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Paper Citation Record · LEDGER

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.10018.

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

pith.paper-citation-record.v1
2406.10018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:29.655141Z

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
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
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 2cbc9ec9-ee14-4391-8f37-e610cc27075c · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.541302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:af072643cf2e06540407f827e35fa8a7143bdcfa99f4834e860398b048385533

Observation ee0253b2-f319-4381-8b84-d7aa8fc6ccd5 · inbound

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat cites this paper.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:29.655141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:29.655141Z digest=sha256:707c0a0d62d940ea6d59e3c6b7916c15a7253fe18b86e9a6447c0ffffafff141

Observation de71d29b-1ba1-4c2b-b0a0-a596e5abe606 · inbound

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation cites this paper.

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T21:47:57.305948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:47:57.305948Z digest=sha256:435535b9923f287a47a5ecdf67097f77583029f7c081e662ed4b3331ca0e0aef

Observation 6c2ac3a5-8362-4cc2-b521-e912a479060c · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:42:17.374074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T01:41:31.865412Z digest=sha256:6b2de7263a3ef42afab2c64ff9c9442299666f647dba0eb38ffd4d6a645d2ce7

Observation 9d058e20-0e08-4538-b41e-dc14483841f6 · inbound

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework cites this paper.

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T00:13:16.148540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:13:16.148540Z digest=sha256:9058d3de2f68002605673109560a04a8f24f30a0b6b71c14d14b7954e5cab977

Observation bac3a725-dd78-4604-aa3d-e342aeb07911 · inbound

In Line with Context: Repository-Level Code Generation via Context Inlining cites this paper.

In Line with Context: Repository-Level Code Generation via Context Inlining STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:08:12.861303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:dcd5fb505e3d54ad34fb2f5be8c3238397bbbd449909fdba971f4dd273579d08

Observation e3d4aaad-1ebc-40c7-959f-90202f8319b5 · inbound

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition cites this paper.

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:33:10.169193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:31:51.501833Z digest=sha256:c8a9e112c7a3b765b004ee0f48526accd088825f777cff2bf3d540bec7108df7

Observation f08ebd68-6653-49f8-9352-25490c881fc6 · inbound

Mono2Sls: Automated Monolith-to-Serverless Migration via Multi-Stage Pipeline with Static Analysis cites this paper.

Mono2Sls: Automated Monolith-to-Serverless Migration via Multi-Stage Pipeline with Static Analysis STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:21:31.286302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T02:58:18.572343Z digest=sha256:9ba187859de335c0a02338a6dc674c82baeb16e272a8ade73763a3ff6429a731

Observation 43c05b92-246d-4b31-ac9b-3e3e392c3b51 · inbound

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring cites this paper.

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:29:53.458496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T03:49:43.791435Z digest=sha256:1c9de5e867c7b753730a2c4c3c2b804a4b6df3ee26398fdb38941e16233be6bc

Observation abed4bd9-46c9-42f3-a453-843e9d477f45 · inbound

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring cites this paper.

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:49:00.624013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T22:48:44.389705Z digest=sha256:dc113d7d03a5adc954494a3636c759ea609844fd9acb9334fcf18fd6dcba4497

Observation f9d37b7d-aa0b-4bad-842c-e90f42fd1711 · inbound

WebDesignIter: Co-Evolving Design Knowledge for Repository-Level Front-End Code Generation cites this paper.

WebDesignIter: Co-Evolving Design Knowledge for Repository-Level Front-End Code Generation STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T10:25:48.783165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:25:48.783165Z digest=sha256:70245fa8adceb86eaa3b52add3f90273142b3ab40dd6632246d6c90fd579c2a8