different from SC, LRR considers the group effec","authors_text":"Bo Zhao, Huajin Tang, Rui Yan, Xi Peng, Zhang Yi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T13:35:34Z","title":"Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.5786","kind":"arxiv","version":2},"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":"sha256:2f0e1af4eeb4f0063033940b3dae069900d7f48c55f60cc23bad90b87c1fd952","target":"record","created_at":"2026-05-18T01:18:49Z","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":"ce7ffad86f9bf1d880363414d0456845bba9b2ec1e06aaf50e1624a3586e9f29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-22T13:35:34Z","title_canon_sha256":"10f6d5298f23c8137e1ba317d587710b6a0af9dbb7edc3d92eb867343ae2f321"},"schema_version":"1.0","source":{"id":"1409.5786","kind":"arxiv","version":2}},"canonical_sha256":"ad5817c4df8c13dd0e229b164815ed1e1dbf8b0bdb4c8b6e2c4eb303b1292277","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad5817c4df8c13dd0e229b164815ed1e1dbf8b0bdb4c8b6e2c4eb303b1292277","first_computed_at":"2026-05-18T01:18:49.477569Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:49.477569Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bvkq28khAYJ0+LngQyx2WuPFaQNriHdFVZAWOigwRke/42Eb7lkTNUxeYKaKlEmyIAmfpgogQlI9idJERpb+Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:49.478186Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.5786","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f0e1af4eeb4f0063033940b3dae069900d7f48c55f60cc23bad90b87c1fd952","sha256:54ae96154c070365578105b6c7d5a97f9305c85a1eba30f70ef7d81593d20630"],"state_sha256":"b4f46644aca25db0fd759b485dc09cef022b1a3300538aef197d87a3b23f9ed2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PupV3WpNpyb9iAmwAvtxr6zOnbH/nF0/7cUg5dD/1wMO7RZps0etscisifl5q0pHsGCxyln22VeyHrRvvclrCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T13:53:57.674013Z","bundle_sha256":"71c668e1a641711b7b091c5cdfc195a3c120161dbeffac997caf5d2e3dc4972f"}}