{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:YP6QSQVYJ6CAGAKKVVHGYBQCR3","short_pith_number":"pith:YP6QSQVY","canonical_record":{"source":{"id":"1604.01146","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-05T06:13:06Z","cross_cats_sorted":[],"title_canon_sha256":"2ccf25151e4f096fe9ac75bfa6df8e7f70102f69cb762403f6a98f42d5425af0","abstract_canon_sha256":"f8ab51341f99a274083c40c0fba52d5c680f0c7a43f2e6e7117c8169a717b178"},"schema_version":"1.0"},"canonical_sha256":"c3fd0942b84f8403014aad4e6c06028ee80384cd323fe5fc82188179745eb2b3","source":{"kind":"arxiv","id":"1604.01146","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.01146","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"1604.01146v1","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.01146","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YP6QSQVYJ6CA","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YP6QSQVYJ6CAGAKK","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YP6QSQVY","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:YP6QSQVYJ6CAGAKKVVHGYBQCR3","target":"record","payload":{"canonical_record":{"source":{"id":"1604.01146","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-05T06:13:06Z","cross_cats_sorted":[],"title_canon_sha256":"2ccf25151e4f096fe9ac75bfa6df8e7f70102f69cb762403f6a98f42d5425af0","abstract_canon_sha256":"f8ab51341f99a274083c40c0fba52d5c680f0c7a43f2e6e7117c8169a717b178"},"schema_version":"1.0"},"canonical_sha256":"c3fd0942b84f8403014aad4e6c06028ee80384cd323fe5fc82188179745eb2b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:44.645113Z","signature_b64":"fMG2c5qhl4HUM1w/rNJdOwaEW8m8jMZfJbh/4gm37LY+UWoHxnno+KXib/nOf8l8MulVfyq0ZZJkYxMGZAEvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3fd0942b84f8403014aad4e6c06028ee80384cd323fe5fc82188179745eb2b3","last_reissued_at":"2026-05-18T01:17:44.644419Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:44.644419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.01146","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qpfos9wjgx2llfFw9OIzBjlZV8n+KM+p1FzRPv2ts6RZSXARiPL9SWKeU99KlOhfiRWIZcqRWgyJ22X6q2A4Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T10:29:00.403957Z"},"content_sha256":"d72526db68b87301fc0a163624e49852b627ccd1a527ad8f1bfcda0b2273fc48","schema_version":"1.0","event_id":"sha256:d72526db68b87301fc0a163624e49852b627ccd1a527ad8f1bfcda0b2273fc48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:YP6QSQVYJ6CAGAKKVVHGYBQCR3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Less is more: zero-shot learning from online textual documents with noise suppression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anton van den Hengel, Chunhua Shen, Lingqiao Liu, Ruizhi Qiao","submitted_at":"2016-04-05T06:13:06Z","abstract_excerpt":"Classifying a visual concept merely from its associated online textual source, such as a Wikipedia article, is an attractive research topic in zero-shot learning because it alleviates the burden of manually collecting semantic attributes. Several recent works have pursued this approach by exploring various ways of connecting the visual and text domains. This paper revisits this idea by stepping further to consider one important factor: the textual representation is usually too noisy for the zero-shot learning application. This consideration motivates us to design a simple-but-effective zero-sh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.01146","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JyCKPVjvceMNZBelbddMK5xy9ONry5tKH6FDPbeDRB9BlBYqCRNVjYd8KljR8NGxfo/BDoselWaDoOp4km5HCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T10:29:00.404309Z"},"content_sha256":"3ad6bdba5e3b7e380c29cb863b5ce62a01e3413f08fb22ff68e648021753eeed","schema_version":"1.0","event_id":"sha256:3ad6bdba5e3b7e380c29cb863b5ce62a01e3413f08fb22ff68e648021753eeed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/bundle.json","state_url":"https://pith.science/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/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":"2026-06-29T10:29:00Z","links":{"resolver":"https://pith.science/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3","bundle":"https://pith.science/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/bundle.json","state":"https://pith.science/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YP6QSQVYJ6CAGAKKVVHGYBQCR3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YP6QSQVYJ6CAGAKKVVHGYBQCR3","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":"f8ab51341f99a274083c40c0fba52d5c680f0c7a43f2e6e7117c8169a717b178","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-05T06:13:06Z","title_canon_sha256":"2ccf25151e4f096fe9ac75bfa6df8e7f70102f69cb762403f6a98f42d5425af0"},"schema_version":"1.0","source":{"id":"1604.01146","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.01146","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"1604.01146v1","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.01146","created_at":"2026-05-18T01:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YP6QSQVYJ6CA","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YP6QSQVYJ6CAGAKK","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YP6QSQVY","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:3ad6bdba5e3b7e380c29cb863b5ce62a01e3413f08fb22ff68e648021753eeed","target":"graph","created_at":"2026-05-18T01:17:44Z","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":"Classifying a visual concept merely from its associated online textual source, such as a Wikipedia article, is an attractive research topic in zero-shot learning because it alleviates the burden of manually collecting semantic attributes. Several recent works have pursued this approach by exploring various ways of connecting the visual and text domains. This paper revisits this idea by stepping further to consider one important factor: the textual representation is usually too noisy for the zero-shot learning application. This consideration motivates us to design a simple-but-effective zero-sh","authors_text":"Anton van den Hengel, Chunhua Shen, Lingqiao Liu, Ruizhi Qiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-05T06:13:06Z","title":"Less is more: zero-shot learning from online textual documents with noise suppression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.01146","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:d72526db68b87301fc0a163624e49852b627ccd1a527ad8f1bfcda0b2273fc48","target":"record","created_at":"2026-05-18T01:17:44Z","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":"f8ab51341f99a274083c40c0fba52d5c680f0c7a43f2e6e7117c8169a717b178","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-05T06:13:06Z","title_canon_sha256":"2ccf25151e4f096fe9ac75bfa6df8e7f70102f69cb762403f6a98f42d5425af0"},"schema_version":"1.0","source":{"id":"1604.01146","kind":"arxiv","version":1}},"canonical_sha256":"c3fd0942b84f8403014aad4e6c06028ee80384cd323fe5fc82188179745eb2b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3fd0942b84f8403014aad4e6c06028ee80384cd323fe5fc82188179745eb2b3","first_computed_at":"2026-05-18T01:17:44.644419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:44.644419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fMG2c5qhl4HUM1w/rNJdOwaEW8m8jMZfJbh/4gm37LY+UWoHxnno+KXib/nOf8l8MulVfyq0ZZJkYxMGZAEvAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:44.645113Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.01146","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d72526db68b87301fc0a163624e49852b627ccd1a527ad8f1bfcda0b2273fc48","sha256:3ad6bdba5e3b7e380c29cb863b5ce62a01e3413f08fb22ff68e648021753eeed"],"state_sha256":"221afb883aa581d4ccca2c5f28f6705124354f8e6ff6cfbb3ed4f85c14fc36fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GbFIhnigRFwFFtdgrnIoDnAmehmuuIrftEq5yOIzSH/crg6eGhSMnJzZYVMGo+WxhFC2L6Q0ODaH1wN5onNgAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T10:29:00.406779Z","bundle_sha256":"6f0816eaa49f83e1b2a4330b203eb2ad34a22b268d3abef652ba2e9133aeb91d"}}