{"as_of":"2026-08-10T19:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:702119e65fd1cbc155a02a6a89e7735dc73d91332c9861d04a03b771bd465bb4","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T04:41:11.215775Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":10,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2402.17753","last_updated":"2024-02-27T18:42:31Z","snapshot_observed_at":"2026-08-06T11:15:36.554174Z","submitted_at":"2024-02-27T18:42:31Z","title":"Evaluating Very Long-Term Conversational Memory of LLM Agents","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-12T08:05:10.586357Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2402.17753"},"observation_digest":"sha256:acf714b2afdf2d12bfceced6db07deb55884fce073ae5e761e1886a1e7faac15","observation_id":"caeb94c5-d48e-40f8-a9e4-b1e01f425f23","resolution":{"observed_at":"2026-05-12T08:05:13.051535Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2502.01941","last_updated":"2026-05-12T08:04:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-04T02:23:06Z","title":"Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression","version":4},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-23T04:15:36.906263Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2502.01941"},"observation_digest":"sha256:5527f70fdd8474da0ecc0e313b14c8b88cd18928655259f32e61cd2c6f54cc0b","observation_id":"b0caa610-cc6d-4cc6-956b-e59d36829da2","resolution":{"observed_at":"2026-05-23T04:17:31.117469Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-08T18:46:28.192588Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05589","last_updated":"2025-03-03T16:49:18Z","snapshot_observed_at":"2026-08-10T06:25:12.966696Z","submitted_at":"2025-02-08T14:28:36Z","title":"On Memory Construction and Retrieval for Personalized Conversational Agents","version":3},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T18:46:28.192588Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2502.05589"},"observation_digest":"sha256:068e40cada33497252badb323ad45a3ad45ddba0ef5910e6897a8e1a6f0fc42a","observation_id":"6b633448-2c5d-4388-bfeb-ac53905024c5","resolution":{"observed_at":"2026-08-08T18:46:28.192588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2504.02181","last_updated":"2026-04-22T01:49:17Z","snapshot_observed_at":"2026-07-30T09:24:14.725185Z","submitted_at":"2025-04-02T23:51:27Z","title":"A Survey of Scaling in Large Language Model Reasoning","version":2},"reference_index":207,"source":"pdf_text","source_observed_at":"2026-05-22T21:20:07.238992Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2504.02181"},"observation_digest":"sha256:7be46e7c5e63917e527e280622c0682e768f67311a27fbad2ecfac06d9710049","observation_id":"bea96a60-3957-41d1-ad87-30775c96e763","resolution":{"observed_at":"2026-05-22T21:22:09.448697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2504.15965","last_updated":"2025-04-23T13:47:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T15:05:04Z","title":"From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-17T11:05:09.588491Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2504.15965"},"observation_digest":"sha256:f2a57d81f987edfed27fd244f97c4fdcfdeeb356b0fc49dd612811e0bb18946b","observation_id":"5a25703b-9c32-4f11-8a01-39c3926e3b63","resolution":{"observed_at":"2026-05-17T11:05:09.684128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-07T14:30:22.608189Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18859","last_updated":"2025-05-24T20:40:39Z","snapshot_observed_at":"2026-08-10T05:10:02.268744Z","submitted_at":"2025-05-24T20:40:39Z","title":"Writing Like the Best: Exemplar-Based Expository Text Generation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T14:30:22.608189Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2505.18859"},"observation_digest":"sha256:acfbeac376bcc8638d55557e0c5f57718f4f66fd3ebacdb9fec8119f22ac1150","observation_id":"d2586067-f1ba-46bd-bde1-388742cfeadc","resolution":{"observed_at":"2026-08-07T14:30:22.608189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-06T12:53:49.251136Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21428","last_updated":"2025-07-29T01:42:06Z","snapshot_observed_at":"2026-08-07T04:48:16.575349Z","submitted_at":"2025-07-29T01:42:06Z","title":"MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T12:53:49.251136Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2507.21428"},"observation_digest":"sha256:a2aacd61e82a054f0baf28860aa6c3845f2a92b341d3ad181e0510113a0e6d43","observation_id":"fa04f6d6-4205-4691-a3f1-8fc2991cf064","resolution":{"observed_at":"2026-08-06T12:53:49.251136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T22:02:15.430897Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07664","last_updated":"2025-08-11T06:26:30Z","snapshot_observed_at":"2026-08-09T20:47:53.594712Z","submitted_at":"2025-08-11T06:26:30Z","title":"Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:02:15.430897Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2508.07664"},"observation_digest":"sha256:765da5912943867157f70d6a98361c862a531d257c23f17202ae2d4567f530bc","observation_id":"09a0b824-fc60-46ce-891f-873add1f0863","resolution":{"observed_at":"2026-08-05T22:02:15.430897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2604.12049","last_updated":"2026-04-13T20:41:36Z","snapshot_observed_at":"2026-08-03T03:51:16.996563Z","submitted_at":"2026-04-13T20:41:36Z","title":"Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T15:11:35.346010Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2604.12049"},"observation_digest":"sha256:b891856dd312a6b4b8f62ddaeead75f9b3dc44ba3fbbb0e713c958f47e5ac4e9","observation_id":"207bb0ce-9fff-49d1-a9e4-b482c7126272","resolution":{"observed_at":"2026-05-10T21:50:50.542642Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2604.15547","last_updated":"2026-04-16T21:52:11Z","snapshot_observed_at":"2026-08-02T19:53:23.399369Z","submitted_at":"2026-04-16T21:52:11Z","title":"Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T10:55:20.435471Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2604.15547"},"observation_digest":"sha256:bd1ed89a63d525026f58e491f4ff36f68d3752a33113ef395277c91458b96343","observation_id":"b29d9921-26cd-4453-9d0c-374099dcfcc9","resolution":{"observed_at":"2026-05-10T11:00:03.721754Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2604.21352","last_updated":"2026-05-06T15:19:47Z","snapshot_observed_at":"2026-08-02T08:46:23.869106Z","submitted_at":"2026-04-23T07:11:24Z","title":"CARE: Counselor-Aligned Response Engine for Online Mental-Health Support","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-09T22:32:10.343501Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2604.21352"},"observation_digest":"sha256:6060a35aa3bedab96cf5e6f0ef266621fea8ffa4919d2bc5b64c5ddddb0169b0","observation_id":"c774d9ff-ea7f-4f8a-9356-8f35d7863ab8","resolution":{"observed_at":"2026-05-09T22:34:06.828766Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2605.20833","last_updated":"2026-05-20T07:25:33Z","snapshot_observed_at":"2026-08-08T02:04:54.204252Z","submitted_at":"2026-05-20T07:25:33Z","title":"MemGym: a Long-Horizon Memory Environment for LLM Agents","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-21T04:58:41.043782Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2605.20833"},"observation_digest":"sha256:40dfe0e00055fd499769d8bb7bb8f2aa1435a216c5c441c92f5740455f8865e8","observation_id":"373d65a5-7645-4839-b620-2826e9120239","resolution":{"observed_at":"2026-05-21T04:59:36.306470Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2605.27141","last_updated":"2026-05-26T15:07:38Z","snapshot_observed_at":"2026-07-06T23:36:53.330986Z","submitted_at":"2026-05-26T15:07:38Z","title":"VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-06-29T17:10:02.936605Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2605.27141"},"observation_digest":"sha256:f110b09f8013cb2998a3153e34578a5d3daaa1806d699fbf6afe732d4aee1046","observation_id":"5f8111b5-9d72-41a3-9db4-95e536ed0b4e","resolution":{"observed_at":"2026-06-29T17:13:44.669300Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":"2308.15022","doi":"10.48550/arxiv.2308.15022","metadata_source":"pith","pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recursively summarizing enables long-term dialogue memory in large language models","venue":"cs.CL","work_id":"f0ee655a-5e7f-4ffe-b2a3-a0f36aa8b761","year":2023},"citing_paper":{"arxiv_id":"2607.05708","last_updated":"2026-07-07T00:06:22Z","snapshot_observed_at":"2026-08-08T09:19:00.222660Z","submitted_at":"2026-07-07T00:06:22Z","title":"Akashic: A Low-Overhead LLM Inference Service with MemAttention","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-11T03:21:33.871506Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2607.05708"},"observation_digest":"sha256:3afbf5210893b636a0bc0aea7c48cc3669da480e37b2871651b47fc123c7eb67","observation_id":"5998c85f-a035-4deb-a30e-d1df2a0eab29","resolution":{"observed_at":"2026-07-11T03:27:45.230269Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T10:19:30.84934+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-01T08:54:36.028192Z","title":"arXiv:2308.15022, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20972","last_updated":"2026-07-23T06:50:04Z","snapshot_observed_at":"2026-08-07T02:25:23.043020Z","submitted_at":"2026-07-23T06:50:04Z","title":"Delivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding Agents","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T08:54:36.028192Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2607.20972"},"observation_digest":"sha256:e4949d207bcecbff71ec0a46502dd365fa8c515a9b818ef30331bfb08635d587","observation_id":"d49b8d39-1e0f-4225-af7a-c49194266426","resolution":{"observed_at":"2026-08-01T08:54:36.028192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-07-31T12:56:46.074813Z","title":"InAdvances in Neural Information Pro- cessing Systems, volume 30, pages 5998–6008","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28263","last_updated":"2026-07-30T14:19:11Z","snapshot_observed_at":"2026-08-08T08:40:10.642095Z","submitted_at":"2026-07-30T14:19:11Z","title":"Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-07-31T12:56:46.074813Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2607.28263"},"observation_digest":"sha256:9499cf2f4b33141ab481446e260ed4e19ed7cb142568800c1e56566bf01b0343","observation_id":"5129d7ef-986f-49e1-9161-c36d44b6fc21","resolution":{"observed_at":"2026-07-31T12:56:46.074813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15022","snapshot_observed_at":"2026-08-10T04:41:11.215775Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07440","last_updated":"2026-08-07T17:23:53Z","snapshot_observed_at":"2026-08-10T18:12:19.480411Z","submitted_at":"2026-08-07T17:23:53Z","title":"Blast Radius","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T04:41:11.215775Z"},"links":{"cited_paper":"/paper/2308.15022","citing_paper":"/paper/2608.07440"},"observation_digest":"sha256:640debd59a10990f93589d930a3194b4e235f4b96f0f4d0a745789258770c588","observation_id":"80b44305-efdb-4b67-ae1d-39604b5f154d","resolution":{"observed_at":"2026-08-10T04:41:11.215775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2308.15022/citation-record","integrity":"/paper/2308.15022/integrity","json":"/paper/2308.15022/citation-record.json","paper":"/paper/2308.15022"},"outbound":[],"paper":{"arxiv_id":"2308.15022","last_updated":"2025-08-25T14:43:13Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T01:49:34.404256Z","submitted_at":"2023-08-29T04:59:53Z","title":"Recursively Summarizing Enables Long-Term Dialogue Memory in 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.15022."}