{"as_of":"2026-08-19T03:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19162044662c3f2ad49e5c563689572e38a4b0a3bcfc3132e9e30c6a86c94c39","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:41:49.439539Z","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":"2026-07-01T21:06:14.775634Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-08-11T19:11:06.263124Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.07171","last_updated":"2024-12-10T04:09:29Z","snapshot_observed_at":"2026-08-14T07:22:41.809657Z","submitted_at":"2024-12-10T04:09:29Z","title":"Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T19:11:06.263124Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2412.07171"},"observation_digest":"sha256:fa258b765b24fb0955b169ab47ecc80455c33ae77c76b39103946876db340201","observation_id":"8aea5448-92f2-4b3b-8384-373e52c10ee6","resolution":{"observed_at":"2026-08-11T19:11:06.263124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-08-16T04:41:49.439539Z","title":"Maskmoe: Boosting token-level learning via routing mask in mixture-of-experts","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.00792","last_updated":"2025-05-01T18:44:20Z","snapshot_observed_at":"2026-08-16T04:32:27.057855Z","submitted_at":"2025-05-01T18:44:20Z","title":"Improving Routing in Sparse Mixture of Experts with Graph of Tokens","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T04:41:49.439539Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2505.00792"},"observation_digest":"sha256:acd2d4daadfbc837ac35c804ad190384e716fc3ed04eaf3b8b8790f9e4ed061e","observation_id":"1904b808-0b12-40dc-9745-fd0543cd9fa8","resolution":{"observed_at":"2026-08-16T04:41:49.439539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":"2407.09816","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-07-01T21:06:14.775634Z","title":"Maskmoe: Boosting token-level learning via routing mask in mixture-of-experts.arXiv preprint arXiv:2407.09816","venue":null,"work_id":"f8d3911b-112c-41b1-a7ef-aff99198df3e","year":2024},"citing_paper":{"arxiv_id":"2605.04952","last_updated":"2026-05-06T14:15:10Z","snapshot_observed_at":"2026-08-16T02:18:03.190090Z","submitted_at":"2026-05-06T14:15:10Z","title":"Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-08T17:58:10.323354Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2605.04952"},"observation_digest":"sha256:522b4d00e569f976439433ad546cd5ef8b11086726df39c3870449f8b7eff273","observation_id":"ebdbc4fa-4493-4280-9b02-d4dc26ecc4a7","resolution":{"observed_at":"2026-05-09T06:55:43.487477Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":"2407.09816","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-07-01T21:06:14.775634Z","title":"Maskmoe: Boosting token-level learning via routing mask in mixture-of-experts.arXiv preprint arXiv:2407.09816","venue":null,"work_id":"f8d3911b-112c-41b1-a7ef-aff99198df3e","year":2024},"citing_paper":{"arxiv_id":"2605.14438","last_updated":"2026-05-14T06:33:41Z","snapshot_observed_at":"2026-08-06T21:01:38.107284Z","submitted_at":"2026-05-14T06:33:41Z","title":"BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T01:59:33.047821Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2605.14438"},"observation_digest":"sha256:ac2e0e87b4a8bb511fc0847d397db37917742f60a51bd43d2e00467de1f009f9","observation_id":"a43cdf0f-afc0-4f12-8a83-7eb00437c1f6","resolution":{"observed_at":"2026-05-15T01:59:38.658248Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":"2407.09816","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-07-01T21:06:14.775634Z","title":"Maskmoe: Boosting token-level learning via routing mask in mixture-of-experts.arXiv preprint arXiv:2407.09816","venue":null,"work_id":"f8d3911b-112c-41b1-a7ef-aff99198df3e","year":2024},"citing_paper":{"arxiv_id":"2606.01047","last_updated":"2026-05-31T06:35:10Z","snapshot_observed_at":"2026-08-19T01:56:26.154206Z","submitted_at":"2026-05-31T06:35:10Z","title":"Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T17:26:36.956666Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2606.01047"},"observation_digest":"sha256:c350bd0559a7987106c32d64a34cc22d9b66f9c19415c72ed20627a2030e3174","observation_id":"7c2a98ed-7a81-48f8-b7a7-49fcfc41f7c8","resolution":{"observed_at":"2026-07-01T21:06:14.777623Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09816","snapshot_observed_at":"2026-08-08T00:41:22.260839Z","title":"MaskMoE: Boosting token-level learning via routing mask in mixture-of-experts.arXiv preprint arXiv:2407.09816,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04084","last_updated":"2026-08-04T18:00:01Z","snapshot_observed_at":"2026-08-18T13:06:19.594644Z","submitted_at":"2026-08-04T18:00:01Z","title":"SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T00:41:22.260839Z"},"links":{"cited_paper":"/paper/2407.09816","citing_paper":"/paper/2608.04084"},"observation_digest":"sha256:eaffef9c5f2c3afb8f93b18b764844c1d61e5f1fefcbae42e4d4dc30d5a657c9","observation_id":"6b5b6735-f117-475f-8cbc-93fe3a4d0f8d","resolution":{"observed_at":"2026-08-08T00:41:22.260839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.09816/citation-record","integrity":"/paper/2407.09816/integrity","json":"/paper/2407.09816/citation-record.json","paper":"/paper/2407.09816"},"outbound":[],"paper":{"arxiv_id":"2407.09816","last_updated":"2024-08-29T08:45:58Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T13:34:33.201721Z","submitted_at":"2024-07-13T09:22:33Z","title":"MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.09816."}