{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QIDPBJIY6GRRUOY5SK6NI2Q2OT","short_pith_number":"pith:QIDPBJIY","canonical_record":{"source":{"id":"2506.08255","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T21:43:56Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"a44ebb9866d0405c848c9e72950fcc6fdd4c096c9949cc15c5208ac2fe0241cf","abstract_canon_sha256":"070701ca7f05e8e2a0ab708f326c00572398fc25b54657ea12f80bc3ad3eb2c5"},"schema_version":"1.0"},"canonical_sha256":"8206f0a518f1a31a3b1d92bcd46a1a74dbd20a3f80705820948dfbb7bda11d0e","source":{"kind":"arxiv","id":"2506.08255","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08255","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08255v4","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08255","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"QIDPBJIY6GRR","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"QIDPBJIY6GRRUOY5","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"QIDPBJIY","created_at":"2026-06-01T02:03:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QIDPBJIY6GRRUOY5SK6NI2Q2OT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.08255","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T21:43:56Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"a44ebb9866d0405c848c9e72950fcc6fdd4c096c9949cc15c5208ac2fe0241cf","abstract_canon_sha256":"070701ca7f05e8e2a0ab708f326c00572398fc25b54657ea12f80bc3ad3eb2c5"},"schema_version":"1.0"},"canonical_sha256":"8206f0a518f1a31a3b1d92bcd46a1a74dbd20a3f80705820948dfbb7bda11d0e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T02:03:24.370052Z","signature_b64":"3H0+yCt+IM5WiIgXt1dRjRxR66qA8uicgYdlcwoer1yqepCbfMjKqoyuuWDhic4EpI522Nb936ZNBpSIFwdEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8206f0a518f1a31a3b1d92bcd46a1a74dbd20a3f80705820948dfbb7bda11d0e","last_reissued_at":"2026-06-01T02:03:24.368926Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T02:03:24.368926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.08255","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":"2026-06-01T02:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"96FMk6EQM6IZJLEXPES7hXnAmQy22FQFSMKFMLAumYkINgYP7nIJWvIGnfRZpd3JMxRE/2Yvno9xV9wCBc4XDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:40:14.719151Z"},"content_sha256":"b86479473fe15645ae496374789d0a67d73a34bf36ea6fcb414d05dc4708fe90","schema_version":"1.0","event_id":"sha256:b86479473fe15645ae496374789d0a67d73a34bf36ea6fcb414d05dc4708fe90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QIDPBJIY6GRRUOY5SK6NI2Q2OT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.LG","authors_text":"Kamil Ksi\\k{a}\\.zek, {\\L}ukasz Gorczyca, Patryk Krukowski, Piotr Helm, Przemys{\\l}aw Spurek","submitted_at":"2025-06-09T21:43:56Z","abstract_excerpt":"Continual learning under adversarial conditions remains an open problem, as existing methods often compromise either robustness, scalability, or both. We propose a novel framework that integrates Interval Bound Propagation (IBP) with a hypernetwork-based architecture to enable certifiably robust continual learning across sequential tasks. Our method, SHIELD, generates task-specific model parameters via a shared hypernetwork conditioned solely on compact task embeddings, eliminating the need for replay buffers or full model copies and enabling efficient over time. To further enhance robustness,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08255","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/2506.08255/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":"2026-06-01T02:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5pWj+gZt3SH9/H1rkFv8vPVmJVW2OysxH3PVq4JDvXUzTVGI1kny2GU1A/IrUAdjP/XZdq8yPjR/RGJESPnsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:40:14.719551Z"},"content_sha256":"673c2a68e62dc7e272bab7f532f0e995395816e99b8c18954afd0158d6a973b5","schema_version":"1.0","event_id":"sha256:673c2a68e62dc7e272bab7f532f0e995395816e99b8c18954afd0158d6a973b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/bundle.json","state_url":"https://pith.science/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/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":"2026-06-03T22:40:14Z","links":{"resolver":"https://pith.science/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT","bundle":"https://pith.science/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/bundle.json","state":"https://pith.science/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QIDPBJIY6GRRUOY5SK6NI2Q2OT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QIDPBJIY6GRRUOY5SK6NI2Q2OT","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":"070701ca7f05e8e2a0ab708f326c00572398fc25b54657ea12f80bc3ad3eb2c5","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T21:43:56Z","title_canon_sha256":"a44ebb9866d0405c848c9e72950fcc6fdd4c096c9949cc15c5208ac2fe0241cf"},"schema_version":"1.0","source":{"id":"2506.08255","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08255","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08255v4","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08255","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"QIDPBJIY6GRR","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"QIDPBJIY6GRRUOY5","created_at":"2026-06-01T02:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"QIDPBJIY","created_at":"2026-06-01T02:03:24Z"}],"graph_snapshots":[{"event_id":"sha256:673c2a68e62dc7e272bab7f532f0e995395816e99b8c18954afd0158d6a973b5","target":"graph","created_at":"2026-06-01T02:03:24Z","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/2506.08255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning under adversarial conditions remains an open problem, as existing methods often compromise either robustness, scalability, or both. We propose a novel framework that integrates Interval Bound Propagation (IBP) with a hypernetwork-based architecture to enable certifiably robust continual learning across sequential tasks. Our method, SHIELD, generates task-specific model parameters via a shared hypernetwork conditioned solely on compact task embeddings, eliminating the need for replay buffers or full model copies and enabling efficient over time. To further enhance robustness,","authors_text":"Kamil Ksi\\k{a}\\.zek, {\\L}ukasz Gorczyca, Patryk Krukowski, Piotr Helm, Przemys{\\l}aw Spurek","cross_cats":["cs.AI","cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T21:43:56Z","title":"SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08255","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:b86479473fe15645ae496374789d0a67d73a34bf36ea6fcb414d05dc4708fe90","target":"record","created_at":"2026-06-01T02:03:24Z","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":"070701ca7f05e8e2a0ab708f326c00572398fc25b54657ea12f80bc3ad3eb2c5","cross_cats_sorted":["cs.AI","cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T21:43:56Z","title_canon_sha256":"a44ebb9866d0405c848c9e72950fcc6fdd4c096c9949cc15c5208ac2fe0241cf"},"schema_version":"1.0","source":{"id":"2506.08255","kind":"arxiv","version":4}},"canonical_sha256":"8206f0a518f1a31a3b1d92bcd46a1a74dbd20a3f80705820948dfbb7bda11d0e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8206f0a518f1a31a3b1d92bcd46a1a74dbd20a3f80705820948dfbb7bda11d0e","first_computed_at":"2026-06-01T02:03:24.368926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T02:03:24.368926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3H0+yCt+IM5WiIgXt1dRjRxR66qA8uicgYdlcwoer1yqepCbfMjKqoyuuWDhic4EpI522Nb936ZNBpSIFwdEBQ==","signature_status":"signed_v1","signed_at":"2026-06-01T02:03:24.370052Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08255","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b86479473fe15645ae496374789d0a67d73a34bf36ea6fcb414d05dc4708fe90","sha256:673c2a68e62dc7e272bab7f532f0e995395816e99b8c18954afd0158d6a973b5"],"state_sha256":"579fd0cf59666315fbe316d192e396ac4e381bcf63cb92caeba0db93b3ff309c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"74gCe7vHcXJIuzqT0z2OIQBOqZ2xFXMPSLpWN1f4pD/+NYxGMELz92GQq0nraJfqkDPQehe7HyiqZW4uvCXKAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T22:40:14.721638Z","bundle_sha256":"8c05ca556f9ac2c5b6b2b0abcb3ccda835e83d681e062565308ff8d4777a03a5"}}