{"as_of":"2026-08-06T18:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94974502d6a12ee9aaacc346e86605b128c8ab083ee72dbf3756f1460c1505e4","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:26:28.777829Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T20:07:33.544111Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T06:25:00.376073Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2412.15115"},"observation_digest":"sha256:f8ee6b6d50a8f879269de7aff44a5cde7487741ce69726b341435530427743a7","observation_id":"8374dea5-e0e9-4881-80cd-761dfde43543","resolution":{"observed_at":"2026-05-23T06:25:27.769784Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2501.15383","last_updated":"2025-01-26T03:47:25Z","snapshot_observed_at":"2026-07-31T01:49:29.562668Z","submitted_at":"2025-01-26T03:47:25Z","title":"Qwen2.5-1M Technical Report","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T05:25:59.964619Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2501.15383"},"observation_digest":"sha256:c0b34c9545e060878a9146cd7c990d7d7a75fed5b4507eada0ed9d65b608b89f","observation_id":"7560798f-5b87-4622-b7d4-45885d797702","resolution":{"observed_at":"2026-05-15T05:26:00.053816Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-09T06:35:27.813995Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2505.09388"},"observation_digest":"sha256:8287dc8108fb838259fd910bf0922a9ba707efb32131bbba34c5aa41f9f0ee17","observation_id":"5560fb24-2758-484d-b191-16663ffb6136","resolution":{"observed_at":"2026-05-09T06:35:28.411146Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2507.02259","last_updated":"2026-07-29T12:55:39Z","snapshot_observed_at":"2026-08-01T23:32:07.108143Z","submitted_at":"2025-07-03T03:11:50Z","title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T11:17:24.406028Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2507.02259"},"observation_digest":"sha256:230987c56b7e6a7593e497e834ca684552ad5436c7990fa5f09057284a4b7f80","observation_id":"28927585-e704-495a-b6d5-f708df664a79","resolution":{"observed_at":"2026-05-15T11:17:24.549747Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-08-05T17:26:28.777829Z","title":"Training-free long-context scaling of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16279","last_updated":"2025-08-22T10:35:56Z","snapshot_observed_at":"2026-08-06T11:01:05.912134Z","submitted_at":"2025-08-22T10:35:56Z","title":"AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T17:26:28.777829Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2508.16279"},"observation_digest":"sha256:21a30a685b74c0d3a3424759344ab6695949aee730a02a2977f505e2f010ab76","observation_id":"d071a68f-2b93-45db-8039-30194ed9fe5c","resolution":{"observed_at":"2026-08-05T17:26:28.777829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2509.13047","last_updated":"2026-04-12T16:39:21Z","snapshot_observed_at":"2026-07-06T22:30:02.223630Z","submitted_at":"2025-09-16T13:04:48Z","title":"Multi-Model Synthetic Training for Mission-Critical Small Language Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-18T15:47:00.455107Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2509.13047"},"observation_digest":"sha256:be4ea46325f8f8ed2b5ea70254c9d418a7eab4916714c677f8473497f221c389","observation_id":"248eac42-1341-4ede-a3a4-a4f35232ff30","resolution":{"observed_at":"2026-05-18T15:51:34.952158Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2602.13933","last_updated":"2026-05-01T05:12:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-02-15T00:06:19Z","title":"HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T21:58:30.784843Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2602.13933"},"observation_digest":"sha256:476cd3d6c4640d906fee1c4ac9ea32866b746425baa4a0a24c219cc882ecd63b","observation_id":"d9f44861-aeec-4f51-9daf-ad8c48b58b5d","resolution":{"observed_at":"2026-05-15T22:00:21.340687Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2604.17366","last_updated":"2026-04-19T10:23:41Z","snapshot_observed_at":"2026-07-06T23:04:28.260463Z","submitted_at":"2026-04-19T10:23:41Z","title":"ArgBench: Benchmarking LLMs on Computational Argumentation Tasks","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-10T06:15:49.743367Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2604.17366"},"observation_digest":"sha256:2d49dae7448f4b1b9cc705fe2ce43279762d2dc25d230e0212aa962e996796da","observation_id":"5e8af451-1033-4046-bc52-c59b60b600a4","resolution":{"observed_at":"2026-05-10T06:16:20.704161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2605.04595","last_updated":"2026-05-06T07:42:26Z","snapshot_observed_at":"2026-07-06T23:17:18.486586Z","submitted_at":"2026-05-06T07:42:26Z","title":"A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints","version":1},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-05-08T17:28:05.492863Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2605.04595"},"observation_digest":"sha256:e298ff77f40f1a99453f1289725b54eb69252701027c3d02519eddb269a13163","observation_id":"ec5217cb-297d-4568-858b-31a1438bbd35","resolution":{"observed_at":"2026-05-11T17:31:09.016679Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.17463","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-10T20:07:33.544111Z","title":"Training-free long-context scaling of large language models","venue":"cs.CL","work_id":"a17fa8b4-29df-4838-80b2-c9d3440e8ed5","year":2024},"citing_paper":{"arxiv_id":"2607.07740","last_updated":"2026-07-10T03:53:58Z","snapshot_observed_at":"2026-07-15T23:17:51.274512Z","submitted_at":"2026-07-08T06:23:42Z","title":"Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-10T19:59:46.713277Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2607.07740"},"observation_digest":"sha256:8a9e47f2dfea988f70f0b02d6174309627fcfdafe09c27b0bda3b86396310355","observation_id":"d9c0883e-8b86-4d31-b842-994b0ea7a0e9","resolution":{"observed_at":"2026-07-10T20:07:33.545521Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17463","snapshot_observed_at":"2026-07-13T06:47:09.927626Z","title":"Training-free long-context scaling of large language models.arXiv preprint arXiv:2402.17463, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.07740","last_updated":"2026-07-10T03:53:58Z","snapshot_observed_at":"2026-07-15T23:17:51.274512Z","submitted_at":"2026-07-08T06:23:42Z","title":"Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T06:47:09.927626Z"},"links":{"cited_paper":"/paper/2402.17463","citing_paper":"/paper/2607.07740"},"observation_digest":"sha256:4c3e8d47bd8031dfcad53eae66c170f4d9917d64f2e95a632f3343738829b80b","observation_id":"5416ba3e-8f89-485c-8a9d-1890e2167d2f","resolution":{"observed_at":"2026-07-13T06:47:09.927626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.17463/citation-record","integrity":"/paper/2402.17463/integrity","json":"/paper/2402.17463/citation-record.json","paper":"/paper/2402.17463"},"outbound":[],"paper":{"arxiv_id":"2402.17463","last_updated":"2024-05-29T05:44:58Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T08:11:58.702104Z","submitted_at":"2024-02-27T12:39:23Z","title":"Training-Free Long-Context Scaling of Large Language Models"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.17463."}