Paper Citation Record · LEDGER

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.02818.

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

pith.paper-citation-record.v1
2506.02818 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:44.577644Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

verified exact3
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ee253a3-543f-4a22-8782-cc6ae3a9b247 · outbound

This paper cites TQCompressor: improving tensor decomposition methods in neural networks via permutations.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations TQCompressor: improving tensor decomposition methods in neural networks via permutations

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:20:45.159807Z

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 ccb64201-f760-4376-80d0-fa9cfbd6d4f4 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:47.474572Z

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 66540966-449e-41b2-ae36-e7872854f0b8 · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:41.273580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8020dfa0-c08b-4282-8689-b300b22075e0 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:41.394250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cec8bb6-3424-4d33-a123-043608bedcd7 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:47.319441Z

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 fb78f19f-beb8-4480-9126-ea2a51a0d0f4 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:47.155830Z

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 9ce221e0-41a7-4f86-80a0-1abeb1fc27ea · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:41.684653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a50be1b-8303-41aa-9531-05c7b37acb1b · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:47.033122Z

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 fbeed5a8-002c-4182-94f6-e16f9b29532a · outbound

This paper cites Kronecker Decomposition for GPT Compression.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Kronecker Decomposition for GPT Compression

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:20:45.018226Z

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 6316f252-2685-43ab-a7cf-5bdbaae6b7c5 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:41.923424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba189480-b5e1-4656-8466-ab43db630d1c · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.872552Z

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 0b069764-20ad-4ddd-86c7-6fbef50efde3 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.726873Z

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 b1f12065-a921-4d24-9cdf-db1722e7a61a · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.562931Z

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 076d47b7-d47c-445a-90ed-62c4e31850a2 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.388364Z

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 a6441d57-d696-4e5a-8b34-34510d9a74b6 · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Language model compression with weighted low-rank factorization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:42.319067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9839aa4-34e6-4438-b4b6-6061e228e37d · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.198118Z

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 7f615d19-26a8-4a9f-ab1c-a2ce128186f8 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:46.032563Z

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 18f3713b-9235-4c80-ab25-5aaf710dec53 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:45.857049Z

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 976b242a-f50e-4901-ae49-be2e6c277da8 · outbound

This paper cites MoDeGPT: Modular Decomposition for Large Language Model Compression.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations MoDeGPT: Modular Decomposition for Large Language Model Compression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:42.726644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db47e515-8e39-483c-8ee3-4ca768c4e047 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:45.666072Z

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 81cb9614-a1ab-469a-aaa9-cd4be46f1bdc · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:45.505399Z

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 3d97fb41-a830-40fe-9602-3951030da87e · outbound

This paper cites Pointer Sentinel Mixture Models.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Pointer Sentinel Mixture Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.040771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da6e152-8ad4-4cea-ac32-69c7dc5cf007 · outbound

This paper cites Compressing Large Language Models using Low Rank and Low Precision Decomposition.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.149426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdebc6ff-daea-4619-bede-2f4d2a9db0cb · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.262170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c678e98-0a7b-4598-8b4d-b3e31bf7e06f · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.371280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef59a31-7451-4859-a02a-71bf4f207e68 · outbound

This paper cites The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.477837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3007589-1249-4ed5-8778-84e7a8302faf · outbound

This paper cites SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.592215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdd1af4-bc56-4e5c-af7e-9bc8d885d74f · outbound

This paper cites KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:20:44.810605Z

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 a3ebc434-eea3-47d4-9f51-340991749e91 · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations LLaMA: Open and Efficient Foundation Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.812689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c936bf9-8629-4769-9bad-a0bf75ec2f29 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.959675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8f8407-19d7-4506-be4f-5406a242d9e8 · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:44.070103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83658602-2a10-48c0-9e6c-119af577c460 · outbound

This paper cites TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:44.215235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb45236-326c-49a5-8776-aba08d9c0139 · outbound

This paper cites an unresolved cited work.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:20:45.345375Z

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 b5838fde-dfa9-4986-a017-430ef527993d · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:44.403008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e74dad-2dad-425d-b06a-b9e080ddfe6f · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:44.479099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e21c1fd-391a-4fde-9a5d-c493c455326f · outbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations OPT: Open Pre-trained Transformer Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:44.577644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.