Paper Citation Record · LEDGER

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2604.05168.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.05168 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:52:13.198673Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:21:16.401262Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact4
verified fuzzy31
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 242006f9-7221-410d-9b45-046a06beff8d · outbound

This paper cites From exploration to explanation: Ml-driven causal discovery for datacenter reliability at scale.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems From exploration to explanation: Ml-driven causal discovery for datacenter reliability at scale

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.490133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc6b4e3d-8ad9-461a-b51c-c2c76261992a · outbound

This paper cites Big data meets hpc log analytics: Scalable approach to under- standing systems at extreme scale.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Big data meets hpc log analytics: Scalable approach to under- standing systems at extreme scale

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.503777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15a493be-ea64-4720-8082-ed9c825b4584 · outbound

This paper cites Drain: An online log parsing approach with fixed depth tree.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Drain: An online log parsing approach with fixed depth tree

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.493090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cfbd6750-9978-4bad-a43e-5359c084e533 · outbound

This paper cites Spell: Streaming parsing of system event logs.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Spell: Streaming parsing of system event logs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.500232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06bc8916-0a09-4f03-abac-eb7dfbabee3c · outbound

This paper cites Logparser-llm: Advancing eﬀicient log parsing with large language models.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Logparser-llm: Advancing eﬀicient log parsing with large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.508326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a87d554f-bbf4-4208-a159-a8ee08820175 · outbound

This paper cites Divlog: Log parsing with prompt enhanced in-context learning.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Divlog: Log parsing with prompt enhanced in-context learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.496858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ccd0477-fffc-4381-9d6c-042f43163039 · outbound

This paper cites Logan: An llm-based log analytics tool with causal inferencing.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Logan: An llm-based log analytics tool with causal inferencing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.513153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a0f97c8-b23b-46de-882b-52fbe02ba213 · outbound

This paper cites Face it your- selves: An llm-based two-stage strategy to localize configuration errors via logs.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Face it your- selves: An llm-based two-stage strategy to localize configuration errors via logs

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.516658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2924abdd-13c8-4a6d-beff-6da78cb30d79 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Finetuned Language Models Are Zero-Shot Learners

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:45:53.646548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f02c5d3c-95d8-4be7-b071-b3f74559095b · outbound

This paper cites Training language models to follow instructions with human feedback.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Training language models to follow instructions with human feedback

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.536888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 896d1321-42f3-4030-8b54-2f5038feb297 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Chain-of-thought prompting elicits reasoning in large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.594824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7bc53bf3-02c3-439c-8a9e-27d54c538d8b · outbound

This paper cites An analysis of system balance and architectural trends based on top500 supercomputers.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems An analysis of system balance and architectural trends based on top500 supercomputers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.579286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74ea4cbb-1d08-4596-b2d1-1c7df95d7150 · outbound

This paper cites An evaluation of the effect of network cost optimization for leadership class supercomputers.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems An evaluation of the effect of network cost optimization for leadership class supercomputers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.585198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4017ad4e-8008-43dc-a974-d2496ad42afd · outbound

This paper cites Clus- tering event logs using iterative partitioning.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Clus- tering event logs using iterative partitioning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.591248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 05d5d8c9-5856-4e80-8cfe-f7affe62e914 · outbound

This paper cites Logmine: Fast pattern recognition for log analytics.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Logmine: Fast pattern recognition for log analytics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.588083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 672f2361-d403-42e9-b8f7-468a15013225 · outbound

This paper cites Incremental mining of system log format.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Incremental mining of system log format

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.566257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08ec096b-1b08-4a8a-a871-f063202de496 · outbound

This paper cites A search-based approach for accurate identification of log message formats.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems A search-based approach for accurate identification of log message formats

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.569326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e883c495-805d-452f-a74f-3a946d6e7a11 · outbound

This paper cites Logbert: Log anomaly detection via bert.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Logbert: Log anomaly detection via bert

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.576232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a2205f9-938a-4fdd-9251-55738e3f8170 · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learn- ing.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Deeplog: Anomaly detection and diagnosis from system logs through deep learn- ing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.550590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1e800f3-d482-449a-a748-771efe14ce68 · outbound

This paper cites Alpaca: A strong, replicable instruction-following model.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Alpaca: A strong, replicable instruction-following model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.554262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a03d7f19-da56-41ad-b9f4-5ed7d17a9ba7 · outbound

This paper cites Language models are few-shot learners.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Language models are few-shot learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.557660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1c09f3df-3fbd-477f-9615-3581d7725629 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:45:53.660604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a047d3c5-ca3f-4dec-8d11-ef713893bf62 · outbound

This paper cites The Falcon Series of Open Language Models.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems The Falcon Series of Open Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:46:10.372699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27c4dbb1-368f-4417-9ff2-205371e67375 · outbound

This paper cites Llmparser: An exploratory study on using large language models for log parsing.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Llmparser: An exploratory study on using large language models for log parsing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.561249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bcc2a9a6-b41a-4cae-8159-d33514e06c10 · outbound

This paper cites Frontier: exploring exascale.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Frontier: exploring exascale

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.572900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 63db0c2d-40ac-419d-b19d-0906c4bcd1b8 · outbound

This paper cites LLM-Assisted Code Cleaning For Training Accurate Code Generators.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems LLM-Assisted Code Cleaning For Training Accurate Code Generators

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:53.672452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd853480-5bd7-43b4-9621-2f62d3dec769 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Lora: Low-rank adaptation of large language models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.582360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20e88ab9-9e99-4f97-85e3-1a3f12c63cbf · outbound

This paper cites Claude 3.5 sonnet model card and technical overview.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Claude 3.5 sonnet model card and technical overview

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.544229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0379f222-28a9-47bb-98ba-3107d0cd4280 · outbound

This paper cites Meta llama 3 70b model card.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Meta llama 3 70b model card

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.547330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca8dca07-f225-4ccc-99bc-cbef2f2e2325 · outbound

This paper cites Meta llama 3 8b model card.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Meta llama 3 8b model card

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.540217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 101cc2ee-3a20-415c-bbfb-8221b0552205 · outbound

This paper cites Loghub: A large collection of system log datasets for ai-driven log analytics.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Loghub: A large collection of system log datasets for ai-driven log analytics

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.532843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3fc0d28-675a-479f-9580-e621515382a9 · outbound

This paper cites A tutorial on kernel density estimation and recent advances.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems A tutorial on kernel density estimation and recent advances

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.520761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0845b0b6-f88d-4057-bda0-280b3db0ecff · outbound

This paper cites Hierarchical grouping to optimize an objective function.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Hierarchical grouping to optimize an objective function

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.523706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49eeb68a-8978-47ac-a171-b1a868b33d11 · outbound

This paper cites Binary codes capable of correcting deletions, insertions and reversals.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Binary codes capable of correcting deletions, insertions and reversals

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.526688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad93ff37-9913-43d7-8404-bae3fefb92d0 · outbound

This paper cites Word error rate estimation for speech recognition: e-wer.

Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems Word error rate estimation for speech recognition: e-wer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:32:56.530088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 05e47cfa-e70e-40a2-9ac3-4fc31f3e5b84 · inbound

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments cites this paper.

A Scalable Pattern Mining Workflow for Interpretable Machine Log Analysis in High-Performance Computing Environments Instruction-Tuned LLMs for Parsing and Mining Unstructured Logs on Leadership HPC Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:21:16.401262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.