{"as_of":"2026-08-20T18:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c8b14f38330d78c16af18b61145c7de51f837c57e42fafad1d36ba935efffd36","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":"2026-06-27T15:08:25.880424Z","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":"2026-08-20T06:33:59.587034+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/2606.08891/citation-record","integrity":"/paper/2606.08891/integrity","json":"/paper/2606.08891/citation-record.json","paper":"/paper/2606.08891"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":"Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:caa497a8b4e4daba6f02c48facd96de9b9c7d92e8614fb5b9a2d267f239837fe","observation_id":"718401b3-6bc0-49ae-aac2-311d8b92e9f0","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2022.100022","doi":"10.1016/j.memori.2022.100022","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Memories - Materials Devices Circuits and Systems","work_id":"4cec465b-a3f1-4175-815d-84c1b6b35706","year":2022},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:425b167c7d91670540b6441dbb77adb3b2e0600e1481dc773e5b4fd7ef73ec0e","observation_id":"f35e9c0a-5e99-4038-bc48-f631a5c8fc40","resolution":{"observed_at":"2026-06-27T15:10:59.616605Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:8c9685a60c59ea8e3cf40b82856552f2cff5b3d5702b1be11c23c26777e39cf2","observation_id":"c13f2a69-dfe8-4306-b64f-c767775bfe9a","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:8eb5f3771764e8675a906b85db45b584d1a58b4f56175ea90225fac4fb97643c","observation_id":"c7da43eb-83df-4712-9564-d79e68ca204c","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2601.19908","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T03:37:35.521881Z","title":"arXiv:2601.19908 [cs.AR]","venue":null,"work_id":"9daf87f6-00a7-447d-a0d7-129d166fdec9","year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:56bc47fe6325653edea33c57ad5b05b14a457b90c267b6b031150dce71dbd2fc","observation_id":"e25ca352-4e27-4072-b958-6aca44fe696b","resolution":{"observed_at":"2026-07-03T03:37:35.523551Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":"Fu, Stefano Ermon, Atri Rudra, and Christopher Ré","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:f813df3600769b89728337b7bc451cebf81b3defd3dc8221e6548b584ce3509a","observation_id":"ce143815-c6df-4f5b-8e9c-7743b7a6d950","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"InAdvances in Neural Information Processing Systems (NeurIPS)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:899c47bab7ec0a7b5e09a5e7b43c337e860e778b88b69754905d82ebdc32e2f7","observation_id":"8310b526-8097-424c-b6b2-3404a4750d55","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:4ffbd87effc229a320f18ec1b3e1d6496661d8894f1beab7d521ef531d00804b","observation_id":"a88a7e79-bd4d-4c47-aca8-1c68cd22eb73","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"Kim, Geraldo F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:7c2a429d2ffbb2cd646a1a7d4b760bcfe6ad4841edc1a6b94834d7f14f87f2cb","observation_id":"06874f53-29ba-4af4-9c19-c1edcc6e5f7c","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.13630","last_updated":"2021-06-21T21:01:12Z","snapshot_observed_at":"2026-08-19T12:45:19.661887Z","submitted_at":"2021-03-25T06:57:11Z","title":"A Survey of Quantization Methods for Efficient Neural Network Inference","version":3},"cited_work":{"arxiv_id":"2103.13630","doi":"10.48550/arxiv.2103.13630","metadata_source":"arxiv_reference","pith_arxiv_id":"2103.13630","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"W., and Keutzer, K","venue":"arXiv (Cornell University)","work_id":"9743aced-b121-4707-b83f-a7bbe09f738c","year":2021},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2103.13630","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:c384365435f711afb6f60c34f36460826423a9cc6660f2d598aa7ba2e629cd77","observation_id":"8d05e762-cfbb-4f92-a600-89c920cfaefb","resolution":{"observed_at":"2026-07-03T03:37:35.534010Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":"Philip Wong, and Shimeng Yu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:7287fc9afc5e44dd791c9edb4b905c4826c45754f5dbf832b1611376ac2e8399","observation_id":"a439d7e5-ab93-4df0-a2a6-c844588a7197","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:984b9eabd55fbaeda9a7149d34d25e8a07c1d378ad5ac37e5d72043fc0321f97","observation_id":"4c1c2c75-ba46-449e-bffa-5a3a2dbda0c3","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:070b385de8d11df2f310ddf497e7526cd278ecf008a9fc8097cd037f2e06db55","observation_id":"0417689e-3230-466f-98e6-cb2a7b1e877e","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00072","last_updated":"2021-11-08T12:43:08Z","snapshot_observed_at":"2026-08-13T21:11:11.537872Z","submitted_at":"2020-06-30T19:26:36Z","title":"Data Movement Is All You Need: A Case Study on Optimizing Transformers","version":3},"cited_work":{"arxiv_id":"2007.00072","doi":"10.48550/arxiv.2007.00072","metadata_source":"arxiv_reference","pith_arxiv_id":"2007.00072","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Data movement is all you need: A case study on optimizing transformers","venue":"arXiv (Cornell University)","work_id":"176bb165-acfe-476f-9826-459a591ecfce","year":2007},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2007.00072","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:72b01b46594be268372708444829b0350db9f202beaecb358fc8260c7df04b62","observation_id":"3ed28d3e-3d8c-476a-8cf6-37b7ec588452","resolution":{"observed_at":"2026-07-03T03:37:35.531393Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:26:09.164587+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:26:09.164587+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:b8939145e80a0656fb852155da54425826c227316d05a4796794f5e9309e4b8f","observation_id":"104d6d94-e8e6-4863-83e8-2f666826b03e","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"Mahoney, and Kurt Keutzer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:ea4c24087ec6d4388fb377aee4efb4b8e4d92426402df641af589119a32f7834","observation_id":"92ec13fe-4e30-4991-a19d-3ccf9855e1d4","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:01f09caa587ca3b3b25e735dbf92df5e48cc80e620754fce5906aec22fd97783","observation_id":"16bde6a4-e041-4814-addb-3e0a22cdfd5e","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"Mahoney, Yakun Sophia Shao, and Amir Gholami","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:ece490ed5a5cb8d9ba48cbf63695b8f678df7cbfca96761eb33ce7d5ef067e7e","observation_id":"7c481c5e-3378-4e96-a7c2-3732f2994da2","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:eda307e740aea27a4a02b359ed8cc7f72f45073648d8deebcc9b68b3e481b2bb","observation_id":"ecf7a066-1008-4f61-9a78-72781aeb2578","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04532","last_updated":"2025-05-01T02:14:05Z","snapshot_observed_at":"2026-08-19T14:44:32.329439Z","submitted_at":"2024-05-07T17:59:30Z","title":"QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving","version":3},"cited_work":{"arxiv_id":"2405.04532","doi":"10.48550/arxiv.2405.04532","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.04532","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qserve: W4A8KV4 quantization and system co-design for efficient LLM serving.CoRR, abs/2405.04532","venue":"arXiv (Cornell University)","work_id":"c210d46c-8391-4e16-ac58-5568cd278fc1","year":2024},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2405.04532","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:00e4232faa9b5c523489f5bd9cb1e844d2a54f3d0f59ac7b3adcc0861a934372","observation_id":"9ca58431-304f-4bc4-878a-13e23a149883","resolution":{"observed_at":"2026-07-03T03:37:35.526263Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:49:58.779354+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:49:58.779354+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:38b1400bb7df2e86f8921dbdd46b068fa1c7d1019c16e0073152e5dfc4412a2d","observation_id":"a704cda2-cb2c-4139-8cc3-c148b59d2093","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"InGreat Lakes Symposium on VLSI (GLSVLSI)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:5e1a11177c1a6fd688446b6d2dda895c58cc20f16f8e28cab1a0f4df667648eb","observation_id":"810824ab-c81d-4625-8352-98acfc147abb","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:38e4583dfa0b8b93adf6154c0d6452e2a6e7da3ecd835e3c5d0f94f1f95c7fa5","observation_id":"396c230f-7e13-41a5-b3ca-c642edeff08b","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"2022.Jetson Orin NX Series Datasheet","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:94e378d43d46ff695b5c60f596360bc71af67b97fd62f13e6aa592ea02fe9eba","observation_id":"f5965e86-b756-43cc-90b0-e06e2a94a92d","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:4ef42a3b90e5fb9417860b672166b441f9b107966e73c77a97ebebaea83da5df","observation_id":"62297b5b-ae66-40d4-b20d-2076316db799","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:302b3d051f49fe4b22ef95eb5363482a715d073634723bb966f0b4f325fa58a5","observation_id":"debd402c-1130-406b-9696-5083032efbe0","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2025.352764","doi":"10.1109/comst.2025.3527641","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mobile edge intelligence for large language models: A contemporary survey,","venue":"IEEE Communications Surveys & Tutorials","work_id":"d891caaa-55a7-4ee7-b1c8-b75b79e8634d","year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:f5aa47fb6086580ff5d265683b7f6029f95f5c7adfe62d713bf6e11ce629861d","observation_id":"a4f8e92b-6d14-4fb2-9e6a-accc869e91e3","resolution":{"observed_at":"2026-06-27T15:10:59.619494Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:f7c1161a22923a3ed05a79540989a33c007981ef9da73e935f166e9f38ee1c89","observation_id":"7f1b51df-2656-4d5a-bc92-14f790e8827f","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.14334","last_updated":"2023-07-26T17:52:22Z","snapshot_observed_at":"2026-08-16T15:13:02.877614Z","submitted_at":"2023-07-26T17:52:22Z","title":"Towards Generalist Biomedical AI","version":1},"cited_work":{"arxiv_id":"2307.14334","doi":"10.48550/arxiv.2307.14334","metadata_source":"pith","pith_arxiv_id":"2307.14334","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards generalist biomedical ai","venue":"cs.CL","work_id":"d3214ead-f1cf-41be-b7b0-bdeb901b5752","year":2023},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2307.14334","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:8ac5ede72cf93b3f59ce042fa533ed1c35aa622b8fc48426e2a3f122c303bbe8","observation_id":"b5fa26e9-d8bf-4ce4-8428-e3a9aa5df12b","resolution":{"observed_at":"2026-06-27T15:10:59.623637Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-07-11T17:19:11.364827+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T17:19:11.364827+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:bf43b52b2597bd10f21e4bf367fb6d608290f55fbc8b7c2cc05120bdcd702dd0","observation_id":"38c3afb9-5cab-4efd-b6c8-16f95f28c56c","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:0f85e7efb822dd35a07607de73139d67abff5b1dcd812443f5370310ea3d7c92","observation_id":"8460b1ba-42bc-48a0-9716-1e3c4d1dfed5","resolution":{"observed_at":"2026-07-03T03:37:35.528656Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:bcd5fa2c79ec9c1997e59428923faa72e0320f488bbdfb1ea6cf3a21abfc13d5","observation_id":"b30fd30f-df85-4b7a-88b5-ee6c7fef5f5a","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","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":"2026-06-27T15:08:25.880424Z","title":"InProceedings of the 58th IEEE/ACM International Symposium on Microarchitecture (MICRO)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:b4e97e21532e3c26c5ac7b74af93bccaa63237ad7f3530acdf597dad02ff9288","observation_id":"dcd86d19-f622-4872-9fd9-b1f4e66e275f","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":"2303.18223","doi":"10.18653/v1/d16-1080","metadata_source":"pith","pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey of Large Language Models","venue":"cs.CL","work_id":"de1b42b5-4a0a-4b1f-8c78-1f7fe21be6c9","year":2023},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:537c424b976e7375c0dabfe92ccf2b66c71110bce5819a4610a79e0752f23457","observation_id":"605c13e0-fd37-4465-814d-b5df69c13757","resolution":{"observed_at":"2026-07-03T03:37:35.536476Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T15:08:25.880424Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T15:08:25.880424Z"},"links":{"citing_paper":"/paper/2606.08891"},"observation_digest":"sha256:8e3a6630ed92f91c9e474384aaeaa78b0a5594a78ab1a3e256899e331cc8c515","observation_id":"f3517725-64cf-40af-a536-6a134fbd5140","resolution":{"observed_at":"2026-06-27T15:08:25.880424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.08891","last_updated":"2026-06-08T00:33:44Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-07T09:04:32.600620Z","submitted_at":"2026-06-08T00:33:44Z","title":"PALUTE: Processing-In-Memory Acceleration via Lookup Table for Edge LLM Inference"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":26,"verified_exact":7,"verified_fuzzy":0},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.08891."}