{"as_of":"2026-08-10T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3b6c78c5d3c2a7eb2a69f3389666118823fc654412d39ba7d81579113670f30","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T10:21:00.814433Z","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":"2026-07-04T06:39:36.837359Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","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":"2026-08-09T10:21:00.814433Z","title":"J., Wang, S., Liang, C., Shen, Y., Cheng, H., Liu, X., Tanaka, M., Wu, X., Hu, W., et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.03009","last_updated":"2025-06-16T05:27:08Z","snapshot_observed_at":"2026-08-09T14:19:35.717054Z","submitted_at":"2025-02-05T09:11:13Z","title":"Scaling Laws for Upcycling Mixture-of-Experts Language Models","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-09T10:21:00.814433Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2502.03009"},"observation_digest":"sha256:fde50a31c55c64ab1d84707fd513bfdd1032be1b529f4ba0011f87084be09e7c","observation_id":"4ee4bebb-f43a-44a5-8107-e7a2c1a05720","resolution":{"observed_at":"2026-08-09T10:21:00.814433Z","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":"2026-08-07T11:17:05.501623Z","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":"2026-08-06T18:20:00.301919Z","title":"GRIN : Gradient-informed MoE","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":28,"source":"arxiv_source","source_observed_at":"2026-08-06T18:20:00.301919Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2507.08771"},"observation_digest":"sha256:b4b5d84aec97726b9b6119f183ba2d60e2c1d6dbfaaabf7033f480b494607164","observation_id":"47be00ea-9acd-4eb0-a587-56d76c9d458e","resolution":{"observed_at":"2026-08-06T18:20:00.301919Z","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":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2509.19349","last_updated":"2025-09-17T17:49:02Z","snapshot_observed_at":"2026-08-08T12:04:51.587933Z","submitted_at":"2025-09-17T17:49:02Z","title":"ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution","version":1},"reference_index":234,"source":"arxiv_source","source_observed_at":"2026-05-16T13:58:58.627748Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2509.19349"},"observation_digest":"sha256:966c6064a965d3c73e02b1857cbfd7c4a750a72151220a4d441ab7da73f87b66","observation_id":"da875ac0-0fff-44f7-8f84-041aa0f67fff","resolution":{"observed_at":"2026-05-16T13:58:59.022631Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":1},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-05-12T03:36:12.915133Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:97d0437ee21929e0517afc98e83523fe3b1b2851085b9854fda4c15abdfe7c69","observation_id":"fa17faeb-9164-4551-96cb-f7268a9e375b","resolution":{"observed_at":"2026-05-12T03:36:19.940792Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":2},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-05-13T07:29:14.545746Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:775a42cd7b8caa998ea017ca740b99a7104a6c3f4b47b1529e3e3e630d7c4d95","observation_id":"77632243-c56e-42a2-bcd0-d436d4ec841e","resolution":{"observed_at":"2026-05-13T07:32:30.432435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2605.10933","last_updated":"2026-05-20T17:26:14Z","snapshot_observed_at":"2026-08-03T07:36:40.918472Z","submitted_at":"2026-05-11T17:58:28Z","title":"DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices","version":3},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-05-21T07:57:49.746594Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2605.10933"},"observation_digest":"sha256:c75770b7be25d88d14a9569504db42ffc52e4d13b0dc00ef5cbf861957f225fd","observation_id":"0f4bf999-e6ee-484c-9efc-dfc8d5286440","resolution":{"observed_at":"2026-05-21T07:59:50.250680Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2605.16690","last_updated":"2026-05-15T23:06:59Z","snapshot_observed_at":"2026-07-06T23:27:48.303599Z","submitted_at":"2026-05-15T23:06:59Z","title":"UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-20T19:06:08.951475Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2605.16690"},"observation_digest":"sha256:fb1caaa6d9fe4217af4923c487a9fe2c93a60ea59cd3b13489589f3c1b9f74f2","observation_id":"cb635fac-eafd-454c-b463-e89018c06de9","resolution":{"observed_at":"2026-05-20T19:08:54.351169Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE","version":1},"cited_work":{"arxiv_id":"2409.12136","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12136","snapshot_observed_at":"2026-07-04T06:39:36.837359Z","title":"2409.12136 , archivePrefix=","venue":null,"work_id":"06417e42-da05-4a53-9f13-9d31b815ca28","year":2024},"citing_paper":{"arxiv_id":"2606.21228","last_updated":"2026-06-23T04:40:39Z","snapshot_observed_at":"2026-08-02T19:24:45.644999Z","submitted_at":"2026-06-19T08:47:40Z","title":"Sakana Fugu Technical Report","version":2},"reference_index":216,"source":"arxiv_source","source_observed_at":"2026-06-26T14:22:37.596720Z"},"links":{"cited_paper":"/paper/2409.12136","citing_paper":"/paper/2606.21228"},"observation_digest":"sha256:b5f05a7477bb7985932b9fdd6762d42b493e1e0425779d021961998add26b1e6","observation_id":"f7ea2aed-73d3-43fb-81d9-210bea69ba84","resolution":{"observed_at":"2026-07-04T06:39:36.839212Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.12136/citation-record","integrity":"/paper/2409.12136/integrity","json":"/paper/2409.12136/citation-record.json","paper":"/paper/2409.12136"},"outbound":[],"paper":{"arxiv_id":"2409.12136","last_updated":"2024-09-18T17:00:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:17:05.501623Z","submitted_at":"2024-09-18T17:00:20Z","title":"GRIN: GRadient-INformed MoE"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.12136."}