{"as_of":"2026-08-14T23:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3fdb9dcab2f7b6e276f59fcb95c4676465b34bd033f7b6d8c9f8cbbc5072af0f","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:07:04.316421Z","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":"2026-07-04T13:29:50.983470Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-08-12T13:07:04.316421Z","title":"Memorization capacity of multi-head attention in transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16525","last_updated":"2025-06-05T23:04:39Z","snapshot_observed_at":"2026-08-13T12:09:17.275284Z","submitted_at":"2024-11-25T16:12:17Z","title":"Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-12T13:07:04.316421Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2411.16525"},"observation_digest":"sha256:01e8f65a1cbc6ff4c61161ffc1f85465b79bb4ce5b7f71d7035819d6a264322b","observation_id":"b2cb4b70-ffaf-417d-9031-cd926654ebbb","resolution":{"observed_at":"2026-08-12T13:07:04.316421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-08-11T19:41:31.829543Z","title":"Memorization capacity of multi- head attention in transformers","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.06538","last_updated":"2024-12-09T14:48:14Z","snapshot_observed_at":"2026-08-14T08:23:31.314537Z","submitted_at":"2024-12-09T14:48:14Z","title":"Understanding Factual Recall in Transformers via Associative Memories","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T19:41:31.829543Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2412.06538"},"observation_digest":"sha256:5305bb719d9e7ce34a1f67cc234cbeaedbda824195c8ca02697386276db9789d","observation_id":"6a82dba1-446d-42fc-b8bd-1e17d94c9020","resolution":{"observed_at":"2026-08-11T19:41:31.829543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":"2306.02010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-07-04T13:29:50.983470Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","venue":null,"work_id":"afa43762-3e69-4f41-b386-b768785d6661","year":2024},"citing_paper":{"arxiv_id":"2505.12546","last_updated":"2026-07-20T01:54:07Z","snapshot_observed_at":"2026-08-14T20:57:18.517267Z","submitted_at":"2025-05-18T21:06:32Z","title":"Extracting memorized pieces of (copyrighted) books from open-weight language models","version":5},"reference_index":171,"source":"pdf_text","source_observed_at":"2026-05-22T13:59:05.460455Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2505.12546"},"observation_digest":"sha256:999038a19e9095e5a86c83ee43094ad52af3ba7ddba978ede8848be5cd2a795b","observation_id":"4ddea9e2-cbf4-4517-807d-e5e1e98a3ef1","resolution":{"observed_at":"2026-05-22T14:01:38.076126Z","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":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-08-07T12:35:39.202808Z","title":"Memorization capacity of multi-head attention in transformers, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24832","last_updated":"2025-06-18T15:27:03Z","snapshot_observed_at":"2026-08-12T20:24:19.932218Z","submitted_at":"2025-05-30T17:34:03Z","title":"How much do language models memorize?","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.202808Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2505.24832"},"observation_digest":"sha256:f6b1db1f658d3985e682361f8ca8d48feacb4863c8d160d8da7805b7b4e0a0e5","observation_id":"5711ed1a-7092-4b06-b5ac-7ff81ccd3cdb","resolution":{"observed_at":"2026-08-07T12:35:39.202808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":"2306.02010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-07-04T13:29:50.983470Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","venue":null,"work_id":"afa43762-3e69-4f41-b386-b768785d6661","year":2024},"citing_paper":{"arxiv_id":"2508.00901","last_updated":"2026-05-18T13:04:24Z","snapshot_observed_at":"2026-08-12T16:07:45.973065Z","submitted_at":"2025-07-28T17:24:57Z","title":"Provable Knowledge Acquisition and Extraction in One-Layer Transformers","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T23:05:56.687644Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2508.00901"},"observation_digest":"sha256:9ec3c5ade9e82493130ba20020b651c2f7e5dfdb7d53f0901e0cc0fdb356c225","observation_id":"6bdd94b1-7785-4547-9142-481f60980056","resolution":{"observed_at":"2026-05-21T23:10:44.872367Z","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":"2306.02010","last_updated":"2024-03-02T07:50:37Z","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","version":3},"cited_work":{"arxiv_id":"2306.02010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.02010","snapshot_observed_at":"2026-07-04T13:29:50.983470Z","title":"Memorization Capacity of Multi-Head Attention in Transformers","venue":null,"work_id":"afa43762-3e69-4f41-b386-b768785d6661","year":2024},"citing_paper":{"arxiv_id":"2606.26749","last_updated":"2026-06-25T08:33:34Z","snapshot_observed_at":"2026-08-01T16:00:20.311664Z","submitted_at":"2026-06-25T08:33:34Z","title":"Structure Before Collapse: Transient semantic geometry in next-token prediction","version":1},"reference_index":120,"source":"arxiv_source","source_observed_at":"2026-06-26T05:14:07.208255Z"},"links":{"cited_paper":"/paper/2306.02010","citing_paper":"/paper/2606.26749"},"observation_digest":"sha256:d8b0d33a7492b74cbbef6f87aa84c4ae73caaef9313af8e9ac91433fc7814c95","observation_id":"7f6e4b7e-902b-4e54-b38d-8080297dbc95","resolution":{"observed_at":"2026-07-04T13:29:50.985019Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2306.02010/citation-record","integrity":"/paper/2306.02010/integrity","json":"/paper/2306.02010/citation-record.json","paper":"/paper/2306.02010"},"outbound":[],"paper":{"arxiv_id":"2306.02010","last_updated":"2024-03-02T07:50:37Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T21:41:42.757183Z","submitted_at":"2023-06-03T05:45:29Z","title":"Memorization Capacity of Multi-Head Attention in Transformers"},"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 6 inbound Pith citation observations for arXiv:2306.02010."}