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Paper Citation Record · LEDGER

ContextModule: Improving Code Completion via Repository-level Contextual Information

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 3 inbound Pith citation observations for arXiv:2412.08063.

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

pith.paper-citation-record.v1
2412.08063 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:19:32.244083Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:10:06.657724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T21:20:38.711616Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cae37e12-6491-401c-b704-3934d17b820e · outbound

This paper cites Github copilot,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Github copilot,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:33.054646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.059668Z digest=sha256:c388dccbad06806753a3390ddd0b4c5da281fb0a32ce3bcb1eccaf4dafc45c70

Observation e991713e-650a-49c2-be74-28d1244b4186 · outbound

This paper cites Codeium,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Codeium,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:33.037145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.066083Z digest=sha256:bc4b0ada3b580c66df783be307643ca2be2d4972e23286ebcd8dc33a0cba7683

Observation b1820872-9454-4f1c-8e4d-68d6612d3a09 · outbound

This paper cites Marscode,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Marscode,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:33.018399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.071307Z digest=sha256:63f27f84a0d83166a37f054cc789a73e05ce8b25305100a49220897e2572af15

Observation 90e65c7f-768f-4f9c-a5ea-c376d95dcac9 · outbound

This paper cites Official page for language server protocol,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Official page for language server protocol,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.998802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.076725Z digest=sha256:771ba1e79b8bb69650ff315471d832aab5714a0afa371c129a2036a04875e63e

Observation d1eb214d-7b26-41fb-bbf7-e08e181523ec · outbound

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

ContextModule: Improving Code Completion via Repository-level Contextual Information DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.081844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.081844Z digest=sha256:5136a2ba6fbc0d14ff1858d381180c93b7ec7b00d87c8ccd0f43e32bc03cbaa0

Observation d4e6167a-613d-4390-ba1b-3ad930bd7842 · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

ContextModule: Improving Code Completion via Repository-level Contextual Information Efficient Training of Language Models to Fill in the Middle

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.087072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.087072Z digest=sha256:575dbcf0b146e2f588bccaae934ade2cc1558f914d0ef18ebefec25ceb9576c6

Observation 78e54c3b-4147-46ef-b6eb-eb48cb4ba992 · outbound

This paper cites Nltk :: Natural language toolkit,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Nltk :: Natural language toolkit,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.982685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.092903Z digest=sha256:b3c523d532efc67db2649adae1d7150992cfd0c3db65eca90e0095b7adc5f97e

Observation 6dd7adf5-ed60-411e-88e9-cbb889f39ff5 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

ContextModule: Improving Code Completion via Repository-level Contextual Information CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.098854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.098854Z digest=sha256:70cb048a6aecf22bfc2d0a68b39f4088e8e3030d9652abb9532d4602d22ad7c0

Observation f851cf45-dcaa-46fd-acd1-06872f9f5ec6 · outbound

This paper cites An efficient recommendation generation using relevant jaccard similarity,.

ContextModule: Improving Code Completion via Repository-level Contextual Information An efficient recommendation generation using relevant jaccard similarity,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.966127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.105401Z digest=sha256:2e51b5acec98ba42a59e3c6fe0d8988eb8c3818483e352bf7b6c470aa366a48b

Observation 5e1a1700-ff35-4ba0-bb44-86615a0cc0fb · outbound

This paper cites Okapi bm25,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Okapi bm25,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.949048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.110656Z digest=sha256:1ee6dbbaf5d63f5c65a0b05e0a730f9687dcb157d209dd0632c4530a21da7e6a

Observation e644d287-6e89-4631-bc57-2292543d766d · outbound

This paper cites Large language models for code completion: A systematic literature review,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Large language models for code completion: A systematic literature review,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.929917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.115624Z digest=sha256:39227aa5ffb6cc3eec578723507c32f0623ee7fc948ac0a6003feade7ba15650

Observation dd62d257-a8f0-4988-a590-c4e0d0d65213 · outbound

This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.

ContextModule: Improving Code Completion via Repository-level Contextual Information Large Language Models for Software Engineering: A Systematic Literature Review

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.120357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.120357Z digest=sha256:70e7d84558bddb91bc00d8b2190e29278389fe6eb60ac5edeca49cd64d20d9f3

Observation b4f51139-766d-46a0-a77a-c42ad0f826c6 · outbound

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

ContextModule: Improving Code Completion via Repository-level Contextual Information UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.127422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.127422Z digest=sha256:c672645be0d342193b8393ec608e7c6514db8f2e786db7ddd13c78961009ca51

Observation 82a5d04d-2dd4-4220-876a-f8cb58969b3f · outbound

This paper cites Structured chain-of-thought prompting for code generation,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Structured chain-of-thought prompting for code generation,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.132604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.132604Z digest=sha256:7c7720b849e5f8675be72d743c74377c09575633ca45d59a2e1452adb61d1167

Observation 74a3f5e0-ce14-4e87-978e-570bc8d57270 · outbound

This paper cites Large language model-aware in-context learning for code generation,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Large language model-aware in-context learning for code generation,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.138701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.138701Z digest=sha256:af050a89d2e4718825bb7643bfed65e1484fa0daa11f235570537ddd58c5fc2e

Observation 502ce035-544a-4076-8678-c4dd44711d0c · outbound

This paper cites Codefill: Multi-token code completion by jointly learning from structure and naming sequences,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Codefill: Multi-token code completion by jointly learning from structure and naming sequences,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.898024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.143712Z digest=sha256:e5d442bd7390938d0a62cf35b2a4da492e96b17d970281040a7fce3d8a750a8d

Observation a61f9142-8681-4028-a20f-3cff8ad68a65 · outbound

This paper cites Intellicode compose: Code generation using transformer,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Intellicode compose: Code generation using transformer,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.149419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.149419Z digest=sha256:06a7af80b694d3241eb0ef3710ff609e497fc26274781dc5a4d9585d4b2f7c8e

Observation 092a9aad-04b7-42e3-afd8-a04bcdc87825 · outbound

This paper cites ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.

ContextModule: Improving Code Completion via Repository-level Contextual Information ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.154384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.154384Z digest=sha256:9c4a832529691679faac518ac0f6b05251978f433a0b552fb007e9371999b46d

Observation b1ed36fc-54e1-496f-80c3-3e700d71ad8f · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

ContextModule: Improving Code Completion via Repository-level Contextual Information InCoder: A Generative Model for Code Infilling and Synthesis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.159174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.159174Z digest=sha256:4a5970b11078206e151653741867b692967b2c31d7bd688274c9c807563ad32d

Observation b3af92c3-5749-4baa-a80d-f56843c745c3 · outbound

This paper cites Language models for code completion: A practical evaluation,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Language models for code completion: A practical evaluation,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.165441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.165441Z digest=sha256:075c43b276d3402e0c4788fe755e61d38f4488b67af5baa59be45c648b63c6fc

Observation 9e589b91-29d8-4c24-b7b5-30263f37d1f5 · outbound

This paper cites Evaluating the evalu- ations of code recommender systems: a reality check,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Evaluating the evalu- ations of code recommender systems: a reality check,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.856418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.171815Z digest=sha256:a7e7984cd645cf8648a0b4014e81f4661a5d3b7e1dd24f3341a2c00703b552c0

Observation 36957eb4-ad5f-4b36-94ed-9b0b094fa224 · outbound

This paper cites When code completion fails: A case study on real-world completions,.

ContextModule: Improving Code Completion via Repository-level Contextual Information When code completion fails: A case study on real-world completions,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.176764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.176764Z digest=sha256:8738d4f4add576910ce3c3a863e944e60f4cf098790b91b8bc1b411ab9a6912e

Observation b70633ff-e6ba-4f7e-a67c-8a5da8d9a36a · outbound

This paper cites Learning autocompletion from real- world datasets,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Learning autocompletion from real- world datasets,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.183167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.183167Z digest=sha256:f07c2417e8bc67918f2e5f2f7a748abed2ac64dbc0ab7a935a0dd99825f1676b

Observation c8534981-0618-48a8-b3a1-0f2e71a107bd · outbound

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

ContextModule: Improving Code Completion via Repository-level Contextual Information Code Llama: Open Foundation Models for Code

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.190308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.190308Z digest=sha256:4fb6faf944876640b5e091188087a63da92b965235eefe22032ddf7ff1ae1164

Observation e7e6723e-702e-480d-8b9b-58af626b5247 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

ContextModule: Improving Code Completion via Repository-level Contextual Information DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.196810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.196810Z digest=sha256:836b4e7a0b59085b4bf91c04b141e4d04dec81f180e302660a0adc0f59484dc6

Observation aa4b94d5-5d22-4c88-93fc-6b93ab9e2ecb · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

ContextModule: Improving Code Completion via Repository-level Contextual Information StarCoder 2 and The Stack v2: The Next Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.201825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.201825Z digest=sha256:d53a0977dc2fca80d3f68fb59722f698a2c425de82a390c16fbe54a8c2e41a6f

Observation 6f94d1cd-4599-45cc-a46e-cd54639505c6 · outbound

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

ContextModule: Improving Code Completion via Repository-level Contextual Information Longcoder: A long- range pre-trained language model for code completion,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.207288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.207288Z digest=sha256:3794ca97c644f8c18db9d63f25a44a4ccfe066fb5a340340f3ccd72cb465c771

Observation 4a2e1206-7699-40bd-b853-4bd6512ccbbe · outbound

This paper cites Bridge and hint: Extending pre-trained language models for long-range code,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Bridge and hint: Extending pre-trained language models for long-range code,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.793735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.211401Z digest=sha256:bc97a65bfd91df7fe49f9deaa2d9982f528ef85a521fd30998fdf0022878eee1

Observation 7d48d92a-f1ae-4413-980c-7467cfc06db8 · outbound

This paper cites Improving code generation by dynamic temperature sampling,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Improving code generation by dynamic temperature sampling,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.770768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.216529Z digest=sha256:fa7ae6eb149a9dc7cc90152a67650264fc1c953421646d0e2ead87f342f16ebc

Observation ede48d62-7a40-4138-87c5-51c64af0f217 · outbound

This paper cites Multi-task learning based pre- trained language model for code completion,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Multi-task learning based pre- trained language model for code completion,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.751039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.221388Z digest=sha256:13b36c9b0bec53a8487eebdff77b2daabda558080fc1ac1eca2658c242d25755

Observation 2ae12326-29ec-4b4c-8daa-dbe5d47e7787 · outbound

This paper cites An empirical study on the usage of transformer models for code completion,.

ContextModule: Improving Code Completion via Repository-level Contextual Information An empirical study on the usage of transformer models for code completion,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:32.731262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:19:32.226199Z digest=sha256:4c65e08116983c36e111fea3d6498fd05a3552b9bf22248abf56fcaaa6e7c81b

Observation faf7d65e-489c-41e5-9256-b72ebe61ad2d · outbound

This paper cites Planning with Large Language Models for Code Generation.

ContextModule: Improving Code Completion via Repository-level Contextual Information Planning with Large Language Models for Code Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.230248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.230248Z digest=sha256:05ae77835f301b8d57f968f37244144be9137d55593aef88796cf9952a2fc201

Observation 5302c678-9901-46f2-9863-675dec902409 · outbound

This paper cites Clarifygpt: A framework for enhancing llm-based code generation via requirements clarification,.

ContextModule: Improving Code Completion via Repository-level Contextual Information Clarifygpt: A framework for enhancing llm-based code generation via requirements clarification,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.234389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.234389Z digest=sha256:ad6d3234d79b4e90d22256ace53863f7257c6a0ab61ffb104700cde449df38a5

Observation ec820c84-b415-4e6b-be02-4c515e625819 · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

ContextModule: Improving Code Completion via Repository-level Contextual Information RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.239071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.239071Z digest=sha256:db7e620a967d6b2cadf79150065118c9799572084ce39470b1e9dce4c183e34e

Observation 563c616b-e1a7-4488-97a1-19d58090e80d · outbound

This paper cites RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion.

ContextModule: Improving Code Completion via Repository-level Contextual Information RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:32.244083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:32.244083Z digest=sha256:80050b5d86bc60004f45a2f5b66ddc583d8335bbc18a37cc9c0f19e9179c462c

Pith citing papers

Observation e6d8271e-819d-4f2a-975b-c018a6ff620e · inbound

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches cites this paper.

Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches ContextModule: Improving Code Completion via Repository-level Contextual Information

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:20:38.713933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction cites this paper.

Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction ContextModule: Improving Code Completion via Repository-level Contextual Information

Reference 66

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Observation 7320d3f8-5a59-410b-b548-58ad2ce66a63 · inbound

Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code Generation cites this paper.

Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code Generation ContextModule: Improving Code Completion via Repository-level Contextual Information

Reference 13

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