{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AKIAWN7US4KDAWRGZY7MO26JKC","short_pith_number":"pith:AKIAWN7U","canonical_record":{"source":{"id":"2303.13779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-24T03:34:33Z","cross_cats_sorted":[],"title_canon_sha256":"578863d6e256a115c14fbaa0533dde21174d3aafe1b41ace3bb154e87a329e4e","abstract_canon_sha256":"c44ab9f19e5e3dcf81f3b382a58f2daeb93ee74b63b31351a1e4cb06ba3ae887"},"schema_version":"1.0"},"canonical_sha256":"02900b37f49714305a26ce3ec76bc950a625cd35b3c3c73bb47d62e15970ff80","source":{"kind":"arxiv","id":"2303.13779","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13779","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13779v1","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13779","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_12","alias_value":"AKIAWN7US4KD","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_16","alias_value":"AKIAWN7US4KDAWRG","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_8","alias_value":"AKIAWN7U","created_at":"2026-07-05T05:54:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AKIAWN7US4KDAWRGZY7MO26JKC","target":"record","payload":{"canonical_record":{"source":{"id":"2303.13779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-24T03:34:33Z","cross_cats_sorted":[],"title_canon_sha256":"578863d6e256a115c14fbaa0533dde21174d3aafe1b41ace3bb154e87a329e4e","abstract_canon_sha256":"c44ab9f19e5e3dcf81f3b382a58f2daeb93ee74b63b31351a1e4cb06ba3ae887"},"schema_version":"1.0"},"canonical_sha256":"02900b37f49714305a26ce3ec76bc950a625cd35b3c3c73bb47d62e15970ff80","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:54:19.721323Z","signature_b64":"tPjIezYHuj+iV015it0S+FYWKz5fui7QwhCRPp5mOoDDS7kvjm+2WYHhPzgBubZygwcndoIWE2lKfVN5s5QCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02900b37f49714305a26ce3ec76bc950a625cd35b3c3c73bb47d62e15970ff80","last_reissued_at":"2026-07-05T05:54:19.720800Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:54:19.720800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.13779","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":"2026-07-05T05:54:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mPg4EOLZNYFpjx4FB3ASR1RPLts6Q9syMIbVkSVCuu1gGDsvMMGf1xoSNaNSeRn9p/aSzTsgOMDTNbi4FjvRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:59:12.521449Z"},"content_sha256":"d38302fc877730eec49fefbca390b9d5aed086cc1d4229b081e45381579d5c88","schema_version":"1.0","event_id":"sha256:d38302fc877730eec49fefbca390b9d5aed086cc1d4229b081e45381579d5c88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AKIAWN7US4KDAWRGZY7MO26JKC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Subhadeep Koley, Tao Xiang, Yi-Zhe Song","submitted_at":"2023-03-24T03:34:33Z","abstract_excerpt":"This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ~11%. This is not via complicated design though, but by addressing two critical issues facing the community (i) the gold standard triplet loss does not enforce holistic latent space geometry, and (ii) there are never enough sketches to train a high accuracy model. For the former, we propose a simple modification to the standard triplet loss, that explicitly enforces separation amongst photos/sketch instances. For the latter, we p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13779","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.13779/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T05:54:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dBjfOF8D3MKa6GT3ybhTDHae08qwAV+QzyjOIBc9U8hVO+w2sSdhoK6vsuFIALHIhH7rdyqOLl2vUE0o0lpSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:59:12.521933Z"},"content_sha256":"fcffa6976ac3535cd34712f4a0419ea65d04aa135c169994ca9630db9af05977","schema_version":"1.0","event_id":"sha256:fcffa6976ac3535cd34712f4a0419ea65d04aa135c169994ca9630db9af05977"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AKIAWN7US4KDAWRGZY7MO26JKC/bundle.json","state_url":"https://pith.science/pith/AKIAWN7US4KDAWRGZY7MO26JKC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AKIAWN7US4KDAWRGZY7MO26JKC/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":"2026-08-05T10:59:12Z","links":{"resolver":"https://pith.science/pith/AKIAWN7US4KDAWRGZY7MO26JKC","bundle":"https://pith.science/pith/AKIAWN7US4KDAWRGZY7MO26JKC/bundle.json","state":"https://pith.science/pith/AKIAWN7US4KDAWRGZY7MO26JKC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AKIAWN7US4KDAWRGZY7MO26JKC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AKIAWN7US4KDAWRGZY7MO26JKC","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":"c44ab9f19e5e3dcf81f3b382a58f2daeb93ee74b63b31351a1e4cb06ba3ae887","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-24T03:34:33Z","title_canon_sha256":"578863d6e256a115c14fbaa0533dde21174d3aafe1b41ace3bb154e87a329e4e"},"schema_version":"1.0","source":{"id":"2303.13779","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13779","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13779v1","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13779","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_12","alias_value":"AKIAWN7US4KD","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_16","alias_value":"AKIAWN7US4KDAWRG","created_at":"2026-07-05T05:54:19Z"},{"alias_kind":"pith_short_8","alias_value":"AKIAWN7U","created_at":"2026-07-05T05:54:19Z"}],"graph_snapshots":[{"event_id":"sha256:fcffa6976ac3535cd34712f4a0419ea65d04aa135c169994ca9630db9af05977","target":"graph","created_at":"2026-07-05T05:54:19Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.13779/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ~11%. This is not via complicated design though, but by addressing two critical issues facing the community (i) the gold standard triplet loss does not enforce holistic latent space geometry, and (ii) there are never enough sketches to train a high accuracy model. For the former, we propose a simple modification to the standard triplet loss, that explicitly enforces separation amongst photos/sketch instances. For the latter, we p","authors_text":"Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Soumitri Chattopadhyay, Subhadeep Koley, Tao Xiang, Yi-Zhe Song","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-24T03:34:33Z","title":"Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13779","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:d38302fc877730eec49fefbca390b9d5aed086cc1d4229b081e45381579d5c88","target":"record","created_at":"2026-07-05T05:54:19Z","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":"c44ab9f19e5e3dcf81f3b382a58f2daeb93ee74b63b31351a1e4cb06ba3ae887","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-24T03:34:33Z","title_canon_sha256":"578863d6e256a115c14fbaa0533dde21174d3aafe1b41ace3bb154e87a329e4e"},"schema_version":"1.0","source":{"id":"2303.13779","kind":"arxiv","version":1}},"canonical_sha256":"02900b37f49714305a26ce3ec76bc950a625cd35b3c3c73bb47d62e15970ff80","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02900b37f49714305a26ce3ec76bc950a625cd35b3c3c73bb47d62e15970ff80","first_computed_at":"2026-07-05T05:54:19.720800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:54:19.720800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tPjIezYHuj+iV015it0S+FYWKz5fui7QwhCRPp5mOoDDS7kvjm+2WYHhPzgBubZygwcndoIWE2lKfVN5s5QCCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:54:19.721323Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.13779","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d38302fc877730eec49fefbca390b9d5aed086cc1d4229b081e45381579d5c88","sha256:fcffa6976ac3535cd34712f4a0419ea65d04aa135c169994ca9630db9af05977"],"state_sha256":"9b751df9eca6709b2768b13708199ebb6af170f62223c6fc5edd162cc0ad9569"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9qUH4wM8niHMMeNkXMaarX9lvVArGufjG8XhIZC2+eB7StsLxXZaYgEouwPTy4/yMtsqYDc/CLSDeiWy72yQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T10:59:12.525187Z","bundle_sha256":"0313321d1b05f605e3abae392eda9c04ee285239bc8722cc803c4ebfd097c6b4"}}