{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FT2P63EG3FT5326X6R2YBDKWG2","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":"4dbad0237967dbec6bbbe386f0a8726b35d172e5ad811f4ed7841f0cc2c1bded","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-23T04:31:28Z","title_canon_sha256":"9c273890ca9ecded6fe419affaf65eacabf71e3e4ee50e88836baacfb822574c"},"schema_version":"1.0","source":{"id":"2103.12300","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.12300","created_at":"2026-07-05T02:25:44Z"},{"alias_kind":"arxiv_version","alias_value":"2103.12300v1","created_at":"2026-07-05T02:25:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.12300","created_at":"2026-07-05T02:25:44Z"},{"alias_kind":"pith_short_12","alias_value":"FT2P63EG3FT5","created_at":"2026-07-05T02:25:44Z"},{"alias_kind":"pith_short_16","alias_value":"FT2P63EG3FT5326X","created_at":"2026-07-05T02:25:44Z"},{"alias_kind":"pith_short_8","alias_value":"FT2P63EG","created_at":"2026-07-05T02:25:44Z"}],"graph_snapshots":[{"event_id":"sha256:633f7eeba4a6343d18dfd948a5b1bc75f9bb4a0ff01ec4ab14ef7ac376659d90","target":"graph","created_at":"2026-07-05T02:25:44Z","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/2103.12300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel information bottleneck (IB) method named Drop-Bottleneck, which discretely drops features that are irrelevant to the target variable. Drop-Bottleneck not only enjoys a simple and tractable compression objective but also additionally provides a deterministic compressed representation of the input variable, which is useful for inference tasks that require consistent representation. Moreover, it can jointly learn a feature extractor and select features considering each feature dimension's relevance to the target task, which is unattainable by most neural network-based IB method","authors_text":"Dongyeon Woo, Gunhee Kim, Jaekyeom Kim, Minjung Kim","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-23T04:31:28Z","title":"Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.12300","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":"sha256:84a9a65e26513bb63f16f9e1692e80c7c6ef51e79740afc5aef3cf047807d225","target":"record","created_at":"2026-07-05T02:25:44Z","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":"4dbad0237967dbec6bbbe386f0a8726b35d172e5ad811f4ed7841f0cc2c1bded","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-23T04:31:28Z","title_canon_sha256":"9c273890ca9ecded6fe419affaf65eacabf71e3e4ee50e88836baacfb822574c"},"schema_version":"1.0","source":{"id":"2103.12300","kind":"arxiv","version":1}},"canonical_sha256":"2cf4ff6c86d967ddebd7f475808d563698d9c6d546c043abcccf98b8354e61d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cf4ff6c86d967ddebd7f475808d563698d9c6d546c043abcccf98b8354e61d7","first_computed_at":"2026-07-05T02:25:44.961066Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:25:44.961066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ilXRiJQnLz/chWuGK3G934uFgDo4bsxtXzZpomF0+IC8x2Rx6NZk73OptEPGVDI37RRwwyzYLH13mEIIM5AnCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:25:44.961458Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.12300","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84a9a65e26513bb63f16f9e1692e80c7c6ef51e79740afc5aef3cf047807d225","sha256:633f7eeba4a6343d18dfd948a5b1bc75f9bb4a0ff01ec4ab14ef7ac376659d90"],"state_sha256":"ea8edcfc06fd1cf8971714329ed70c58f559ce8bb9ff9f7de0138e0b63412529"}