{"as_of":"2026-08-07T23:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:315bbef18465bb66037c8a89f3d86daffc4c7d3117872144d7c5a4ec03731e6a","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:09:28.255290Z","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":24,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-07T15:09:28.255290Z","title":"Macro f1 and macro f1,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.16220","last_updated":"2025-05-22T04:44:20Z","snapshot_observed_at":"2026-08-07T15:02:59.208526Z","submitted_at":"2025-05-22T04:44:20Z","title":"Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:09:28.255290Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2505.16220"},"observation_digest":"sha256:2ca8774ffddd4dad95be7749082113c87e1bc0d6a196e3691c07f85cb7361268","observation_id":"e3d2a4c4-9b03-44b0-abf8-b2b9e54f1dee","resolution":{"observed_at":"2026-08-07T15:09:28.255290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T10:23:10.249063Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.04182","last_updated":"2025-09-04T12:58:37Z","snapshot_observed_at":"2026-08-06T02:00:47.429026Z","submitted_at":"2025-09-04T12:58:37Z","title":"Joint Modeling of Entities and Discourse Relations for Coherence Assessment","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T10:23:10.249063Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2509.04182"},"observation_digest":"sha256:d0272d4d5c0cfd826f1f0e68191cf78b2337ab3251f32a02510dfda91269f810","observation_id":"844487f4-197e-4c87-8e5d-9b553207c07a","resolution":{"observed_at":"2026-08-05T10:23:10.249063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":"1911.03347","doi":"10.48550/arxiv.1911.03347","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Macro f1 and macro f1","venue":"arXiv (Cornell University)","work_id":"5b409d5b-2202-4ec1-a92f-60404e15c5cf","year":2019},"citing_paper":{"arxiv_id":"2605.00618","last_updated":"2026-05-01T12:41:00Z","snapshot_observed_at":"2026-08-02T08:06:50.883100Z","submitted_at":"2026-05-01T12:41:00Z","title":"Is Textual Similarity Invariant under Machine Translation? Evidence Based on the Political Manifesto Corpus","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-09T19:29:17.346870Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2605.00618"},"observation_digest":"sha256:4b3f067796914477d56badb3d1f05006cb47743cd7d2e42fce6a014417138035","observation_id":"7ebff7c4-8525-4c78-9cdf-de0e9ceaac15","resolution":{"observed_at":"2026-05-11T15:41:20.175246Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":"1911.03347","doi":"10.48550/arxiv.1911.03347","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Macro f1 and macro f1","venue":"arXiv (Cornell University)","work_id":"5b409d5b-2202-4ec1-a92f-60404e15c5cf","year":2019},"citing_paper":{"arxiv_id":"2605.09703","last_updated":"2026-05-10T18:51:34Z","snapshot_observed_at":"2026-08-03T00:51:48.886685Z","submitted_at":"2026-05-10T18:51:34Z","title":"MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T02:50:10.046572Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2605.09703"},"observation_digest":"sha256:711f4e30cc408c6500b55c4660d1df420b17fdfb54b650e64122e8fc3be066ce","observation_id":"5ec3f273-3d29-4c1e-8cf3-688c0c74a58c","resolution":{"observed_at":"2026-05-12T02:51:17.696867Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":"1911.03347","doi":"10.48550/arxiv.1911.03347","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Macro f1 and macro f1","venue":"arXiv (Cornell University)","work_id":"5b409d5b-2202-4ec1-a92f-60404e15c5cf","year":2019},"citing_paper":{"arxiv_id":"2606.00461","last_updated":"2026-05-30T00:55:47Z","snapshot_observed_at":"2026-08-06T14:31:45.429136Z","submitted_at":"2026-05-30T00:55:47Z","title":"An explainable hierarchical self attention-based approach for tremor detection in the time domain","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T19:17:30.331426Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2606.00461"},"observation_digest":"sha256:5f1d75661af3479ac7473ac67296a28073dddfa0178f37851cca41322aad80f4","observation_id":"b764c7f0-3143-4231-8877-eb624e02b4e8","resolution":{"observed_at":"2026-06-28T19:22:34.055742Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":"1911.03347","doi":"10.48550/arxiv.1911.03347","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Macro f1 and macro f1","venue":"arXiv (Cornell University)","work_id":"5b409d5b-2202-4ec1-a92f-60404e15c5cf","year":2019},"citing_paper":{"arxiv_id":"2606.26986","last_updated":"2026-06-25T12:59:53Z","snapshot_observed_at":"2026-08-02T03:45:27.702948Z","submitted_at":"2026-06-25T12:59:53Z","title":"ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-06-26T05:05:45.360164Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2606.26986"},"observation_digest":"sha256:259c4dd39c5fbcd0192ee91339a46139a9d62d2f53a489bab2aa9f53459707be","observation_id":"ded20940-9363-4903-8bb0-1911786956a2","resolution":{"observed_at":"2026-07-04T13:39:50.376252Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03347","snapshot_observed_at":"2026-08-05T13:58:46.422263Z","title":"Macro f1 and macro f1,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.03737","last_updated":"2026-08-04T14:30:55Z","snapshot_observed_at":"2026-08-07T22:13:06.638823Z","submitted_at":"2026-08-04T14:30:55Z","title":"Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T13:58:46.422263Z"},"links":{"cited_paper":"/paper/1911.03347","citing_paper":"/paper/2608.03737"},"observation_digest":"sha256:b27422dbdce9dc3f6713763dcd1c1fe4f460d8dcb0375590a6c7a86fdb53129a","observation_id":"bb32d91e-6f11-4e4b-8a6a-374fd32ea54a","resolution":{"observed_at":"2026-08-05T13:58:46.422263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1911.03347/citation-record","integrity":"/paper/1911.03347/integrity","json":"/paper/1911.03347/citation-record.json","paper":"/paper/1911.03347"},"outbound":[],"paper":{"arxiv_id":"1911.03347","last_updated":"2021-02-08T18:20:55Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T23:43:09.378056Z","submitted_at":"2019-11-08T16:13:54Z","title":"Macro F1 and Macro F1"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1911.03347."}