{"as_of":"2026-08-13T05:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21a739c76a3f97442aac22f99121089d0deea0f7e960c61665e34b942a2c6a09","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:03:16.159339Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T16:24:18.110626Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"cited_work":{"arxiv_id":"2505.20144","doi":"10.48550/arxiv.2505.20144","metadata_source":"pith","pith_arxiv_id":"2505.20144","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","venue":"cs.CL","work_id":"7063c5a9-4b25-42f0-ac57-20ded94d27ad","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":18,"source":"arxiv_source","source_observed_at":"2026-08-01T16:24:18.110626Z"},"links":{"cited_paper":"/paper/2505.20144","citing_paper":"/paper/2607.18026"},"observation_digest":"sha256:f5060bb8517e8abfa0477213c8351232dda7b66e258da4cf8cd68d8a199af01d","observation_id":"09df3320-284b-441f-827c-13d9ba88f6e1","resolution":{"observed_at":"2026-08-01T16:28:38.701791Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20144/citation-record","integrity":"/paper/2505.20144/integrity","json":"/paper/2505.20144/citation-record.json","paper":"/paper/2505.20144"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:18.047240Z","title":null,"venue":null,"work_id":"74a970e3-a49b-4d94-992a-b28406f84f09","year":2021},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:14.884304Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:4e1ff9ec43d2bf3c34f89ede21ff055ad6bc16057b1d8fd955f82604799d98a7","observation_id":"28e1af3f-82e6-42eb-a83f-04caaae797c3","resolution":{"observed_at":"2026-08-07T14:03:18.174493Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:17.829105Z","title":null,"venue":null,"work_id":"5bd6f9df-9c6a-4e2b-bd1a-601dfbfdf35d","year":2024},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:14.986630Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:5b352e8909ceac21053c7af46741223e3cf6025c4b019b86556d35b356a651bd","observation_id":"e608e0ba-e5d2-4d4d-b906-3b4bd463e65c","resolution":{"observed_at":"2026-08-07T14:03:17.947172Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16184","last_updated":"2024-10-14T04:19:06Z","snapshot_observed_at":"2026-08-13T04:32:39.984087Z","submitted_at":"2024-01-29T14:29:48Z","title":"Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16184","snapshot_observed_at":"2026-08-07T14:03:15.083451Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.083451Z"},"links":{"cited_paper":"/paper/2401.16184","citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:8eecea868ef6492318377ec61878150a9d105dc01b3fcf58243e9e78209fff30","observation_id":"c9368a3d-9597-4674-8492-7f6b7ccc8c61","resolution":{"observed_at":"2026-08-07T14:03:15.083451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:17.556142Z","title":null,"venue":null,"work_id":"290ff09e-85de-46fc-b89e-0ece4808e1cb","year":2023},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.223837Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:ed39ba0c62ffe934dd9c898fbbb96a787a2ee53ddf761608941852b2b5897582","observation_id":"8fa57dcf-c5aa-4625-9699-947d1d97b1b5","resolution":{"observed_at":"2026-08-07T14:03:17.660311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:17.358613Z","title":null,"venue":null,"work_id":"079022be-123e-4d03-bb08-047bc617e8e1","year":2023},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.313875Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:39b792f6d404a177b20804f57487bd0aec8ff2b7107864c8a71f608e5ad7b428","observation_id":"9caf071c-d0e9-44b3-8ed2-5ab8bc44821c","resolution":{"observed_at":"2026-08-07T14:03:17.418544Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:17.145282Z","title":null,"venue":null,"work_id":"2c55ec01-ddce-4f9c-a0ac-30b7686df0ec","year":2021},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.432188Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:ec726d0223f91768535e52d0da99e28683804122ccb334b52b2e604ca08e6fff","observation_id":"58f54ae8-1464-47e6-9cb2-da93bb9b497f","resolution":{"observed_at":"2026-08-07T14:03:17.239977Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16107","last_updated":"2024-05-29T03:58:10Z","snapshot_observed_at":"2026-08-13T04:10:36.105452Z","submitted_at":"2024-02-25T15:11:58Z","title":"Knowledge Fusion of Chat LLMs: A Preliminary Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16107","snapshot_observed_at":"2026-08-07T14:03:15.585808Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.585808Z"},"links":{"cited_paper":"/paper/2402.16107","citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:d2ead9ffdc60bdff9b281c6b844f0503c9fa3e1652f08b89fc3ab283e33596d5","observation_id":"2fc5880d-14d7-4505-8378-5c72ea0dba49","resolution":{"observed_at":"2026-08-07T14:03:15.585808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:16.898783Z","title":"Gadre, Rebecca Roelofs, Raphael Gontijo-Lopes, Ari S","venue":null,"work_id":"6ef43535-9b25-43ff-9ffd-5bc266b9a8dd","year":2022},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.715836Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:677851ce9b914a1349ca843c644d179cb04038f42872c178fba040e1a9ee270b","observation_id":"68764452-fb2e-4cb7-9be3-a7ed89bf1aae","resolution":{"observed_at":"2026-08-07T14:03:17.005508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:16.656392Z","title":null,"venue":null,"work_id":"f662e70c-0b56-4986-8ebe-a897053c5901","year":2023},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.842217Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:36ca0e96e99043ef4b07a7133c16c16a42323e23821fb3ba76d73ebd51130858","observation_id":"f7693ba9-43a5-421e-9c5e-a77b8fa03695","resolution":{"observed_at":"2026-08-07T14:03:16.761987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:16.445407Z","title":null,"venue":null,"work_id":"a9ae0e42-b8d3-441e-8673-a329edd47c6d","year":2024},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:15.906485Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:3b27178ed31952abeb9b22ca6501c844519685fd5040218bcade3daefbc57f9b","observation_id":"597ab74a-fd93-4c47-bbc9-d5c70e1027a0","resolution":{"observed_at":"2026-08-07T14:03:16.533447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:16.017332Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:16.017332Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:7982c7d191c0c098772d474bac84e536be96d39fb7a979bb13a7ed4015083f49","observation_id":"a955262f-ff5d-4423-9f8d-9436cbc9b2e6","resolution":{"observed_at":"2026-08-07T14:03:16.017332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:16.159339Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T14:03:16.159339Z"},"links":{"citing_paper":"/paper/2505.20144"},"observation_digest":"sha256:5e2834d8241760068e8bb0e5384505ce81f98e421e58e28b6f5ffe1b3b8338fe","observation_id":"b6584ca8-9e1b-4904-a5c7-b2263ad6ec7a","resolution":{"observed_at":"2026-08-07T14:03:16.159339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.20144","last_updated":"2025-05-26T15:45:56Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T14:55:58.524235Z","submitted_at":"2025-05-26T15:45:56Z","title":"SeMe: Training-Free Language Model Merging via Semantic Alignment"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":12},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2505.20144."}