{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/hsv-to-rgb","entry":"hsv_to_rgb","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":5,"n_papers_ran":2,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":4,"n_samples_ran":2,"n_samples_fingerprinted":1,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2510.00037","paper":"/paper/arxiv-2510-00037","title":"RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations","date":null,"month_inferred_from_arxiv_id":"2025-10","title_source":"syntology","repo":"gakakulicc/RobustVLA","path":"openpi/src/openpi/robust_util/ucb_augmentation_balancer.py","file_url":"https://github.com/gakakulicc/RobustVLA/blob/HEAD/openpi/src/openpi/robust_util/ucb_augmentation_balancer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"83e008a0cde174e8","mcp_get_code":{"code_sha256":"83e008a0cde174e8"}},{"arxiv_id":"2307.15157","paper":"/paper/r-lpips-an-adversarially-robust-perceptual","title":"R-LPIPS: An Adversarially Robust Perceptual Similarity Metric","date":"2023-07-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"saraghazanfari/r-lpips","path":"util/byol_augmentation.py","file_url":"https://github.com/saraghazanfari/r-lpips/blob/HEAD/util/byol_augmentation.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-2-Clause","inline_ok":true,"code_sha256_prefix":"d4345f2b46b25d5b","mcp_get_code":{"code_sha256":"d4345f2b46b25d5b"}},{"arxiv_id":"2301.05158","paper":"/paper/semppl-predicting-pseudo-labels-for-better","title":"SemPPL: Predicting pseudo-labels for better contrastive representations","date":"2023-01-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-deepmind/semppl","path":"utils/augmentations.py","file_url":"https://github.com/google-deepmind/semppl/blob/HEAD/utils/augmentations.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"56b9317b9ed66304","mcp_get_code":{"code_sha256":"56b9317b9ed66304"}},{"arxiv_id":"2201.05119","paper":"/paper/pushing-the-limits-of-self-supervised-resnets","title":"Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?","date":"2022-01-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"google-deepmind/relicv2","path":"utils/augmentations.py","file_url":"https://github.com/google-deepmind/relicv2/blob/HEAD/utils/augmentations.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"56b9317b9ed66304","mcp_get_code":{"code_sha256":"56b9317b9ed66304"}},{"arxiv_id":"1905.09275","paper":"/paper/cobra-data-efficient-model-based-rl-through","title":"COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration","date":"2019-05-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"deepmind/spriteworld","path":"spriteworld/renderers/color_maps.py","file_url":"https://github.com/deepmind/spriteworld/blob/HEAD/spriteworld/renderers/color_maps.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"e54f1b19d2bbef8d","mcp_get_code":{"code_sha256":"e54f1b19d2bbef8d"}}]}