{"as_of":"2026-08-18T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe72360695a5e50e693dc7fc8dbde2b72e95e9f5e6f6b20f52377045ec386f59","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T12:31:30.985214Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.07388/citation-record","integrity":"/paper/2607.07388/integrity","json":"/paper/2607.07388/citation-record.json","paper":"/paper/2607.07388"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T12:36:14.194871Z","title":null,"venue":null,"work_id":"4239e579-9ace-4e1f-b654-a00b23e0b6ee","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:f3f918a5dad4096a7de8a12ad451b21f43aa890c5e27a8e49fc6e66dd5df5a74","observation_id":"1bf61ab4-97ad-423b-802e-e7c5efe3c386","resolution":{"observed_at":"2026-07-09T12:36:14.196095Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.193035Z","title":null,"venue":null,"work_id":"3c4d9882-912a-4df5-a40d-b3ea51c86a81","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:3f4752370daeb7f875b3679478681c9f6ee14f2cb7441af3dbbd090cd85b49c7","observation_id":"ae93ee8d-1ffa-4864-bc4a-4e9fdd3e8aca","resolution":{"observed_at":"2026-07-09T12:36:14.194327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.202091Z","title":null,"venue":null,"work_id":"6171785f-0170-4071-90f3-574e414454a9","year":2020},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:2cebc196f93df9224e3d41f8a6814f7796bed117687944bfc9eecaaecdf73b47","observation_id":"0012dc01-8f02-42b8-8bb5-8e0033d851e1","resolution":{"observed_at":"2026-07-09T12:36:14.205563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.01318","last_updated":"2023-02-02T18:44:11Z","snapshot_observed_at":"2026-08-13T23:55:57.074762Z","submitted_at":"2023-02-02T18:44:11Z","title":"Accelerating Large Language Model Decoding with Speculative Sampling","version":1},"cited_work":{"arxiv_id":"2302.01318","doi":"10.48550/arxiv.2302.01318","metadata_source":"pith","pith_arxiv_id":"2302.01318","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accelerating Large Language Model Decoding with Speculative Sampling","venue":"cs.CL","work_id":"b53b11e5-8613-439d-9d9d-0e2a9090d79f","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2302.01318","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:e8a4169b8be434c088057e3dbf1e71dde82371b4371900974699b6b5f831ed4b","observation_id":"b3bb3963-e5e4-4529-949f-15bde07d32a8","resolution":{"observed_at":"2026-07-09T12:36:13.992241Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.20948","last_updated":"2026-05-20T09:35:04Z","snapshot_observed_at":"2026-08-17T00:57:37.883767Z","submitted_at":"2026-05-20T09:35:04Z","title":"Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory","version":1},"cited_work":{"arxiv_id":"2605.20948","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.20948","snapshot_observed_at":"2026-07-09T12:36:13.987924Z","title":"Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory","venue":"cs.CL","work_id":"4ee26525-46b1-44b0-839d-15052b3eb143","year":2026},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2605.20948","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:fc0acb4af6a89383ea8a3f6a600357f8616afea3171a5c2c549e221a84b133f6","observation_id":"2601098a-39b5-487d-997c-9ff0927fe969","resolution":{"observed_at":"2026-07-09T12:36:13.989597Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.07372","last_updated":"2026-07-12T07:41:31Z","snapshot_observed_at":"2026-08-15T16:31:19.460938Z","submitted_at":"2026-01-12T09:54:49Z","title":"Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models","version":2},"cited_work":{"arxiv_id":"2601.07372","doi":"10.48550/arxiv.2601.07372","metadata_source":"pith","pith_arxiv_id":"2601.07372","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models","venue":"cs.CL","work_id":"942d7453-d7f7-4ad9-8180-e04bd226f6e5","year":2026},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2601.07372","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:09da8cade2de0371fa7bc8cb2c2ea4a93348e4c49f353c55ff8f5fd6d5ec3fef","observation_id":"3f2e62be-9fc0-42b3-a789-cad75535c455","resolution":{"observed_at":"2026-07-09T12:36:13.989046Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.02311","last_updated":"2022-10-05T06:02:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-05T16:11:45Z","title":"PaLM: Scaling Language Modeling with Pathways","version":5},"cited_work":{"arxiv_id":"2204.02311","doi":"10.48550/arxiv.2204.02311","metadata_source":"pith","pith_arxiv_id":"2204.02311","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"PaLM: Scaling Language Modeling with Pathways","venue":"cs.CL","work_id":"a94f3ef7-2c49-4445-93fe-6ec16aafd966","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2204.02311","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:a24d4b38e40fa0b84e61105850fc8f2ab5544dacac51914ebc1bc90b17332244","observation_id":"72b460c6-d192-423a-bc07-e3a352db385d","resolution":{"observed_at":"2026-07-09T12:36:13.994897Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:25:21.411055+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:25:21.411055+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.198539Z","title":null,"venue":null,"work_id":"7551dc14-03a6-4857-ad81-43d05992d445","year":2024},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:91e6f7df6eb12d6167d57a7a8d0eac49814b1e70cd7a08eb2aedbea94d65b39f","observation_id":"0794f851-9bd6-4743-872e-b72570effe86","resolution":{"observed_at":"2026-07-09T12:36:14.199637Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.213605Z","title":"Fu, Stefano Ermon, Atri Rudra, and Christopher R’e","venue":null,"work_id":"75f1b179-f1ac-4d58-9365-a8980cfd9646","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:8bf36524c2617fb216a948e27aed59e02ae059b6aae1b86a45d2288c86045bf0","observation_id":"8e12b26b-c804-4142-8623-1bacd889cbe1","resolution":{"observed_at":"2026-07-09T12:36:14.214736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.175760Z","title":null,"venue":null,"work_id":"fa02d59e-5044-4cdb-b439-dea86d466773","year":2019},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:8e854c5d0137bc5ffecc24d7ea8936b2b75471c7a9af5430b190d6f0c2e7a7de","observation_id":"5a44938f-5b56-42b8-85de-ab05743cd225","resolution":{"observed_at":"2026-07-09T12:36:14.176994Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.194175Z","title":null,"venue":null,"work_id":"4537b247-ada8-4245-beec-521c8d940b53","year":null},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:1397639e6fdb6a184d28e5e9134f5c3bdff286d60b003ad80469c597b5352957","observation_id":"917980e4-0a1b-4c3b-a6aa-4fce66357b1f","resolution":{"observed_at":"2026-07-09T12:36:14.195693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.200935Z","title":"InProceed- ings of the International Conference on Machine Learning","venue":null,"work_id":"959ef3e1-0278-4162-993b-1bfd43381e30","year":null},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:f4ccaad3e921feeb59031c1f567b0c5dc47f823cb8861bc2494b2c4531a6bd33","observation_id":"5cbbd847-1887-4cda-879f-c7a37852ea3c","resolution":{"observed_at":"2026-07-09T12:36:14.202487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-09T19:52:33.533277Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":"2203.15556","doi":"10.1098/rsta.2024.0522","metadata_source":"pith","pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Training Compute-Optimal Large Language Models","venue":"cs.CL","work_id":"b2faf28d-86b7-429c-bc42-469458efc246","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:8ed2ae3068a1c08683eadaaf91cc2d380899bd231e39ca9df03ca7515bee5d5b","observation_id":"5990b55f-125b-44b7-8b09-50a3584dc5e0","resolution":{"observed_at":"2026-07-09T12:36:13.999972Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.211964Z","title":null,"venue":null,"work_id":"6198b4bf-0ada-49d4-86a4-bb8e2ead424e","year":2019},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:d56f608d0b2b3fa5a92879739508381124aae5ca5f6e17919990a0b75655fcf5","observation_id":"f37d8ee6-ae62-4209-bd48-fed7f8a7470f","resolution":{"observed_at":"2026-07-09T12:36:14.213051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.217379Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"7bd9b57e-8988-4a81-b834-f8be9e4aaa9f","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:070228c719ed7dcf5941b92cfa51fdf577ae71b08688edc2fb43ab73b55d43b0","observation_id":"1cc78dc8-3303-4ccd-9718-50013c29c092","resolution":{"observed_at":"2026-07-09T12:36:14.218934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.219519Z","title":null,"venue":null,"work_id":"a9150c05-ed7b-4744-a3e4-906dc6b58b50","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:1599504f82b288db88c0566618f00a865edb4cb59af7b2d4d02f916ed9315c6f","observation_id":"dc5bf50b-3718-4765-ab9b-c8e5b15c607d","resolution":{"observed_at":"2026-07-09T12:36:14.220708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.175990Z","title":null,"venue":null,"work_id":"97f918dd-9405-4401-ae12-64f8ef76f44f","year":2011},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:4b70c33d69949f90c5ec6d57c76dfd250915999816b12d3632699d483e7e5fe6","observation_id":"09f130dc-2963-4f3d-88b4-661f2e35ddea","resolution":{"observed_at":"2026-07-09T12:36:14.177243Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.180747Z","title":null,"venue":null,"work_id":"e9cccc00-8d1f-493d-a5a3-57764cf441a6","year":2019},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:f1ca3e1dc8230f42c3bb85a238ea6cf59f0f60b051b385c44f55113f187d5ca6","observation_id":"1293cfa2-0d06-41c3-a10a-1212e1934cc5","resolution":{"observed_at":"2026-07-09T12:36:14.182104Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:58586b24a88348bb83c437776827df34f42df87437061c840b7b7b3b90189825","observation_id":"9864e7f5-aec4-4010-80ac-84b085756a2a","resolution":{"observed_at":"2026-07-09T12:36:13.991770Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.196400Z","title":null,"venue":null,"work_id":"45b17d52-aa34-4a0f-86b5-3618ea6ebc7d","year":2020},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:bac5b39e77d2191247c360f0a0fea3aa9beba47a73c9796695ccf829c340781a","observation_id":"a3f9c7a8-efd3-4d25-b421-d1381c6861c5","resolution":{"observed_at":"2026-07-09T12:36:14.198181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.213898Z","title":"Gonzalez, Hao Zhang, and Ion Stoica","venue":null,"work_id":"3bef7775-e70d-4a7c-9fe8-cccdc2cda9dc","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:4938a8f3fceb252f84da9db717fbc8521427025646d2943d1d1f876faaee7b51","observation_id":"18fdc07a-626e-4743-a320-f8c599d9e7ac","resolution":{"observed_at":"2026-07-09T12:36:14.215152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.210140Z","title":null,"venue":null,"work_id":"b56ef5dc-6e2e-4d65-a02d-a0fd0e9e695d","year":2021},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:9a0c50058fb5d51d683b4d408b138fdb7da2bc51726f61b671b7ef4daaff6706","observation_id":"4ca75917-eb50-4783-ace5-c203a24de820","resolution":{"observed_at":"2026-07-09T12:36:14.211328Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.212259Z","title":null,"venue":null,"work_id":"ebbe4cdc-b2ea-4ce0-bc9b-1f920ab39581","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:e9d9ab5052fce3f1e42f1fc116e1dd0549aa8ab66066e1d3712f4e26862c0757","observation_id":"61887776-bddf-43bf-ae50-391c90c82bde","resolution":{"observed_at":"2026-07-09T12:36:14.213305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.183918Z","title":"uttler, Mike Lewis, Wen-tau Yih, Tim Rockt","venue":null,"work_id":"139e7dbc-ec08-4c5a-96c5-28ce53bd9914","year":2020},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:ecad8d4138d859b204de22c80c1fda3d19943d9158f655c5bb241c723c3c5607","observation_id":"8a3c30fe-ca16-461c-867e-667554ffd9ee","resolution":{"observed_at":"2026-07-09T12:36:14.189326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.215688Z","title":null,"venue":null,"work_id":"59e1f494-0096-4c40-b83a-e4b68d4a7369","year":2021},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:26fad6133efdc12f26699af7b2a68cd9c89521c797801844a65904545911518d","observation_id":"c6d3d075-77d0-4408-aa1a-744f67385117","resolution":{"observed_at":"2026-07-09T12:36:14.216764Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.200454Z","title":null,"venue":null,"work_id":"16249080-43f6-4405-bf7f-482de9812875","year":2020},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:aa3affb6c47b0083f581c234785fdff4498396e10a43ffa85f995317d07787ad","observation_id":"ad60fd24-f4bc-46ee-89f8-80f16df45634","resolution":{"observed_at":"2026-07-09T12:36:14.201576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.203037Z","title":null,"venue":null,"work_id":"50c00d5f-28b1-48c1-9c3f-6d5a37df0b1a","year":2021},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:0327f16bb85cdf503be17d424fe66f6958af519b4d1c6f04e69cead50300791b","observation_id":"fcc9bafb-4747-4387-bfbe-a3a999f072a7","resolution":{"observed_at":"2026-07-09T12:36:14.204160Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.207343Z","title":"Fu, Zhiqiang Xie, Beidi Chen, Clark Barrett, Joseph E","venue":null,"work_id":"0bb2ea66-601f-4ce6-987a-4b1cbe01c276","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:7102243c2ddaf0d4966a044f90bdd2da6cc3645b18b2dab89280bfa329680aa7","observation_id":"3b653bc7-9dd2-47c3-8475-fab6c59da387","resolution":{"observed_at":"2026-07-09T12:36:14.211609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":"2302.13971","doi":"10.48550/arxiv.2302.13971","metadata_source":"pith","pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLaMA: Open and Efficient Foundation Language Models","venue":"cs.CL","work_id":"c018fc23-6f3f-4035-9d02-28a2173b2b9d","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:d50daa5a581bab8e0e1646d6503e70dce62f913e08d09754b54f4bb75792a11d","observation_id":"e5a0ef76-8f98-4c0b-ad74-79d33ef182e2","resolution":{"observed_at":"2026-07-09T12:36:13.977889Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-08T16:08:17.350515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-08T16:08:17.350515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":"2307.09288","doi":"10.24963/ijcai.2025/706","metadata_source":"pith","pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","venue":"cs.CL","work_id":"68a5177f-d644-44c1-bd4f-4e5278c22f5d","year":2023},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:ed481aabec8ffb999d6401c107f01e2cb31a4c4de43ef9b103f29e7d4f4da17f","observation_id":"2ffd411b-b9cd-49a1-a292-60772f5dfedc","resolution":{"observed_at":"2026-07-09T12:36:13.985988Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.226025Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"7ff23b3e-43e3-4339-b7c6-9486edd5fdae","year":2017},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:58ba660ad68db259118857eb1273eecc2ff8f9feb7156835ad938aa388bf7720","observation_id":"6deb434e-355f-49e3-9fb1-1cf27498190f","resolution":{"observed_at":"2026-07-09T12:36:14.227388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:39d13bae08f229300bbb9c2de40a06967bfb5d2bc4bc2407c6c4038378762b45","observation_id":"162dc057-382a-4f8e-b78b-ad723b1756e1","resolution":{"observed_at":"2026-07-09T12:36:13.994478Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.224324Z","title":null,"venue":null,"work_id":"78e8bd12-ce6a-47bd-8fe8-bc9a447fc6cc","year":2022},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:cdd6bc561deb1b270ad91a4247f85481a2f1c7770418a562d5cb5ad26afaaa21","observation_id":"b2956622-c640-4886-ae24-3ec38ade90a5","resolution":{"observed_at":"2026-07-09T12:36:14.225382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-09T12:36:14.221259Z","title":null,"venue":null,"work_id":"922e73b6-1122-46f0-9c4f-3843c920e630","year":null},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:a51ae19860d76cb085e66bf4f1f3a95d8a80e9b9e93b0b706c0e6ed4970f158e","observation_id":"2a480496-7312-4128-a311-4eaceb1b6b5e","resolution":{"observed_at":"2026-07-09T12:36:14.223182Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05176","last_updated":"2025-06-11T02:54:49Z","snapshot_observed_at":"2026-08-17T07:57:12.232097Z","submitted_at":"2025-06-05T15:49:48Z","title":"Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models","version":3},"cited_work":{"arxiv_id":"2506.05176","doi":"10.1016/j.displa.2025.103255","metadata_source":"pith","pith_arxiv_id":"2506.05176","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models","venue":"cs.CL","work_id":"bab684a8-d933-426c-a19e-2c855a0d1f59","year":2025},"citing_paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-09T12:31:30.985214Z"},"links":{"cited_paper":"/paper/2506.05176","citing_paper":"/paper/2607.07388"},"observation_digest":"sha256:33340d557f46bdab6cba24e088c186999c3561618f780f8403076666043b65e9","observation_id":"a9a75f09-06aa-4a31-8aa3-a80b873760ee","resolution":{"observed_at":"2026-07-09T12:36:13.997170Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.07388","last_updated":"2026-07-08T13:19:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T15:16:59.409017Z","submitted_at":"2026-07-08T13:19:52Z","title":"TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":18,"verified_exact":9,"verified_fuzzy":7},"total_outbound_references":35},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.07388."}