Paper Citation Record · LEDGER

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.14713.

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

pith.paper-citation-record.v1
2501.14713 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:48.350745Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:28.170298Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:52:28.290404Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy2
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71a7b657-c5c8-4a52-b94c-c8fce5c2cb8b · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.250451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d050b94-7530-448f-85c4-29d3b92b4509 · outbound

This paper cites Head-wise Shareable Attention for Large Language Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Head-wise Shareable Attention for Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.254511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b998c2a9-f8a3-46c5-b9b5-4bf5bdbb2583 · outbound

This paper cites Universal Transformers.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Universal Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.266501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03967287-d11a-4066-9a80-d4262baee57a · outbound

This paper cites LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.270004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096671c5-da39-4457-9027-a9c865b69c54 · outbound

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

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.284156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 381fde8c-c300-43a5-a67b-859ea6a06d4c · outbound

This paper cites The MiniPile Challenge for Data-Efficient Language Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing The MiniPile Challenge for Data-Efficient Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.287589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63f6358-52c3-4134-875a-b3b1b02e4097 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.291038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022155da-5826-47fe-9228-d151cb30d5ff · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.294454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ff9be9-71d9-456f-a40a-8d06e0fb6c8e · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.297273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b52c128-d06d-4c9b-aaed-1b6e3fb89ff4 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.300193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c53e008-1a12-4626-91d5-5a0d4f019fff · outbound

This paper cites Pointer Sentinel Mixture Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Pointer Sentinel Mixture Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.303078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14f7341-46bb-480e-975a-ee48ea735a50 · outbound

This paper cites Large Language Models: A Survey.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Large Language Models: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.306014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bce8de-2d85-4448-ab4b-cd73becccce5 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing A Comprehensive Overview of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.309409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf55e81-76b6-4a48-ac36-3cd3d18a12d4 · outbound

This paper cites EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.313273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bcbf74b-1ddb-47e3-ad53-9f5b398d549c · outbound

This paper cites Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.316556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04cfec8-1c97-4c4a-bb5d-bd871882b7ac · outbound

This paper cites Accelerating Transformer Inference for Translation via Parallel Decoding.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Accelerating Transformer Inference for Translation via Parallel Decoding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.319981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38583a41-8ab5-4c1b-ae1e-2bf9da7864cb · outbound

This paper cites Lessons on Parameter Sharing across Layers in Transformers.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Lessons on Parameter Sharing across Layers in Transformers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.323153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6cb0186-e725-4e98-bdb6-8b6a6d063d1b · outbound

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

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing LLaMA: Open and Efficient Foundation Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.326654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69ce8be-58d2-4e11-bc9a-c3f7eba90d24 · outbound

This paper cites LaCo: Large Language Model Pruning via Layer Collapse.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing LaCo: Large Language Model Pruning via Layer Collapse

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.329840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c418fc-d422-42a0-9d67-ab4c55626e42 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing TinyLlama: An Open-Source Small Language Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.336936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc733c4-c108-4279-958e-4d34f1faaaf5 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing OPT: Open Pre-trained Transformer Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.340361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1921a86-2b40-4166-ac1b-11252f00cfde · outbound

This paper cites For zero-shot performance evaluations, we used the ARC-e, ARC-c (Clark et al., 2018), PIQA (Bisk et al., 2020), WinoGrande (Sakaguchi et al., 2021), and HellaSwag (Zellers et al.,.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing For zero-shot performance evaluations, we used the ARC-e, ARC-c (Clark et al., 2018), PIQA (Bisk et al., 2020), WinoGrande (Sakaguchi et al., 2021), and HellaSwag (Zellers et al.,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:59:48.676276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb18ec19-2fb0-4e74-a975-2ea1477988df · outbound

This paper cites For perplexity perfor- mance evaluations, we used the validation MiniP- ile (Kaddour,.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing For perplexity perfor- mance evaluations, we used the validation MiniP- ile (Kaddour,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:59:48.666836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 697440f5-e2b3-4665-9975-ccd751f4a3d2 · outbound

This paper cites an unresolved cited work.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:59:48.655850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac36b88b-c193-4622-8c60-352c07211b0c · outbound

This paper cites Layer Normalization.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Layer Normalization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.246704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be2bc2e-8043-4b15-a740-b14a3c659549 · outbound

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

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.262369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765a187d-65ab-4d0a-b874-08c7216758a3 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.333160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be7abd8-2ab4-4ee8-af43-a850c2b04bd8 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.273551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836ca620-f868-4a1c-aaaf-dc40be6eb857 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.277091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6909fb1c-f9a8-43b1-9b96-497726c1e759 · outbound

This paper cites Language model compression with weighted low-rank factorization.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Language model compression with weighted low-rank factorization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.280607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6765384a-655a-40d2-b6ec-dd16d198f3b6 · outbound

This paper cites EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.258621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c4bb74e-6d21-456f-86f3-308bbb75b210 · outbound

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

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.242547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9364cb06-1227-4de1-ad60-37f0966a8470 · 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 FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:28.297343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.