{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3VBPNXGKXKOPMEKCF343NFRQPV","short_pith_number":"pith:3VBPNXGK","canonical_record":{"source":{"id":"2507.02986","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-01T10:01:21Z","cross_cats_sorted":[],"title_canon_sha256":"0e7bc5945cfed7ba2d1d5bedfc84c1aa7cdd08c26009b44d5b87e2e7b6e06862","abstract_canon_sha256":"81e0343a4bf9a8d3ced7613739a843c702a7979dd47eb5a1b02c4e345abfe0c0"},"schema_version":"1.0"},"canonical_sha256":"dd42f6dccaba9cf611422ef9b696307d55431b7030794f391ea33fb197ae54c7","source":{"kind":"arxiv","id":"2507.02986","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02986","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02986v2","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02986","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_12","alias_value":"3VBPNXGKXKOP","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_16","alias_value":"3VBPNXGKXKOPMEKC","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_8","alias_value":"3VBPNXGK","created_at":"2026-07-05T11:33:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3VBPNXGKXKOPMEKCF343NFRQPV","target":"record","payload":{"canonical_record":{"source":{"id":"2507.02986","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-01T10:01:21Z","cross_cats_sorted":[],"title_canon_sha256":"0e7bc5945cfed7ba2d1d5bedfc84c1aa7cdd08c26009b44d5b87e2e7b6e06862","abstract_canon_sha256":"81e0343a4bf9a8d3ced7613739a843c702a7979dd47eb5a1b02c4e345abfe0c0"},"schema_version":"1.0"},"canonical_sha256":"dd42f6dccaba9cf611422ef9b696307d55431b7030794f391ea33fb197ae54c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:26.067426Z","signature_b64":"sSoKH6tZmOmPudEo7lThnDyEv4EU/iOSJuiFSW7azHUNQNMw4JKUaXdmJ5rcs6PatZ9QfwEwooNqWkGt4rtnAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd42f6dccaba9cf611422ef9b696307d55431b7030794f391ea33fb197ae54c7","last_reissued_at":"2026-07-05T11:33:26.066719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:26.066719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.02986","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:33:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z8pr+GuCwbWWSxHYNfZpigPb1yl6caAxVLHo68JU220Xi32OOOODI/OG4qmnw3FX7Cqq1D95miiBrGPA0XL9Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:49:57.600236Z"},"content_sha256":"298de698260a663b6b99f6226edb7cb88e70dad53aa8dcf5ac40900f86c99ee7","schema_version":"1.0","event_id":"sha256:298de698260a663b6b99f6226edb7cb88e70dad53aa8dcf5ac40900f86c99ee7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3VBPNXGKXKOPMEKCF343NFRQPV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dhaval Salwala, Elizabeth Daly, Inge Vejsbjerg, Seshu Tirupathi","submitted_at":"2025-07-01T10:01:21Z","abstract_excerpt":"As Large Language Models (LLMs) continue to be increasingly applied across various domains, their widespread adoption necessitates rigorous monitoring to prevent unintended negative consequences and ensure robustness. Furthermore, LLMs must be designed to align with human values, like preventing harmful content and ensuring responsible usage. The current automated systems and solutions for monitoring LLMs in production are primarily centered on LLM-specific concerns like hallucination etc, with little consideration given to the requirements of specific use-cases and user preferences. This pape"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02986","kind":"arxiv","version":2},"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/2507.02986/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":"2026-07-05T11:33:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rZpPtj2yKK4Z3B/cl+o8Xjif15iiPbhBUk0/fvNkPdtcpZ8c0BcarBiNW/3F1phv7UiRNCnlHmZSzeC3Q8fLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:49:57.600633Z"},"content_sha256":"6f086fde08a899cf5e4faaeda050baa64290a1117ee6e8321e0c3a0e87f72d01","schema_version":"1.0","event_id":"sha256:6f086fde08a899cf5e4faaeda050baa64290a1117ee6e8321e0c3a0e87f72d01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VBPNXGKXKOPMEKCF343NFRQPV/bundle.json","state_url":"https://pith.science/pith/3VBPNXGKXKOPMEKCF343NFRQPV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VBPNXGKXKOPMEKCF343NFRQPV/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":"2026-07-09T02:49:57Z","links":{"resolver":"https://pith.science/pith/3VBPNXGKXKOPMEKCF343NFRQPV","bundle":"https://pith.science/pith/3VBPNXGKXKOPMEKCF343NFRQPV/bundle.json","state":"https://pith.science/pith/3VBPNXGKXKOPMEKCF343NFRQPV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VBPNXGKXKOPMEKCF343NFRQPV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3VBPNXGKXKOPMEKCF343NFRQPV","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":"81e0343a4bf9a8d3ced7613739a843c702a7979dd47eb5a1b02c4e345abfe0c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-01T10:01:21Z","title_canon_sha256":"0e7bc5945cfed7ba2d1d5bedfc84c1aa7cdd08c26009b44d5b87e2e7b6e06862"},"schema_version":"1.0","source":{"id":"2507.02986","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02986","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02986v2","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02986","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_12","alias_value":"3VBPNXGKXKOP","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_16","alias_value":"3VBPNXGKXKOPMEKC","created_at":"2026-07-05T11:33:26Z"},{"alias_kind":"pith_short_8","alias_value":"3VBPNXGK","created_at":"2026-07-05T11:33:26Z"}],"graph_snapshots":[{"event_id":"sha256:6f086fde08a899cf5e4faaeda050baa64290a1117ee6e8321e0c3a0e87f72d01","target":"graph","created_at":"2026-07-05T11:33:26Z","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/2507.02986/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Large Language Models (LLMs) continue to be increasingly applied across various domains, their widespread adoption necessitates rigorous monitoring to prevent unintended negative consequences and ensure robustness. Furthermore, LLMs must be designed to align with human values, like preventing harmful content and ensuring responsible usage. The current automated systems and solutions for monitoring LLMs in production are primarily centered on LLM-specific concerns like hallucination etc, with little consideration given to the requirements of specific use-cases and user preferences. This pape","authors_text":"Dhaval Salwala, Elizabeth Daly, Inge Vejsbjerg, Seshu Tirupathi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-01T10:01:21Z","title":"GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02986","kind":"arxiv","version":2},"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":"sha256:298de698260a663b6b99f6226edb7cb88e70dad53aa8dcf5ac40900f86c99ee7","target":"record","created_at":"2026-07-05T11:33:26Z","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":"81e0343a4bf9a8d3ced7613739a843c702a7979dd47eb5a1b02c4e345abfe0c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-07-01T10:01:21Z","title_canon_sha256":"0e7bc5945cfed7ba2d1d5bedfc84c1aa7cdd08c26009b44d5b87e2e7b6e06862"},"schema_version":"1.0","source":{"id":"2507.02986","kind":"arxiv","version":2}},"canonical_sha256":"dd42f6dccaba9cf611422ef9b696307d55431b7030794f391ea33fb197ae54c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd42f6dccaba9cf611422ef9b696307d55431b7030794f391ea33fb197ae54c7","first_computed_at":"2026-07-05T11:33:26.066719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:33:26.066719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sSoKH6tZmOmPudEo7lThnDyEv4EU/iOSJuiFSW7azHUNQNMw4JKUaXdmJ5rcs6PatZ9QfwEwooNqWkGt4rtnAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:33:26.067426Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.02986","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:298de698260a663b6b99f6226edb7cb88e70dad53aa8dcf5ac40900f86c99ee7","sha256:6f086fde08a899cf5e4faaeda050baa64290a1117ee6e8321e0c3a0e87f72d01"],"state_sha256":"06a61fdecc586e33f92697faa977ea7ba109c496dbb46981e7f0683c079b8707"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RkBeTS9mjmQ6MuSIm8ALAil/GfkXvbIM2I7gP8Pwb8jpuKHgOwVd95Hs8jYULu2tliCUsT7WyyKMdg/ffFPOBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T02:49:57.602670Z","bundle_sha256":"92de013aad31dd6a88d90ab3ce414dfad78f0c1c783c541c251e2ba0ec0fc81e"}}