{"as_of":"2026-08-21T08:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:573bdd6dfaf378bba651156b6b9d04f2109ca11e2bad0c2e90710e2d43edb02a","coverage":[{"denominator":2,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T00:15:37.802188Z","state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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":"2026-08-02T12:21:06.279536Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.03675","last_updated":"2026-05-25T02:41:06Z","snapshot_observed_at":"2026-08-14T10:01:58.796996Z","submitted_at":"2026-05-05T12:14:10Z","title":"MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.03675","snapshot_observed_at":"2026-08-02T12:21:06.279536Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.20488","last_updated":"2026-06-04T11:38:06Z","snapshot_observed_at":"2026-08-21T00:25:19.849124Z","submitted_at":"2026-06-04T11:38:06Z","title":"Autonomous Topology Mutation: Safe Runtime Restructuring for Multi-Agent LLM Systems with Capability, State, and Shadow Invariants","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T12:21:06.279536Z"},"links":{"cited_paper":"/paper/2605.03675","citing_paper":"/paper/2607.20488"},"observation_digest":"sha256:6b12007403fae0637291ac4ba59c2d6870e87099390c7fdbd903d6e1fea31ad4","observation_id":"a1f88a5e-9b2c-45e9-9ae4-405425268268","resolution":{"observed_at":"2026-08-02T12:21:06.279536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.03675/citation-record","integrity":"/paper/2605.03675/integrity","json":"/paper/2605.03675/citation-record.json","paper":"/paper/2605.03675"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.02553","last_updated":"2026-01-29T15:45:24Z","snapshot_observed_at":"2026-08-19T11:15:57.150633Z","submitted_at":"2026-01-05T21:02:49Z","title":"SimpleMem: Efficient Lifelong Memory for LLM Agents","version":3},"cited_work":{"arxiv_id":"2601.02553","doi":"10.48550/arxiv.2601.02553","metadata_source":"pith","pith_arxiv_id":"2601.02553","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SimpleMem: Efficient Lifelong Memory for LLM Agents","venue":"cs.AI","work_id":"9b5b2649-8727-425e-a2c5-60f49518a5c4","year":2026},"citing_paper":{"arxiv_id":"2605.03675","last_updated":"2026-05-25T02:41:06Z","snapshot_observed_at":"2026-08-14T10:01:58.796996Z","submitted_at":"2026-05-05T12:14:10Z","title":"MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T00:15:37.802188Z"},"links":{"cited_paper":"/paper/2601.02553","citing_paper":"/paper/2605.03675"},"observation_digest":"sha256:e5b71cfa170327f003626dd85b6aecbf7a73da145f2b317de503303b99291459","observation_id":"829c10b4-90a6-4c36-85ff-4766b839ea5f","resolution":{"observed_at":"2026-07-01T00:25:10.164625Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.04463","doi":"10.48550/arxiv.2601.04463","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Beyond static summarization: Proactive memory extraction for llm agents.arXiv preprint arXiv:2601.04463, 2026a","venue":"arXiv (Cornell University)","work_id":"889d7cf3-d566-4af8-91d3-95cfdc032e38","year":2026},"citing_paper":{"arxiv_id":"2605.03675","last_updated":"2026-05-25T02:41:06Z","snapshot_observed_at":"2026-08-14T10:01:58.796996Z","submitted_at":"2026-05-05T12:14:10Z","title":"MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T00:15:37.802188Z"},"links":{"citing_paper":"/paper/2605.03675"},"observation_digest":"sha256:2066c562e23afcbb4ef242dae8351385f7ab422fe3ca3593b311f15de0230f5f","observation_id":"0afa3faf-8ac9-4646-9c6f-439094d41cdc","resolution":{"observed_at":"2026-07-01T00:25:10.162202Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.03675","last_updated":"2026-05-25T02:41:06Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T10:01:58.796996Z","submitted_at":"2026-05-05T12:14:10Z","title":"MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents"},"reference_resolution":{"displayed":2,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":2},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2605.03675."}