{"as_of":"2026-08-12T07:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d38e557c825a35b1fd2545f93af34a7030a3be0208f5b3156225dfc4817f8b61","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T01:09:33.458483Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.25110/citation-record","integrity":"/paper/2607.25110/integrity","json":"/paper/2607.25110/citation-record.json","paper":"/paper/2607.25110"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-31T01:09:30.627412Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:30.627412Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:0fe1b5f5b4f1510f5350b6de1660b10dd0d97069e51b8f6194042d96df7a4180","observation_id":"7f683eb5-9283-4390-90d9-f14c9a27eea3","resolution":{"observed_at":"2026-07-31T01:09:30.627412Z","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":"2026-07-31T01:09:30.726104Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:30.726104Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:e84e10036ca81277cbaeb6abc5cb385042f255569e6f37ddb2b29993e3ab3465","observation_id":"35682380-638c-4ab3-ba9f-a62cc258f1b4","resolution":{"observed_at":"2026-07-31T01:09:30.726104Z","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":"2026-07-31T01:09:30.824843Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:30.824843Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:4e614ac14a18de707d4c94223000cc207344c61482f3d548c2d616d639fc3d78","observation_id":"e729e34c-64df-496e-a254-7ad3478f7766","resolution":{"observed_at":"2026-07-31T01:09:30.824843Z","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":"2026-07-31T01:09:30.933057Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:30.933057Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:297944b1e83be198f6eab231f5b08be5cef7f9f26ec37098b2008f6b4379b087","observation_id":"8498f878-d6d3-4df0-aacb-007c7962592f","resolution":{"observed_at":"2026-07-31T01:09:30.933057Z","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":"2026-07-31T01:09:31.025712Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.025712Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:d7ae5be7f74c697d68a15aa10e7bdfc040579576acdd796f29164b87fee556c7","observation_id":"1fa7fbca-8387-47d1-9539-69f5c81e48b4","resolution":{"observed_at":"2026-07-31T01:09:31.025712Z","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":"2026-08-11T04:59:07.012142Z","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":"2026-07-31T01:09:31.109631Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.109631Z"},"links":{"cited_paper":"/paper/1410.5401","citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:c7df3b3502e0a19564410db942a1c72292d64fa42a809af5edd9318e5699d85b","observation_id":"b5caa1eb-3788-4e79-8eb6-75acfb257d59","resolution":{"observed_at":"2026-07-31T01:09:31.109631Z","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":"2026-07-31T01:09:31.219569Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.219569Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:ff9ebab91bc47d8be704727659d63ad4faf51759a9a481ccdeac7e781ff62a94","observation_id":"273eb238-694e-4f1d-b571-10ec5d69a867","resolution":{"observed_at":"2026-07-31T01:09:31.219569Z","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":"2026-07-31T01:09:31.301060Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.301060Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:4bd24e79d44804e36baf9c4c01fc2c686b7eb12fa8c0eca8e0d824650fdf12b8","observation_id":"f615186e-a48e-4bc0-b9c5-9e29830bfb72","resolution":{"observed_at":"2026-07-31T01:09:31.301060Z","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":"2026-07-31T01:09:31.527272Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.527272Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:d12d574f13ea7fee0de10239961f931b45c9af5f9bb7c6ea46aba617a427cca7","observation_id":"e2adf547-44a8-4829-8d95-d6455e239aa8","resolution":{"observed_at":"2026-07-31T01:09:31.527272Z","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":"2026-07-31T01:09:31.675444Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.675444Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:2cc4ed1d61aa775c8975b8f193182d270821dbdba81f97ac8b0715511920760c","observation_id":"00f7e2e3-525f-47ca-b58f-3e9a80050405","resolution":{"observed_at":"2026-07-31T01:09:31.675444Z","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":"2026-07-31T01:09:31.803604Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.803604Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:9ab998809a975561e696ed22a1972bc8e70afc26d3d99cb6fe02ef31f746e9f8","observation_id":"b05b8ccc-7100-4c8b-a10f-daa437148abc","resolution":{"observed_at":"2026-07-31T01:09:31.803604Z","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":"2026-07-31T01:09:31.810326Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.810326Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:bfac06b5a0eca184837eeb192b28ada66f564010b2da134d8153ffbbc957622a","observation_id":"1007eaf8-cfd1-4fbf-ad06-b118b98486fc","resolution":{"observed_at":"2026-07-31T01:09:31.810326Z","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":"2026-07-31T01:09:31.884287Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.884287Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:34791b3b991ac76f7cec270011c13f51f79a8633e65f76631529fb99fc58fbd7","observation_id":"f62b2362-6f6d-4733-9d49-c2b99cfc4958","resolution":{"observed_at":"2026-07-31T01:09:31.884287Z","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":"2026-07-31T01:09:32.041082Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.041082Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:dfbb489ab2301e705a42435716c75a445434ca6e03527613bf0d02fc58086411","observation_id":"390456da-8b0c-4af1-9551-6175edf59c05","resolution":{"observed_at":"2026-07-31T01:09:32.041082Z","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":"2026-07-31T01:09:32.091838Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.091838Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:bb8374a942f724b44e73639538ab5b5450056b85a12cea950150ddfdea539ff2","observation_id":"65388563-e873-49f0-8d46-d556a817a486","resolution":{"observed_at":"2026-07-31T01:09:32.091838Z","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":"2026-07-31T01:09:32.136965Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.136965Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:cbdbaee268885e235a6bffce97e4e6d173aae61feed594381807e95e66a4df7d","observation_id":"44c4347e-eacc-4495-905e-91b6ed62ae1c","resolution":{"observed_at":"2026-07-31T01:09:32.136965Z","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":"2026-07-31T01:09:32.229304Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.229304Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:2a9f6a56307fa48f5768925d7b30cd4a9ddf78645ae170cb7c39dcd7d69446cb","observation_id":"728b74d0-1ad5-42d1-8540-891c15772ee9","resolution":{"observed_at":"2026-07-31T01:09:32.229304Z","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":"2026-07-31T01:09:32.353291Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.353291Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:25fba9db6731ab424ac2487d76d5173b624699d6b77917f60a5981df79c3040c","observation_id":"3cda200e-00b0-44b2-9e86-cfa24490afaf","resolution":{"observed_at":"2026-07-31T01:09:32.353291Z","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":"2026-07-31T01:09:32.394095Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.394095Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:4a7ad395143ca4c7e8b7224683c7c185f172d873ce5e0487062076ed28e433e6","observation_id":"c62249d5-0037-4be8-8cec-2943a7ed4ce6","resolution":{"observed_at":"2026-07-31T01:09:32.394095Z","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":"2026-07-31T01:09:32.424329Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.424329Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:c4ea7299dee0411e3276c6e5cda7cb65eee1259d659280e1d2a7bcc4006eba8a","observation_id":"dad6a905-6b35-4433-9fa4-fe9e1af3a631","resolution":{"observed_at":"2026-07-31T01:09:32.424329Z","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":"2026-07-31T01:09:32.475787Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.475787Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:5ab0a7c8445659620055f60a62e449cea7909cc3ddf3617693aa588bae476fa6","observation_id":"ab48fcaa-65ac-4adb-bafd-401a7b316ef9","resolution":{"observed_at":"2026-07-31T01:09:32.475787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00091","last_updated":"2019-05-31T21:51:16Z","snapshot_observed_at":"2026-08-02T13:53:54.252223Z","submitted_at":"2019-05-31T21:51:16Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00091","snapshot_observed_at":"2026-07-31T01:09:32.537721Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.537721Z"},"links":{"cited_paper":"/paper/1906.00091","citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:36c2857e95792229c0d6d898b25a4f2091d8f37dfde7b5e95550462a35cb484d","observation_id":"6071f525-5996-4e68-8043-3c7f1107c524","resolution":{"observed_at":"2026-07-31T01:09:32.537721Z","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":"2026-07-31T01:09:32.584589Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.584589Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:c2981cf898d24ad4b26eb9cc29ec3edaf67406fda132f383dc437b8df1617942","observation_id":"c14438ff-1d8e-40c9-8c88-fdbd03b0eec9","resolution":{"observed_at":"2026-07-31T01:09:32.584589Z","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":"2026-07-31T01:09:32.657975Z","title":"Schein, Alexandrin Popescul, Lyle H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.657975Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:d5760d10274ec43d3216db77af05133f898c810f1dd8a671ebcc26651dca815a","observation_id":"3f06c91d-315f-4bcc-9cb3-8c900a7d611d","resolution":{"observed_at":"2026-07-31T01:09:32.657975Z","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":"2026-07-31T01:09:32.766884Z","title":"Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-François Crespo, and Dan Denni- son","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.766884Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:4acc0d67b848828e55f5cf686a1da701004e1d3a43fe6acde857d391dc6139ac","observation_id":"cac18c96-d66c-40b8-a268-53414685a034","resolution":{"observed_at":"2026-07-31T01:09:32.766884Z","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":"2026-07-31T01:09:32.821465Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.821465Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:d9d57ea0d99ce5ac67d33ab15b8fbeda51c1ad8daea7359ee9ba43273df80d15","observation_id":"cf243aee-88a0-4492-87ab-09d560564ee8","resolution":{"observed_at":"2026-07-31T01:09:32.821465Z","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":"2026-07-31T01:09:32.878542Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.878542Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:0d210e21254926e766eb82017ee4b6a886046d2b6b16e49dfb453244b6f11537","observation_id":"cd07ff42-958d-4857-9e36-0480ba2e9d40","resolution":{"observed_at":"2026-07-31T01:09:32.878542Z","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":"2026-07-31T01:09:32.930020Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.930020Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:be94fa072a1af13d864f64fa13f46ee046a06be80b3cfb211bd98b06167535d2","observation_id":"1b1961e5-1657-4f46-9021-df9999a1f88c","resolution":{"observed_at":"2026-07-31T01:09:32.930020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2607.12281","last_updated":"2026-07-14T02:31:32Z","snapshot_observed_at":"2026-08-07T11:52:02.218894Z","submitted_at":"2026-07-14T02:31:32Z","title":"SlimPer: Make Personalization Model Slim and Smart","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.12281","snapshot_observed_at":"2026-07-31T01:09:32.993656Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.993656Z"},"links":{"cited_paper":"/paper/2607.12281","citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:7df568030627163b026ccd4d1bce811247de696f1d8f9270deb466427bde06e2","observation_id":"df2eb8d7-7a33-40ab-8be4-f4fccc1c0c68","resolution":{"observed_at":"2026-07-31T01:09:32.993656Z","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":"2026-07-31T01:09:33.037452Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.037452Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:e72dd065c3a0836c552625d0b1733bbc2f9e49aa00991e579ab53f43a4e070e0","observation_id":"6b32dd3b-bdec-49a9-bf06-17a20da314d1","resolution":{"observed_at":"2026-07-31T01:09:33.037452Z","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":"2026-07-31T01:09:33.101797Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.101797Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:6b5f7e840f3831fb49bba37c23e76eb5974b93daa495470b82526f9b3014d285","observation_id":"81d51255-647f-41cc-8ec8-a9cda1e94b88","resolution":{"observed_at":"2026-07-31T01:09:33.101797Z","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":"2026-07-31T01:09:33.194135Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.194135Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:de451d1f0acdd7126175ac8f6c380720da2a568f1aa28395a2b5506fc9a43417","observation_id":"111bb408-ced9-4ae0-9f2f-173a3597e8fa","resolution":{"observed_at":"2026-07-31T01:09:33.194135Z","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":"2026-07-31T01:09:33.240219Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.240219Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:ec846e07d8bd7080d1964abf9c7506a68000670f260ca81825ab3e98a2e85cd8","observation_id":"33baaaaf-d264-45e1-962e-4f31a7550ccc","resolution":{"observed_at":"2026-07-31T01:09:33.240219Z","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":"2026-07-31T01:09:33.296558Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.296558Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:9d1d96ca194689a214278c26683904e8eb9977c3ee0229bbb844e7a000ebc08a","observation_id":"7835f157-1a2e-440a-8934-bf1541369f23","resolution":{"observed_at":"2026-07-31T01:09:33.296558Z","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":"2026-07-31T01:09:33.136942Z","title":"InProceedings of the DLP-KDD Workshop at KDD","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.136942Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:a0f507dfeedf21d8f553dd210b497484f82fa6a579300bec76629a3eaf646dc9","observation_id":"a79987a5-50f5-43e2-a242-f94825b07391","resolution":{"observed_at":"2026-07-31T01:09:33.136942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.17050","last_updated":"2026-05-14T18:35:53Z","snapshot_observed_at":"2026-08-11T11:01:58.775861Z","submitted_at":"2026-02-19T03:42:57Z","title":"Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.17050","snapshot_observed_at":"2026-07-31T01:09:33.458483Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.458483Z"},"links":{"cited_paper":"/paper/2602.17050","citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:c1f3278f412911a9ebc5d1b931c763eb54086e0cc9bf416bf5b3c60d99035a11","observation_id":"f5693953-f18c-4e42-943b-05d8359d2761","resolution":{"observed_at":"2026-07-31T01:09:33.458483Z","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":"2026-07-31T01:09:33.350823Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.350823Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:843d23077f9caff61b036a827a36857e9acb1b683801d4199659cc1dce60d7e6","observation_id":"f9c8c2c2-1f74-4c13-bdcd-382a08abf395","resolution":{"observed_at":"2026-07-31T01:09:33.350823Z","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":"2026-07-31T01:09:32.715310Z","title":"InProceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.715310Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:6914952d7207f8291289dabe684f0c75737c4229958942b54d9eee2d0ab4aa1d","observation_id":"f6571613-19cf-4caf-baec-24ea840f77e9","resolution":{"observed_at":"2026-07-31T01:09:32.715310Z","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":"2026-07-31T01:09:31.394753Z","title":"InIEEE International Symposium on High-Performance Computer Architecture (HPCA)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:31.394753Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:053c136ebf0ced013e3697de985e9d449087495efd067863afdfd667d6e26647","observation_id":"d8ab7125-fa0f-45d1-85b2-1c1a7414d402","resolution":{"observed_at":"2026-07-31T01:09:31.394753Z","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":"2026-07-31T01:09:32.297547Z","title":"InProceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:32.297547Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:63617870b6703e81c22d6ddb3415ec049ac39515a2a7fc3559cf25a32ca3ab72","observation_id":"90a98bd8-0eb7-4122-b716-6cb333f336c5","resolution":{"observed_at":"2026-07-31T01:09:32.297547Z","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":"2026-07-31T01:09:33.407568Z","title":"InProceedings of Machine Learning and Systems (MLSys)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-07-31T01:09:33.407568Z"},"links":{"citing_paper":"/paper/2607.25110"},"observation_digest":"sha256:b30a1ea2c76ed9f6c393456540f0d6042005adeceb5d02d68febfb7e51152996","observation_id":"30301152-736c-4c82-a623-5a0bbbdfea43","resolution":{"observed_at":"2026-07-31T01:09:33.407568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.25110","last_updated":"2026-07-27T22:15:13Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-10T04:32:46.777656Z","submitted_at":"2026-07-27T22:15:13Z","title":"Memory Layer: Train the In-Model Cache for Recommendation Models"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.25110."}