Pith. sign in

Paper Citation Record · LEDGER

DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2410.12628.

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

pith.paper-citation-record.v1
2410.12628 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:56:55.883850Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9018851f-08b9-4ffd-ac40-e4d3fc27a634 · inbound

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy cites this paper.

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T23:47:10.297668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:47:10.297668Z digest=sha256:97f1a08f274ab0d671c94fbb9de5d690fb2d33e3684e6a72f4deaff819f56eee

Observation d20dc53e-4321-4582-a5e1-d8da1c3ee802 · inbound

PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation cites this paper.

PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:42.228813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:52:42.228813Z digest=sha256:7fef86d83cc1cc11e8a9a820459e9a575d0dd1862a6ddc297ca76239ff31cd7d

Observation a9f27ae7-1e54-4a5d-b08c-2c58d367a646 · inbound

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration cites this paper.

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:56:55.883850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:56:55.883850Z digest=sha256:00a493559bdd9f55c17ce521e20c6b263411d1d361f7e06f8bb27e39f7493aba

Observation 06a571e9-6a5d-4c42-959c-bd9de5792dbd · inbound

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral cites this paper.

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:04.311650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:04.311650Z digest=sha256:6217e1fa0b0f0fd01536ca3cd64060f34119c99d18046c5d0060bcce2dd2384f

Observation 0ac08ef5-7094-46b6-b801-9555813dbcb1 · inbound

P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark cites this paper.

P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:25.515481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:25.515481Z digest=sha256:902e7f2aa03df69ae7d090c2f2f7262f5eb35cf7a42f6cd8ceb8f69decb5faea

Observation 5cfa7778-3709-40c8-b441-641ecac46690 · inbound

Efficient Medical VIE via Reinforcement Learning cites this paper.

Efficient Medical VIE via Reinforcement Learning DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.924940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.924940Z digest=sha256:4d37f0a1b75f14ff852e8ed985d4d839ae0817d41bd1b100d4aab7f5ed72c84d

Observation ef01e336-adda-4510-91a5-7a3d276f11cb · inbound

Enhancing Document VQA Models via Retrieval-Augmented Generation cites this paper.

Enhancing Document VQA Models via Retrieval-Augmented Generation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T16:05:56.757356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:05:56.757356Z digest=sha256:06df4d9e5846463264fded2c299b844a0a429b74bb6df264e16a9734f7ae5584

Observation 73c0a0d5-e364-4878-b2ce-4512a608e95c · inbound

PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation cites this paper.

PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:22:50.770874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T20:22:03.697564Z digest=sha256:1e1e2912946ffc000450b913f278152573120ac393b09c0b5df9fee6aa1afe45

Observation efb2afab-9683-483c-9cbd-f9f0f0a6359b · inbound

PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation cites this paper.

PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T14:02:50.795447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:02:50.795447Z digest=sha256:406e2f1ff7d1d5351b1bdc9d50d995bef7abb4e308970e1f0517bc22303c79ea

Observation 2303c084-9131-47f2-a313-d5735f4488aa · inbound

A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation cites this paper.

A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T11:23:44.920457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:23:44.920457Z digest=sha256:20050fb27cae550d9e5603f98c32c2bf28a5793aa3d2b373a24c6b2bbdd99f94

Observation 942e003c-d139-401d-b390-bb6c219ad5df · inbound

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing cites this paper.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T13:25:32.105068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T13:25:31.884175Z digest=sha256:65ecb7ba3b4ab26842d77f6793b234b63cf66b55b094f1869b117a7d86d3e347

Observation 8eea3c0f-5258-4300-ad5b-07682ca6ffc8 · inbound

Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding cites this paper.

Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T15:44:17.234986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:44:17.234986Z digest=sha256:8180df24420325022a4d0fcaff1c6c820061c286168cd7517e22913e7b1e5edf

Observation b69e6e53-dcf7-4251-b27f-86d55b919edd · inbound

Parser-Oriented Structural Refinement for a Stable Layout Interface in Document Parsing cites this paper.

Parser-Oriented Structural Refinement for a Stable Layout Interface in Document Parsing DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:08:17.459477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T21:07:44.073353Z digest=sha256:cfa6804efe907f6b88520ca56ccce1f3ab8da721a26a3755f149ef85553d8fe2

Observation 37613727-f51f-4156-9d15-3164e2e10279 · inbound

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale cites this paper.

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:35:52.442526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:58:41.377996Z digest=sha256:4e794e687a349a499b72887a3cfc2de0d961d4ad82255dfc08399c72e5741641

Observation f9d2fc69-0956-4912-ab0b-b848c4c77acd · inbound

The Character Error Vector: Decomposable errors for page-level OCR evaluation cites this paper.

The Character Error Vector: Decomposable errors for page-level OCR evaluation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T19:10:44.635270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T19:09:26.075739Z digest=sha256:45bdb93d4717b0cd0aa7a5d5faca98c054862a128bb0794936e11204a4d8b9af

Observation 025de191-ab4f-4b9b-8c0e-0a52a9ce85bb · inbound

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization cites this paper.

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:50:58.259684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T16:28:16.315767Z digest=sha256:dd0cd8c4ba51eff7e0806dd416a27d6c2e8ab6ffd69ed204b4c5bcd8116e22ee

Observation b0572f97-0ea7-4dc0-a109-25ef39567507 · inbound

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents cites this paper.

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:41:22.176116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T04:40:34.756842Z digest=sha256:4e040ab15e80c09307698e83032cbaded3a3821a03436334d81ca54c70626f3f

Observation 563552e8-60f1-45dc-a221-82903f086fce · inbound

BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation cites this paper.

BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:56:20.829479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T04:55:47.338621Z digest=sha256:16ac24998f28c1aac8c26bdc16b3bc74b752b4840fe7f124227ad411011ab215

Observation 9b13f308-47e8-4fa2-afd8-143ae93c530b · inbound

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop cites this paper.

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T14:28:21.556693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T14:25:11.234515Z digest=sha256:1765c255a433990c892e2485590740377910423ef567052e7023085eaa6aa727

Observation 3bed3268-a16b-4e0f-8b46-6e33cc8c680b · inbound

LFRAG: Layout-oriented Fine-grained Retrieval-Augmented Generation on Multimodal Document Understanding cites this paper.

LFRAG: Layout-oriented Fine-grained Retrieval-Augmented Generation on Multimodal Document Understanding DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-25T00:30:08.009658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T00:29:14.920477Z digest=sha256:3cf2095fca9e6fac248c87d6c35cf503967a879f63a7e87fcec04f6765c0aa79

Observation 8eecccd5-33d4-45a7-8db0-9eb1fed63b78 · inbound

ABot-OCR Technical Report cites this paper.

ABot-OCR Technical Report DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:33:28.113078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T13:29:17.221676Z digest=sha256:d36cd4545bb20984df0567eaf6c4a4b7d6ac766edeb71f26e9fc8439630d8a63

Observation 8de83b4f-0fe9-4402-b2a6-659b7da24954 · inbound

Benchmarking Open-Source Layout Detection Models for Data Snapshot Extraction from Institutional Documents cites this paper.

Benchmarking Open-Source Layout Detection Models for Data Snapshot Extraction from Institutional Documents DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:46:56.533416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T01:55:07.437218Z digest=sha256:f03efdc3baa90d9f6e5b35157241af4667e1a560ac34d1b23a277a745d83de91

Observation fea51544-56e6-4afb-bc56-f3d3f334195d · inbound

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild cites this paper.

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.203743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T09:19:38.285839Z digest=sha256:7613e4df08314850bf431475e519eec49cfaba818bbaacbaff8ee64a7cb58491

Observation 3f11a8a3-7e39-4089-b663-78b87ffc542b · inbound

Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs cites this paper.

Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:57:03.922310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T14:47:26.322568Z digest=sha256:6d9a9de4820e031a7e51150ea865e3545e163884e3937e5b339f3b09a5d21788

Observation 5a577e62-b49e-4c23-9681-95ec7b0e6a49 · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T17:07:25.767214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T17:02:28.089092Z digest=sha256:645fb20a57392cd32a1952e5dfd94a63d4b26bfc0170c8501bdc1fa1e76e3f42

Observation ad9fa08b-1784-44c7-b3a7-9582a952a4db · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-02T08:03:54.797396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:03:54.797396Z digest=sha256:72e41890011c97fcbb96e7b1e43ffd07067294d9e23f7e6bb22a9bcd31dade2b

Observation 1f0b3c5e-ec01-4807-828f-d4a6022b1f88 · inbound

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction cites this paper.

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T13:53:02.971730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:53:02.971730Z digest=sha256:6bc9637e147890589962d0aaa24c742419698887ab77fdc7d3336cd647dec3a5

Observation 76f1fca5-d39d-40bf-9c35-fe62fe81cd9c · inbound

Thinking with Anchors: Grounded and Efficient Document Reasoning cites this paper.

Thinking with Anchors: Grounded and Efficient Document Reasoning DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:54.487012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:54.487012Z digest=sha256:c3e99c39004777a58c1badded2b8d6cadf16fd6d68101495f453fa2480985f23

Observation 21be752e-a656-41b4-a9a0-f5dcd312670d · inbound

Thinking with Anchors: Grounded and Efficient Document Reasoning cites this paper.

Thinking with Anchors: Grounded and Efficient Document Reasoning DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:54.489763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:54.489763Z digest=sha256:959717a098fa952a3ee2ba37caeb50aee362f1241125f892681526f175a95285

Observation 0893f9db-a34b-4ce0-a630-2c60d31975cd · inbound

PaDoc: Layout-Grounded Parallel Decoding for Document Parsing cites this paper.

PaDoc: Layout-Grounded Parallel Decoding for Document Parsing DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:37.333821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:37.333821Z digest=sha256:d55fe3576b5a51f8f5d1af16e2ab831b3dcb7f9c447104c05243886382bc2ae2