Paper Citation Record · LEDGER

Omega-S: A Functional Resilience Index for LLM Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.03887.

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

pith.paper-citation-record.v1
2608.03887 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:26:24.633581Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact9
verified fuzzy17
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e20f671-c0ff-42dc-95f3-aced3bc87b35 · outbound

This paper cites Network Properties of Local Fungal Communities Reveal the Anthropogenic Disturbance Consequences of Farming Practices in Vineyard Soils.mSystems.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Network Properties of Local Fungal Communities Reveal the Anthropogenic Disturbance Consequences of Farming Practices in Vineyard Soils.mSystems

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T10:26:24.677796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de4c8a3a-87da-4895-8362-3b63d3f98fab · outbound

This paper cites Soil Microbial Diversity and Network Organization Respond to Land Use and Agricultural Inputs Worldwide.Global Change Biology.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Soil Microbial Diversity and Network Organization Respond to Land Use and Agricultural Inputs Worldwide.Global Change Biology

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T10:26:24.666833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation abd78bbe-925e-45e2-800d-5aa0db9bb7ce · outbound

This paper cites Methods and systems for gen- erating and applying agronomic indices from microbiome-derived parameters.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Methods and systems for gen- erating and applying agronomic indices from microbiome-derived parameters

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.320865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 979944e2-6f2b-441f-93db-663a707dedb3 · outbound

This paper cites Methods and systems for evaluating ecological disturbance of an agricultural micro- biome based upon network properties of organism communities.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Methods and systems for evaluating ecological disturbance of an agricultural micro- biome based upon network properties of organism communities

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.311462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c177205-ee86-42b1-aef8-ac1b88694b12 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.ICLR.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Sharpness-Aware Minimization for Efficiently Improving Generalization.ICLR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.302033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3eac8890-8ea5-4259-bc80-cb34e1f4894d · outbound

This paper cites Fiedler Regularization: Learning Neural Networks with Graph Sparsity.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Fiedler Regularization: Learning Neural Networks with Graph Sparsity

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:25.104134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26ac7ee5-f8c6-422e-8b04-67b27bdbc2d0 · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for Lapla- cian smoothing splines.Communications in Statistics — Simulation and Computation.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning A stochastic estimator of the trace of the influence matrix for Lapla- cian smoothing splines.Communications in Statistics — Simulation and Computation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.291217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e521d1b-b9ad-4b70-a22f-3e2d92571d28 · outbound

This paper cites Decoupled Weight Decay Regularization.ICLR.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Decoupled Weight Decay Regularization.ICLR

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.281227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 535deeb4-f981-4557-ab7f-107082e9db5c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.ICLR.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning LoRA: Low-Rank Adaptation of Large Language Models.ICLR

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.271179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5fced87-dfa3-432d-9a4c-905f36636785 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.VLDB.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.VLDB

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.261586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 124cfc5c-e3a0-4960-a096-116e633667ae · outbound

This paper cites Model selection and estimation in regression with grouped variables.Journal of the Royal Statistical Society: Series B.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Model selection and estimation in regression with grouped variables.Journal of the Royal Statistical Society: Series B

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.251891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03970ac4-470f-4988-8bb8-68a85dcc206b · outbound

This paper cites Emergence of scaling in random networks.Science.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Emergence of scaling in random networks.Science

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.242463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e18fce1d-f8bb-4521-8783-9e34a3925849 · outbound

This paper cites Hutch++: Optimal Stochastic Trace Estima- tion.SIAM Symposium on Simplicity in Algorithms.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Hutch++: Optimal Stochastic Trace Estima- tion.SIAM Symposium on Simplicity in Algorithms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.233177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 439dc281-0d6d-4b2f-87ae-a8e357a1c8fc · outbound

This paper cites Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.542193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c565b5b-6193-413d-b0a3-005d90c691f6 · outbound

This paper cites The Llama 3 Herd of Models.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.545750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 889fb4b5-23f3-481c-b09d-6bd65db3cbcf · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Evaluating Large Language Models Trained on Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.548939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a57fc2-1cea-4b49-bfee-1a327db1ab70 · outbound

This paper cites Code Alpaca: an instruction-following LLaMA model for code gener- ation.https://github.com/sahil280114/codealpaca.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Code Alpaca: an instruction-following LLaMA model for code gener- ation.https://github.com/sahil280114/codealpaca

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.223789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41a83ff2-b731-4e95-86ba-4afc6989176f · outbound

This paper cites Pointer sentinel mixture models.Interna- tional Conference on Learning Representations.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Pointer sentinel mixture models.Interna- tional Conference on Learning Representations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.214671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dec3d84-b2dc-4bae-a2f7-a87124a67c0a · outbound

This paper cites LLM.int8(): 8-bit matrix mul- tiplication for transformers at scale.Advances in Neural Information Processing Systems 35:30318–30332.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning LLM.int8(): 8-bit matrix mul- tiplication for transformers at scale.Advances in Neural Information Processing Systems 35:30318–30332

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.205143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d402ad0d-6e6a-4d28-b70d-ed90bdb7f42c · outbound

This paper cites SmoothQuant: accurate and efficient post-training quantization for large language models.International Conference on Machine Learning, PMLR 202:38087–38099.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning SmoothQuant: accurate and efficient post-training quantization for large language models.International Conference on Machine Learning, PMLR 202:38087–38099

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.195170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c1556f1-557e-49b1-8056-6c59053467a8 · outbound

This paper cites an unresolved cited work.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:26:25.185158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fd03ce3-d73d-4723-b0a2-6a6e45c84910 · outbound

This paper cites Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.568723Z

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Unavailable: canonical work link unavailable.

Observation 96dd2c6a-6f84-4ca3-8372-94fa39a77a91 · outbound

This paper cites Spectral Manifold Regularization for Stable and Modular Routing in Deep MoE Architectures.arXiv:2601.03889.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Spectral Manifold Regularization for Stable and Modular Routing in Deep MoE Architectures.arXiv:2601.03889

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-05T10:26:25.052897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36ae451f-f52e-4756-b9a1-ad8a0e9b6ce8 · outbound

This paper cites Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:24.976044Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12eea287-66b1-455c-921f-a05adf11afc8 · outbound

This paper cites Non-Determinism in TensorFlow ResNets.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Non-Determinism in TensorFlow ResNets

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:24.961766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcd4fc33-e2f7-48eb-824b-6f9f56388f1d · outbound

This paper cites Deterministic Implementations for Reproducibility in Deep Reinforcement Learning.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Deterministic Implementations for Reproducibility in Deep Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.582442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b3b9a17-83ab-43b6-ac22-f5e8712d7325 · outbound

This paper cites On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:24.938453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b6ca0dc-c11e-42ed-8a8d-d6daedbfc648 · outbound

This paper cites Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adap- tation.arXiv:2603.02224.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adap- tation.arXiv:2603.02224

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.589134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84f72ec-e6fc-4013-a34c-cefd49d7f9ad · outbound

This paper cites From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:24.862242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd6dcebe-8e0e-451b-b6c2-8de319cdb07b · outbound

This paper cites Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.arXiv:2601.18699.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.arXiv:2601.18699

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.595800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e8db7c-b4f9-426c-b28c-9f2998894fd4 · outbound

This paper cites an unresolved cited work.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:26:25.175488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 805dae23-d667-4e8d-b2fc-55ff2e8b5214 · outbound

This paper cites Learning without forgetting.IEEE TPAMI40(12):2935–2947.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Learning without forgetting.IEEE TPAMI40(12):2935–2947

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.165673Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bc4bb28-f81d-455d-b384-bd7bfc09208c · outbound

This paper cites Orthogonal gradient descent for continual learning.AISTATS, PMLR 108:3762–3773.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Orthogonal gradient descent for continual learning.AISTATS, PMLR 108:3762–3773

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.155622Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d0f2c80-17e0-45a2-8ed2-b7d93a4f18b8 · outbound

This paper cites Orthogonal subspace learning for language model continual learning.Findings of EMNLP 2023, 10658–10671.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Orthogonal subspace learning for language model continual learning.Findings of EMNLP 2023, 10658–10671

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:26:25.145067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f910338-c48d-48e9-b6c5-fcaaeac7bb67 · outbound

This paper cites Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.611370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e831a52d-b75f-496a-8a05-7ff088fdc8d0 · outbound

This paper cites TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.614430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608fe6d0-2316-4a45-a739-9e61fecb7bdb · outbound

This paper cites AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:26:24.710725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f4e7d1b-230f-41ad-93d6-02a12a112190 · outbound

This paper cites Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.621117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd6f8d9-dfc2-4d3a-983f-4a5728b10c99 · outbound

This paper cites DarwinLM: Evolutionary Structured Pruning of Large Language Models.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning DarwinLM: Evolutionary Structured Pruning of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T10:26:24.624287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b58445-028f-458b-a3fc-e18c928addbc · outbound

This paper cites an unresolved cited work.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:26:25.134839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac4ed349-03fa-4ac9-9061-7fba997d349e · outbound

This paper cites an unresolved cited work.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:26:25.124728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9671f36-363b-43bf-907c-c49b1a607387 · outbound

This paper cites an unresolved cited work.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:26:25.114601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.