{"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/randn-tensor","entry":"randn_tensor","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":4,"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":6,"n_samples_ran":4,"n_samples_fingerprinted":0,"n_places":6,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":2,"ran":2,"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":"2512.04559","paper":"/paper/arxiv-2512-04559","title":"Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function","date":null,"month_inferred_from_arxiv_id":"2025-12","title_source":"syntology","repo":"Shin-woocheol/SQDF","path":"BBO/online/sqdf_utils.py","file_url":"https://github.com/Shin-woocheol/SQDF/blob/HEAD/BBO/online/sqdf_utils.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8121c4d7a5705c88","mcp_get_code":{"code_sha256":"8121c4d7a5705c88"}},{"arxiv_id":"2501.18052","paper":"/paper/saeuron-interpretable-concept-unlearning-in","title":"SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders","date":"2025-01-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cywinski/saeuron","path":"SAE/utils.py","file_url":"https://github.com/cywinski/saeuron/blob/HEAD/SAE/utils.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":"4645950ce9c90012","mcp_get_code":{"code_sha256":"4645950ce9c90012"}},{"arxiv_id":"2407.13584","paper":"/paper/connecting-consistency-distillation-to-score","title":"Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation","date":"2024-07-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"LMozart/ECCV2024-GCS-BEG","path":"guidance/sd_step.py","file_url":"https://github.com/LMozart/ECCV2024-GCS-BEG/blob/HEAD/guidance/sd_step.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"1f22666d0ffc07f3","mcp_get_code":{"code_sha256":"1f22666d0ffc07f3"}},{"arxiv_id":"2308.12038","paper":"/paper/large-multilingual-models-pivot-zero-shot","title":"Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages","date":"2023-08-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"openbmb/viscpm","path":"VisCPM/models/modeling_utils.py","file_url":"https://github.com/openbmb/viscpm/blob/HEAD/VisCPM/models/modeling_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ee2b12345ea442a8","mcp_get_code":{"code_sha256":"ee2b12345ea442a8"}},{"arxiv_id":"2303.16765","paper":"/paper/mdp-a-generalized-framework-for-text-guided","title":"MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path","date":"2023-03-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"qianwangx/mdp-diffusion","path":"utils.py","file_url":"https://github.com/qianwangx/mdp-diffusion/blob/HEAD/utils.py","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"58d00c5be7a6d59b","mcp_get_code":{"code_sha256":"58d00c5be7a6d59b"}},{"arxiv_id":"2303.16765","paper":"/paper/mdp-a-generalized-framework-for-text-guided","title":"MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path","date":"2023-03-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ashutosh1919/mdp-diffusion","path":"mdp/utils/utils.py","file_url":"https://github.com/ashutosh1919/mdp-diffusion/blob/HEAD/mdp/utils/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3216eff70159628a","mcp_get_code":{"code_sha256":"3216eff70159628a"}}]}