{"as_of":"2026-08-21T19:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e3ca80175e5cdf28518b41287b09f18f9b337609cdd772661434d541bc56dbe","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:58:34.919046Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T12:39:25.535897Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T12:43:25.580785Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"cited_work":{"arxiv_id":"2506.18349","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18349","snapshot_observed_at":"2026-06-29T12:43:25.580785Z","title":"Slimmoe: Structured compression of large moe models via expert slimming and distillation","venue":null,"work_id":"5ff7d21b-440e-4136-812c-a290cac2101b","year":2025},"citing_paper":{"arxiv_id":"2604.19835","last_updated":"2026-05-10T18:33:52Z","snapshot_observed_at":"2026-08-15T19:42:17.129212Z","submitted_at":"2026-04-21T05:53:33Z","title":"Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T03:29:16.555166Z"},"links":{"cited_paper":"/paper/2506.18349","citing_paper":"/paper/2604.19835"},"observation_digest":"sha256:554f0bc90808482e1f5fa5bec3607598ef32421e13291aaccce32a9e0679bd95","observation_id":"4d4a5acc-75a2-4225-bddb-637d91878c92","resolution":{"observed_at":"2026-05-10T03:29:21.477510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"cited_work":{"arxiv_id":"2506.18349","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18349","snapshot_observed_at":"2026-06-29T12:43:25.580785Z","title":"Slimmoe: Structured compression of large moe models via expert slimming and distillation","venue":null,"work_id":"5ff7d21b-440e-4136-812c-a290cac2101b","year":2025},"citing_paper":{"arxiv_id":"2604.19835","last_updated":"2026-05-10T18:33:52Z","snapshot_observed_at":"2026-08-15T19:42:17.129212Z","submitted_at":"2026-04-21T05:53:33Z","title":"Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T02:03:02.654035Z"},"links":{"cited_paper":"/paper/2506.18349","citing_paper":"/paper/2604.19835"},"observation_digest":"sha256:89e7fc09f9cdfc07ad8b5dd526bb4888bab29088fec38e7ed68609a7eada8977","observation_id":"f3091ad0-4e77-452b-8eb4-44f7fd349f6f","resolution":{"observed_at":"2026-05-12T02:06:15.342964Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"cited_work":{"arxiv_id":"2506.18349","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18349","snapshot_observed_at":"2026-06-29T12:43:25.580785Z","title":"Slimmoe: Structured compression of large moe models via expert slimming and distillation","venue":null,"work_id":"5ff7d21b-440e-4136-812c-a290cac2101b","year":2025},"citing_paper":{"arxiv_id":"2605.08738","last_updated":"2026-05-18T06:29:11Z","snapshot_observed_at":"2026-08-17T11:43:18.177895Z","submitted_at":"2026-05-09T06:50:35Z","title":"SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-12T03:34:10.370956Z"},"links":{"cited_paper":"/paper/2506.18349","citing_paper":"/paper/2605.08738"},"observation_digest":"sha256:04da6c1fa08cffb79da36d36971122795e9001fe4c1916dde3e2f5863bc3542d","observation_id":"9eb82aee-218f-43e1-ac45-286752f3db72","resolution":{"observed_at":"2026-05-12T07:16:28.297698Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"cited_work":{"arxiv_id":"2506.18349","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18349","snapshot_observed_at":"2026-06-29T12:43:25.580785Z","title":"Slimmoe: Structured compression of large moe models via expert slimming and distillation","venue":null,"work_id":"5ff7d21b-440e-4136-812c-a290cac2101b","year":2025},"citing_paper":{"arxiv_id":"2605.08738","last_updated":"2026-05-18T06:29:11Z","snapshot_observed_at":"2026-08-17T11:43:18.177895Z","submitted_at":"2026-05-09T06:50:35Z","title":"SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-20T23:22:51.808346Z"},"links":{"cited_paper":"/paper/2506.18349","citing_paper":"/paper/2605.08738"},"observation_digest":"sha256:634489bc0be53998131276846e2808007d0968308274bfa55ee36640065936d1","observation_id":"140c4f58-c62c-4443-b1e7-bc6a9b4b382f","resolution":{"observed_at":"2026-05-20T23:23:51.279419Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"cited_work":{"arxiv_id":"2506.18349","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18349","snapshot_observed_at":"2026-06-29T12:43:25.580785Z","title":"Slimmoe: Structured compression of large moe models via expert slimming and distillation","venue":null,"work_id":"5ff7d21b-440e-4136-812c-a290cac2101b","year":2025},"citing_paper":{"arxiv_id":"2605.28207","last_updated":"2026-06-06T13:23:43Z","snapshot_observed_at":"2026-08-17T09:43:49.019675Z","submitted_at":"2026-05-27T09:27:36Z","title":"Pruning and Distilling Mixture-of-Experts into Dense Language Models","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-29T12:39:25.535897Z"},"links":{"cited_paper":"/paper/2506.18349","citing_paper":"/paper/2605.28207"},"observation_digest":"sha256:97a4700b9c59dccacf173713b28330c752fda73dc1e74467969498423738419b","observation_id":"68144bee-6c3d-43a6-8339-6be28052966a","resolution":{"observed_at":"2026-06-29T12:43:25.582189Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.18349/citation-record","integrity":"/paper/2506.18349/integrity","json":"/paper/2506.18349/citation-record.json","paper":"/paper/2506.18349"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:33.427407Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.427407Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:d4ea8c0342dc06f23e62b1b535a5d15c1491c1da35346d5b5954079ae4797809","observation_id":"b89852ba-3be1-4862-acda-44498a0f4839","resolution":{"observed_at":"2026-08-15T18:58:33.427407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:33.477334Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.477334Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:6bcffde0004d3a467b81e3b235070dfa35e25217aba5b6ccd459265b6c82957f","observation_id":"3e57a6da-6b3c-4062-8efd-9775ea601f03","resolution":{"observed_at":"2026-08-15T18:58:33.477334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-17T03:25:04.404839Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-15T18:58:33.482836Z","title":", Aneja, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.482836Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:c6e9311cab415ea41f7d115604ca5c48bab22e4005c58f19038300d990bcde52","observation_id":"b1e0871b-2373-40e8-8535-c6c072a92065","resolution":{"observed_at":"2026-08-15T18:58:33.482836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:33.489966Z","title":", Lee - Thorp, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.489966Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:9e10320a1cfac43729601eb6a15d5a0ee0993a3c7496e7a55a65ef3e036eae6e","observation_id":"e1b0e3ae-a015-471c-b21e-60c9c2b120e5","resolution":{"observed_at":"2026-08-15T18:58:33.489966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.869121Z","title":", Croci, M","venue":null,"work_id":"6e2eaae1-4c9b-44b9-8de5-b518f1db2d8b","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.496172Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:2cd21700b2757244071d02b929d0e3007f6f5b60fbb51713b48a028007e5a454","observation_id":"0b501abb-64aa-4515-b65f-e91d6b7452ec","resolution":{"observed_at":"2026-08-15T18:58:36.873442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07732","last_updated":"2021-08-16T03:57:30Z","snapshot_observed_at":"2026-08-15T17:40:38.050939Z","submitted_at":"2021-08-16T03:57:30Z","title":"Program Synthesis with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07732","snapshot_observed_at":"2026-08-15T18:58:33.501590Z","title":", Odena, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.501590Z"},"links":{"cited_paper":"/paper/2108.07732","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:570b19f167539bab16b324af9e56b7f6d2b05a49bfca05047d4ad000ac9d7750","observation_id":"fe864c66-f547-4fde-badc-480229d06467","resolution":{"observed_at":"2026-08-15T18:58:33.501590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.855875Z","title":", Zellers, R","venue":null,"work_id":"922c3a71-1c8c-4a86-a7cd-8fa9b1d614f0","year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.506971Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:6d867fab5faf9214f71e9e07da7cd215ad7b940cad9a7766661f1f7ebacd9196","observation_id":"6a10b25f-df82-4650-91f6-8b18be6c0b93","resolution":{"observed_at":"2026-08-15T18:58:36.859862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-20T20:50:23.483838Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-15T18:58:33.511977Z","title":", Tworek, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.511977Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:159726e0054645e7bd82c42b0bb4a0dceed8aba0a27740da06831d39e39e254e","observation_id":"1532c006-d7d2-4e91-b57e-f5388b4b5982","resolution":{"observed_at":"2026-08-15T18:58:33.511977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.00277","last_updated":"2022-06-02T03:44:04Z","snapshot_observed_at":"2026-08-16T16:56:06.467083Z","submitted_at":"2022-06-01T07:09:01Z","title":"Task-Specific Expert Pruning for Sparse Mixture-of-Experts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.00277","snapshot_observed_at":"2026-08-15T18:58:33.518887Z","title":", Huang, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.518887Z"},"links":{"cited_paper":"/paper/2206.00277","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:fed9ec4c1ad42a8daaf7c4d90fb7c00302a7b9b755adfb90f647ad76eef1d499","observation_id":"4c7d8fe5-b50f-4457-9dc4-f448cdd06d31","resolution":{"observed_at":"2026-08-15T18:58:33.518887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.842120Z","title":null,"venue":null,"work_id":"e5111787-6fbb-46e8-8ade-19d61433eeb6","year":2019},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.611556Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:008f129a53b3cbc6bdd70927aa84b739a4362120b3539d9493037e0fdb6b4498","observation_id":"1a2c3413-93be-41e8-8d41-7898641790f2","resolution":{"observed_at":"2026-08-15T18:58:36.846021Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16646","last_updated":"2024-05-30T17:30:42Z","snapshot_observed_at":"2026-08-20T10:44:03.391300Z","submitted_at":"2024-05-26T17:52:58Z","title":"A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16646","snapshot_observed_at":"2026-08-15T18:58:33.689143Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.689143Z"},"links":{"cited_paper":"/paper/2405.16646","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:32feac1d281346e8cd3e7f6f466a3db52965c17051f0caf1208ae778f7b379d0","observation_id":"95b9765b-2cbc-470f-9d58-511eb55402c1","resolution":{"observed_at":"2026-08-15T18:58:33.689143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.827194Z","title":", Lee, K","venue":null,"work_id":"60fe3116-89cb-44af-a241-8cc73d86004e","year":2019},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.763292Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:cd394b50e40eaea864829a8f8d0a5eb99250db956df4e5a85e58451a7860b2be","observation_id":"4172528e-8f38-4ab4-834d-c63f49bcf0ba","resolution":{"observed_at":"2026-08-15T18:58:36.831821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-08-14T19:36:07.505691Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-08-15T18:58:33.768381Z","title":", Cowhey, I","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.768381Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:56bd20785eed1c86e0ef1ce0f7245bd5cb956ce36d5ca503e475d0fc6bc9c309","observation_id":"c1803211-a8c6-4b96-8c6d-6f0e9fcb8c8c","resolution":{"observed_at":"2026-08-15T18:58:33.768381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-14T02:43:01.480086Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-15T18:58:33.773381Z","title":", Kosaraju, V","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.773381Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:8b6cfb27f690d6f6ab79c6344efd2f74a7a21d1d1ec7f27af1d25d2378f7c632","observation_id":"d9760a28-dd03-49c1-941f-8a91792ad6d1","resolution":{"observed_at":"2026-08-15T18:58:33.773381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04434","last_updated":"2024-06-19T06:04:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-07T15:56:43Z","title":"DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04434","snapshot_observed_at":"2026-08-15T18:58:33.778320Z","title":", Feng, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.778320Z"},"links":{"cited_paper":"/paper/2405.04434","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:e04bc73413266401843a3500eac401a0d7ddd28a9d52e3a333582c3331eb26f2","observation_id":"fbe3a1c3-e250-457c-b298-fd63374a80be","resolution":{"observed_at":"2026-08-15T18:58:33.778320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-18T18:18:37.449517Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-15T18:58:33.783162Z","title":", Feng, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.783162Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:b77cc6972395447cc6baa4515a7f66f971c47530db9cb98c5586b03b69597c89","observation_id":"28a9b43b-39eb-4c62-89ac-22628464c5ba","resolution":{"observed_at":"2026-08-15T18:58:33.783162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02861","last_updated":"2022-06-20T16:05:15Z","snapshot_observed_at":"2026-08-18T09:55:26.479153Z","submitted_at":"2021-10-06T15:43:20Z","title":"8-bit Optimizers via Block-wise Quantization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.02861","snapshot_observed_at":"2026-08-15T18:58:33.787850Z","title":", Lewis, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.787850Z"},"links":{"cited_paper":"/paper/2110.02861","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:af1b66cfa35b18ad1be6050ec2004ecc5c387a8c42cc98c3be469c4215885a03","observation_id":"6762342b-de94-4203-8733-6fd2d808e4e6","resolution":{"observed_at":"2026-08-15T18:58:33.787850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-15T18:58:33.792821Z","title":", Jauhri, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.792821Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:cd36969839fd921ba9719c6018b195a28cc2ac0122d2d9a1998ce9f6b1b97dd4","observation_id":"421cbf62-07bf-4ae5-85b9-1679b9672b13","resolution":{"observed_at":"2026-08-15T18:58:33.792821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.813341Z","title":", Yin, H","venue":null,"work_id":"ec055112-6f39-48fa-8d91-a14d19ac0b41","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.798426Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:dd5799de18774cb01d782805de57e590e4eb5022b1cf8d0ef220e4efe0a19a50","observation_id":"93670f9a-ca97-4b4a-8c4c-206a2ca664e7","resolution":{"observed_at":"2026-08-15T18:58:36.817465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.748305Z","title":", Zoph, B","venue":null,"work_id":"f04274b9-65b9-4cb7-85ac-1fd09a90704e","year":2022},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.804183Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:d539d70917cd7803f5fe8250a7a6204332d238887a887a167d1ce8a6f2e1f5c3","observation_id":"a523aa98-fd84-4e80-ba83-96a4b73c3727","resolution":{"observed_at":"2026-08-15T18:58:36.802982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:33.808935Z","title":", Tow, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.808935Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:9f6b05291853ac4362d372a370fa4cd530836ffe88a338ea8c38c36c03832daa","observation_id":"3f16ecd4-8f50-4905-8169-2b6dbf433ff1","resolution":{"observed_at":"2026-08-15T18:58:33.808935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.689367Z","title":null,"venue":null,"work_id":"70b2579e-ab0d-4811-827d-bfa1e4e5a714","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.830628Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:41fc4c114de414401360a5ba2d2b765c2fcdbc89dfa5722e5c1af567b085c608","observation_id":"9979ba70-a6ab-4b4c-b262-03a08a25eb3e","resolution":{"observed_at":"2026-08-15T18:58:36.698514Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1510.00149","last_updated":"2016-02-15T06:25:40Z","snapshot_observed_at":"2026-08-04T16:59:47.843960Z","submitted_at":"2015-10-01T09:03:44Z","title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.00149","snapshot_observed_at":"2026-08-15T18:58:33.872856Z","title":", Mao, H","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.872856Z"},"links":{"cited_paper":"/paper/1510.00149","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:6bb193ce78ef753290979e4076b5ebe8e02f5ada89b9fb539518ba0642df43a1","observation_id":"5852a804-3ea1-4c28-b719-26f3ac57ffa2","resolution":{"observed_at":"2026-08-15T18:58:33.872856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02626","last_updated":"2015-10-30T23:29:27Z","snapshot_observed_at":"2026-08-15T13:34:24.234242Z","submitted_at":"2015-06-08T19:28:43Z","title":"Learning both Weights and Connections for Efficient Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02626","snapshot_observed_at":"2026-08-15T18:58:33.976715Z","title":", Pool, J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:33.976715Z"},"links":{"cited_paper":"/paper/1506.02626","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:685bc15ba46512e88bf57b5a124cc01fa449b76a04ba88d5112dfe6372b8ef6c","observation_id":"bc2e69d3-0f35-4e8a-87a9-d9626c716b4d","resolution":{"observed_at":"2026-08-15T18:58:33.976715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02500","last_updated":"2025-03-17T14:18:42Z","snapshot_observed_at":"2026-08-20T01:56:28.305984Z","submitted_at":"2024-06-04T17:18:40Z","title":"Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02500","snapshot_observed_at":"2026-08-15T18:58:34.018186Z","title":", Dong, D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.018186Z"},"links":{"cited_paper":"/paper/2406.02500","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:583debb70c137e1f7b9b4035289441df059db08c90ed9e984bb5eb0b55ef67b0","observation_id":"154035d2-efe3-4142-8fb2-e461c098d3f0","resolution":{"observed_at":"2026-08-15T18:58:34.018186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.673138Z","title":", Burns, C","venue":null,"work_id":"3bdabd59-2912-499e-8826-3ae18aded65c","year":2021},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.024205Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:61b61f59e6e5cc55baa686326f227f9956d020a5a9b975b3b00d72697683138f","observation_id":"84129d9e-ff36-4b1d-b8f4-7f00e48ee6b5","resolution":{"observed_at":"2026-08-15T18:58:36.678340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-15T18:58:34.028985Z","title":", Vinyals, O","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.028985Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:99c8e54a95442dfb50513ef049fed7e1a752aa3682c026ae7ded4efcd33084d5","observation_id":"4c07f7ee-e864-49ff-9664-4e340feb83b2","resolution":{"observed_at":"2026-08-15T18:58:34.028985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-13T19:43:49.936776Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-15T18:58:34.034040Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.034040Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:412bf073acbbe597aca5f1395fedd11b2cde8c6c279e79bd44fc1581c42ad058","observation_id":"de4a92e3-e024-491d-b8b8-db0ec42ba968","resolution":{"observed_at":"2026-08-15T18:58:34.034040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.659232Z","title":", Jin, Y","venue":null,"work_id":"51ab5e48-4394-4701-9199-e09c604ac70e","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.038626Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:fbb6374415e03c7b6e1cf8450928784f89fe824931884dc3d94fef22d26d1846","observation_id":"888d7c7e-11a8-4e5b-a153-db41ea789a23","resolution":{"observed_at":"2026-08-15T18:58:36.663376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02410","last_updated":"2023-10-03T20:11:23Z","snapshot_observed_at":"2026-08-16T14:55:20.777763Z","submitted_at":"2023-10-03T20:11:23Z","title":"Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02410","snapshot_observed_at":"2026-08-15T18:58:34.043003Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.043003Z"},"links":{"cited_paper":"/paper/2310.02410","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:227f3f5533abab9a2eda45a530f64e967cdef8cf1b8c4779eac77ed473697c26","observation_id":"2c384ebe-e62e-47e4-995a-ce45f1d760c8","resolution":{"observed_at":"2026-08-15T18:58:34.043003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.16668","last_updated":"2020-06-30T10:42:02Z","snapshot_observed_at":"2026-08-07T09:27:36.420559Z","submitted_at":"2020-06-30T10:42:02Z","title":"GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.16668","snapshot_observed_at":"2026-08-15T18:58:34.048612Z","title":", Lee, H","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.048612Z"},"links":{"cited_paper":"/paper/2006.16668","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:14753c99b605216ceb56845d2e85b3e2f698e59d3810aa1024b5915dc38c4739","observation_id":"c35e486e-f2aa-4ff8-a8ac-bfa8881871f4","resolution":{"observed_at":"2026-08-15T18:58:34.048612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.645919Z","title":", Zhang, Z","venue":null,"work_id":"5f4323cc-2549-4035-9f78-ad1328e70086","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.054078Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:fc980c3d51bbf8b93786c8255806e254f7ee92c48c343f1458ddbee6561e5d1a","observation_id":"dea8964d-ef2d-4ccd-b750-852b8dec955b","resolution":{"observed_at":"2026-08-15T18:58:36.650092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.631223Z","title":", Jiang, H","venue":null,"work_id":"99503329-6a35-48b4-bd4c-1226c33d4026","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.059244Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:78bcf10c1affc3e3995e54b6d18280cbe6e0d653a5e8738205ccb72de55ebb97","observation_id":"3f8c0ae7-ccb3-4a5a-82b8-f243f5d3d92e","resolution":{"observed_at":"2026-08-15T18:58:36.636449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00945","last_updated":"2024-07-01T03:57:35Z","snapshot_observed_at":"2026-08-16T13:38:16.914876Z","submitted_at":"2024-07-01T03:57:35Z","title":"Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00945","snapshot_observed_at":"2026-08-15T18:58:34.065383Z","title":", Zhu, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.065383Z"},"links":{"cited_paper":"/paper/2407.00945","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:66554d4495f192769e5b0afc153eb20cd22aae99f7c15d498e0de77944c51960","observation_id":"ebbf1c1e-78c8-4eac-af8b-d47e245de0dc","resolution":{"observed_at":"2026-08-15T18:58:34.065383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.509542Z","title":", Xia, C","venue":null,"work_id":"d9dc674f-c231-4ef2-9363-e60492996a1b","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.097577Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:e7303511066703c12bfe0acc03ab846fadc4e5d9e83339764dd7a0aa82757da1","observation_id":"ca7130cf-1f7e-4f60-bd09-107959d1d48d","resolution":{"observed_at":"2026-08-15T18:58:36.553088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.450670Z","title":", Dong, C","venue":null,"work_id":"a386ca03-a8c8-44c6-b8e9-9dd54febab73","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.171142Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:4b59d96b302c55497667f7e6638e4a42a386b684b0e2e60626634f17ee0239b9","observation_id":"fe6697d8-3663-4ea8-8c6e-0b3e745e5e80","resolution":{"observed_at":"2026-08-15T18:58:36.457019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00811","last_updated":"2023-10-01T22:43:57Z","snapshot_observed_at":"2026-08-18T15:11:59.041944Z","submitted_at":"2023-10-01T22:43:57Z","title":"Sparse Backpropagation for MoE Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00811","snapshot_observed_at":"2026-08-15T18:58:34.295359Z","title":", Gao, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.295359Z"},"links":{"cited_paper":"/paper/2310.00811","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:a215d05a741df6d3c1bb7650d4f1ba33536056624a49d8f1d0cc9e6a43920e56","observation_id":"9eeec88d-8d4b-4a38-bb79-0f2f9d092be3","resolution":{"observed_at":"2026-08-15T18:58:34.295359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-16T13:17:26.007113Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-08-15T18:58:34.357013Z","title":", Kim, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.357013Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:db4a0e26df9f59b32157830b26eb8d97efbf46fcea0da15c194433de53fe14c8","observation_id":"d02c79de-8585-47e7-aa51-3be5cbeb0b75","resolution":{"observed_at":"2026-08-15T18:58:34.357013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-15T18:58:34.361902Z","title":"and Hutter, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.361902Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:4af0aa008f6588c9e9f062d1c04408d7cb375f4339d63734e579879ef76cba3e","observation_id":"1d36769c-17e2-4246-b87e-b781c087a3d5","resolution":{"observed_at":"2026-08-15T18:58:34.361902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01312","last_updated":"2018-06-22T14:54:59Z","snapshot_observed_at":"2026-08-14T20:07:02.711956Z","submitted_at":"2017-12-04T19:20:27Z","title":"Learning Sparse Neural Networks through $L_0$ Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.01312","snapshot_observed_at":"2026-08-15T18:58:34.367134Z","title":", Welling, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.367134Z"},"links":{"cited_paper":"/paper/1712.01312","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:0be6da09c9b11e7354502b88fc2baa09a8a587f9f447d3a3c4177287b72d1355","observation_id":"ac5180ab-3035-452e-a39c-29c510305c32","resolution":{"observed_at":"2026-08-15T18:58:34.367134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.435986Z","title":", Liu, Q","venue":null,"work_id":"175b860e-bbd9-4cac-ba1c-a8d3f8cc7b27","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.372360Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:9b285c133d1cb3f9328861b3be45cf1b1e9fc1588b603960dc4a05bf565f097c","observation_id":"95f95430-9c05-4556-9aa5-e3896151148a","resolution":{"observed_at":"2026-08-15T18:58:36.440945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.421907Z","title":", Fang, G","venue":null,"work_id":"3a022d0e-b0c3-4baa-9c57-da5367bde4ba","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.377837Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:2e11250669bb267332fa668572a59178782f5fb5114b6094cbfc87ce422f9bfc","observation_id":"d249039f-bc41-4a19-9860-c85f1f2b981c","resolution":{"observed_at":"2026-08-15T18:58:36.426291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03853","last_updated":"2024-10-11T09:43:32Z","snapshot_observed_at":"2026-08-16T14:12:14.696997Z","submitted_at":"2024-03-06T17:04:18Z","title":"ShortGPT: Layers in Large Language Models are More Redundant Than You Expect","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03853","snapshot_observed_at":"2026-08-15T18:58:34.382563Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.382563Z"},"links":{"cited_paper":"/paper/2403.03853","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:86fbedcd4eba94a115a8671b6a0026415dc90bccf3689dff023c0c519a9b5c37","observation_id":"e28a6885-0397-4911-80a6-935d0700b522","resolution":{"observed_at":"2026-08-15T18:58:34.382563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.408293Z","title":", Clark, P","venue":null,"work_id":"9c2e69a2-fba9-4f20-8573-53109b200df2","year":2018},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.387575Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:22148a4b13b73cc73492953688f3be1d43db17ff49f545b00a54050e6b300983","observation_id":"08164130-fa4f-4885-84d4-78fa2550ab10","resolution":{"observed_at":"2026-08-15T18:58:36.412844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.393681Z","title":", Farajtabar, M","venue":null,"work_id":"dd42c37e-69f3-426b-85c8-75d8df58f48f","year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.392446Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:2012048e4a8006fd91fc5eca82d50479fc06e9455c91f4d10f758c5286dc2b14","observation_id":"2e035d69-7811-42c0-b8e5-0448ef672f1f","resolution":{"observed_at":"2026-08-15T18:58:36.398227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.262671Z","title":", Mallya, A","venue":null,"work_id":"c4b653d8-145d-4a0a-b481-722a4578a797","year":2019},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.397171Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:6e33ef1ce058ed6bbc532da0053e9aea8e0fbb27bbf7d1d05a0aad420990bd7d","observation_id":"3b5d7380-cb02-431c-9c54-22b51507e13c","resolution":{"observed_at":"2026-08-15T18:58:36.322530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.06440","last_updated":"2017-06-08T19:53:26Z","snapshot_observed_at":"2026-08-14T21:29:36.502364Z","submitted_at":"2016-11-19T22:48:30Z","title":"Pruning Convolutional Neural Networks for Resource Efficient Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.06440","snapshot_observed_at":"2026-08-15T18:58:34.402405Z","title":", Tyree, S","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.402405Z"},"links":{"cited_paper":"/paper/1611.06440","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:d283dd36218f56a7d33da23d9f83d1c2cbe397d526ee1ae4e37c8e7274053225","observation_id":"f3b8f7c8-4f76-4926-be8e-6231cb8561fa","resolution":{"observed_at":"2026-08-15T18:58:34.402405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02060","last_updated":"2025-03-03T01:25:46Z","snapshot_observed_at":"2026-08-15T00:07:51.079800Z","submitted_at":"2024-09-03T17:08:20Z","title":"OLMoE: Open Mixture-of-Experts Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02060","snapshot_observed_at":"2026-08-15T18:58:34.407250Z","title":", Soldaini, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.407250Z"},"links":{"cited_paper":"/paper/2409.02060","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:297912e72db4a62d36f196245b2e62bde4dbb90f3d3c765abda3b1fe6aa5454c","observation_id":"5152de97-68a8-4992-b6bd-c9acfe490bd5","resolution":{"observed_at":"2026-08-15T18:58:34.407250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.216695Z","title":", Sreenivas, S","venue":null,"work_id":"49a467dc-c397-40ed-8847-401d8834db4d","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.412413Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:c9a4cb05b0cdb324d0d06ccae074e39805ff0caa9303e7cc94a3af318b35ac25","observation_id":"065438f6-c461-495e-a947-d340fa08e349","resolution":{"observed_at":"2026-08-15T18:58:36.222268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05089","last_updated":"2024-04-07T22:13:43Z","snapshot_observed_at":"2026-08-19T17:44:33.049704Z","submitted_at":"2024-04-07T22:13:43Z","title":"SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05089","snapshot_observed_at":"2026-08-15T18:58:34.418297Z","title":", Sun, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.418297Z"},"links":{"cited_paper":"/paper/2404.05089","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:7921f03084b156b3f8a12fa561338d813586fb4f4eb2f831c5c90de8def216fe","observation_id":"7b65f243-5c65-4455-9c50-2f034f5b897b","resolution":{"observed_at":"2026-08-15T18:58:34.418297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16819","last_updated":"2024-02-27T15:22:57Z","snapshot_observed_at":"2026-08-21T08:19:23.593808Z","submitted_at":"2024-02-26T18:43:45Z","title":"Nemotron-4 15B Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16819","snapshot_observed_at":"2026-08-15T18:58:34.511514Z","title":", Prabhumoye, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.511514Z"},"links":{"cited_paper":"/paper/2402.16819","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:c352697213a3ba95339b1089c7f967101eb2bc092e02f377abd20eee753a15b9","observation_id":"ee0f9dc8-46be-4a58-9f64-6dc855680cbb","resolution":{"observed_at":"2026-08-15T18:58:34.511514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16215","last_updated":"2024-10-21T17:16:13Z","snapshot_observed_at":"2026-08-16T13:07:18.575119Z","submitted_at":"2024-10-21T17:16:13Z","title":"Pre-training Distillation for Large Language Models: A Design Space Exploration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16215","snapshot_observed_at":"2026-08-15T18:58:34.630043Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.630043Z"},"links":{"cited_paper":"/paper/2410.16215","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:75d918670305d916f90f81adfa199d19e2d7606845af63e80cd8005f3c84489b","observation_id":"41a7662b-67f5-4659-b91c-87327689863c","resolution":{"observed_at":"2026-08-15T18:58:34.630043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.200658Z","title":", Sharma, A","venue":null,"work_id":"8674cdd9-53fa-4b9f-ab8c-cfb266f672b9","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.635530Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:561092cd5e29967344dbc4117208bb78cfcccf11e410cb8923fd09c954db7d78","observation_id":"582a7b3b-a78d-4856-8029-316d8d0db109","resolution":{"observed_at":"2026-08-15T18:58:36.206596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12022","last_updated":"2023-11-20T18:57:34Z","snapshot_observed_at":"2026-08-21T17:04:32.090035Z","submitted_at":"2023-11-20T18:57:34Z","title":"GPQA: A Graduate-Level Google-Proof Q&A Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12022","snapshot_observed_at":"2026-08-15T18:58:34.639517Z","title":", Hou, B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.639517Z"},"links":{"cited_paper":"/paper/2311.12022","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:f46b52b1f7edfea65b39ff1575c58780c8b78d457812fcdc0d13695c5e786681","observation_id":"68d60147-8fce-4e11-937a-9d225e6243c3","resolution":{"observed_at":"2026-08-15T18:58:34.639517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6550","last_updated":"2015-03-27T11:52:28Z","snapshot_observed_at":"2026-08-21T09:34:24.033629Z","submitted_at":"2014-12-19T22:40:51Z","title":"FitNets: Hints for Thin Deep Nets","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6550","snapshot_observed_at":"2026-08-15T18:58:34.644247Z","title":", Ballas, N","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.644247Z"},"links":{"cited_paper":"/paper/1412.6550","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:6c6c763a422c079943d9a4cd5d72ff71c1287415a23e4d96001337a377f34c92","observation_id":"1901b909-9aa0-437c-92db-bac6e04954a4","resolution":{"observed_at":"2026-08-15T18:58:34.644247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.186233Z","title":", Bras, R","venue":null,"work_id":"ad7bf0ff-91bf-49ba-8f35-e0ed38718811","year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.648977Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:491e7cb58fa60087d7781f25b3cf79fd97ada3bd67170f362797448ed673598b","observation_id":"bdcfc80c-ef83-4f04-86c7-77bc33b92977","resolution":{"observed_at":"2026-08-15T18:58:36.190485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.170692Z","title":", Wolf, T","venue":null,"work_id":"07e2e2bb-779b-4e89-bcfd-3c335ff7fa5a","year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.653475Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:34f0533fb9cce96127320eb5e6d0212bf4cec1783cfaa581c5ba9ca6de5a6149","observation_id":"cb85d8ef-3f8f-428e-98ce-614ec50c1083","resolution":{"observed_at":"2026-08-15T18:58:36.175644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05202","last_updated":"2020-02-12T19:57:13Z","snapshot_observed_at":"2026-08-11T06:21:56.129166Z","submitted_at":"2020-02-12T19:57:13Z","title":"GLU Variants Improve Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05202","snapshot_observed_at":"2026-08-15T18:58:34.657724Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.657724Z"},"links":{"cited_paper":"/paper/2002.05202","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:46fe1bd23cf3f037d8a394ce7965519342d95c2d27bec20fc5059dfa749859ab","observation_id":"353a0006-75b7-4a16-9e63-5c1f825adb2e","resolution":{"observed_at":"2026-08-15T18:58:34.657724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-08-19T12:32:00.517027Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-08-15T18:58:34.662292Z","title":", Mirhoseini, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.662292Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:7b61e5361fc2ef6a22981ac45aa0c93eec61d29fee9c65d473d2a0948c74f014","observation_id":"34603bff-0226-42dc-a528-1ba47f1e7cac","resolution":{"observed_at":"2026-08-15T18:58:34.662292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.085194Z","title":", Scales, N","venue":null,"work_id":"7e7f0d09-15b9-4825-ace4-3cc536a0721f","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.667156Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:ef4cbcf05286a82ab60628d261e713e57f02c224b8a848bbb57b5e0eac506db7","observation_id":"9c81ef9f-7f2e-4875-9f35-04a740095838","resolution":{"observed_at":"2026-08-15T18:58:36.121996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-15T18:58:34.671575Z","title":", Kamath, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.671575Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:572bfe3a6c502a8fab174f9c0ef0979172d0ff75d2f5c5baada97c522a02183d","observation_id":"605de9ce-ad19-4436-bb2e-8f07bbfc0394","resolution":{"observed_at":"2026-08-15T18:58:34.671575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.070209Z","title":null,"venue":null,"work_id":"14ef10e5-8193-4d42-a6e9-5868b6407f99","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.676424Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:1f3e8086cedced36bf0b5ea31c08d15a6f843a694692219176ba23cff4f3125c","observation_id":"b4d63011-1d10-459a-81b9-6af79c3e44b4","resolution":{"observed_at":"2026-08-15T18:58:36.074791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.053975Z","title":", Shazeer, N","venue":null,"work_id":"39083532-f2ca-4ffa-9217-3b92de5d72fe","year":2017},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.681114Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:cd9124389e90eb0c8e2ce636ad59ffe7b6aeb197f27c81760f816c88585d2eb0","observation_id":"f737ead1-734b-49c5-995a-8b993003036f","resolution":{"observed_at":"2026-08-15T18:58:36.059688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.037756Z","title":null,"venue":null,"work_id":"e6f63a2d-b73e-4875-a699-6521842d6903","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.685762Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:0cb9ecc3b0f6c42639a514664646d06c365a58d3e13c69e00e08604562807df3","observation_id":"6a2eef9a-de43-425b-9e75-f8e84e90df29","resolution":{"observed_at":"2026-08-15T18:58:36.043811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:36.019544Z","title":", Gao, T","venue":null,"work_id":"0cfd895d-2c82-4a1f-adab-f3301edf95fe","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.690112Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:e72f3f52219d958790b4e18f6878cc03dc4b34c8b9db066ff4d38c6df41bb751","observation_id":"2e003f94-294b-4f50-a652-b55061d74b26","resolution":{"observed_at":"2026-08-15T18:58:36.024674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00408","last_updated":"2022-05-02T19:21:13Z","snapshot_observed_at":"2026-08-16T17:09:58.195739Z","submitted_at":"2022-04-01T13:09:56Z","title":"Structured Pruning Learns Compact and Accurate Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00408","snapshot_observed_at":"2026-08-15T18:58:34.694908Z","title":", Zhong, Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.694908Z"},"links":{"cited_paper":"/paper/2204.00408","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:dc2e1ffc8914913e0a7aedea8f1a4e183ebe08d59c9f8294d60e843b1b4177c2","observation_id":"ef7876b9-4dc5-4d2e-ba34-221b5595ef62","resolution":{"observed_at":"2026-08-15T18:58:34.694908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12013","last_updated":"2024-10-15T19:22:27Z","snapshot_observed_at":"2026-08-16T13:09:03.103606Z","submitted_at":"2024-10-15T19:22:27Z","title":"MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12013","snapshot_observed_at":"2026-08-15T18:58:34.772556Z","title":", Zhang, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.772556Z"},"links":{"cited_paper":"/paper/2410.12013","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:15c8952a164213955a298f8437a73caa96dfd1681b71544c26918bc701f951cc","observation_id":"46740959-1431-425b-8a9b-f9a2ddea1f5f","resolution":{"observed_at":"2026-08-15T18:58:34.772556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-15T18:58:34.895904Z","title":", Yang, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.895904Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:1de405a2a59b6225fd65e367eb2fd78785a658674c84befb6deec932d486d955","observation_id":"f67a78b1-1d12-4b16-bdc5-6f1520553529","resolution":{"observed_at":"2026-08-15T18:58:34.895904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01016","last_updated":"2024-11-01T20:37:58Z","snapshot_observed_at":"2026-08-16T13:03:40.201366Z","submitted_at":"2024-11-01T20:37:58Z","title":"MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01016","snapshot_observed_at":"2026-08-15T18:58:34.901052Z","title":", Sui, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.901052Z"},"links":{"cited_paper":"/paper/2411.01016","citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:98840fd5ec11e3ba4531d06b9c49dd78c04957defd4f86776238dc5c0f06c81b","observation_id":"38e4c1b4-dff6-4853-919d-8e25c1d55aed","resolution":{"observed_at":"2026-08-15T18:58:34.901052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:35.887897Z","title":", Cao, Z","venue":null,"work_id":"7857356f-5448-4347-9c40-17c52007c4e2","year":2024},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.905974Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:bfd2999097812c2cec50c28c6405299e1270b67332d25dcd3f7bfed13828096b","observation_id":"03c89b0e-a43b-47fa-93a7-aea4ee201fdb","resolution":{"observed_at":"2026-08-15T18:58:35.970434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:35.870789Z","title":", Holtzman, A","venue":null,"work_id":"52d75d3c-c876-459e-9e3e-6d97b6a8094c","year":2019},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.910175Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:03874fe9f97692ce6e9c396724c715f7c266b9ccbac6d7d76a74741daf143906","observation_id":"07b3587a-2a5b-4856-9b2f-a713fcf7a110","resolution":{"observed_at":"2026-08-15T18:58:35.876041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:35.853861Z","title":", Zuo, S","venue":null,"work_id":"4f7215e7-1ae6-4311-bcd9-84983047ea21","year":2022},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.914257Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:68f7715fff0c61e5bf7fe3579ee059a335dfeecff2d12758623bcb4db8e99c31","observation_id":"e885dcaa-0258-4b72-b3be-70b6182dcbe9","resolution":{"observed_at":"2026-08-15T18:58:35.858981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:58:35.733236Z","title":", Chiang, W","venue":null,"work_id":"8b870955-1d18-41dc-bcbc-d479503c9983","year":2023},"citing_paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T18:58:34.919046Z"},"links":{"citing_paper":"/paper/2506.18349"},"observation_digest":"sha256:0f5d0cf8c36c5843f52e40dbb7aaad583f8bcd0421ca595cfe2b729ac7fc7028","observation_id":"dafb951e-7917-401f-ace9-8064dd69bf4e","resolution":{"observed_at":"2026-08-15T18:58:35.807967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18349","last_updated":"2025-06-23T07:15:59Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T09:56:55.224390Z","submitted_at":"2025-06-23T07:15:59Z","title":"SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":0,"verified_fuzzy":27},"total_outbound_references":73},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 5 inbound Pith citation observations for arXiv:2506.18349."}