{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:7PTLGDKIP5ZXGJF2OM4AX4TK3L","short_pith_number":"pith:7PTLGDKI","schema_version":"1.0","canonical_sha256":"fbe6b30d487f737324ba73380bf26adaf9f0d62165ef021a3d75a76b1f12a657","source":{"kind":"arxiv","id":"1410.6264","version":1},"attestation_state":"computed","paper":{"title":"Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CV","authors_text":"Alessandro Perina, Nebojsa Jojic","submitted_at":"2014-10-23T07:04:22Z","abstract_excerpt":"In recent scene recognition research images or large image regions are often represented as disorganized \"bags\" of features which can then be analyzed using models originally developed to capture co-variation of word counts in text. However, image feature counts are likely to be constrained in different ways than word counts in text. For example, as a camera pans upwards from a building entrance over its first few floors and then further up into the sky Fig. 1, some feature counts in the image drop while others rise -- only to drop again giving way to features found more often at higher elevat"},"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":"1410.6264","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-10-23T07:04:22Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"68c9a8094ef02ef78df327ff7c641ebfcb3c35bbd487863024073c30bdd724c7","abstract_canon_sha256":"ac67bffd411fa94c76d3de243d2bbe643e71059d69089bb3ef73fbc892a1a4df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:39:18.621003Z","signature_b64":"DFNDg8Q5XhN0x3MeTgoXdajioTqG8FyUFlsjAl756QWcU3tGYD542RbdG6HIjUIYP5loaJ6tmGUqPCQ0pFFsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fbe6b30d487f737324ba73380bf26adaf9f0d62165ef021a3d75a76b1f12a657","last_reissued_at":"2026-05-18T02:39:18.620541Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:39:18.620541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CV","authors_text":"Alessandro Perina, Nebojsa Jojic","submitted_at":"2014-10-23T07:04:22Z","abstract_excerpt":"In recent scene recognition research images or large image regions are often represented as disorganized \"bags\" of features which can then be analyzed using models originally developed to capture co-variation of word counts in text. However, image feature counts are likely to be constrained in different ways than word counts in text. For example, as a camera pans upwards from a building entrance over its first few floors and then further up into the sky Fig. 1, some feature counts in the image drop while others rise -- only to drop again giving way to features found more often at higher elevat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.6264","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1410.6264","created_at":"2026-05-18T02:39:18.620603+00:00"},{"alias_kind":"arxiv_version","alias_value":"1410.6264v1","created_at":"2026-05-18T02:39:18.620603+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.6264","created_at":"2026-05-18T02:39:18.620603+00:00"},{"alias_kind":"pith_short_12","alias_value":"7PTLGDKIP5ZX","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_16","alias_value":"7PTLGDKIP5ZXGJF2","created_at":"2026-05-18T12:28:19.803747+00:00"},{"alias_kind":"pith_short_8","alias_value":"7PTLGDKI","created_at":"2026-05-18T12:28:19.803747+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/7PTLGDKIP5ZXGJF2OM4AX4TK3L","json":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L.json","graph_json":"https://pith.science/api/pith-number/7PTLGDKIP5ZXGJF2OM4AX4TK3L/graph.json","events_json":"https://pith.science/api/pith-number/7PTLGDKIP5ZXGJF2OM4AX4TK3L/events.json","paper":"https://pith.science/paper/7PTLGDKI"},"agent_actions":{"view_html":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L","download_json":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L.json","view_paper":"https://pith.science/paper/7PTLGDKI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1410.6264&json=true","fetch_graph":"https://pith.science/api/pith-number/7PTLGDKIP5ZXGJF2OM4AX4TK3L/graph.json","fetch_events":"https://pith.science/api/pith-number/7PTLGDKIP5ZXGJF2OM4AX4TK3L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L/action/storage_attestation","attest_author":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L/action/author_attestation","sign_citation":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L/action/citation_signature","submit_replication":"https://pith.science/pith/7PTLGDKIP5ZXGJF2OM4AX4TK3L/action/replication_record"}},"created_at":"2026-05-18T02:39:18.620603+00:00","updated_at":"2026-05-18T02:39:18.620603+00:00"}