Paper Citation Record · LEDGER

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.16738.

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

pith.paper-citation-record.v1
2501.16738 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:08:55.344254Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy6
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f954cd1b-44ca-421c-8704-b9bc502c1f5b · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.293053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b834f0-11a9-42e7-a0d3-af29415eed82 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.296129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e768386-00b8-4cd4-ac55-c8742de0c34d · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.298739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff074e1-51c4-45c1-a398-2ab0876a6f0a · outbound

This paper cites Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.492983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea4c122b-7808-4fde-a789-dda26a000e9b · outbound

This paper cites FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.303914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c959f25-90b7-44f6-a6f9-8d2439061b58 · outbound

This paper cites Tsptq-vit: Two- scaled post-training quantization for vision transformer,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Tsptq-vit: Two- scaled post-training quantization for vision transformer,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.485153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8132ea8e-a368-4c99-915d-63dafa5df80c · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.477916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8811ffd-d973-4868-92e0-77d53b173e79 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Awq: Activation-aware weight quantization for on-device llm compression and acceleration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.470265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e8e5cac-84a5-4946-96c2-aa5d2e499ad1 · outbound

This paper cites Repq-vit: Scale reparameterization for post-training quantization of vision transformers,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Repq-vit: Scale reparameterization for post-training quantization of vision transformers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.464157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05ceff5d-ef32-4b7f-935c-2917afd5d745 · outbound

This paper cites MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.314827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d461c9bf-29b8-48cf-8b63-927492f06251 · outbound

This paper cites VMamba: Visual State Space Model.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization VMamba: Visual State Space Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.317084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e6b766a-4ff9-4dd1-85d5-44718214c069 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.319867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9089625-b139-464d-b308-1be759afd21e · outbound

This paper cites Mamba-PTQ: Outlier Channels in Recurrent Large Language Models.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.322993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f17093-1a99-49a4-b651-65583759e28e · outbound

This paper cites Quamba: A Post-Training Quantization Recipe for Selective State Space Models.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Quamba: A Post-Training Quantization Recipe for Selective State Space Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.325477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4823ab22-5111-4b2c-8404-6da4b9d02695 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.328040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df91f3c-0726-4636-aa6e-c10002cb68fe · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Imagenet: A large-scale hierarchical image database,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.330438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0bc884-5e8a-43f9-8ebe-46cce7429a27 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.332699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f48e605-5d05-4809-af33-8fae5d9efcc5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.335090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168389dd-bb53-481e-845f-7513602c36cb · outbound

This paper cites Quantization and training of neural networks for efficient integer- arithmetic-only inference,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Quantization and training of neural networks for efficient integer- arithmetic-only inference,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.337072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0219cca-6c96-48b9-92eb-f34e5cb2d879 · outbound

This paper cites Up or down? adaptive rounding for post- training quantization,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Up or down? adaptive rounding for post- training quantization,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.338828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 227b0365-ef70-4e96-ad96-8f3f96f083f5 · outbound

This paper cites Low- bit quantization of neural networks for efficient inference,.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization Low- bit quantization of neural networks for efficient inference,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:08:55.446101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 008801fa-7cb9-4a47-961e-b0d068e2262d · outbound

This paper cites EasyQuant: Post-training Quantization via Scale Optimization.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization EasyQuant: Post-training Quantization via Scale Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.342397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d908720d-f5d6-415c-a9a2-8945a4edf26b · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

Post-Training Quantization for Vision Mamba with k-Scaled Quantization and Reparameterization EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T11:08:55.344254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.