{"as_of":"2026-08-14T11:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:932a7a77fca705da2f5a96669468b609d7592e760f98c12ef0ef230824e95fa4","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T04:25:45.979219Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:04:30.738827Z","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":"2026-08-07T06:04:36.491365Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"cited_work":{"arxiv_id":"2412.18914","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.18914","snapshot_observed_at":"2026-08-07T06:04:36.491365Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","venue":"cs.AI","work_id":"600f8d7c-938c-47ba-9b39-2413193686fb","year":2024},"citing_paper":{"arxiv_id":"2506.06266","last_updated":"2025-06-13T17:58:55Z","snapshot_observed_at":"2026-08-10T09:21:59.278086Z","submitted_at":"2025-06-06T17:48:23Z","title":"Cartridges: Lightweight and general-purpose long context representations via self-study","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T06:04:30.738827Z"},"links":{"cited_paper":"/paper/2412.18914","citing_paper":"/paper/2506.06266"},"observation_digest":"sha256:377d9001d179c5ab21c5717cec01f08495c9cf3513f2cafeb0875759a57bd51e","observation_id":"4b3131ca-1d45-44bd-94d0-c6081afd72d4","resolution":{"observed_at":"2026-08-07T06:04:36.499166Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2412.18914/citation-record","integrity":"/paper/2412.18914/integrity","json":"/paper/2412.18914/citation-record.json","paper":"/paper/2412.18914"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:46.382476Z","title":"Chang, K","venue":null,"work_id":"d8d0d8e8-c77c-4864-9609-74daeb1893e0","year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.883000Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:64ca9067d6577dc45a915bc61f9309cfcf3452ac23f378a504dd2aa74e0a23ad","observation_id":"451fc32b-e2c3-49de-93db-b82ca464c100","resolution":{"observed_at":"2026-08-11T04:25:46.387234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2406.12331","last_updated":"2024-06-18T06:54:28Z","snapshot_observed_at":"2026-08-12T23:40:22.602868Z","submitted_at":"2024-06-18T06:54:28Z","title":"Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12331","snapshot_observed_at":"2026-08-11T04:25:45.888488Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.888488Z"},"links":{"cited_paper":"/paper/2406.12331","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:d99cc77120ce5948db919127da662b4fabc1a5ca79fcfb88eeaa2b85908ec78b","observation_id":"ace3be31-a278-43b0-b2c6-5f4414470e6f","resolution":{"observed_at":"2026-08-11T04:25:45.888488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06067","last_updated":"2025-02-06T17:35:02Z","snapshot_observed_at":"2026-08-13T00:10:42.544296Z","submitted_at":"2024-05-09T19:32:49Z","title":"HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06067","snapshot_observed_at":"2026-08-11T04:25:45.895004Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.895004Z"},"links":{"cited_paper":"/paper/2405.06067","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:6f0bd93d2f1ccafe98639f048938fc6060fe20fb4bbd3cb835a5f3760e543352","observation_id":"b3657812-41c3-4cbd-bca6-a37125a2cae2","resolution":{"observed_at":"2026-08-11T04:25:45.895004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06654","last_updated":"2024-08-06T21:48:58Z","snapshot_observed_at":"2026-08-14T09:25:42.723726Z","submitted_at":"2024-04-09T23:41:27Z","title":"RULER: What's the Real Context Size of Your Long-Context Language Models?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06654","snapshot_observed_at":"2026-08-11T04:25:45.900426Z","title":"Hsieh, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.900426Z"},"links":{"cited_paper":"/paper/2404.06654","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:ddfc91d3b2d5360ed939ba95a3e7917666c43ef225be6493d02d639d44b3d7c4","observation_id":"fbbfd204-27e3-4c3b-9360-163eb01507c9","resolution":{"observed_at":"2026-08-11T04:25:45.900426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:45.906181Z","title":"Hwang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.906181Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:3199b6e9a2d1522f652427cf2a85a039e04dcfd75df7164c0bd3d7d969f72e0e","observation_id":"33ef2c3f-a35e-4113-bc0f-496f475ec2cf","resolution":{"observed_at":"2026-08-11T04:25:45.906181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:46.366671Z","title":"Hwang, Y","venue":null,"work_id":"476fe65c-ef09-486a-9f2f-e43c10cdff7d","year":2025},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.911644Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:232c96276d157e3a796d72274d1174e8bc2bda579b9ea46ad4f0c422648f7b0f","observation_id":"3075ac60-3e02-4b3f-8f83-bf4e79f50492","resolution":{"observed_at":"2026-08-11T04:25:46.371637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:45.917248Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.917248Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:f1c20ede9369a953a0ed1b52c68ea68e4731e3cf8fdfbdd77e5d0f8f5245bce9","observation_id":"1f0f5e4f-a617-4489-855d-9f0b31571a1d","resolution":{"observed_at":"2026-08-11T04:25:45.917248Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:45.922202Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.922202Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:30bdbb0d3eeb4def3aae4283dba3e27b8456725a1a82f6e2e27d5e389521560e","observation_id":"451753a0-84f0-478f-9fcc-1503f5c3ba10","resolution":{"observed_at":"2026-08-11T04:25:45.922202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13121","last_updated":"2024-06-19T00:28:58Z","snapshot_observed_at":"2026-08-12T23:39:40.547591Z","submitted_at":"2024-06-19T00:28:58Z","title":"Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13121","snapshot_observed_at":"2026-08-11T04:25:45.927167Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.927167Z"},"links":{"cited_paper":"/paper/2406.13121","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:51325dbf2539c28d63a084de5c3415878fd3670858cacb063a1fe0c35ec552be","observation_id":"035a5299-f9d7-4f21-b563-173aefeb4eb4","resolution":{"observed_at":"2026-08-11T04:25:45.927167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06025","last_updated":"2024-06-10T05:15:30Z","snapshot_observed_at":"2026-08-12T23:46:44.422475Z","submitted_at":"2024-06-10T05:15:30Z","title":"RepoQA: Evaluating Long Context Code Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06025","snapshot_observed_at":"2026-08-11T04:25:45.932670Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.932670Z"},"links":{"cited_paper":"/paper/2406.06025","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:3f16f05041eebb88e1f5900d07bda9b74c24f3f9732d2eeb30910b21a19431bf","observation_id":"e9a46c8f-2928-4893-8198-4cf7f1071c69","resolution":{"observed_at":"2026-08-11T04:25:45.932670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:46.350817Z","title":null,"venue":null,"work_id":"eb7efcbd-bb77-456b-91b4-2b8383cb14a9","year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.938234Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:780b757748b7f15581ea1f7ae31d816af670b21bace75fbeae7e8c5d16e2c882","observation_id":"af3348cd-e647-46e5-a40b-4cb154b8d7de","resolution":{"observed_at":"2026-08-11T04:25:46.355700Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2404.07143","last_updated":"2024-08-09T22:37:25Z","snapshot_observed_at":"2026-08-02T14:27:24.212588Z","submitted_at":"2024-04-10T16:18:42Z","title":"Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07143","snapshot_observed_at":"2026-08-11T04:25:45.943232Z","title":"Munkhdalai, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.943232Z"},"links":{"cited_paper":"/paper/2404.07143","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:c7d2eedc7ce9e6ae5f35208532cee61e1f8793c656be495b0449f07d332bad5d","observation_id":"729b1b12-851f-40a6-9d41-41294d40e064","resolution":{"observed_at":"2026-08-11T04:25:45.943232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08560","last_updated":"2024-02-12T18:59:46Z","snapshot_observed_at":"2026-08-12T05:13:16.784054Z","submitted_at":"2023-10-12T17:51:32Z","title":"MemGPT: Towards LLMs as Operating Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08560","snapshot_observed_at":"2026-08-11T04:25:45.949218Z","title":"Packer, V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.949218Z"},"links":{"cited_paper":"/paper/2310.08560","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:4a57ef382129286a73b041a1bcfd43e5d09e7b37e58c57280d3f6edc625d1cff","observation_id":"8a002ab2-aaa5-4130-9671-e398d0f52e7c","resolution":{"observed_at":"2026-08-11T04:25:45.949218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:46.335164Z","title":null,"venue":null,"work_id":"55928b70-1a2e-4707-b75d-ee1402edfd44","year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.954405Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:a722e79aad6bf0aee67961bcd07e58d52e12d8f03d225fad3bf5ca021dfaf523","observation_id":"c0091642-a701-40de-9d5b-fe42892dda3b","resolution":{"observed_at":"2026-08-11T04:25:46.340138Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2405.15318","last_updated":"2024-05-24T07:59:30Z","snapshot_observed_at":"2026-08-12T23:59:03.739266Z","submitted_at":"2024-05-24T07:59:30Z","title":"Are Long-LLMs A Necessity For Long-Context Tasks?","version":1},"cited_work":{"arxiv_id":"2405.15318","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15318","snapshot_observed_at":"2026-08-11T04:25:46.193581Z","title":"Are Long-LLMs A Necessity For Long-Context Tasks?","venue":"cs.CL","work_id":"3323a7d6-f723-4d0c-99ec-7d3a5e6a482e","year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.959221Z"},"links":{"cited_paper":"/paper/2405.15318","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:4e52d59968d20fbd2b3a21dfb3dab55650ac95efae0f98e40cc66b76010a7128","observation_id":"e21b7923-829b-46f3-8e32-1d40ac26427b","resolution":{"observed_at":"2026-08-11T04:25:46.201050Z","resolver_source":"local_arxiv","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":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-11T04:25:45.964301Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.964301Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:b903b331096ccc714e1f79acc957a34b3112fc720f4c22dcaa59747d0ba87bc4","observation_id":"0855c0bf-d324-480f-b4db-e8de9fc3e75e","resolution":{"observed_at":"2026-08-11T04:25:45.964301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:25:46.319239Z","title":null,"venue":null,"work_id":"83c72598-6f76-4c5b-8abf-c4d76bc0af87","year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.969736Z"},"links":{"citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:09863ce0885ef6d9c507929f5e9446fe7c548d99a76177dc15099a6ace2bdeff","observation_id":"e86c86fc-0a9d-455e-8a1e-6fcd2902991d","resolution":{"observed_at":"2026-08-11T04:25:46.324090Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2402.13718","last_updated":"2024-02-24T15:07:55Z","snapshot_observed_at":"2026-08-13T04:13:48.028514Z","submitted_at":"2024-02-21T11:30:29Z","title":"$\\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13718","snapshot_observed_at":"2026-08-11T04:25:45.974300Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.974300Z"},"links":{"cited_paper":"/paper/2402.13718","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:d984fa31206fdabf00b5682b15a2275c017e06d119fdb3e10f7638b4e2100f84","observation_id":"5b890f71-a811-4783-9119-e3f21e959688","resolution":{"observed_at":"2026-08-11T04:25:45.974300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07104","last_updated":"2024-06-06T00:10:06Z","snapshot_observed_at":"2026-08-11T10:42:54.633244Z","submitted_at":"2023-12-12T09:34:27Z","title":"SGLang: Efficient Execution of Structured Language Model Programs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07104","snapshot_observed_at":"2026-08-11T04:25:45.979219Z","title":"Zheng, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T04:25:45.979219Z"},"links":{"cited_paper":"/paper/2312.07104","citing_paper":"/paper/2412.18914"},"observation_digest":"sha256:2fa4c1589342e6dcfef8bbc8ca61005f80b6e839b5f473abb1164c22d40678fa","observation_id":"1d30232d-4fa7-47dd-bf23-d1ea3975e770","resolution":{"observed_at":"2026-08-11T04:25:45.979219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.18914","last_updated":"2025-08-24T22:09:57Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T08:20:31.200659Z","submitted_at":"2024-12-25T14:14:31Z","title":"PRISM: Efficient Long-Range Reasoning With Short-Context LLMs"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":2},"total_outbound_references":19},"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 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2412.18914."}