{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SHOWOAESUET5W3LSO4UD52WKFI","short_pith_number":"pith:SHOWOAES","canonical_record":{"source":{"id":"2502.03227","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T14:43:40Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b4ceefa3c6125360c3efff0619788e4c0de4a5b0bb960c811b7df49751a7c3fc","abstract_canon_sha256":"b8c255caebc566785185b95dbf266d05eea5419a1ef64fafc13f744740125af1"},"schema_version":"1.0"},"canonical_sha256":"91dd670092a127db6d7277283eeaca2a3583ab3e8f0ee30b2a9749f38c819e78","source":{"kind":"arxiv","id":"2502.03227","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03227","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03227v2","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03227","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_12","alias_value":"SHOWOAESUET5","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_16","alias_value":"SHOWOAESUET5W3LS","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_8","alias_value":"SHOWOAES","created_at":"2026-06-19T16:12:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SHOWOAESUET5W3LSO4UD52WKFI","target":"record","payload":{"canonical_record":{"source":{"id":"2502.03227","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T14:43:40Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b4ceefa3c6125360c3efff0619788e4c0de4a5b0bb960c811b7df49751a7c3fc","abstract_canon_sha256":"b8c255caebc566785185b95dbf266d05eea5419a1ef64fafc13f744740125af1"},"schema_version":"1.0"},"canonical_sha256":"91dd670092a127db6d7277283eeaca2a3583ab3e8f0ee30b2a9749f38c819e78","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:45.025237Z","signature_b64":"58IXL+LnP0vIPFfLi4Ejn+g6PzWcYAoPSBXpm/XO9yzGhRbci/TmPwZoRP7wXYSdO8NbWgq/6997suOtQGyeAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91dd670092a127db6d7277283eeaca2a3583ab3e8f0ee30b2a9749f38c819e78","last_reissued_at":"2026-06-19T16:12:45.024767Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:45.024767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.03227","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":"2026-06-19T16:12:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pao62DOMWa8FMWJse4xrDHFlB6lYMtyBB5ZmdnoQQdwXqtjw+PXqNqDw/LJtz5OG9ixf/+enk+x+D9e+L697Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:36:12.684769Z"},"content_sha256":"8910f5f8af3c69f36ad01b2bfd7c280330d3198c8823a02fd174398abfd0c982","schema_version":"1.0","event_id":"sha256:8910f5f8af3c69f36ad01b2bfd7c280330d3198c8823a02fd174398abfd0c982"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SHOWOAESUET5W3LSO4UD52WKFI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarial Dependence Minimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Luc Van Gool, Marc Proesmans, Pierre-Fran\\c{c}ois De Plaen, Tinne Tuytelaars","submitted_at":"2025-02-05T14:43:40Z","abstract_excerpt":"Minimally redundant representations are typically learned by minimizing feature covariance. However, covariance-based methods fail to eliminate all dependencies/redundancies, as linearly uncorrelated variables can still exhibit nonlinear relationships. To address this, we introduce ADM, a differentiable algorithm that minimizes statistical dependence between feature dimensions through an adversarial game: auxiliary networks identify dependencies, while the encoder removes them. We prove that mutual independence is achieved at the global optimum, empirically verify convergence, and study three "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03227","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.03227/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":"2026-06-19T16:12:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gQolMfHDTzUdQEIdsqdtFwiMt7kyOqwPIv45Q/l+P37dB0z9nx4MfPkLf9XYtRMQSgcE1BBAMUD1cHhIX01AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:36:12.685270Z"},"content_sha256":"ceab97485dd0a42a82b0b4f5f5c2ba7310bd19fe6593c7769159b10313ad55df","schema_version":"1.0","event_id":"sha256:ceab97485dd0a42a82b0b4f5f5c2ba7310bd19fe6593c7769159b10313ad55df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SHOWOAESUET5W3LSO4UD52WKFI/bundle.json","state_url":"https://pith.science/pith/SHOWOAESUET5W3LSO4UD52WKFI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SHOWOAESUET5W3LSO4UD52WKFI/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":"2026-08-04T12:36:12Z","links":{"resolver":"https://pith.science/pith/SHOWOAESUET5W3LSO4UD52WKFI","bundle":"https://pith.science/pith/SHOWOAESUET5W3LSO4UD52WKFI/bundle.json","state":"https://pith.science/pith/SHOWOAESUET5W3LSO4UD52WKFI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SHOWOAESUET5W3LSO4UD52WKFI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SHOWOAESUET5W3LSO4UD52WKFI","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":"b8c255caebc566785185b95dbf266d05eea5419a1ef64fafc13f744740125af1","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T14:43:40Z","title_canon_sha256":"b4ceefa3c6125360c3efff0619788e4c0de4a5b0bb960c811b7df49751a7c3fc"},"schema_version":"1.0","source":{"id":"2502.03227","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03227","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03227v2","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03227","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_12","alias_value":"SHOWOAESUET5","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_16","alias_value":"SHOWOAESUET5W3LS","created_at":"2026-06-19T16:12:45Z"},{"alias_kind":"pith_short_8","alias_value":"SHOWOAES","created_at":"2026-06-19T16:12:45Z"}],"graph_snapshots":[{"event_id":"sha256:ceab97485dd0a42a82b0b4f5f5c2ba7310bd19fe6593c7769159b10313ad55df","target":"graph","created_at":"2026-06-19T16:12:45Z","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/2502.03227/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Minimally redundant representations are typically learned by minimizing feature covariance. However, covariance-based methods fail to eliminate all dependencies/redundancies, as linearly uncorrelated variables can still exhibit nonlinear relationships. To address this, we introduce ADM, a differentiable algorithm that minimizes statistical dependence between feature dimensions through an adversarial game: auxiliary networks identify dependencies, while the encoder removes them. We prove that mutual independence is achieved at the global optimum, empirically verify convergence, and study three ","authors_text":"Luc Van Gool, Marc Proesmans, Pierre-Fran\\c{c}ois De Plaen, Tinne Tuytelaars","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T14:43:40Z","title":"Adversarial Dependence Minimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03227","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":"sha256:8910f5f8af3c69f36ad01b2bfd7c280330d3198c8823a02fd174398abfd0c982","target":"record","created_at":"2026-06-19T16:12:45Z","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":"b8c255caebc566785185b95dbf266d05eea5419a1ef64fafc13f744740125af1","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-05T14:43:40Z","title_canon_sha256":"b4ceefa3c6125360c3efff0619788e4c0de4a5b0bb960c811b7df49751a7c3fc"},"schema_version":"1.0","source":{"id":"2502.03227","kind":"arxiv","version":2}},"canonical_sha256":"91dd670092a127db6d7277283eeaca2a3583ab3e8f0ee30b2a9749f38c819e78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91dd670092a127db6d7277283eeaca2a3583ab3e8f0ee30b2a9749f38c819e78","first_computed_at":"2026-06-19T16:12:45.024767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:45.024767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"58IXL+LnP0vIPFfLi4Ejn+g6PzWcYAoPSBXpm/XO9yzGhRbci/TmPwZoRP7wXYSdO8NbWgq/6997suOtQGyeAg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:45.025237Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.03227","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8910f5f8af3c69f36ad01b2bfd7c280330d3198c8823a02fd174398abfd0c982","sha256:ceab97485dd0a42a82b0b4f5f5c2ba7310bd19fe6593c7769159b10313ad55df"],"state_sha256":"a1fee1ac0de492b449399a5f3f867990c1ef72a62302cdc5c48a70e11592a35f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3peSzgwnYg09fW94eTr/aWaoKS6x8Tmf/J7B7hRggs3UFasGuG4ORUV47LCQ+iVnE0KG150s8kQ9qL+sM/WBCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:36:12.688901Z","bundle_sha256":"1c20497e52e2da476f79ece29f60f174ecb7a1954a675ac4e09001fef149e473"}}