Files
roboimi/workspace/provenance.json
T

83 lines
3.0 KiB
JSON

{
"generated_at": "2026-05-15",
"note": "First PaperOrchestra draft. Figure rendering intentionally skipped per user request; Paper Banana prompts stored as placeholders in figures/*.paperbanana_prompt.txt and embedded in LaTeX tcolorboxes. Exa discovery was attempted; Semantic Scholar API key was not visible to shell, and unauthenticated S2 was rate-limited, so refs.bib was assembled from verified known paper metadata plus web/arXiv checks where possible.",
"files": [
{
"path": "inputs/idea.md",
"sha256": "537c18e73cf8d2e3f8c9ca52ca5570476659eba3e30ec53ec910eb93078bcf77",
"bytes": 13033
},
{
"path": "inputs/experimental_log.md",
"sha256": "4b08a21c2ac074583da43811f4dcea8fd17246830b584984e8d889e531e408e8",
"bytes": 11262
},
{
"path": "inputs/template.tex",
"sha256": "cd593743dfe04e9f0f954e20d0f06a66fc2c5848436bf99aca9b285b73f84724",
"bytes": 7653
},
{
"path": "inputs/conference_guidelines.md",
"sha256": "6580df5f779c3e71bbb8855ea68d53a9cce0ff99d678b4a7bf04b62ca29358e6",
"bytes": 12602
},
{
"path": "outline.json",
"sha256": "e8478a82156447db7ce5f5b87ce723bfdbc53bb5c831aad6c9be1756bf04a241",
"bytes": 25553
},
{
"path": "refs.bib",
"sha256": "80c6cd4eb09f996db097fc95f2309655a0264eb2d730bd451f992089e68654e8",
"bytes": 5693
},
{
"path": "citation_pool.json",
"sha256": "db92feda2d0ca640e16d02759f9bdb36c54efd86bb28ecb04b24cee6e3e3c7ef",
"bytes": 5371
},
{
"path": "figures/captions.json",
"sha256": "0666ac089fe9509fea18aaff1d3bfb7e61e2e4c06e53d1da91bc7d73e90b7f87",
"bytes": 2340
},
{
"path": "figures/fig_imf_attnres_components.paperbanana_prompt.txt",
"sha256": "8fc13b92afa4dc535145a372caeede673f34bd38b92411e005e5160b5bee804e",
"bytes": 551
},
{
"path": "figures/fig_method_overview.paperbanana_prompt.txt",
"sha256": "10d7219a1ad145a193dfeaef5a087986e1e08a2ebb93fe9bd64bd85e3e58c867",
"bytes": 579
},
{
"path": "figures/fig_sim_transfer_ablation.paperbanana_prompt.txt",
"sha256": "73edabb16bc28cc02d32722198f6f52eea2c5f54905b0171c738aaf7ac7d42e8",
"bytes": 505
},
{
"path": "figures/fig_socket_reward_latency.paperbanana_prompt.txt",
"sha256": "f535adb13a55cad29d1b03651f3fbc928b663c7c0e16d8a24880218123fc0da5",
"bytes": 571
},
{
"path": "final/paper.tex",
"sha256": "44964d95fa24183dc7e16f81b50b05fb7351e455e2d4771f1dc13791245c08e3",
"bytes": 28181
},
{
"path": "final/paper.pdf",
"sha256": "bf674c39629b089f6edf63253cdbf48e5fd2ce406cb9491807512032f4a28142",
"bytes": 240719
},
{
"path": "drafts/paper.tex",
"sha256": "44964d95fa24183dc7e16f81b50b05fb7351e455e2d4771f1dc13791245c08e3",
"bytes": 28181
}
],
"updated_at": "2026-05-16",
"last_change": "Moved mean-flow one-step generation derivation out of Related Work and into Method / Improved Mean Flow action generation."
}