{"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/extract-time","entry":"extract_time","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":5,"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":5,"n_samples_ran":3,"n_samples_fingerprinted":1,"n_places":7,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":1,"ran_fixture":0,"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":"2510.06699","paper":"/paper/arxiv-2510-06699","title":"A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking","date":null,"month_inferred_from_arxiv_id":"2025-10","title_source":"syntology","repo":"azencot-group/ImagenI2R","path":"metrics/predictive_metrics.py","file_url":"https://github.com/azencot-group/ImagenI2R/blob/HEAD/metrics/predictive_metrics.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3c3b86a524c5e1ff","mcp_get_code":{"code_sha256":"3c3b86a524c5e1ff"}},{"arxiv_id":"2503.13964","paper":"/paper/mdocagent-a-multi-modal-multi-agent-framework","title":"MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding","date":"2025-03-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"aiming-lab/mdocagent","path":"mydatasets/base_dataset.py","file_url":"https://github.com/aiming-lab/mdocagent/blob/HEAD/mydatasets/base_dataset.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e4c5da1807297224","mcp_get_code":{"code_sha256":"e4c5da1807297224"}},{"arxiv_id":"2412.09328","paper":"/paper/auto-regressive-moving-diffusion-models-for","title":"Auto-Regressive Moving Diffusion Models for Time Series Forecasting","date":"2024-12-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"daxin007/armd","path":"Utils/metric_utils.py","file_url":"https://github.com/daxin007/armd/blob/HEAD/Utils/metric_utils.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"26f7b8d2b7cae501","mcp_get_code":{"code_sha256":"26f7b8d2b7cae501"}},{"arxiv_id":"2409.14013","paper":"/paper/chronogan-supervised-and-embedded-generative","title":"ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation","date":"2024-09-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"samresume/ChronoGAN","path":"utils.py","file_url":"https://github.com/samresume/ChronoGAN/blob/HEAD/utils.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"26f7b8d2b7cae501","mcp_get_code":{"code_sha256":"26f7b8d2b7cae501"}},{"arxiv_id":"2406.19392","paper":"/paper/rextime-a-benchmark-suite-for-reasoning","title":"ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos","date":"2024-06-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rextime/rextime","path":"demo/inference.py","file_url":"https://github.com/rextime/rextime/blob/HEAD/demo/inference.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"fdb15050f1e957b1","mcp_get_code":{"code_sha256":"fdb15050f1e957b1"}},{"arxiv_id":"2405.13382","paper":"/paper/vtg-llm-integrating-timestamp-knowledge-into","title":"VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding","date":"2024-05-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"gyxxyg/vtg-llm","path":"utils/format_tvg.py","file_url":"https://github.com/gyxxyg/vtg-llm/blob/HEAD/utils/format_tvg.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"c033cc58db86cb93","mcp_get_code":{"code_sha256":"c033cc58db86cb93"}},{"arxiv_id":"2210.02040","paper":"/paper/gt-gan-general-purpose-time-series-synthesis","title":"GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks","date":"2022-10-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jsyoon0823/TimeGAN","path":"timegan.py","file_url":"https://github.com/jsyoon0823/TimeGAN/blob/HEAD/timegan.py","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"26f7b8d2b7cae501","mcp_get_code":{"code_sha256":"26f7b8d2b7cae501"}}]}