{"as_of":"2026-08-12T22:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69d23a21c876bc3e2ce1a076375893375304ce19d2efda2062410855e96ef398","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:53:13.032716Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:19:07.300028Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-22T13:24:53.362077Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.17056","snapshot_observed_at":"2026-08-07T10:19:07.300028Z","title":"The hallurag dataset: Detecting closed- domain hallucinations in rag applications using an llm’s internal states,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02870","last_updated":"2025-06-06T10:50:08Z","snapshot_observed_at":"2026-08-08T01:09:03.836574Z","submitted_at":"2025-06-06T10:50:08Z","title":"Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models","version":1},"reference_index":165,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:07.300028Z"},"links":{"cited_paper":"/paper/2412.17056","citing_paper":"/paper/2507.02870"},"observation_digest":"sha256:9a84413ffbddfa74e1d8638629e19373b5b44458a2cf4e9b1ece5e67f4697560","observation_id":"d7a6cb6f-a4a1-4c2a-ac1e-98225cfd701d","resolution":{"observed_at":"2026-08-07T10:19:07.300028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"cited_work":{"arxiv_id":"2412.17056","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17056","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Frank Rosenblatt","venue":null,"work_id":"9354c30a-d306-4bf5-8e4c-9f92fa9c39cc","year":2025},"citing_paper":{"arxiv_id":"2510.03271","last_updated":"2026-05-21T09:16:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-27T07:42:54Z","title":"Decision Potential Surface: A Theoretical and Practical Approximation of Large Language Model Decision Boundary","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-22T13:22:37.107679Z"},"links":{"cited_paper":"/paper/2412.17056","citing_paper":"/paper/2510.03271"},"observation_digest":"sha256:84226c24f4adc7bb135e620bc8cd58c6e5c7260704dd47079b8d23c82a62f7ff","observation_id":"f05b7c26-15b1-4a1d-b199-c77912262a76","resolution":{"observed_at":"2026-05-22T13:24:53.364612Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"cited_work":{"arxiv_id":"2412.17056","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.17056","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Frank Rosenblatt","venue":null,"work_id":"9354c30a-d306-4bf5-8e4c-9f92fa9c39cc","year":2025},"citing_paper":{"arxiv_id":"2604.15945","last_updated":"2026-04-17T11:07:32Z","snapshot_observed_at":"2026-07-06T23:03:21.422544Z","submitted_at":"2026-04-17T11:07:32Z","title":"RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-10T08:38:42.029762Z"},"links":{"cited_paper":"/paper/2412.17056","citing_paper":"/paper/2604.15945"},"observation_digest":"sha256:57198dd61074fe39b443720369ff6c64571cd42cff87978f6440e6231968a2b8","observation_id":"f0a82a92-3ac4-49d3-800d-e5b46084199f","resolution":{"observed_at":"2026-05-10T08:43:02.017665Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.17056/citation-record","integrity":"/paper/2412.17056/integrity","json":"/paper/2412.17056/citation-record.json","paper":"/paper/2412.17056"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.594082Z","title":"Do language models know when they're hallucinating references?, 2024","venue":null,"work_id":"1ae2b50c-75a3-4ff2-894e-76b367627d10","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.922313Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:ce706258271746349b9315e552ff1cd8c7406cb7677b37fa4c32d4feda06333e","observation_id":"5ad4abf3-063e-4134-8dd8-f07283a49ed7","resolution":{"observed_at":"2026-08-11T05:53:13.598669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.579222Z","title":"The internal state of an llm knows when it's lying, 2023","venue":null,"work_id":"7d5ab84e-915e-4f22-bb9d-f8605a7a22e4","year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.927396Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:b81fd39e86ed189ae3852aa20009f9a17feb833e363a48f217abdecd0dedf943","observation_id":"3abbe4cb-7791-4756-a726-a10aa5c64548","resolution":{"observed_at":"2026-08-11T05:53:13.584198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.931911Z","title":"Inside: Llms' internal states retain the power of hallucination detection, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.931911Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:66705085378a94fef97d9300fbf739044e7e28368d95cb79196c85e585eef96b","observation_id":"45c2283b-067b-4235-b505-d224a87197ba","resolution":{"observed_at":"2026-08-11T05:53:12.931911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11283","last_updated":"2025-03-07T04:29:19Z","snapshot_observed_at":"2026-08-12T22:43:08.330534Z","submitted_at":"2024-09-17T15:38:36Z","title":"Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling","version":4},"cited_work":{"arxiv_id":"2409.11283","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.11283","snapshot_observed_at":"2026-08-11T05:53:13.372309Z","title":"Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling","venue":"cs.CL","work_id":"092fcdcf-70aa-4508-9915-c6f978d80a18","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.936295Z"},"links":{"cited_paper":"/paper/2409.11283","citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:eb8e089158ace95fd2c925921080438237b2a09c1f2baae9b5501192ce99a6db","observation_id":"f78198d3-c76c-4197-bab6-d71b9ccfd152","resolution":{"observed_at":"2026-08-11T05:53:13.377216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.18344","last_updated":"2023-10-22T14:45:14Z","snapshot_observed_at":"2026-08-10T15:01:44.358201Z","submitted_at":"2023-10-22T14:45:14Z","title":"Chainpoll: A high efficacy method for LLM hallucination detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.18344","snapshot_observed_at":"2026-08-11T05:53:12.941638Z","title":"Chainpoll: A high efficacy method for llm hallucination detection, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.941638Z"},"links":{"cited_paper":"/paper/2310.18344","citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:64459590fd43d2eb0a8d7444e10d917fad07e54509555d3fdc661f828c8dcd13","observation_id":"cf05c42b-adbf-4c5b-8b5b-41a664e0de17","resolution":{"observed_at":"2026-08-11T05:53:12.941638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14486","last_updated":"2024-05-23T12:18:11Z","snapshot_observed_at":"2026-08-12T01:32:29.040625Z","submitted_at":"2024-05-23T12:18:11Z","title":"RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14486","snapshot_observed_at":"2026-08-11T05:53:12.946392Z","title":"Refchecker: Reference-based fine-grained hallucination checker and benchmark for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.946392Z"},"links":{"cited_paper":"/paper/2405.14486","citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:d5c00ca2e430c85eda0c671833f34c1022c02f9994d59a66adba2544f06e8e89","observation_id":"73818756-4cef-4969-b15f-1d832a118f10","resolution":{"observed_at":"2026-08-11T05:53:12.946392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.556522Z","title":null,"venue":null,"work_id":"4c3e3c82-df83-4f90-92f2-15b5bae6ca98","year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.951602Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:b9ad9adb6506fc60e7135d32853454ea596b86218b9cb8a11e1a95ceefd8a8bd","observation_id":"22cf4b19-5e81-4171-aed4-3469803d9fe0","resolution":{"observed_at":"2026-08-11T05:53:13.560564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.955992Z","title":"Language models (mostly) know what they know, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.955992Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:bb6d8fd076b2c961e6cc096b152de1d19330daf7a8e4a092e5ef2aa0ff62e528","observation_id":"0dba82f8-0636-44fb-8e95-b1a48533acfe","resolution":{"observed_at":"2026-08-11T05:53:12.955992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04645","last_updated":"2024-08-02T19:49:19Z","snapshot_observed_at":"2026-07-06T18:58:30.942582Z","submitted_at":"2024-08-02T19:49:19Z","title":"Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course","version":1},"cited_work":{"arxiv_id":"2408.04645","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.04645","snapshot_observed_at":"2026-08-11T05:53:13.320274Z","title":"Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course","venue":"cs.CL","work_id":"4f307493-7030-4d6c-96fc-3d145b95d976","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.960243Z"},"links":{"cited_paper":"/paper/2408.04645","citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:a0f9bd64e3858177aeb31e4beb9968f4acd065879a9efa9bf45fb115c09c05b5","observation_id":"66e22da1-e184-4824-9ec8-9322e62e6f8a","resolution":{"observed_at":"2026-08-11T05:53:13.327410Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03184","last_updated":"2023-11-11T01:26:22Z","snapshot_observed_at":"2026-08-12T05:14:08.450736Z","submitted_at":"2023-10-04T22:09:28Z","title":"Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03184","snapshot_observed_at":"2026-08-11T05:53:12.964850Z","title":"Retrieval-augmented generation to improve math question-answering: Trade-offs between groundedness and human preference","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.964850Z"},"links":{"cited_paper":"/paper/2310.03184","citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:fe971c04386fc5d4fb6cb4d40a06e6d5dc1f3f1bdd4b5a59f2dfeb2174767ce2","observation_id":"9be455bf-7e2f-49d3-a0fd-2c5f06772ac2","resolution":{"observed_at":"2026-08-11T05:53:12.964850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.532910Z","title":"u ttler, Mike Lewis, Wen tau Yih, Tim Rockt \\","venue":null,"work_id":"90c23df1-4db6-4502-90eb-eb9c2c682e84","year":2021},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.969446Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:09e2551467568a56e2f58d1266839b29e4168798751b9ac7735934672bb50e07","observation_id":"0df63a5d-369d-4634-8c93-830b34ab0daf","resolution":{"observed_at":"2026-08-11T05:53:13.537566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.973663Z","title":"Entity-based knowledge conflicts in question answering, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.973663Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:79a80e1682703cf7d3e1ea14731d2ed587a61e3e153af69fe41cee4ebbd2b045","observation_id":"078f7a26-f8f4-436d-b37b-0e2f6850c126","resolution":{"observed_at":"2026-08-11T05:53:12.973663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.977753Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.977753Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:7dec293a25fe9ec2939628b1af2e65aa4d5915b53d27ffb96f3359bef1214065","observation_id":"6eb1f861-3c90-4546-b751-5780c4e1bd01","resolution":{"observed_at":"2026-08-11T05:53:12.977753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.981811Z","title":"On faithfulness and factuality in abstractive summarization, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.981811Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:9895f18b1fb93019b3ed06c6f000ea6b4590e0b36cabb007a23ed78e12478afe","observation_id":"e1d46ae7-66d1-4b51-9103-ff50315d8aeb","resolution":{"observed_at":"2026-08-11T05:53:12.981811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.490946Z","title":null,"venue":null,"work_id":"8e0b208e-e802-4724-89c4-c90c67695f9c","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.985805Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:348767a96b95673ba383fd3855518b3e51c003e755008249f9cb0321f2958eb5","observation_id":"04cb8503-0538-4a9e-b7ef-0c2ff08aeb7a","resolution":{"observed_at":"2026-08-11T05:53:13.495068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.990034Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.990034Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:41d4f1fc1b0e7405f6d55c5ae622cd19efd89d33958e1e05dcb8ad862dd7f77c","observation_id":"d65cfb54-de9e-4a92-815e-31847b1bc2e8","resolution":{"observed_at":"2026-08-11T05:53:12.990034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.993833Z","title":"Retrieval augmentation reduces hallucination in conversation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.993833Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:22a898cc70c68d40721eb563a90c6a0cc30be423374245455166d7008f43b1fc","observation_id":"91e01965-c8c1-4650-877b-fbd9a74478cf","resolution":{"observed_at":"2026-08-11T05:53:12.993833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:12.997810Z","title":"Roformer: Enhanced transformer with rotary position embedding, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:12.997810Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:adfc393b87df602c21d80f0d5c71df8ac4e2116227551cd797623d2eca4f4fdb","observation_id":"aaba9517-d5ee-408a-936e-ca34750fec32","resolution":{"observed_at":"2026-08-11T05:53:12.997810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.458641Z","title":"Unsupervised real-time hallucination detection based on the internal states of large language models, 2024","venue":null,"work_id":"2d3a3578-853c-4993-bed1-4806960476ec","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.001974Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:6a7eae6305a3966956130e512cf487551fdde3ea49c613ac7faecf54e0b651bb","observation_id":"10609c09-bcd2-4369-afd6-2568e836b533","resolution":{"observed_at":"2026-08-11T05:53:13.463590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.443949Z","title":"Nomiracl: Knowing when you don't know for robust multilingual retrieval-augmented generation, 2024","venue":null,"work_id":"25566919-31d9-4135-8465-ffa0b2fa54d7","year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.007519Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:8743b2c3560eddd7703c0e2948331f21c39d738996640a48ac138c3aec119bee","observation_id":"17ea4122-5bc7-4eb6-b878-443b7e4068ff","resolution":{"observed_at":"2026-08-11T05:53:13.448836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.011950Z","title":"Llama 2: Open foundation and fine-tuned chat models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.011950Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:f2bb2eb2263e1ef094ca05d9babe355b567f49c093132e4a3cb9509d063b9d20","observation_id":"5ccce113-ea41-43dc-81f3-8a5bc8f35219","resolution":{"observed_at":"2026-08-11T05:53:13.011950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.016137Z","title":"Chain-of-thought prompting elicits reasoning in large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.016137Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:c760e46841e8561f5606862962656d026bb0d56f27fbf3846c8226006cc78cc3","observation_id":"94440f5b-d49b-457e-99ab-74df02ececb9","resolution":{"observed_at":"2026-08-11T05:53:13.016137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.411116Z","title":"Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023","venue":null,"work_id":"ec0280d0-8b75-42bc-9872-e8d395aab402","year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.020002Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:f304b0fcaeaeb71b697fe4a44a441cf007c4b8f76fd36639bd2d538318874d23","observation_id":"51044f8c-c651-4324-a79a-5aeb7a57a258","resolution":{"observed_at":"2026-08-11T05:53:13.415858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.024228Z","title":"Retrieval-augmented generation with knowledge graphs for customer service question answering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.024228Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:ec2be9baac7e4760b078a7b47dc16f3e3031509871e60d5d876d1f22e4845647","observation_id":"01b6d649-5a70-4a95-be5b-ea63364dfaf1","resolution":{"observed_at":"2026-08-11T05:53:13.024228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.028510Z","title":"Root mean square layer normalization, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.028510Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:24d66e9c7d53fdc0465ecb14ae625cc32001abb26059f7fd0b88a61cdf37a439","observation_id":"ce200dfc-373b-4664-96b4-abcfd49be169","resolution":{"observed_at":"2026-08-11T05:53:13.028510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:53:13.387507Z","title":"Siren's song in the ai ocean: A survey on hallucination in large language models, 2023","venue":null,"work_id":"509af8a3-5998-4887-948b-14075f9c881c","year":2023},"citing_paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T05:53:13.032716Z"},"links":{"citing_paper":"/paper/2412.17056"},"observation_digest":"sha256:9b6d73c4a2b62021ce72bf3b07d6903d90810bf43317b8eb70cd65150bc29598","observation_id":"5c3d439d-d148-4ed4-a58a-e29c8fd25fac","resolution":{"observed_at":"2026-08-11T05:53:13.392235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.17056","last_updated":"2025-03-25T10:50:21Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T01:32:21.397154Z","submitted_at":"2024-12-22T15:08:24Z","title":"The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":2,"verified_fuzzy":7},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2412.17056."}