{"as_of":"2026-08-22T17:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f14a3ab920c25eaa6e83ca9b7686c1940d30b807401fcbd13922d855dca5970","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":"2026-08-22T06:32:14.747728+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":"2026-08-15T22:53:31.463815Z","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":"2026-05-16T07:47:32.994128Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09202","snapshot_observed_at":"2026-08-15T22:53:31.463815Z","title":"Token weighting for long-range language modeling,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.06175","last_updated":"2025-05-09T16:29:29Z","snapshot_observed_at":"2026-08-15T23:56:40.403742Z","submitted_at":"2025-05-09T16:29:29Z","title":"Turbo-ICL: In-Context Learning-Based Turbo Equalization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T22:53:31.463815Z"},"links":{"cited_paper":"/paper/2503.09202","citing_paper":"/paper/2505.06175"},"observation_digest":"sha256:9721845fb549c9ee8e450206d34e0c87bebd44fa53d9bc34e89f63edde4b0aa0","observation_id":"5b0db623-308e-4ad9-a4c7-8f83ce626861","resolution":{"observed_at":"2026-08-15T22:53:31.463815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09202","snapshot_observed_at":"2026-08-05T15:51:47.036275Z","title":"Token weighting for long-range language modeling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.00079","last_updated":"2025-08-26T22:29:12Z","snapshot_observed_at":"2026-08-13T15:28:59.214897Z","submitted_at":"2025-08-26T22:29:12Z","title":"Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:51:47.036275Z"},"links":{"cited_paper":"/paper/2503.09202","citing_paper":"/paper/2509.00079"},"observation_digest":"sha256:71dced45ef218e844a1b3a7a382da4f7f829ed6453b920bde452a1272c8a64e2","observation_id":"1c7b7d2f-b464-4b0c-9269-00f05acc60f9","resolution":{"observed_at":"2026-08-05T15:51:47.036275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling","version":1},"cited_work":{"arxiv_id":"2503.09202","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.09202","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2503.09202 [cs] version","venue":null,"work_id":"2967f2f1-0110-4b03-a990-d768b08fa2a9","year":2025},"citing_paper":{"arxiv_id":"2604.02340","last_updated":"2026-04-11T10:21:32Z","snapshot_observed_at":"2026-08-17T23:10:15.602821Z","submitted_at":"2026-02-04T13:04:58Z","title":"Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T07:43:45.415485Z"},"links":{"cited_paper":"/paper/2503.09202","citing_paper":"/paper/2604.02340"},"observation_digest":"sha256:94b72f4b1ba8011dad8856aa8c2b4f28a341357c36b449b74af569cc58717e38","observation_id":"2b2cbb25-2d4f-4a15-8f70-6cea457c7d1b","resolution":{"observed_at":"2026-05-16T07:47:32.996229Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling","version":1},"cited_work":{"arxiv_id":"2503.09202","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.09202","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2503.09202 [cs] version","venue":null,"work_id":"2967f2f1-0110-4b03-a990-d768b08fa2a9","year":2025},"citing_paper":{"arxiv_id":"2604.08290","last_updated":"2026-04-09T14:27:02Z","snapshot_observed_at":"2026-08-13T09:20:00.166690Z","submitted_at":"2026-04-09T14:27:02Z","title":"Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T17:34:16.075235Z"},"links":{"cited_paper":"/paper/2503.09202","citing_paper":"/paper/2604.08290"},"observation_digest":"sha256:de5c84271ea1ebcf4aba4cf26f668d9d445fccb97d2aaab86ac0e9c8dc65ecd7","observation_id":"b7b84f2f-d91b-4314-8abe-38ffb89210f9","resolution":{"observed_at":"2026-05-11T06:36:03.108655Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling","version":1},"cited_work":{"arxiv_id":"2503.09202","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.09202","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2503.09202 [cs] version","venue":null,"work_id":"2967f2f1-0110-4b03-a990-d768b08fa2a9","year":2025},"citing_paper":{"arxiv_id":"2605.10544","last_updated":"2026-05-11T13:23:21Z","snapshot_observed_at":"2026-08-13T23:35:48.315549Z","submitted_at":"2026-05-11T13:23:21Z","title":"Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T03:52:45.320454Z"},"links":{"cited_paper":"/paper/2503.09202","citing_paper":"/paper/2605.10544"},"observation_digest":"sha256:6bdce40cc38ee0480a00628c85b380b6a9a583465a2a0417ab08cdae461508ad","observation_id":"13e5d579-d53c-4e99-8c76-2dd45d68f4ab","resolution":{"observed_at":"2026-05-12T06:51:29.163525Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.09202/citation-record","integrity":"/paper/2503.09202/integrity","json":"/paper/2503.09202/citation-record.json","paper":"/paper/2503.09202"},"outbound":[],"paper":{"arxiv_id":"2503.09202","last_updated":"2025-03-12T09:46:59Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T12:50:49.053590Z","submitted_at":"2025-03-12T09:46:59Z","title":"Token Weighting for Long-Range Language Modeling"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.09202."}