Paper Citation Record · LEDGER

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2203.05740.

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

pith.paper-citation-record.v1
2203.05740 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:32:34.858441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:48.290504Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 01dbd76a-5b27-40b5-a481-ed0c621267fc · inbound

Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing cites this paper.

Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T05:32:34.858441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481baac7-9b24-4986-a7a1-9e1e883658e2 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:52:23.058469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03b3f273-7919-4734-be7f-655c8e8fd9ec · inbound

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics cites this paper.

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:28.666178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cb48ca-6b42-4ac9-979e-2ce1dd577268 · inbound

Flexible Mixed Precision Quantization for Learned Image Compression cites this paper.

Flexible Mixed Precision Quantization for Learned Image Compression QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.400598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ce9926-2cf7-4b77-922f-3ce20e3d14af · inbound

Structured Pruning and Quantization for Learned Image Compression cites this paper.

Structured Pruning and Quantization for Learned Image Compression QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:37.954450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb03d6f8-4d42-4610-8f0f-172e92cedf7e · inbound

Post-Training Quantization for Video Matting cites this paper.

Post-Training Quantization for Video Matting QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:43.645464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1688ff2-f41e-42d8-bca7-1aa5554578cc · inbound

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model cites this paper.

PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:35.025715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5795d9c2-4698-4cd4-abac-13eb26129ca2 · inbound

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation cites this paper.

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:57:20.219566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9313f3f-3547-4483-9261-2d551fef9c30 · inbound

Compress Any Segment Anything Model (SAM) cites this paper.

Compress Any Segment Anything Model (SAM) QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.113405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42340851-4780-4a8b-8f4f-4317bc677ecb · inbound

Task-Specific Zero-shot Quantization-Aware Training for Object Detection cites this paper.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:21.552478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d608fdd7-7355-40d9-8e94-cd3bf28f21e2 · inbound

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting cites this paper.

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T12:18:19.977400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc23cf6f-f278-4dc4-89ac-1f56cd512da9 · inbound

When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization cites this paper.

When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.061390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9647a2e2-8e7a-4499-bd62-7f6c08853bf1 · inbound

When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization cites this paper.

When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:57.543897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bceef409-cd65-4933-9119-2c0e151c3633 · inbound

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

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:59:01.892057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd8d07a8-aee8-4afa-87fd-d632407d86b8 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:32:47.896291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 391be1b4-f984-48d2-b99c-d145c673b518 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:58:17.771436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b296fcaa-424e-4950-81bd-7e4cf0dd5164 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.722123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f826c91-87c5-4aa7-bcbc-6da7e0d860a1 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:48.292159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 876428d7-64c8-44d9-85fd-0ac3d57af8f6 · 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 QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-31T02:57:29.293074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.