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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:585fb83da839f8305df4bc2ba766584509390e42e57afb7a54d5d6068068c5a0

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=sha256:067c63370ea1bfe6e548dbacb6101833ba6db28fdae445c7a5afb5c7948b9156

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:41:31.865412Z digest=sha256:02ab5cd9a3f6b6d25c5b17c44601c90741b53ec2ab1ba8f0756870d9223be745

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:2f535fa4bc39620e76ce26e66bad81776ee2bbc3a42123a332526bad944eb3e4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T19:31:51.501833Z digest=sha256:f70d3f3f02b87374d638ce2a18d87d138da000d1149bf94ae8931d092c698a2a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T02:58:18.572343Z digest=sha256:dbd1a4500b2b80cc2ed2b991e42ecdce65219e6b83b353414851ed0b96417cde

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T03:49:43.791435Z digest=sha256:d9389fa1dfce20858b226bb63e5ccb7d635d28e4a7de27603b1b8b0defefa5b4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T22:48:44.389705Z digest=sha256:355537b9303264cc2da98a1018bde4d0b96fdad0a0e33ce7e1179cb0940144df

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