{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XT6MUUMRIHXP5GNU4R4EXBAKPE","short_pith_number":"pith:XT6MUUMR","canonical_record":{"source":{"id":"2505.22852","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-28T20:35:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce476f78259db45f1f15c3893be24ec42ae3c97005cc7dbca22dcee08eb0e8eb","abstract_canon_sha256":"dcdc0b7e2bdad0b5f149651771158320797003216e92b7298630fafda304268d"},"schema_version":"1.0"},"canonical_sha256":"bcfcca519141eefe99b4e4784b840a7915aed03336012fcb13bdd1ac8d257e2f","source":{"kind":"arxiv","id":"2505.22852","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22852","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22852v1","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22852","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"XT6MUUMRIHXP","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"XT6MUUMRIHXP5GNU","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"XT6MUUMR","created_at":"2026-07-05T11:11:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XT6MUUMRIHXP5GNU4R4EXBAKPE","target":"record","payload":{"canonical_record":{"source":{"id":"2505.22852","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-28T20:35:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ce476f78259db45f1f15c3893be24ec42ae3c97005cc7dbca22dcee08eb0e8eb","abstract_canon_sha256":"dcdc0b7e2bdad0b5f149651771158320797003216e92b7298630fafda304268d"},"schema_version":"1.0"},"canonical_sha256":"bcfcca519141eefe99b4e4784b840a7915aed03336012fcb13bdd1ac8d257e2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:50.900796Z","signature_b64":"QDSxqjsUn+nhzEXpvfldJlcT2J58KhFwcbvLjEtsc9ifTMIvoHsDOy5pCsM3Rs7cImQdEcxOKx4omGZ2GNEMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcfcca519141eefe99b4e4784b840a7915aed03336012fcb13bdd1ac8d257e2f","last_reissued_at":"2026-07-05T11:11:50.900293Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:50.900293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.22852","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":"2026-07-05T11:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yT1v7nzQAbFjlxSMZ5vZARBZ3Zi1EZjvS1m1vPFY+o3Haj9Ta+tseCJ2urFbyYqbpxi/uTLvoJBOARSVAkQUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:40:05.652451Z"},"content_sha256":"971219e2823a6bdf77dd36d6025e224da89db96255048486cf90230232a5ae4f","schema_version":"1.0","event_id":"sha256:971219e2823a6bdf77dd36d6025e224da89db96255048486cf90230232a5ae4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XT6MUUMRIHXP5GNU4R4EXBAKPE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Emma Miller, Krti Tallam","submitted_at":"2025-05-28T20:35:24Z","abstract_excerpt":"CaMeL (Capabilities for Machine Learning) introduces a capability-based sandbox to mitigate prompt injection attacks in large language model (LLM) agents. While effective, CaMeL assumes a trusted user prompt, omits side-channel concerns, and incurs performance tradeoffs due to its dual-LLM design. This response identifies these issues and proposes engineering improvements to expand CaMeL's threat coverage and operational usability. We introduce: (1) prompt screening for initial inputs, (2) output auditing to detect instruction leakage, (3) a tiered-risk access model to balance usability and co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22852","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/2505.22852/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":"2026-07-05T11:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LiNO7sINtJuZGjQZJOO04LqnqLlqW3c8GEY5fo1c8GLjQT+IZCl6Ec9CNuWJxvC45TDNXV1/oE0VasyfejmcBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T14:40:05.652969Z"},"content_sha256":"5008f8668a72a3c55757ee36fde7cbf16a1d34559e330d3a7c1e10a39042c685","schema_version":"1.0","event_id":"sha256:5008f8668a72a3c55757ee36fde7cbf16a1d34559e330d3a7c1e10a39042c685"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/bundle.json","state_url":"https://pith.science/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/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":"2026-08-08T14:40:05Z","links":{"resolver":"https://pith.science/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE","bundle":"https://pith.science/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/bundle.json","state":"https://pith.science/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XT6MUUMRIHXP5GNU4R4EXBAKPE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XT6MUUMRIHXP5GNU4R4EXBAKPE","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":"dcdc0b7e2bdad0b5f149651771158320797003216e92b7298630fafda304268d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-28T20:35:24Z","title_canon_sha256":"ce476f78259db45f1f15c3893be24ec42ae3c97005cc7dbca22dcee08eb0e8eb"},"schema_version":"1.0","source":{"id":"2505.22852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22852","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22852v1","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22852","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"XT6MUUMRIHXP","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"XT6MUUMRIHXP5GNU","created_at":"2026-07-05T11:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"XT6MUUMR","created_at":"2026-07-05T11:11:50Z"}],"graph_snapshots":[{"event_id":"sha256:5008f8668a72a3c55757ee36fde7cbf16a1d34559e330d3a7c1e10a39042c685","target":"graph","created_at":"2026-07-05T11:11:50Z","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/2505.22852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"CaMeL (Capabilities for Machine Learning) introduces a capability-based sandbox to mitigate prompt injection attacks in large language model (LLM) agents. While effective, CaMeL assumes a trusted user prompt, omits side-channel concerns, and incurs performance tradeoffs due to its dual-LLM design. This response identifies these issues and proposes engineering improvements to expand CaMeL's threat coverage and operational usability. We introduce: (1) prompt screening for initial inputs, (2) output auditing to detect instruction leakage, (3) a tiered-risk access model to balance usability and co","authors_text":"Emma Miller, Krti Tallam","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-28T20:35:24Z","title":"Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22852","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":"sha256:971219e2823a6bdf77dd36d6025e224da89db96255048486cf90230232a5ae4f","target":"record","created_at":"2026-07-05T11:11:50Z","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":"dcdc0b7e2bdad0b5f149651771158320797003216e92b7298630fafda304268d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-05-28T20:35:24Z","title_canon_sha256":"ce476f78259db45f1f15c3893be24ec42ae3c97005cc7dbca22dcee08eb0e8eb"},"schema_version":"1.0","source":{"id":"2505.22852","kind":"arxiv","version":1}},"canonical_sha256":"bcfcca519141eefe99b4e4784b840a7915aed03336012fcb13bdd1ac8d257e2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcfcca519141eefe99b4e4784b840a7915aed03336012fcb13bdd1ac8d257e2f","first_computed_at":"2026-07-05T11:11:50.900293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:50.900293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QDSxqjsUn+nhzEXpvfldJlcT2J58KhFwcbvLjEtsc9ifTMIvoHsDOy5pCsM3Rs7cImQdEcxOKx4omGZ2GNEMCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:50.900796Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.22852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:971219e2823a6bdf77dd36d6025e224da89db96255048486cf90230232a5ae4f","sha256:5008f8668a72a3c55757ee36fde7cbf16a1d34559e330d3a7c1e10a39042c685"],"state_sha256":"bc10496f4bb623465333e6d0ef94fda177ece6246859cfde72af5f684da8ceed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTSZJFiFKMfW2QmooI40yNsS2su5n9jgBtvEPIOUxPBhAB/e+PIZ8y2na12XsPTvMjbetR6dm0CDJZqYUHjtAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T14:40:05.676760Z","bundle_sha256":"29d42cc4526ce7f5e7bbc9e7e3a095180eaab45e56ab6733e7c01892cd9a705c"}}