Paper Citation Record · LEDGER

MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.11538.

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

pith.paper-citation-record.v1
2410.11538 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:43:50.142059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:28:33.645585Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 3a05aa18-6816-45f8-8782-e0b5b926e5f1 · inbound

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data cites this paper.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T10:43:50.142059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d46ae1ab-cb00-4207-a7b0-8c1e042d3a44 · inbound

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method cites this paper.

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T10:43:42.123424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c9bd5e6-11c6-4e0a-90d5-40a0f9108d47 · inbound

Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction cites this paper.

Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:03:12.238814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d27d9c9-3578-49a2-88b9-e7602264a4c1 · inbound

Adaptive Slicing-Assisted Hyper Inference for Enhanced Small Object Detection in High-Resolution Imagery cites this paper.

Adaptive Slicing-Assisted Hyper Inference for Enhanced Small Object Detection in High-Resolution Imagery MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:04.301303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3829dfc2-2eb5-4ca6-a1a3-dfbccf6c722c · inbound

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection cites this paper.

Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:29:21.631357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d840fe6c-ae78-42f5-8a9c-d89488796a00 · inbound

Lightweight Real-Time Rendering Parameter Optimization via XGBoost-Driven Lookup Tables cites this paper.

Lightweight Real-Time Rendering Parameter Optimization via XGBoost-Driven Lookup Tables MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:21:14.812841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05c77c2b-0bf6-46e5-ba9b-414ebdc4dc51 · inbound

Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation cites this paper.

Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:22:01.726577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 391041c3-9a40-41a3-8880-f100762e7a07 · inbound

Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion cites this paper.

Gait Recognition via Deep Residual Networks and Multi-Branch Feature Fusion MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:27.651515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ee307b3-ec0a-4007-95e0-7fb541cb6b7a · inbound

Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion cites this paper.

Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:08.673763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 939a662e-604a-46ef-97cd-3189fb71c052 · inbound

Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting cites this paper.

Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:33:14.558907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b588e928-cf20-4ee1-ad36-5d237ed7630a · inbound

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning cites this paper.

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:04:21.377195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93af767c-0e46-4184-be2b-d7588e43923f · inbound

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators cites this paper.

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:33.647533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.