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Paper Citation Record · LEDGER

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2403.17695.

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

pith.paper-citation-record.v1
2403.17695 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:29:38.493875Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.167782Z

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Outbound references

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Pith citing papers

Observation 3a833cb2-e326-4133-b254-37529999e618 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 213

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arxiv_id, observed 2026-05-23T22:13:31.001567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:bd80488c929f1d864e6611afa21d0f959011d36eb0868a2633a504c2fe2eb1f6

Observation fee1a252-bde9-46c7-b412-48269e175c7c · inbound

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space cites this paper.

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 37

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arxiv_id, observed 2026-05-23T04:42:33.267638Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:41:50.959730Z digest=sha256:c90063e0d0771e6b54eacc58d963884ac1113ed38edb5adc73bd75d4fcfeb428

Observation 5eaf0ca0-0f68-4f2c-aa32-0dd9a2eb0478 · inbound

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation cites this paper.

A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:29:38.493875Z digest=sha256:5809cb1891d53fbf7f50e6dddd5582e4dc1addf4a630e0074b465c8596764de7

Observation 097394c1-05c2-46b5-b550-ebb2bcf64845 · inbound

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing cites this paper.

Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 64

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no resolver link, observed 2026-08-09T18:28:48.541812Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:28:48.541812Z digest=sha256:94fb3323d559eeb7b65e770f11c8a990f41441f42a24743407ae592b40c71ee0

Observation 3cd8286c-9eff-4435-a197-d8b359240a3c · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 43

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no resolver link, observed 2026-08-08T13:40:59.570969Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:59.570969Z digest=sha256:35594ad8bf0740147b5b5210b5a7fcde5bfb944da67e243743a39d4ec18ce6f6

Observation b776d70d-2cfd-4b00-a951-b2aa677f0085 · inbound

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry cites this paper.

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 25

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arxiv_id, observed 2026-05-22T14:01:38.123871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T13:58:28.333444Z digest=sha256:8c7856bbe81b57c4303eda2b0b996c2eb22c73833db47ef789bb8061ac18b71f

Observation 10af87c6-83ba-4771-85e8-d9c9f471f920 · inbound

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification cites this paper.

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 49

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source=pdf_text observed=2026-08-07T11:56:32.562984Z digest=sha256:10604f988f684f78fc336bd550be091fcc213fcd9bf82c57a5ad5c2f765c6b10

Observation 91b30dbe-0a24-4625-8763-a19f8308f335 · inbound

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling cites this paper.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 15

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source=pdf_text observed=2026-08-07T10:26:56.179958Z digest=sha256:3b5f5385035f40cb2693639c5398286005ef54dbbabf08e05411d393db4832fe

Observation 6f5c8ab4-1eab-46bc-ae09-8c0ba5b32ce0 · inbound

MERba: Multi-Receptive Field MambaVision for Micro-Expression Recognition cites this paper.

MERba: Multi-Receptive Field MambaVision for Micro-Expression Recognition PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:21:47.602052Z digest=sha256:a5edca3efc91e09ba9c7ab96f92b069b43dde53824241f5342c068fed41aea35

Observation 6976a614-6ec5-4cf9-be61-c51c9fbf3f2a · inbound

MambaHash: Visual State Space Deep Hashing Model for Large-Scale Image Retrieval cites this paper.

MambaHash: Visual State Space Deep Hashing Model for Large-Scale Image Retrieval PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 53

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source=pdf_text observed=2026-08-06T23:48:59.962917Z digest=sha256:63b5f6010cff3c7daaabebe24f405cde132ea7d3e3246de9592edb6e7af914a3

Observation e4db9849-06d7-41a0-b7e1-346f2de2dce3 · inbound

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation cites this paper.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:25.667888Z digest=sha256:d77c08951e3c99d56f71587d2c4863c66c49a180053c1e73fd2f091ed6e73152

Observation 742b91f6-5ca7-45a6-ba27-ac2be0641615 · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 51

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:16:49.470143Z digest=sha256:9ef0ee2966517a326e5b3db09afcbac93559a452cbb2ddf3d20282cf05688bff

Observation 7b649b87-b5de-4107-ba89-a3f0347413d6 · inbound

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning cites this paper.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 73

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source=pdf_text observed=2026-08-06T14:04:42.701899Z digest=sha256:275ed8666ae37b9325f6162dba20f3482506ff51689debd94162878236bbb2b9

Observation f267a846-eb82-4aac-969a-796176a6a8d1 · inbound

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks cites this paper.

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 41

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source=pdf_text observed=2026-08-06T11:40:54.651510Z digest=sha256:c821e956161677b3ee7d0fd7fd64614937d46f4873922e2773ca6c2e8ee4fd68

Observation c11ac899-d6f9-48b7-b270-a50e4901900b · inbound

UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken cites this paper.

UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 51

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no resolver link, observed 2026-08-06T10:14:04.065209Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:14:04.065209Z digest=sha256:70833efcb1b2951c4806f12813985e3b725247fd855b6bc9e5dd6c20f4d7cf29

Observation 4db0ef1c-561b-4f80-ba89-c8c56e667b14 · inbound

Animate-X++: Universal Character Image Animation with Dynamic Backgrounds cites this paper.

Animate-X++: Universal Character Image Animation with Dynamic Backgrounds PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 68

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:10.101533Z digest=sha256:abda7b280d659efa3bf4b2ba790945dbd98ff018e40194448ee057b81282f8bc

Observation 277c4e8a-72b0-4200-b228-da2329e3794c · inbound

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation cites this paper.

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 47

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no resolver link, observed 2026-08-05T05:58:39.177250Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:58:39.177250Z digest=sha256:f758098b3ed3f3828a8b5e1b29a5922b48815e0a721931c8fff09b7d5f262228

Observation 2f5f1f8f-5b8f-437b-a8be-40f1b6461eb2 · inbound

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering cites this paper.

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 73

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no resolver link, observed 2026-08-04T11:19:50.911062Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:19:50.911062Z digest=sha256:99804a7a4aaf889b50f1c56b4bcf7eae66ab51f9af2e19a7bf3042d39ea83877

Observation a99e1740-7b9b-4c16-8a03-ca0d29293032 · inbound

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models cites this paper.

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:45:35.878008Z digest=sha256:f0e30ccb74477d9e67b58966c6497bf8ce4ee19b5af17bfa290cca25a8e33b4c

Observation 5da3c5e2-641f-48cc-9df1-b6cae694925c · inbound

Beyond Mamba: Enhancing State-space Models with Deformable Dilated Convolutions for Multi-scale Traffic Object Detection cites this paper.

Beyond Mamba: Enhancing State-space Models with Deformable Dilated Convolutions for Multi-scale Traffic Object Detection PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 9

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arxiv_id, observed 2026-05-11T00:41:05.345449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:24:04.939097Z digest=sha256:39dcdcdb7877f749661cd29673661a4bc233e4c924b3a9baf7028f57c266c504

Observation ea64f242-01d5-4a15-b6ab-504efd034037 · inbound

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet cites this paper.

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 72

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arxiv_id, observed 2026-05-10T11:40:18.937561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:06ec5d0e9079bdd080ff9b457e743f85c0b83c9f1848624cddfbadb3cd84b059

Observation 33ec569b-f085-4702-ae3a-da6c5b6221e1 · inbound

Beyond ZOH: Advanced Discretization Strategies for Vision Mamba cites this paper.

Beyond ZOH: Advanced Discretization Strategies for Vision Mamba PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 28

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arxiv_id, observed 2026-05-10T00:14:46.948612Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T00:09:29.861387Z digest=sha256:7823c9ef4869966243013ce12ea4c1c589b9a8df6f264085db536caacbaa642f

Observation cf3e5557-645f-483c-bfa1-9fafb5e5ee3c · inbound

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media cites this paper.

TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 12

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arxiv_id, observed 2026-05-11T23:31:17.081479Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d3a7cd9a-472d-45ef-b8ef-9bbbb330a626 · inbound

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 80

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arxiv_id, observed 2026-07-01T14:25:47.237061Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:9c43f6ae29d4cdabe0c306297c43328f85320fdb7a4b3f4da6e4e1e4ca8b78c5

Observation 31639f4e-06f5-4530-8ac6-e3b938a9f286 · inbound

SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation cites this paper.

SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 10

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arxiv_id, observed 2026-05-22T10:01:23.374559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T10:00:25.280500Z digest=sha256:4ab55aca5dc04005864ddb96b691cdac8c29ae305a0ca1b1ed93f005296ca508

Observation 5f5749b7-e935-424b-ac50-6acb5ef63291 · inbound

Deformba: Vision State Space Model with Adaptive State Fusion cites this paper.

Deformba: Vision State Space Model with Adaptive State Fusion PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 9

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arxiv_id, observed 2026-05-21T05:03:57.763734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T05:03:12.736238Z digest=sha256:5beb64207707cd2c604cb526ea476d7503a51d28f803d10ce70f0ecc992c7097

Observation 3548c9a8-4a88-48aa-8272-43797c5f2c59 · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 31

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arxiv_id, observed 2026-06-28T19:32:35.268642Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T19:23:08.100056Z digest=sha256:0e384c4b88695455b1814511dacdb5bfd1ccc245467b015d05d77654bc6c49f0

Observation 61cbd775-ab35-47ac-989f-c0d158ca551e · inbound

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models cites this paper.

Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 59

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arxiv_id, observed 2026-07-04T03:39:29.490038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T17:53:38.503877Z digest=sha256:a14b24481f05df6167ed7498b147bed798fe3c5c66014f48f3787d3866a50796

Observation 068778a6-cf0b-4545-8d56-7dcabd657ed9 · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 87

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arxiv_id, observed 2026-07-04T09:49:44.585041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:cac6f6d81f8c3dbca98352e5958eafa976d1e0037ca5a83af1a7648f573d3e60

Observation a5ea3281-486b-4d05-a066-44a116bc46a4 · inbound

Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection cites this paper.

Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 70

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arxiv_id, observed 2026-07-04T12:59:52.169201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:42:50.604486Z digest=sha256:facca8834ec45cdfaeee8a6f8cb1f23a8e501c67708ae68b4f2b4b4e546d6b04

Observation a83af4da-42b7-4b44-927e-c1e164ebae6d · inbound

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs cites this paper.

ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMs PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 52

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:16:08.248866Z digest=sha256:be63294f06e7f0e1421a9c080d04d3f7142063a7fd2f93c02c45a2cd1b5ab409