{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VJVMC6R5GF632UD4IFCI4BROP6","short_pith_number":"pith:VJVMC6R5","canonical_record":{"source":{"id":"2412.17056","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-22T15:08:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b5a4c63e3ff7f5844fc3de169ba53791a67b1ea84250c417437e52c8a647d0b7","abstract_canon_sha256":"49ccbbeeae4277d0cc7809e277f18a8eab8d74b46c2f95e76664aab0169639bb"},"schema_version":"1.0"},"canonical_sha256":"aa6ac17a3d317dbd507c41448e062e7f9b4b0f38129af9a96dfd17b8a42f5f71","source":{"kind":"arxiv","id":"2412.17056","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17056","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17056v2","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17056","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_12","alias_value":"VJVMC6R5GF63","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_16","alias_value":"VJVMC6R5GF632UD4","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_8","alias_value":"VJVMC6R5","created_at":"2026-07-05T10:38:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VJVMC6R5GF632UD4IFCI4BROP6","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17056","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-22T15:08:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b5a4c63e3ff7f5844fc3de169ba53791a67b1ea84250c417437e52c8a647d0b7","abstract_canon_sha256":"49ccbbeeae4277d0cc7809e277f18a8eab8d74b46c2f95e76664aab0169639bb"},"schema_version":"1.0"},"canonical_sha256":"aa6ac17a3d317dbd507c41448e062e7f9b4b0f38129af9a96dfd17b8a42f5f71","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:38:40.683653Z","signature_b64":"25/jlwiNDoMcuylyaQpp1KbIhBjlUagXo1Yo9o/iN2SZFTASjlG/AA1xa8U4s9Uy2EjBeevph1dSzSK2NXTDDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa6ac17a3d317dbd507c41448e062e7f9b4b0f38129af9a96dfd17b8a42f5f71","last_reissued_at":"2026-07-05T10:38:40.683165Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:38:40.683165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17056","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":"2026-07-05T10:38:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z59Y+uFqO/H6eG9IWpossTqvc6XrptT1ab7W28nP2nEli/Sz4SiCRdIA8pqLCdl8oU8SL70ojn8/Vw2v/FZhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:11:31.394653Z"},"content_sha256":"9873796ddc18e288e229c19df4aa3890721844937f786cde11fc902fd8898fb0","schema_version":"1.0","event_id":"sha256:9873796ddc18e288e229c19df4aa3890721844937f786cde11fc902fd8898fb0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VJVMC6R5GF632UD4IFCI4BROP6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Fabian Ridder, Malte Schilling","submitted_at":"2024-12-22T15:08:24Z","abstract_excerpt":"Detecting hallucinations in large language models (LLMs) is critical for enhancing their reliability and trustworthiness. Most research focuses on hallucinations as deviations from information seen during training. However, the opaque nature of an LLM's parametric knowledge complicates the understanding of why generated texts appear ungrounded: The LLM might not have picked up the necessary knowledge from large and often inaccessible datasets, or the information might have been changed or contradicted during further training. Our focus is on hallucinations involving information not used in tra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17056","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/2412.17056/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":"2026-07-05T10:38:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vz+QwoAmUVVm8nYgRamYT9p5mgkdG63lzBlz1+U9F4jZw5wgun3LXxZ9VMh46FtE8Kdzek1oRtMLpKnj9PrXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:11:31.395167Z"},"content_sha256":"d0d2d18f5bbafe8e45c2f8c0c8b132bbdedacd7d5b6918dd934ac229bf32aa4d","schema_version":"1.0","event_id":"sha256:d0d2d18f5bbafe8e45c2f8c0c8b132bbdedacd7d5b6918dd934ac229bf32aa4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJVMC6R5GF632UD4IFCI4BROP6/bundle.json","state_url":"https://pith.science/pith/VJVMC6R5GF632UD4IFCI4BROP6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJVMC6R5GF632UD4IFCI4BROP6/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":"2026-08-12T19:11:31Z","links":{"resolver":"https://pith.science/pith/VJVMC6R5GF632UD4IFCI4BROP6","bundle":"https://pith.science/pith/VJVMC6R5GF632UD4IFCI4BROP6/bundle.json","state":"https://pith.science/pith/VJVMC6R5GF632UD4IFCI4BROP6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJVMC6R5GF632UD4IFCI4BROP6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VJVMC6R5GF632UD4IFCI4BROP6","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":"49ccbbeeae4277d0cc7809e277f18a8eab8d74b46c2f95e76664aab0169639bb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-22T15:08:24Z","title_canon_sha256":"b5a4c63e3ff7f5844fc3de169ba53791a67b1ea84250c417437e52c8a647d0b7"},"schema_version":"1.0","source":{"id":"2412.17056","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17056","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17056v2","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17056","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_12","alias_value":"VJVMC6R5GF63","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_16","alias_value":"VJVMC6R5GF632UD4","created_at":"2026-07-05T10:38:40Z"},{"alias_kind":"pith_short_8","alias_value":"VJVMC6R5","created_at":"2026-07-05T10:38:40Z"}],"graph_snapshots":[{"event_id":"sha256:d0d2d18f5bbafe8e45c2f8c0c8b132bbdedacd7d5b6918dd934ac229bf32aa4d","target":"graph","created_at":"2026-07-05T10:38:40Z","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/2412.17056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting hallucinations in large language models (LLMs) is critical for enhancing their reliability and trustworthiness. Most research focuses on hallucinations as deviations from information seen during training. However, the opaque nature of an LLM's parametric knowledge complicates the understanding of why generated texts appear ungrounded: The LLM might not have picked up the necessary knowledge from large and often inaccessible datasets, or the information might have been changed or contradicted during further training. Our focus is on hallucinations involving information not used in tra","authors_text":"Fabian Ridder, Malte Schilling","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17056","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":"sha256:9873796ddc18e288e229c19df4aa3890721844937f786cde11fc902fd8898fb0","target":"record","created_at":"2026-07-05T10:38:40Z","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":"49ccbbeeae4277d0cc7809e277f18a8eab8d74b46c2f95e76664aab0169639bb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-22T15:08:24Z","title_canon_sha256":"b5a4c63e3ff7f5844fc3de169ba53791a67b1ea84250c417437e52c8a647d0b7"},"schema_version":"1.0","source":{"id":"2412.17056","kind":"arxiv","version":2}},"canonical_sha256":"aa6ac17a3d317dbd507c41448e062e7f9b4b0f38129af9a96dfd17b8a42f5f71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa6ac17a3d317dbd507c41448e062e7f9b4b0f38129af9a96dfd17b8a42f5f71","first_computed_at":"2026-07-05T10:38:40.683165Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:40.683165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"25/jlwiNDoMcuylyaQpp1KbIhBjlUagXo1Yo9o/iN2SZFTASjlG/AA1xa8U4s9Uy2EjBeevph1dSzSK2NXTDDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:40.683653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17056","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9873796ddc18e288e229c19df4aa3890721844937f786cde11fc902fd8898fb0","sha256:d0d2d18f5bbafe8e45c2f8c0c8b132bbdedacd7d5b6918dd934ac229bf32aa4d"],"state_sha256":"b1c149c926fa10f337a0da5c3f21f1d72e4f988afbc0160c57dc25ec96cd9be9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NyAjIU8TWqmuI0Sydl9yr1nYNZqH8BiYbqEjIKkcDNWgl3P1fa1lnhTMgrmF7d9KwaUIqCcO2zm2YLDKvib5Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T19:11:31.399010Z","bundle_sha256":"60a267edbace512075d6c4b80523ebd9651c8b8860468a9d65dbda53ac46a6aa"}}