{"as_of":"2026-08-13T00:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18a2861a19ca9048ea8fb0046a608900b5c59b68915fab9fb6a49151e3e4482a","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:27:59.494961Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-25T08:10:31.559517Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems","version":4},"cited_work":{"arxiv_id":"2001.00888","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2001.00888","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards scalable dataframe systems","venue":null,"work_id":"c7800c3b-3711-4ff7-ac98-0b26827e22a5","year":2001},"citing_paper":{"arxiv_id":"2505.04080","last_updated":"2026-05-22T02:05:43Z","snapshot_observed_at":"2026-07-06T21:20:08.242976Z","submitted_at":"2025-05-07T02:42:05Z","title":"MojoFrame: Dataframe Library in Mojo Language","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T08:06:52.192881Z"},"links":{"cited_paper":"/paper/2001.00888","citing_paper":"/paper/2505.04080"},"observation_digest":"sha256:a5edabcf7279883bfea8bc2208f87f9ada6b0f787ef4f8217ff89cd43d070187","observation_id":"e2191a24-e3ea-440e-80db-34a5ed8a3cce","resolution":{"observed_at":"2026-05-25T08:10:31.562710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00888","snapshot_observed_at":"2026-08-06T23:27:59.494961Z","title":"Petersohn, W","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2506.18252","last_updated":"2025-06-23T02:45:43Z","snapshot_observed_at":"2026-08-09T04:43:55.344010Z","submitted_at":"2025-06-23T02:45:43Z","title":"Learning Lineage Constraints for Data Science Operations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:59.494961Z"},"links":{"cited_paper":"/paper/2001.00888","citing_paper":"/paper/2506.18252"},"observation_digest":"sha256:5f1cffb44db736b26af79cf478ca0365d2248e4b73f8f918b5d96b17862f1a13","observation_id":"cb015f7b-138c-4ce5-a574-4a731da67245","resolution":{"observed_at":"2026-08-06T23:27:59.494961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00888","snapshot_observed_at":"2026-08-06T23:27:45.288239Z","title":"Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18255","last_updated":"2025-06-23T02:56:39Z","snapshot_observed_at":"2026-08-06T23:20:44.904181Z","submitted_at":"2025-06-23T02:56:39Z","title":"Fast Capture of Cell-Level Provenance in Numpy","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:45.288239Z"},"links":{"cited_paper":"/paper/2001.00888","citing_paper":"/paper/2506.18255"},"observation_digest":"sha256:a16c248657a060596b76caafce51e02d17c7d18d47774173bebc1730000ae0f4","observation_id":"895570e0-7e88-4005-90bb-0fd074d868d7","resolution":{"observed_at":"2026-08-06T23:27:45.288239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00888","snapshot_observed_at":"2026-08-06T23:25:14.912675Z","title":"Gonzalez, Joseph M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18257","last_updated":"2025-06-23T03:05:31Z","snapshot_observed_at":"2026-08-12T12:31:55.603629Z","submitted_at":"2025-06-23T03:05:31Z","title":"TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:25:14.912675Z"},"links":{"cited_paper":"/paper/2001.00888","citing_paper":"/paper/2506.18257"},"observation_digest":"sha256:b95bccc712aaf609bcf93c1cce28e76c89e025f7d051d43695c3220c79b54ee0","observation_id":"60d69ce1-d899-450f-9017-2cf2aa415f88","resolution":{"observed_at":"2026-08-06T23:25:14.912675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.00888","snapshot_observed_at":"2026-08-05T22:35:18.593200Z","title":"Gonzalez, Joseph M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.06814","last_updated":"2025-08-09T04:22:30Z","snapshot_observed_at":"2026-08-10T18:04:26.412758Z","submitted_at":"2025-08-09T04:22:30Z","title":"Metadata Management for AI-Augmented Data Workflows","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:35:18.593200Z"},"links":{"cited_paper":"/paper/2001.00888","citing_paper":"/paper/2508.06814"},"observation_digest":"sha256:ebdb501ea5d423bf370ce2b6f9f1c7d2d036a8c894a942c67446f6dc75056094","observation_id":"b0bdead5-c45a-45d1-a2f4-9f0e652b3db0","resolution":{"observed_at":"2026-08-05T22:35:18.593200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2001.00888/citation-record","integrity":"/paper/2001.00888/integrity","json":"/paper/2001.00888/citation-record.json","paper":"/paper/2001.00888"},"outbound":[],"paper":{"arxiv_id":"2001.00888","last_updated":"2020-06-02T16:14:04Z","latest_version":4,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-09T01:38:26.592251Z","submitted_at":"2020-01-03T16:56:55Z","title":"Towards Scalable Dataframe Systems"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2001.00888."}