{"as_of":"2026-08-13T14:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a6f1215eb3f6bc30d4b4f3ae28fcfcfb87222fab1f67df82bf1a47401fc164e4","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:03:15.083451Z","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":"2026-07-01T09:55:40.733373Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.16184","last_updated":"2024-10-14T04:19:06Z","snapshot_observed_at":"2026-08-13T04:32:39.984087Z","submitted_at":"2024-01-29T14:29:48Z","title":"Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16184","snapshot_observed_at":"2026-08-07T14:03:15.083451Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-13T09:15:58.962249Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.083451Z"},"links":{"cited_paper":"/paper/2401.16184","citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:22b43ad14f4d0fb62d63579ca42d2612a0b701ae5c42c088ed08c567c209f562","observation_id":"c9368a3d-9597-4674-8492-7f6b7ccc8c61","resolution":{"observed_at":"2026-08-07T14:03:15.083451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16184","last_updated":"2024-10-14T04:19:06Z","snapshot_observed_at":"2026-08-13T04:32:39.984087Z","submitted_at":"2024-01-29T14:29:48Z","title":"Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning","version":6},"cited_work":{"arxiv_id":"2401.16184","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16184","snapshot_observed_at":"2026-07-01T09:55:40.733373Z","title":"V ocabulary-defined semantics: Latent space clustering for improving in-context learning.arXiv preprint arXiv:2401.16184,","venue":null,"work_id":"53980d87-86c5-4ff2-a2a1-6d22169e46c7","year":null},"citing_paper":{"arxiv_id":"2606.32022","last_updated":"2026-06-30T17:52:22Z","snapshot_observed_at":"2026-08-07T15:34:40.205916Z","submitted_at":"2026-06-30T17:52:22Z","title":"SemRF: A Semantic Reference Frame for Residual-Stream Dynamics in Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T06:05:02.194973Z"},"links":{"cited_paper":"/paper/2401.16184","citing_paper":"/paper/2606.32022"},"observation_digest":"sha256:c1ee8ffb838414cd948b3293e9df3c4daff9877c917adf1893e32541cbef326b","observation_id":"885c4daa-d821-42d1-ac4d-0bd6aa3a575c","resolution":{"observed_at":"2026-07-01T09:55:40.735450Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.16184/citation-record","integrity":"/paper/2401.16184/integrity","json":"/paper/2401.16184/citation-record.json","paper":"/paper/2401.16184"},"outbound":[],"paper":{"arxiv_id":"2401.16184","last_updated":"2024-10-14T04:19:06Z","latest_version":6,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T04:32:39.984087Z","submitted_at":"2024-01-29T14:29:48Z","title":"Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.16184."}