{"as_of":"2026-08-04T20:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8064079b18f410bd0c43f226aab7620f3b17867cf7093d7fd54812f6ccef37ef","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T18:52:13.198673Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T13:21:16.401262Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.05168","snapshot_observed_at":"2026-08-01T13:21:16.401262Z","title":"Instruction-tuned llms for parsing and mining unstructured logs on leadership hpc systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.19143","last_updated":"2026-07-21T14:36:25Z","snapshot_observed_at":"2026-08-03T15:38:38.202030Z","submitted_at":"2026-07-21T14:36:25Z","title":"A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T13:21:16.401262Z"},"links":{"cited_paper":"/paper/2604.05168","citing_paper":"/paper/2607.19143"},"observation_digest":"sha256:1f1cb84a36eea11cb452611f3f1f72a253744ee0a63a7747306904c446f3a850","observation_id":"05e47cfa-e70e-40a2-9ac3-4fc31f3e5b84","resolution":{"observed_at":"2026-08-01T13:21:16.401262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.05168/citation-record","integrity":"/paper/2604.05168/integrity","json":"/paper/2604.05168/citation-record.json","paper":"/paper/2604.05168"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From exploration to explanation: Ml-driven causal discovery for datacenter reliability at scale","venue":null,"work_id":"53a86453-fc07-47ab-a462-6f001ab5932c","year":2025},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:a976cc161fc203af03cf0c91443effd5f14fb85072478568c512a9fa2b465a66","observation_id":"242006f9-7221-410d-9b45-046a06beff8d","resolution":{"observed_at":"2026-05-16T13:32:56.490133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Big data meets hpc log analytics: Scalable approach to under- standing systems at extreme scale","venue":null,"work_id":"fc0677cb-bb83-4919-842c-758643cd5661","year":2017},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:36b62c48d8e6f4d6dba4e59d5df5fcd512ea13581b210bbf3c436d4f7c40440e","observation_id":"fc6b4e3d-8ad9-461a-b51c-c2c76261992a","resolution":{"observed_at":"2026-05-16T13:32:56.503777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Drain: An online log parsing approach with fixed depth tree","venue":null,"work_id":"1626abf8-b2f5-4b43-8d44-fce600e9328f","year":2017},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:2a1cc21ae0b7ebdd1e900fd45eedee0f0da44f9fbfc388a856707fe5cdb497b8","observation_id":"15a493be-ea64-4720-8082-ed9c825b4584","resolution":{"observed_at":"2026-05-16T13:32:56.493090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Spell: Streaming parsing of system event logs","venue":null,"work_id":"7c5312d1-4cea-4cc2-8f2a-8368cdfa0d9f","year":2016},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:3f65b08caaf10b14d2df1a1210148807869b1fa7538c676264472114593d63db","observation_id":"cfbd6750-9978-4bad-a43e-5359c084e533","resolution":{"observed_at":"2026-05-16T13:32:56.500232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Logparser-llm: Advancing efficient log parsing with large language models","venue":null,"work_id":"247b0b8a-93be-4f40-8dc0-c8b8019874d4","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:e14b283a44d6351d39ea7ed6b4aecc294ea51b3a2f7cc8658429807fb1a77e97","observation_id":"06bc8916-0a09-4f03-abac-eb7dfbabee3c","resolution":{"observed_at":"2026-05-16T13:32:56.508326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Divlog: Log parsing with prompt enhanced in-context learning","venue":null,"work_id":"fcdcf24d-b07e-4599-adcb-c2c0390d5bfa","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:7eb27b8c5603b84cecd6f8b95e0cecfc8699540b63e5622f6f99b9a4c254d100","observation_id":"a87d554f-bbf4-4208-a159-a8ee08820175","resolution":{"observed_at":"2026-05-16T13:32:56.496858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Logan: An llm-based log analytics tool with causal inferencing","venue":null,"work_id":"08b5fca8-868b-4f3a-87d6-e069dfbe5ece","year":2025},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:afd67401472b49a482cd53e6979f95f6035d8fbe4324c840ca36846461fc48e7","observation_id":"6ccd0477-fffc-4381-9d6c-042f43163039","resolution":{"observed_at":"2026-05-16T13:32:56.513153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Face it your- selves: An llm-based two-stage strategy to localize configuration errors via logs","venue":null,"work_id":"451fc902-f3e8-465f-af74-f102a5082bb1","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:4de78c282f2bedb4c7595fcf9394f96634285b8405fa2aab77758d2f78a9ae22","observation_id":"9a0f97c8-b23b-46de-882b-52fbe02ba213","resolution":{"observed_at":"2026-05-16T13:32:56.516658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01652","last_updated":"2022-02-08T20:26:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-09-03T17:55:52Z","title":"Finetuned Language Models Are Zero-Shot Learners","version":5},"cited_work":{"arxiv_id":"2109.01652","doi":"10.3030/823782","metadata_source":"pith","pith_arxiv_id":"2109.01652","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Finetuned Language Models Are Zero-Shot Learners","venue":"cs.CL","work_id":"7ed6cdaa-ed67-4db4-aceb-b7e1b0e6e7c4","year":2021},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"cited_paper":"/paper/2109.01652","citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:0886d4909ab7fb74c870f9f35ca99f0e670004ddf3861de40002c8a168faa54d","observation_id":"2924abdd-13c8-4a6d-beff-6da78cb30d79","resolution":{"observed_at":"2026-05-10T23:45:53.646548Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":"a27eba1c-96e4-4e8a-8dba-1bb9ed86bb04","year":2022},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:10c73f43f9733233e27f378701b7a2563c150d750c8cfeadd0b6e15375f5c1f3","observation_id":"f02c5d3c-95d8-4be7-b071-b3f74559095b","resolution":{"observed_at":"2026-05-16T13:32:56.536888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":"c95afdf4-5f58-4c53-9fa2-ea57f1847015","year":2022},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:6fc6323209ba7f6dfba9abecd9d7f934ca9a1a95dc2a4e20d5c9c84d9e2a2c72","observation_id":"896d1321-42f3-4030-8b54-2f5038feb297","resolution":{"observed_at":"2026-05-16T13:32:56.594824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An analysis of system balance and architectural trends based on top500 supercomputers","venue":null,"work_id":"86a24213-8126-44fa-8125-02e1b3105d84","year":2021},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:f7609592b1235f3b6e1ca6b0b8e62d8779b8625bb2dd752c872279703ed8d14c","observation_id":"7bc53bf3-02c3-439c-8a9e-27d54c538d8b","resolution":{"observed_at":"2026-05-16T13:32:56.579286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An evaluation of the effect of network cost optimization for leadership class supercomputers","venue":null,"work_id":"4deca1e0-f814-47ec-a8a1-14edb228001f","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:3da66f4df89570e09568747581c0b9a5308d1c16e625b1d3d6b4ada323439835","observation_id":"74ea4cbb-1d08-4596-b2d1-1c7df95d7150","resolution":{"observed_at":"2026-05-16T13:32:56.585198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Clus- tering event logs using iterative partitioning","venue":null,"work_id":"3ec5c652-d137-4b1e-b2bb-b84ca28c2b6f","year":2009},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:0767b884b4e797930302eb107a7963c994e8132a23999ede8b58c0ac7cef063e","observation_id":"4017ad4e-8008-43dc-a974-d2496ad42afd","resolution":{"observed_at":"2026-05-16T13:32:56.591248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Logmine: Fast pattern recognition for log analytics","venue":null,"work_id":"e7f99684-2d55-467f-ab41-a293586daadd","year":2016},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:7397749674025ba972063764c184a24ae8a04ac21dea3c9ffa5467f48743934f","observation_id":"05d5d8c9-5856-4e80-8cfe-f7affe62e914","resolution":{"observed_at":"2026-05-16T13:32:56.588083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Incremental mining of system log format","venue":null,"work_id":"2a0deeba-02e6-4e0f-9e05-2c9e94f92e79","year":2013},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:6bb9dcd0df2e7c1a085c5d7fb9aa5e69462ce64e1894a957bd34b63f257888be","observation_id":"672f2361-d403-42e9-b8f7-468a15013225","resolution":{"observed_at":"2026-05-16T13:32:56.566257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A search-based approach for accurate identification of log message formats","venue":null,"work_id":"24c3af3c-0cce-4938-bd86-5136fcec5676","year":2018},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:508fbf8652f34c39f5b265a3db0e181f2bfb31fcc945143e5e82489ad5a631a9","observation_id":"08ec096b-1b08-4a8a-a871-f063202de496","resolution":{"observed_at":"2026-05-16T13:32:56.569326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Logbert: Log anomaly detection via bert","venue":null,"work_id":"7e76aae2-9f81-499a-a8e9-3941af148bc1","year":2021},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:dfb028b2b586d633cd47ec0e7c90e4fc69e659b49b963af8b3d65fe1bcd4daa7","observation_id":"e883c495-805d-452f-a74f-3a946d6e7a11","resolution":{"observed_at":"2026-05-16T13:32:56.576232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Deeplog: Anomaly detection and diagnosis from system logs through deep learn- ing","venue":null,"work_id":"7db68268-25fc-4de1-891b-be00eb735aab","year":2017},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:d1148d4600705010d107806517c5289ad982519e00da854deac173384fc3239b","observation_id":"9a2205f9-938a-4fdd-9251-55738e3f8170","resolution":{"observed_at":"2026-05-16T13:32:56.550590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Alpaca: A strong, replicable instruction-following model","venue":null,"work_id":"93bfae48-eacf-4c5d-8f61-bbc2179ac42a","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:b2dff409927a61d6c88e98ddddb5cb1c4ecfb369737231ddf1f5e7dc20e4580d","observation_id":"d1e800f3-d482-449a-a748-771efe14ce68","resolution":{"observed_at":"2026-05-16T13:32:56.554262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Language models are few-shot learners","venue":null,"work_id":"b3efbd17-b1d2-4ca3-ba8a-4b84d713123a","year":1901},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:45a873db79f1f96338bb573987d044616717d13ea4ddc372a028570651fe5c27","observation_id":"a03d7f19-da56-41ad-b9f4-5ed7d17a9ba7","resolution":{"observed_at":"2026-05-16T13:32:56.557660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":"2302.13971","doi":"10.48550/arxiv.2302.13971","metadata_source":"pith","pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-07-11T03:47:48.508181Z","title":"LLaMA: Open and Efficient Foundation Language Models","venue":"cs.CL","work_id":"c018fc23-6f3f-4035-9d02-28a2173b2b9d","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:19908efec3d083c4cb12640149cf64d190646fa9535598dd7e08ded111c10082","observation_id":"1c09f3df-3fbd-477f-9615-3581d7725629","resolution":{"observed_at":"2026-05-10T23:45:53.660604Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16867","last_updated":"2023-11-29T19:45:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-28T15:12:47Z","title":"The Falcon Series of Open Language Models","version":2},"cited_work":{"arxiv_id":"2311.16867","doi":"10.48550/arxiv.2311.16867","metadata_source":"pith","pith_arxiv_id":"2311.16867","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"The Falcon Series of Open Language Models","venue":"cs.CL","work_id":"9ef058cb-28ba-4128-b9b7-a707f2fd36b3","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"cited_paper":"/paper/2311.16867","citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:296185707b0e5b713b1159d8e94de57e638a7657a0bed93ccf4babd510352f83","observation_id":"a047d3c5-ca3f-4dec-8d11-ef713893bf62","resolution":{"observed_at":"2026-05-16T09:46:10.372699Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Llmparser: An exploratory study on using large language models for log parsing","venue":null,"work_id":"89b1a767-cd99-4f72-b2b1-b88774d5f8ab","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:c1ba3d45a21c4746e3a678d0a66d1e75207e3b486310e95cf8f5120293946f4a","observation_id":"27c4dbb1-368f-4417-9ff2-205371e67375","resolution":{"observed_at":"2026-05-16T13:32:56.561249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Frontier: exploring exascale","venue":null,"work_id":"9135f97e-d684-4533-83d8-9783127152cd","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:7da921b5b01343a40c812860a9b3828e6359f5303ffc1bb7551a65889cbf34e3","observation_id":"bcc2a9a6-b41a-4cae-8159-d33514e06c10","resolution":{"observed_at":"2026-05-16T13:32:56.572900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14904","last_updated":"2023-11-25T02:45:50Z","snapshot_observed_at":"2026-07-06T16:52:11.338048Z","submitted_at":"2023-11-25T02:45:50Z","title":"LLM-Assisted Code Cleaning For Training Accurate Code Generators","version":1},"cited_work":{"arxiv_id":"2311.14904","doi":"10.48550/arxiv.2311.14904","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.14904","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"LLM-Assisted Code Cleaning For Training Accurate Code Generators , journal =","venue":null,"work_id":"1e042739-f867-4b52-95f0-2b43a1a3e6e6","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"cited_paper":"/paper/2311.14904","citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:340a3616930967b3c46f0e0fcde6bdf6caad535acc80aec3d9e6bedcd159134e","observation_id":"63db0c2d-40ac-419d-b19d-0906c4bcd1b8","resolution":{"observed_at":"2026-05-10T23:45:53.672452Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"78c8bd84-3d28-4ce3-bf83-defb443557fe","year":2022},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:706fb951899207f1dd126229567ef7cd84620179af415b429e00f6dde59e3838","observation_id":"fd853480-5bd7-43b4-9621-2f62d3dec769","resolution":{"observed_at":"2026-05-16T13:32:56.582360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Claude 3.5 sonnet model card and technical overview","venue":null,"work_id":"8f4eb65d-a6f5-4246-8da9-bed105b98eb5","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:dce5be055a8d26f49b96643fd9658a9e0d58bed693e5dc9cf20bd200031472aa","observation_id":"20e88ab9-9e99-4f97-85e3-1a3f12c63cbf","resolution":{"observed_at":"2026-05-16T13:32:56.544229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Meta llama 3 70b model card","venue":null,"work_id":"811b855b-7f54-49e6-92bb-7235e45de75f","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:8894885f55edd06f74cfa9a7262ad412bd607abc81a34ce6a0fddf6fe0f8d1e2","observation_id":"0379f222-28a9-47bb-98ba-3107d0cd4280","resolution":{"observed_at":"2026-05-16T13:32:56.547330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Meta llama 3 8b model card","venue":null,"work_id":"88b2b500-c824-4f9d-bd42-00052398e63d","year":2024},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:cf9c698b6d91cb0333ea22606482403540add40662c8d5e205c2e8ba6c80d7a8","observation_id":"ca8dca07-f225-4ccc-99bc-cbef2f2e2325","resolution":{"observed_at":"2026-05-16T13:32:56.540217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Loghub: A large collection of system log datasets for ai-driven log analytics","venue":null,"work_id":"49c97dd1-bca9-4e21-b53e-2dd63a7ec112","year":2023},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:61ee95595dff0d40076752a2e9a6fc1a3f1517a1955835f6996954937434e2be","observation_id":"101cc2ee-3a20-415c-bbfb-8221b0552205","resolution":{"observed_at":"2026-05-16T13:32:56.532843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A tutorial on kernel density estimation and recent advances","venue":null,"work_id":"87913bd0-2450-4cb3-8278-85671e5c483b","year":2017},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:81582e1f5d74ac473e210d48dc15b88c8de0f006ea5b54c7a628ccb934288186","observation_id":"a3fc0d28-675a-479f-9580-e621515382a9","resolution":{"observed_at":"2026-05-16T13:32:56.520761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Hierarchical grouping to optimize an objective function","venue":null,"work_id":"7f80ab10-9dd4-49ba-a94c-37de56c84e3f","year":1963},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:efbfa98577d98812c2850756f65e6babd7a05947c9c482644c57bb0c85fa7dba","observation_id":"0845b0b6-f88d-4057-bda0-280b3db0ecff","resolution":{"observed_at":"2026-05-16T13:32:56.523706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Binary codes capable of correcting deletions, insertions and reversals","venue":null,"work_id":"98eac8fd-b59b-4254-ad56-2dfc364c8118","year":1966},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:1cf693e974599a4424b242731a556f342c1771c1c6b39451cee23f6df280e5ad","observation_id":"49eeb68a-8978-47ac-a171-b1a868b33d11","resolution":{"observed_at":"2026-05-16T13:32:56.526688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Word error rate estimation for speech recognition: e-wer","venue":null,"work_id":"f397b917-4b6b-472a-ae65-bddb01d41115","year":2018},"citing_paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:13.198673Z"},"links":{"citing_paper":"/paper/2604.05168"},"observation_digest":"sha256:aa3543a1cfdc2604bed215411b05254eab60a2aa4854e4cd072a2a697746b213","observation_id":"ad93ff37-9913-43d7-8404-bae3fefb92d0","resolution":{"observed_at":"2026-05-16T13:32:56.530088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.05168","last_updated":"2026-04-06T20:59:48Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:54:00.211106Z","submitted_at":"2026-04-06T20:59:48Z","title":"Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":4,"verified_fuzzy":31},"total_outbound_references":35},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2604.05168."}