Paper Citation Record · LEDGER

Lillama: Large Language Models Compression via Low-Rank Feature Distillation

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2412.16719.

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

pith.paper-citation-record.v1
2412.16719 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:26:24.252992Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:28.021295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.352564Z

Reference resolution

47 of 47 outbound references displayed

verified exact2
verified fuzzy0
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b53e45d-ac5f-4757-b2b9-8e4a3bae0ff2 · outbound

This paper cites IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.044838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37da83b9-e8e6-4cc8-8e3c-ac4fd0e7de79 · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.050638Z

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Observation 4e3ab15d-261c-4214-ba29-c6b95abd4e0b · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.055963Z

Source-reported events for the cited work

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Observation ef25bc43-cce1-4cdc-8a9f-66061ac8d43c · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.060943Z

Source-reported events for the cited work

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Observation 8484a671-19ad-490a-ade8-d17ba33096a1 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.065833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9ca3c4-ff7b-4102-b790-847b83f0dd24 · outbound

This paper cites DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.070933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b40f2482-4bda-4b6a-8c41-483e4c4bc37f · outbound

This paper cites An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:26:24.774810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0fa9e57-3d4d-4dd0-8d3a-d87d288ea43f · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:26:24.934330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d28cced4-5b82-49bc-9cdf-2cbb89484079 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.084702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffa6d21-c664-4df8-b6c5-a488bf8ee690 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.089671Z

Source-reported events for the cited work

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Observation afccfa1f-6121-4291-95c3-6cf628420ae5 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.094426Z

Source-reported events for the cited work

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Observation 3bfd18b1-a982-4c03-8cf9-2d6629c0ef05 · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.098338Z

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Observation 984b819f-adab-436d-b44f-e8ab16c88783 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.101781Z

Source-reported events for the cited work

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Observation ebd7716e-12b8-4022-9342-45a7933d0712 · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.105803Z

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Observation 45b99976-9fc8-49fd-9cec-cf42ffb136c1 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.110293Z

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Unavailable: canonical work link unavailable.

Observation e40804ab-be81-41de-b6be-9fa89f766d00 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.114066Z

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Unavailable: canonical work link unavailable.

Observation dcdccc0e-cf08-4e9c-9b00-7e839719f82a · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Learning both Weights and Connections for Efficient Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.118146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416f6502-d868-4849-ae2f-073fb096c449 · outbound

This paper cites Mistral 7B.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Mistral 7B

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.122005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df1a709-64e7-485d-abef-b7ae98866347 · outbound

This paper cites Mixtral of Experts.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Mixtral of Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.126073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 060bb882-f14d-4fa5-a5ee-2478dd185746 · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation TinyBERT: Distilling BERT for Natural Language Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.130171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 574eacbe-1308-4096-9422-2e87f85bb009 · outbound

This paper cites Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.134537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bee165-44dc-40cd-879d-477d565c9810 · outbound

This paper cites LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.138836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5706c22-007b-4858-9a7e-b88b9ce6cc75 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.143204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac0bc13-1d7d-4e18-a9b5-3d343cf07a66 · outbound

This paper cites Measuring the Intrinsic Dimension of Objective Landscapes.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Measuring the Intrinsic Dimension of Objective Landscapes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.147178Z

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Unavailable: canonical work link unavailable.

Observation 52ebe917-8c81-4805-9a52-1983cd2e381b · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:26:24.903969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e18e9bf0-fdd1-4e36-8a55-0f9b58e01f68 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.155360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea868a50-58ce-4fff-8c14-b5b99ff10258 · outbound

This paper cites Training-Free Activation Sparsity in Large Language Models.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Training-Free Activation Sparsity in Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.161217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a163055-0678-4c2a-acef-4dfba9e49238 · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.165131Z

Source-reported events for the cited work

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Observation e60199ea-8d5f-4fc7-8fe5-06043e3c6b3d · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.169507Z

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Unavailable: canonical work link unavailable.

Observation 125e4697-6d9e-4f9a-84c4-ed81fb0a71d5 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.173463Z

Source-reported events for the cited work

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Observation 607218d8-2ac0-4ba6-974a-13e5c4a6c976 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.177356Z

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Observation 3efcd23e-6ae3-4cd4-a8fd-f862d512573a · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.181796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f3be31-1468-4de6-ac7a-da54d05cd4dd · outbound

This paper cites Layer-wise Analysis of a Self-supervised Speech Representation Model.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Layer-wise Analysis of a Self-supervised Speech Representation Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.185821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3405c8-dac3-44d8-af36-82f47c4dd7b6 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Robust Speech Recognition via Large-Scale Weak Supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.189520Z

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Observation 8ce199a4-ae31-4bdc-998a-bb6ec0723051 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.194043Z

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Unavailable: canonical work link unavailable.

Observation cdff7f64-d0ba-475d-843e-f7267e22eab3 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:26:24.881589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17c49f9d-60ad-4a57-a3a9-44e8b362796e · outbound

This paper cites Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.202456Z

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Observation e44a0d85-3cd9-499f-ba50-cc6b26cc568e · outbound

This paper cites LLM Pruning and Distillation in Practice: The Minitron Approach.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation LLM Pruning and Distillation in Practice: The Minitron Approach

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.208421Z

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Observation 2ae3332f-6561-486f-889a-e5f49b7435a6 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation A Simple and Effective Pruning Approach for Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.213170Z

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Observation a923e43f-ee3f-473b-b451-d782c2ff3c05 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Gemma 2: Improving Open Language Models at a Practical Size

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.217699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdcb9637-4613-47f9-add7-4cfb9dcc701b · outbound

This paper cites MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.222418Z

Source-reported events for the cited work

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Observation 66cdd86f-2f85-484e-9126-03f40dc90838 · outbound

This paper cites InkubaLM: A small language model for low-resource African languages.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation InkubaLM: A small language model for low-resource African languages

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.226902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2670fd2a-839b-49f8-bc3b-17b2ddfd953d · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.231776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f73af4-5882-4c5f-b263-cd5e122e54da · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.240316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81033927-47ad-4c6a-adcc-d1a17ec17103 · outbound

This paper cites an unresolved cited work.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation Unresolved cited work

Reference 46

Resolution: verified exact; doi, observed 2026-08-11T10:26:24.293894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 57678626-2cce-4469-b900-f313dad02e82 · outbound

This paper cites online" 'onlinestring :=.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation online" 'onlinestring :=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.248530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5905243-ebae-48ad-9b25-ae0c25fc962c · outbound

This paper cites write newline.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation write newline

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.252992Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 99e1a964-ed56-4143-9af6-4b60f69254f0 · inbound

CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression cites this paper.

CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression Lillama: Large Language Models Compression via Low-Rank Feature Distillation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T17:52:28.021295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1236c6d1-d384-4426-860f-473f0c2d39ee · inbound

Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction cites this paper.

Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction Lillama: Large Language Models Compression via Low-Rank Feature Distillation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.353831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.