Paper Citation Record · LEDGER

SqueezeLLM: Dense-and-Sparse Quantization

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2306.07629.

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

pith.paper-citation-record.v1
2306.07629 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:41:52.877669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:18:37.340082Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fe5067cf-dab7-4166-aa91-a11026099e93 · inbound

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

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:49:33.850130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 652a7ae9-34ed-4e07-bc1c-d8e964f9b301 · inbound

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

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads SqueezeLLM: Dense-and-Sparse Quantization

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T10:36:18.341205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37c8d920-1703-41cf-9a2c-069a3b3898ab · inbound

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache cites this paper.

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache SqueezeLLM: Dense-and-Sparse Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:53:12.337562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c46ab81-0c82-4bf6-82d4-4f4f738c1f12 · inbound

RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.

RouterBench: A Benchmark for Multi-LLM Routing System SqueezeLLM: Dense-and-Sparse Quantization

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:47:31.094875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc0a389b-ad0f-4564-b0d7-fec01552fe30 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:39:33.214075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2b6fba9-5454-4565-b948-54fe9cad1fec · inbound

SpinQuant: LLM quantization with learned rotations cites this paper.

SpinQuant: LLM quantization with learned rotations SqueezeLLM: Dense-and-Sparse Quantization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:52:34.700791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a609dd30-4a14-47d9-b2e7-a04c77294da5 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices SqueezeLLM: Dense-and-Sparse Quantization

Reference 174

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T01:05:16.310998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e28853ba-9226-4caf-bf9b-35df3a4991a8 · inbound

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate cites this paper.

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate SqueezeLLM: Dense-and-Sparse Quantization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:09:22.277661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 929dcb5e-aab5-4020-aca7-84de10b3c0bc · inbound

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices cites this paper.

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices SqueezeLLM: Dense-and-Sparse Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T16:34:59.261977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c4f7916-3238-492b-bb86-7a95c6562580 · inbound

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs cites this paper.

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs SqueezeLLM: Dense-and-Sparse Quantization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:53:04.144810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5345532e-07ac-4710-acc3-c0145d49c1b6 · inbound

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference cites this paper.

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference SqueezeLLM: Dense-and-Sparse Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:41:52.877669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0985625e-76f9-437f-ad97-54c08b11d733 · inbound

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation cites this paper.

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation SqueezeLLM: Dense-and-Sparse Quantization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T06:38:22.663076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd74cafc-1369-4735-b1e1-8dc004cf81fc · inbound

CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization cites this paper.

CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization SqueezeLLM: Dense-and-Sparse Quantization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:52:28.393534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f1281b2-6e40-4ab6-8b75-236e1bbd952f · inbound

On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks cites this paper.

On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks SqueezeLLM: Dense-and-Sparse Quantization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:24:47.003271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4de3b8e2-c80f-463d-a5d6-a86773e97d0d · inbound

Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels cites this paper.

Coverage-Based Calibration for Post-Training Quantization via Weighted Set Cover over Outlier Channels SqueezeLLM: Dense-and-Sparse Quantization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:16.200257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e07df099-eae8-4bee-9a7e-d68669a9ec3a · inbound

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment cites this paper.

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment SqueezeLLM: Dense-and-Sparse Quantization

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:46:42.443324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f50f0c4-d94e-433f-ab19-6021234e0e44 · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning SqueezeLLM: Dense-and-Sparse Quantization

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:42.160072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 39e3d22d-1c77-4575-9115-5a4f1c462bc9 · inbound

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning cites this paper.

DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning SqueezeLLM: Dense-and-Sparse Quantization

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:50:51.165324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99e832e7-3ec7-4588-b1ac-415de378cc29 · inbound

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization cites this paper.

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization SqueezeLLM: Dense-and-Sparse Quantization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.029916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d0da963-e2f9-4554-b344-1f115737f3f5 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning SqueezeLLM: Dense-and-Sparse Quantization

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:01:10.321373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee2ac829-f9e2-4fd6-ad98-c96f3e2bc34f · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization SqueezeLLM: Dense-and-Sparse Quantization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.142303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2740b635-abd5-496a-a944-9bdd0dd5b5ea · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization SqueezeLLM: Dense-and-Sparse Quantization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.210120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d16da3e7-de78-4192-8548-66862fc2ff1b · inbound

XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference cites this paper.

XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference SqueezeLLM: Dense-and-Sparse Quantization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.690279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7ec28d36-0207-4a96-98b0-9217129dccff · inbound

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models cites this paper.

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T05:23:03.625863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bd3ab0c-6349-4222-a3c0-7f1dfd3eba6d · inbound

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs cites this paper.

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs SqueezeLLM: Dense-and-Sparse Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.872360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf0cc52c-1c31-4da3-9a8e-9cba87bf348f · inbound

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models cites this paper.

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:04:58.491515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f262736-e8cc-4a2d-ada2-88c261a3f7b2 · inbound

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation SqueezeLLM: Dense-and-Sparse Quantization

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:02:34.617720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d4b4ba6f-6db8-4589-807f-f054a40c3feb · inbound

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation cites this paper.

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation SqueezeLLM: Dense-and-Sparse Quantization

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.475000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb5672a2-5a67-43de-ac03-95457cefd64a · inbound

Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models cites this paper.

Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:16:48.293704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cc0d0cdb-359f-4fbf-a642-c00e4281e965 · inbound

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs SqueezeLLM: Dense-and-Sparse Quantization

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:25:48.408417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1bac6c64-6ee8-4ee4-a0bd-310a5e10279c · inbound

GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache cites this paper.

GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache SqueezeLLM: Dense-and-Sparse Quantization

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:57:06.403971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 807090fd-1b0e-484d-b714-c291eb299548 · inbound

SAB-LVLM: Significance-Aware Binarization for Large Vision-Language Models cites this paper.

SAB-LVLM: Significance-Aware Binarization for Large Vision-Language Models SqueezeLLM: Dense-and-Sparse Quantization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:18:37.341488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0e56bdc7-8bc2-4799-9fed-944eb3b39dbb · inbound

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers cites this paper.

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers SqueezeLLM: Dense-and-Sparse Quantization

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.417750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91ab3514-5ab9-417b-bd6b-a58cc4aea220 · inbound

StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration cites this paper.

StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration SqueezeLLM: Dense-and-Sparse Quantization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T01:10:03.032181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b40a43-1701-4822-b146-c3fd2fdc511c · inbound

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference cites this paper.

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference SqueezeLLM: Dense-and-Sparse Quantization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:12:27.941291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32228b5-c235-4152-960b-a3ebecdb9bf7 · inbound

Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications cites this paper.

Edge Intelligence in Civil Aviation: Paradigms, Techniques, and Applications SqueezeLLM: Dense-and-Sparse Quantization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T12:04:14.348367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.