{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:3XUV3JVKEN4M6BBI64SZIPOCKX","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":"184c97def97f5a88cdc442274d73fae835866a3096ac9b088ea9fc6319488d4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T16:07:29Z","title_canon_sha256":"0b2af4cf2185c9755e21e5174b1ab5828654a0aa57be13bdeacd9a54225e664d"},"schema_version":"1.0","source":{"id":"1807.08692","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08692","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08692v2","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08692","created_at":"2026-05-18T00:00:08Z"},{"alias_kind":"pith_short_12","alias_value":"3XUV3JVKEN4M","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"3XUV3JVKEN4M6BBI","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"3XUV3JVK","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:7e69c36825ca91c62c8cf25744fd02664523bdad2f4748ab7dd20c12d7197cd3","target":"graph","created_at":"2026-05-18T00:00:08Z","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":"State of the art image retrieval performance is achieved with CNN features and manifold ranking using a k-NN similarity graph that is pre-computed off-line. The two most successful existing approaches are temporal filtering, where manifold ranking amounts to solving a sparse linear system online, and spectral filtering, where eigen-decomposition of the adjacency matrix is performed off-line and then manifold ranking amounts to dot-product search online. The former suffers from expensive queries and the latter from significant space overhead. Here we introduce a novel, theoretically well-founde","authors_text":"Ahmet Iscen, Giorgos Tolias, Ondrej Chum, Teddy Furon, Yannis Avrithis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T16:07:29Z","title":"Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08692","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":"sha256:0774d93c931c6d35d7daec07470042eb25133ad8ea8b1bd9928af1757ada349a","target":"record","created_at":"2026-05-18T00:00:08Z","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":"184c97def97f5a88cdc442274d73fae835866a3096ac9b088ea9fc6319488d4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T16:07:29Z","title_canon_sha256":"0b2af4cf2185c9755e21e5174b1ab5828654a0aa57be13bdeacd9a54225e664d"},"schema_version":"1.0","source":{"id":"1807.08692","kind":"arxiv","version":2}},"canonical_sha256":"dde95da6aa2378cf0428f725943dc255c9285c5c9910ea8178ac848606624e08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dde95da6aa2378cf0428f725943dc255c9285c5c9910ea8178ac848606624e08","first_computed_at":"2026-05-18T00:00:08.274746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:08.274746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zDjjqld5miqg+FeuaV40TYJYKSOwyks2ON6P0dTPKJnrXdd6j1EkNFVAbU5/X14ndCaLiHgXOE/OATXPs4NWDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:08.275185Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.08692","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0774d93c931c6d35d7daec07470042eb25133ad8ea8b1bd9928af1757ada349a","sha256:7e69c36825ca91c62c8cf25744fd02664523bdad2f4748ab7dd20c12d7197cd3"],"state_sha256":"625f800ef96af2d7eb164b394cd2ca21429c6169ce38e5723c11cb975ddedd6a"}