{"about":{"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.","site":"https://codewithpapers.app","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","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/hallucination/papers/19","list_of":"/task/hallucination","task":"Hallucination","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":19,"pages_in_order":19,"rows_per_page":100,"rows":[1801,1816],"of":1816,"counts":{"archive_papers_tagged":1816,"with_a_code_link":752,"where_syntology_ran_a_sample":276,"not_listed_spam_title":0,"listed":1816,"listed_where_code_ran":276,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":240,"every_run_a_failure_of_syntologys_instrument":36,"listed_with_a_run_with_no_instrument_failure":240,"listed_every_run_a_failure_of_syntologys_instrument":36,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/hallucination","prev":"/task/hallucination/papers/18","next":null,"papers":[{"url":null,"slug":"stacking-with-auxiliary-features-for-entity","title":"Stacking With Auxiliary Features for Entity Linking in the Medical Domain","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/hallucinating-very-low-resolution-unaligned","slug":"hallucinating-very-low-resolution-unaligned","title":"Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"random-sampling-for-fast-face-sketch","title":"Random Sampling for Fast Face Sketch Synthesis","date":"2017-01-08","arxiv_id":"1701.01911","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-joint-face-hallucination-and-recognition","title":"Deep Joint Face Hallucination and Recognition","date":"2016-11-24","arxiv_id":"1611.08091","repositories_listed":0,"syntology":null},{"url":null,"slug":"not-afraid-of-the-dark-nir-vis-face","title":"Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding","date":"2016-11-21","arxiv_id":"1611.06638","repositories_listed":0,"syntology":null},{"url":"/paper/deep-identity-aware-transfer-of-facial","slug":"deep-identity-aware-transfer-of-facial","title":"Deep Identity-aware Transfer of Facial Attributes","date":"2016-10-18","arxiv_id":"1610.05586","repositories_listed":0,"syntology":null},{"url":"/paper/deep-cascaded-bi-network-for-face","slug":"deep-cascaded-bi-network-for-face","title":"Deep Cascaded Bi-Network for Face Hallucination","date":"2016-07-18","arxiv_id":"1607.05046","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-side-information-through","title":"Learning With Side Information Through Modality Hallucination","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"global-local-face-upsampling-network","title":"Global-Local Face Upsampling Network","date":"2016-03-23","arxiv_id":"1603.07235","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-hallucination-using-linear-models-of","title":"Face Hallucination using Linear Models of Coupled Sparse Support","date":"2015-12-18","arxiv_id":"1512.06009","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-multi-image-based-blind-face","title":"Robust Multi-Image Based Blind Face Hallucination","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-feature-point-detection-a","title":"Facial Feature Point Detection: A Comprehensive Survey","date":"2014-10-04","arxiv_id":"1410.1037","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-constitution-of-visual-perceptual-units","title":"The constitution of visual perceptual units in the functional architecture of V1","date":"2014-06-02","arxiv_id":"1406.0289","repositories_listed":0,"syntology":null},{"url":null,"slug":"patch-to-the-future-unsupervised-visual","title":"Patch to the Future: Unsupervised Visual Prediction","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-face-hallucination","title":"Structured Face Hallucination","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-convex-approach-for-image-hallucination","title":"A Convex Approach for Image Hallucination","date":"2013-04-26","arxiv_id":"1304.7153","repositories_listed":0,"syntology":null}],"record_sha256":"feeb74301350cf9b20eb2f1ce29a3b05e9e14ff02216872a10375297069fb896","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}