{"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/ess","entry":"ess","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":7,"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":7,"n_samples_ran":4,"n_samples_fingerprinted":2,"n_places":7,"n_places_pointer_only":5,"by_status":{"ran_honours":1,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"unverified":3},"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":"2609.12243","paper":"/paper/arxiv-2609-12243","title":"Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding","date":null,"month_inferred_from_arxiv_id":"2026-09","title_source":"syntology","repo":"MinooAhmadii/chopthin-consensus-power-sampling","path":"ccps/chopthin.py","file_url":"https://github.com/MinooAhmadii/chopthin-consensus-power-sampling/blob/HEAD/ccps/chopthin.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"75dedeb28b076d8b","mcp_get_code":{"code_sha256":"75dedeb28b076d8b"}},{"arxiv_id":"2605.15308","paper":"/paper/arxiv-2605-15308","title":"SMCEVOLVE: Principled Scientific Discovery via Sequential Monte Carlo Evolution","date":null,"month_inferred_from_arxiv_id":"2026-05","title_source":"syntology","repo":"kongwanbianjinyu/SMCEvolve","path":"smcevolve/temperature.py","file_url":"https://github.com/kongwanbianjinyu/SMCEvolve/blob/HEAD/smcevolve/temperature.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"486c7b8d78b7bf7e","mcp_get_code":{"code_sha256":"486c7b8d78b7bf7e"}},{"arxiv_id":"2508.10684","paper":"/paper/arxiv-2508-10684","title":"MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":"yuchen-zhu-zyc/MDNS","path":"utils.py","file_url":"https://github.com/yuchen-zhu-zyc/MDNS/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ac7a3634765bc430","mcp_get_code":{"code_sha256":"ac7a3634765bc430"}},{"arxiv_id":"2408.05834","paper":"/paper/divide-and-conquer-predictive-coding-a","title":"Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm","date":"2024-08-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"esennesh/dcpc_paper","path":"model/metric.py","file_url":"https://github.com/esennesh/dcpc_paper/blob/HEAD/model/metric.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2348e39e81f3fcc2","mcp_get_code":{"code_sha256":"2348e39e81f3fcc2"}},{"arxiv_id":"2406.16971","paper":"/paper/flexible-tails-for-normalizing-flows","title":"Flexible Tails for Normalizing Flows","date":"2024-06-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"tennessee-wallaceh/tailnflows","path":"tailnflows/metrics/metrics.py","file_url":"https://github.com/tennessee-wallaceh/tailnflows/blob/HEAD/tailnflows/metrics/metrics.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"32486c34f12aa6f5","mcp_get_code":{"code_sha256":"32486c34f12aa6f5"}},{"arxiv_id":"2301.11355","paper":"/paper/rigid-body-flows-for-sampling-molecular","title":"Rigid Body Flows for Sampling Molecular Crystal Structures","date":"2023-01-26","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"noegroup/rigid-flows","path":"postprocessing/calcLFEP.py","file_url":"https://github.com/noegroup/rigid-flows/blob/HEAD/postprocessing/calcLFEP.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"9448b7089d1a8d93","mcp_get_code":{"code_sha256":"9448b7089d1a8d93"}},{"arxiv_id":"1206.1901","paper":"/paper/mcmc-using-hamiltonian-dynamics","title":"MCMC using Hamiltonian dynamics","date":null,"month_inferred_from_arxiv_id":"2012-06","title_source":"archive","repo":"ricvalp/aisampler","path":"aisampler/sampling/metrics.py","file_url":"https://github.com/ricvalp/aisampler/blob/HEAD/aisampler/sampling/metrics.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"022942a1868fa9bb","mcp_get_code":{"code_sha256":"022942a1868fa9bb"}}]}