{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XKKH26MYQ4VXX5TMUBGDC7M7NX","short_pith_number":"pith:XKKH26MY","canonical_record":{"source":{"id":"2411.06835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T10:02:49Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"78edc344c923db45af694b22bfb64e8874b43b47969c9e1e201e8ac9dc2c66da","abstract_canon_sha256":"5c27fd74d525ec54589b7313be51b21fca70133feaa2f8e47730e2750877844a"},"schema_version":"1.0"},"canonical_sha256":"ba947d7998872b7bf66ca04c317d9f6dd83d3f3661acc29d3115949ebeeffdc7","source":{"kind":"arxiv","id":"2411.06835","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.06835","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"arxiv_version","alias_value":"2411.06835v1","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.06835","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_12","alias_value":"XKKH26MYQ4VX","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_16","alias_value":"XKKH26MYQ4VXX5TM","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_8","alias_value":"XKKH26MY","created_at":"2026-07-05T09:33:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XKKH26MYQ4VXX5TMUBGDC7M7NX","target":"record","payload":{"canonical_record":{"source":{"id":"2411.06835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T10:02:49Z","cross_cats_sorted":["cs.CR"],"title_canon_sha256":"78edc344c923db45af694b22bfb64e8874b43b47969c9e1e201e8ac9dc2c66da","abstract_canon_sha256":"5c27fd74d525ec54589b7313be51b21fca70133feaa2f8e47730e2750877844a"},"schema_version":"1.0"},"canonical_sha256":"ba947d7998872b7bf66ca04c317d9f6dd83d3f3661acc29d3115949ebeeffdc7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:33:52.591445Z","signature_b64":"ktUAbyIlegRHrzrkt1HcH1Htq+LiQl1QcGPUXEXtKAD4JNkSRtP6jbd0zRlokvFcgwP+v7AgRhB3IzXPv7+XBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba947d7998872b7bf66ca04c317d9f6dd83d3f3661acc29d3115949ebeeffdc7","last_reissued_at":"2026-07-05T09:33:52.590983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:33:52.590983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.06835","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:33:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rhI2LmUTBocjKmym7Ay9Y5jdFl6FVrW3mGBeqglWibUrSkQkpNiWG4f6vBVoF68xLm9lbS9CnKZ56aujpEWUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:59:07.337724Z"},"content_sha256":"581a617a4c41543ec628ed06ee2a4833042796e8568380bbe25c237fc4421884","schema_version":"1.0","event_id":"sha256:581a617a4c41543ec628ed06ee2a4833042796e8568380bbe25c237fc4421884"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XKKH26MYQ4VXX5TMUBGDC7M7NX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CR"],"primary_cat":"cs.CL","authors_text":"Giulio Zizzo, Sergio Maffeis, Yannis Belkhiter","submitted_at":"2024-11-11T10:02:49Z","abstract_excerpt":"With the introduction of the transformers architecture, LLMs have revolutionized the NLP field with ever more powerful models. Nevertheless, their development came up with several challenges. The exponential growth in computational power and reasoning capabilities of language models has heightened concerns about their security. As models become more powerful, ensuring their safety has become a crucial focus in research. This paper aims to address gaps in the current literature on jailbreaking techniques and the evaluation of LLM vulnerabilities. Our contributions include the creation of a nove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.06835","kind":"arxiv","version":1},"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/2411.06835/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":"2026-07-05T09:33:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p5x96qcbycMoATZ3UyTcAYxfH3bi61g1O05f8xcI94o3CKHZTydOLp8Zl7Zg8Rr3ilcBCqf7+zFXuIGXEowZBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:59:07.338220Z"},"content_sha256":"aa434d95ba321e0a142355104885188ef061927926eca02f2a059ad6347bc9b5","schema_version":"1.0","event_id":"sha256:aa434d95ba321e0a142355104885188ef061927926eca02f2a059ad6347bc9b5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/bundle.json","state_url":"https://pith.science/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/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":"2026-08-10T04:59:07Z","links":{"resolver":"https://pith.science/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX","bundle":"https://pith.science/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/bundle.json","state":"https://pith.science/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XKKH26MYQ4VXX5TMUBGDC7M7NX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XKKH26MYQ4VXX5TMUBGDC7M7NX","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":"5c27fd74d525ec54589b7313be51b21fca70133feaa2f8e47730e2750877844a","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T10:02:49Z","title_canon_sha256":"78edc344c923db45af694b22bfb64e8874b43b47969c9e1e201e8ac9dc2c66da"},"schema_version":"1.0","source":{"id":"2411.06835","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.06835","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"arxiv_version","alias_value":"2411.06835v1","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.06835","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_12","alias_value":"XKKH26MYQ4VX","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_16","alias_value":"XKKH26MYQ4VXX5TM","created_at":"2026-07-05T09:33:52Z"},{"alias_kind":"pith_short_8","alias_value":"XKKH26MY","created_at":"2026-07-05T09:33:52Z"}],"graph_snapshots":[{"event_id":"sha256:aa434d95ba321e0a142355104885188ef061927926eca02f2a059ad6347bc9b5","target":"graph","created_at":"2026-07-05T09:33:52Z","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/2411.06835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the introduction of the transformers architecture, LLMs have revolutionized the NLP field with ever more powerful models. Nevertheless, their development came up with several challenges. The exponential growth in computational power and reasoning capabilities of language models has heightened concerns about their security. As models become more powerful, ensuring their safety has become a crucial focus in research. This paper aims to address gaps in the current literature on jailbreaking techniques and the evaluation of LLM vulnerabilities. Our contributions include the creation of a nove","authors_text":"Giulio Zizzo, Sergio Maffeis, Yannis Belkhiter","cross_cats":["cs.CR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T10:02:49Z","title":"HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.06835","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":"sha256:581a617a4c41543ec628ed06ee2a4833042796e8568380bbe25c237fc4421884","target":"record","created_at":"2026-07-05T09:33:52Z","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":"5c27fd74d525ec54589b7313be51b21fca70133feaa2f8e47730e2750877844a","cross_cats_sorted":["cs.CR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-11T10:02:49Z","title_canon_sha256":"78edc344c923db45af694b22bfb64e8874b43b47969c9e1e201e8ac9dc2c66da"},"schema_version":"1.0","source":{"id":"2411.06835","kind":"arxiv","version":1}},"canonical_sha256":"ba947d7998872b7bf66ca04c317d9f6dd83d3f3661acc29d3115949ebeeffdc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba947d7998872b7bf66ca04c317d9f6dd83d3f3661acc29d3115949ebeeffdc7","first_computed_at":"2026-07-05T09:33:52.590983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:33:52.590983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ktUAbyIlegRHrzrkt1HcH1Htq+LiQl1QcGPUXEXtKAD4JNkSRtP6jbd0zRlokvFcgwP+v7AgRhB3IzXPv7+XBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:33:52.591445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.06835","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:581a617a4c41543ec628ed06ee2a4833042796e8568380bbe25c237fc4421884","sha256:aa434d95ba321e0a142355104885188ef061927926eca02f2a059ad6347bc9b5"],"state_sha256":"7ec3aa4e77483d5d93974b4f43ba4c192631ed28d7c6b463b2a8cb3961babc05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Idqk8VS7Z4hSEXuFB0WxVLPSklUC+hoZ6yFK8FmHgJoJNnvE1hQ+fsyDW2LdFnarwW4J2tknMNJ2ozbjcVWoAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:59:07.342643Z","bundle_sha256":"5851b5fb9e20833731a4734a5360e23712aaf033f9d8ca0d47063ff20f88efa0"}}