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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:53:29.007007Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:98192bfe94cbfe299017117b0f2e61544149640384ea8ff628df8644d49b5b25

Observation e0fd9c19-07fb-4036-a591-a78b6d9c9738 · inbound

Combining Large Language Models with Static Analyzers for Code Review Generation cites this paper.

Combining Large Language Models with Static Analyzers for Code Review Generation STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-08T14:53:29.007007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:53:29.007007Z digest=sha256:7028c548c2062bd4275d62c1de8407d49e61d1caf8c265b6ad75fe5631ab9ea8

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:fed3dff81309b8aee5cfb138d2b2f53dbf030ed0b6bd35337c7ee775cf219d56

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:e35222b35258874069f24de41a3a8c526aad924f37e5c75f3e32d0869d3132a7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T01:41:31.865412Z digest=sha256:1fe4c1ba136643926a7c1bc7a162741e23e0a5dfefe82da8b5d89f10b96e07a3

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=sha256:779fa1a15778faa2585954c2f24cc9951fe7c9a9a74400459a10ae6b04f61c11

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:cd68a445bb3bbc22c8f44d2653753d6b8175850beb246d8d9889a8979a4a076f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:31:51.501833Z digest=sha256:7cdd70173626fd2b7d0fbc37a07fdf7a5992d00cb8c2edfae2b5fd186ca7b733

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T02:58:18.572343Z digest=sha256:f815315fadd5c9df699c5ac7d88ae27768cf07571718363d1d154ccd02a77b51

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T03:49:43.791435Z digest=sha256:05cfbbd29af0ea21495520ea5fec4d7798dff67891ce9738e0ff69ea892c2924

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T22:48:44.389705Z digest=sha256:af9a61dd84f2a9d3da52e244657bf3006d20dc8695099c0c5a37d02a4eb8e225

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=sha256:03b4cdb0d6a18f12b1c5a2169412c0e61a5de4757d7ba2bec04bc114d686d049