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Paper Citation Record · LEDGER

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 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 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.570969Z

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:7cc79cc3d4b18f508d3450fcb19a5328538b545163edf3debe95c42981272f7f

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

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.

source=pdf_text observed=2026-05-23T04:41:50.959730Z digest=sha256:3f8890640f463dd23a0de3b5cb4b1946ede5c62c424de1512cd6fbe1c2b69ec2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:40:59.570969Z digest=sha256:841db78efa81cf886a31c88426fcf5dd4b2f314e029bf34512b63fb04b56d308

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T13:58:28.333444Z digest=sha256:a7f9fa0bdd9831aa95e6441c13a9d6a0f5cb478bb362786620adbf01d111e565

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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no resolver link, observed 2026-08-07T11:56:32.562984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:32.562984Z digest=sha256:f14489bda8a89d88ee77ab00650069bd451de06233bb37ec31988589360f96a1

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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no resolver link, observed 2026-08-07T10:26:56.179958Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:56.179958Z digest=sha256:b1d262efe6c194314b353cb3ead16c644800e20fd8808fe5924ff7d1cd1538b4

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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no resolver link, observed 2026-08-07T00:21:47.602052Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:21:47.602052Z digest=sha256:20b84519e58e05a6995617f0c5aeb153a0e1d49ec6607f94696a55357094c074

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:48:59.962917Z digest=sha256:5436078ad310f18380553258168fd3be12a4395b250bf184ee61e161826d04ed

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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no resolver link, observed 2026-08-06T17:08:25.667888Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:25.667888Z digest=sha256:1aa7b530a6be362cbd7e0cf2d6aff8e3e6000e31ade510ff2b072a12b6396bdc

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:cf77b0893dd7f2bbeaa74f1c63b8a50fbd849f95225c3f4592145e9d9bc48f9f

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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no resolver link, observed 2026-08-06T14:04:42.701899Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:42.701899Z digest=sha256:052074faa3cc79566c1ffc2a66dde377893729648902de9c01a0089895cf54b6

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:40:54.651510Z digest=sha256:6b0820e116ebcb675667ad63fd0802d10ccc7e7fb7a424076fdc9078bc29c265

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:14:04.065209Z digest=sha256:a83ccf743f98ac21986a29912b3a244588309f205a1a7e8da420e89ba5965221

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=sha256:7ac91d20eb2aa3dc38688dc93a741f592192513730f2978833c08207dfbfef6b

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:e564304cd2f58e65f42610b5769544fc110f167f1baff479e31dad6138dfb910

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:19:50.911062Z digest=sha256:92c6a9df2414c2acd5b07c264a8a298da456ea13ac3e19b292ef4fdfc20088b5

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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no resolver link, observed 2026-08-03T04:45:35.878008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:45:35.878008Z digest=sha256:97908513274608aee01f7f0e07ce400a2ef191d0d25becc8cb9a869b9f10f354

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:24:04.939097Z digest=sha256:6949ef4efb5b7e885d2ef074716697ad4171e11e8567bdcd7dd327e5c90a8159

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:39:03.041265Z digest=sha256:76f9e9430c60205c69c3441045c37701a9558b2a65c1089b20819782c0d9ca42

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

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.

source=pdf_text observed=2026-05-10T00:09:29.861387Z digest=sha256:085c4d694bd8c9b408eb723f2a84ff36055b01f4036f01abda3f786824c1d41b

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

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.

source=pdf_text observed=2026-05-07T16:47:25.410529Z digest=sha256:65176fbca80e0b0c7a2e06d65de2fdf8eab144751a1dd5b8f57e17bff07d61db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:fb196f958c4ba330290c1add3eea30e495f0c1434ea237c16ee5685ff273f829

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T05:03:12.736238Z digest=sha256:bcb1390845612cd6f17a29c13ac2de37c2690e553c2e3471bd9de0dd8045f719

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T19:23:08.100056Z digest=sha256:57234c5b615898b750abef1a46f2125e3b0b68fc1d8511f165cb665846e25fbf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T17:53:38.503877Z digest=sha256:6d509924296b1951e50a01e475c72813eac344fb45d71fa5bab7667e6a0a1fb0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:0be6f33990f7f4b1e249839012d4feb0889dda1c769e32f02515e5d0a14a9d78

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T05:42:50.604486Z digest=sha256:7fb55b66bce5afa03623192c85413304a5908f4cd968de4c8d70a86abad494b7

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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no resolver link, observed 2026-08-05T04:16:08.248866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:16:08.248866Z digest=sha256:1dd38935f540ab4fc3b9a2a0dacbd30cff00334b883a1b92d4c990bf35d1df16