Paper Citation Record · LEDGER

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2102.05426.

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

pith.paper-citation-record.v1
2102.05426 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:35:51.194647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:48.283550Z

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 d354f3b6-2a1c-4611-a40c-52b9369f91ab · inbound

Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization cites this paper.

Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:28:31.054696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8db444d2-3f1d-4c77-9d0c-9ae0fcd1c059 · inbound

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization cites this paper.

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:52:23.007133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1f91de5-878d-4dc4-a2a6-3254ca2a06f1 · inbound

Sampling-Aware Quantization for Diffusion Models cites this paper.

Sampling-Aware Quantization for Diffusion Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:01:45.946117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6e9b16ae-7143-41a1-b2ff-5c86d508780f · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:33:20.040882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 522788fd-9d76-4643-869f-6e96fb46dcae · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T16:44:16.072398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bcc31625-b128-45a2-a1ce-76ca0039c600 · inbound

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

CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:52:28.363014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cade12a6-e144-4aff-a94f-a3e2aac0a295 · inbound

Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models cites this paper.

Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:35:51.194647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa884ff3-6110-46de-aef7-523b5b6728cf · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 102

Resolution: unresolved; no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb51e79d-77ae-407e-8945-019c675ae394 · inbound

DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action Models cites this paper.

DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:05.134822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 06c7ba79-4e00-4a9b-9f5e-f57023038f9e · inbound

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

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.054696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d870a1da-1342-44aa-9e19-d5442e01b147 · inbound

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

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.213607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7e2039ad-a905-4b1b-b803-8002a9fbb299 · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:32:52.601101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dd0ad3be-ceeb-4a86-a411-62f6e4553a0f · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:05.000091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3d329483-8fa1-4291-bc4b-3a5da58f2278 · inbound

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization cites this paper.

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.877996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e20ce82d-176d-4448-a75c-bfbc450c57fd · inbound

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model cites this paper.

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:32:47.902873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 68e74446-d310-4f17-9afa-bbc5b7b82c72 · inbound

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models cites this paper.

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:17.837706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ed23cfc9-80c5-4b50-b812-3cf219f8499c · inbound

MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization cites this paper.

MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:58:17.793673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d97022c4-78a9-4d58-89fd-ba1cabd19ba0 · inbound

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

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.891208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 176c5801-4cd8-4f78-ac0d-d8969b41d59f · inbound

Motion-Compensated Weight Compression cites this paper.

Motion-Compensated Weight Compression BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:04:40.361485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fa22a312-cc25-4dd3-94c6-31a0363524ae · inbound

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization cites this paper.

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.720401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5b0b81a5-3bb9-469c-abb2-8bef094b84bd · 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 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.469038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a84e7e32-f0df-402a-897d-2202efbe5e17 · inbound

Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers cites this paper.

Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:16:44.940418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 16c2ec07-07b3-4b22-b6e1-654cbf7723c4 · inbound

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models cites this paper.

STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:43.685222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fa549113-a934-4a54-a2dc-7a140a635d0b · 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 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:48.285245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0c15cf56-3e34-4926-9c87-5a6d479e6562 · inbound

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models cites this paper.

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:42.201937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a43a0fa-8aae-48a5-b866-4580a2667c78 · inbound

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers cites this paper.

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T02:57:27.774736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.