{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:X5P3KSCHJBOO3EMI7C5GHBTMH4","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":"f28000d557317236d09fbad8136018161604ac95de25c573e23662270a9091ca","cross_cats_sorted":["cs.CV","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-24T16:22:53Z","title_canon_sha256":"f5aadb2c8d809165f79d88b5c96b41e0f1ffbf447ae6df4b1077b5b3b7685fe2"},"schema_version":"1.0","source":{"id":"1705.08844","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.08844","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"arxiv_version","alias_value":"1705.08844v1","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.08844","created_at":"2026-05-18T00:43:44Z"},{"alias_kind":"pith_short_12","alias_value":"X5P3KSCHJBOO","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"X5P3KSCHJBOO3EMI","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"X5P3KSCH","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:2ce66a6f0d27bc2e9abe6500c1eada910b0818125fa4d01ef3142407ecc47a13","target":"graph","created_at":"2026-05-18T00:43:44Z","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":"The knowledge representation community has built general-purpose ontologies which contain large amounts of commonsense knowledge over relevant aspects of the world, including useful visual information, e.g.: \"a ball is used by a football player\", \"a tennis player is located at a tennis court\". Current state-of-the-art approaches for visual recognition do not exploit these rule-based knowledge sources. Instead, they learn recognition models directly from training examples. In this paper, we study how general-purpose ontologies---specifically, MIT's ConceptNet ontology---can improve the performa","authors_text":"Alvaro Soto, Cristian Ruz, Jorge A. Baier, Rodrigo Toro Icarte","cross_cats":["cs.CV","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-24T16:22:53Z","title":"How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.08844","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":"sha256:2479aa7b454e5651dc3240545bfefbd48669c4eccbf286aec879d49b59503c75","target":"record","created_at":"2026-05-18T00:43:44Z","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":"f28000d557317236d09fbad8136018161604ac95de25c573e23662270a9091ca","cross_cats_sorted":["cs.CV","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-24T16:22:53Z","title_canon_sha256":"f5aadb2c8d809165f79d88b5c96b41e0f1ffbf447ae6df4b1077b5b3b7685fe2"},"schema_version":"1.0","source":{"id":"1705.08844","kind":"arxiv","version":1}},"canonical_sha256":"bf5fb54847485ced9188f8ba63866c3f29c88ddad4fc34844033bd88b97b0a5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf5fb54847485ced9188f8ba63866c3f29c88ddad4fc34844033bd88b97b0a5c","first_computed_at":"2026-05-18T00:43:44.100125Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:44.100125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VnI0yOSklkuLEunOzyz9LsUCs8gAfPngqJBYhhpSJJe4oFrX9gmAJAVRfYOmu7h3YTWouUI2NACQDUb0LiUbAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:44.100675Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.08844","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2479aa7b454e5651dc3240545bfefbd48669c4eccbf286aec879d49b59503c75","sha256:2ce66a6f0d27bc2e9abe6500c1eada910b0818125fa4d01ef3142407ecc47a13"],"state_sha256":"4b18c6b4d57190985a3fa98e3271f4a9ce7ba183af915e6f4917fc8c5553ea23"}