{"as_of":"2026-08-09T06:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:58533667719cbac05ca9c9ca857bc6fbcb989a89a2d4ec0d65380075fd0dfdcc","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:20:00.424283Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-06T18:20:00.424283Z","title":"ReMoE : Fully differentiable mixture-of-experts with ReLU routing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08771","last_updated":"2025-07-30T04:14:15Z","snapshot_observed_at":"2026-08-07T06:32:52.508610Z","submitted_at":"2025-07-11T17:28:56Z","title":"BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T18:20:00.424283Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2507.08771"},"observation_digest":"sha256:204be8647603c2ffebb7b363cfc607d8114bb516bb84a3af0f2bdd1f906c23e6","observation_id":"ad462045-dcd7-40d1-8b27-cfd91c2ebd0c","resolution":{"observed_at":"2026-08-06T18:20:00.424283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-06T15:35:48.428158Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15551","last_updated":"2025-07-26T02:01:33Z","snapshot_observed_at":"2026-08-06T15:26:48.151250Z","submitted_at":"2025-07-21T12:28:55Z","title":"RankMixer: Scaling Up Ranking Models in Industrial Recommenders","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:35:48.428158Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2507.15551"},"observation_digest":"sha256:b5bdf97e334387043339dbaaed8fd2833aad8a0425a89a8b7cbcec7eeb84542b","observation_id":"ab8686e6-3eb5-4afc-8b44-d1baf4d3f49f","resolution":{"observed_at":"2026-08-06T15:35:48.428158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-05T21:55:12.177334Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07785","last_updated":"2025-08-11T09:15:36Z","snapshot_observed_at":"2026-08-08T03:22:47.270683Z","submitted_at":"2025-08-11T09:15:36Z","title":"Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T21:55:12.177334Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2508.07785"},"observation_digest":"sha256:a856bb2804331027ce17223d8fb422bd6326751296d0b804bd14085555704c6d","observation_id":"878d5138-3799-4e4c-8c82-ff0eabd13369","resolution":{"observed_at":"2026-08-05T21:55:12.177334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-05T19:23:17.695452Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12801","last_updated":"2025-08-18T10:25:42Z","snapshot_observed_at":"2026-08-06T02:58:00.222739Z","submitted_at":"2025-08-18T10:25:42Z","title":"Maximum Score Routing For Mixture-of-Experts","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T19:23:17.695452Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2508.12801"},"observation_digest":"sha256:51e9eb5523e500e8043f24dd9af309c1522b3213454e6c864b1557a122e64f71","observation_id":"9610377f-ff36-42ae-af6f-0c424901b020","resolution":{"observed_at":"2026-08-05T19:23:17.695452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-05T05:40:26.258436Z","title":"Remoe: Fully differentiable mixture-of-experts with relu routing.CoRR, abs/2412.14711, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05086","last_updated":"2025-09-05T13:25:33Z","snapshot_observed_at":"2026-08-06T22:30:50.854960Z","submitted_at":"2025-09-05T13:25:33Z","title":"Robust Experts: the Effect of Adversarial Training on CNNs with Sparse Mixture-of-Experts Layers","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T05:40:26.258436Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2509.05086"},"observation_digest":"sha256:26e1c80e522c4140c9937aab49dda3eab2595c8003b6e98993e8b81937f2950c","observation_id":"b36adb7c-a25d-4662-a606-32fe8b5dd342","resolution":{"observed_at":"2026-08-05T05:40:26.258436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-08-03T16:21:33.601078Z","title":"Remoe: Fully differentiable mixture-of-experts with relu routing.arXiv preprint arXiv:2412.14711, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13996","last_updated":"2026-06-01T21:50:10Z","snapshot_observed_at":"2026-08-07T19:01:52.521673Z","submitted_at":"2025-12-16T01:28:57Z","title":"DTop-p MoE: Sparsity-Controlled Dynamic Top-p MoE for Foundation Model Pre-training","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T16:21:33.601078Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2512.13996"},"observation_digest":"sha256:7337a6a884fa58bb49810260366ecc7e0d8895075fc534686580705fa10e3fd7","observation_id":"335144a3-b82c-458e-b6f5-d2b889d740f3","resolution":{"observed_at":"2026-08-03T16:21:33.601078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2605.07260","last_updated":"2026-05-08T05:26:09Z","snapshot_observed_at":"2026-07-06T23:19:41.053744Z","submitted_at":"2026-05-08T05:26:09Z","title":"When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-11T01:50:40.158985Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2605.07260"},"observation_digest":"sha256:8b426be059bdd2b42ba8af78e9432a57d5bfdbc254d492aaa2b1d153b4314d73","observation_id":"ec3edc26-7909-472f-8f8f-56b8aa2b1b18","resolution":{"observed_at":"2026-05-11T01:50:51.067116Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2605.15484","last_updated":"2026-05-15T00:01:11Z","snapshot_observed_at":"2026-07-06T23:26:46.595393Z","submitted_at":"2026-05-15T00:01:11Z","title":"When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-19T16:21:02.198882Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2605.15484"},"observation_digest":"sha256:b694a05c26a844942a48f07a14e63eb53cfcbd6bced4da5864a5586f490defd8","observation_id":"a7ef6be2-6e0f-4616-bd14-b3983c3c9582","resolution":{"observed_at":"2026-05-19T16:22:39.085705Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2606.08814","last_updated":"2026-06-07T20:07:24Z","snapshot_observed_at":"2026-08-02T23:58:50.946844Z","submitted_at":"2026-06-07T20:07:24Z","title":"STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T18:28:35.162934Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2606.08814"},"observation_digest":"sha256:21105d2ae07c4eee2f754f502e9c0d2e17096022b470b9bd2c86833aa0f7aba0","observation_id":"8a86e7b4-6f4f-41b7-97c6-1868611fd5d0","resolution":{"observed_at":"2026-07-02T23:07:26.944882Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2606.20544","last_updated":"2026-06-18T17:55:00Z","snapshot_observed_at":"2026-07-06T23:55:38.979306Z","submitted_at":"2026-06-18T17:55:00Z","title":"Toward Calibrated Mixture-of-Experts Under Distribution Shift","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-06-26T17:22:41.410292Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2606.20544"},"observation_digest":"sha256:be1d0c8f8c42d3c67679668f1a96af823053d96bcf4bad05f2d3ce4fc6204ffb","observation_id":"1d127188-e08e-422f-9983-9aa95ddf114d","resolution":{"observed_at":"2026-07-04T03:59:33.772048Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2606.26287","last_updated":"2026-06-24T18:34:00Z","snapshot_observed_at":"2026-07-07T00:00:36.766142Z","submitted_at":"2026-06-24T18:34:00Z","title":"GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-26T01:32:40.435742Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2606.26287"},"observation_digest":"sha256:1a436764ae473bc7187c67a71b6611c5d6f60c6a7ce346ee85325fc36c46f08d","observation_id":"cb775f0d-b9ca-408b-832c-7376d6cc708d","resolution":{"observed_at":"2026-07-04T15:39:56.483106Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","version":2},"cited_work":{"arxiv_id":"2412.14711","doi":"10.48550/arxiv:2412.14711","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14711","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"doi:10.48550/arXiv:2412.14711 , year=","venue":null,"work_id":"f2a5b9fb-2946-4355-8a71-55a59c2873fb","year":2024},"citing_paper":{"arxiv_id":"2606.26938","last_updated":"2026-06-25T12:13:40Z","snapshot_observed_at":"2026-08-01T16:59:54.324752Z","submitted_at":"2026-06-25T12:13:40Z","title":"Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T05:11:59.761865Z"},"links":{"cited_paper":"/paper/2412.14711","citing_paper":"/paper/2606.26938"},"observation_digest":"sha256:fc8bf9e34daef2db10f0ca80a8a657044b8313916f3753b6699b726e8bf8a2b3","observation_id":"40ad7794-9a79-451e-9e84-d535ede2d500","resolution":{"observed_at":"2026-07-04T13:29:51.505226Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.14711/citation-record","integrity":"/paper/2412.14711/integrity","json":"/paper/2412.14711/citation-record.json","paper":"/paper/2412.14711"},"outbound":[],"paper":{"arxiv_id":"2412.14711","last_updated":"2025-02-27T16:33:09Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T03:21:13.453412Z","submitted_at":"2024-12-19T10:21:20Z","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2412.14711."}