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Paper Citation Record · LEDGER

DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.03291.

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

pith.paper-citation-record.v1
2408.03291 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:31:30.707206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:00.843940Z

Reference resolution

0 of 0 outbound references displayed

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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 7855009e-1a87-4611-85ad-8c52484a4743 · inbound

Activation Quantization of Vision Encoders Needs Prefixing Registers cites this paper.

Activation Quantization of Vision Encoders Needs Prefixing Registers DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T11:31:30.707206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:31:30.707206Z digest=sha256:bf8d453bdeba88393e3c8e425369c483652d77b7e0af0f287d1dc719d4c4a0b1

Observation af056179-2fd3-4ad3-8b8e-110bfee488c9 · 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 DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-29T01:24:21.058523Z

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.

source=pdf_text observed=2026-05-15T20:20:10.435886Z digest=sha256:4b8eaa16924eb31a73dec6258dca3b1907c12bff45a4ec825e8db247809610a6

Observation 85f03042-ff6d-48fa-9dfc-22fca5e08c52 · inbound

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization cites this paper.

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-29T01:24:21.058523Z

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.

source=pdf_text observed=2026-05-10T05:59:23.738476Z digest=sha256:d04fd711c3db45ff2f23d1aa60ff5e4bc26f5ba9b9d1602376b2b6a012e2dee1

Observation ef58d8d2-0574-4feb-b14f-992515dc4f89 · inbound

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay cites this paper.

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-29T01:24:21.058523Z

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.

source=pdf_text observed=2026-05-09T14:24:54.946996Z digest=sha256:4f0e620f42bf2555366205e43014045b236bf0e48dbca5d34925d7389f1b3778

Observation cb9a457f-556e-478c-8d76-df93d18d61b4 · inbound

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

Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-29T01:24:21.058523Z

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.

source=pdf_text observed=2026-05-20T20:55:10.360775Z digest=sha256:373395396b7a54c255facf801dbb87c335e7ed65f6f77ef2dc51e1a92ba19330

Observation e52cee3b-6524-40de-8718-cfff6cecee06 · inbound

QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer cites this paper.

QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-29T01:24:21.058523Z

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.

source=pdf_text observed=2026-06-28T22:54:52.597232Z digest=sha256:4ebb9304e5d367dd15230efc2dc6bbc39122d4bb56e11b8b74902f70d905e73b

Observation 26c03923-3228-4e00-b875-e61d40d8f1da · 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 DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-31T02:57:29.309270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:57:29.309270Z digest=sha256:99cb480849cd9e4551cf3db0c10bba893edca44a4cdccff68e1e23a79d6d6f63