{"as_of":"2026-08-18T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4a2225b4f23b8e88a062907e0ad4e72720f5bc9ca0b1f5b99395d17adabf5c0","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:13:25.245669Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T06:39:15.694127Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T17:58:47.632268Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"cited_work":{"arxiv_id":"2501.09284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09284","snapshot_observed_at":"2026-07-03T17:58:47.632268Z","title":"Seal: Entangled white-box watermarks on low-rank adaptation.arXiv preprint arXiv:2501.09284, 2025","venue":null,"work_id":"a0195f0d-f06a-48de-b486-f194854f059a","year":2025},"citing_paper":{"arxiv_id":"2605.29569","last_updated":"2026-06-07T04:09:10Z","snapshot_observed_at":"2026-08-17T21:49:05.959192Z","submitted_at":"2026-05-28T08:17:28Z","title":"LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-29T06:39:15.694127Z"},"links":{"cited_paper":"/paper/2501.09284","citing_paper":"/paper/2605.29569"},"observation_digest":"sha256:8467e59b0736e359f5b8ccc3ceceecc805dd8538df1738958b9581f8100a0996","observation_id":"0fbd7971-ea90-460e-84db-5f650cbb282e","resolution":{"observed_at":"2026-06-29T14:33:31.003062Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"cited_work":{"arxiv_id":"2501.09284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09284","snapshot_observed_at":"2026-07-03T17:58:47.632268Z","title":"Seal: Entangled white-box watermarks on low-rank adaptation.arXiv preprint arXiv:2501.09284, 2025","venue":null,"work_id":"a0195f0d-f06a-48de-b486-f194854f059a","year":2025},"citing_paper":{"arxiv_id":"2606.17122","last_updated":"2026-06-15T12:46:31Z","snapshot_observed_at":"2026-08-07T05:13:09.827704Z","submitted_at":"2026-06-15T12:46:31Z","title":"TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T03:25:36.082982Z"},"links":{"cited_paper":"/paper/2501.09284","citing_paper":"/paper/2606.17122"},"observation_digest":"sha256:623c227367db5ee8dc90ca0167c0aaa28768ca85713698a916c43dc01e1e1ecb","observation_id":"805d9652-e750-4fc3-8735-608e173c807f","resolution":{"observed_at":"2026-07-03T17:58:47.633743Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.09284/citation-record","integrity":"/paper/2501.09284/integrity","json":"/paper/2501.09284/citation-record.json","paper":"/paper/2501.09284"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:13:25.015827Z","title":"Llama 3 model card","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.015827Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:f2f25d6904f7dc939ce9bd91aa7a18082b803a922c08e0662e298ca87dbdafe5","observation_id":"412731f0-7700-45ed-8532-5f99f42f968a","resolution":{"observed_at":"2026-08-10T20:13:25.015827Z","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":"2026-08-10T20:13:25.019627Z","title":"Piqa: Reasoning about physical commonsense in natural language","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.019627Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:7bca9c7d3ef69b6c1fdbc71834f07ad7d2ddbfd96bcbe4944bdbbb3bc368909a","observation_id":"a2497394-23d3-4828-a237-ca9692372d07","resolution":{"observed_at":"2026-08-10T20:13:25.019627Z","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":"2026-08-10T20:13:25.022946Z","title":"Emerging properties in self-supervised vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.022946Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:607bf589f2106b33f803cbcb7c5808335f8170ae14fbb930eaba24725599e76e","observation_id":"d0864511-8b53-48ad-bf1c-789b54267875","resolution":{"observed_at":"2026-08-10T20:13:25.022946Z","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":"3210.34530","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:13:25.643284Z","title":"Refit: A unified watermark removal framework for deep learning systems with limited data","venue":null,"work_id":"52124dbe-d7d3-4540-9892-c6c2eba8a89a","year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.026879Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:116ba807101d85e5ec7044c16e4d4e36696c4bfd7c094ee25840beb41bf779c9","observation_id":"fce9d038-9b06-482d-8d80-f7d72559469d","resolution":{"observed_at":"2026-08-10T20:13:25.649605Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.961903Z","title":"Effective ambiguity attack against passport-based dnn intellectual property protection schemes through fully connected layer substitution","venue":null,"work_id":"44424aca-3b8b-4dde-8db3-569f9fe05aa1","year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.030485Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:cb35fb2a1471712e14a3256ceac9a931c47eee8a58cb7f04aa6dbd54bb21e3b4","observation_id":"98da63aa-9812-47ec-a220-fd48e593b7eb","resolution":{"observed_at":"2026-08-10T20:13:25.966058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10044","last_updated":"2019-05-24T05:48:49Z","snapshot_observed_at":"2026-08-17T14:44:42.060038Z","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":"2026-08-10T20:13:25.034364Z","title":"Boolq: Exploring the surprising difficulty of natural yes/no questions","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.034364Z"},"links":{"cited_paper":"/paper/1905.10044","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:38038c396065cb18dbcaf606c692275f4b7638bc45c2fdfde3100f3f3ff053bf","observation_id":"0b8e954e-d593-48ab-8749-ad5e53260f8b","resolution":{"observed_at":"2026-08-10T20:13:25.034364Z","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":"2026-08-14T19:36:07.505691Z","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":"2026-08-10T20:13:25.038615Z","title":"Think you have solved question answering? try arc, the ai2 reasoning challenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.038615Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:e7a5d41937f5a8ac6bfbedd871369a90d48cbfe8277d51aa7ef4d307a4517d3f","observation_id":"ef1583eb-03d6-4294-865e-1d6e032bde67","resolution":{"observed_at":"2026-08-10T20:13:25.038615Z","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":"2026-08-10T20:13:25.951254Z","title":"Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks","venue":null,"work_id":"156fa0e6-08aa-4a7e-b2d8-cf4552a12ce4","year":2019},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.041863Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:c0bbf7ac02adae32d641a56d86cf2ef70f8633d011250879eef0867b3750273b","observation_id":"967436c3-2f20-458c-b9bb-99ff21f4cd25","resolution":{"observed_at":"2026-08-10T20:13:25.954694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.044970Z","title":"Qlora: Efficient finetuning of quantized llms","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.044970Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:4f1fd04769e0438047120cac6431876b109180f87f7f281df370dad1e2093b0c","observation_id":"ee771094-f546-4c5f-bdcf-0be15bb760bc","resolution":{"observed_at":"2026-08-10T20:13:25.044970Z","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":"2026-08-10T20:13:25.048192Z","title":"Parameter-efficient fine-tuning of large-scale pre-trained language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.048192Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:9f8234c4acfbbac9865098981441c2cb2525c30e6aa1856cc10f89ad19676f4f","observation_id":"47d9266b-16d1-4f37-becc-21c49edc2583","resolution":{"observed_at":"2026-08-10T20:13:25.048192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10650","last_updated":"2022-12-20T20:56:52Z","snapshot_observed_at":"2026-08-16T16:07:08.411105Z","submitted_at":"2022-12-20T20:56:52Z","title":"KronA: Parameter Efficient Tuning with Kronecker Adapter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10650","snapshot_observed_at":"2026-08-10T20:13:25.051378Z","title":"P., Clark, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.051378Z"},"links":{"cited_paper":"/paper/2212.10650","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:70ff10deded13bc3eb86580374dc1a1aae61db204758e7096a896a8ac6c848bb","observation_id":"afd66192-55a9-4c90-acb8-14c9d27d9766","resolution":{"observed_at":"2026-08-10T20:13:25.051378Z","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":"2026-08-10T20:13:25.929376Z","title":"W., and Chan, C","venue":null,"work_id":"caeb3ab3-ccdf-4b21-b5b0-963b1963a30c","year":2019},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.054967Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:7e9c2fd0dda15470b34429aa1d154d26f3a810004daaad44833a695231db0527","observation_id":"c63459fe-c5f0-4747-ad78-2e29c61436d4","resolution":{"observed_at":"2026-08-10T20:13:25.933177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.919218Z","title":"Aqualora: Toward white-box protection for customized stable diffusion models via watermark lora","venue":null,"work_id":"a87947ca-3c4b-49e2-b19a-77605feb879f","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.058342Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:ffafdae197320ea54b3886299f3f05479c06e70cb1b120502469b476d37f5c91","observation_id":"1f1dd317-43be-49fd-a3a2-302040b86109","resolution":{"observed_at":"2026-08-10T20:13:25.923014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.908792Z","title":"The stable signature: Rooting watermarks in latent diffusion models","venue":null,"work_id":"86505630-6b7a-41f7-9654-011ad5b2e178","year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.061525Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:e3b3a3af99fe9527592291ab236efd702487852beb2d4e235987d1b75b8e24a5","observation_id":"8704be61-d830-4151-8d57-1cc64444b350","resolution":{"observed_at":"2026-08-10T20:13:25.912971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.898749Z","title":"Functional invariants to watermark large transformers","venue":null,"work_id":"5cc1b91f-a7d9-4d0e-9906-c7b67be05448","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.064785Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:fa1772d420081764fa67d63ab18604aba4b2dad44a411ad45d48487d5579f9f6","observation_id":"cd3d9d76-25bf-48ad-8dfa-fab1c68d2980","resolution":{"observed_at":"2026-08-10T20:13:25.902726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.068105Z","title":"Making the v in vqa matter: Elevating the role of image understanding in visual question answering","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.068105Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:313ad2bf328cfc836e74c1eb9010b0d80d84e52fa3f1771deb3b8ad2abb520da","observation_id":"ea2bdedc-4e30-46da-a2a1-218a3dfccfae","resolution":{"observed_at":"2026-08-10T20:13:25.068105Z","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":"2026-08-10T20:13:25.883383Z","title":"Fine-tuning is not enough: A simple yet effective watermark removal attack for dnn models","venue":null,"work_id":"44cdea03-d2a6-4af6-b509-5ba3b4bfc92a","year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.071294Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:d82931aadb901b3e412c2a607bf827f14968555c11dfd7a38ef74961c40d1192","observation_id":"5d07fdc2-d92b-42e1-b6d7-42ba38089832","resolution":{"observed_at":"2026-08-10T20:13:25.886720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.074585Z","title":"J., Guo, A., Lin, C., Grauman, K., Luo, J., and Bigham, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.074585Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:bdd5a3fc92c153f83880a4c4438d8c67b5eefefd882085d6c60e85249744f150","observation_id":"82473f05-0d24-46a0-960d-f84e23e865c2","resolution":{"observed_at":"2026-08-10T20:13:25.074585Z","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":"2026-08-10T20:13:25.868285Z","title":null,"venue":null,"work_id":"096dc844-45ab-41dc-8bcb-6bcb7acdb70a","year":2016},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.077877Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:715348468b6a1cbb7768522d5b641ac96feb45ccead72774087e24f39dc6b168","observation_id":"1a1202a5-8ae6-4d64-a37e-bebdcfce3d7e","resolution":{"observed_at":"2026-08-10T20:13:25.871845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.858499Z","title":"Lora+: Efficient low rank adaptation of large models","venue":null,"work_id":"802711dd-aae7-4710-9a8a-ac04f63bd8c3","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.081791Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:065e220334a4a93e0b9251a0f0f1553a036204b229188b62a40720dd4197e228","observation_id":"37f62a86-a830-4649-a2ba-8fc3b066843d","resolution":{"observed_at":"2026-08-10T20:13:25.862116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.849111Z","title":"J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W","venue":null,"work_id":"ec0a28bd-6468-4e41-b68c-f74f9b514fc7","year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.085151Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:417a8f11a45d4c5725276bae781f950263bd1125521a6e970958c95a3c2f22a6","observation_id":"26fcccb2-fc7b-4f12-bfed-71348bd72651","resolution":{"observed_at":"2026-08-10T20:13:25.852470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.088457Z","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":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.088457Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:2109f30efc637f812cd4a036ce6cb8f3baabeb508fbd22d299bb08511e83c062","observation_id":"0e89581c-3895-468d-ae67-06c0ad34983b","resolution":{"observed_at":"2026-08-10T20:13:25.088457Z","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":"2026-08-10T20:13:25.092594Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.092594Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:5e0de6cbeb08e5fd84beeb535b203e297efe149ba394cdb086c1c4143a362184","observation_id":"1c12e084-5185-4d98-b1db-3fae4196b082","resolution":{"observed_at":"2026-08-10T20:13:25.092594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.06098","last_updated":"2023-01-19T08:21:44Z","snapshot_observed_at":"2026-08-16T18:03:27.274694Z","submitted_at":"2021-08-13T07:16:40Z","title":"FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.06098","snapshot_observed_at":"2026-08-10T20:13:25.096093Z","title":"Fedpara: Low-rank hadamard product for communication-efficient federated learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.096093Z"},"links":{"cited_paper":"/paper/2108.06098","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:83cf2e18b11a1c76b3417e021852582382fa84ebfb1e552edbc0ee0e7b666b4b","observation_id":"849e6dea-c90e-4280-9cde-364941a62c03","resolution":{"observed_at":"2026-08-10T20:13:25.096093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11867","last_updated":"2024-05-28T07:05:05Z","snapshot_observed_at":"2026-08-16T14:17:28.156425Z","submitted_at":"2024-02-19T06:22:09Z","title":"LoRA Training in the NTK Regime has No Spurious Local Minima","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11867","snapshot_observed_at":"2026-08-10T20:13:25.099681Z","title":"D., and Ryu, E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.099681Z"},"links":{"cited_paper":"/paper/2402.11867","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:77e32775724b64857bac163793480b97cb64bbdf35d278ed36db4bf10ec7e73c","observation_id":"9736ab3e-477f-45ea-afd7-feefe3146991","resolution":{"observed_at":"2026-08-10T20:13:25.099681Z","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":"2026-08-10T20:13:25.833351Z","title":"A., Chandrasekaran, V., and Papernot, N","venue":null,"work_id":"49755fc4-3947-4ed0-89f0-3c43d7f16106","year":1937},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.103456Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:d87523828c79a2faf808812b6fe0e4d5c29bd09abeb77ae236b06a49d79ff619","observation_id":"41684149-4c7b-4f93-b16d-423fe2158b10","resolution":{"observed_at":"2026-08-10T20:13:25.836859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-08-17T20:30:34.016254Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-10T20:13:25.107488Z","title":"Q., Sablayrolles, A., Mensch, A., Bamford, C., Chaplot, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.107488Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:ca49e7c8b2cec492c43087e104fee4da2bb0e16ad5aeaffdc22703c21955dfaf","observation_id":"c32027b3-cdbb-40e4-ade8-ec9e65fadcf3","resolution":{"observed_at":"2026-08-10T20:13:25.107488Z","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":"2026-08-10T20:13:25.111227Z","title":"On the reliability of watermarks for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.111227Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:7888f350e9871c5208950f65ced17a80ef268ddd26e2bee8b63c760812d28c55","observation_id":"3d6668a9-0947-4d5f-8ca7-2507b103e933","resolution":{"observed_at":"2026-08-10T20:13:25.111227Z","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":"2026-08-10T20:13:25.817267Z","title":"J., Blankevoort, T., and Asano, Y","venue":null,"work_id":"2680abed-db1d-48c0-bc23-49af901ed608","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.114476Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:101451ad81a2f65d10e87c033f57d3242fd462f7c405b7d51b365191b9d6c983","observation_id":"fe8fdf7d-97b8-4bc5-815a-793c00935db4","resolution":{"observed_at":"2026-08-10T20:13:25.820596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.117884Z","title":"Optimal brain damage","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.117884Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:582eb546162fa6b2f4f0a6838ac56b36c29058eadaae10a9b1e78dfae9b71ec4","observation_id":"d7578e36-b701-4fb6-9473-1ad1542808f5","resolution":{"observed_at":"2026-08-10T20:13:25.117884Z","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":"2026-08-10T20:13:25.801867Z","title":null,"venue":null,"work_id":"7903debb-1323-4d9d-84c5-908e2bb286b9","year":1963},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.121214Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:9fcbc761553d5c7d01acbae777d7b448ef2639855be00abc48c06079885bb995","observation_id":"671bfeab-579f-4ce1-bb40-664a33c0c27d","resolution":{"observed_at":"2026-08-10T20:13:25.805861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10355","last_updated":"2023-10-26T02:52:40Z","snapshot_observed_at":"2026-08-12T18:48:30.326248Z","submitted_at":"2023-05-17T16:34:01Z","title":"Evaluating Object Hallucination in Large Vision-Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10355","snapshot_observed_at":"2026-08-10T20:13:25.124574Z","title":"X., and Wen, J.-R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.124574Z"},"links":{"cited_paper":"/paper/2305.10355","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:bc30343b7b736eac0a23250ea8f624d042fe45376e182854638e58990c6baa0c","observation_id":"659b821e-b983-4d63-ae2c-9c8724d9736a","resolution":{"observed_at":"2026-08-10T20:13:25.124574Z","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":"2026-08-10T20:13:25.792505Z","title":"H., Chan, C","venue":null,"work_id":"743c7445-dd85-4f3a-92c8-9c69c6573390","year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.128116Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:3b74e7f544562ccf598eeeb9f62f7ca33723f1c8ce396d4cd3172a220d099743","observation_id":"b153a57f-3671-4152-92ed-fa171dec9604","resolution":{"observed_at":"2026-08-10T20:13:25.795757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.783673Z","title":"Watermarking deep neural networks with greedy residuals","venue":null,"work_id":"691f16f6-d66e-4593-b40a-7c96831081b5","year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.131558Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:29b48306857984eb1001afcdeaec601ec91df43ab30c75b0ffbf144d24c3bd3f","observation_id":"46385a97-ca54-40fb-9fd6-e1cd61debdd4","resolution":{"observed_at":"2026-08-10T20:13:25.787020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.134796Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.134796Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:7238e9496fa77faedcb094f3fddcbfe1dc40bb3223ce649f8a535c5af9b54f8d","observation_id":"b18fedc8-f72a-41ac-b4cd-6ec5b968c58e","resolution":{"observed_at":"2026-08-10T20:13:25.134796Z","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":"2026-08-10T20:13:25.138609Z","title":"F., Cheng, K.-T., and Chen, M.-H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.138609Z"},"links":{"cited_paper":"/paper/2402.09353","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:72d2071a19d815e6ed4865159912f2e04fd5497b44cc4d3fe6c27d7995ad7ba5","observation_id":"cc9c91bf-2fcc-4cd1-8dbe-961179d964cd","resolution":{"observed_at":"2026-08-10T20:13:25.138609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06281","last_updated":"2024-08-20T03:56:03Z","snapshot_observed_at":"2026-08-17T03:48:18.599994Z","submitted_at":"2023-07-12T16:23:09Z","title":"MMBench: Is Your Multi-modal Model an All-around Player?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06281","snapshot_observed_at":"2026-08-10T20:13:25.142751Z","title":"Mmbench: Is your multi-modal model an all-around player? arXiv preprint arXiv:2307.06281, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.142751Z"},"links":{"cited_paper":"/paper/2307.06281","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:8b42538bb18b4a137922fa59276a36c55d578b1716bd105078456d77d1ab6354","observation_id":"c15fad2a-a3db-4089-8922-7b5d1816b154","resolution":{"observed_at":"2026-08-10T20:13:25.142751Z","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":"2026-08-10T20:13:25.146405Z","title":"and Hutter, F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.146405Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:15ac1a15442593ab912b5c31b56b79461ec55f474edb3f0ecc956b33e3e6889a","observation_id":"ec6ebabe-185f-4fbd-b293-255c602e9226","resolution":{"observed_at":"2026-08-10T20:13:25.146405Z","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":"2026-08-10T20:13:25.149798Z","title":"Learn to explain: Multimodal reasoning via thought chains for science question answering","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.149798Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:d91517f3db5744a8b5ed09a55870b8b7157514b346760d29190f8792727420a5","observation_id":"4de6114e-7c08-4e78-b182-210d5b74193d","resolution":{"observed_at":"2026-08-10T20:13:25.149798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18928","last_updated":"2024-04-29T17:59:16Z","snapshot_observed_at":"2026-08-16T13:56:52.193019Z","submitted_at":"2024-04-29T17:59:16Z","title":"Stylus: Automatic Adapter Selection for Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18928","snapshot_observed_at":"2026-08-10T20:13:25.153292Z","title":"E., Chen, Z., Salakhutdinov, R., and Stoica, I","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.153292Z"},"links":{"cited_paper":"/paper/2404.18928","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:1ed514cdd1d57eaeb2532d6f6fb5c88952d02a18a631fa6ffdf8ddf02110a965","observation_id":"72369498-7ad5-40b1-80c5-be557c450766","resolution":{"observed_at":"2026-08-10T20:13:25.153292Z","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":"2026-08-10T20:13:25.157145Z","title":"Peft: State-of-the-art parameter-efficient fine-tuning methods","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.157145Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:a79e79d660819850aa963ebab7d97f3e64d34ed534b6c6495192337e6f57e893","observation_id":"8c437ef1-4d52-4431-a98b-fc74f6dd5fb9","resolution":{"observed_at":"2026-08-10T20:13:25.157145Z","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":"2026-08-10T20:13:25.160531Z","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":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.160531Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:a9aa8af177118faee46c4b61f1f82df75b5809c5ad3cf2bbc0949e4c5afae133","observation_id":"e31f34da-41dd-4fab-900c-84be5d3846de","resolution":{"observed_at":"2026-08-10T20:13:25.160531Z","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":"2026-08-10T20:13:25.748559Z","title":"Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization, 2024","venue":null,"work_id":"0125c32f-09c7-4f51-a30f-3dd294079d5b","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.163885Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:b99a557fa86a8a6331cb3cc18aef75fb882a2d773d6cb31b6ef24c6006216d4f","observation_id":"92a2c1b2-198c-44df-b472-83e32a50dc24","resolution":{"observed_at":"2026-08-10T20:13:25.752113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03590","last_updated":"2024-03-06T10:24:47Z","snapshot_observed_at":"2026-08-16T14:12:22.647736Z","submitted_at":"2024-03-06T10:24:47Z","title":"DeepEclipse: How to Break White-Box DNN-Watermarking Schemes","version":1},"cited_work":{"arxiv_id":"2403.03590","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.03590","snapshot_observed_at":"2026-08-10T20:13:25.487565Z","title":"DeepEclipse: How to Break White-Box DNN-Watermarking Schemes","venue":"cs.CR","work_id":"84946587-1212-4cae-8331-d3e7d4493d25","year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.167962Z"},"links":{"cited_paper":"/paper/2403.03590","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:7922af7f40cce68dd3053c9c912b704425cc8073b5074d689f16b16a80d487b6","observation_id":"a42b6bd3-ac15-41e3-90c9-ac6b887d6151","resolution":{"observed_at":"2026-08-10T20:13:25.494557Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.171706Z","title":"W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.171706Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:3ad414a3bffaac86f133bc0fd79efe4663415f7451d6936915ddc05d92862af9","observation_id":"063f4da1-2aaa-4d2a-a55d-e814190b7e3a","resolution":{"observed_at":"2026-08-10T20:13:25.171706Z","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":"2026-08-10T20:13:25.175166Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.175166Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:528257d73ea686ef4f3bddf6e2fe3fb6c62a37f1425f273515fccbb68636c765","observation_id":"0574f291-6cf6-4831-86bb-7d925a998783","resolution":{"observed_at":"2026-08-10T20:13:25.175166Z","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":"2026-08-10T20:13:25.178542Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.178542Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:0c743fc8d0b316d1cf31e568ede314fa4c19fcb53aa33949828cc8ff0b55d824","observation_id":"e33272da-1777-4264-80fb-0da218367416","resolution":{"observed_at":"2026-08-10T20:13:25.178542Z","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":"2026-08-10T20:13:25.182004Z","title":"L., Bhagavatula, C., and Choi, Y","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.182004Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:cdcb401488077b63e1bf9ec1be4d02ad703e5d39f5aed4828c1951f29db998f5","observation_id":"4dc4475b-b52f-4d1e-97c3-67a5e198b82c","resolution":{"observed_at":"2026-08-10T20:13:25.182004Z","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":"2026-08-12T21:45:41.485479Z","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":"2026-08-10T20:13:25.185218Z","title":"Socialiqa: Commonsense reasoning about social interactions","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.185218Z"},"links":{"cited_paper":"/paper/1904.09728","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:95ada610c6461bc44dbc8444b69b53f7b24fbce9d1134ee33f8edbe12eb1458e","observation_id":"58ca460b-af61-4f7f-9f3a-4a11431c3728","resolution":{"observed_at":"2026-08-10T20:13:25.185218Z","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":"2026-08-10T20:13:25.188876Z","title":"Towards vqa models that can read","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.188876Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:01465041c4b6eaf60a515911146e9a682cb66c82652b6ce4c2e50d6c32610f4b","observation_id":"8f549e09-35dc-4296-8af4-52e777dc1b9a","resolution":{"observed_at":"2026-08-10T20:13:25.188876Z","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":"2026-08-10T20:13:25.192460Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.192460Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:8d2892af4530936efb6ba7a4bbb2ea323811dba57e05360adc7fc202a10d814e","observation_id":"77ae7361-0279-4014-b918-4b0a736da0f8","resolution":{"observed_at":"2026-08-10T20:13:25.192460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-10T20:13:25.195973Z","title":"S., Love, J., et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.195973Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:ce175f5974dfea2703785841f1a0809774a1bd03e1dc701460103b6a44613648","observation_id":"809e8868-bec3-4668-9aec-3c78347d00d4","resolution":{"observed_at":"2026-08-10T20:13:25.195973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-10T20:13:25.199409Z","title":"Llama 2: Open foundation and fine-tuned chat models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.199409Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:3192e00a2f90e6c81db09ebc51173088151ddac262139335a83ebb621dbca1a6","observation_id":"7b7afdeb-6f73-4733-a538-39e8a6e35146","resolution":{"observed_at":"2026-08-10T20:13:25.199409Z","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":"2026-08-10T20:13:25.203007Z","title":"Embedding watermarks into deep neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.203007Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:72a23a96e2dd30f05b14056576d09221fdc75fe45b701dd68e020288ecccc4e2","observation_id":"68185a37-92df-4b87-a05b-90706eca90b4","resolution":{"observed_at":"2026-08-10T20:13:25.203007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05842","last_updated":"2025-04-26T08:10:01Z","snapshot_observed_at":"2026-08-16T14:11:24.475365Z","submitted_at":"2024-03-09T08:54:52Z","title":"TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05842","snapshot_observed_at":"2026-08-10T20:13:25.207000Z","title":"Hufu: A modality-agnositc watermarking system for pre-trained transformers via permutation equivariance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.207000Z"},"links":{"cited_paper":"/paper/2403.05842","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:78ed1bcc2179668c614cf1ee1677a755cedb0fc388a60fe2939ef307ee4c3ed2","observation_id":"9a0f7032-cbb3-457a-91db-cb10a3cf8294","resolution":{"observed_at":"2026-08-10T20:13:25.207000Z","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":"2026-08-10T20:13:25.706462Z","title":"Rethinking white-box watermarks on deep learning models under neural structural obfuscation","venue":null,"work_id":"2f93dca9-d427-4298-86be-1e5785680750","year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.210465Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:4b933a780a914fa07a9762bbd35b1d945084fd97ba36a7863ae15cc49e9935a3","observation_id":"bd32433f-2807-4c46-817c-d6b39464e58a","resolution":{"observed_at":"2026-08-10T20:13:25.709922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-10T20:13:25.213814Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.213814Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:213f8feb985f6551c258d2144bc293bd553eca21a308f99e38d4cd2bae03a1ca","observation_id":"53abea48-4a14-4eab-bceb-aef4d5605120","resolution":{"observed_at":"2026-08-10T20:13:25.213814Z","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":"2026-08-10T20:13:25.217264Z","title":"B., Oh, G., and Gong, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.217264Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:f1225786462d2d60f083be68c5eed279aef5b21dc704370f30190c15f8fe4107","observation_id":"91373c21-c493-46fd-857c-d497fd218cdd","resolution":{"observed_at":"2026-08-10T20:13:25.217264Z","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":"2026-08-15T09:37:44.321271Z","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":"2026-08-10T20:13:25.220916Z","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":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.220916Z"},"links":{"cited_paper":"/paper/1905.07830","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:d5fa13eea6113c4133de752b2a76483632a7bea7a328e0b37e189f7721ffe452","observation_id":"8af715ac-40a1-41fb-ab59-b2c787bb0b63","resolution":{"observed_at":"2026-08-10T20:13:25.220916Z","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":"2026-08-10T20:13:25.691672Z","title":"P., Huang, H., and Molloy, I","venue":null,"work_id":"b2b5b15d-8eb8-45e6-ac57-bb392083538f","year":2018},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.224474Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:6b908dd213144cca5ddcdb967e5fbe7d34ac5a6ed494c8b1c8c527c9465f2008","observation_id":"ce9efd2c-96b9-4dad-91af-7287ac2d6819","resolution":{"observed_at":"2026-08-10T20:13:25.695059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T20:13:25.680784Z","title":"Passport-aware normalization for deep model protection","venue":null,"work_id":"697fefce-f2bd-4c91-ac0e-edc5e8590982","year":2020},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.227696Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:6cc4834e7430a594943c4911a462b8c73ba7d74ad960b2a704fbd574099e288c","observation_id":"42589946-719d-4c66-8d81-0c6059aaf47a","resolution":{"observed_at":"2026-08-10T20:13:25.685509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03303","last_updated":"2026-05-09T05:30:15Z","snapshot_observed_at":"2026-08-13T08:01:16.750424Z","submitted_at":"2023-08-07T05:12:27Z","title":"LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03303","snapshot_observed_at":"2026-08-10T20:13:25.230824Z","title":"Lora-fa: Memory-efficient low-rank adaptation for large language models fine-tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.230824Z"},"links":{"cited_paper":"/paper/2308.03303","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:cc8615c36f7fb7ef2c14cbeeb7f5126cd107234759cffae9eb64428f6b9e19f0","observation_id":"ff930418-18d6-4fb7-9ccc-6b2f49bd7a61","resolution":{"observed_at":"2026-08-10T20:13:25.230824Z","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":"2026-08-10T20:13:25.670206Z","title":"Adaptive budget allocation for parameter-efficient fine-tuning","venue":null,"work_id":"6fe91854-f3b7-45ce-82c6-246e30b9aef6","year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.234401Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:aaa4b7bbf7e2e7c70eea983558d3d37c2d4ef05b62fe009669761c3ebd33f904","observation_id":"308dbe86-1e10-482b-8c7f-ca997e3e40fa","resolution":{"observed_at":"2026-08-10T20:13:25.674503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00732","last_updated":"2024-04-29T04:01:45Z","snapshot_observed_at":"2026-08-16T13:57:06.445882Z","submitted_at":"2024-04-29T04:01:45Z","title":"LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00732","snapshot_observed_at":"2026-08-10T20:13:25.237632Z","title":"Lora land: 310 fine-tuned llms that rival gpt-4, a technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.237632Z"},"links":{"cited_paper":"/paper/2405.00732","citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:61c3c742d9c859bec05891fd9d37d27da2b33074b5de3cb0afe56a215863e698","observation_id":"eba97470-625d-4d4d-94ba-73bc056f6774","resolution":{"observed_at":"2026-08-10T20:13:25.237632Z","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":"2026-08-10T20:13:25.241566Z","title":"P., Zhang, H., Gonzalez, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.241566Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:9fde44a3e8535412e052b075c8a819e38a8650f76da59825d599231b96a20291","observation_id":"60e569af-ee02-49a5-baa4-687f98f84dde","resolution":{"observed_at":"2026-08-10T20:13:25.241566Z","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":"2026-08-10T20:13:25.245669Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-10T20:13:25.245669Z"},"links":{"citing_paper":"/paper/2501.09284"},"observation_digest":"sha256:ba44997b37f0540783716451c85ef33d44f61162dc3929e06806fb883346fad8","observation_id":"7c4c3906-ca64-46d2-a856-6ba1c7f0144f","resolution":{"observed_at":"2026-08-10T20:13:25.245669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.09284","last_updated":"2025-01-17T04:59:32Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T08:02:24.145738Z","submitted_at":"2025-01-16T04:17:56Z","title":"SEAL: Entangled White-box Watermarks on Low-Rank Adaptation"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":46,"verified_exact":1,"verified_fuzzy":18},"total_outbound_references":66},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2501.09284."}