{"as_of":"2026-08-21T18:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b05f22af4f6a70049c28caa1bac5c520a6ee14f5f728b8329f459e1e5f5f735","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:17:55.649040Z","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":"2026-07-02T11:36:55.528238Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-08-07T14:17:55.649040Z","title":"Delta decompression for moe-based llms compression.ArXiv, abs/2502.17298,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19433","last_updated":"2025-06-01T13:59:15Z","snapshot_observed_at":"2026-08-16T17:51:48.234243Z","submitted_at":"2025-05-26T02:49:07Z","title":"Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:17:55.649040Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2505.19433"},"observation_digest":"sha256:4e74829577037657a2e5d42058f4386423ea438afaf45ddc17120a22fe3f288a","observation_id":"7471b494-bebc-44b2-ac98-e8fb7b70cc5d","resolution":{"observed_at":"2026-08-07T14:17:55.649040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-08-07T13:52:10.042146Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20925","last_updated":"2025-05-27T09:15:03Z","snapshot_observed_at":"2026-08-17T23:21:15.835136Z","submitted_at":"2025-05-27T09:15:03Z","title":"Multi-objective Large Language Model Alignment with Hierarchical Experts","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:52:10.042146Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2505.20925"},"observation_digest":"sha256:b34c9af798b88e5ac64d5600e3c7e272b42a3a470bafc60a111e64dad7ddfa03","observation_id":"78fd537e-1538-4f76-9220-d34c3e7e2139","resolution":{"observed_at":"2026-08-07T13:52:10.042146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-08-04T17:57:25.077844Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10377","last_updated":"2025-09-12T16:09:39Z","snapshot_observed_at":"2026-08-08T01:06:20.404584Z","submitted_at":"2025-09-12T16:09:39Z","title":"Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T17:57:25.077844Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2509.10377"},"observation_digest":"sha256:54bee8e55cffee4aa9ce4586c51377ac10d25d43f4c2cf916dff17139980c939","observation_id":"7bdbe17f-3b3a-4a46-a047-249925abe0b4","resolution":{"observed_at":"2026-08-04T17:57:25.077844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-08-03T23:41:52.856931Z","title":"Delta decompression for moe-based llms compression, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.04805","last_updated":"2026-07-06T16:04:54Z","snapshot_observed_at":"2026-08-19T21:35:53.497812Z","submitted_at":"2025-11-06T20:53:02Z","title":"PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-03T23:41:52.856931Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2511.04805"},"observation_digest":"sha256:85e4efe8e4c11f0702df5201be8d743ae5ecb9a5dd7c328fe82640c6d21faa0d","observation_id":"a02cae48-d646-42a7-943f-7854944a495e","resolution":{"observed_at":"2026-08-03T23:41:52.856931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":"2502.17298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-07-02T11:36:55.528238Z","title":"arXiv preprint arXiv:2502.17298 (2025)","venue":null,"work_id":"07909ecf-a749-4cea-b213-59322445dbf3","year":2025},"citing_paper":{"arxiv_id":"2603.06003","last_updated":"2026-04-11T04:36:36Z","snapshot_observed_at":"2026-07-06T22:48:04.438669Z","submitted_at":"2026-03-06T08:02:58Z","title":"EvoESAP: Non-Uniform Expert Pruning for Sparse MoE","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T14:34:48.524592Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2603.06003"},"observation_digest":"sha256:d3071f8c9d43d9aca9c821fadac78d205fe03191cd8ffd39b74e081f27853462","observation_id":"1054f7ef-8bbd-44ba-8180-6b1a84cd9428","resolution":{"observed_at":"2026-05-15T14:35:55.665059Z","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":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":"2502.17298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-07-02T11:36:55.528238Z","title":"arXiv preprint arXiv:2502.17298 (2025)","venue":null,"work_id":"07909ecf-a749-4cea-b213-59322445dbf3","year":2025},"citing_paper":{"arxiv_id":"2604.07753","last_updated":"2026-06-27T04:43:13Z","snapshot_observed_at":"2026-08-15T02:18:05.840452Z","submitted_at":"2026-04-09T03:19:26Z","title":"Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T18:24:17.872120Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2604.07753"},"observation_digest":"sha256:4443f90cf523e8f00cd9115219922e0d19a6fc6c1e03593de039f339a4740bd1","observation_id":"6b364542-12fe-47e2-98d8-cded1c5c893b","resolution":{"observed_at":"2026-05-11T00:41:04.126783Z","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":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":"2502.17298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-07-02T11:36:55.528238Z","title":"arXiv preprint arXiv:2502.17298 (2025)","venue":null,"work_id":"07909ecf-a749-4cea-b213-59322445dbf3","year":2025},"citing_paper":{"arxiv_id":"2604.18200","last_updated":"2026-04-20T12:50:21Z","snapshot_observed_at":"2026-07-06T23:05:08.728446Z","submitted_at":"2026-04-20T12:50:21Z","title":"Multi-LLM Token Filtering and Routing for Sequential Recommendation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T04:05:18.323554Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2604.18200"},"observation_digest":"sha256:ac69888c644ee1a6428ecde7ff59b19aad7cd8ff216892b69efafe2b5ef555b6","observation_id":"9f443108-f18e-43bb-86b3-b8cac2347057","resolution":{"observed_at":"2026-05-11T12:11:06.740649Z","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":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":"2502.17298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-07-02T11:36:55.528238Z","title":"arXiv preprint arXiv:2502.17298 (2025)","venue":null,"work_id":"07909ecf-a749-4cea-b213-59322445dbf3","year":2025},"citing_paper":{"arxiv_id":"2605.18904","last_updated":"2026-05-17T13:36:53Z","snapshot_observed_at":"2026-08-15T13:25:08.963984Z","submitted_at":"2026-05-17T13:36:53Z","title":"Dynamic Model Merging Made Slim","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-20T15:16:24.651868Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2605.18904"},"observation_digest":"sha256:ffcbce871f805ef802792df45edf88ad8b8c17aa408274f61d951aed3a3fa1c6","observation_id":"120c11e8-9fe3-4b1e-bfdb-4fdc13b4cd18","resolution":{"observed_at":"2026-05-20T15:18:25.370548Z","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":"2502.17298","last_updated":"2025-02-24T16:32:22Z","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression","version":1},"cited_work":{"arxiv_id":"2502.17298","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17298","snapshot_observed_at":"2026-07-02T11:36:55.528238Z","title":"arXiv preprint arXiv:2502.17298 (2025)","venue":null,"work_id":"07909ecf-a749-4cea-b213-59322445dbf3","year":2025},"citing_paper":{"arxiv_id":"2606.05538","last_updated":"2026-06-04T00:43:20Z","snapshot_observed_at":"2026-08-12T18:39:40.723016Z","submitted_at":"2026-06-04T00:43:20Z","title":"Less is MoE: Trimming Experts in Domain-Specialist Language Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-06-28T03:11:23.755739Z"},"links":{"cited_paper":"/paper/2502.17298","citing_paper":"/paper/2606.05538"},"observation_digest":"sha256:425220473dbc29442e7f5b6583615b9cefa366c307020ccc17e036fd1df7c700","observation_id":"ed35ca09-830f-49d2-a20d-b604f604c24e","resolution":{"observed_at":"2026-07-02T11:36:55.529639Z","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/2502.17298/citation-record","integrity":"/paper/2502.17298/integrity","json":"/paper/2502.17298/citation-record.json","paper":"/paper/2502.17298"},"outbound":[],"paper":{"arxiv_id":"2502.17298","last_updated":"2025-02-24T16:32:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-21T15:29:40.595682Z","submitted_at":"2025-02-24T16:32:22Z","title":"Delta Decompression for MoE-based LLMs Compression"},"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":"2026-08-21T06:32:19.484+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 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.17298."}