{"as_of":"2026-08-14T02:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9bbfb6e318feaf4a20b0c7b1a577ec59644e3b648429a10e0705e22c78962471","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T21:40:41.015481Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T07:34:15.530836Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18983","snapshot_observed_at":"2026-07-13T07:34:15.530836Z","title":"arXiv preprint arXiv:2508.18983 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.08780","last_updated":"2026-06-12T23:47:19Z","snapshot_observed_at":"2026-08-13T09:56:59.150580Z","submitted_at":"2026-06-12T23:47:19Z","title":"Sticky Routing: Training MoE Models for Memory-Efficient Inference","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-13T07:34:15.530836Z"},"links":{"cited_paper":"/paper/2508.18983","citing_paper":"/paper/2607.08780"},"observation_digest":"sha256:f270dfdc4e0878ef373d10de2072513b8c62572705c281c418db74f2a69c4a24","observation_id":"bb5b9855-f544-4ba5-a0a4-7105703d5ccb","resolution":{"observed_at":"2026-07-13T07:34:15.530836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.18983/citation-record","integrity":"/paper/2508.18983/integrity","json":"/paper/2508.18983/citation-record.json","paper":"/paper/2508.18983"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The documention of Python 3.13: what’s New In Python 3.13? https://docs.python.org/3/whatsnew/3.13.html","venue":null,"work_id":"88d8dc5e-5500-427a-810d-04fa196db7fb","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:38a6ac383b9d47bff61185177b08e28059805498403e682ee46fe2128648604d","observation_id":"cc1f75b8-d35f-4530-825d-bf168dd4e56e","resolution":{"observed_at":"2026-05-18T21:41:52.031068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"KTransformers: A Flexible Framework for Experiencing Cutting- edge LLM Inference Optimizations","venue":null,"work_id":"6423d526-d0a5-454b-b726-c960c99dbdb4","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:fa909bf07966801ee9865f9385d8ce17bdae4558e4dde26c5cd5176f40be2225","observation_id":"14d108c4-37e4-42a7-a444-fbd0ae6acb34","resolution":{"observed_at":"2026-05-18T21:41:52.023437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"Llama.cpp: a C++ implementation enabling efficient LLM infer- ence on CPUs","venue":null,"work_id":"3a7bfaeb-34c9-4c32-ac13-0255a116399d","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:151f28ad5d39b001bb3bde48c775ea629e1bfe4bd88da5d081dde9c43da1a0de","observation_id":"beaeddbf-43be-4852-ae14-e149eaa3a7da","resolution":{"observed_at":"2026-05-18T21:41:52.033933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets","venue":null,"work_id":"aae3a770-2971-4b78-a4e1-534233c03b4b","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:516022f4caeab4c6229edca04f2d7d75ee25bef58d353a17a16c201701804700","observation_id":"5d7e2e31-4d61-402a-b010-2a1915cdb488","resolution":{"observed_at":"2026-05-18T21:41:52.009669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"This url describes some of the common LLM inference metrics","venue":null,"work_id":"eda15ea6-efb9-487b-9276-20ed76343411","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:bd3006e9f807cc03f1e0a94280411a2bf1c694b3d3fd755f9936775801975698","observation_id":"7079222c-7ec0-4df8-abff-d6030bbbd317","resolution":{"observed_at":"2026-05-18T21:41:52.003590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"This url introduces the LLM deepseek-moe-16b-chat","venue":null,"work_id":"504c5a26-8e61-46ed-bbe6-e539985d415d","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:54e5a5adff5fba1458b8b3de03600e6057e227f9be587b079e339449c1ef77db","observation_id":"7dc19b36-eb57-470d-a646-b2d577f89dfa","resolution":{"observed_at":"2026-05-18T21:41:52.015494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"This url introduces the LLM Qwen2-57B-A14B-Instruct","venue":null,"work_id":"4f1af43f-5f9e-47b2-9f55-6db4738769e1","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:b0728ebbce8274acbe0a73a93d3aa565f156722cbcc3e9cbfecfde75f73f5ea9","observation_id":"67c5f375-93bc-4f7c-a0f0-395cf35ca9c5","resolution":{"observed_at":"2026-05-18T21:41:52.018068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":"This url introduces the LLM /XVERSE-MoE-A4.2B-Chat","venue":null,"work_id":"494da5b5-5783-46da-b6ce-8114e0425991","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:9666d7d501800efd5466c8a7445e62ddb34fb089b3a1651d0a262a584a694595","observation_id":"6c5fd11f-d9a4-457d-8224-74680f7e2a76","resolution":{"observed_at":"2026-05-18T21:41:52.006404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1050c17f-9ab9-48e9-bb49-d778a8160032","year":2022},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:d074828340eef32c20cde23f71a2027f0741effd9e3359303f3a72ebb7927473","observation_id":"74e11992-618b-4ec7-8663-2ae51c0020a0","resolution":{"observed_at":"2026-05-18T21:41:52.020742Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3bb1e2cb-75b6-4bd4-8723-13b06ba08f3a","year":2020},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:537e8aa2b29e4398005a4fffae4650ccd9598264670409946393213ce8752767","observation_id":"443cbb15-ff04-4b47-9e47-6451072010fb","resolution":{"observed_at":"2026-05-18T21:41:52.028127Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10044","last_updated":"2019-05-24T05:48:49Z","snapshot_observed_at":"2026-07-06T07:55:12.121264Z","submitted_at":"2019-05-24T05:48:49Z","title":"BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions","version":1},"cited_work":{"arxiv_id":"1905.10044","doi":"10.48550/arxiv.1905.10044","metadata_source":"pith","pith_arxiv_id":"1905.10044","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions","venue":"cs.CL","work_id":"511eeb84-4b95-46d5-b14f-50da43f4f19f","year":2019},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"cited_paper":"/paper/1905.10044","citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:074bb6e73696fd66565044a3cbd8f99115f79fb5a81b1b1d7e19ee07af6f582e","observation_id":"0edbeaa8-f000-4f3f-9337-d6e564831639","resolution":{"observed_at":"2026-05-18T21:41:51.629544Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":"1803.05457","doi":"10.1162/tacl_a_00448.https://aclanthology.org/2022.tacl-1.5","metadata_source":"pith","pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","venue":"cs.AI","work_id":"28ea1282-d657-4c61-a83c-f1249be6d6b1","year":2018},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:6ea5d6298972195a0f06705435dc4710831c8d4868c12e0d24083186cd1d4159","observation_id":"5fdc2581-4c9b-450c-ac97-9b00240e93f6","resolution":{"observed_at":"2026-05-18T21:41:51.623985Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06066","last_updated":"2024-01-11T17:31:42Z","snapshot_observed_at":"2026-08-13T15:18:04.411100Z","submitted_at":"2024-01-11T17:31:42Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","version":1},"cited_work":{"arxiv_id":"2401.06066","doi":"10.48550/arxiv.2401.06066","metadata_source":"pith","pith_arxiv_id":"2401.06066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","venue":"cs.CL","work_id":"a9888d6d-bf47-4324-9834-7cc12ac3a78c","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"cited_paper":"/paper/2401.06066","citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:bbc0299d26073f4d4e5c0d0fb3a7fb528bad9abc6c53a1aef92986b134e00ab9","observation_id":"9ffb80d5-e685-4559-a048-9c2bc6e2331a","resolution":{"observed_at":"2026-05-18T21:41:51.614887Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4b2fc802-25dc-40cc-82f1-558ecce8da14","year":null},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:19842076da68e7522c84ce7a04e0ff1db9774e2f4c1a2437184f3a1e01d18d69","observation_id":"90759655-0eb6-435e-9378-cb97e8b047bc","resolution":{"observed_at":"2026-05-18T21:41:52.012496Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d17-1082","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.18653/v1/D17-1082","venue":null,"work_id":"4e65f57b-0562-4172-b6d3-b4ea2e5e62fb","year":2017},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:5011506ebb07ec88c9edfd28a670bc5c5194d5b818a0d4e3feae8f49c6b7177c","observation_id":"c96f84e0-2368-4bdb-9679-be922e7f664a","resolution":{"observed_at":"2026-05-18T21:41:51.362042Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-07-13T23:49:40.495585+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T23:49:40.495585+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.09121","last_updated":"2019-04-27T09:31:59Z","snapshot_observed_at":"2026-07-06T06:57:46.546190Z","submitted_at":"2018-08-28T05:16:35Z","title":"WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations","version":3},"cited_work":{"arxiv_id":"1808.09121","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.09121","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations","venue":"cs.CL","work_id":"3b102550-a9b3-410b-81fb-eb673ce7630d","year":2018},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"cited_paper":"/paper/1808.09121","citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:c3835b84778ba99b8bbf76b9518cd743a1b82cfebb014eced907befc95501e72","observation_id":"4d7896b1-9fcf-402c-a244-dc4dae9f5c96","resolution":{"observed_at":"2026-05-18T21:41:51.634734Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"49ff36e3-48e6-494e-bb29-f941ad3ce46c","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:f0e0c8e4bba1f3ae5dcd4a0a1835ecfa241419428bb2641ab05daecae6b91c39","observation_id":"edc8be4f-43a0-4d34-af43-b2e4dec61882","resolution":{"observed_at":"2026-05-18T21:41:52.000743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"89bb78c0-26eb-42e6-98a6-c06d06eb551e","year":2024},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:6ad90c442b4ed621e8956d783fe3d694746c2ca8585e0a4702b617d26d16714e","observation_id":"99afde3d-5db5-4f76-b45d-6cee3896a846","resolution":{"observed_at":"2026-05-18T21:41:52.025725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.05897","last_updated":"2025-04-08T10:47:37Z","snapshot_observed_at":"2026-08-10T13:34:41.820599Z","submitted_at":"2025-04-08T10:47:37Z","title":"HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference","version":1},"cited_work":{"arxiv_id":"2504.05897","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.05897","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5d1a72fd-0842-4461-aadb-ba1f7ca0a56d","year":2025},"citing_paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T21:40:41.015481Z"},"links":{"cited_paper":"/paper/2504.05897","citing_paper":"/paper/2508.18983"},"observation_digest":"sha256:bdbb26af2c763eb8b4752133445a61fe5a7f2fbc126f7f2e03e98e4d928d1498","observation_id":"7645abce-31e9-4e1a-9df2-6203e66c31fb","resolution":{"observed_at":"2026-05-18T21:41:51.619092Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.18983","last_updated":"2026-05-03T06:02:21Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-11T12:46:38.810065Z","submitted_at":"2025-08-26T12:32:09Z","title":"SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":5,"verified_exact":5,"verified_fuzzy":8},"total_outbound_references":19},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2508.18983."}