{"as_of":"2026-08-08T06:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6f65d195108e7d472c56df25a64fefd6eac8aaf16a126898f965075b41d908ba","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:15:54.312377Z","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":"2026-07-02T02:26:26.812515Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":"2407.04841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-02T02:26:26.812515Z","title":"Associative recurrent memory transformer.arXiv preprint arXiv:2407.04841","venue":null,"work_id":"c19f0758-5908-4257-919f-bea5744d46d1","year":2024},"citing_paper":{"arxiv_id":"2501.00663","last_updated":"2024-12-31T22:32:03Z","snapshot_observed_at":"2026-08-07T09:00:33.558814Z","submitted_at":"2024-12-31T22:32:03Z","title":"Titans: Learning to Memorize at Test Time","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-14T22:08:14.982302Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2501.00663"},"observation_digest":"sha256:58ccd1e0f1bb4af1e044dc22c3c5ab47c2f990b61c98ae70531b68bb3dd987bc","observation_id":"b4155b73-60cd-4ad3-a912-7320c8b62e87","resolution":{"observed_at":"2026-05-14T22:08:15.396819Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-08-05T20:15:54.312377Z","title":"Associative recurrent memory transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-06T02:00:57.019893Z","submitted_at":"2025-08-14T16:48:38Z","title":"Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures","version":2},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.312377Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:d7596bef235e19bed1e3d1a6a4210d6feddf886b2c148cfc6d82164950018a19","observation_id":"13fd3ee2-29fc-445a-b41e-25b5f59c1d9e","resolution":{"observed_at":"2026-08-05T20:15:54.312377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":"2407.04841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-02T02:26:26.812515Z","title":"Associative recurrent memory transformer.arXiv preprint arXiv:2407.04841","venue":null,"work_id":"c19f0758-5908-4257-919f-bea5744d46d1","year":2024},"citing_paper":{"arxiv_id":"2508.16745","last_updated":"2026-05-07T14:29:44Z","snapshot_observed_at":"2026-08-02T06:49:37.602255Z","submitted_at":"2025-08-22T18:57:08Z","title":"Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-18T20:49:26.966293Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2508.16745"},"observation_digest":"sha256:bf216157a3553d206cf5ef4cf1705f33028283b910e0c905396bf7fee6858a6e","observation_id":"f63351de-1b53-4019-a6da-a07ae012d26d","resolution":{"observed_at":"2026-05-18T20:51:50.779036Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-08-05T15:52:46.800455Z","title":"Associative recurrent memory transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19344","last_updated":"2025-08-26T18:05:09Z","snapshot_observed_at":"2026-08-05T15:52:45.678946Z","submitted_at":"2025-08-26T18:05:09Z","title":"Re:Frame -- Retrieving Experience From Associative Memory","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:52:46.800455Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2508.19344"},"observation_digest":"sha256:b813140e46a1df15c7f2c507081aabaf65b1bc70b8558826089b3343bba6d81a","observation_id":"4b34d851-4526-459b-a8bc-e246ae89bbe8","resolution":{"observed_at":"2026-08-05T15:52:46.800455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":"2407.04841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-02T02:26:26.812515Z","title":"Associative recurrent memory transformer.arXiv preprint arXiv:2407.04841","venue":null,"work_id":"c19f0758-5908-4257-919f-bea5744d46d1","year":2024},"citing_paper":{"arxiv_id":"2511.07328","last_updated":"2026-05-04T15:02:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-10T17:31:02Z","title":"Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T23:27:49.126341Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2511.07328"},"observation_digest":"sha256:f445edc9b4a322359a0d7fb8fa205fc1c8c7d7d1d142e5de21fb470e6ea1f009","observation_id":"b844f2d0-1ec1-488b-be7b-8d641fb5c1c4","resolution":{"observed_at":"2026-05-17T23:30:29.357940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-08-02T18:47:52.169075Z","title":"Associative recurrent memory transformer, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.05117","last_updated":"2026-07-30T06:55:05Z","snapshot_observed_at":"2026-08-02T23:16:32.480088Z","submitted_at":"2026-03-05T12:42:53Z","title":"SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T18:47:52.169075Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2603.05117"},"observation_digest":"sha256:d0d4ddb03a1635b89b6280d4e8c1b425a1b406098fd8f9dcaaa7d69a4d0f58a7","observation_id":"fb7824f4-41d0-4d88-866a-39cd7b84ca47","resolution":{"observed_at":"2026-08-02T18:47:52.169075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":"2407.04841","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-02T02:26:26.812515Z","title":"Associative recurrent memory transformer.arXiv preprint arXiv:2407.04841","venue":null,"work_id":"c19f0758-5908-4257-919f-bea5744d46d1","year":2024},"citing_paper":{"arxiv_id":"2606.03979","last_updated":"2026-07-10T17:52:03Z","snapshot_observed_at":"2026-07-15T23:18:25.559225Z","submitted_at":"2026-06-02T17:56:55Z","title":"Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-06-28T10:56:13.058872Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2606.03979"},"observation_digest":"sha256:34e4c5fa43384f8516ba52f8122fd72b8bed5d905fa009a800f677fcfcb67f74","observation_id":"b875d4b2-6eff-4c96-afd4-46248ccc55ab","resolution":{"observed_at":"2026-07-02T02:26:26.814378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-13T07:44:25.325808Z","title":"Associative recurrent memory transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03979","last_updated":"2026-07-10T17:52:03Z","snapshot_observed_at":"2026-07-15T23:18:25.559225Z","submitted_at":"2026-06-02T17:56:55Z","title":"Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-07-13T07:44:25.325808Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2606.03979"},"observation_digest":"sha256:9fed1289ff08b8c501523d2e668945f3d0b39302f5a0b42e56202fdbbfc946f3","observation_id":"56e43314-8eb2-4a2e-b970-8ae5ff403302","resolution":{"observed_at":"2026-07-13T07:44:25.325808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04841","snapshot_observed_at":"2026-07-14T04:23:21.000846Z","title":"arXiv preprint arXiv:2407.04841 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.11614","last_updated":"2026-07-13T14:37:24Z","snapshot_observed_at":"2026-08-07T12:33:44.646398Z","submitted_at":"2026-07-13T14:37:24Z","title":"Extending LLM Context via Associative Recurrent Memory","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-14T04:23:21.000846Z"},"links":{"cited_paper":"/paper/2407.04841","citing_paper":"/paper/2607.11614"},"observation_digest":"sha256:411964054cb16ad9e4ec73f822b2adcc4a582092ccc89c2d1642af0cb39084cd","observation_id":"5319cf97-f112-4f64-8528-16a1bbcb9e9a","resolution":{"observed_at":"2026-07-14T04:23:21.000846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04841/citation-record","integrity":"/paper/2407.04841/integrity","json":"/paper/2407.04841/citation-record.json","paper":"/paper/2407.04841"},"outbound":[],"paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T05:40:28.418971Z","submitted_at":"2024-07-05T19:57:49Z","title":"Associative Recurrent Memory Transformer"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.04841."}