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Paper Citation Record · LEDGER

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.29637.

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

pith.paper-citation-record.v1
2607.29637 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:05:15.273347Z

measured 40 of 40 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b39f6440-da18-4e90-b5fb-5634d922bb04 · outbound

This paper cites CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding

Reference 1

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source=pdf_text observed=2026-08-03T03:05:14.533134Z digest=sha256:51df7cbc05374c53afec53660bff07d0d6e144286d247710eded1e64ef133189

Observation 0adaf043-849c-4845-a665-cb869d86ccfc · outbound

This paper cites Longcodebench: Evaluating coding llms at 1m context windows,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Longcodebench: Evaluating coding llms at 1m context windows,

Reference 2

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source=pdf_text observed=2026-08-03T03:05:14.599501Z digest=sha256:824de8c62efcfce732d8af3dc56d973aa1bca5125a79fbf4b686d048f6bd57ce

Observation c9435618-9838-44b1-a6bd-049ab67f2c9f · outbound

This paper cites Gptclonebench: A comprehensive benchmark of semantic clones and cross-language clones using gpt-3 model and semanticclonebench,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Gptclonebench: A comprehensive benchmark of semantic clones and cross-language clones using gpt-3 model and semanticclonebench,

Reference 3

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source=pdf_text observed=2026-08-03T03:05:14.695422Z digest=sha256:0afd3b0423c8f74e5a6246face52ccf455fe553d1db08957d54c36e13d1b1c48

Observation ccd73bfc-e865-4896-8283-ecf8bb82b2c7 · outbound

This paper cites Longcoder: A long- range pre-trained language model for code completion,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Longcoder: A long- range pre-trained language model for code completion,

Reference 4

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source=pdf_text observed=2026-08-03T03:05:14.790813Z digest=sha256:047c60a29bc639834a3819b80b126d295ac1e12b1870e3a26fc1f15776e6a632

Observation 3897d13d-3741-47e1-91d6-f7cc7695e324 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 5

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source=pdf_text observed=2026-08-03T03:05:14.797509Z digest=sha256:b8a96d2d0e176618364f1f32b75b658a954fd03d2a0c3f25b144009ffe64a7d8

Observation d29e2412-f420-497d-b5ec-e9374ab699b1 · outbound

This paper cites Repogenix: Dual context-aided repository-level code completion with language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Repogenix: Dual context-aided repository-level code completion with language models,

Reference 6

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source=pdf_text observed=2026-08-03T03:05:15.066816Z digest=sha256:2db6b5236a7bdd09f6d074ad333f3365ef0bd05568e6c6f225aea066c6fbea09

Observation 4833491c-982d-4746-9cbc-0fb7f0b0d35c · outbound

This paper cites A 3a3-codgen: A repository-level code generation framework for code reuse with local-aware, global-aware, and third-party-library- aware,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding A 3a3-codgen: A repository-level code generation framework for code reuse with local-aware, global-aware, and third-party-library- aware,

Reference 7

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source=pdf_text observed=2026-08-03T03:05:15.075724Z digest=sha256:1cb9b916cfd657e52ac537dfbe245115e306856031fd3388b2515d49057b569b

Observation d9481eca-c300-4df2-9e36-8188b216b8dc · outbound

This paper cites VisualRepair: Dynamic Tool Calling and Region Focusing for Visual Software Issue Repair.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding VisualRepair: Dynamic Tool Calling and Region Focusing for Visual Software Issue Repair

Reference 8

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source=pdf_text observed=2026-08-03T03:05:15.141509Z digest=sha256:9863261da1552e9fe91782bea7d87c893c9999e2c5a50edfe47137e9d2a987b0

Observation 1451fe86-d4e0-4fc5-bdbb-7981c875a341 · outbound

This paper cites Natural is the best: Model-agnostic code simplification for pre-trained large language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Natural is the best: Model-agnostic code simplification for pre-trained large language models,

Reference 9

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source=pdf_text observed=2026-08-03T03:05:15.152053Z digest=sha256:9d49756555afb5acb6e8a06fb2f3820294330b7735bcb60dfde928fb968d930a

Observation 1861d7a7-50cb-4b2d-8bd8-b9e6613ed5cc · outbound

This paper cites Diet code is healthy: simplifying programs for pre-trained models of code,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Diet code is healthy: simplifying programs for pre-trained models of code,

Reference 10

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source=pdf_text observed=2026-08-03T03:05:15.185880Z digest=sha256:b16e2f96c275a27135051cdd378bfbbb6da5ad900d2abf64952aa9ad937187b5

Observation f6afacb9-005c-4d7c-942e-ab3b5ac24c08 · outbound

This paper cites Llmlingua: Com- pressing prompts for accelerated inference of large language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Llmlingua: Com- pressing prompts for accelerated inference of large language models,

Reference 11

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source=pdf_text observed=2026-08-03T03:05:15.189176Z digest=sha256:0d56788e7b3f60ae234997545b5cf6c45ff3da3956c895ece99bb4aa2ea89430

Observation b5a9320a-4db5-4bee-b1aa-1675c5bf5ba6 · outbound

This paper cites Longllmlingua: Accelerating and enhancing llms in long context sce- narios via prompt compression,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Longllmlingua: Accelerating and enhancing llms in long context sce- narios via prompt compression,

Reference 12

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source=pdf_text observed=2026-08-03T03:05:15.192112Z digest=sha256:60f9c1988bc5448a452f791b407d168026a25dbb3061ec87c7f25438fc77b911

Observation a4a19edb-9a02-4c02-9536-eeef2dbd66d8 · outbound

This paper cites Llmlingua-2: Data distillation for efficient and faithful task-agnostic prompt compression,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Llmlingua-2: Data distillation for efficient and faithful task-agnostic prompt compression,

Reference 13

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source=pdf_text observed=2026-08-03T03:05:15.194936Z digest=sha256:ca813eb9fe06561674df95ffceff9ee9147827d0a00b974bf3a600e9b61dccca

Observation df7f7240-7b12-483f-bbd9-a115755f5d58 · outbound

This paper cites DeepSeek-OCR: Contexts Optical Compression.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding DeepSeek-OCR: Contexts Optical Compression

Reference 15

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source=pdf_text observed=2026-08-03T03:05:15.200256Z digest=sha256:c2e9ce37d49d456d0fb69b5e66cac2ea4df32f28b51d19066ac8af8731e0e0a0

Observation f2bf5e77-d154-4b81-a506-81277564af97 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

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source=pdf_text observed=2026-08-03T03:05:15.203222Z digest=sha256:9ffdd2b582dadc5f1e54a59407b53f889a4c41e9fe2ffcf07558008ca9a9ec3a

Observation b2f2500e-7767-45a2-a005-b565e3f96fed · outbound

This paper cites Visionzip: Longer is better but not necessary in vision language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Visionzip: Longer is better but not necessary in vision language models,

Reference 17

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source=pdf_text observed=2026-08-03T03:05:15.206532Z digest=sha256:f0690a109583ca845ac10b72346d96e44e30099d1aac28b3e0063ba08a551a70

Observation a5b6ebb2-2b29-42b1-aa67-3f31a1278b2b · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,

Reference 18

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source=pdf_text observed=2026-08-03T03:05:15.209384Z digest=sha256:c0f63524fdbd3d8c70cdcb94c31800032ea797803914a6c96ffc16ab61864b7d

Observation 0643c3a1-6df4-469f-affc-f27c7da63a74 · outbound

This paper cites Qwen3.5-Omni Technical Report.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Qwen3.5-Omni Technical Report

Reference 19

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source=pdf_text observed=2026-08-03T03:05:15.212064Z digest=sha256:4cea6fab75bb87b2834760fbbc2b9119fa149a6320c1311de4b4a1baca697210

Observation 1dcd1fa7-f960-4897-aadb-68d29d7a4afb · outbound

This paper cites Lora: Low-rank adaptation of large language models.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Lora: Low-rank adaptation of large language models

Reference 20

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source=pdf_text observed=2026-08-03T03:05:15.215403Z digest=sha256:340df2ae9f70822d3284e90b4e316e9cf2c878270ac49ba1ff840738ba9a1df7

Observation 57fb9599-2e51-47d1-81c6-876cc4654207 · outbound

This paper cites Qwen3 Technical Report.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Qwen3 Technical Report

Reference 21

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source=pdf_text observed=2026-08-03T03:05:15.218781Z digest=sha256:c9a5d117d78cbd4a354f23c5ffdae361a6921c42c483180681971f2556644309

Observation 2630c2f2-3f9d-439b-b337-4614f903aa8a · outbound

This paper cites Gpt-5-mini model documentation,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Gpt-5-mini model documentation,

Reference 22

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source=pdf_text observed=2026-08-03T03:05:15.222944Z digest=sha256:3b62a3991fec5999aca3a2c086272df1ed3295b36d602e448cab107883d6c75c

Observation e82c3c1b-71a3-4a8a-8679-abbec0865bf6 · outbound

This paper cites Gemini 3 flash model card,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Gemini 3 flash model card,

Reference 23

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source=pdf_text observed=2026-08-03T03:05:15.226145Z digest=sha256:c387cf63d4e90d6488c842d56c6a0b84759ae78a9cf13a20a704b3f9ec7e94ac

Observation aa5a471f-944c-453f-bdf5-ee2f1a8fe4ec · outbound

This paper cites SlideCoder: Layout- aware RAG-enhanced hierarchical slide generation from design,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding SlideCoder: Layout- aware RAG-enhanced hierarchical slide generation from design,

Reference 24

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source=pdf_text observed=2026-08-03T03:05:15.228734Z digest=sha256:675a63860806e6c8b454052b69f7e834bc01a36cfa13ce5a899027daa7a1c66b

Observation f0215458-174c-4cbc-8f6e-6c7c7ac754a9 · outbound

This paper cites Mmcode: Bench- marking multimodal large language models for code generation with visually rich programming problems,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Mmcode: Bench- marking multimodal large language models for code generation with visually rich programming problems,

Reference 25

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source=pdf_text observed=2026-08-03T03:05:15.231573Z digest=sha256:99396e4b3234bce2add01807c3a2716bc08a27302728f1355604a7066c14b561

Observation 7cc60637-7190-4551-a31a-950500ad92bc · outbound

This paper cites Humaneval-v: Systematic evaluation of visual reasoning in large multimodal models for code generation,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Humaneval-v: Systematic evaluation of visual reasoning in large multimodal models for code generation,

Reference 26

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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=2026-08-03T03:05:15.234201Z digest=sha256:c30f949b0fe5cf87c08061a9b7f580ad339b99d3eb816ed04d1c207e25cf2a56

Observation 622174ea-a30a-41c8-9cef-6a7fd9c7cac2 · outbound

This paper cites Efficientpostergen: Semantic-aware efficient poster generation via token compression and accurate violation detection,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Efficientpostergen: Semantic-aware efficient poster generation via token compression and accurate violation detection,

Reference 27

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source=pdf_text observed=2026-08-03T03:05:15.237118Z digest=sha256:834d0608c41471922e551325b397ffe57139395e505e3cae73232e63a892218c

Observation bcf80207-ceac-4e78-a437-dff3dc538637 · outbound

This paper cites Envisioning future interactive web development: Editing webpage with natural language,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Envisioning future interactive web development: Editing webpage with natural language,

Reference 28

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source=pdf_text observed=2026-08-03T03:05:15.240118Z digest=sha256:82d245cec354cfe6efa02e28775f1cb4ccf9a75e40dd8e630b6bf9fd8ab35674

Observation 2ae6a85a-75df-4557-a4c0-a6b44071b8e4 · outbound

This paper cites Comuicoder: Component-based reusable ui code generation for complex websites via semantic segmentation and element-wise feedback,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Comuicoder: Component-based reusable ui code generation for complex websites via semantic segmentation and element-wise feedback,

Reference 29

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source=pdf_text observed=2026-08-03T03:05:15.242657Z digest=sha256:7bf77d4c594ed24901324b629c6515f0a5dbade15524db814037ad42b34bf788

Observation caea5b15-91e4-4315-9bb9-1815328ddace · outbound

This paper cites UIBenchKit: A unified toolkit for design-to-code model evaluation.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding UIBenchKit: A unified toolkit for design-to-code model evaluation

Reference 30

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source=pdf_text observed=2026-08-03T03:05:15.245829Z digest=sha256:0d1bd52f9bcd5fc77c400863bba9a5367f636e1fd87ed491a7bdd5ed75a810d4

Observation c3e52397-5a6b-49bb-8d74-abd527b33264 · outbound

This paper cites From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements

Reference 31

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source=pdf_text observed=2026-08-03T03:05:15.248609Z digest=sha256:3644a8d2d72d729651f09cff8e908a299891bdd8e7b2e75d1fc8c4973e1a56ea

Observation 6f9e1521-e419-4dde-abb0-126750e095e0 · outbound

This paper cites MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs

Reference 32

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source=pdf_text observed=2026-08-03T03:05:15.251326Z digest=sha256:b3e8599c99616692c9e66abb611f31e4a7aac18002fc32153e58751da49b05ba

Observation 0512611d-a215-4575-a907-db3d976b1bed · outbound

This paper cites Interaction2code: Benchmarking mllm-based interactive webpage code generation from interactive prototyping,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Interaction2code: Benchmarking mllm-based interactive webpage code generation from interactive prototyping,

Reference 33

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source=pdf_text observed=2026-08-03T03:05:15.253857Z digest=sha256:57fb8f076d27b21d03b183fcf36c6d1648e6b3c9d957ea937f558e296760ade0

Observation 77fa1efd-a13d-4e13-b374-9bd1ebb46ca5 · outbound

This paper cites Designrepair: Dual-stream design guideline-aware frontend repair with large language models,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Designrepair: Dual-stream design guideline-aware frontend repair with large language models,

Reference 34

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source=pdf_text observed=2026-08-03T03:05:15.256882Z digest=sha256:70b6b987a866330ea415d9743a53aa329af6de884048f77dd6fc80f922cc587f

Observation de94f7f8-9467-48fd-b5f3-246921939130 · outbound

This paper cites Designbench: A comprehensive benchmark for mllm-based front-end code generation,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Designbench: A comprehensive benchmark for mllm-based front-end code generation,

Reference 35

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source=pdf_text observed=2026-08-03T03:05:15.259931Z digest=sha256:455f36192d45c571c0543c058e18d8831350a0324710243aa5820b5e101a2fb2

Observation 98a11707-ffd1-4cb9-8d30-723fe9af9a43 · outbound

This paper cites Empowering agile-based generative software development through human-ai teamwork,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Empowering agile-based generative software development through human-ai teamwork,

Reference 36

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source=pdf_text observed=2026-08-03T03:05:15.262504Z digest=sha256:8f7f8405fd35d4ad601be3f0b204c081df50dbdb9a483b8b1e341a2b8177d76a

Observation 28d86365-142f-499a-8a4f-135bf7077587 · outbound

This paper cites Token sugar: Making source code sweeter for llms through token-efficient shorthand,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Token sugar: Making source code sweeter for llms through token-efficient shorthand,

Reference 37

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no resolver link, observed 2026-08-03T03:05:15.265273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:05:15.265273Z digest=sha256:1f4ee2d98e2202114250c41fb430ba6d4b17bf1aae8557a737132565d08a0f00

Observation 26f27974-6eac-41d9-bb40-6c6368575d6d · outbound

This paper cites Less is more: Docstring compression in code generation,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Less is more: Docstring compression in code generation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T03:05:15.267816Z

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source=pdf_text observed=2026-08-03T03:05:15.267816Z digest=sha256:1971bca6912d81fd0f7c334546a96f68dfd6bf1aab313843d03cec6748e83acf

Observation 6591ea8e-79cc-428c-9645-fd4fa71afbaf · outbound

This paper cites The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T03:05:15.270261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:05:15.270261Z digest=sha256:55e80498075b8d0c30111e51cf19ae82d4c68962380b6d0b7ae76ac535de8843

Observation d2c12cb8-ef22-4974-8d83-0f5b6a29c0f8 · outbound

This paper cites Effi- cientuicoder: A bidirectional token compression framework for efficient mllm-based ui code generation,.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Effi- cientuicoder: A bidirectional token compression framework for efficient mllm-based ui code generation,

Reference 40

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unresolved
no resolver link, observed 2026-08-03T03:05:15.273347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:05:15.273347Z digest=sha256:47d85f5f972ce89cc57cf49b7a3bd343a7aa0dfa014a1e6a3290f393bfcc475a

Observation 93d50d47-fa32-46ae-923d-fcd5a2f2602a · outbound

This paper cites Available: https://doi.org/10.1145/3597503.3623316.

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding Available: https://doi.org/10.1145/3597503.3623316

Reference 2024

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unresolved
no resolver link, observed 2026-08-03T03:05:14.923158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:05:14.923158Z digest=sha256:db882237c8cec129b0fb7cb0ed53c3cecff0d9720a30b715a5275d2ecdf14ec2

Pith citing papers

No inbound Pith citation observations are available.