{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UMAQGMXGB5VRJIPOHNEGYOZDHK","short_pith_number":"pith:UMAQGMXG","canonical_record":{"source":{"id":"2405.15444","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T11:20:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9993ed45295c68b01307dce108271bf5d5c1df3a20d2fe2261643c6d4b55b47b","abstract_canon_sha256":"977b7dd4956a4cbbd9d9c3030a95591c974a01966ac0171c04de66dae784511a"},"schema_version":"1.0"},"canonical_sha256":"a3010332e60f6b14a1ee3b486c3b233a838b80031fbae426eb0848431777caf7","source":{"kind":"arxiv","id":"2405.15444","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15444","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15444v4","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15444","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_12","alias_value":"UMAQGMXGB5VR","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_16","alias_value":"UMAQGMXGB5VRJIPO","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_8","alias_value":"UMAQGMXG","created_at":"2026-07-05T10:59:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UMAQGMXGB5VRJIPOHNEGYOZDHK","target":"record","payload":{"canonical_record":{"source":{"id":"2405.15444","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T11:20:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9993ed45295c68b01307dce108271bf5d5c1df3a20d2fe2261643c6d4b55b47b","abstract_canon_sha256":"977b7dd4956a4cbbd9d9c3030a95591c974a01966ac0171c04de66dae784511a"},"schema_version":"1.0"},"canonical_sha256":"a3010332e60f6b14a1ee3b486c3b233a838b80031fbae426eb0848431777caf7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:00.511696Z","signature_b64":"FdoaINXBhO2yvgy83Xyx3Nf7rGzcLKbCPd4HHEPmKG15HX3oASYowoGD6NvjkkpXB2mg11MjxKpjHoYibIOGDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3010332e60f6b14a1ee3b486c3b233a838b80031fbae426eb0848431777caf7","last_reissued_at":"2026-07-05T10:59:00.511214Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:00.511214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.15444","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:59:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+78Qzf0wIcBkpdrDKHk0gw1SrsnBMzMi1cKyQB6RjMhAn30cpkJQoKlPVuKc5YeN+5VMARI1Vl3eloeiv7pBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:15:01.487946Z"},"content_sha256":"ab1a980a466343d067daf7e93681a506908fc52bacf54b1382cae69974c2f5d6","schema_version":"1.0","event_id":"sha256:ab1a980a466343d067daf7e93681a506908fc52bacf54b1382cae69974c2f5d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UMAQGMXGB5VRJIPOHNEGYOZDHK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HINT: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Anna Bielawska, Kamil Ksi\\k{a}\\.zek, Patryk Krukowski, Pawe{\\l} Batorski, Pawe{\\l} Wawrzy\\'nski, Przemys{\\l}aw Spurek","submitted_at":"2024-05-24T11:20:41Z","abstract_excerpt":"Recently, a new Continual Learning (CL) paradigm was presented to control catastrophic forgetting, called Interval Continual Learning (InterContiNet), which relies on enforcing interval constraints on the neural network parameter space. Unfortunately, InterContiNet training is challenging due to the high dimensionality of the weight space, making intervals difficult to manage. To address this issue, we introduce HINT, a technique that employs interval arithmetic within the embedding space and utilizes a hypernetwork to map these intervals to the target network parameter space. We train interva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15444","kind":"arxiv","version":4},"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/2405.15444/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":"2026-07-05T10:59:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q8Rvs1OUVzAyn/Or6v8or8ZMiXabe//KSv7/CfUKCqGZrX0kEY/t4mR7mWDzRXSNRVlKYXT4J8d/KsDPUcAYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T04:15:01.488437Z"},"content_sha256":"c7749354603b5e36165e0c227bee6c64f6e04dbc20794d91ad937ab192022941","schema_version":"1.0","event_id":"sha256:c7749354603b5e36165e0c227bee6c64f6e04dbc20794d91ad937ab192022941"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/bundle.json","state_url":"https://pith.science/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/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":"2026-08-22T04:15:01Z","links":{"resolver":"https://pith.science/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK","bundle":"https://pith.science/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/bundle.json","state":"https://pith.science/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UMAQGMXGB5VRJIPOHNEGYOZDHK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UMAQGMXGB5VRJIPOHNEGYOZDHK","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":"977b7dd4956a4cbbd9d9c3030a95591c974a01966ac0171c04de66dae784511a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T11:20:41Z","title_canon_sha256":"9993ed45295c68b01307dce108271bf5d5c1df3a20d2fe2261643c6d4b55b47b"},"schema_version":"1.0","source":{"id":"2405.15444","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15444","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15444v4","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15444","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_12","alias_value":"UMAQGMXGB5VR","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_16","alias_value":"UMAQGMXGB5VRJIPO","created_at":"2026-07-05T10:59:00Z"},{"alias_kind":"pith_short_8","alias_value":"UMAQGMXG","created_at":"2026-07-05T10:59:00Z"}],"graph_snapshots":[{"event_id":"sha256:c7749354603b5e36165e0c227bee6c64f6e04dbc20794d91ad937ab192022941","target":"graph","created_at":"2026-07-05T10:59:00Z","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/2405.15444/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, a new Continual Learning (CL) paradigm was presented to control catastrophic forgetting, called Interval Continual Learning (InterContiNet), which relies on enforcing interval constraints on the neural network parameter space. Unfortunately, InterContiNet training is challenging due to the high dimensionality of the weight space, making intervals difficult to manage. To address this issue, we introduce HINT, a technique that employs interval arithmetic within the embedding space and utilizes a hypernetwork to map these intervals to the target network parameter space. We train interva","authors_text":"Anna Bielawska, Kamil Ksi\\k{a}\\.zek, Patryk Krukowski, Pawe{\\l} Batorski, Pawe{\\l} Wawrzy\\'nski, Przemys{\\l}aw Spurek","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T11:20:41Z","title":"HINT: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15444","kind":"arxiv","version":4},"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:ab1a980a466343d067daf7e93681a506908fc52bacf54b1382cae69974c2f5d6","target":"record","created_at":"2026-07-05T10:59:00Z","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":"977b7dd4956a4cbbd9d9c3030a95591c974a01966ac0171c04de66dae784511a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T11:20:41Z","title_canon_sha256":"9993ed45295c68b01307dce108271bf5d5c1df3a20d2fe2261643c6d4b55b47b"},"schema_version":"1.0","source":{"id":"2405.15444","kind":"arxiv","version":4}},"canonical_sha256":"a3010332e60f6b14a1ee3b486c3b233a838b80031fbae426eb0848431777caf7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3010332e60f6b14a1ee3b486c3b233a838b80031fbae426eb0848431777caf7","first_computed_at":"2026-07-05T10:59:00.511214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:00.511214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FdoaINXBhO2yvgy83Xyx3Nf7rGzcLKbCPd4HHEPmKG15HX3oASYowoGD6NvjkkpXB2mg11MjxKpjHoYibIOGDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:00.511696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.15444","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab1a980a466343d067daf7e93681a506908fc52bacf54b1382cae69974c2f5d6","sha256:c7749354603b5e36165e0c227bee6c64f6e04dbc20794d91ad937ab192022941"],"state_sha256":"63aff88a99bd5aa2799d5af67133d671c881e5b9b90f57d0711fc52000f47fcd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PVn9aFh1f4VuKJLd5nBdg1wTOFTFUUdqgS/xaAlCyh3to/P3KOJ/2aUmjDxYRvdE7AQFSc3VjViYo6PdFjMODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T04:15:01.491904Z","bundle_sha256":"2cc30d2f7778efe31ee25ab1a6d42693e05d960392b417a901bce674e7180b21"}}