{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:S3PFFIVCRUO4JVJGRTJOVRBXNM","short_pith_number":"pith:S3PFFIVC","canonical_record":{"source":{"id":"1512.03384","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-10T19:50:50Z","cross_cats_sorted":[],"title_canon_sha256":"704f1e1f12ff9171375230fef1e76b5db4b1f678fbd651111ae3a3593788d6a9","abstract_canon_sha256":"099720dd70cac7fb352d37bf716b9c34a8e4c44fc481753953ff1a67a2a948ab"},"schema_version":"1.0"},"canonical_sha256":"96de52a2a28d1dc4d5268cd2eac4376b227cd3c0d20899ab70166b98bb4a9063","source":{"kind":"arxiv","id":"1512.03384","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03384","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03384v3","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03384","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"pith_short_12","alias_value":"S3PFFIVCRUO4","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"S3PFFIVCRUO4JVJG","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"S3PFFIVC","created_at":"2026-05-18T12:29:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:S3PFFIVCRUO4JVJGRTJOVRBXNM","target":"record","payload":{"canonical_record":{"source":{"id":"1512.03384","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-10T19:50:50Z","cross_cats_sorted":[],"title_canon_sha256":"704f1e1f12ff9171375230fef1e76b5db4b1f678fbd651111ae3a3593788d6a9","abstract_canon_sha256":"099720dd70cac7fb352d37bf716b9c34a8e4c44fc481753953ff1a67a2a948ab"},"schema_version":"1.0"},"canonical_sha256":"96de52a2a28d1dc4d5268cd2eac4376b227cd3c0d20899ab70166b98bb4a9063","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:44.125771Z","signature_b64":"UjhxGM9nIiVYcAwSOGTydH2IJqsf8WChcFZHgz4PKc19DAuAVPIi8vQ7jMjIAVa6OQ8FQlJeSQv4L1HZcsgrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96de52a2a28d1dc4d5268cd2eac4376b227cd3c0d20899ab70166b98bb4a9063","last_reissued_at":"2026-05-18T00:46:44.125067Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:44.125067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.03384","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9NgDMzJZfYfEBNJiVGocWVF+ux2d7cz137k9QEWfKdQHLKReQ21ugr1diC+jrBUXQ1B4wcFFjSToYszm6KY7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:17:30.591099Z"},"content_sha256":"23adb683ec81bd0b7143c815edd6c2811818cfdd5528b67c6e23c1adcd58ba45","schema_version":"1.0","event_id":"sha256:23adb683ec81bd0b7143c815edd6c2811818cfdd5528b67c6e23c1adcd58ba45"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:S3PFFIVCRUO4JVJGRTJOVRBXNM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bharat Singh, Larry S. Davis, Vlad I. Morariu, Xintong Han","submitted_at":"2015-12-10T19:50:50Z","abstract_excerpt":"VRFP is a real-time video retrieval framework based on short text input queries, which obtains weakly labeled training images from the web after the query is known. The retrieved web images representing the query and each database video are treated as unordered collections of images, and each collection is represented using a single Fisher Vector built on CNN features. Our experiments show that a Fisher Vector is robust to noise present in web images and compares favorably in terms of accuracy to other standard representations. While a Fisher Vector can be constructed efficiently for a new que"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03384","kind":"arxiv","version":3},"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":"2026-05-18T00:46:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UUwK6Opb0FII5FHsdEhtxCu/cWUMyTIwqt4j/YZGeRsn94cPeGKqOtDEPIC6/24m8xxBkdMK89q5oY/4XN1JDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T14:17:30.591504Z"},"content_sha256":"9b909106ebb851a6d800687fa0e5da21d5faa2771443dd6b6162fabca9c7ce8a","schema_version":"1.0","event_id":"sha256:9b909106ebb851a6d800687fa0e5da21d5faa2771443dd6b6162fabca9c7ce8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/bundle.json","state_url":"https://pith.science/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/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":"2026-06-09T14:17:30Z","links":{"resolver":"https://pith.science/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM","bundle":"https://pith.science/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/bundle.json","state":"https://pith.science/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3PFFIVCRUO4JVJGRTJOVRBXNM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:S3PFFIVCRUO4JVJGRTJOVRBXNM","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":"099720dd70cac7fb352d37bf716b9c34a8e4c44fc481753953ff1a67a2a948ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-10T19:50:50Z","title_canon_sha256":"704f1e1f12ff9171375230fef1e76b5db4b1f678fbd651111ae3a3593788d6a9"},"schema_version":"1.0","source":{"id":"1512.03384","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.03384","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"arxiv_version","alias_value":"1512.03384v3","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.03384","created_at":"2026-05-18T00:46:44Z"},{"alias_kind":"pith_short_12","alias_value":"S3PFFIVCRUO4","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"S3PFFIVCRUO4JVJG","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"S3PFFIVC","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:9b909106ebb851a6d800687fa0e5da21d5faa2771443dd6b6162fabca9c7ce8a","target":"graph","created_at":"2026-05-18T00:46:44Z","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":"VRFP is a real-time video retrieval framework based on short text input queries, which obtains weakly labeled training images from the web after the query is known. The retrieved web images representing the query and each database video are treated as unordered collections of images, and each collection is represented using a single Fisher Vector built on CNN features. Our experiments show that a Fisher Vector is robust to noise present in web images and compares favorably in terms of accuracy to other standard representations. While a Fisher Vector can be constructed efficiently for a new que","authors_text":"Bharat Singh, Larry S. Davis, Vlad I. Morariu, Xintong Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-10T19:50:50Z","title":"VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.03384","kind":"arxiv","version":3},"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":"sha256:23adb683ec81bd0b7143c815edd6c2811818cfdd5528b67c6e23c1adcd58ba45","target":"record","created_at":"2026-05-18T00:46:44Z","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":"099720dd70cac7fb352d37bf716b9c34a8e4c44fc481753953ff1a67a2a948ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-12-10T19:50:50Z","title_canon_sha256":"704f1e1f12ff9171375230fef1e76b5db4b1f678fbd651111ae3a3593788d6a9"},"schema_version":"1.0","source":{"id":"1512.03384","kind":"arxiv","version":3}},"canonical_sha256":"96de52a2a28d1dc4d5268cd2eac4376b227cd3c0d20899ab70166b98bb4a9063","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96de52a2a28d1dc4d5268cd2eac4376b227cd3c0d20899ab70166b98bb4a9063","first_computed_at":"2026-05-18T00:46:44.125067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:44.125067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UjhxGM9nIiVYcAwSOGTydH2IJqsf8WChcFZHgz4PKc19DAuAVPIi8vQ7jMjIAVa6OQ8FQlJeSQv4L1HZcsgrAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:44.125771Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.03384","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23adb683ec81bd0b7143c815edd6c2811818cfdd5528b67c6e23c1adcd58ba45","sha256:9b909106ebb851a6d800687fa0e5da21d5faa2771443dd6b6162fabca9c7ce8a"],"state_sha256":"5af8e90959681612704904a877018311fa21f3772befbe26c00b5f2524a13c72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ofmnAe+tSs2IGcDZNeypP9riqz3l+gyYcajHzjon6shWYrGxpuCiexGtMkdhr8lFsN16a1uvmbjcc4tIAldRCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T14:17:30.593494Z","bundle_sha256":"3ba698688e34c22ce766e9876cc52bda3e33fa6f73effc5eaf2b862d9d012c4b"}}