Paper Citation Record · LEDGER

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2604.13725.

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

pith.paper-citation-record.v1
2604.13725 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:00:56.512868Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:33:45.014979Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact34
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6ce4866-45f2-4917-bfb4-a19bd52065b3 · outbound

This paper cites Recurrent Memory Transformer.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Recurrent Memory Transformer

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:28.783912Z

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.

Observation 7425d6c3-118b-4f54-bb5d-0e57108c327e · outbound

This paper cites Paddleocr-vl: Boosting multilingual document parsing via a 0.9 b ultra-compact vision-language model.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Paddleocr-vl: Boosting multilingual document parsing via a 0.9 b ultra-compact vision-language model

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:28.787962Z

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.

Observation 39f6b462-3afa-411d-99cb-167d81d7c34f · outbound

This paper cites DeepSeek-V3 Technical Report.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation DeepSeek-V3 Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:40:27.575002Z

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.

Observation dd24280d-9bed-4eb5-ae46-5b21a885105f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:45:28.795225Z

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.

Observation f3dd2f86-f628-4c5f-9fba-c659b985c3e1 · outbound

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

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation StarCoder: may the source be with you!

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:33:01.814344Z

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.

Observation de066e35-b522-4da8-86a7-e41682a3edc3 · outbound

This paper cites Large Language Models for Software Engineering: Survey and Open Problems.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Large Language Models for Software Engineering: Survey and Open Problems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.571855Z

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.

Observation 793e03ef-4967-4765-883b-6aa0f101255b · outbound

This paper cites an unresolved cited work.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Unresolved cited work

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:24.408414Z

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.

Observation f3dc4464-7b5c-4f2a-89b7-2157ed04b2c4 · outbound

This paper cites Agentocr: Reimagining agent history via optical self-compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Agentocr: Reimagining agent history via optical self-compression

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:28.767121Z

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.

Observation 1b355d31-327b-4b06-93b4-983f9481a664 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:04:26.711779Z

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.

Observation ae387884-16c3-40f8-ba11-300d5036b604 · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation In-context Autoencoder for Context Compression in a Large Language Model

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.592736Z

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.

Observation f078ab6b-e724-487f-a8ef-04b8e204dec1 · outbound

This paper cites an unresolved cited work.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-19T01:51:59.325980Z

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.

Observation ccdcf615-cf92-421a-83e6-543fb872f78c · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T02:49:43.519601Z

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.

Observation 328d6338-4164-4bc0-ba44-ff35af6fb675 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:46:11.027594Z

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.

Observation 9c0530f1-dba2-47c9-a22c-d569a6b9b89e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:26:38.922527Z

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.

Observation 25d61d0a-1f11-41c7-9b84-dc5106544d17 · outbound

This paper cites Attention mechanisms in neural networks.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Attention mechanisms in neural networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:28.774881Z

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.

Observation 3a3ccf99-7481-42a2-9fc9-06952e1f40f6 · outbound

This paper cites Qwen2.5-Coder Technical Report.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Qwen2.5-Coder Technical Report

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:40:27.565531Z

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.

Observation f698696a-d1b7-4447-b945-3c592ab986b2 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.553422Z

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.

Observation 86499f5e-2b75-4be5-91d7-c86a47724d66 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.540003Z

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.

Observation 9917eb6c-5b97-4fb7-8ab0-5f1906bcf3a4 · outbound

This paper cites A survey on large language models for code generation.ACM Transactions on Software Engineering and Methodology, 35 (2):1–72.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation A survey on large language models for code generation.ACM Transactions on Software Engineering and Methodology, 35 (2):1–72

Reference 19

Resolution: verified exact; doi, observed 2026-05-10T13:05:24.415126Z

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.

Observation d31fbf5b-681e-42ce-97d3-bf0cbc694e2d · outbound

This paper cites an unresolved cited work.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-19T01:51:59.328549Z

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.

Observation 1f476b51-ad06-4d4f-a618-dd44440781f5 · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (Dec 2023).https://doi.org/ 10.18653/v1/2023.emnlp-main.391.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (Dec 2023).https://doi.org/ 10.18653/v1/2023.emnlp-main.391

Reference 21

Resolution: verified exact; doi, observed 2026-05-10T13:05:24.417083Z

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.

Observation 6df78505-d6c7-4f7a-8048-57b6598a35c5 · outbound

This paper cites 500xCompressor: Generalized Prompt Compression for Large Language Models.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.556464Z

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.

Observation 054bdbdd-49d6-45c2-b3ed-58a9a18e4c21 · outbound

This paper cites Context cascade compression: Exploring the upper limits of text compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Context cascade compression: Exploring the upper limits of text compression

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.543057Z

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.

Observation c8785ee0-6c1e-4b65-adca-388e0caec18c · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 24

Resolution: verified exact; doi, observed 2026-05-10T13:05:24.410453Z

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.

Observation ec466f53-1302-4183-927e-9e930e3a05e0 · outbound

This paper cites Learning to Compress Prompts with Gist Tokens.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Learning to Compress Prompts with Gist Tokens

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.559724Z

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.

Observation 0a667f97-9dca-40f9-99f9-6943fa80de23 · outbound

This paper cites GPT-4 Technical Report.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation GPT-4 Technical Report

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:40:27.562409Z

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.

Observation 5e91b903-6dde-45a6-bee9-ce1f4ed19c1e · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:40:27.550032Z

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.

Observation a46e819c-4e55-42ea-9fce-e8b0f01d1784 · outbound

This paper cites an unresolved cited work.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Unresolved cited work

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:24.412907Z

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.

Observation 11873207-6301-4ad9-8d5b-b174ecd0d942 · outbound

This paper cites Qwen2.5 Technical Report.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Qwen2.5 Technical Report

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:40:27.569088Z

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.

Observation 786ffc7b-e0a8-4011-a86f-c0ad6d26e846 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Code Llama: Open Foundation Models for Code

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:08:33.079720Z

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.

Observation 5ccef9ec-85e5-493a-83b0-b5be9457e067 · outbound

This paper cites Source Code Summarization in the Era of Large Language Models.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Source Code Summarization in the Era of Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.910589Z

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.

Observation d84edbe9-4c96-4196-abc1-514cd2e96e01 · outbound

This paper cites Efficient attention mechanisms for large language models: A survey.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Efficient attention mechanisms for large language models: A survey

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.917878Z

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.

Observation 26d268b8-7c1d-45f2-afcd-db8f93c2f6fd · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Gemini: A Family of Highly Capable Multimodal Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:35:26.912978Z

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.

Observation d6c98b8b-853a-416f-bf36-904e1e1beaf7 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Linformer: Self-Attention with Linear Complexity

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:37:42.341031Z

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.

Observation 4f969630-9afb-4a70-90df-0c2004d4e66b · outbound

This paper cites R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.920287Z

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.

Observation 36fb39b5-3700-4ce4-a126-ef19ca1c20d5 · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:23:26.501953Z

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.

Observation aea78115-ec82-4f18-9868-c2c7822c8020 · outbound

This paper cites DeepSeek-OCR: Contexts Optical Compression.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation DeepSeek-OCR: Contexts Optical Compression

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:35:50.904687Z

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.

Observation c7f16f51-aa47-4fd2-8cb2-81a894d78925 · outbound

This paper cites Deepseek-ocr 2: Visual causal flow.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Deepseek-ocr 2: Visual causal flow

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.908082Z

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.

Observation 6932e756-72bc-4756-8416-de50cd951d78 · outbound

This paper cites Bissyandé, Yang Liu, and Haoye Tian.

On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation Bissyandé, Yang Liu, and Haoye Tian

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.897128Z

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.

Pith citing papers

Observation 11f5e253-6a63-4418-b570-5de993b5417c · inbound

CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents cites this paper.

CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents On the Effectiveness of Context Compression for Repository-Level Tasks: An Empirical Investigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:33:45.014979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.