Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.
This report summarizes scanner evidence for dw-dengwei/daily-arXiv-ai-enhanced, a JavaScript project with 3,027 GitHub stars. SynthScan examined 9,966 lines of code across 48 source files, recording 46 pattern matches distributed across 11 syntactic categories. The legacy adjusted pattern signal is 6.6 (Moderate pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 25 finding(s).
Are imports declared and package/API names verified? 10 finding(s).
Are wrappers, guards, and repeated structures necessary? 18 finding(s).
Which changes need focused human review? 46 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 46 distinct pattern matches across 11 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 41 | except Exception as e: | CODE |
| MEDIUM | daily_arxiv/daily_arxiv/check_stats.py | 42 | print(f"Error reading {file_path}: {e}", file=sys.stderr) | CODE |
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 59 | except Exception as e: | CODE |
| MEDIUM | daily_arxiv/daily_arxiv/check_stats.py | 60 | print(f"Error saving {file_path}: {e}", file=sys.stderr) | CODE |
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 120 | except Exception as e: | CODE |
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 127 | except Exception as e: | CODE |
| LOW | ai/enhance.py | 66 | except Exception: | CODE |
| LOW | ai/enhance.py | 122 | except Exception as json_e: | CODE |
| LOW | ai/enhance.py | 128 | except Exception as e: | CODE |
| LOW | ai/enhance.py | 182 | except Exception as e: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 9 | CODE | |
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 10 | CODE | |
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 11 | CODE | |
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 12 | CODE | |
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 12 | CODE | |
| LOW | ai/enhance.py | 7 | CODE | |
| LOW | ai/enhance.py | 8 | CODE | |
| LOW | ai/structure.py | 1 | CODE | |
| LOW | ai/structure.py | 2 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | js/app.js | 1381 | COMMENT | |
| LOW | daily_arxiv/daily_arxiv/middlewares.py | 81 | COMMENT | |
| LOW | daily_arxiv/daily_arxiv/settings.py | 1 | # Scrapy settings for daily_arxiv project | COMMENT |
| LOW | daily_arxiv/daily_arxiv/settings.py | 21 | COMMENT | |
| LOW | daily_arxiv/daily_arxiv/settings.py | 41 | # "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", | COMMENT |
| LOW | daily_arxiv/daily_arxiv/settings.py | 61 | # } | COMMENT |
| LOW | daily_arxiv/daily_arxiv/settings.py | 81 | # AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 | COMMENT |
| LOW | daily_arxiv/daily_arxiv/spiders/__init__.py | 1 | # This package will contain the spiders of your Scrapy project | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | js/app.js | 341 | function matchPapersByKeywordsOrAuthor(papers, keywords, author) { | CODE |
| LOW | ai/runtime.py | 35 | def raise_if_processing_failed(errors: list[str]) -> None: | CODE |
| LOW | ai/tests/test_runtime.py | 7 | def test_openai_configuration_strips_key_and_omits_provider_extensions(self): | CODE |
| LOW | ai/tests/test_runtime.py | 20 | def test_volcengine_configuration_disables_thinking_with_extra_body(self): | CODE |
| LOW | ai/tests/test_runtime.py | 33 | def test_processing_error_is_reported_after_a_batch(self): | CODE |
| LOW | ai/tests/test_content_filter.py | 18 | def test_service_rate_limit_does_not_block_a_paper(self, _post): | CODE |
| LOW | ai/tests/test_content_filter.py | 26 | def test_confirmed_sensitive_content_is_blocked(self, _post): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | daily_arxiv/daily_arxiv/middlewares.py | 18 | # This method is used by Scrapy to create your spiders. | COMMENT |
| MEDIUM | daily_arxiv/daily_arxiv/middlewares.py | 65 | # This method is used by Scrapy to create your spiders. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | index.html | 234 | <p>© 2025 daily-arXiv-ai-enhanced | 内容由AI生成，请仔细甄别。若发现不当内容，请通过Issue反应，我们将及时处理。 | The content is generate | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | run.sh | 21 | echo " export OPENAI_API_KEY=\"your-api-key-here\"" | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | ai/enhance.py | 66 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | setup-local-auth.sh | 10 | # Check if .env file exists | COMMENT |
| LOW | setup-local-auth.sh | 20 | # Check if ACCESS_PASSWORD is set | COMMENT |
| LOW | to_md/convert.py | 49 | # Check if all required AI fields are present | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 16 | CODE | |
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 63 | CODE | |
| LOW | daily_arxiv/daily_arxiv/check_stats.py | 131 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | daily_arxiv/daily_arxiv/pipelines.py | 3 | # Don't forget to add your pipeline to the ITEM_PIPELINES setting | COMMENT |