ai-research-survey

Systematic scan of agentic development research. What's signal, what's noise.
git clone https://git.shiptheloop.com/ai-research-survey.git
Log | Files | Refs

scan-failures.txt (2369B)


      1 # Scan failures (39 total)
      2 
      3 us-betting-economy-2025
      4   text extraction failed: pymupdf: too short (42 chars)
      5 
      6 improved-autoregressive-evaluation-2025
      7   text extraction failed: pymupdf: too short (42 chars)
      8 
      9 tales-from-trenches-2024
     10   text extraction failed: pymupdf: too short (2 chars)
     11 
     12 comprehensive-review-prompt-2025
     13   text extraction failed: pymupdf: too few words/page (17)
     14 
     15 humanevo-evolutionaware-benchmark-2024
     16   invalid JSON: Expecting property name enclosed in double quotes: line 365 column 3 (char 23541)
     17 
     18 importsnare-directed-code-2025
     19   claude exit 1: 
     20 
     21 rescue-retrieval-augmented-2025
     22   claude exit 1: 
     23 
     24 fidelitygpt-correcting-decompilation-2025
     25   claude exit 1: 
     26 
     27 retrievalaugmented-generation-reliable-2025
     28   claude exit 1: 
     29 
     30 leveraging-lecture-content-2024
     31   claude exit 1: 
     32 
     33 seer-selfaligned-evidence-2024
     34   claude exit 1: 
     35 
     36 general-instructionfollowing-alignment-2024
     37   claude exit 1: 
     38 
     39 understanding-design-decisions-2024
     40   claude exit 1: 
     41 
     42 morag-multifusion-retrieval-2024
     43   claude exit 1: 
     44 
     45 retrieval-augmented-generation-2024
     46   claude exit 1: 
     47 
     48 ragviz-diagnose-visualize-2024
     49   claude exit 1: 
     50 
     51 llavacode-compressed-code-2025
     52   claude exit 1: 
     53 
     54 exploring-security-threats-2025-2
     55   claude exit 1: 
     56 
     57 irsc-zeroshot-evaluation-2024
     58   claude exit 1: 
     59 
     60 easyrag-efficient-retrievalaugmented-2024
     61   claude exit 1: 
     62 
     63 laura-enhancing-code-2025
     64   claude exit 1: 
     65 
     66 enhancing-scientific-reproducibility-2024
     67   claude exit 1: 
     68 
     69 how-build-ai-2023
     70   claude exit 1: 
     71 
     72 preferenceguided-refactored-tuning-2024
     73   claude exit 1: 
     74 
     75 retroli-smallscale-retrieval-2024
     76   claude exit 1: 
     77 
     78 improving-llmassisted-secure-2026
     79   claude exit 1: 
     80 
     81 improving-retrievalaugmented-code-2024
     82   claude exit 1: 
     83 
     84 rar-retrievalaugmented-retrieval-2024
     85   claude exit 1: 
     86 
     87 predict-retrieval-test-2026
     88   claude exit 1: 
     89 
     90 retrievalaugmented-code-generation-2023
     91   claude exit 1: 
     92 
     93 dynamic-retrievalaugmented-generation-2023
     94   claude exit 1: 
     95 
     96 retrieval-augmented-generation-2023
     97   claude exit 1: 
     98 
     99 syntaxaware-retrieval-augmented-2023
    100   claude exit 1: 
    101 
    102 retrievalaugmented-code-generation-2024
    103   claude exit 1: 
    104 
    105 rat-retrieval-augmented-2024
    106   claude exit 1: 
    107 
    108 improving-deep-assertion-2025
    109   claude exit 1: 
    110 
    111 retrievalaugmented-finetuning-preference-2025
    112   claude exit 1: 
    113 
    114 p4omp-retrievalaugmented-prompting-2025
    115   claude exit 1: 
    116 
    117 retrievalaugmented-code-review-2025
    118   claude exit 1: 
    119 

Impressum · Datenschutz