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Paper Citation Record · LEDGER

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2303.17568.

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

pith.paper-citation-record.v1
2303.17568 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 2026-08-09T06:31:02.800959+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:27:43.019170Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

49
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f93e0f14-89a0-488a-8a34-eedab97a0b98 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 94

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metadata mismatch
arxiv_id, observed 2026-05-10T22:46:39.775840Z

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.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:fd862f07ec500f5322001c9e0c0b3e7d966a0b12bcfdcf84f7cf60b7b9002e3d

Observation d065e01f-19e0-4044-a0f1-5b1be68a83b1 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-14T02:04:18.031433Z

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.

source=pdf_text observed=2026-05-14T02:04:17.888553Z digest=sha256:567fa6c0740e0146d228730974de5ef51fb516bf23607326db4591209d9e2469

Observation 04507529-70ca-4c4e-a0c4-85a9db43ce7e · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 117

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.007048Z

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.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:5c995389ac7c01235d3f9bafb4b9c83b92f83edef44309b8360ebd6cddd9d1c2

Observation b7dae65b-d8e4-4575-9b24-3a8b85f8e533 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 125

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metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.695905Z

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.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:003721de3206b7c8512f9d077ee26204f84d7fb141f14b7f75d0c9b0a71101cd

Observation 615dda3d-5b72-47ec-a7b5-da367c2a3282 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:58:46.067468Z

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.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:d6d824c12ba50953f32966af8a3153c72efca651f40b796714efc60251df9902

Observation f78f4180-8c86-4dfb-8204-a3ef2c0453f2 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 24

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verified exact
arxiv_id, observed 2026-05-24T03:58:51.203859Z

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.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:742ff327d7a7d1dbabd18b9b55ce494bbcfe18693fb4a573ea4f58f8e3fb496e

Observation 73d93d06-a648-47b3-8478-e5e2a518181f · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.075136Z

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.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:7c727024fe9db53b90ac4518faaff259c0e44d0869a57a00c8cd153de4cc310e

Observation b3384844-8f67-486d-ad56-efb27ab5d3d7 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 205

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.372449Z

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.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8d6070e17f543438ac1f572f348b90f4793f7cf9d0aed975327adf31cefabd8d

Observation 5c36900a-5727-4e5f-b213-81ae0a213f92 · inbound

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? cites this paper.

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-23T07:35:28.773804Z

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.

source=pdf_text observed=2026-05-23T07:35:19.736921Z digest=sha256:40491a5d9185aa6b0f8601af25c7f0996419730bc3b85f2eb98b2d93a0875a55

Observation f3495dad-e55f-4a5a-b92e-80427ca3dbff · inbound

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet cites this paper.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 18

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unresolved
no resolver link, observed 2026-08-09T21:27:43.019170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.019170Z digest=sha256:b295a280aee1430a5e4660766bdecbbe88e602636658990f725f3cbbd24553f9

Observation 38625d8a-dcc7-4d2c-859c-263623ed0152 · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-09T11:01:28.155586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:01:28.155586Z digest=sha256:61651d4ba1881fa0e30e1639d9631b400cdb629d19b236524a0f41368aec9e47

Observation fe73dc69-b27d-457e-81bf-cf12991d8a48 · inbound

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories cites this paper.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T16:46:04.068653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:46:04.068653Z digest=sha256:43a8ca854c883ca2ae3dc546094dce292a92e92e06b62a780534c053bcc1e98f

Observation 08341d7e-91df-4077-ad4b-c9c497713f2b · inbound

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks cites this paper.

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-08T16:26:32.521100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:26:32.521100Z digest=sha256:ba80d7f641026fab600966672854dfcee05645cc22ec88ca91bc01c5ab57e246

Observation de4166ed-0beb-4156-9ba5-c139bf7ebaa0 · inbound

Multi-Agent Collaboration for Multilingual Code Instruction Tuning cites this paper.

Multi-Agent Collaboration for Multilingual Code Instruction Tuning CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T12:37:25.829003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:37:25.829003Z digest=sha256:44f631684f5f962de75ae7af768295c2b42f689e68649909f04d7d94ce9939f6

Observation b6cbc026-d020-4b52-a469-632090044c98 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-08T04:58:35.261560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:35.261560Z digest=sha256:4b01edc3b2a4358b1a5342c02fc6cc0170ea9f1896895eaeebd132fe89895cc3

Observation 68622de2-5562-46cb-9fe5-d4aa21a2da9c · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:16.485186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:16.485186Z digest=sha256:41eb054bc8457141d111eadd776386bb71c15bbafdeeb9ee72752ee55eb98759

Observation 19be7a68-208f-49fa-9f69-19f6108d4d59 · inbound

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs cites this paper.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:19.249678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.249678Z digest=sha256:4d1e90d3166c7f6ab634a84000a638d2ae0a20d939a15413fa0ad1b995150865

Observation 5173f544-2ac3-44fa-9e15-a7a266c88689 · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.418661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.418661Z digest=sha256:6d02098c0f1cd171770f88eba86333f7ca74961ac38890f9891cc9c61d246733

Observation 6abd49ee-0133-4fa2-b114-69199cf0e504 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:16.138639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:51:16.138639Z digest=sha256:241e4ac6abd9fb25d6c4d35096bca0dee03fdac52cc1d2b925f58457ffa52017

Observation a9ef152c-9914-4a89-a86e-a22ec9ff58da · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:40.074446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:40.074446Z digest=sha256:f03f69719ba28cfd32bff77ee5d964536101e02d8b1b5f5f1103e11ba9380c9f

Observation 1bfffdb6-8dca-431d-b1e4-4cc7a15ee911 · inbound

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization cites this paper.

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 48

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unresolved
no resolver link, observed 2026-08-06T15:10:25.838845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:25.838845Z digest=sha256:4b0bf18e6525a64780ec6a74605bc193207642162a70ac411c0561b3da4b39e8

Observation 24f2632e-afde-4644-8b01-1bd1ab66a51b · inbound

Enhancing Project-Specific Code Completion by Inferring Internal API Information cites this paper.

Enhancing Project-Specific Code Completion by Inferring Internal API Information CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T13:16:49.123952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:16:49.123952Z digest=sha256:b5efdc4deea20a6119b565b95ed3dd0af07b45a5c8280745671f49590f8e65cf

Observation 509c10e8-28c6-4bcf-8dbc-b00e2bb83aec · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.148774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.148774Z digest=sha256:12e4cea71c46c8873c2ea1da0d332ef58a9d04ecab99080154120297cb678a78

Observation c3088ef7-f2f7-4f9a-a72f-2dd125a90124 · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:36:08.539242Z

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.

source=arxiv_source observed=2026-05-09T19:34:51.433422Z digest=sha256:4b0d5f9d635e1318b77c9b2d359eaf74aeba65e870f07ef0c5a20e755810e782

Observation c3e50391-24c3-434d-bf5e-0fa6249124ff · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

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verified exact
arxiv_id, observed 2026-05-12T07:37:01.729818Z

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.

source=pdf_text observed=2026-05-12T02:27:11.573347Z digest=sha256:63797076f965318ac73dbc04a50049f390df728e3f7d85232e3b2cf989d873a2

Observation 1a43b0bd-2abc-460e-a5f7-7e7be53f3465 · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.785333Z

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.

source=pdf_text observed=2026-06-30T22:55:49.377456Z digest=sha256:59de210abe31e5e94986b1ce57eafe193d3288609277cfc3329b705617815573

Observation 9f8ab754-945b-4299-af38-4f214b18e129 · inbound

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback cites this paper.

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T09:23:10.559050Z

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.

source=pdf_text observed=2026-05-20T09:22:06.285118Z digest=sha256:c4f964c7b1cd86c6f55782ea2202dd09e1279150ef8da780fd6fc7e32ccb24b6

Observation dd28e6fe-3195-44a6-a0d4-5b6059b0031b · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 290

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metadata mismatch
arxiv_id, observed 2026-06-29T16:23:39.165685Z

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.

source=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:7e36f6aef3e2995d2fe5639190365897683b0f905a95de95e5aed65ec4f642be

Observation e6d8f4ec-e61b-45d0-880c-d29dd31b0e25 · inbound

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations cites this paper.

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:48:05.314788Z

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.

source=pdf_text observed=2026-06-27T09:19:50.169338Z digest=sha256:a091488acd720872313afcf4f5da5892fffcb167be85a6a35558d8460af0c043

Observation c5a6d16a-2a7e-4276-80d0-d623a0b0646c · inbound

Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.

Surveying GenAI-based Automation in Printed Circuit Board Design and Test CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T08:20:45.317790Z

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.

source=pdf_text observed=2026-06-27T08:13:14.791508Z digest=sha256:11d3c3fb5923787282d8ce2a7984168941fde72a1d0bbc6ea4f5ff6ae0babdfc

Observation e12ff7b2-d8b4-43aa-8b98-e3b5955610eb · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.877578Z

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.

source=arxiv_source observed=2026-06-29T04:59:00.304723Z digest=sha256:7dccb1b10aaa808a118fd7a0e9c0ad035c1925c3d0ad87eb1a20909463e13770