Paper Citation Record · LEDGER

FlatQuant: Flatness Matters for LLM Quantization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2410.09426.

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

pith.paper-citation-record.v1
2410.09426 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:32:56.673897Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T14:47:14.595381Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cf63bef9-ed5c-4a67-ae3b-e16590eff196 · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management FlatQuant: Flatness Matters for LLM Quantization

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T00:38:47.280143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f6cc41-98bc-4567-8db8-f5aa81e0f34e · inbound

MBQ: Modality-Balanced Quantization for Large Vision-Language Models cites this paper.

MBQ: Modality-Balanced Quantization for Large Vision-Language Models FlatQuant: Flatness Matters for LLM Quantization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T00:21:52.282753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5a1c4f-ed55-40c2-817e-440bfcb4107f · inbound

Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design cites this paper.

Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design FlatQuant: Flatness Matters for LLM Quantization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:18:31.651215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05e635b-5436-40eb-9de6-dfb5d3d91b5f · inbound

Turning LLM Activations Quantization-Friendly cites this paper.

Turning LLM Activations Quantization-Friendly FlatQuant: Flatness Matters for LLM Quantization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.673897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252b32eb-f7f4-4bcd-809a-0b2ae9fc5dcc · inbound

FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.

FPTQuant: Function-Preserving Transforms for LLM Quantization FlatQuant: Flatness Matters for LLM Quantization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:47.377076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4a16a2-bb2b-4aef-91ef-144e620cb39f · inbound

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs cites this paper.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs FlatQuant: Flatness Matters for LLM Quantization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:33.692846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2cf9096-26ba-445d-8fd4-16888dbb8644 · inbound

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook cites this paper.

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook FlatQuant: Flatness Matters for LLM Quantization

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T14:07:20.495009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f7019349-af58-4c26-82d7-f4579f20ef7b · inbound

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models cites this paper.

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models FlatQuant: Flatness Matters for LLM Quantization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:25.044991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d5bc78-5d95-421a-980a-e0fa4f1b8566 · inbound

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation cites this paper.

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation FlatQuant: Flatness Matters for LLM Quantization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:30.655337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd3cce7-639b-436b-b6df-46d6abd5dcd6 · inbound

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration cites this paper.

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration FlatQuant: Flatness Matters for LLM Quantization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T11:15:34.021581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1319fedc-277e-4ec4-ba9b-b618e122e71e · inbound

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models cites this paper.

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models FlatQuant: Flatness Matters for LLM Quantization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:47:08.903863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae612764-88b0-4a26-b26a-7d60345fe6c7 · inbound

ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs cites this paper.

ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs FlatQuant: Flatness Matters for LLM Quantization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T11:10:52.712469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a36bdb3-0c4d-42c5-9689-ceae74b09a9a · inbound

Pushing the Limits of Block Rotations in Post-Training Quantization cites this paper.

Pushing the Limits of Block Rotations in Post-Training Quantization FlatQuant: Flatness Matters for LLM Quantization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:45:56.364409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f00097-e4a3-4008-a6d5-c9aede9f43db · inbound

Harmonia: Algorithm-Hardware Co-Design for Memory- and Compute-Efficient BFP-based LLM Inference cites this paper.

Harmonia: Algorithm-Hardware Co-Design for Memory- and Compute-Efficient BFP-based LLM Inference FlatQuant: Flatness Matters for LLM Quantization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:37:25.306491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 981620d0-e0a4-43c7-8720-32014b5ae3c4 · inbound

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models cites this paper.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models FlatQuant: Flatness Matters for LLM Quantization

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.322115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7763bef-6454-406c-a39d-9a306fc8d6fa · inbound

RUQuant: Towards Refining Uniform Quantization for Large Language Models cites this paper.

RUQuant: Towards Refining Uniform Quantization for Large Language Models FlatQuant: Flatness Matters for LLM Quantization

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:38:02.560937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dcfc9ff8-9d64-4e82-9ef8-749821b52979 · inbound

Efficient Matrix Implementation for Rotary Position Embedding cites this paper.

Efficient Matrix Implementation for Rotary Position Embedding FlatQuant: Flatness Matters for LLM Quantization

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:45:49.908197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0465a61-5f4c-4f65-acf2-80a765675ba0 · inbound

OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension cites this paper.

OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension FlatQuant: Flatness Matters for LLM Quantization

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:05:59.532704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4816c971-df3b-45a9-b0d8-5af2f7d239fd · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling FlatQuant: Flatness Matters for LLM Quantization

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:41:02.523683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44500a70-ac63-4fce-ac0c-e5997af0ff5f · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling FlatQuant: Flatness Matters for LLM Quantization

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.221346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b767354-3d73-497b-8c75-e9eaf5ebfc76 · inbound

QuantClaw: Precision Where It Matters for OpenClaw cites this paper.

QuantClaw: Precision Where It Matters for OpenClaw FlatQuant: Flatness Matters for LLM Quantization

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:31:07.492180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c406260-4f0a-4e6d-a86b-715e6a18e9a0 · inbound

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training cites this paper.

TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training FlatQuant: Flatness Matters for LLM Quantization

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:06:20.857342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 509dd602-ecf0-4c42-9bb7-1ebd9f016c37 · inbound

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets cites this paper.

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets FlatQuant: Flatness Matters for LLM Quantization

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:28:16.830861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07f6ca75-8adb-461f-8115-1407c96cc5e2 · inbound

Theory-optimal Quantization Based on Flatness cites this paper.

Theory-optimal Quantization Based on Flatness FlatQuant: Flatness Matters for LLM Quantization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:09.966350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 464745cb-6247-4472-931f-b022e77edc75 · inbound

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference cites this paper.

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference FlatQuant: Flatness Matters for LLM Quantization

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:43:23.767504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 922a2180-cd71-4ba7-a745-bfda9b91541c · 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 FlatQuant: Flatness Matters for LLM Quantization

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T05:23:03.645477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6059e17-cf3c-45de-bee1-2470236a5b27 · inbound

InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization cites this paper.

InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization FlatQuant: Flatness Matters for LLM Quantization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:02.081936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c447f2e-5f9b-43a5-bf3e-b11dbf452433 · inbound

HoloQ-VLA: Uniform W4A4 Quantization of Vision-Language-Action Models cites this paper.

HoloQ-VLA: Uniform W4A4 Quantization of Vision-Language-Action Models FlatQuant: Flatness Matters for LLM Quantization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:53:26.925078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01ce34e9-3f9d-40e5-83a8-6824d8a7311e · inbound

MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations cites this paper.

MixFP4: Enhancing NVFP4 with Adaptive FP4/INT4 Block Representations FlatQuant: Flatness Matters for LLM Quantization

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:22:37.194777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 281bc437-b119-420b-a0c2-c260d1492997 · inbound

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not cites this paper.

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not FlatQuant: Flatness Matters for LLM Quantization

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:16:00.093879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de93df8b-96bc-4ebe-a4fa-0c1cdd2cd91f · inbound

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference cites this paper.

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference FlatQuant: Flatness Matters for LLM Quantization

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:15.971711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90567447-2a14-48f3-b8c1-fc02e45bd621 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection FlatQuant: Flatness Matters for LLM Quantization

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:26.975824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d69724b8-b8fc-4f5c-afa9-14c835495fe9 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection FlatQuant: Flatness Matters for LLM Quantization

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:24:38.285781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4439ba7-7369-45ef-99d1-1f41ec2b1ca1 · inbound

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models cites this paper.

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models FlatQuant: Flatness Matters for LLM Quantization

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:06:55.560481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 452af151-a6dd-4d1e-9d41-a8134163b404 · inbound

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models cites this paper.

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models FlatQuant: Flatness Matters for LLM Quantization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T12:23:13.709784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f841d1-bf95-4a61-abce-ceaa57481538 · inbound

DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics cites this paper.

DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics FlatQuant: Flatness Matters for LLM Quantization

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:57:47.858609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87bfadae-b6c8-4e4a-bf82-93b4ea473d42 · inbound

HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction cites this paper.

HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction FlatQuant: Flatness Matters for LLM Quantization

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:59:38.324310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation feed6185-49ba-4e16-8cf6-4a52347fc662 · inbound

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

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers FlatQuant: Flatness Matters for LLM Quantization

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.420372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2a1a963-30f2-49ff-a49d-f7efc7cd2cd0 · inbound

KronQ: LLM Quantization via Kronecker-Factored Hessian cites this paper.

KronQ: LLM Quantization via Kronecker-Factored Hessian FlatQuant: Flatness Matters for LLM Quantization

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T14:47:14.596545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23215029-05bd-423c-91ff-e93776deef77 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation FlatQuant: Flatness Matters for LLM Quantization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T03:32:53.097749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c9e76c-96a8-4dc8-862b-52a9df8e1451 · inbound

KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers cites this paper.

KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers FlatQuant: Flatness Matters for LLM Quantization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T07:32:25.311733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ce794d-c345-4e23-878c-d5ed1a6d45c0 · inbound

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference cites this paper.

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference FlatQuant: Flatness Matters for LLM Quantization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T03:16:46.910245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d8ec9b-5d47-497b-8d34-32a4eedc50d2 · inbound

LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference cites this paper.

LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference FlatQuant: Flatness Matters for LLM Quantization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:01:44.151542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1728799-5ba9-4fb7-937e-88df2418a78c · inbound

Hidden Language Consistency Phenomena in Reasoning LLMs cites this paper.

Hidden Language Consistency Phenomena in Reasoning LLMs FlatQuant: Flatness Matters for LLM Quantization

Reference 248

Resolution: unresolved; no resolver link, observed 2026-08-14T04:40:10.285584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc904aee-37cb-4221-ab88-8c1eb790edd5 · inbound

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs cites this paper.

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs FlatQuant: Flatness Matters for LLM Quantization

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-14T04:38:43.928718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d368b82d-868b-453d-8ba0-de167cbda201 · inbound

UnionSparse: An Index-Efficient Sparsity Framework for Low-Bit Sparse LLM Inference on Edge cites this paper.

UnionSparse: An Index-Efficient Sparsity Framework for Low-Bit Sparse LLM Inference on Edge FlatQuant: Flatness Matters for LLM Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:11:13.960472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b7a28b2-59b1-4ad8-a9c2-401784380ae3 · inbound

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation cites this paper.

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation FlatQuant: Flatness Matters for LLM Quantization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T12:54:26.604734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.