{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SNRSL2DYXBIVIR7ZGOIKE5YFA5","short_pith_number":"pith:SNRSL2DY","canonical_record":{"source":{"id":"2204.13382","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-28T09:55:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c107ba95da3758a9d59b8d4e0708c02728307eb9631a891766993770589332a3","abstract_canon_sha256":"a5a7c696d522a3687733c2eae73458f87f5cc4570605ab9354b91ea00e85693f"},"schema_version":"1.0"},"canonical_sha256":"936325e878b8515447f93390a27705074a44d4edb6f0eb1d49a329ada98b4126","source":{"kind":"arxiv","id":"2204.13382","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.13382","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2204.13382v3","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13382","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"SNRSL2DYXBIV","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"SNRSL2DYXBIVIR7Z","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"SNRSL2DY","created_at":"2026-07-05T06:18:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SNRSL2DYXBIVIR7ZGOIKE5YFA5","target":"record","payload":{"canonical_record":{"source":{"id":"2204.13382","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-28T09:55:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c107ba95da3758a9d59b8d4e0708c02728307eb9631a891766993770589332a3","abstract_canon_sha256":"a5a7c696d522a3687733c2eae73458f87f5cc4570605ab9354b91ea00e85693f"},"schema_version":"1.0"},"canonical_sha256":"936325e878b8515447f93390a27705074a44d4edb6f0eb1d49a329ada98b4126","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:18:16.377137Z","signature_b64":"nMrP2NJvWLHHsR34gM/XROr9u5yugeGolx1GlSyWptOpnupjfqSVegIV6ETlqqz+qkumgxBSwtbGJ5a81UvsBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"936325e878b8515447f93390a27705074a44d4edb6f0eb1d49a329ada98b4126","last_reissued_at":"2026-07-05T06:18:16.376602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:18:16.376602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.13382","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":"2026-07-05T06:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vJdqbaYoahWD7mQEMt5r9rPpx44hpnVoKQiRlEwFEVA1Lv/KrIR14gtD548k5HLrgi8dtKpqVoDSa4DdPkV8Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:31:46.069571Z"},"content_sha256":"93c664a4af836e233713be3ddea6cb91d0f407688059d777aad06c0c2022c7d2","schema_version":"1.0","event_id":"sha256:93c664a4af836e233713be3ddea6cb91d0f407688059d777aad06c0c2022c7d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SNRSL2DYXBIVIR7ZGOIKE5YFA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Andrew Yates, Maarten de Rijke, Maurits Bleeker","submitted_at":"2022-04-28T09:55:28Z","abstract_excerpt":"To train image-caption retrieval (ICR) methods, contrastive loss functions are a common choice for optimization functions. Unfortunately, contrastive ICR methods are vulnerable to predictive feature suppression. Predictive features are features that correctly indicate the similarity between a query and a candidate item. However, in the presence of multiple predictive features during training, encoder models tend to suppress redundant predictive features, since these features are not needed to learn to discriminate between positive and negative pairs. While some predictive features are redundan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13382","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.13382/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":"2026-07-05T06:18:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EjHBMFlJfKtZeJFjI5GDdGtMYNqhJaeLBONWXC/mB7GjVYs4d+3opp27QdZaIcJoH1s0tZ17yBBb4ZyCRPpxDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:31:46.070149Z"},"content_sha256":"d75ddb5ffae68813dc07c420d01ba1bc80091f9bca5f88be04133480ce08e866","schema_version":"1.0","event_id":"sha256:d75ddb5ffae68813dc07c420d01ba1bc80091f9bca5f88be04133480ce08e866"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/bundle.json","state_url":"https://pith.science/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/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":"2026-08-12T13:31:46Z","links":{"resolver":"https://pith.science/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5","bundle":"https://pith.science/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/bundle.json","state":"https://pith.science/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SNRSL2DYXBIVIR7ZGOIKE5YFA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SNRSL2DYXBIVIR7ZGOIKE5YFA5","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":"a5a7c696d522a3687733c2eae73458f87f5cc4570605ab9354b91ea00e85693f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-28T09:55:28Z","title_canon_sha256":"c107ba95da3758a9d59b8d4e0708c02728307eb9631a891766993770589332a3"},"schema_version":"1.0","source":{"id":"2204.13382","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.13382","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2204.13382v3","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.13382","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"SNRSL2DYXBIV","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"SNRSL2DYXBIVIR7Z","created_at":"2026-07-05T06:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"SNRSL2DY","created_at":"2026-07-05T06:18:16Z"}],"graph_snapshots":[{"event_id":"sha256:d75ddb5ffae68813dc07c420d01ba1bc80091f9bca5f88be04133480ce08e866","target":"graph","created_at":"2026-07-05T06:18:16Z","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/2204.13382/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To train image-caption retrieval (ICR) methods, contrastive loss functions are a common choice for optimization functions. Unfortunately, contrastive ICR methods are vulnerable to predictive feature suppression. Predictive features are features that correctly indicate the similarity between a query and a candidate item. However, in the presence of multiple predictive features during training, encoder models tend to suppress redundant predictive features, since these features are not needed to learn to discriminate between positive and negative pairs. While some predictive features are redundan","authors_text":"Andrew Yates, Maarten de Rijke, Maurits Bleeker","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-28T09:55:28Z","title":"Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.13382","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":"sha256:93c664a4af836e233713be3ddea6cb91d0f407688059d777aad06c0c2022c7d2","target":"record","created_at":"2026-07-05T06:18:16Z","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":"a5a7c696d522a3687733c2eae73458f87f5cc4570605ab9354b91ea00e85693f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-28T09:55:28Z","title_canon_sha256":"c107ba95da3758a9d59b8d4e0708c02728307eb9631a891766993770589332a3"},"schema_version":"1.0","source":{"id":"2204.13382","kind":"arxiv","version":3}},"canonical_sha256":"936325e878b8515447f93390a27705074a44d4edb6f0eb1d49a329ada98b4126","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"936325e878b8515447f93390a27705074a44d4edb6f0eb1d49a329ada98b4126","first_computed_at":"2026-07-05T06:18:16.376602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:18:16.376602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nMrP2NJvWLHHsR34gM/XROr9u5yugeGolx1GlSyWptOpnupjfqSVegIV6ETlqqz+qkumgxBSwtbGJ5a81UvsBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:18:16.377137Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.13382","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93c664a4af836e233713be3ddea6cb91d0f407688059d777aad06c0c2022c7d2","sha256:d75ddb5ffae68813dc07c420d01ba1bc80091f9bca5f88be04133480ce08e866"],"state_sha256":"b98182a62259f2be044fa0385bb3cfdd69c8c6b13eafb0c43a2f69a7f11984ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N7HQcu8ns10+EAFv2N8e1ojFZcoVNQXyEPyhx+XDxPfxVokOO6Sj9XpAEvcchjpkc53vWdVbtWq8cMgAM0bMDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:31:46.075779Z","bundle_sha256":"9ceca8d0a91e18ab478112b6859c5491be01bce544c957a4c8d46202b589a947"}}