{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JMZY5CVCPSMKHCHOGI6M75VKZJ","short_pith_number":"pith:JMZY5CVC","canonical_record":{"source":{"id":"1711.08106","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T02:10:03Z","cross_cats_sorted":[],"title_canon_sha256":"3e23c4b5e1d79d7bf5a063f03f31941a051db0ba3ab066e796f013a3653f17af","abstract_canon_sha256":"d03e6d0cc673cb909573f926c27d8e7c04a642e1dd4ddef17ce0fbf0b12cb96b"},"schema_version":"1.0"},"canonical_sha256":"4b338e8aa27c98a388ee323ccff6aaca4de1205bbf2f310b66d5e729c31418a5","source":{"kind":"arxiv","id":"1711.08106","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08106","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08106v2","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08106","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"JMZY5CVCPSMK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JMZY5CVCPSMKHCHO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JMZY5CVC","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JMZY5CVCPSMKHCHOGI6M75VKZJ","target":"record","payload":{"canonical_record":{"source":{"id":"1711.08106","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T02:10:03Z","cross_cats_sorted":[],"title_canon_sha256":"3e23c4b5e1d79d7bf5a063f03f31941a051db0ba3ab066e796f013a3653f17af","abstract_canon_sha256":"d03e6d0cc673cb909573f926c27d8e7c04a642e1dd4ddef17ce0fbf0b12cb96b"},"schema_version":"1.0"},"canonical_sha256":"4b338e8aa27c98a388ee323ccff6aaca4de1205bbf2f310b66d5e729c31418a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:11.349125Z","signature_b64":"E9s9f8maYtGYWbeVJYXquqppxWQU/ee2CgXG4p0133oWTnNuYo+PDWxo+GguBoSQBPfBtjFnKxg+Mo0guW8WDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b338e8aa27c98a388ee323ccff6aaca4de1205bbf2f310b66d5e729c31418a5","last_reissued_at":"2026-05-18T00:19:11.348290Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:11.348290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.08106","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3lVlhyWbF/7QgZMHoEQMEr+nAZjhT5/0obNN5///NKE4IEMlz9Godku3TuQkAihA91fQSdE5eou7+nADCkWyCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T20:34:37.906280Z"},"content_sha256":"cf7fd27227697f395d2cb99378782c84c9bcce4ac93ad9e957584ddbfcb78246","schema_version":"1.0","event_id":"sha256:cf7fd27227697f395d2cb99378782c84c9bcce4ac93ad9e957584ddbfcb78246"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JMZY5CVCPSMKHCHOGI6M75VKZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qian Yu, Tao Xiang, Timothy M. Hospedales, Xiaobin Chang, Yi-Zhe Song","submitted_at":"2017-11-22T02:10:03Z","abstract_excerpt":"Many vision problems require matching images of object instances across different domains. These include fine-grained sketch-based image retrieval (FG-SBIR) and Person Re-identification (person ReID). Existing approaches attempt to learn a joint embedding space where images from different domains can be directly compared. In most cases, this space is defined by the output of the final layer of a deep neural network (DNN), which primarily contains features of a high semantic level. In this paper, we argue that both high and mid-level features are relevant for cross-domain instance matching (CDI"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08106","kind":"arxiv","version":2},"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":"2026-05-18T00:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VM5GJE7iSmZ2VbFZ3kCw6pvP7AT9R+qxcYj2JCRMeaUFlwvM9CmlpJgjZi2eFUMNLDRk+wdEW38J79d5tQhzBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-19T20:34:37.906647Z"},"content_sha256":"a8126281e552def8d4a2667a5ceb886afaa9834a6aaba7402ab1e3dfdc4ab36b","schema_version":"1.0","event_id":"sha256:a8126281e552def8d4a2667a5ceb886afaa9834a6aaba7402ab1e3dfdc4ab36b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/bundle.json","state_url":"https://pith.science/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/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":"2026-05-19T20:34:37Z","links":{"resolver":"https://pith.science/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ","bundle":"https://pith.science/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/bundle.json","state":"https://pith.science/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JMZY5CVCPSMKHCHOGI6M75VKZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JMZY5CVCPSMKHCHOGI6M75VKZJ","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":"d03e6d0cc673cb909573f926c27d8e7c04a642e1dd4ddef17ce0fbf0b12cb96b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T02:10:03Z","title_canon_sha256":"3e23c4b5e1d79d7bf5a063f03f31941a051db0ba3ab066e796f013a3653f17af"},"schema_version":"1.0","source":{"id":"1711.08106","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.08106","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"1711.08106v2","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.08106","created_at":"2026-05-18T00:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"JMZY5CVCPSMK","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JMZY5CVCPSMKHCHO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JMZY5CVC","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:a8126281e552def8d4a2667a5ceb886afaa9834a6aaba7402ab1e3dfdc4ab36b","target":"graph","created_at":"2026-05-18T00:19:11Z","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":"Many vision problems require matching images of object instances across different domains. These include fine-grained sketch-based image retrieval (FG-SBIR) and Person Re-identification (person ReID). Existing approaches attempt to learn a joint embedding space where images from different domains can be directly compared. In most cases, this space is defined by the output of the final layer of a deep neural network (DNN), which primarily contains features of a high semantic level. In this paper, we argue that both high and mid-level features are relevant for cross-domain instance matching (CDI","authors_text":"Qian Yu, Tao Xiang, Timothy M. Hospedales, Xiaobin Chang, Yi-Zhe Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T02:10:03Z","title":"The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.08106","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:cf7fd27227697f395d2cb99378782c84c9bcce4ac93ad9e957584ddbfcb78246","target":"record","created_at":"2026-05-18T00:19:11Z","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":"d03e6d0cc673cb909573f926c27d8e7c04a642e1dd4ddef17ce0fbf0b12cb96b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-22T02:10:03Z","title_canon_sha256":"3e23c4b5e1d79d7bf5a063f03f31941a051db0ba3ab066e796f013a3653f17af"},"schema_version":"1.0","source":{"id":"1711.08106","kind":"arxiv","version":2}},"canonical_sha256":"4b338e8aa27c98a388ee323ccff6aaca4de1205bbf2f310b66d5e729c31418a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b338e8aa27c98a388ee323ccff6aaca4de1205bbf2f310b66d5e729c31418a5","first_computed_at":"2026-05-18T00:19:11.348290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:11.348290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E9s9f8maYtGYWbeVJYXquqppxWQU/ee2CgXG4p0133oWTnNuYo+PDWxo+GguBoSQBPfBtjFnKxg+Mo0guW8WDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:11.349125Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.08106","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf7fd27227697f395d2cb99378782c84c9bcce4ac93ad9e957584ddbfcb78246","sha256:a8126281e552def8d4a2667a5ceb886afaa9834a6aaba7402ab1e3dfdc4ab36b"],"state_sha256":"7b0cf394f44a49cbd98d409e6407c81a04698f0d84e93e918517d1a2ecf19e65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Aj6cnMqKNCvgFwFgflThLqc/rbR61B83GIPDC/bKSzKcNPFDS40jRMWHoNaEnyYgW16s5EWTcE0PQ4dCAZXDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-19T20:34:37.908640Z","bundle_sha256":"d6a8c6f54612668012025f6af4f591b5f0456074135acd4d64d53265720b4b9a"}}