{"as_of":"2026-08-20T08:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:95edf89725bd9b9faeb8cb10abc1171618fab377512e14c167b08f6f8654616d","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:37:32.713825Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.15080/citation-record","integrity":"/paper/2504.15080/integrity","json":"/paper/2504.15080/citation-record.json","paper":"/paper/2504.15080"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.377337Z","title":"Demystifying parallel and distributed deep learning: An in-depth concurrency analysis,","venue":null,"work_id":"a485e078-bf32-44be-9b63-56156ca195dd","year":2019},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.538108Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:c6543bfbbfca155f224d3e42179ed1ee862c650f80b3ee5a2d1759296fc11576","observation_id":"45cbc7a9-ae87-406c-968d-0d027ed6e1d3","resolution":{"observed_at":"2026-08-16T11:37:33.381747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.542769Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.542769Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:0be5bef5b565e9d2702efbe52cd01059f0c88f1c6dec074352b355cd885bd62c","observation_id":"7c327a23-ec50-4b19-9e59-a2de6779b13b","resolution":{"observed_at":"2026-08-16T11:37:32.542769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.354503Z","title":"Deep learning for computer vision: A brief review,","venue":null,"work_id":"26161172-0e90-43c6-bd12-5f5c58ffe255","year":2018},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.546864Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:795c927a347bee91996006a54025963566f0af7bc6c553c311139e8ae3934e3b","observation_id":"005cca43-d642-47fc-9393-4aaf59b851e5","resolution":{"observed_at":"2026-08-16T11:37:33.358793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.340881Z","title":"Recent trends in deep learning based natural language processing,","venue":null,"work_id":"d788e122-b8c0-43b0-95be-576a582c6cfa","year":2018},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.551031Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:f6edbecc86dcfa88900bafb078608198f83fb4e87f9b9d73420e6021b9982c0d","observation_id":"d12374dc-c935-40bd-b076-7d6823ebff28","resolution":{"observed_at":"2026-08-16T11:37:33.345370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.327380Z","title":"Large language models for software engineer- ing: A systematic literature review,","venue":null,"work_id":"0ad54c1b-fe1f-4a5a-afef-a6aa9e60b98e","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.555133Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:f22bfa3ef848912268a22c32894fb130ea36023f20b2518914c0aae348399760","observation_id":"647edb0a-5370-4074-baa8-b1e510d29244","resolution":{"observed_at":"2026-08-16T11:37:33.332037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.312759Z","title":"Competition-level code generation with alphacode,","venue":null,"work_id":"5c2398fb-23c5-48f2-bfc1-8f977cfcbb78","year":2022},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.559724Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:32859988ac23ecfa12b28f68910b9690660519b653f9973e0b60d264eaca84d6","observation_id":"f3d2f580-2c21-4695-b6f2-fceccba5fc70","resolution":{"observed_at":"2026-08-16T11:37:33.317644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.298221Z","title":"Multi-task learning based pre-trained language model for code completion,","venue":null,"work_id":"dd360bcb-ed13-40d8-bca0-0ba14346b8ce","year":2020},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.564175Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:76a707b617db8231597f42f4ea43e27f84be74084e4c0876b2f7b618ca952ff6","observation_id":"ba577580-2e8a-4d09-bf9b-f526a77177d1","resolution":{"observed_at":"2026-08-16T11:37:33.302705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.284104Z","title":"Intellicode compose: code generation using transformer,","venue":null,"work_id":"a0c8d374-7076-4058-9043-2ea62bb78c66","year":2020},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.568125Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:08bad99bba18b4c2acf614577c333cdbfdc425422c5f5a3258a9ca917ce7a4c9","observation_id":"e9f334f7-969a-4e16-9f5f-a1113ec1ee62","resolution":{"observed_at":"2026-08-16T11:37:33.288525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.269990Z","title":"Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,","venue":null,"work_id":"bef493c4-22cb-4d0d-b3e7-d908c91e4b19","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.572084Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:54a5e7f8ea183719f3a64e7b236438e6fd3a672d4daf350aba3def366cf53156","observation_id":"d84e982b-6dd1-4293-9a61-323221e500d2","resolution":{"observed_at":"2026-08-16T11:37:33.274544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.256323Z","title":"Self-collaboration code generation via chatgpt,","venue":null,"work_id":"506340b3-bc4f-4288-9e33-d7cf9f592c00","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.575943Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:80a6976cdce6c68e00aa5bf40217a29a7fa0a69522cedaffe83cb1432b7f075d","observation_id":"d5e5c01e-1ec0-41d4-8628-dff41a7fae98","resolution":{"observed_at":"2026-08-16T11:37:33.260790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.241997Z","title":"Codereval: A benchmark of pragmatic code generation with generative pre-trained models,","venue":null,"work_id":"14d81f73-ea62-4997-b7f9-ae46ba313abb","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.579949Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:5142af894851e0e0d21b48e9ed1bdd8e7edf1a0219f618a909e5cb07e0e1cd96","observation_id":"a915aa54-f9f4-4974-994b-d99d4197aa93","resolution":{"observed_at":"2026-08-16T11:37:33.246642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07529","last_updated":"2024-11-12T04:01:09Z","snapshot_observed_at":"2026-08-16T13:00:56.637981Z","submitted_at":"2024-11-12T04:01:09Z","title":"Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis","version":1},"cited_work":{"arxiv_id":"2411.07529","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.07529","snapshot_observed_at":"2026-08-16T11:37:32.939544Z","title":"Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis","venue":"cs.SE","work_id":"4bcc4662-b3b6-47a0-95f4-1ac693170619","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.583914Z"},"links":{"cited_paper":"/paper/2411.07529","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:124cc513d38ff28cbf2fa93212a15f082ffb1359d766b0ddc665f688a20697f1","observation_id":"fb1517dc-0046-48c0-89ae-21f21cd6dbae","resolution":{"observed_at":"2026-08-16T11:37:32.944573Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.588192Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.588192Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:984da228d269e2361dba0600008647cb2a3cd698dc6f7d726a65cf49beb6c439","observation_id":"7e30e3a5-9f82-4af2-84e7-5889165a91ac","resolution":{"observed_at":"2026-08-16T11:37:32.588192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.218588Z","title":"Structured chain-of-thought prompting for code generation,","venue":null,"work_id":"4ca1b9ca-88e3-4230-b615-378010b4254d","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.592678Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:d7d15de5e385a7fb27c160c4c68ac3d6fb9bcbf22c7fee5fb5ec0ec87a9962db","observation_id":"0db185f1-d95a-437b-8590-6822264c6aa4","resolution":{"observed_at":"2026-08-16T11:37:33.223564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.596711Z","title":"Automatic chain of thought prompting in large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.596711Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:ecb46b3084848a7fc2b34371e5ba6c34c8b12bb9fb4b99c776b7a9ed4718b7d1","observation_id":"abfd8f52-69ad-4f9e-a33c-d1025fde4dd4","resolution":{"observed_at":"2026-08-16T11:37:32.596711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.600587Z","title":"Self-planning code generation with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.600587Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:76f0eb82af84309c87af0d8671382844bedb2afe2902221f52876c67156a04c0","observation_id":"b9f99e75-58d7-4069-88d3-3d2b1abde399","resolution":{"observed_at":"2026-08-16T11:37:32.600587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.184722Z","title":"Retrieval-augmented generation for knowledge-intensive NLP tasks,","venue":null,"work_id":"4cc87ea3-0b0e-4a32-88d6-fdb35a83078f","year":2020},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.604672Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:458f82c58efb1b1deba199e985b570ff72c12418951a42314760e7c4284f76de","observation_id":"955aef85-0c17-4cc8-9fde-c9734315d44e","resolution":{"observed_at":"2026-08-16T11:37:33.189426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.170350Z","title":"The WEKA data mining software: an update,","venue":null,"work_id":"78a2cb70-47e2-4264-b484-167500c86d7f","year":2009},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.608650Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:05012ed00a7515f23e066fda901187a47f0461aca98433fe9c373ea794c7ae72","observation_id":"374cd4a1-02d5-40c2-811c-ce1a579f40a5","resolution":{"observed_at":"2026-08-16T11:37:33.174877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.155720Z","title":"Dash: A low code development platform for AI applications in industry,","venue":null,"work_id":"fbcf50dc-45c8-4f48-87e9-eed1bfcefbdc","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.612618Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:9832d538fbdd8c4dbeed01cc7491c2b31537d4d04f57549d0617ca37c062167c","observation_id":"e393146a-7cdc-4738-b1de-c9ccfa01a780","resolution":{"observed_at":"2026-08-16T11:37:33.160583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05432","last_updated":"2020-02-13T10:42:39Z","snapshot_observed_at":"2026-07-06T08:56:59.280077Z","submitted_at":"2020-02-13T10:42:39Z","title":"The PHOTON Wizard -- Towards Educational Machine Learning Code Generators","version":1},"cited_work":{"arxiv_id":"2002.05432","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.05432","snapshot_observed_at":"2026-08-16T11:37:32.919568Z","title":"The PHOTON Wizard -- Towards Educational Machine Learning Code Generators","venue":"cs.SE","work_id":"5c9ea055-7c6f-4c0e-ab6a-9c7be763fbc4","year":2020},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.616554Z"},"links":{"cited_paper":"/paper/2002.05432","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:6a07bb9362c6cb7fbb3b5017841ef3f792371c898ba2d73e7202686408759fe7","observation_id":"3c323bf7-4ff8-4e46-84ee-b79be4fa301e","resolution":{"observed_at":"2026-08-16T11:37:32.924208Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.140920Z","title":"AI for low-code for AI,","venue":null,"work_id":"089def6d-de86-4856-a1b8-f660de07e997","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.620872Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:e61ede73743c61905323cc520adcfa9df4652beb518b48e3ccb5fde8b0d15b6a","observation_id":"ba69c3e9-0d04-487e-87f8-074a1c1e01f9","resolution":{"observed_at":"2026-08-16T11:37:33.145579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03727","last_updated":"2024-09-09T15:04:15Z","snapshot_observed_at":"2026-08-19T13:45:44.586375Z","submitted_at":"2024-05-06T08:09:46Z","title":"Large Language Models Synergize with Automated Machine Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03727","snapshot_observed_at":"2026-08-16T11:37:32.625288Z","title":"Large language models synergize with automated machine learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.625288Z"},"links":{"cited_paper":"/paper/2405.03727","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:3b0c3c1434cdcc8e44bf24f512f33fab208e6273c75dca1cdd9a291737f4de4c","observation_id":"43e1aeeb-058e-4f1a-bf9b-f197aff62b2f","resolution":{"observed_at":"2026-08-16T11:37:32.625288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10478","last_updated":"2024-12-25T16:38:51Z","snapshot_observed_at":"2026-08-18T23:47:08.341189Z","submitted_at":"2024-11-11T21:54:26Z","title":"Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10478","snapshot_observed_at":"2026-08-16T11:37:32.629754Z","title":"Large language models for constructing and optimizing machine learning workflows: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.629754Z"},"links":{"cited_paper":"/paper/2411.10478","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:10088dc13f27b76ca90a24e611e43e8e8e6d20daa6975a933a2afa2046a5c214","observation_id":"ea659a7f-dae2-4398-8ce6-edfb9c575885","resolution":{"observed_at":"2026-08-16T11:37:32.629754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02499","last_updated":"2023-05-04T02:09:43Z","snapshot_observed_at":"2026-08-19T18:23:30.383129Z","submitted_at":"2023-05-04T02:09:43Z","title":"AutoML-GPT: Automatic Machine Learning with GPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02499","snapshot_observed_at":"2026-08-16T11:37:32.634842Z","title":"Automl-gpt: Automatic machine learning with GPT,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.634842Z"},"links":{"cited_paper":"/paper/2305.02499","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:e1f5cf5376a7f168b172ed9809a7418575cab44beb5b2128ecbe4de0465de8c3","observation_id":"5e24689a-1ca5-4c3d-b422-9ee65a0e7185","resolution":{"observed_at":"2026-08-16T11:37:32.634842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.126993Z","title":"Mlcopilot: Unleashing the power of large language models in solving machine learning tasks,","venue":null,"work_id":"0713c241-29bf-4d18-9efb-5a137fb34130","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.639177Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:b0c552b3f8063353c0d1974b9a85aa3681ef9af43ddee677178613344e48c08f","observation_id":"e3636e0f-8482-42a5-9155-f51b39ba5265","resolution":{"observed_at":"2026-08-16T11:37:33.131477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.643330Z","title":"Hugginggpt: Solving AI tasks with chatgpt and its friends in hugging face,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.643330Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:17796f6ced4eb11ab2eeb9eb42296518793b300a69a77f6a0e90924e32d9c2ca","observation_id":"00095c26-e795-4416-9558-2225137b1728","resolution":{"observed_at":"2026-08-16T11:37:32.643330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.103058Z","title":"Plan- and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,","venue":null,"work_id":"dbfd3e1d-3260-44bc-8b43-127538e91c0a","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.647451Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:a57bf4fe246993c815a0a90044d9a1e6910ae89f1e8a5b7881ac4554cad99993","observation_id":"173b0a75-afc6-4e97-b141-493acbc88d64","resolution":{"observed_at":"2026-08-16T11:37:33.107753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.651486Z","title":"Debug like a human: A large language model debugger via verifying runtime execution step by step,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.651486Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:e811b955acecc3412158433d3c8a8eb988186681e58b3cadfbbb7473d2eadfac","observation_id":"9c0bc9ff-6f78-4ce5-987c-3b524c1e1afc","resolution":{"observed_at":"2026-08-16T11:37:32.651486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02907","last_updated":"2023-06-05T14:12:46Z","snapshot_observed_at":"2026-08-18T05:17:30.297940Z","submitted_at":"2023-06-05T14:12:46Z","title":"SelfEvolve: A Code Evolution Framework via Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02907","snapshot_observed_at":"2026-08-16T11:37:32.655568Z","title":"Selfevolve: A code evolution frame- work via large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.655568Z"},"links":{"cited_paper":"/paper/2306.02907","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:a7acb65dea4b949a4629c9882e032cf48cff815878525ee2ee69629a4f538bdd","observation_id":"eccd9d01-8912-4861-aefe-709c8081a2a1","resolution":{"observed_at":"2026-08-16T11:37:32.655568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-08-16T12:38:46.158503Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01219","snapshot_observed_at":"2026-08-16T11:37:32.660093Z","title":"Siren’s song in the AI ocean: A survey on hallucination in large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.660093Z"},"links":{"cited_paper":"/paper/2309.01219","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:55e879c83aebd376f682d6d187baff08fda8e134a060ea65a2ed1ad99d636743","observation_id":"5a868ac6-baf2-4fb4-968d-b3b490a5f8dd","resolution":{"observed_at":"2026-08-16T11:37:32.660093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.078077Z","title":"Towards continual knowledge learning of language models,","venue":null,"work_id":"4b2166e1-30d5-451e-ab2e-e4e7fef1b4af","year":2022},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.664399Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:c77af05360dad769d3efa1f597d207a411b1dcb690f18425483553635c08c68e","observation_id":"11672e35-d089-42af-83c5-da19d38fb600","resolution":{"observed_at":"2026-08-16T11:37:33.082709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.063461Z","title":"Retrieval augmented code generation and summarization,","venue":null,"work_id":"67974da1-09af-4b50-9910-333ea29c1ca2","year":2021},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.668417Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:1cfba34a5cae078114763343272b5af3822b770e2973f1d58de584a6e9e0b643","observation_id":"f368b7d2-3e36-42ca-96b1-321a9ebb8b97","resolution":{"observed_at":"2026-08-16T11:37:33.068089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.047568Z","title":"Reacc: A retrieval-augmented code completion framework,","venue":null,"work_id":"16c9c5cc-a73c-47d4-8f7b-1a439c2e39ba","year":2022},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.672410Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:4601bb3779bbcf6d9625d9837dd6f4f349a97f800159a2e25b6de9a0639b5a49","observation_id":"42e62a6d-cdaa-4c47-be1f-2b3b510fba13","resolution":{"observed_at":"2026-08-16T11:37:33.053195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.033101Z","title":"Retrieval-based prompt selec- tion for code-related few-shot learning,","venue":null,"work_id":"c8e6024a-0b81-4233-a7d4-e18d04147dcc","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.676522Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:3622be6d6f49326134d7e6ba88dcc4563191658a7ade516071e5d78db09aa5ac","observation_id":"67403206-8e1b-4786-b947-5e4b68df26b2","resolution":{"observed_at":"2026-08-16T11:37:33.037687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:33.018936Z","title":"Docprompting: Generating code by retrieving the docs,","venue":null,"work_id":"e0c6e667-86b6-4197-b682-4c8fcef7051e","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.680515Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:2830d78522acb7df5d3a7dc39fbb5714668d9d4838cfc4b715daa2e3e1aab39d","observation_id":"858267b2-232c-439e-83c1-827874cbe73b","resolution":{"observed_at":"2026-08-16T11:37:33.023562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.684567Z","title":"Okapi at trec-3,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.684567Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:16e565ad3a7b01c91074185b2e7ab8820d97e415759a44b0ee1e4a4ccadd554c","observation_id":"f9d226e8-cfe2-431b-816e-b905d896a385","resolution":{"observed_at":"2026-08-16T11:37:32.684567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.995417Z","title":"Learning by thinking in natural and artificial minds,","venue":null,"work_id":"197ad2ea-a5a5-4c56-8a7a-438fc09b04ff","year":2024},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.688560Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:27b25aa7c392e2e95d189f5b67493f88c2c3ea1b54334345596eaa30c4c44e45","observation_id":"e4c372d3-c85c-4fba-99f5-63b4038b55e1","resolution":{"observed_at":"2026-08-16T11:37:33.000089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.10297","last_updated":"2020-09-27T04:07:11Z","snapshot_observed_at":"2026-08-12T14:26:33.940158Z","submitted_at":"2020-09-22T03:10:49Z","title":"CodeBLEU: a Method for Automatic Evaluation of Code Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.10297","snapshot_observed_at":"2026-08-16T11:37:32.692826Z","title":"Codebleu: a method for automatic evaluation of code synthesis,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.692826Z"},"links":{"cited_paper":"/paper/2009.10297","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:fe40f2fc19188b547b5f259e87360dc89128603a3c8ed4e0fb483f328ba79858","observation_id":"609f597d-82fd-4ced-b07a-a1734188ec82","resolution":{"observed_at":"2026-08-16T11:37:32.692826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.979519Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":"b9a5861a-9e73-4322-b172-8aaf2f693fdc","year":2002},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.697133Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:c7212636faf90c2b58ad28b29da3a0d6135d3e56c3d7ac2452786e1591381552","observation_id":"1452f4c2-0deb-4dbc-9cc1-155a81b50672","resolution":{"observed_at":"2026-08-16T11:37:32.985067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.964687Z","title":"Infere: Step-by-step regex generation via chain of inference,","venue":null,"work_id":"78108e96-82b9-4d94-9318-0f8c04257f07","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.701364Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:8d0bb44f1877c09737e6a88e848d95176f13b1e6f60f61a1a90dfd4f554385df","observation_id":"94d84692-72fd-4fd2-a13d-d35219fcf6e0","resolution":{"observed_at":"2026-08-16T11:37:32.969472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16433","last_updated":"2023-05-25T19:15:06Z","snapshot_observed_at":"2026-08-16T15:29:34.199568Z","submitted_at":"2023-05-25T19:15:06Z","title":"Neural Machine Translation for Mathematical Formulae","version":1},"cited_work":{"arxiv_id":"2305.16433","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.16433","snapshot_observed_at":"2026-08-16T11:37:32.812677Z","title":"Neural Machine Translation for Mathematical Formulae","venue":"cs.CL","work_id":"918208bc-2e95-4999-9c43-205e83fcd3b8","year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.705403Z"},"links":{"cited_paper":"/paper/2305.16433","citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:637af81e6d6335a02b78447354fef4953b5ccdd4961028ae3f8807ec229e8f0a","observation_id":"ceb5a43e-1407-4a9b-858c-08849e4b5ca2","resolution":{"observed_at":"2026-08-16T11:37:32.819332Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.709771Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.709771Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:bdd6322e4293f236d275c736ef290948fa865376b9d3e14a8e0ddb095dfcf3a4","observation_id":"1115c13f-6410-4508-ab1d-c0dbdc47110c","resolution":{"observed_at":"2026-08-16T11:37:32.709771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:37:32.713825Z","title":"Meta kaggle code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T11:37:32.713825Z"},"links":{"citing_paper":"/paper/2504.15080"},"observation_digest":"sha256:aba4e90eeea2c3bfd37b4ee7e19bdf92e3c79dbe713d326307d4283f97c1d460","observation_id":"5bd96fce-6d0b-42f7-b490-772470ef2ed3","resolution":{"observed_at":"2026-08-16T11:37:32.713825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.15080","last_updated":"2025-04-21T13:09:25Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-17T17:04:59.308011Z","submitted_at":"2025-04-21T13:09:25Z","title":"Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":3,"verified_fuzzy":25},"total_outbound_references":43},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2504.15080."}