{"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/pmf-to-quantized-cdf","entry":"pmf_to_quantized_cdf","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":1,"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":3,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"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":"2512.12229","paper":"/paper/arxiv-2512-12229","title":"Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder","date":null,"month_inferred_from_arxiv_id":"2025-12","title_source":"syntology","repo":"LuizScarlet/AEIC","path":"src/codec/base_entropy_coder.py","file_url":"https://github.com/LuizScarlet/AEIC/blob/HEAD/src/codec/base_entropy_coder.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5a2be7a263fac600","mcp_get_code":{"code_sha256":"5a2be7a263fac600"}},{"arxiv_id":"2507.19125","paper":null,"title":"arXiv:2507.19125","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"lyq133/LIC-HPCM","path":"src/entropy_models/entropy_models.py","file_url":"https://github.com/lyq133/LIC-HPCM/blob/HEAD/src/entropy_models/entropy_models.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b5dd898abb1e9dd4","mcp_get_code":{"code_sha256":"b5dd898abb1e9dd4"}},{"arxiv_id":"2407.10833","paper":"/paper/moe-diffir-task-customized-diffusion-priors","title":"MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration","date":"2024-07-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Justin-Tan/high-fidelity-generative-compression","path":"src/helpers/maths.py","file_url":"https://github.com/Justin-Tan/high-fidelity-generative-compression/blob/HEAD/src/helpers/maths.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8169fb353c1eddce","mcp_get_code":{"code_sha256":"8169fb353c1eddce"}},{"arxiv_id":"2406.01597","paper":"/paper/end-to-end-rate-distortion-optimized-3d","title":"End-to-End Rate-Distortion Optimized 3D Gaussian Representation","date":"2024-04-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ustc-imcl/rdo-gaussian","path":"utils/entropy_model.py","file_url":"https://github.com/ustc-imcl/rdo-gaussian/blob/HEAD/utils/entropy_model.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b5dd898abb1e9dd4","mcp_get_code":{"code_sha256":"b5dd898abb1e9dd4"}},{"arxiv_id":"2305.16025","paper":"/paper/nvtc-nonlinear-vector-transform-coding-1","title":"NVTC: Nonlinear Vector Transform Coding","date":"2023-05-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ustc-imcl/nvtc","path":"image/nvtc_image/model/nvtc.py","file_url":"https://github.com/ustc-imcl/nvtc/blob/HEAD/image/nvtc_image/model/nvtc.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":"b5dd898abb1e9dd4","mcp_get_code":{"code_sha256":"b5dd898abb1e9dd4"}}]}