{"as_of":"2026-08-07T22:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:770ea763e9cb5588593a843567b44779483c2b988598a4c2246020e6e6e6b724","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T14:12:39.743785Z","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":"2026-07-02T16:27:09.416126Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2408.07666","last_updated":"2025-12-31T04:06:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-14T16:58:48Z","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","version":5},"reference_index":264,"source":"pdf_text","source_observed_at":"2026-05-17T22:16:04.386706Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2408.07666"},"observation_digest":"sha256:e4514ed6b1404da0a5452336705f79eb1b5e4013ac832fe4d8eea5049477b083","observation_id":"ccf5ecc1-f8e2-4a86-9e61-92e6e7b93ec7","resolution":{"observed_at":"2026-05-17T22:16:04.798902Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-07T14:12:39.743785Z","title":"What matters for model merging at scale?arXiv preprint arXiv:2410.03617, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19797","last_updated":"2025-06-18T09:47:20Z","snapshot_observed_at":"2026-08-07T14:03:55.329634Z","submitted_at":"2025-05-26T10:29:42Z","title":"The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:39.743785Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2505.19797"},"observation_digest":"sha256:755e8fd210ded7294fad6cbb08a189fe06b6169fcc8222ab6251adac796f57a7","observation_id":"999710fb-ac4a-43c4-809a-3567aaa182c8","resolution":{"observed_at":"2026-08-07T14:12:39.743785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-07T13:58:39.345675Z","title":"What matters for model merging at scale?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20477","last_updated":"2025-05-26T19:21:42Z","snapshot_observed_at":"2026-08-07T13:51:45.164647Z","submitted_at":"2025-05-26T19:21:42Z","title":"Robust fine-tuning of speech recognition models via model merging: application to disordered speech","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:39.345675Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2505.20477"},"observation_digest":"sha256:86817214eb230adc901568e9a180c99dce61da897316c1c0baa10cf9140ebe56","observation_id":"2fa57d73-72ca-406a-b633-d38e7d24b9b8","resolution":{"observed_at":"2026-08-07T13:58:39.345675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-07T13:44:36.048280Z","title":"What matters for model merging at scale?arXiv preprint arXiv:2410.03617, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21226","last_updated":"2025-06-03T14:43:50Z","snapshot_observed_at":"2026-08-07T13:30:34.871371Z","submitted_at":"2025-05-27T14:10:46Z","title":"Why Do More Experts Fail? A Theoretical Analysis of Model Merging","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:44:36.048280Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2505.21226"},"observation_digest":"sha256:d919acb86353264efa10abe93d00f3dca49fb6ea0fb6a0e200f221e0e0043a93","observation_id":"d75f9e00-ade1-4bfa-87a9-8e15c2c7303c","resolution":{"observed_at":"2026-08-07T13:44:36.048280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-06T19:07:37.304965Z","title":"What matters for model merging at scale?, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07140","last_updated":"2025-07-14T04:57:05Z","snapshot_observed_at":"2026-08-07T03:13:31.294588Z","submitted_at":"2025-07-09T03:25:45Z","title":"Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T19:07:37.304965Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2507.07140"},"observation_digest":"sha256:e1bdb26a700e62e9a6918ca37c7e6e2a72014d414a7993daa3dfe41e5849a7bc","observation_id":"50f6427a-6a53-420d-a4f3-e1483cba258f","resolution":{"observed_at":"2026-08-06T19:07:37.304965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2509.24244","last_updated":"2026-05-11T07:55:31Z","snapshot_observed_at":"2026-07-06T22:31:00.843452Z","submitted_at":"2025-09-29T03:36:55Z","title":"Model Merging Scaling Laws in Large Language Models","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T13:32:33.009367Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2509.24244"},"observation_digest":"sha256:78fdedd701fb3c23b988e64f0da932a65d90345cbb72063a6ac7008b85b77b4a","observation_id":"5e4c32a8-7be0-442c-bad9-8e7f3a4f5f31","resolution":{"observed_at":"2026-05-18T13:32:37.698609Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2510.04686","last_updated":"2026-04-21T09:01:24Z","snapshot_observed_at":"2026-08-02T11:55:04.825901Z","submitted_at":"2025-10-06T10:56:41Z","title":"How does the optimizer implicitly bias the model merging loss landscape?","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T09:49:41.550981Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2510.04686"},"observation_digest":"sha256:fc99b2a8f881a8ad307cbfa0403cd36a982a436da1b41ac5a10118df6024a56c","observation_id":"87dcf8d5-dd5b-411e-a807-fbbc865b07b5","resolution":{"observed_at":"2026-05-18T09:51:13.439804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2511.01831","last_updated":"2026-04-06T20:32:02Z","snapshot_observed_at":"2026-08-02T08:19:53.364576Z","submitted_at":"2025-11-03T18:39:32Z","title":"Routing-Based Continual Learning for Multimodal Large Language Models","version":3},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-18T00:52:36.700027Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2511.01831"},"observation_digest":"sha256:e13dffadac8d75c5bfda1b19a8ebfe034b6aa020f4de13f6c5fc7270c879ad9e","observation_id":"fc6a9319-a13e-4d4c-8531-5e16e5c70fa2","resolution":{"observed_at":"2026-05-18T00:55:35.330976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2605.10903","last_updated":"2026-05-11T17:41:54Z","snapshot_observed_at":"2026-07-06T23:22:47.781940Z","submitted_at":"2026-05-11T17:41:54Z","title":"CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T04:07:52.566360Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2605.10903"},"observation_digest":"sha256:a4f7cbb851942e4edf3ffb68456f35989ecaa1e03c386038c07c675cef03462f","observation_id":"466fe225-29e5-4694-95fd-1abec09a814f","resolution":{"observed_at":"2026-05-12T06:36:27.174795Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":"2410.03617","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-07-02T16:27:09.416126Z","title":"What matters for model merging at scale? arXiv preprint arXiv:2410.03617","venue":null,"work_id":"5b5ae918-8c23-48e5-a791-6b95e5ae2639","year":2024},"citing_paper":{"arxiv_id":"2606.07289","last_updated":"2026-06-05T14:00:47Z","snapshot_observed_at":"2026-08-01T07:32:32.007503Z","submitted_at":"2026-06-05T14:00:47Z","title":"Closed-Form Spectral Regularization for Multi-Task Model Merging","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T22:40:00.510742Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2606.07289"},"observation_digest":"sha256:bbb7b340542f97c6513f35885865f2e98b9cf7015548bc28878b26a2862cfd42","observation_id":"cf69f044-6114-4f7c-91a4-a6332a327cbe","resolution":{"observed_at":"2026-07-02T16:27:09.417586Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-01T16:24:21.762226Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18026","last_updated":"2026-07-20T14:58:53Z","snapshot_observed_at":"2026-08-04T12:31:14.531365Z","submitted_at":"2026-07-20T14:58:53Z","title":"Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-01T16:24:21.762226Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2607.18026"},"observation_digest":"sha256:d2988edfaf9d112c02c8762a4a7c0fb555443f235dc24eb9cc1270fdcdee2bdc","observation_id":"3fa8134f-fa31-4c93-a0ed-10cfad38c2a9","resolution":{"observed_at":"2026-08-01T16:24:21.762226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03617","snapshot_observed_at":"2026-08-06T22:22:42.551293Z","title":"arXiv preprint arXiv:2410.03617 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04548","last_updated":"2026-08-05T07:37:23Z","snapshot_observed_at":"2026-08-07T21:17:36.256074Z","submitted_at":"2026-08-05T07:37:23Z","title":"A Model Merging Approach for Continual MLLM Unlearning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T22:22:42.551293Z"},"links":{"cited_paper":"/paper/2410.03617","citing_paper":"/paper/2608.04548"},"observation_digest":"sha256:5914dbcc1de195085b09a4f86cee08c021c0fb3f881ff9b215077688b55cd0c1","observation_id":"7f1d5559-9eeb-468a-a5b6-8d723c374db0","resolution":{"observed_at":"2026-08-06T22:22:42.551293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.03617/citation-record","integrity":"/paper/2410.03617/integrity","json":"/paper/2410.03617/citation-record.json","paper":"/paper/2410.03617"},"outbound":[],"paper":{"arxiv_id":"2410.03617","last_updated":"2024-10-04T17:17:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:27:52.298292Z","submitted_at":"2024-10-04T17:17:19Z","title":"What Matters for Model Merging at Scale?"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.03617."}