Paper Citation Record · LEDGER

QMamba: Post-Training Quantization for Vision State Space Models

As of 24 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2501.13624.

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

pith.paper-citation-record.v1
2501.13624 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:50:09.775094Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:54:51.781671Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:54:52.049395Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy27
unresolved7
parse uncertain2
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bfd22f3-a586-4444-ab27-ecdd6e799a5b · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

QMamba: Post-Training Quantization for Vision State Space Models PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.678275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b652fb-65d3-4cd7-b3c8-2aa068e08d5d · outbound

This paper cites Low-bit quantization of neural networks for efficient infer- ence.

QMamba: Post-Training Quantization for Vision State Space Models Low-bit quantization of neural networks for efficient infer- ence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.101607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f86a7fe-9b9a-4008-9139-aa722eec3312 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

QMamba: Post-Training Quantization for Vision State Space Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.685039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06753a1f-666e-4e15-9683-4f7f37345061 · outbound

This paper cites Esser, Jeffrey L.

QMamba: Post-Training Quantization for Vision State Space Models Esser, Jeffrey L

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.083042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e58b21b-03f5-4888-91ad-31593da40865 · outbound

This paper cites Differen- tiable soft quantization: Bridging full-precision and low-bit neural networks.

QMamba: Post-Training Quantization for Vision State Space Models Differen- tiable soft quantization: Bridging full-precision and low-bit neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.074625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6de4751-6d0a-45bf-b8bc-64ee91eabbb8 · outbound

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

QMamba: Post-Training Quantization for Vision State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.697363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2217cbe6-f397-4e6e-a71a-654f22d36a47 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

QMamba: Post-Training Quantization for Vision State Space Models Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.066675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 060bbacf-7aa3-47ce-95f8-f3c5845390e9 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

QMamba: Post-Training Quantization for Vision State Space Models On the parameterization and initialization of diagonal state space models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.058265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb800f5e-a138-4304-9112-a7bf8cb35a5f · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

QMamba: Post-Training Quantization for Vision State Space Models Efficiently modeling long sequences with structured state spaces

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.050040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f2e8cf7-3707-452a-9660-7e99b882c1f9 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

QMamba: Post-Training Quantization for Vision State Space Models Mambair: A simple baseline for image restoration with state-space model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.040967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14ff9eb3-9888-483a-9d04-6a682c70de2b · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.

QMamba: Post-Training Quantization for Vision State Space Models Diagonal state spaces are as effective as structured state spaces

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.031164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0ef2879-1bf6-4334-887b-4200c31403f1 · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

QMamba: Post-Training Quantization for Vision State Space Models Demystify Mamba in Vision: A Linear Attention Perspective

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.715961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05d3a1c6-792e-45a2-b631-f9f1c3f8edae · outbound

This paper cites Howard, Hartwig Adam, and Dmitry Kalenichenko.

QMamba: Post-Training Quantization for Vision State Space Models Howard, Hartwig Adam, and Dmitry Kalenichenko

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.021951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57c32b4d-9c0b-4ee7-b598-4581eacfee44 · outbound

This paper cites Kingma and Jimmy Ba.

QMamba: Post-Training Quantization for Vision State Space Models Kingma and Jimmy Ba

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.722225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 393ab862-c3ce-4f10-bc69-35b99fae3ee5 · outbound

This paper cites BRECQ: pushing the limit of post-training quantization by block re- construction.

QMamba: Post-Training Quantization for Vision State Space Models BRECQ: pushing the limit of post-training quantization by block re- construction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:10.005358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b21a4cd8-2681-4ada-a452-cfbb8a0e3030 · outbound

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

QMamba: Post-Training Quantization for Vision State Space Models Repq- vit: Scale reparameterization for post-training quantization of vision transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.996549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 98ffdad7-54c3-43c0-ba18-005bf4f32664 · outbound

This paper cites Fq-vit: Post-training quantization for fully quantized vision transformer.

QMamba: Post-Training Quantization for Vision State Space Models Fq-vit: Post-training quantization for fully quantized vision transformer

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.988019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd51fe8a-a448-4272-b50a-7d004b3da890 · outbound

This paper cites VMamba: Visual State Space Model.

QMamba: Post-Training Quantization for Vision State Space Models VMamba: Visual State Space Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.733798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca2aca0-995c-43c7-847b-5ad390144b7a · outbound

This paper cites Bi-real net: Enhancing the per- formance of 1-bit cnns with improved representational capa- bility and advanced training algorithm.

QMamba: Post-Training Quantization for Vision State Space Models Bi-real net: Enhancing the per- formance of 1-bit cnns with improved representational capa- bility and advanced training algorithm

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.979511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc11ade9-9a04-4bb3-93fa-5dfc7c6c57bc · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts.

QMamba: Post-Training Quantization for Vision State Space Models SGDR: stochastic gradient descent with warm restarts

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.971134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58833f0f-b686-4d18-880a-6b71fbb6e164 · outbound

This paper cites PTQ4SAM: post-training quantization for segment anything.

QMamba: Post-Training Quantization for Vision State Space Models PTQ4SAM: post-training quantization for segment anything

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.962690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b302d99-2c1d-40a1-9a32-a6bd0eece299 · outbound

This paper cites Long range language modeling via gated state spaces.

QMamba: Post-Training Quantization for Vision State Space Models Long range language modeling via gated state spaces

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.954753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a09c6725-3927-4263-94c7-69ec267a8834 · outbound

This paper cites Instance-aware group quantization for vision transformers.

QMamba: Post-Training Quantization for Vision State Space Models Instance-aware group quantization for vision transformers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.938558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe793900-b530-4968-87cc-75ee996f5932 · outbound

This paper cites Up or down? adap- tive rounding for post-training quantization.

QMamba: Post-Training Quantization for Vision State Space Models Up or down? adap- tive rounding for post-training quantization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.930424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2b47fa1-cefd-41b3-bc58-9c31c1e27d03 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

QMamba: Post-Training Quantization for Vision State Space Models Training data-efficient image transformers & distillation through at- tention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.921186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66090cda-a576-4c2c-b9c8-63246e9570c1 · outbound

This paper cites Tri-plane mamba: Efficiently adapting segment anything model for 3d medical images.

QMamba: Post-Training Quantization for Vision State Space Models Tri-plane mamba: Efficiently adapting segment anything model for 3d medical images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.912128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fd520b9f-8dfb-4688-82bf-53d7a98a2ad3 · outbound

This paper cites Selective struc- tured state-spaces for long-form video understanding.

QMamba: Post-Training Quantization for Vision State Space Models Selective struc- tured state-spaces for long-form video understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.902714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d1ee027-1171-4305-93cb-1ff87cd94fc4 · outbound

This paper cites Quantformer: Learning extremely low-precision vision transformers.

QMamba: Post-Training Quantization for Vision State Space Models Quantformer: Learning extremely low-precision vision transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.892682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c291ebf1-1f2a-40b6-8fba-1b000dc628b0 · outbound

This paper cites Qdrop: Randomly dropping quantiza- tion for extremely low-bit post-training quantization.

QMamba: Post-Training Quantization for Vision State Space Models Qdrop: Randomly dropping quantiza- tion for extremely low-bit post-training quantization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.881923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d70db9f-b54c-4dbf-bfdd-a50606a1cd01 · outbound

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

QMamba: Post-Training Quantization for Vision State Space Models Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T15:50:09.764545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fcd1cb8-b3e8-440d-8c8c-32c20bfb23d5 · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

QMamba: Post-Training Quantization for Vision State Space Models Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.871953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95c6f18e-3cff-4758-8724-370d3803dbb2 · outbound

This paper cites Low-bit quantization needs good dis- tribution.

QMamba: Post-Training Quantization for Vision State Space Models Low-bit quantization needs good dis- tribution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.862888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea7951ae-2c80-4c17-9695-97ac8ba426af · outbound

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

QMamba: Post-Training Quantization for Vision State Space Models Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.854646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation de97c466-c607-4268-969a-ad0aed657527 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

QMamba: Post-Training Quantization for Vision State Space Models Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:50:09.844072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 237d073b-9fa1-4193-a943-92996acbdfda · outbound

This paper cites an unresolved cited work.

QMamba: Post-Training Quantization for Vision State Space Models Unresolved cited work

Reference 2021

Resolution: parse uncertain; no resolver link, observed 2026-08-10T15:50:09.688224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a5f1a1-0942-4bb2-9a9c-d1d534e97874 · outbound

This paper cites an unresolved cited work.

QMamba: Post-Training Quantization for Vision State Space Models Unresolved cited work

Reference 2023

Resolution: parse uncertain; raw_fallback, observed 2026-08-10T15:50:09.946888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 3e7adc99-1ee2-4e1a-bfa9-18512458ba7a · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI QMamba: Post-Training Quantization for Vision State Space Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:54:52.072991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.