{"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":"/census/unnormalize-to-zero-to-one","entry":"unnormalize_to_zero_to_one","source":"Syntology differential census (groundwork/55, run v2_2026-09-22), per sample; not an archive number","census_date":"2026-09-22","battery_sha256":["b986f7e04d794a0d88ad4c5f32cf63ec3590b5deff0192150737bc5f1c0b4677"],"runner_sha256":["5a452d0e7c0da5b80771d1be2afe3572e253568cf5c5d59a0d08ebd663d00808"],"bucket_key":"positional (rank, kind, dtype) of each array argument; the argument name is not part of the key because the harness draws the shared array from (rank, kind) and casts it to the dtype, whatever the name","bucket_fields":["rank","kind","dtype"],"claim":"Implementations sharing this entry name were each run on one shared input fixed by the positional (rank, kind, dtype) of their array arguments (the bucket). A cluster is the set whose recorded output digest (sha256 of the output rounded to 6 decimals) is identical. Identical values to six decimals on the shared input are agreement on those inputs, not a statement about the whole domain and not a substitution claim.","n_implementations_compared":4,"n_papers":6,"n_buckets":1,"n_distinct_outputs":1,"n_class_bearing":0,"not_compared":{"not_run_on_shared_input":{"n":0,"by_error":{}},"no_array_argument_ran_on_own_fixture_arguments_only":{"n":0,"n_papers":0,"recorded_shared_digest_equals_own_fixture_digest":0},"output_not_digested_non_numeric":{"n":0,"by_type":{}}},"withdrawn_excluded":0,"code_page":"/code/unnormalize-to-zero-to-one","buckets":[{"bucket":[[2,"float","float32"]],"n_implementations_compared":4,"n_papers":6,"n_not_digested":0,"not_digested_by_type":{},"clusters":[{"output_sha":"893700fee8ac32b2","size":4,"n_papers":6,"shape":[4,8],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":0.0,"members_with_recorded_values":4,"torch_reference_conventions_with_this_digest":[],"values":[1.4013142585754395,-0.2668881416320801,0.7380266189575195,0.1545564830303192,0.048575252294540405,-0.015235602855682373,0.1686195433139801,0.7864446043968201,0.7594379782676697,0.9795728325843811,0.30140021443367004,-0.2841740846633911,0.35573244094848633,1.6610543727874756,0.24260801076889038,0.7752642631530762,0.5331977009773254,-0.31143778562545776,0.716055691242218,0.29690706729888916,0.4887028932571411,-0.09039121866226196,0.23156586289405823,0.9918370842933655,0.10219359397888184,0.7166371941566467,0.9724888801574707,1.0087591409683228,-0.11289286613464355,1.1371090412139893,-0.16111093759536743,0.20294544100761414],"values_recorded":32,"members":[{"code_sha256_prefix":"97e1bbd232dfe092","path":"model/SODA.py","papers":["2311.17901","2412.04833","2407.16171"],"paper_pages":[{"arxiv_id":"2311.17901","page":"/paper/soda-bottleneck-diffusion-models-for"},{"arxiv_id":"2412.04833","page":"/paper/wavelet-diffusion-neural-operator"},{"arxiv_id":"2407.16171","page":"/paper/learning-trimodal-relation-for-avqa-with"}],"arg_sig_recorded":[["t",2,"float","float32"]],"scalar_args":{},"class_bearing":false},{"code_sha256_prefix":"58f82a41ebe19a68","path":"src/model.py","papers":["2403.11157"],"paper_pages":[{"arxiv_id":"2403.11157","page":"/paper/selective-hourglass-mapping-for-universal"}],"arg_sig_recorded":[["img",2,"float","float32"]],"scalar_args":{},"class_bearing":false},{"code_sha256_prefix":"b38122a345b00169","path":"DSTPP/DiffusionModel.py","papers":["2606.01273"],"paper_pages":[{"arxiv_id":"2606.01273","page":"/paper/arxiv-2606-01273"}],"arg_sig_recorded":[["t",2,"float","float32"]],"scalar_args":{},"class_bearing":false},{"code_sha256_prefix":"e40e4381110f6992","path":"models/ETDiff/mixed_diffusion.py","papers":["2603.23719"],"paper_pages":[{"arxiv_id":"2603.23719","page":"/paper/arxiv-2603-23719"}],"arg_sig_recorded":[["t",2,"float","float32"]],"scalar_args":{},"class_bearing":false}]}]}]}