{"as_of":"2026-08-14T07:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cca60d89819ecbb30201928ab75ad0c6a89880e01eea076dc021b3b03aa500e1","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:15:42.041812Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-07T14:15:42.041812Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automa- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19443","last_updated":"2025-05-26T03:00:21Z","snapshot_observed_at":"2026-08-07T14:11:48.229560Z","submitted_at":"2025-05-26T03:00:21Z","title":"Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:42.041812Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2505.19443"},"observation_digest":"sha256:3096c6b5dbfbe01df8494e301c0d4fd0aede66df2cbfe3fee60bc6c441057647","observation_id":"94944e49-271f-4d95-bf27-d11cf462d1ab","resolution":{"observed_at":"2026-08-07T14:15:42.041812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2509.21465","last_updated":"2026-05-15T11:35:18Z","snapshot_observed_at":"2026-08-12T18:30:21.830290Z","submitted_at":"2025-09-25T19:30:39Z","title":"Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T22:05:11.146329Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2509.21465"},"observation_digest":"sha256:33f92e602528f5da1c0358ce1f5fdc63e8738a0a37d8422d5c34431dcc55acff","observation_id":"4f36a565-35f1-4b2c-b83a-fe0cb8a87127","resolution":{"observed_at":"2026-05-21T22:05:41.521862Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-02T23:25:33.044396Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13937","last_updated":"2026-05-30T01:57:59Z","snapshot_observed_at":"2026-08-09T21:47:04.448548Z","submitted_at":"2026-02-15T00:20:58Z","title":"iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T23:25:33.044396Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2602.13937"},"observation_digest":"sha256:f4644eff3f749cdf774e3708a7d5e5d490b4a80b19dc04f8a284834623cebf90","observation_id":"06f2b93d-0937-4a4a-9412-a55b5b24f158","resolution":{"observed_at":"2026-08-02T23:25:33.044396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-12T09:41:23.522562Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-10T11:59:05.907000Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:bf4140f728c21952a8ba097347d3956738d30a7979e0463379727a25f4cff64a","observation_id":"c1b0146c-41ba-4ffc-b07d-83e9b14762c0","resolution":{"observed_at":"2026-05-10T12:00:20.982828Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2604.14655","last_updated":"2026-05-11T06:17:04Z","snapshot_observed_at":"2026-08-12T09:41:23.522562Z","submitted_at":"2026-04-16T06:03:45Z","title":"AgentGA: Evolving Code Solutions in Agent-Seed Space","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-12T04:13:02.212804Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2604.14655"},"observation_digest":"sha256:a418e1729ec4b49d212182f5d6c1bb49e794b3e90f6ee7d25f95a0e3a639845b","observation_id":"22a3c8af-78ee-444e-8090-c5c254a97dbb","resolution":{"observed_at":"2026-05-12T04:16:20.182473Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2605.10906","last_updated":"2026-05-13T04:12:44Z","snapshot_observed_at":"2026-08-12T16:37:53.581742Z","submitted_at":"2026-05-11T17:46:24Z","title":"DataMaster: Data-Centric Autonomous AI Research","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T04:09:40.731228Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2605.10906"},"observation_digest":"sha256:f4214f0c92c7847a22b580bfe17bad8fb1cc0ce6247fbbb85780a8a13b9e45ff","observation_id":"6ba83882-6130-451b-956a-4dc2a37f937f","resolution":{"observed_at":"2026-05-12T06:36:24.883075Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2605.10906","last_updated":"2026-05-13T04:12:44Z","snapshot_observed_at":"2026-08-12T16:37:53.581742Z","submitted_at":"2026-05-11T17:46:24Z","title":"DataMaster: Data-Centric Autonomous AI Research","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-14T21:11:22.202161Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2605.10906"},"observation_digest":"sha256:f181851c6e2b051cda9e64f320fcfa38d51e0740896bc3681a21e222cb51457f","observation_id":"52f84ab3-13bb-4f94-b5b6-1412e86e0e70","resolution":{"observed_at":"2026-05-14T21:12:59.165683Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":"2505.13941","doi":"10.48550/arxiv.2505.13941","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mlzero: A multi-agent system for end-to-end machine learning automation.arXiv preprint, (2505.13941)","venue":"ArXiv.org","work_id":"66eec987-37a1-4545-b4f4-ed6b2db1999d","year":2025},"citing_paper":{"arxiv_id":"2606.06473","last_updated":"2026-06-04T17:55:59Z","snapshot_observed_at":"2026-08-01T19:37:15.448610Z","submitted_at":"2026-06-04T17:55:59Z","title":"MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T00:57:02.959467Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2606.06473"},"observation_digest":"sha256:a659d7ac051d194ada5372c5458ef77d7bb669907a3014d438a666a7c6b44450","observation_id":"68d9ebc9-c333-422f-9276-5f7102ba9f2e","resolution":{"observed_at":"2026-07-02T13:46:59.838227Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13941","snapshot_observed_at":"2026-07-31T01:39:46.815411Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25090","last_updated":"2026-07-27T21:30:39Z","snapshot_observed_at":"2026-08-13T16:20:37.136961Z","submitted_at":"2026-07-27T21:30:39Z","title":"Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-31T01:39:46.815411Z"},"links":{"cited_paper":"/paper/2505.13941","citing_paper":"/paper/2607.25090"},"observation_digest":"sha256:27d67d29b483d7c4c22d793182ebbd86402c487ed75bb6efdd73cc268ab5a346","observation_id":"9043af6a-881e-4ff4-b319-2427ec7f6644","resolution":{"observed_at":"2026-07-31T01:39:46.815411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.13941/citation-record","integrity":"/paper/2505.13941/integrity","json":"/paper/2505.13941/citation-record.json","paper":"/paper/2505.13941"},"outbound":[],"paper":{"arxiv_id":"2505.13941","last_updated":"2025-05-20T05:20:53Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-07T15:42:14.767327Z","submitted_at":"2025-05-20T05:20:53Z","title":"MLZero: A Multi-Agent System for End-to-end Machine Learning Automation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2505.13941."}