{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HMRXW3E65RGGAVYRY7QJPLLM4P","short_pith_number":"pith:HMRXW3E6","canonical_record":{"source":{"id":"1904.09626","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-21T17:02:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a649693fd72530319c6c83a62b5079e16e8e685286df7fa8d63d9feea0236553","abstract_canon_sha256":"48353b6fca7c6eb3fc7d4ba6104b01da0590c4b6d96371fc6a9cc9fbd75b4f50"},"schema_version":"1.0"},"canonical_sha256":"3b237b6c9eec4c605711c7e097ad6ce3feabe8ebd1da6ab79718ecbf631e59c6","source":{"kind":"arxiv","id":"1904.09626","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09626","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09626v1","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09626","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"HMRXW3E65RGG","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HMRXW3E65RGGAVYR","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HMRXW3E6","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HMRXW3E65RGGAVYRY7QJPLLM4P","target":"record","payload":{"canonical_record":{"source":{"id":"1904.09626","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-21T17:02:56Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a649693fd72530319c6c83a62b5079e16e8e685286df7fa8d63d9feea0236553","abstract_canon_sha256":"48353b6fca7c6eb3fc7d4ba6104b01da0590c4b6d96371fc6a9cc9fbd75b4f50"},"schema_version":"1.0"},"canonical_sha256":"3b237b6c9eec4c605711c7e097ad6ce3feabe8ebd1da6ab79718ecbf631e59c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:03.797854Z","signature_b64":"dxKh+H13XGNio0ZwrPJNGVG4+Ly0axOt6Q0mhezPrcraLEqWCUNnBR/xr6aLsniMmxQTCuzzyuSKtzueo1/4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b237b6c9eec4c605711c7e097ad6ce3feabe8ebd1da6ab79718ecbf631e59c6","last_reissued_at":"2026-05-17T23:48:03.797409Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:03.797409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.09626","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":"2026-05-17T23:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUs0/GG5nAY0vOgp7X55bGatP38oBqzsciEBGtI/swCg49YSfkQgkH1O3n378shqXp87PCpRDDZH37MTsYgGBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T10:38:57.749694Z"},"content_sha256":"a8ac51fb5a0ac0eb1771903449b3152a34e308264cb0930ecea76c9127070baa","schema_version":"1.0","event_id":"sha256:a8ac51fb5a0ac0eb1771903449b3152a34e308264cb0930ecea76c9127070baa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HMRXW3E65RGGAVYRY7QJPLLM4P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Metric Learning Beyond Binary Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ivan Laptev, Minkyo Seo, Minsu Cho, Suha Kwak, Sungyeon Kim","submitted_at":"2019-04-21T17:02:56Z","abstract_excerpt":"Metric Learning for visual similarity has mostly adopted binary supervision indicating whether a pair of images are of the same class or not. Such a binary indicator covers only a limited subset of image relations, and is not sufficient to represent semantic similarity between images described by continuous and/or structured labels such as object poses, image captions, and scene graphs. Motivated by this, we present a novel method for deep metric learning using continuous labels. First, we propose a new triplet loss that allows distance ratios in the label space to be preserved in the learned "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09626","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":"2026-05-17T23:48:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2xXyBIOaggA6iI/M4JnnNRdwvwXk5eSVOsGRZVsYkCj8SORRqzoLAfwCJnKrUD9JreYKL3CFLUepv6VncHpOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T10:38:57.750116Z"},"content_sha256":"93e3e7887dbdfa6719724f9858ba3eabb8d8e6c3dee753b89cfacbaec8adce18","schema_version":"1.0","event_id":"sha256:93e3e7887dbdfa6719724f9858ba3eabb8d8e6c3dee753b89cfacbaec8adce18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/bundle.json","state_url":"https://pith.science/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/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":"2026-07-05T10:38:57Z","links":{"resolver":"https://pith.science/pith/HMRXW3E65RGGAVYRY7QJPLLM4P","bundle":"https://pith.science/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/bundle.json","state":"https://pith.science/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HMRXW3E65RGGAVYRY7QJPLLM4P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HMRXW3E65RGGAVYRY7QJPLLM4P","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":"48353b6fca7c6eb3fc7d4ba6104b01da0590c4b6d96371fc6a9cc9fbd75b4f50","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-21T17:02:56Z","title_canon_sha256":"a649693fd72530319c6c83a62b5079e16e8e685286df7fa8d63d9feea0236553"},"schema_version":"1.0","source":{"id":"1904.09626","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.09626","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.09626v1","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.09626","created_at":"2026-05-17T23:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"HMRXW3E65RGG","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HMRXW3E65RGGAVYR","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HMRXW3E6","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:93e3e7887dbdfa6719724f9858ba3eabb8d8e6c3dee753b89cfacbaec8adce18","target":"graph","created_at":"2026-05-17T23:48:03Z","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":"Metric Learning for visual similarity has mostly adopted binary supervision indicating whether a pair of images are of the same class or not. Such a binary indicator covers only a limited subset of image relations, and is not sufficient to represent semantic similarity between images described by continuous and/or structured labels such as object poses, image captions, and scene graphs. Motivated by this, we present a novel method for deep metric learning using continuous labels. First, we propose a new triplet loss that allows distance ratios in the label space to be preserved in the learned ","authors_text":"Ivan Laptev, Minkyo Seo, Minsu Cho, Suha Kwak, Sungyeon Kim","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-21T17:02:56Z","title":"Deep Metric Learning Beyond Binary Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.09626","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:a8ac51fb5a0ac0eb1771903449b3152a34e308264cb0930ecea76c9127070baa","target":"record","created_at":"2026-05-17T23:48:03Z","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":"48353b6fca7c6eb3fc7d4ba6104b01da0590c4b6d96371fc6a9cc9fbd75b4f50","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-21T17:02:56Z","title_canon_sha256":"a649693fd72530319c6c83a62b5079e16e8e685286df7fa8d63d9feea0236553"},"schema_version":"1.0","source":{"id":"1904.09626","kind":"arxiv","version":1}},"canonical_sha256":"3b237b6c9eec4c605711c7e097ad6ce3feabe8ebd1da6ab79718ecbf631e59c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b237b6c9eec4c605711c7e097ad6ce3feabe8ebd1da6ab79718ecbf631e59c6","first_computed_at":"2026-05-17T23:48:03.797409Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:03.797409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dxKh+H13XGNio0ZwrPJNGVG4+Ly0axOt6Q0mhezPrcraLEqWCUNnBR/xr6aLsniMmxQTCuzzyuSKtzueo1/4BQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:03.797854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.09626","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8ac51fb5a0ac0eb1771903449b3152a34e308264cb0930ecea76c9127070baa","sha256:93e3e7887dbdfa6719724f9858ba3eabb8d8e6c3dee753b89cfacbaec8adce18"],"state_sha256":"61eba9b5a38664b9684380e33e82faaa02b4b05f016bc0a092b8eb337f7e588f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Au9FswXzi7lx2qwy5veHZaUeGJ7tnzgFeaeowGRrfWVln0XXBUOLbI6rijOeJIJmHdcyMJHO5Dpmc+iOt0HCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T10:38:57.752485Z","bundle_sha256":"30360428e2b438dee4ecc8108f6e1fb3c32bbb059afb01b024ed539a8def608e"}}