Paper Citation Record · LEDGER

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2501.18596.

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

pith.paper-citation-record.v1
2501.18596 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:56:50.319048Z

measured 13 of 13 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:47:44.384206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:19.484384Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e6046e0-becd-4a41-b86e-29a4a57aeb1b · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.257015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d203508b-a1fb-4f2c-969b-b031f64c2a77 · outbound

This paper cites Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.298675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19060684-de48-4ddb-96ef-e50c9ab3ebe6 · outbound

This paper cites findings-emnlp.372.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights findings-emnlp.372

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.319048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e81f92-e367-4947-aec0-c27ba3c0a529 · outbound

This paper cites findings-acl.57/.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights findings-acl.57/

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:50.521038Z

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 55d35330-1b2c-465c-aa2d-e671d9905076 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.250635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c245d9e-b932-40f9-9557-4c04df26bb99 · outbound

This paper cites A deeper look at depth pruning of LLMs.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights A deeper look at depth pruning of LLMs

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.311812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f99049e-c526-4924-8a86-efcaaa08b3e7 · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Accelerating Sparse Deep Neural Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.292358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a761dc9d-49a4-4154-b48d-3abd2f84c435 · outbound

This paper cites Denton, E.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Denton, E

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:50.553618Z

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 3c9d1ec7-9110-42a0-8c24-f93bcff6aca2 · outbound

This paper cites Leviathan, Y ., Kalman, M., and Matias, Y.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Leviathan, Y ., Kalman, M., and Matias, Y

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:56:50.537264Z

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 b52fe1be-2877-4650-8ac5-4144e9ab2194 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.262893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50eecf7f-09b6-4906-9cba-fa7d13ccf401 · outbound

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

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T22:56:50.285917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28dc1b05-5150-4b80-a3fc-b12301d3b6f9 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-09T22:56:50.269813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0386ac8d-7f68-4b95-b4ec-56186af55206 · inbound

From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression cites this paper.

From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:19.486919Z

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.