{"as_of":"2026-08-17T17:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e53653c611cabd923ac2967f8438692218acb389ec86101174de2eae1651e1eb","coverage":[{"denominator":124,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T20:15:55.827576Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:16:57.573883Z","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":"2026-06-30T06:24:19.539873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","submitted_at":"2025-08-14T16:48:38Z","title":"Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.10824","snapshot_observed_at":"2026-08-05T05:16:57.573883Z","title":"Memory-augmented transformers: A sys- tematic review from neuroscience principles to enhanced model architectures.arXiv preprint arXiv:2508.10824v2, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.05669","last_updated":"2025-09-06T10:14:49Z","snapshot_observed_at":"2026-08-16T04:58:56.513298Z","submitted_at":"2025-09-06T10:14:49Z","title":"Context-Aware Multi-Turn Visual-Textual Reasoning in LVLMs via Dynamic Memory and Adaptive Visual Guidance","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T05:16:57.573883Z"},"links":{"cited_paper":"/paper/2508.10824","citing_paper":"/paper/2509.05669"},"observation_digest":"sha256:c8f5de2ca353cadcbae77e879ead81b09818cfb1ee8a9614414f5c5a523a3bb3","observation_id":"8cc7102f-7c4a-42ef-bcf0-3d78d278fa6b","resolution":{"observed_at":"2026-08-05T05:16:57.573883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","submitted_at":"2025-08-14T16:48:38Z","title":"Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures","version":2},"cited_work":{"arxiv_id":"2508.10824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.10824","snapshot_observed_at":"2026-06-30T06:24:19.539873Z","title":"Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G","venue":null,"work_id":"4facd297-7902-4665-b192-c2ba2a669f4a","year":null},"citing_paper":{"arxiv_id":"2606.29824","last_updated":"2026-06-29T06:05:25Z","snapshot_observed_at":"2026-08-13T11:58:39.423270Z","submitted_at":"2026-06-29T06:05:25Z","title":"Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T06:17:01.095199Z"},"links":{"cited_paper":"/paper/2508.10824","citing_paper":"/paper/2606.29824"},"observation_digest":"sha256:a5e939b71842672294445733110e5fc872c352b9d29c3546e6a9103c795e172e","observation_id":"5a146701-fabb-4d8f-ac04-7552218f5540","resolution":{"observed_at":"2026-06-30T06:24:19.541415Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.10824/citation-record","integrity":"/paper/2508.10824/integrity","json":"/paper/2508.10824/citation-record.json","paper":"/paper/2508.10824"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:15:46.828651Z","title":"Adult hippocampal neurogenesis and cognitive flexibility—linking memory and mood","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":1,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:46.828651Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:cce4924983bbb85a0fd37b064b7fbe448be2a790882a673da33cabbaa10081eb","observation_id":"0dec153e-b9ea-4c14-bf25-c3045cd9c022","resolution":{"observed_at":"2026-08-05T20:15:46.828651Z","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":"2026-08-05T20:15:46.911478Z","title":"Global workspace theory (gwt) and prefrontal cortex: Recent developments","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":2,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:46.911478Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:e1637cbb2505987f79bd822c2167b2e2d0bf44cf0be1131be8d8dda7509606e0","observation_id":"f271f2bd-dc92-4019-be20-aab762994801","resolution":{"observed_at":"2026-08-05T20:15:46.911478Z","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":"2026-08-05T20:15:47.068993Z","title":"Working memory: looking back and looking forward","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":3,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.068993Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:b974b8934e22035b2a8a47d16f0e176e9d7381d06bb21b9da3f4598328905efe","observation_id":"db22c04a-c89f-4c6e-a248-6889f1d83dc2","resolution":{"observed_at":"2026-08-05T20:15:47.068993Z","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":"2026-08-05T20:15:47.174204Z","title":"Fast adaptation to rule switching using neuronal surprise","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":4,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.174204Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:8852e2ed3fa19a5416a0b9ea482cd63cb527b8d89a2aa2690a82a60179600c1a","observation_id":"158fd435-5b47-4f76-999c-b567336606a2","resolution":{"observed_at":"2026-08-05T20:15:47.174204Z","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":"2026-08-05T20:15:47.309603Z","title":"Neuromodulators and long-term synaptic plasticity in learning and memory: A steered-glutamatergic perspective","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":5,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.309603Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:7dce0ffc6cab5b0b9c14d674eac2cb3dcbffa5a84dc885d8da6ab88f64e123f7","observation_id":"c2e44bbe-c4c8-4e4a-a4ae-f32890c20d7d","resolution":{"observed_at":"2026-08-05T20:15:47.309603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00663","last_updated":"2024-12-31T22:32:03Z","snapshot_observed_at":"2026-08-16T10:45:05.594811Z","submitted_at":"2024-12-31T22:32:03Z","title":"Titans: Learning to Memorize at Test Time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.00663","snapshot_observed_at":"2026-08-05T20:15:47.423482Z","title":"Titans: Learning to memorize at test time","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":6,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.423482Z"},"links":{"cited_paper":"/paper/2501.00663","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:28f6ede89a1b62cb31d0d49b0316932f5e001ecda0dc028efa9621ae65b0e0cb","observation_id":"41655205-34bf-47be-8330-2cc0705ab7ea","resolution":{"observed_at":"2026-08-05T20:15:47.423482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23735","last_updated":"2025-05-29T17:57:16Z","snapshot_observed_at":"2026-08-14T11:18:31.036773Z","submitted_at":"2025-05-29T17:57:16Z","title":"ATLAS: Learning to Optimally Memorize the Context at Test Time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23735","snapshot_observed_at":"2026-08-05T20:15:47.537098Z","title":"Atlas: Learning to optimally memorize the context at test time","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":7,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.537098Z"},"links":{"cited_paper":"/paper/2505.23735","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:f1733622da354b96e96810391fd42805106f7e8f9c8c8b4d279866d68837baba","observation_id":"d58973ec-a760-467b-868e-1c3284144ef1","resolution":{"observed_at":"2026-08-05T20:15:47.537098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05150","last_updated":"2020-12-02T17:52:35Z","snapshot_observed_at":"2026-07-31T17:17:17.205582Z","submitted_at":"2020-04-10T17:54:09Z","title":"Longformer: The Long-Document Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.05150","snapshot_observed_at":"2026-08-05T20:15:47.663863Z","title":"Longformer: The long-document transformer","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":8,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.663863Z"},"links":{"cited_paper":"/paper/2004.05150","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:d4d153d55d25c8f8e6c568e9c75692ad6c8574612e57ce163de3acf72ebcf204","observation_id":"7d1cdb59-ce39-47ba-9fcf-86e5800c3f5d","resolution":{"observed_at":"2026-08-05T20:15:47.663863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09764","last_updated":"2024-12-20T17:36:52Z","snapshot_observed_at":"2026-08-17T03:24:42.718431Z","submitted_at":"2024-12-12T23:56:57Z","title":"Memory Layers at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09764","snapshot_observed_at":"2026-08-05T20:15:47.770663Z","title":"Memory layers at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":9,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.770663Z"},"links":{"cited_paper":"/paper/2412.09764","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1f19f8db48c0c4659ac6f5af884a38b086327dd3ccf4f4031b40546473f7f851","observation_id":"e140f4af-107e-4240-a8c5-f9d63a2a6042","resolution":{"observed_at":"2026-08-05T20:15:47.770663Z","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":"2026-08-05T20:15:47.906470Z","title":"Improving language models by retrieving from trillions of tokens","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":10,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:47.906470Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:fe38f6f81f6836a333b70091f8cf9c2aad239c4e9b1b6246876529f4f607295f","observation_id":"75644d44-cddb-44d9-b6ca-3e39a274419a","resolution":{"observed_at":"2026-08-05T20:15:47.906470Z","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":"2026-08-05T20:15:48.088263Z","title":"The neuroanatomical, neurophysiological and psychological basis of memory: Current models and their origins","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":11,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.088263Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:59fdf7c51323fb31d7c930acc496b2f0c9c9af5e0b73a6754dbcaee033f98864","observation_id":"81b86d1d-fb3d-4045-83f2-3fe91c1e07b8","resolution":{"observed_at":"2026-08-05T20:15:48.088263Z","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":"2026-08-05T20:15:48.251910Z","title":"An evolved universal transformer memory","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":12,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.251910Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c72b5b82e10676b276aaa59b479a2b46e58747a31f8e48ca0cdf81dfe1b9dbe8","observation_id":"a533a22e-ccff-4c70-b356-bfb7683f1008","resolution":{"observed_at":"2026-08-05T20:15:48.251910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05029","last_updated":"2023-10-08T06:18:14Z","snapshot_observed_at":"2026-08-16T14:54:08.831524Z","submitted_at":"2023-10-08T06:18:14Z","title":"Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05029","snapshot_observed_at":"2026-08-05T20:15:48.378181Z","title":"Walking down the memory maze: Beyond context limit through interactive reading","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":13,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.378181Z"},"links":{"cited_paper":"/paper/2310.05029","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:543e60668eee772681b5b25e38c61488cfb20db283d0572d38229679b7137f0d","observation_id":"a6017f55-86e3-4ea5-a616-3a9a7b5211ac","resolution":{"observed_at":"2026-08-05T20:15:48.378181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19413","last_updated":"2025-04-28T01:46:35Z","snapshot_observed_at":"2026-08-14T23:23:31.683130Z","submitted_at":"2025-04-28T01:46:35Z","title":"Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19413","snapshot_observed_at":"2026-08-05T20:15:48.522343Z","title":"Mem0: Building production-ready ai agents with scalable long-term memory","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":14,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.522343Z"},"links":{"cited_paper":"/paper/2504.19413","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:45f0bfedff933c5ccfe2dfe2a6237e0805ae4f6f22c53734ca653db1d02dade2","observation_id":"a84e2799-41b4-46c6-a5db-6dc81c37648b","resolution":{"observed_at":"2026-08-05T20:15:48.522343Z","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":"2026-08-05T20:15:48.645626Z","title":"Interactions between attention and memory","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":15,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.645626Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:f741b7d8f868d776a8be02699ba37ab4e83bfb985e11745cb092fefce2e7c291","observation_id":"47f90dfe-082a-4fb3-9fc1-83e7d3292b15","resolution":{"observed_at":"2026-08-05T20:15:48.645626Z","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":"2026-08-05T20:15:48.724972Z","title":"Attention-dependent coupling with forebrain and brainstem neuromodulatory nuclei differs across the lifespan","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":16,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.724972Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1683af9a0dd949f256855a893475ee067075ead0bd740a4dd626ada731c8253f","observation_id":"ca3fb1c4-d963-4bd9-bc26-99c0f506a251","resolution":{"observed_at":"2026-08-05T20:15:48.724972Z","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":"2026-08-05T20:15:48.776099Z","title":"What are the differences between long-term, short-term, and working memory? Progress in brain research, 169: 0 323--338, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":17,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.776099Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:32d4f890bc4351da00f019d079ff684e1aafba93e9003ef0389bbdd42121c96e","observation_id":"aa9f7975-ec97-4b02-9cf3-09dcffbe2709","resolution":{"observed_at":"2026-08-05T20:15:48.776099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.02860","last_updated":"2019-06-02T21:21:48Z","snapshot_observed_at":"2026-08-16T17:45:52.864524Z","submitted_at":"2019-01-09T18:28:19Z","title":"Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.02860","snapshot_observed_at":"2026-08-05T20:15:48.863180Z","title":"Transformer-xl: Attentive language models beyond a fixed-length context","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":18,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.863180Z"},"links":{"cited_paper":"/paper/1901.02860","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:a91c2a56d447fbd6478522e404cc59ac2cbaeeb23948ea0cd618be19bb67622f","observation_id":"e8569f20-f214-4a2a-8807-ab9d9f4960ae","resolution":{"observed_at":"2026-08-05T20:15:48.863180Z","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":"2026-08-05T20:15:48.914927Z","title":"The global neuronal workspace model of conscious access: from neuronal architectures to clinical applications","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":19,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.914927Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:737153b9de5361b0371a4398d291d0b58a413721fe1b8c738727a0bb97b0a44e","observation_id":"9117344d-2296-43de-9611-1a590e2aaf1b","resolution":{"observed_at":"2026-08-05T20:15:48.914927Z","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":"2026-08-05T20:15:48.973380Z","title":"Pronouns reactivate conceptual representations in human hippocampal neurons","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":20,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:48.973380Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:17088e04c8b805654c973ebc5b2fc37e8bb098363e23642e3cd5c393e817dd0a","observation_id":"04f2f277-f734-4e82-8eb0-12d971e29c3d","resolution":{"observed_at":"2026-08-05T20:15:48.973380Z","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":"2026-08-05T20:15:49.066835Z","title":"Interaction between the amygdala and the medial temporal lobe memory system predicts better memory for emotional events","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":21,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.066835Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:0d3ba09069002da68260193ac3d7a19713a3ee7534a6d85f551fda65b7eb4c6d","observation_id":"a549e180-149e-474e-9fb0-29d97bd076bc","resolution":{"observed_at":"2026-08-05T20:15:49.066835Z","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":"2026-08-05T20:15:49.150557Z","title":"Rethinking memory in ai: Taxonomy, operations, topics, and future directions","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":22,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.150557Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:53ca19e91eb38b3d0ee26a221d4c07d80e07102ea401cb98b039395526e96504","observation_id":"4af94d78-00b7-4f6c-b3f2-6f2be59b1914","resolution":{"observed_at":"2026-08-05T20:15:49.150557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07263","last_updated":"2025-02-01T05:02:36Z","snapshot_observed_at":"2026-08-16T13:11:22.056372Z","submitted_at":"2024-10-08T20:07:52Z","title":"Toward generalizable learning of all (linear) first-order methods via memory augmented Transformers","version":3},"cited_work":{"arxiv_id":"2410.07263","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.07263","snapshot_observed_at":"2026-08-05T20:16:01.204214Z","title":"Toward generalizable learning of all (linear) first-order methods via memory augmented Transformers","venue":"cs.LG","work_id":"aeeb88ad-75b1-4cd9-b7c7-e953efa60fa0","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":23,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.202974Z"},"links":{"cited_paper":"/paper/2410.07263","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:02f07a21edf623dcdc1ddae74e30716c6f565434b3bfb46121ca7832b9ddfc1e","observation_id":"08b5993b-7735-4d0f-aa39-0fb07aa31b05","resolution":{"observed_at":"2026-08-05T20:16:01.312995Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01380","last_updated":"2025-04-03T13:28:51Z","snapshot_observed_at":"2026-08-15T11:50:56.372845Z","submitted_at":"2024-12-02T11:07:51Z","title":"Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01380","snapshot_observed_at":"2026-08-05T20:15:49.289390Z","title":"Efficient llm inference using dynamic input pruning and cache-aware masking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":24,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.289390Z"},"links":{"cited_paper":"/paper/2412.01380","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:8f723a9df4f671631b7f98f9a9b700cc89da2f4dfbab4a326bc02567ef5c91a5","observation_id":"244a3fa0-3f99-483d-b108-e6139357ad16","resolution":{"observed_at":"2026-08-05T20:15:49.289390Z","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":"2026-08-05T20:15:49.373422Z","title":"Human-like episodic memory for infinite context llms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":25,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.373422Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:9f628cbcf3c082a0a15ec5ce88ca1d4356ba5736b465ae39c9fe5e29ae37419d","observation_id":"00cb8cec-792d-4966-9a12-ee83e19c46ba","resolution":{"observed_at":"2026-08-05T20:15:49.373422Z","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":"2026-08-05T20:15:49.440374Z","title":"Experiencing surprise: The temporal dynamics of its impact on memory","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":26,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.440374Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:9446ab7e2fea2fe2f4b509051a492943dbc8a69ba7cd29958b772aba12d182a1","observation_id":"1bca7deb-2745-4347-8f95-8637043ab5c7","resolution":{"observed_at":"2026-08-05T20:15:49.440374Z","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":"2026-08-05T20:15:49.522153Z","title":"An efficient context-dependent memory framework for llm-centric agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":27,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.522153Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:368f79ff7d51c5a3a8309017e7526eee5683599da01b50452bee68ab0ad80d94","observation_id":"ee9e7e5f-d700-4517-89ea-7d9cd88059f6","resolution":{"observed_at":"2026-08-05T20:15:49.522153Z","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":"2026-08-05T20:15:49.583205Z","title":"Memotr: Long-term memory-augmented transformer for multi-object tracking","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":28,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.583205Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:30fc9f8d531d1c32b079abcedcfbf6af2275467f773cd0ac255a22e68b26ffed","observation_id":"5ca67564-16a0-4a56-acd2-09a022ebfad1","resolution":{"observed_at":"2026-08-05T20:15:49.583205Z","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":"2026-08-05T20:15:49.658783Z","title":"Top-down modulation: bridging selective attention and working memory","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":29,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.658783Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:2a6907aa176ef14669fa2a672985b38a471c3873395a9a8bef8f2af8dd597ab3","observation_id":"d052b446-88ba-4c9f-b691-42506e54d521","resolution":{"observed_at":"2026-08-05T20:15:49.658783Z","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":"2506.01084","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:00.938267Z","title":"zip2zip: Inference-time adaptive vocabularies for language models via token compression","venue":null,"work_id":"0505eeb7-57e5-410d-9515-bd04542f0a25","year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":30,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.725578Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1ce9631acdd97907fcafaf6c3443ecd4f6a05e4df7d25252115a7a633d8eada6","observation_id":"cf36e361-6467-40a2-98bc-c6d7754fe00d","resolution":{"observed_at":"2026-08-05T20:16:01.027498Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T20:15:49.797189Z","title":"The role of the ca3 hippocampal subregion in spatial memory: a process oriented behavioral assessment","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":31,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.797189Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:bcc6d5ea1c7d28ca4401d6f2c7c485a748643d38abffe38bf25acfccbfbaca9f","observation_id":"a95cc3a7-9bd7-4253-878c-6aa155428917","resolution":{"observed_at":"2026-08-05T20:15:49.797189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.5401","last_updated":"2014-12-10T16:01:39Z","snapshot_observed_at":"2026-08-12T12:07:42.706444Z","submitted_at":"2014-10-20T19:28:26Z","title":"Neural Turing Machines","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.5401","snapshot_observed_at":"2026-08-05T20:15:49.866557Z","title":"Neural turing machines","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":32,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.866557Z"},"links":{"cited_paper":"/paper/1410.5401","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:fc167e5e8f7cbf1b066886a07d5e0f7b0d519d0ec3ed7578870dca7907aef7c9","observation_id":"3f66a979-647b-4133-b441-21f375fd9f15","resolution":{"observed_at":"2026-08-05T20:15:49.866557Z","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":"2026-08-05T20:15:49.931824Z","title":"Hybrid computing using a neural network with dynamic external memory","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":33,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.931824Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:8e23c52b49d474f5e82154c5686a275c8afe50755007bbca8a3e2fbb8fa4d6cd","observation_id":"60768f63-f2fc-4295-865f-5ce9a4cb8e0d","resolution":{"observed_at":"2026-08-05T20:15:49.931824Z","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":"2026-08-05T20:15:49.998334Z","title":"Hipporag: Neurobiologically inspired long-term memory for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":34,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:49.998334Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:659c14a7e2d861876e69c67c5e9762a38b8e355c1b940389a48afd4436b7f886","observation_id":"0ec11907-3883-411a-8775-f604c8a06893","resolution":{"observed_at":"2026-08-05T20:15:49.998334Z","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":"2026-08-05T20:15:50.085790Z","title":"Hierarchical process memory: memory as an integral component of information processing","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":35,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.085790Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:88f4e09fdd564d8159a981cf6b52a7f662fe3ed42bcf55575c34535d0243fbec","observation_id":"5f5e62fa-b651-410c-a862-ffcd11dd5fad","resolution":{"observed_at":"2026-08-05T20:15:50.085790Z","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":"2026-08-05T20:15:50.142181Z","title":"Memory matters: The need to improve long-term memory in llm-agents","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":36,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.142181Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:e0b7911eb907d002cd84fc70bc8b4c5972f161d1a7f12f98421446ee38cc3bc6","observation_id":"03c31ad8-9b67-4043-b73e-4a6c65b538a3","resolution":{"observed_at":"2026-08-05T20:15:50.142181Z","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":"2026-08-16T13:53:56.018075Z","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":"2026-08-05T20:15:50.239210Z","title":"Hmt: Hierarchical memory transformer for efficient long context language processing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":37,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.239210Z"},"links":{"cited_paper":"/paper/2405.06067","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c553ec927f251dfeebf78e40b112105949ac6463f20c2cfce62da12d9effc5ef","observation_id":"13e9c1b8-f029-4751-be2e-9df64034e5c3","resolution":{"observed_at":"2026-08-05T20:15:50.239210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00489","last_updated":"2025-01-12T06:08:20Z","snapshot_observed_at":"2026-08-16T13:03:50.738167Z","submitted_at":"2024-11-01T10:04:01Z","title":"Human-inspired Perspectives: A Survey on AI Long-term Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00489","snapshot_observed_at":"2026-08-05T20:15:50.332804Z","title":"Human-inspired perspectives: A survey on ai long-term memory","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":38,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.332804Z"},"links":{"cited_paper":"/paper/2411.00489","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1b950f35f8c4be3fdc9e8167bd909687815b07ad2c885e8404ab768fc8087e07","observation_id":"b6bc4f73-7d25-4935-981e-51858285e113","resolution":{"observed_at":"2026-08-05T20:15:50.332804Z","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":"2026-08-05T20:15:50.406673Z","title":"Replay bursts in humans coincide with activation of the default mode and parietal alpha networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":39,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.406673Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:dde98a868f4aee66637e31b90ccb9bf946ec42f0b22663c14528f409ab1af0dd","observation_id":"68a4e3a3-c6ef-4837-8734-d5e7989dc800","resolution":{"observed_at":"2026-08-05T20:15:50.406673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09173","last_updated":"2024-05-07T13:23:46Z","snapshot_observed_at":"2026-08-16T14:01:08.127394Z","submitted_at":"2024-04-14T07:43:45Z","title":"TransformerFAM: Feedback attention is working memory","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09173","snapshot_observed_at":"2026-08-05T20:15:50.468311Z","title":"Transformerfam: Feedback attention is working memory","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":40,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.468311Z"},"links":{"cited_paper":"/paper/2404.09173","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:502528eeca3c796099f9fb74c49cdca55514b1316b6da7dd1e82bea082b5c557","observation_id":"c7907729-c520-4c64-a8de-a5af13ca3879","resolution":{"observed_at":"2026-08-05T20:15:50.468311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06326","last_updated":"2025-05-30T15:36:51Z","snapshot_observed_at":"2026-08-14T17:20:40.849177Z","submitted_at":"2025-05-30T15:36:51Z","title":"Memory OS of AI Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06326","snapshot_observed_at":"2026-08-05T20:15:50.586872Z","title":"Memory os of ai agent","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":41,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.586872Z"},"links":{"cited_paper":"/paper/2506.06326","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:00ac9d63eb4ca070569a778540ec578feb7c61252de7b8cbe553d39baa2e32cb","observation_id":"39b0966a-2206-46b9-ba56-f2d7193be556","resolution":{"observed_at":"2026-08-05T20:15:50.586872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06049","last_updated":"2025-02-09T22:11:42Z","snapshot_observed_at":"2026-08-14T05:29:30.543600Z","submitted_at":"2025-02-09T22:11:42Z","title":"LM2: Large Memory Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06049","snapshot_observed_at":"2026-08-05T20:15:50.651550Z","title":"Lm2: Large memory models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":42,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.651550Z"},"links":{"cited_paper":"/paper/2502.06049","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:8c3c32029e255dfeac072f97ad9823c89c7de3aedf646c056bd4eaabfe4b4b85","observation_id":"b2a0f437-f212-4e14-a919-471c3198f109","resolution":{"observed_at":"2026-08-05T20:15:50.651550Z","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":"2026-08-05T20:15:50.745859Z","title":"Distinguishing examples while building concepts in hippocampal and artificial networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":43,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.745859Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:a98de6a0ae9e66918efa927d3c48c94cb6922015d2911fca5e78df7414ab9f95","observation_id":"6684d617-75c9-43f4-a6c2-640c655cfdc6","resolution":{"observed_at":"2026-08-05T20:15:50.745859Z","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":"2026-08-05T20:15:50.840153Z","title":"Mechanisms of systems memory consolidation during sleep","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":44,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.840153Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:42d6f721f937c60abdb58869a674235d62692a1c8d2490839a4c791124cea88c","observation_id":"40255141-4bb6-4864-9bd6-55630a64948d","resolution":{"observed_at":"2026-08-05T20:15:50.840153Z","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":"2026-08-05T20:15:50.904900Z","title":"Memreasoner: A memory-augmented llm architecture for multi-hop reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":45,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.904900Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:f5a90fe3fcf32d448a5ffcad20b7ea50d7e03c0c8587a1beb960cbc26ed4affc","observation_id":"4aba056b-ff80-4855-a32a-3cc1caa557bf","resolution":{"observed_at":"2026-08-05T20:15:50.904900Z","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":"2026-08-05T20:15:50.984616Z","title":"Flexible working memory through selective gating and attentional tagging","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":46,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:50.984616Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:f286ed8dc448707d81c19c3adb9f3f5bd3532fef8915cfeadadef0964be4bcb7","observation_id":"02d4b60c-85db-409b-897a-c327dbaf1ce6","resolution":{"observed_at":"2026-08-05T20:15:50.984616Z","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":"2026-08-05T20:15:51.069858Z","title":"Semantic memory: A review of methods, models, and current challenges","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":47,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.069858Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:e5ee2961dbdf9d092a39e93aa2bb92d0e94e984090338004a1ae1a0836fead66","observation_id":"d9c10200-9758-40c8-b1e9-9c296d1f4a37","resolution":{"observed_at":"2026-08-05T20:15:51.069858Z","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":"2026-08-05T20:15:51.166895Z","title":"Self-attentive associative memory","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":48,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.166895Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:151c0eb8908f02514dd7bcb391ff4760bc985fe3a9f6b3eddce302ba3a3139d2","observation_id":"b0fb1552-95fb-46e8-9804-ca91e08109e6","resolution":{"observed_at":"2026-08-05T20:15:51.166895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02273","last_updated":"2025-04-03T04:46:17Z","snapshot_observed_at":"2026-08-16T12:44:23.861114Z","submitted_at":"2025-04-03T04:46:17Z","title":"Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02273","snapshot_observed_at":"2026-08-05T20:15:51.253468Z","title":"Reasoning under 1 billion: Memory-augmented reinforcement learning for large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":49,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.253468Z"},"links":{"cited_paper":"/paper/2504.02273","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1ec4a18e905a1bb7010e196cdb77bf2e576cd9152cbc10656b337f648fade552","observation_id":"44bc586b-1eaf-4ac2-b9d4-6d0ac48b6fb3","resolution":{"observed_at":"2026-08-05T20:15:51.253468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04670","last_updated":"2024-06-07T06:35:37Z","snapshot_observed_at":"2026-08-16T13:45:16.389054Z","submitted_at":"2024-06-07T06:35:37Z","title":"MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources","version":1},"cited_work":{"arxiv_id":"2406.04670","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04670","snapshot_observed_at":"2026-08-05T20:16:00.539855Z","title":"MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources","venue":"cs.CL","work_id":"9951a357-61b2-4a24-8518-37c0dacf324d","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":50,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.322248Z"},"links":{"cited_paper":"/paper/2406.04670","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:86cb1cbc5db4de9cffe7e34c1cb901d556bfa274daf3bcbced7f296da77f662b","observation_id":"deb25ae3-f7d9-4546-b1da-f153e5cbf968","resolution":{"observed_at":"2026-08-05T20:16:00.648309Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T20:15:51.385170Z","title":"An update on memory reconsolidation updating","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":51,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.385170Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:35464e7a9272cdd043eb29be085823253e6f346c619fc3d3f8acbe62a5c33e5d","observation_id":"de820256-72c1-487a-8d51-1ad93c4a0b10","resolution":{"observed_at":"2026-08-05T20:15:51.385170Z","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":"2026-08-05T20:15:51.458760Z","title":"u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \\","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":52,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.458760Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:511816c85f33f86d257c22694d27616fae99a0ad9574d9430ceef43f4a37a04d","observation_id":"58026c36-3c16-4262-96d3-aadf9628e661","resolution":{"observed_at":"2026-08-05T20:15:51.458760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21349","last_updated":"2025-06-19T05:54:43Z","snapshot_observed_at":"2026-08-16T13:05:25.409449Z","submitted_at":"2024-10-28T12:18:22Z","title":"FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system","version":5},"cited_work":{"arxiv_id":"2410.21349","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.21349","snapshot_observed_at":"2026-08-05T20:16:00.290502Z","title":"FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system","venue":"cs.LG","work_id":"5e10cac3-5683-4f9d-97a2-478cf822bb07","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":53,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.528215Z"},"links":{"cited_paper":"/paper/2410.21349","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c5cbf166e15526466725b4c161f908c426c2cdd0dfde5af0a7095fbda3fd745c","observation_id":"ee9f0ab8-3b6d-4c96-a55b-9b719cae7519","resolution":{"observed_at":"2026-08-05T20:16:00.407589Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00872","last_updated":"2025-04-20T16:01:12Z","snapshot_observed_at":"2026-08-16T13:22:14.641485Z","submitted_at":"2024-09-01T23:36:34Z","title":"Self-evolving Agents with reflective and memory-augmented abilities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00872","snapshot_observed_at":"2026-08-05T20:15:51.595012Z","title":"Self-evolving agents with reflective and memory-augmented abilities","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":54,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.595012Z"},"links":{"cited_paper":"/paper/2409.00872","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1d95c305917df7f18ccf6783214f26304af9d338189667882e3e6c3ee5ba38fc","observation_id":"45c61e15-892a-45e4-af74-55f4352bff8a","resolution":{"observed_at":"2026-08-05T20:15:51.595012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01990","last_updated":"2025-08-02T12:44:02Z","snapshot_observed_at":"2026-08-12T16:45:40.094278Z","submitted_at":"2025-03-31T18:00:29Z","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01990","snapshot_observed_at":"2026-08-05T20:15:51.673542Z","title":"Advances and challenges in foundation agents: From brain-inspired intelligence to evolutionary, collaborative, and safe systems","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":55,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.673542Z"},"links":{"cited_paper":"/paper/2504.01990","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:b50cbc6ce50e42dc43418413d77c57cc89db54da134a81d32d38c3a8bf10eaac","observation_id":"cbe04e86-d678-437c-ba01-f662235246e5","resolution":{"observed_at":"2026-08-05T20:15:51.673542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08719","last_updated":"2023-11-15T06:08:35Z","snapshot_observed_at":"2026-08-16T14:43:12.126081Z","submitted_at":"2023-11-15T06:08:35Z","title":"Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08719","snapshot_observed_at":"2026-08-05T20:15:51.766951Z","title":"Think-in-memory: Recalling and post-thinking enable llms with long-term memory","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":56,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.766951Z"},"links":{"cited_paper":"/paper/2311.08719","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:5955147b3d9de9cdacac5910e1a4ef9aec19013e19e1e0b6648f613e885e286b","observation_id":"bef144f2-af9e-468a-bccc-d7304fff4c1e","resolution":{"observed_at":"2026-08-05T20:15:51.766951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16967","last_updated":"2024-08-30T02:01:56Z","snapshot_observed_at":"2026-08-16T13:22:46.344392Z","submitted_at":"2024-08-30T02:01:56Z","title":"MemLong: Memory-Augmented Retrieval for Long Text Modeling","version":1},"cited_work":{"arxiv_id":"2408.16967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.16967","snapshot_observed_at":"2026-08-05T20:15:59.886458Z","title":"MemLong: Memory-Augmented Retrieval for Long Text Modeling","venue":"cs.CL","work_id":"63776ff0-b39c-49ee-92bd-ae9983124751","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":57,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.863210Z"},"links":{"cited_paper":"/paper/2408.16967","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:85f799c0ed2ff9faeeb46b3f60377898a731fdba43c6fe6fc7d85a42f30ebd86","observation_id":"33fbfe49-ec23-4a84-944c-b696966bafb4","resolution":{"observed_at":"2026-08-05T20:16:00.031374Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T20:15:51.944919Z","title":"Experience replay is associated with efficient nonlocal learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":58,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:51.944919Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:7ab3d7d9007fe51ebc3246cf6f653eff3c41f9dca4c828a6025a51295bf756cb","observation_id":"0ba22905-3e26-4274-b271-aed8ecb6647b","resolution":{"observed_at":"2026-08-05T20:15:51.944919Z","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":"2026-08-05T20:15:52.025051Z","title":"Acquiring new memories in neocortex of hippocampal-lesioned mice","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":59,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.025051Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:3a8ab0026239eed4128d52e118bab9816223f6acca7c338b5c79dc8f7467553a","observation_id":"8e12c9c8-657b-4706-a21c-796e419edf07","resolution":{"observed_at":"2026-08-05T20:15:52.025051Z","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":"2026-08-05T20:15:52.116455Z","title":"Memory-augmented graph neural networks: A brain-inspired review","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":60,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.116455Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:aab482470c1c615544cd8fa2c25c15f5ee56d6c8f5dc6cb00aadacbd848affad","observation_id":"422f2d09-6547-4a36-a4fc-8f386e1bac65","resolution":{"observed_at":"2026-08-05T20:15:52.116455Z","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":"2026-08-05T20:15:52.195805Z","title":"The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":61,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.195805Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:46f48b16246772d1ef7d8663d7a7fe991718a9aba4d556d8e39919bea5ec133e","observation_id":"6754b099-4fd1-4d15-87de-1d408c504f7e","resolution":{"observed_at":"2026-08-05T20:15:52.195805Z","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":"2026-08-05T20:15:52.294407Z","title":"The magical number seven, plus or minus two: Some limits on our capacity for processing information","venue":null,"work_id":null,"year":1956},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":62,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.294407Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:551e8883a89637feead23e37dfeb59f4f018df4090047a259fc388038c25ae8c","observation_id":"c7f76267-df6b-4778-985b-8f47ef71e051","resolution":{"observed_at":"2026-08-05T20:15:52.294407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.11672","last_updated":"2025-04-17T15:10:52Z","snapshot_observed_at":"2026-08-16T13:59:59.343348Z","submitted_at":"2024-04-17T18:13:16Z","title":"MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.11672","snapshot_observed_at":"2026-08-05T20:15:52.385854Z","title":"o ksal, Ayyoob Imani, Mohsen Fayyaz, and Hinrich Sch \\","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":63,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.385854Z"},"links":{"cited_paper":"/paper/2404.11672","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:3809f6c3199681f3ee479e478c8743b2f67ac5469982b736a41787e145033b04","observation_id":"ef7c014d-7889-4b7d-8293-511355d1c3f6","resolution":{"observed_at":"2026-08-05T20:15:52.385854Z","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":"2026-08-05T20:15:52.474591Z","title":"Episodic memory and beyond: the hippocampus and neocortex in transformation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":64,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.474591Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:364e4215edb9ff95bc7a6143d18e8d864aa0f2fa4b2932a6bc6450236971b05b","observation_id":"81dbc05b-faf4-4bdd-9659-6b7645ac347c","resolution":{"observed_at":"2026-08-05T20:15:52.474591Z","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":"2026-08-05T20:15:52.622953Z","title":"Memory: Neurobiological mechanisms and assessment","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":65,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.622953Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:00638b6060d339ffc024d5cbc02bdb732a8c6ffdfc1eeb650027f8575c0acc44","observation_id":"8a25fab1-ac7b-414f-a913-f5c6c1bab196","resolution":{"observed_at":"2026-08-05T20:15:52.622953Z","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":"2026-08-05T20:15:52.706382Z","title":"Most brain activity is ‘background noise’—and that’s upending our understanding of consciousness, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":66,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.706382Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c441e2683fccd94a53857eef3e7b3375de00e0ce48f1e45c04c0cfe8ca167a03","observation_id":"f03e8ce1-a63e-45fa-ab8f-f01f222851e1","resolution":{"observed_at":"2026-08-05T20:15:52.706382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09636","last_updated":"2024-07-23T17:55:30Z","snapshot_observed_at":"2026-08-17T17:18:58.724464Z","submitted_at":"2024-03-14T17:59:26Z","title":"Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09636","snapshot_observed_at":"2026-08-05T20:15:52.776309Z","title":"Dynamic memory compression: Retrofitting llms for accelerated inference","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":67,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.776309Z"},"links":{"cited_paper":"/paper/2403.09636","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:274fd4b3023d0aa3238dcc6775c1570162af89e1a0f40a52854847efd4ed1297","observation_id":"65147fb4-8ae0-4ecd-9133-6c47dfc388b1","resolution":{"observed_at":"2026-08-05T20:15:52.776309Z","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":"2026-08-05T20:15:52.845382Z","title":"Functional role of gamma and theta oscillations in episodic memory","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":68,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.845382Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:e4010bbfde91252589d996805968ba5b9a7b20754c9c064af56af19535056631","observation_id":"17115fa1-92a3-4c8d-9932-3a3c8f54ee9e","resolution":{"observed_at":"2026-08-05T20:15:52.845382Z","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":"2026-08-05T20:15:52.963134Z","title":"Memgpt: Towards llms as operating systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":69,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:52.963134Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:2c5d76d2b6d6db5de34facc9363693999ded323226e669eac472fc10b3a95feb","observation_id":"5682c6a7-c76b-43c6-b114-b5fca7438acb","resolution":{"observed_at":"2026-08-05T20:15:52.963134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02488","last_updated":"2022-06-01T23:58:25Z","snapshot_observed_at":"2026-08-16T17:51:34.702381Z","submitted_at":"2021-10-06T03:53:25Z","title":"ABC: Attention with Bounded-memory Control","version":2},"cited_work":{"arxiv_id":"2110.02488","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.02488","snapshot_observed_at":"2026-08-05T20:15:59.568267Z","title":"ABC: Attention with Bounded-memory Control","venue":"cs.CL","work_id":"31bf16d8-3a98-4ae3-a0eb-71baded92b25","year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":70,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.118949Z"},"links":{"cited_paper":"/paper/2110.02488","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:358f7925f23a23843b23a35b17a3304ce4f735f368fc412b538a9e7324fd4da5","observation_id":"0e60410a-d182-4a33-b640-f522cb708f93","resolution":{"observed_at":"2026-08-05T20:15:59.701090Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06975","last_updated":"2025-02-10T19:14:51Z","snapshot_observed_at":"2026-08-14T08:32:12.525435Z","submitted_at":"2025-02-10T19:14:51Z","title":"Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06975","snapshot_observed_at":"2026-08-05T20:15:53.242583Z","title":"Position: Episodic memory is the missing piece for long-term llm agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":71,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.242583Z"},"links":{"cited_paper":"/paper/2502.06975","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:92bba1afd1878c5e062f5fb9c9ec481e3fadd66624643eaecaa6bee386376cf6","observation_id":"3e6fabcd-2ef7-4f45-ac90-37d04d26d226","resolution":{"observed_at":"2026-08-05T20:15:53.242583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12409","last_updated":"2022-04-22T18:20:48Z","snapshot_observed_at":"2026-08-07T11:26:24.970964Z","submitted_at":"2021-08-27T17:35:06Z","title":"Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12409","snapshot_observed_at":"2026-08-05T20:15:53.389573Z","title":"Train short, test long: Attention with linear biases enables input length extrapolation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":72,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.389573Z"},"links":{"cited_paper":"/paper/2108.12409","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:11cab4fa869eb620f42e94f7b2e2d238337c436d1d372815e7908b98ad0868c7","observation_id":"0039e974-2911-4f45-8968-937eeab91df4","resolution":{"observed_at":"2026-08-05T20:15:53.389573Z","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":"2026-08-05T20:15:53.470959Z","title":"Neuromodulation of the feedforward dentate gyrus-ca3 microcircuit","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":73,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.470959Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:3d701ff46caab59d77507ccf5eda24c40953c11139d5ae391fcf86a402ef9909","observation_id":"66bb8d9f-fb9d-4cde-803d-88fb45738781","resolution":{"observed_at":"2026-08-05T20:15:53.470959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06793","last_updated":"2025-03-19T09:24:09Z","snapshot_observed_at":"2026-08-16T13:26:46.757643Z","submitted_at":"2024-08-13T10:25:13Z","title":"Layerwise Recurrent Router for Mixture-of-Experts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06793","snapshot_observed_at":"2026-08-05T20:15:53.576777Z","title":"Layerwise recurrent router for mixture-of-experts","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":74,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.576777Z"},"links":{"cited_paper":"/paper/2408.06793","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:63d24eb0d94b9805d00e2411af7ac3ca781c3cdc7a5337ec421464ee58593b1c","observation_id":"dda300f9-0b54-46ce-8225-b41698fe6dc3","resolution":{"observed_at":"2026-08-05T20:15:53.576777Z","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":"2026-08-05T20:15:53.666625Z","title":"A multisensory perspective of working memory","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":75,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.666625Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:954d7cf4363f333f582df268fb726c9cf857dcff255feef846dfa68e112369c7","observation_id":"488a6d42-a7f9-452a-a70a-0386ef64ba67","resolution":{"observed_at":"2026-08-05T20:15:53.666625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05507","last_updated":"2019-11-13T14:36:01Z","snapshot_observed_at":"2026-08-10T02:15:37.272323Z","submitted_at":"2019-11-13T14:36:01Z","title":"Compressive Transformers for Long-Range Sequence Modelling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05507","snapshot_observed_at":"2026-08-05T20:15:53.765855Z","title":"Compressive transformers for long-range sequence modelling","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":76,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.765855Z"},"links":{"cited_paper":"/paper/1911.05507","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:a9ad60f30e275c92b03672a81fff4d6a62f3edcf7fe1fd3b9648e4f736d2b3f3","observation_id":"948eb287-38f8-4ba1-aeff-1bbcd9720208","resolution":{"observed_at":"2026-08-05T20:15:53.765855Z","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":"2026-08-05T20:16:05.365873Z","title":"A default mode of brain function","venue":null,"work_id":"745504f0-a76d-4959-a391-3498fde7d4ca","year":2001},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":77,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.864625Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:ff2facd5561865382feecc79c925ff54e18ff11069bcb69378a1e45ff608195d","observation_id":"be6f74e5-e72f-4a43-8c54-4f0989e44a92","resolution":{"observed_at":"2026-08-05T20:16:05.455599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:05.180769Z","title":"Adaptive knowledge consolidation: A dynamic approach to mitigating catastrophic forgetting in text-based neural networks","venue":null,"work_id":"0aced520-dc08-4de7-b3d2-845640456f0a","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":78,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:53.971122Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c887f9f67694f0d871da982a390b7bd44c0ee4f25caa2b48b14c492b3b7768e1","observation_id":"928bc64c-177b-4705-a318-3619ea7de44e","resolution":{"observed_at":"2026-08-05T20:16:05.283744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:05.008343Z","title":"Hierarchical dynamics as a macroscopic organizing principle of the human brain","venue":null,"work_id":"00e6349a-de02-41b5-b32c-9d72326c9a2a","year":2020},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":79,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.045536Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:1083a67eb55c46d15315a95d9645a5ee88f36187ad232f23cff23827479b6fff","observation_id":"7215e2f9-2dba-46d9-be36-859e105e9236","resolution":{"observed_at":"2026-08-05T20:16:05.097627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:04.825807Z","title":"Dissociating distinct cortical networks associated with subregions of the human medial temporal lobe using precision neuroimaging","venue":null,"work_id":"f56511e6-b82d-4908-83ad-575fd7742e83","year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":80,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.198414Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:6efa9ccaa794df8fe6b2ca4aa81f798f1d8fd53bbe2b6511835e3304653e747e","observation_id":"81ddb0f2-80bc-4b66-af0e-d948cab222eb","resolution":{"observed_at":"2026-08-05T20:16:04.900342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04841","last_updated":"2025-02-13T20:10:59Z","snapshot_observed_at":"2026-08-16T13:36:39.895655Z","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":"2026-08-15T08:57:34.866483Z","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":"sha256:1c70ea9e93e94eb25a59401f0c7be3ff06119c5311091abee17f65d751d9c2eb","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:04.647495Z","title":"The mechanisms for pattern completion and pattern separation in the hippocampus","venue":null,"work_id":"0db60f67-8bda-4c86-8a49-dfcc279dfdf9","year":2013},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":82,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.469068Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:cf31092c633b8f7351c9539bb5c3d43b870641979908d893f6c3e503e442c881","observation_id":"959e003d-f0ab-45d2-83f4-2851a30661a3","resolution":{"observed_at":"2026-08-05T20:16:04.719450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:04.474983Z","title":"Working memory and neural oscillations: alpha--gamma versus theta--gamma codes for distinct wm information? Trends in cognitive sciences, 18 0 (1): 0 16--25, 2014","venue":null,"work_id":"100d6df2-4e0f-43b8-a73e-360a588675fb","year":2014},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":83,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.506337Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:cf31677efcd599e60c9980155f615d7242c62a6a6ef57dc7be4c16c02287f8f2","observation_id":"9e603330-b0f9-44ca-a3f7-0dc12a0931ae","resolution":{"observed_at":"2026-08-05T20:16:04.556534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:04.341561Z","title":"Deep learning needs a prefrontal cortex","venue":null,"work_id":"8d3bc0c4-ead9-43cb-aa98-ef49c2ee86b2","year":2020},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":84,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.585365Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:50c37a061b12c03e5b3e51f2de433aba597d78bac99be07692b443e2a7e7446e","observation_id":"673d3ba9-58db-405c-9db7-ebe9f05be3e1","resolution":{"observed_at":"2026-08-05T20:16:04.405935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15127","last_updated":"2023-11-20T18:51:29Z","snapshot_observed_at":"2026-08-16T14:49:39.257609Z","submitted_at":"2023-10-23T17:31:55Z","title":"Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15127","snapshot_observed_at":"2026-08-05T20:15:54.726162Z","title":"Open-ended instructable embodied agents with memory-augmented large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":85,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.726162Z"},"links":{"cited_paper":"/paper/2310.15127","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c9063782780f2d0e93dd80ea5d0f3a79451a1f978eef87f70a7c5b03cc9e9832","observation_id":"f9986282-18c9-4d78-8073-7dca55c08df2","resolution":{"observed_at":"2026-08-05T20:15:54.726162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07071","last_updated":"2025-08-13T15:48:10Z","snapshot_observed_at":"2026-08-16T13:11:00.826546Z","submitted_at":"2024-10-09T17:15:30Z","title":"Retrieval-Augmented Decision Transformer: External Memory for In-context RL","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07071","snapshot_observed_at":"2026-08-05T20:15:54.835695Z","title":"Retrieval-augmented decision transformer: External memory for in-context rl","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":86,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.835695Z"},"links":{"cited_paper":"/paper/2410.07071","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:fd2c35bda7373e367fbf500d9cf4be667d1ea028bf3008af2fa6a850031738d0","observation_id":"db42a0b8-f9d8-4dde-9cdd-5fc76b1882c2","resolution":{"observed_at":"2026-08-05T20:15:54.835695Z","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":"2026-08-05T20:16:04.155293Z","title":"Stress and multiple memory systems: from ‘thinking’to ‘doing’","venue":null,"work_id":"eddb37a5-2068-4731-b577-fbf48e992846","year":2013},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":87,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:54.916726Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:19ad92324513e761d7686e36e32ed2dd4f3094bda9dad4e0f8ddb5a546040c31","observation_id":"cecfb67a-6fc4-4567-9b1d-6ad9cc4713fe","resolution":{"observed_at":"2026-08-05T20:16:04.243465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02441","last_updated":"2025-04-24T01:47:25Z","snapshot_observed_at":"2026-08-16T12:44:19.643355Z","submitted_at":"2025-04-03T09:58:19Z","title":"Cognitive Memory in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02441","snapshot_observed_at":"2026-08-05T20:15:55.021037Z","title":"Cognitive memory in large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":88,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.021037Z"},"links":{"cited_paper":"/paper/2504.02441","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:4c43d64c4aed2b7377f46543569f6dfb5887e26e68bda9c976546fb00b0ce924","observation_id":"a4dff890-51f2-4b42-a7a7-a8344da94b03","resolution":{"observed_at":"2026-08-05T20:15:55.021037Z","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":"2026-08-05T20:16:04.000988Z","title":"The neural representations underlying asymmetric cross-modal prediction of words","venue":null,"work_id":"610734b1-2354-40ca-bb55-f801ef640a14","year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":89,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.132115Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:6697a760d13741b4c0e05fba35931b4e84a61953db29d995e29178b350232d1a","observation_id":"d150ec98-1258-4aee-8e9c-3975bde45330","resolution":{"observed_at":"2026-08-05T20:16:04.066278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:03.813493Z","title":"Prediction errors disrupt hippocampal representations and update episodic memories","venue":null,"work_id":"269efffb-32d4-4ca4-b4e3-55370dd54c06","year":2021},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":90,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.235142Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:246a94fed819896b688fbbe2a0da9d85e3c95cfc873adc301a04350d2553b9c0","observation_id":"2bd93bfb-9336-4b86-8dec-6a4974c59f42","resolution":{"observed_at":"2026-08-05T20:16:03.902872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:03.619318Z","title":"Memory consolidation","venue":null,"work_id":"26abade3-d515-4cb5-9376-67cd90673166","year":2015},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":91,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.244301Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:96a0669f4b8f1d2406a165a602148397c413ab969dd6091ab2f8280b4eae5921","observation_id":"43204534-b642-41d1-bb7b-4cf35ab4ee0e","resolution":{"observed_at":"2026-08-05T20:16:03.712119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:03.412061Z","title":"Hippocampal pattern completion is linked to gamma power increases and alpha power decreases during recollection","venue":null,"work_id":"80e6e9cd-b472-4791-bfcc-2d641c95dfab","year":2016},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":92,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.295379Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:ee6cd97052a9ffc443d01e177e33d84f91227421416dd096134116643813b793","observation_id":"fa3315d2-06fd-4f6a-b4e3-4b4cdcd666fa","resolution":{"observed_at":"2026-08-05T20:16:03.482905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:03.207261Z","title":"Transformer-squared: Self-adaptive llms","venue":null,"work_id":"e7a1fa32-a515-4d9a-a053-96dbf13ef321","year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":93,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.404929Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:2cb01ed8996e7c2c1e6bbf058b1b9daa6c578ae7493620be3833d0114b9fed09","observation_id":"53663475-8c2c-44ee-ac5a-25905ea88460","resolution":{"observed_at":"2026-08-05T20:16:03.310567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12862","last_updated":"2025-03-11T09:04:22Z","snapshot_observed_at":"2026-08-16T19:01:44.602316Z","submitted_at":"2023-09-22T13:37:10Z","title":"Associative Transformer","version":4},"cited_work":{"arxiv_id":"2309.12862","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.12862","snapshot_observed_at":"2026-08-05T20:15:59.276396Z","title":"Associative Transformer","venue":"cs.LG","work_id":"db9ec219-b120-4b8d-ba3d-fcce244fbafe","year":2023},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":94,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.470116Z"},"links":{"cited_paper":"/paper/2309.12862","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:3281086781b801d48824dd0bb6f1247130ec8dce6985bd58a1e2d0ddbb0e0e1d","observation_id":"8af73ce1-7e36-44e0-a5e3-4c58721b71a0","resolution":{"observed_at":"2026-08-05T20:15:59.354314Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:03.003019Z","title":"Hippocampal--prefrontal interactions during spatial d ecision-making","venue":null,"work_id":"89955753-0ede-4f91-a620-6665133b567f","year":2022},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":95,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.517652Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c58c4bcc039941b60977c35581f7615b3f6dc06dfaa6cf7a88a86db2b04eac69","observation_id":"3a6554e0-338d-47fd-a184-9ed2e1f20599","resolution":{"observed_at":"2026-08-05T20:16:03.093342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T20:15:55.575343Z","title":"Transformer memory as a differentiable search index","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":96,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.575343Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:6953dc4b5232873c89ca372804dcadf1f9c7c4134e1ed15e1666f985e72f20b8","observation_id":"76b812ad-5e4d-45eb-867e-96e95e124b0e","resolution":{"observed_at":"2026-08-05T20:15:55.575343Z","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":"2026-08-05T20:16:02.922298Z","title":"The hippocampal indexing theory and episodic memory: updating the index","venue":null,"work_id":"4b3f08d0-52e5-48eb-8b9b-c1fe02612366","year":2007},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":97,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.631566Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:c64096f03ea719a9d87274d49f7915e901410c57215a3c8d86827457f6843c2c","observation_id":"f9765a27-059a-4cef-826b-d76cb7a0eb60","resolution":{"observed_at":"2026-08-05T20:16:02.959825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T20:16:02.742807Z","title":"Attention is all you need","venue":null,"work_id":"fbcd5f6f-0c54-42a4-b555-cd858110766b","year":2017},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":98,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.695952Z"},"links":{"citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:e54eb0db6e0f991037b8c90fe68c9ee7233d2bb2b5c268696e33d21491927351","observation_id":"4a070613-67cb-4482-980d-e36054d233c5","resolution":{"observed_at":"2026-08-05T20:16:02.847376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21734","last_updated":"2025-08-04T08:45:08Z","snapshot_observed_at":"2026-08-13T09:09:47.358626Z","submitted_at":"2025-06-26T19:39:54Z","title":"Hierarchical Reasoning Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21734","snapshot_observed_at":"2026-08-05T20:15:55.743036Z","title":"Hierarchical reasoning model","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":99,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.743036Z"},"links":{"cited_paper":"/paper/2506.21734","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:d8df7f9d1e859c890105216be446e6b404ad9432c5c8b90e3c6d035bb2dd8911","observation_id":"caafb1e4-5a48-4a52-a133-1e7ada3cd790","resolution":{"observed_at":"2026-08-05T20:15:55.743036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10482","last_updated":"2024-09-27T12:12:19Z","snapshot_observed_at":"2026-08-16T13:18:05.942588Z","submitted_at":"2024-09-16T17:18:11Z","title":"Schrodinger's Memory: Large Language Models","version":3},"cited_work":{"arxiv_id":"2409.10482","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.10482","snapshot_observed_at":"2026-08-05T20:15:59.117892Z","title":"Schrodinger's Memory: Large Language Models","venue":"cs.CL","work_id":"5ffdf446-779c-43be-894a-4e77c9ab6db7","year":2024},"citing_paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","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":100,"source":"arxiv_source","source_observed_at":"2026-08-05T20:15:55.827576Z"},"links":{"cited_paper":"/paper/2409.10482","citing_paper":"/paper/2508.10824"},"observation_digest":"sha256:6df145cd8960e0b0b90c95f908d9ba2ad03c0942130494f7d315cb0ea6a3e25c","observation_id":"714758bf-c7cf-417d-bad2-80a1edc6f5a7","resolution":{"observed_at":"2026-08-05T20:15:59.195019Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.10824","last_updated":"2025-08-16T03:17:35Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T08:57:34.866483Z","submitted_at":"2025-08-14T16:48:38Z","title":"Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":76,"verified_exact":7,"verified_fuzzy":16},"total_outbound_references":124},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 2 inbound Pith citation observations for arXiv:2508.10824."}