{"as_of":"2026-08-10T09:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5305aebc8166a61a7e55d86925cfb4d2afcbcbaa2bb749525f47f58f276e0b29","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:01:00.056496Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-08-04T13:52:20.157155Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23099","snapshot_observed_at":"2026-08-04T13:52:20.157155Z","title":"Weight spectra induced efficient model adaptation.arXiv preprint arXiv:2505.23099, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24914","last_updated":"2026-02-02T14:53:13Z","snapshot_observed_at":"2026-08-08T13:13:46.892997Z","submitted_at":"2025-09-29T15:19:31Z","title":"Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T13:52:20.157155Z"},"links":{"cited_paper":"/paper/2505.23099","citing_paper":"/paper/2509.24914"},"observation_digest":"sha256:906f51cf7d1fabbf22539ce84bd6a537f67dc9c4c59fb5cc3b7971bb7fa2589e","observation_id":"b097c84c-8f87-4f75-843c-b778367cfc1d","resolution":{"observed_at":"2026-08-04T13:52:20.157155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.23099/citation-record","integrity":"/paper/2505.23099/integrity","json":"/paper/2505.23099/citation-record.json","paper":"/paper/2505.23099"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.13255","last_updated":"2020-12-22T07:42:30Z","snapshot_observed_at":"2026-08-08T07:37:46.709970Z","submitted_at":"2020-12-22T07:42:30Z","title":"Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.13255","snapshot_observed_at":"2026-08-07T13:00:53.609433Z","title":"Intrinsic dimensionality explains the effectiveness of language model fine-tuning","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:53.609433Z"},"links":{"cited_paper":"/paper/2012.13255","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:ce3e761a2b4f2b2d49afa72d17cd53ed3e937bc620e6befc562550ea967a22bb","observation_id":"305bed03-0915-4917-ad85-997ed049fba9","resolution":{"observed_at":"2026-08-07T13:00:53.609433Z","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":"2026-08-07T13:00:53.683562Z","title":"Llama 3 model card","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:53.683562Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:3f668f2bdff60bfae480d2bb5b86928d50c7d8b7db9788ac87f9e577798f32d4","observation_id":"1c212684-22b3-4830-8915-00ea7acd6916","resolution":{"observed_at":"2026-08-07T13:00:53.683562Z","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":"2026-08-07T13:00:53.800664Z","title":"The second pascal recognising textual entailment challenge","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:53.800664Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:c1a0af2b45976b796d79be67fa67b59bb3c65aeb46f8327315e1a5cdb128d75b","observation_id":"14bf6caa-2584-4be7-9591-807664186d1b","resolution":{"observed_at":"2026-08-07T13:00:53.800664Z","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":"2026-08-07T13:01:03.476089Z","title":"The fifth pascal recognizing textual entailment challenge","venue":null,"work_id":"60c86ebb-78be-4fc8-8bce-9f87e98cbf30","year":2009},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:53.929910Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:a73bc92cbcd15187c0e9716b54270b1ab8b50f255dde446f298097eed936757c","observation_id":"97251eaf-5dcd-4f80-98bb-9e49c28facf5","resolution":{"observed_at":"2026-08-07T13:01:03.569016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09673","last_updated":"2024-09-20T21:21:56Z","snapshot_observed_at":"2026-08-04T07:20:49.662052Z","submitted_at":"2024-05-15T19:27:45Z","title":"LoRA Learns Less and Forgets Less","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09673","snapshot_observed_at":"2026-08-07T13:00:54.044434Z","title":"Lora learns less and forgets less","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.044434Z"},"links":{"cited_paper":"/paper/2405.09673","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:e1166564adbb4667ad66c4fd68872f10c245061656b77728314144fcfa1f9a84","observation_id":"f39f8234-2171-4e98-94b7-cc38e0e439f0","resolution":{"observed_at":"2026-08-07T13:00:54.044434Z","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":"2026-08-07T13:00:54.210767Z","title":"Piqa: Reasoning about phys- ical commonsense in natural language","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.210767Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:cd52b75c337a3c7b39d36b778711753b41bb676358286fa837724b7b3bc8a168","observation_id":"49ac1c07-641b-4bda-8ac2-e67931dd022f","resolution":{"observed_at":"2026-08-07T13:00:54.210767Z","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":"2026-08-07T13:00:54.336505Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.336505Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:fedf06226db50b556eb9ee3ca4f6d0ea5119bdda4447da6caeb09bfcd429bc9d","observation_id":"3b992f5c-7781-4afe-a516-78021128cc0c","resolution":{"observed_at":"2026-08-07T13:00:54.336505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00055","last_updated":"2017-07-31T20:12:06Z","snapshot_observed_at":"2026-08-04T03:50:51.013049Z","submitted_at":"2017-07-31T20:12:06Z","title":"SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.00055","snapshot_observed_at":"2026-08-07T13:00:54.463627Z","title":"Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.463627Z"},"links":{"cited_paper":"/paper/1708.00055","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:cb0501c519ee787a8f5b3c9d8bd36de57ae3d75a2c5d0428b0ddd204796eb5d9","observation_id":"2d573e66-ea58-4869-b13e-fc106895c5f4","resolution":{"observed_at":"2026-08-07T13:00:54.463627Z","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":"2026-08-07T13:01:03.201210Z","title":"Adaptformer: Adapting vision transformers for scalable visual recognition","venue":null,"work_id":"3fc5b2b2-60ef-460c-b78f-939a11bfd550","year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.596651Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:b21783250dc536508254beb44dc080f3776f28d1af768d112a6c8340a509fa47","observation_id":"51b28710-09a9-41b2-9113-8cd6bd36caac","resolution":{"observed_at":"2026-08-07T13:01:03.313744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10044","last_updated":"2019-05-24T05:48:49Z","snapshot_observed_at":"2026-07-06T07:55:12.121264Z","submitted_at":"2019-05-24T05:48:49Z","title":"BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10044","snapshot_observed_at":"2026-08-07T13:00:54.722664Z","title":"Boolq: Exploring the surprising difficulty of natural yes/no questions","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.722664Z"},"links":{"cited_paper":"/paper/1905.10044","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:0d9a563cecab97a59cdacc9b7921a422def2d79b4f85279cb3da73d64c822e81","observation_id":"8682ea6c-1d9f-4fe5-81e1-e5185292439a","resolution":{"observed_at":"2026-08-07T13:00:54.722664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-08-07T13:00:54.907311Z","title":"Think you have solved question answering? try arc, the ai2 reasoning challenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.907311Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:40c5d2aa510801794a410aa7f25d4ceee8a99c169d5839dce61448b1d8233d31","observation_id":"44166c2b-6f67-4c34-8853-e3c0c6ebeb2d","resolution":{"observed_at":"2026-08-07T13:00:54.907311Z","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":"2026-08-07T13:01:02.967183Z","title":"Gradient descent on neural networks typically occurs at the edge of stability","venue":null,"work_id":"65da2e46-ce85-4fed-a633-2b411d23e4ed","year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:54.996601Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:d9f783d25273f61b787c700dd29808de9828f52238ff4ccea130973e8b6d60cd","observation_id":"b4154f12-7be8-428b-9fe1-c5ec1014dc7e","resolution":{"observed_at":"2026-08-07T13:01:03.075745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:01:02.659608Z","title":"The pascal recognising textual entailment challenge","venue":null,"work_id":"385cb251-d7b1-4778-b0f4-0594ab46a2cd","year":2005},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.166365Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:6b9d60617a2b181fbec05e62cc51e7eea6e79adaa7fa7b73a812c3cc49462052","observation_id":"13c7254d-78a9-458a-821b-002975158c51","resolution":{"observed_at":"2026-08-07T13:01:02.794080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T13:00:55.334059Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.334059Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:55031b5618a7ce376b964b63667d790d06a786d6d679128f17ef19968092f731","observation_id":"dff1377e-adbf-481d-9f3b-e424559fc59c","resolution":{"observed_at":"2026-08-07T13:00:55.334059Z","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":"2026-08-07T13:00:55.467739Z","title":"Automatically constructing a corpus of sentential paraphrases","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.467739Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:32ece01f94519694f8a271bbc861d4369649e0a4da82b4b8dc6571ae786f71c3","observation_id":"08869c72-b951-4fe6-93cd-17426da3dbf1","resolution":{"observed_at":"2026-08-07T13:00:55.467739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T13:00:55.594322Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.594322Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:3537bb3d2cee92a2d036645e44d88b526a0617b5e489630f25a730b05e5563f4","observation_id":"8b0c9a4e-20a9-4293-a26d-b6220252190c","resolution":{"observed_at":"2026-08-07T13:00:55.594322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11236","last_updated":"2024-06-13T04:42:23Z","snapshot_observed_at":"2026-08-09T04:46:20.751858Z","submitted_at":"2024-05-18T09:29:00Z","title":"TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11236","snapshot_observed_at":"2026-08-07T13:00:55.772359Z","title":"Trilora: Integrating svd for advanced style personalization in text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.772359Z"},"links":{"cited_paper":"/paper/2405.11236","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:99b9e0baf0c176f260d5b445c56f3c45fb3592c9fed99d2f97a439b4af9b64af","observation_id":"77c8a729-a966-499e-8977-e3f020a27489","resolution":{"observed_at":"2026-08-07T13:00:55.772359Z","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":"2026-08-07T13:01:02.463102Z","title":"The third pascal recognizing textual entailment challenge","venue":null,"work_id":"e37ef8bb-343c-46ba-9a5b-9eecd3325d69","year":2007},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:55.909813Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:2f897014d15d815f0cf485a3357aa450b315965dc1122225b37d136dd3706042","observation_id":"9e883207-6a0e-4adb-b4c4-38bbfc7faef3","resolution":{"observed_at":"2026-08-07T13:01:02.537439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04366","last_updated":"2022-02-02T16:39:23Z","snapshot_observed_at":"2026-08-09T04:45:04.547249Z","submitted_at":"2021-10-08T20:22:26Z","title":"Towards a Unified View of Parameter-Efficient Transfer Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.04366","snapshot_observed_at":"2026-08-07T13:00:56.015611Z","title":"To- wards a unified view of parameter-efficient transfer learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.015611Z"},"links":{"cited_paper":"/paper/2110.04366","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:2424b49f3e2b187b6e6c1ff315090fdc2441b679483238960dedcc495c9044df","observation_id":"1f589c69-b7f8-4efc-9ca3-48c8b3ef05af","resolution":{"observed_at":"2026-08-07T13:00:56.015611Z","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":"2026-08-07T13:00:56.134909Z","title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.134909Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:021016345f6df19370e278d1015778e66b8e5257cd5aaaf14d55fad04f5da15b","observation_id":"ea6902a4-0ee4-4a76-936f-3b3b1ade5acc","resolution":{"observed_at":"2026-08-07T13:00:56.134909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09543","last_updated":"2023-03-24T09:17:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-18T06:48:00Z","title":"DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09543","snapshot_observed_at":"2026-08-07T13:00:56.257843Z","title":"Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.257843Z"},"links":{"cited_paper":"/paper/2111.09543","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:1b6a067bf5f4663b15efa3dabc5f672b788ab708f52ed9259317dd379c4aa72a","observation_id":"c06152b8-0e2c-468e-8fa6-b46fa1062c29","resolution":{"observed_at":"2026-08-07T13:00:56.257843Z","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":"2026-08-07T13:00:56.405150Z","title":"Parameter-efficient transfer learning for nlp","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.405150Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:0dbfae2f56b374a5709ef507289aca697d6811134c24ddcbfe50a183a30a628f","observation_id":"13af81a5-a00d-4b22-8cd5-d1261095af1e","resolution":{"observed_at":"2026-08-07T13:00:56.405150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","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":"2026-08-07T13:00:56.522497Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.522497Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:063dbbe4166f3891446a813a331ddebbcaf5fbafcdf2c1fbfef298cebd583a9f","observation_id":"33f8cce6-5f04-4bec-b61d-930a00389a96","resolution":{"observed_at":"2026-08-07T13:00:56.522497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01933","last_updated":"2023-10-09T15:38:46Z","snapshot_observed_at":"2026-08-09T04:45:14.956800Z","submitted_at":"2023-04-04T16:31:37Z","title":"LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01933","snapshot_observed_at":"2026-08-07T13:00:56.612340Z","title":"Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.612340Z"},"links":{"cited_paper":"/paper/2304.01933","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:14ff874bee276cef27cda24f8c712dd02f1db0deafbf58ecd8482451ece8a4d3","observation_id":"f727cbfb-0c03-4bfd-bc3b-c7b2ede625ac","resolution":{"observed_at":"2026-08-07T13:00:56.612340Z","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":"2026-08-07T13:00:56.725463Z","title":"Visual prompt tuning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.725463Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:fffeab37e322bd05638abe067fbd74768907ec5b0e21190a067b7f20fc9b888e","observation_id":"50900587-1ee4-47dc-a484-b56d54e14290","resolution":{"observed_at":"2026-08-07T13:00:56.725463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07039","last_updated":"2022-08-09T10:40:06Z","snapshot_observed_at":"2026-08-09T04:45:09.129535Z","submitted_at":"2022-07-14T16:32:28Z","title":"Convolutional Bypasses Are Better Vision Transformer Adapters","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07039","snapshot_observed_at":"2026-08-07T13:00:56.874725Z","title":"Convolutional bypasses are better vision transformer adapters","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.874725Z"},"links":{"cited_paper":"/paper/2207.07039","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:bc3b27bb330e722c4b90a3fc7e4c40cf7df6aa2bd02936d9d0a1cde63ac10ec1","observation_id":"5e18d49c-8957-4489-afbf-810c37012e44","resolution":{"observed_at":"2026-08-07T13:00:56.874725Z","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":"2026-08-07T13:01:02.215606Z","title":"Fact: Factor-tuning for lightweight adaptation on vision transformer","venue":null,"work_id":"401e92ae-e4dd-408f-9614-ae01e1c2bd03","year":2023},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:56.972367Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:d03392ec8728da8ec613cbe760bb5dee1a0665b956522747673a9968c001a404","observation_id":"4c2cb470-c5aa-47b3-80e9-380a165ba596","resolution":{"observed_at":"2026-08-07T13:01:02.308068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:57.041034Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.041034Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:af1f550eb1c36eaa69f7a525568934777850ede768a2d0e2d68ed14f64792ab3","observation_id":"65548744-7447-4eed-b34b-b436cfe0970c","resolution":{"observed_at":"2026-08-07T13:00:57.041034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00190","last_updated":"2021-01-01T08:00:36Z","snapshot_observed_at":"2026-07-06T10:29:18.734092Z","submitted_at":"2021-01-01T08:00:36Z","title":"Prefix-Tuning: Optimizing Continuous Prompts for Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00190","snapshot_observed_at":"2026-08-07T13:00:57.144941Z","title":"Prefix-tuning: Optimizing continuous prompts for generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.144941Z"},"links":{"cited_paper":"/paper/2101.00190","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:576e5ddac2d83669fd50bb41ffe073bb61e5f2025cddb39394108afd3013f242","observation_id":"b48d1eca-31d5-4fed-9376-334bd4e798a3","resolution":{"observed_at":"2026-08-07T13:00:57.144941Z","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":"2026-08-07T13:00:57.189804Z","title":"Scaling & shifting your features: A new baseline for efficient model tuning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.189804Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:74137bf44128ba93372e1c6cb54b347586415afa5ace59e0629ac05fdda019d2","observation_id":"554cb068-2008-40b6-9bf8-e5927957de49","resolution":{"observed_at":"2026-08-07T13:00:57.189804Z","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":"2026-08-07T13:00:57.270110Z","title":"Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.270110Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:da2cbbb07e8ca4caecb1bda8d04d6172aab99ba0b9cbe9ee7936618bc0680e00","observation_id":"ded2e29d-6b8c-4089-8b0f-0c27104b15f2","resolution":{"observed_at":"2026-08-07T13:00:57.270110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09353","last_updated":"2024-07-09T05:59:16Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-14T17:59:34Z","title":"DoRA: Weight-Decomposed Low-Rank Adaptation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09353","snapshot_observed_at":"2026-08-07T13:00:57.434582Z","title":"Dora: Weight-decomposed low-rank adaptation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.434582Z"},"links":{"cited_paper":"/paper/2402.09353","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:f06de7023ce7437529c79b09979b1482ad3240d91b2a2ce5045fd02d9ac6ce7b","observation_id":"173f8707-33d4-4743-be41-a2587cd465f4","resolution":{"observed_at":"2026-08-07T13:00:57.434582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-07T13:00:57.583699Z","title":"Roberta: A robustly optimized bert pretraining approach","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.583699Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:2c39712c3f1b2d99a97be461b353f1eb79487c1f169a60a4e4cbfe76d551b318","observation_id":"d5293637-1f34-48df-a09d-d345fb94cbab","resolution":{"observed_at":"2026-08-07T13:00:57.583699Z","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":"2026-08-07T13:00:57.718785Z","title":"Segment anything in medical images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.718785Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:b891f67d0541a9802412236671dcccd8f310353f85e543a8f97d2e363b822b1f","observation_id":"c77ff6bd-f605-421c-a441-e9e84b483bb1","resolution":{"observed_at":"2026-08-07T13:00:57.718785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02948","last_updated":"2025-04-09T06:54:20Z","snapshot_observed_at":"2026-08-09T04:47:57.368711Z","submitted_at":"2024-04-03T15:06:43Z","title":"PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02948","snapshot_observed_at":"2026-08-07T13:00:57.843565Z","title":"Pissa: Principal singular values and singular vectors adaptation of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.843565Z"},"links":{"cited_paper":"/paper/2404.02948","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:c806437815dcc8ab03c3e48f847530c4d13ebc19851325faf99898b8a6c0c35f","observation_id":"c73a5483-c489-47b6-b5ae-2048df21cd4d","resolution":{"observed_at":"2026-08-07T13:00:57.843565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02789","last_updated":"2018-09-08T11:47:16Z","snapshot_observed_at":"2026-08-08T02:19:52.596062Z","submitted_at":"2018-09-08T11:47:16Z","title":"Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02789","snapshot_observed_at":"2026-08-07T13:00:57.986379Z","title":"Can a suit of armor conduct electricity? a new dataset for open book question answering","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:57.986379Z"},"links":{"cited_paper":"/paper/1809.02789","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:1e26bf6b4c3a46a41f3348f2113d01521d5a56fce18aac1dc4bd6f892970c0eb","observation_id":"d7c911e7-018f-4e38-8645-0e9e27b73963","resolution":{"observed_at":"2026-08-07T13:00:57.986379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00247","last_updated":"2021-01-26T12:54:33Z","snapshot_observed_at":"2026-08-09T18:48:57.194984Z","submitted_at":"2020-05-01T07:03:42Z","title":"AdapterFusion: Non-Destructive Task Composition for Transfer Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00247","snapshot_observed_at":"2026-08-07T13:00:58.094289Z","title":"Adapterfusion: Non-destructive task composition for transfer learning","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.094289Z"},"links":{"cited_paper":"/paper/2005.00247","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:8c110a0e1085295d9c0f8d2b65c08ea04a362798d1540399cc77cbbc59e3f646","observation_id":"8f72374a-8b97-4323-8259-b364c27e8f85","resolution":{"observed_at":"2026-08-07T13:00:58.094289Z","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":"2026-08-07T13:01:01.895730Z","title":"Pre-trained models for natural language processing: A survey","venue":null,"work_id":"9c522b97-cc55-4274-a966-a084450532a8","year":2020},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.199351Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:c9a61da1a901d60c94855d5d36ed22e1f7f68ab0d7317d2d13b7172c062e46c6","observation_id":"4d590e69-193d-4379-bd83-00733ce61cb9","resolution":{"observed_at":"2026-08-07T13:01:02.041865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:58.324310Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.324310Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:64ff9179e2aab8ef7dc11f09eab0b43728316a43cb126e296f1bb7ffd9cbab3a","observation_id":"e4df5c3f-bdea-421b-8336-08afb11ae8e6","resolution":{"observed_at":"2026-08-07T13:00:58.324310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05250","last_updated":"2016-10-11T02:42:36Z","snapshot_observed_at":"2026-08-08T11:05:45.903773Z","submitted_at":"2016-06-16T16:36:00Z","title":"SQuAD: 100,000+ Questions for Machine Comprehension of Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05250","snapshot_observed_at":"2026-08-07T13:00:58.429167Z","title":"Squad: 100,000+ questions for machine comprehension of text","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.429167Z"},"links":{"cited_paper":"/paper/1606.05250","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:545a0fbcefc266c8aa54d72d97d1488e19f38265ec3ed8e5e01f875d589b1c9f","observation_id":"9a3a8015-bd34-4abb-bf8d-dc39c4942ce0","resolution":{"observed_at":"2026-08-07T13:00:58.429167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03937","last_updated":"2023-05-06T05:35:14Z","snapshot_observed_at":"2026-08-09T04:45:05.121936Z","submitted_at":"2023-05-06T05:35:14Z","title":"Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03937","snapshot_observed_at":"2026-08-07T13:00:58.541216Z","title":"Residual prompt tuning: Improving prompt tuning with residual reparameterization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.541216Z"},"links":{"cited_paper":"/paper/2305.03937","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:679b09a6e65a697dac999f82b4f4a23c0a7add5f0b1ebd87411d21aeb855afa8","observation_id":"333e83ac-aa12-489c-828e-d65f023f324d","resolution":{"observed_at":"2026-08-07T13:00:58.541216Z","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":"2026-08-07T13:01:01.642369Z","title":"Effective rank: A measure of effective dimensionality.European Signal Processing Conference, 2007","venue":null,"work_id":"17d50d58-9101-472f-9fd5-2e9f395cbc4e","year":2007},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.659779Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:db40ab7cb6a4a9d31343f316b82360b8f35c02e9d71d31b9f1a9daf2b962b098","observation_id":"b65f7aaf-e82e-40ed-bff4-04f164bf9455","resolution":{"observed_at":"2026-08-07T13:01:01.725226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:00:58.753713Z","title":"Winogrande: An adversarial winograd schema challenge at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.753713Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:07d9dba868c5eb01a766a19e76f478f3d3c52647ee2efc51e24202e20b71936e","observation_id":"3e0a00f8-8927-43bf-9c31-1750bfe6e8e8","resolution":{"observed_at":"2026-08-07T13:00:58.753713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09728","last_updated":"2019-09-09T17:29:55Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-04-22T05:36:37Z","title":"SocialIQA: Commonsense Reasoning about Social Interactions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09728","snapshot_observed_at":"2026-08-07T13:00:58.860443Z","title":"Socialiqa: Com- monsense reasoning about social interactions","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.860443Z"},"links":{"cited_paper":"/paper/1904.09728","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:c67f47dc8cd5ee3e3a39c469f7dc9cc5adc244060700ca4c11cf73910d3a458d","observation_id":"ae3429f5-ebfc-4bb2-9eee-7818de081d2e","resolution":{"observed_at":"2026-08-07T13:00:58.860443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05173","last_updated":"2024-02-18T10:02:23Z","snapshot_observed_at":"2026-08-09T04:45:20.730029Z","submitted_at":"2023-09-11T00:02:05Z","title":"DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05173","snapshot_observed_at":"2026-08-07T13:00:58.954288Z","title":"Dept: Decomposed prompt tuning for parameter-efficient fine-tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:58.954288Z"},"links":{"cited_paper":"/paper/2309.05173","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:b650b425a12bcd594ffd7fdd488ee46c04a2f885d08ad1c19820c91df4d70b8e","observation_id":"1fa2f61b-16e6-44a2-8812-ac5a585a9477","resolution":{"observed_at":"2026-08-07T13:00:58.954288Z","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":"2409.01035","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:01:00.509739Z","title":"Unleashing the power of task-specific directions in parameter efficient fine-tuning","venue":null,"work_id":"5f43a2dd-8126-494c-9e82-af5a5f0def08","year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.026756Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:f9f5c9ff5aa7ce8703c8b6f5f66cfbf3fee45978f90c32c31ae48bf8eaef13f6","observation_id":"953d0cb6-256f-44d3-9681-546e0c862d55","resolution":{"observed_at":"2026-08-07T13:01:00.556606Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14739","last_updated":"2025-02-06T05:57:37Z","snapshot_observed_at":"2026-08-09T04:45:11.794702Z","submitted_at":"2024-05-23T16:04:42Z","title":"Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14739","snapshot_observed_at":"2026-08-07T13:00:59.093443Z","title":"Flora: Low-rank core space for n-dimension","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.093443Z"},"links":{"cited_paper":"/paper/2405.14739","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:04e0e2142c1628b2695796558c00a76156af0a82d7bd09e7617861730b657b95","observation_id":"25722ac5-966c-43c9-9b7a-0583f00878dc","resolution":{"observed_at":"2026-08-07T13:00:59.093443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.05417","last_updated":"2024-12-25T11:55:30Z","snapshot_observed_at":"2026-08-08T15:11:45.809678Z","submitted_at":"2024-07-07T15:44:42Z","title":"See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.05417","snapshot_observed_at":"2026-08-07T13:00:59.174439Z","title":"See further for parameter efficient fine-tuning by standing on the shoulders of decomposition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.174439Z"},"links":{"cited_paper":"/paper/2407.05417","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:1305efbcc6d2dd118a34f7d7d67ba597c1e7316ded8c77a3ce9c12d46c21fda9","observation_id":"0f06ad9d-f661-4e6e-8519-a62c7115978c","resolution":{"observed_at":"2026-08-07T13:00:59.174439Z","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":"2026-08-07T13:00:59.269435Z","title":"Recursive deep models for semantic compositionality over a sentiment treebank","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.269435Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:2efc144d5febf3dde444e6c14f725a366b6ff3b476e841eca5025fcdbcb431c6","observation_id":"69cd46d7-3432-44ec-8eef-d74433abca6e","resolution":{"observed_at":"2026-08-07T13:00:59.269435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07461","last_updated":"2019-02-22T23:53:34Z","snapshot_observed_at":"2026-07-06T06:34:26.609892Z","submitted_at":"2018-04-20T06:35:04Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07461","snapshot_observed_at":"2026-08-07T13:00:59.361575Z","title":"Glue: A multi-task benchmark and analysis platform for natural language understanding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.361575Z"},"links":{"cited_paper":"/paper/1804.07461","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:325af1f6f36e026ae7682f084513f0476fd09495c6b12ee9d74567f64a078a56","observation_id":"ea6613cd-35b9-4c2d-bd21-b5dce04ff9c8","resolution":{"observed_at":"2026-08-07T13:00:59.361575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09044","last_updated":"2025-03-02T04:45:56Z","snapshot_observed_at":"2026-08-10T07:04:38.966271Z","submitted_at":"2024-06-13T12:30:02Z","title":"MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09044","snapshot_observed_at":"2026-08-07T13:00:59.481232Z","title":"Milora: Harnessing minor singular components for parameter-efficient llm finetuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.481232Z"},"links":{"cited_paper":"/paper/2406.09044","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:a02cd728f6f82049995bafcfcc4821b0e3c3bdbca24dc27bc6faa6ccfcb5b73f","observation_id":"e8ff4a90-f7a2-4c19-bf39-ce188bfc7599","resolution":{"observed_at":"2026-08-07T13:00:59.481232Z","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":"2026-08-07T13:01:01.370668Z","title":"Neural network acceptability judgments","venue":null,"work_id":"c1e8f292-bd97-4fe5-899a-c5ff40ff7487","year":2019},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.591353Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:d3df8db54a6511fcd5e35083a789266f3882d8e4ced1a6f2fc713cefe7ef154c","observation_id":"97ab1403-a66e-4425-b07c-8b59f964d622","resolution":{"observed_at":"2026-08-07T13:01:01.482899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.05426","last_updated":"2018-02-19T19:19:51Z","snapshot_observed_at":"2026-08-08T22:26:58.590242Z","submitted_at":"2017-04-18T17:10:13Z","title":"A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.05426","snapshot_observed_at":"2026-08-07T13:00:59.678532Z","title":"A broad-coverage challenge corpus for sentence understanding through inference","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.678532Z"},"links":{"cited_paper":"/paper/1704.05426","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:3824a3a00c537db533467b32c2ca388974d8a923172739aa2fbff85d63116553","observation_id":"e9504fb8-fd85-451c-ad0f-cf27775fbc3d","resolution":{"observed_at":"2026-08-07T13:00:59.678532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11909","last_updated":"2025-03-02T08:40:16Z","snapshot_observed_at":"2026-08-09T04:46:23.051166Z","submitted_at":"2024-06-16T14:19:49Z","title":"Mixture-of-Subspaces in Low-Rank Adaptation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11909","snapshot_observed_at":"2026-08-07T13:00:59.745103Z","title":"Mixture-of-subspaces in low-rank adaptation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.745103Z"},"links":{"cited_paper":"/paper/2406.11909","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:55adcead069c548ecc6b05099131679311780eb0553d4dde4bbfebaa619c96d7","observation_id":"364c283f-668c-4285-ad22-548d766e5ad5","resolution":{"observed_at":"2026-08-07T13:00:59.745103Z","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":"2026-08-07T13:00:59.802815Z","title":"Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.802815Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:bc6ee06dc5204ddf0b75c744916cee97d052c4a852130e705bd01e3c20553825","observation_id":"4b708432-3bc7-42fc-8d27-3a9c450ba567","resolution":{"observed_at":"2026-08-07T13:00:59.802815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.07830","last_updated":"2019-05-19T23:57:23Z","snapshot_observed_at":"2026-07-31T00:09:56.948833Z","submitted_at":"2019-05-19T23:57:23Z","title":"HellaSwag: Can a Machine Really Finish Your Sentence?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.07830","snapshot_observed_at":"2026-08-07T13:00:59.857998Z","title":"Hellaswag: Can a machine really finish your sentence? arXiv preprint arXiv:1905.07830, 2019","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.857998Z"},"links":{"cited_paper":"/paper/1905.07830","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:5db36f0860a36280fecdf6528082df06936192043f55a609ecb9a53dfb53cd30","observation_id":"4cfaf548-e2df-4a07-954f-12825c6a8701","resolution":{"observed_at":"2026-08-07T13:00:59.857998Z","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":"2026-08-07T13:01:01.168191Z","title":"The visual task adaptation benchmark","venue":null,"work_id":"b079100f-9815-4111-b1fc-a408b903cf92","year":2019},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.933703Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:849411c64d847424a8478d871d1b56f21b2f311199743998ad9ef42707486aef","observation_id":"9feebf33-330a-47e7-a90a-7922f8198ef1","resolution":{"observed_at":"2026-08-07T13:01:01.278985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:01:01.013087Z","title":"Adaptive budget allocation for parameter-efficient fine-tuning","venue":null,"work_id":"62396649-1d90-42de-aa4c-70693f5e0d9d","year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:59.992953Z"},"links":{"citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:45df0856b287d01fca3eb67840d6dbef5b97db78c1047589913f8a868b5a8412","observation_id":"04032715-1dd2-4280-86cf-115043896de3","resolution":{"observed_at":"2026-08-07T13:01:01.086567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04673","last_updated":"2022-06-14T12:15:55Z","snapshot_observed_at":"2026-08-09T04:45:05.706921Z","submitted_at":"2022-06-09T17:59:58Z","title":"Neural Prompt Search","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04673","snapshot_observed_at":"2026-08-07T13:01:00.056496Z","title":"Neural prompt search","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T13:01:00.056496Z"},"links":{"cited_paper":"/paper/2206.04673","citing_paper":"/paper/2505.23099"},"observation_digest":"sha256:cc47549789ed6ad6bc9947328b62d57383becf54cd096ed20ddecbe85f7443c9","observation_id":"89153dbf-0254-4433-a624-19d90d51a5b2","resolution":{"observed_at":"2026-08-07T13:01:00.056496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.23099","last_updated":"2025-05-29T05:03:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T04:44:57.679864Z","submitted_at":"2025-05-29T05:03:29Z","title":"Weight Spectra Induced Efficient Model Adaptation"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":1,"verified_fuzzy":11},"total_outbound_references":59},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2505.23099."}