{"as_of":"2026-08-22T01:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:01093b6adac9dc4de9a6331aa6cb30d2a2d13b4bc8816924d63b47b8c0fa4d6f","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:08:19.885217Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.13479/citation-record","integrity":"/paper/2506.13479/integrity","json":"/paper/2506.13479/citation-record.json","paper":"/paper/2506.13479"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.686127Z","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.686127Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:8fd1328c34377c070fe0c0d82bebf940ed28214abd3c1405c873409def60d28b","observation_id":"2850f017-7c27-4abe-b435-6e9b8653d1ff","resolution":{"observed_at":"2026-08-15T20:08:19.686127Z","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":"10.1145/3545111","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.943511Z","title":"Building machine learning models like open source software","venue":null,"work_id":"625b38c2-3e70-4fb3-82fc-75144679d770","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.691463Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:72ca4bf0a15fd0c4d1bfeccb0638cc6bb1a02cb038063b89b2cce55d6a54cb1e","observation_id":"8889645a-8335-483a-a720-e05868cfbcd4","resolution":{"observed_at":"2026-08-15T20:08:19.949962Z","resolver_source":"doi","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":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-20T11:47:17.477107Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-15T20:08:19.696341Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.696341Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:1a58d9e109d041cd911caa89515145c9f12c082123a7c09c85254c994150d147","observation_id":"22a59b13-b843-417a-b380-f9f2f1bc5346","resolution":{"observed_at":"2026-08-15T20:08:19.696341Z","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":"2026-08-15T20:08:19.701098Z","title":"A dapter H ub playground: Simple and flexible few-shot learning with adapters","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.701098Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:f9e420df2343600290b9f1ab72259f2cba5a53633b4ad0f58be4b52456bf7980","observation_id":"ce4666d2-36cc-4375-952d-0d350db4c864","resolution":{"observed_at":"2026-08-15T20:08:19.701098Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-15T20:08:20.475550Z","title":"Lorahub: Efficient cross-task generalization via dynamic lora composition, 2024","venue":null,"work_id":"4aa8fe64-b517-4ba3-9695-2020b99673a0","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.705512Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:45919dedc24fdcfe7c6272f27ce44718e74ef4573ecf2aa907d8c87afa1f4c10","observation_id":"8fe03617-4179-4c18-881f-485fc3817c08","resolution":{"observed_at":"2026-08-15T20:08:20.479382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.464083Z","title":"Merging loras like playing lego: Pushing the modularity of lora to extremes through rank-wise clustering, 2024 a","venue":null,"work_id":"35cc6379-d316-40bc-99ba-10487036118a","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.709387Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:312d695c14113a92d23beef7c59b3b2d3b395dbfdd33638ba1c9c6729ca09395","observation_id":"7640c7b8-84da-4044-8b97-a6a723a58d4b","resolution":{"observed_at":"2026-08-15T20:08:20.468576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.452381Z","title":"Towards modular LLM s by building and reusing a library of L o RA s","venue":null,"work_id":"50800598-5348-4c24-8acf-641157cfac7c","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.713489Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:4ec4b266e70690811837a2852ea7f8650c230746113e0dd9916d46adbb2a7fe7","observation_id":"976c124b-eefb-4dc8-9e73-5b1fde71ec58","resolution":{"observed_at":"2026-08-15T20:08:20.456632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.440251Z","title":"Lora soups: Merging loras for practical skill composition tasks, 2024","venue":null,"work_id":"c47dc30a-971e-4e58-8df1-79b13a987fe8","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.717526Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:304b6155e1beeae806734c410526857fd18c15a8b3eb853fbf13f67847e230f9","observation_id":"b07e32ec-ca6a-41f2-bee9-3ca75a716386","resolution":{"observed_at":"2026-08-15T20:08:20.444952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.721164Z","title":"L ora R etriever: Input-aware L o RA retrieval and composition for mixed tasks in the wild","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.721164Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:e8e9d214dbcdac1de1569834febfa6e19c6b607f60aefd82813eb3b9cba7ffb7","observation_id":"a2eb55ed-5954-4c31-8e6f-6d682847239b","resolution":{"observed_at":"2026-08-15T20:08:19.721164Z","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":"2026-08-15T20:08:20.428854Z","title":"A survey on model moerging: Recycling and routing among specialized experts for collaborative learning","venue":null,"work_id":"f5e873cb-62ba-44d9-8521-ed4fe320f67d","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.724700Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:6afa157e5deab5f5d5071d0772daec58eb9d826e8f9b074513649669de87ae2b","observation_id":"24b0e510-5286-4f6f-87f7-fa135bdef1ed","resolution":{"observed_at":"2026-08-15T20:08:20.432455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.417913Z","title":"Lori: Reducing cross-task interference in multi-task low-rank adaptation, 2025","venue":null,"work_id":"8248971b-2c1c-4fc0-8798-774c5704556b","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.728427Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:c82261ef3a338489206059f21a180d88dc70a6e9019dc47572012684d8c72374","observation_id":"1aaf46c7-4271-4367-bc7e-3fb93f1a5497","resolution":{"observed_at":"2026-08-15T20:08:20.421681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.406139Z","title":"Realistic evaluation of model merging for compositional generalization, 2024","venue":null,"work_id":"19de6fde-426f-46a4-b17a-78b1b489d1dd","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.732151Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:63471e12730dbec1146f7cabedd0545a3d924b9bfd2fd621116ad46c4a12a2d6","observation_id":"30796c27-607a-40a9-81c3-b28c1306b6ec","resolution":{"observed_at":"2026-08-15T20:08:20.409886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.393852Z","title":"Lima: Less is more for alignment","venue":null,"work_id":"aeaf7553-67cf-47bc-a189-189d21ce7077","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.735927Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:5c0ce5cb831d2dc835ca03f9f33be6f49359dbf78b3b0bdc9b6c568b180c039e","observation_id":"7f0daa5b-6833-43f1-8e35-e64b444db321","resolution":{"observed_at":"2026-08-15T20:08:20.398143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.380680Z","title":"Does fine-tuning llms on new knowledge encourage hallucinations?, 2024","venue":null,"work_id":"62115490-b566-446b-9cb1-55290be3de73","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.739623Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:7eb5c6ea319734ec5684b8f51e8ab80dea5b94e553a94d6d68d024c56c2b42b6","observation_id":"dafa8c3e-14a7-495a-a8c5-4330931a62e0","resolution":{"observed_at":"2026-08-15T20:08:20.385027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.369203Z","title":"Understanding finetuning for factual knowledge extraction","venue":null,"work_id":"bf8695af-26f2-4f9a-91a9-4ad3a5f223a1","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.743119Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:ec2ed78f4c80d05bd9f2ed5b31e08dc56c2da958fb43c5c688d94d4edafda1a2","observation_id":"e49b2320-169e-4498-a34f-983551b37728","resolution":{"observed_at":"2026-08-15T20:08:20.373001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.357966Z","title":"The expressive power of low-rank adaptation, 2024","venue":null,"work_id":"7db0cd9b-11b6-4d87-a719-ff22f6cada3d","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.746588Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:11d930c3e74f686114e1a96a611cd39a066073bd07edf2eb84b212d4722695e8","observation_id":"04e9d243-439e-4d2b-9adb-6c84f1649ee5","resolution":{"observed_at":"2026-08-15T20:08:20.361724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.346953Z","title":"On the impact of fine-tuning on chain-of-thought reasoning, 2025","venue":null,"work_id":"cdbfc607-27cf-4c8d-8037-0dfdc0221c4a","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.751258Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:8f1f3268e566c25123bd8274740016e168afa30bf419015124beaf5762d91b92","observation_id":"5583879c-8a10-47d0-9659-01c8a79c9a29","resolution":{"observed_at":"2026-08-15T20:08:20.350987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.335312Z","title":"What is being transferred in transfer learning? In H","venue":null,"work_id":"aca753de-4f7e-4852-8515-d4cde843c5ff","year":2020},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.755575Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:f01a1411889f72d6a3bd604a096688288b67c8982242ccaedd61df555771c250","observation_id":"e83ab194-c62a-443f-bf48-c1fd4e42fc0a","resolution":{"observed_at":"2026-08-15T20:08:20.339385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.759079Z","title":"Editing models with task arithmetic, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.759079Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:659c70470d41a883c8cd2ab45eea88f9fc0554018a04e141ed729561e2ef5c9a","observation_id":"65422918-78e6-4215-b94a-31b9612a6660","resolution":{"observed_at":"2026-08-15T20:08:19.759079Z","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":"2026-08-15T20:08:20.314526Z","title":"Raffel, and Mohit Bansal","venue":null,"work_id":"bced98df-bb3b-4201-8d2f-c1408e1130cf","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.762907Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:4f2c618b58a5a944b5b8ee8cbf187292a965cfa473fb787feeb952a7e57569eb","observation_id":"d1743337-60cc-423e-9321-057e0e5a0793","resolution":{"observed_at":"2026-08-15T20:08:20.319081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.302144Z","title":"Language models are super mario: Absorbing abilities from homologous models as a free lunch","venue":null,"work_id":"e078f77d-3d21-42be-8239-d148118e13d9","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.766383Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:edc0d8b26182d075ba4832d3a6f6a6661c498f05d272563552bac1077ab431ad","observation_id":"9ae1c3e7-a57c-4743-97f6-877ec5f03343","resolution":{"observed_at":"2026-08-15T20:08:20.306192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.291180Z","title":"Peters, Alexander Fraser, and Jesse Dodge","venue":null,"work_id":"98ce7863-4b47-4b9a-a5b5-fbb2948e960f","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.769886Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:6faf0cc3cdb711b0f6d103b5011168304db3aa0f762c580918bea478ec240539","observation_id":"c2ec3f5f-3b6d-44eb-8e3a-4fd75d7799bb","resolution":{"observed_at":"2026-08-15T20:08:20.294933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.280458Z","title":"Exploring the benefits of training expert language models over instruction tuning","venue":null,"work_id":"5b5a7d17-a730-4335-9c8b-b588c61a75df","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.773818Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:3d25ff5e63545e6a907679d3b4283340086e49a7ad991aa919acf639dfc96a2d","observation_id":"4d54ea53-5e20-4cdc-8a90-c3eb34bdffe6","resolution":{"observed_at":"2026-08-15T20:08:20.284061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-17T00:14:01.413100Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-15T20:08:19.777614Z","title":"Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.777614Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:14d51661e9041e1b849808032efbda47b0684b0728c02efdbd605bc21a9856eb","observation_id":"100d4001-0e6b-4801-8c4a-c0a76d159cab","resolution":{"observed_at":"2026-08-15T20:08:19.777614Z","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":"2026-08-15T20:08:20.269739Z","title":"Large language models are zero-shot reasoners","venue":null,"work_id":"d9410f4d-6961-4844-b39d-4d0c84fb0dd8","year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.782802Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:74ccd4a5f64219209294d91cc412ceddf77ee923b6c155ba9a94ead1ea0197e6","observation_id":"1532daab-6d38-43c8-a6d7-2afc979904f8","resolution":{"observed_at":"2026-08-15T20:08:20.274105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.259515Z","title":"Smith, Sarah Wiegreffe, and Yanai Elazar","venue":null,"work_id":"f9701936-a056-4d10-8dc5-dc5a7762840a","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.786815Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:e50b18ed3e126f012bad252ebe59c9ec249866c2617a06ef58639bf6c319581a","observation_id":"50e4691a-b8bf-4e05-9472-d37c61774650","resolution":{"observed_at":"2026-08-15T20:08:20.263288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.791452Z","title":"Gsm-symbolic: Understanding the limitations of mathematical reasoning in large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.791452Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:8b72c38ec606fe22839809920685da1aa91275824fd3ad7173985d60b4c20b3e","observation_id":"b7377b3b-b46d-407e-ba2f-f16e8d39a7f1","resolution":{"observed_at":"2026-08-15T20:08:19.791452Z","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":"2026-08-15T20:08:19.795170Z","title":"Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.795170Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:2c641b8512f3c07535665470509c6f02ad90ee2dd77c94eb0513af85ff9ddb70","observation_id":"5c48efd0-1dcb-4a71-b6ad-2ffc99a6a9d2","resolution":{"observed_at":"2026-08-15T20:08:19.795170Z","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":"2026-08-15T20:08:19.798887Z","title":"Measuring and narrowing the compositionality gap in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.798887Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:5cf0a7bdad856ebcc84884fbb29b07d582a7fb70a31d6b01b00a941f3b87d77b","observation_id":"682010f1-407f-4587-b43b-2ad064ed47d1","resolution":{"observed_at":"2026-08-15T20:08:19.798887Z","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":"2026-08-15T20:08:20.236121Z","title":"The two-hop curse: Llms trained on a b, b c fail to learn a c, 2025","venue":null,"work_id":"ded29887-2c1b-4c57-8bda-8f61dd7030a5","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.802412Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:45d6d61401ce39f66a8c1d8bbbc432a9f72b4141fa41d63cd112a48131f16d27","observation_id":"f4d864e0-5fce-4be8-976e-1fcaa29730ea","resolution":{"observed_at":"2026-08-15T20:08:20.239743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.224348Z","title":null,"venue":null,"work_id":"35311579-b300-4e9c-971d-1c21c07e60fc","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.806609Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:b10163d3b76f7378369087f0c454937279613aac7d65a539c47e5f056f7a20d6","observation_id":"1c995144-02fc-4f8a-93c7-a19029331dc1","resolution":{"observed_at":"2026-08-15T20:08:20.227825Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.213175Z","title":"Lee, and Alberto Bietti","venue":null,"work_id":"6ade8cea-cf1a-485d-8937-c975be9759ba","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.810119Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:d0123a1f7d607ad821a80c88a51ad5359e074233a9657c7e65d7d57551f0f277","observation_id":"342748b0-8642-4995-8d66-85bd2a8006e4","resolution":{"observed_at":"2026-08-15T20:08:20.216952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.200629Z","title":"Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning","venue":null,"work_id":"65b2bf44-9ee6-4670-b618-272f91738a5d","year":2008},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.814759Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:61ec365e21ef3ff154c2f8d501a8e19888a0693af8d273498458d115072986ff","observation_id":"c7be8e5d-4ff1-428e-b9a3-cbf83b134955","resolution":{"observed_at":"2026-08-15T20:08:20.204645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2205.11716","last_updated":"2023-10-08T20:23:56Z","snapshot_observed_at":"2026-08-21T09:27:07.566289Z","submitted_at":"2022-05-24T01:38:43Z","title":"Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable","version":2},"cited_work":{"arxiv_id":"2205.11716","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.11716","snapshot_observed_at":"2026-08-15T20:08:19.970194Z","title":"Randomly Initialized One-Layer Neural Networks Make Data Linearly Separable","venue":"cs.LG","work_id":"4b282780-04fb-4649-ac5c-61fccfea3fcd","year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.818422Z"},"links":{"cited_paper":"/paper/2205.11716","citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:4fe48efb32e20d3c6a8adf5fd99e01644ab1dfff4c4487dda28d33aaefc85c80","observation_id":"ac8519a5-dd91-43f5-9365-641480a67ece","resolution":{"observed_at":"2026-08-15T20:08:19.974609Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.190418Z","title":"The separation capacity of random neural networks","venue":null,"work_id":"5553a3b2-ef02-4ce6-b843-744f43703f5a","year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.822288Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:c3a888b31c1ae3fc10352368aad04b3a6c82604f77d37ac9246dc03dac36661c","observation_id":"493a4b07-8afb-49dd-9367-58ab38750806","resolution":{"observed_at":"2026-08-15T20:08:20.193992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.179801Z","title":"Transformer feed-forward layers are key-value memories","venue":null,"work_id":"9b1cccbb-2ee6-4c12-a1ee-06b04b455b2a","year":2021},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.826019Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:07a54a778b6aebafc29f3db32ef0262f405c1c9edd1462e4d03596f9dd87740a","observation_id":"376d7d0a-6bc1-43de-b75c-d762c7a429a8","resolution":{"observed_at":"2026-08-15T20:08:20.183353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.830097Z","title":"Locating and editing factual associations in gpt","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.830097Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:b963cfef48312df5565e6e8f391a4b010b6841b0b870272c72e81d23895a3043","observation_id":"5347df05-45f4-4db0-9fea-b24c1f840cb4","resolution":{"observed_at":"2026-08-15T20:08:19.830097Z","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":"2026-08-15T20:08:20.162082Z","title":"Qwen2.5 technical report, 2025","venue":null,"work_id":"fe973899-97a4-4993-ae34-058d06bc6e6f","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.833850Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:fb7efeafc55133f3afe0a919557d42e63556d1bff66e182daae22ee9c6cd249c","observation_id":"6db2c59e-cd63-4885-911d-da463b09b88a","resolution":{"observed_at":"2026-08-15T20:08:20.165733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.151722Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025","venue":null,"work_id":"a0b23d01-3849-4668-845e-3efc38f221ba","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.837906Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:7b36f38106808beb9f8dbeec7bda254e03838dfb0a5c478a1e419c9994596e0c","observation_id":"572d3dae-4511-48bb-9883-404a6234fb53","resolution":{"observed_at":"2026-08-15T20:08:20.155487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.141382Z","title":"Dynamic cheatsheet: Test-time learning with adaptive memory, 2025","venue":null,"work_id":"9f943428-2e15-4467-9192-ea415ad0950d","year":2025},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.841531Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:10295f078100635e72c42f678f9c8ed70cb05992e9f195a4df4fdf25fd1b4e4e","observation_id":"15000c08-308f-450d-b5f5-b569b8764259","resolution":{"observed_at":"2026-08-15T20:08:20.144780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.128890Z","title":"Achieving >97","venue":null,"work_id":"48af905c-d7a9-428d-865f-915557a7e415","year":null},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.845423Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:3a3e2c19af22e93505143ea96e4736d6184e4ad6e256980591572771c22b0d1f","observation_id":"6622d296-b7d3-42a4-82af-d16186d9eab5","resolution":{"observed_at":"2026-08-15T20:08:20.132952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.114592Z","title":"Autogen: Enabling next-gen LLM applications via multi-agent conversations","venue":null,"work_id":"c8730bcf-edb0-4181-ae81-01a01d2e53b4","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.849121Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:27af02ae6331e0c7deda93fb5db94dc8b6031c7b6eb6a5d8ee5550afc574b13b","observation_id":"a9a240e0-fb4e-49c3-b2d6-19c9141c02fe","resolution":{"observed_at":"2026-08-15T20:08:20.120896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2406.12034","last_updated":"2024-10-07T14:27:56Z","snapshot_observed_at":"2026-08-19T12:19:30.024121Z","submitted_at":"2024-06-17T19:06:54Z","title":"Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12034","snapshot_observed_at":"2026-08-15T20:08:19.852711Z","title":"Self-moe: Towards compositional large language models with self-specialized experts","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.852711Z"},"links":{"cited_paper":"/paper/2406.12034","citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:6c3901626e8216846da759137a7454291d66131a2ea1f1f5d78546b628ad3aa5","observation_id":"f7f28ee9-c1e3-4b7d-a8dd-dedb1d2ba108","resolution":{"observed_at":"2026-08-15T20:08:19.852711Z","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":"2026-08-15T20:08:20.090827Z","title":"Improving lo RA in privacy-preserving federated learning","venue":null,"work_id":"e17f68d4-cf01-4011-b055-b266d7c39e59","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.856880Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:af36f008b2b791176c343eb04c4167137c99e1bbba909d5d82091d739b8337f3","observation_id":"cab3fd31-cbe0-4813-898f-603cf94d33b7","resolution":{"observed_at":"2026-08-15T20:08:20.100352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.080076Z","title":"PAL : Program-aided language models","venue":null,"work_id":"71a3985e-8349-4ea9-894e-f515ad8599b5","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.860261Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:189551b43acca7cdee7d42cb85ac023e8054b5af91ac860dc757701740371349","observation_id":"82042594-8f0c-43c7-90db-12ae04e211d7","resolution":{"observed_at":"2026-08-15T20:08:20.083852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.063509Z","title":"Continuous neural networks","venue":null,"work_id":"7c5b86c4-5f42-4490-965e-bd73ebeafd59","year":2007},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.863689Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:5217b292414bb97ff871a7a82462bca9505394bf2cd1b7220ae1315f8450ec71","observation_id":"c810bfaa-d47d-4bd9-9fd7-22fa8718cc39","resolution":{"observed_at":"2026-08-15T20:08:20.071371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.867260Z","title":"Learning theory from first principles","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.867260Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:985e6b691601685f2a78d59a044bb017f061a0b5713468a15e2cd7b42d587c16","observation_id":"26f2fac3-cf15-4e1f-8152-146c7979346f","resolution":{"observed_at":"2026-08-15T20:08:19.867260Z","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":"2026-08-15T20:08:20.040022Z","title":"Multi-head adapter routing for cross-task generalization, 2023","venue":null,"work_id":"8a8b3a55-9143-481c-b525-aa21e32968ed","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.870893Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:0c57d46d1f179f0a5d2a6f0408ec80e7bffe0a4d89cdaecf983ded5c61b97e78","observation_id":"378eec7f-cb18-45e4-a8cf-e10d2949b8f6","resolution":{"observed_at":"2026-08-15T20:08:20.047517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.024042Z","title":"Language and task arithmetic with parameter-efficient layers for zero-shot summarization, 2024","venue":null,"work_id":"02e971f5-9857-4670-81f0-e62b685de3d0","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.874150Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:97401d099e5d2a433cd9e68e5db843caeab18673a790cf85c15ce195100b28f4","observation_id":"05f1e89b-1c29-4e24-8727-e46321089c67","resolution":{"observed_at":"2026-08-15T20:08:20.028751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:20.012558Z","title":"Qwen2.5-math technical report: Toward mathematical expert model via self-improvement, 2024 b","venue":null,"work_id":"559e3dc4-4d14-49e5-9fe0-932c0484aa25","year":2024},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.877570Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:27c67cc8e45126d168950a8ee11c238dc3b9e537b6c6371cb26d1b9eb1040140","observation_id":"b66342a1-fd4a-4d6e-bf35-711a7830421a","resolution":{"observed_at":"2026-08-15T20:08:20.016568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:08:19.881170Z","title":"Training verifiers to solve math word problems, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.881170Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:3f531c3aa451ca162f61c54eb0ae509719ae83122c4fdf2c20b22706e128782e","observation_id":"25ed87c5-0406-4c45-868a-412d3a3fe1e3","resolution":{"observed_at":"2026-08-15T20:08:19.881170Z","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":"2026-08-15T20:08:19.993553Z","title":"Open llm leaderboard, 2023","venue":null,"work_id":"40d9aee4-d8b4-455a-a0bf-06cfbf7c46f6","year":2023},"citing_paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-15T20:08:19.885217Z"},"links":{"citing_paper":"/paper/2506.13479"},"observation_digest":"sha256:584d8bd842970899ad672b544fc61f6649dc950b139ddd1f723264e4d9e2e72a","observation_id":"8a669774-a9ef-4d62-b1e5-578fc4adbe4a","resolution":{"observed_at":"2026-08-15T20:08:19.997127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2506.13479","last_updated":"2025-06-16T13:35:22Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T12:19:44.601091Z","submitted_at":"2025-06-16T13:35:22Z","title":"Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":2,"verified_fuzzy":36},"total_outbound_references":52},"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 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.13479."}