{"as_of":"2026-08-08T19:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:689d52d26148d22503d350729ab4b03a82c90b81d22a898346c4691cbb757d79","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T20:25:38.613760Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.16648/citation-record","integrity":"/paper/2607.16648/integrity","json":"/paper/2607.16648/citation-record.json","paper":"/paper/2607.16648"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T20:25:37.601095Z","title":"Rennie, Mikhail Pavlov, Jacob Devlin, Sanjay Aggarwal, Mike Lewis, Neil Houlsby, Colin Raffel, Barbara Plank, Lee Howard, Martin D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.601095Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:f40c5ee9afa9250f3b6658a4c2512ce61b0837d225061d1a0adaa0ee6952e07a","observation_id":"153f113d-73a8-4d43-b30e-9ce9819919af","resolution":{"observed_at":"2026-08-01T20:25:37.601095Z","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":"2026-08-01T20:25:37.635404Z","title":"Cox, Matthew L","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.635404Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:72a3dad4f7c5b7ab884c48de6bec10d3a14091b9b0b94b086ee29eb3ac11f892","observation_id":"efaaf85b-c4d0-483c-a2c6-ef25ae4b1387","resolution":{"observed_at":"2026-08-01T20:25:37.635404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04036","last_updated":"2025-07-26T15:47:19Z","snapshot_observed_at":"2026-08-07T17:26:01.164991Z","submitted_at":"2025-03-06T02:40:51Z","title":"Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04036","snapshot_observed_at":"2026-08-01T20:25:37.692139Z","title":"Robust data watermarking in language models by injecting fictitious knowledge","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.692139Z"},"links":{"cited_paper":"/paper/2503.04036","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:ad7e70773f862d975b7a37c9cf19dca5be11af5cf85592c053838f4545238dfc","observation_id":"815dcbc1-adb4-435f-b2e3-8aea677e051e","resolution":{"observed_at":"2026-08-01T20:25:37.692139Z","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":"2026-08-01T20:25:37.757001Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.757001Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:96592a99c9b9e9715695ed5fc36044de6ca55be118018aa01132353ad88aa8b3","observation_id":"86f3b8d0-1be2-497e-ac11-07d26e5ca360","resolution":{"observed_at":"2026-08-01T20:25:37.757001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12948","last_updated":"2024-05-28T04:58:41Z","snapshot_observed_at":"2026-08-04T00:48:02.827197Z","submitted_at":"2024-02-20T12:05:47Z","title":"GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12948","snapshot_observed_at":"2026-08-01T20:25:37.789868Z","title":"Gumbelsoft: Diversified language model watermarking via the gumbelmax-trick","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.789868Z"},"links":{"cited_paper":"/paper/2402.12948","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:b9bbd4a14cf5aecd0cc19f4f32cca91328a3e9287a7e7eae410f752c6caccedc","observation_id":"1c2d1745-03fe-407d-80aa-3a0906ec83af","resolution":{"observed_at":"2026-08-01T20:25:37.789868Z","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":"2026-08-01T20:25:37.819229Z","title":null,"venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.819229Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:882812168bcd08277f0a7dab3bd50b446fc3057d2350ed7386f8c2a540463928","observation_id":"b1283c0a-a04d-40fd-be59-f9cfb8055626","resolution":{"observed_at":"2026-08-01T20:25:37.819229Z","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":"2026-08-01T20:25:37.858716Z","title":"A watermark for large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.858716Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:532a0d71ea6545828f6b396a08484a1d4ca038100313b8b95ffc2fc446f21db5","observation_id":"171fc635-149d-4628-b4f3-dbc599ec2dff","resolution":{"observed_at":"2026-08-01T20:25:37.858716Z","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":"2026-08-01T20:25:37.911134Z","title":"Synthid-text: Practical watermarking for large language models.Nature, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.911134Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:7d7831ca4f9183ede996dbf8980091df9118af74333f59474e1d684eb6a74b76","observation_id":"613b8626-8c32-4db2-97e7-054c5bafc79e","resolution":{"observed_at":"2026-08-01T20:25:37.911134Z","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":"2026-08-01T20:25:37.958690Z","title":"Robust and semantically invariant watermarks for large language models.ICLR, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:37.958690Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:45a4542247a4280695c6c32322a74d11b5f025cf3e7583bae2928beaf0199baa","observation_id":"2ef9a76a-f1bc-40a3-a9dd-cac718d79047","resolution":{"observed_at":"2026-08-01T20:25:37.958690Z","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":"2026-08-01T20:25:38.047571Z","title":"A survey of results for deletion channels and related synchronization channels.Probability Surveys, 6:1–33, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.047571Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:0c66dc4329b813b40a5399d1183e7b43b9289dc0791104491ac46453d48854b8","observation_id":"8405ade5-2488-4c47-ab33-904a9e3819ef","resolution":{"observed_at":"2026-08-01T20:25:38.047571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16063","last_updated":"2026-04-11T10:27:22Z","snapshot_observed_at":"2026-08-03T00:36:25.798577Z","submitted_at":"2024-01-29T11:18:29Z","title":"Channels with Markov Synchronization Errors: Information Stability and Capacity Bounds","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16063","snapshot_observed_at":"2026-08-01T20:25:38.085455Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.085455Z"},"links":{"cited_paper":"/paper/2401.16063","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:747abfc928c58dbd5add3f0eb213a861bc7f93a06413ddf95b247e063e1e57e2","observation_id":"0f36b66c-c20b-4ea9-b210-c0f7c4794523","resolution":{"observed_at":"2026-08-01T20:25:38.085455Z","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":"2026-08-01T20:25:38.126026Z","title":"Capacity and coding for the gilbert–elliott channels.IEEE Transactions on Information Theory, 35(6):1277–1290, 1989","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.126026Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:8976222042adc87729052d76c44afb99ae3605f723cd81f271a366435fcac237","observation_id":"bf21411d-41b2-458e-8cfa-a1a1f550c7b4","resolution":{"observed_at":"2026-08-01T20:25:38.126026Z","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":"2026-08-01T20:25:38.168618Z","title":"Ensemble watermarks for large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.168618Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:3869de77c2ecec958414bd5bc495920f238713e6775bc81948373a1aa4a986ad","observation_id":"798f0ea5-21a3-4b97-bc93-0374604d0b34","resolution":{"observed_at":"2026-08-01T20:25:38.168618Z","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":"2026-08-01T20:25:38.235113Z","title":"GPT-4 Technical Report.https://openai.com/research/gpt-4, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.235113Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:1bb1c7a5c11fdc6723936342fb79f0ff24c5e6bb9299455288bc22e28f9e470d","observation_id":"a0749904-02f0-4216-96e3-243830cf5701","resolution":{"observed_at":"2026-08-01T20:25:38.235113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16820","last_updated":"2025-01-28T03:21:30Z","snapshot_observed_at":"2026-08-01T20:12:26.126298Z","submitted_at":"2024-01-30T08:46:48Z","title":"Provably Robust Multi-bit Watermarking for AI-generated Text","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16820","snapshot_observed_at":"2026-08-01T20:25:38.296500Z","title":"Provably robust multi-bit watermarking for AI-generated text.arXiv preprint arXiv:2401.16820, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.296500Z"},"links":{"cited_paper":"/paper/2401.16820","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:fb36635949d6583c7a40dd90a90dc54710ad56d73f9a6a9054b6ee789684808d","observation_id":"efda8c6a-da6c-4428-a19e-58b172a5569f","resolution":{"observed_at":"2026-08-01T20:25:38.296500Z","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":"2026-08-01T20:25:38.327904Z","title":"Rabiner.A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, volume 77","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.327904Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:3ea6d0030747b4e0791fbe2a19a481e7a74ce9066c969ed935adf7d6a0df3c1f","observation_id":"8dd8a1db-d2d7-4dba-96d9-0256e6ed4a84","resolution":{"observed_at":"2026-08-01T20:25:38.327904Z","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":"2026-08-01T20:25:38.371905Z","title":"Watermarking makes language models radioactive","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.371905Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:dca2b3f7ff9ba4907ff46721bd00bdf0251e94b2e87cf43f04d0cf2955dee8d9","observation_id":"189d8781-5660-4ba9-b796-c729c167e4a6","resolution":{"observed_at":"2026-08-01T20:25:38.371905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-01T20:25:38.426596Z","title":"LLaMA: Open and efficient foundation language models.arXiv preprint arXiv:2302.13971, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.426596Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:b79e97c852e5f72a307450ae1c041abea1536b1aba0f5f74438f49715695f1e2","observation_id":"8b30c590-c9fe-4081-9694-90ec03bfe027","resolution":{"observed_at":"2026-08-01T20:25:38.426596Z","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":"2026-08-01T20:25:38.456789Z","title":"An end-to-end model for logits based large language models watermarking, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.456789Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:ebf200c039365a992f02ee83ebfac2e17a858f507c55bd8cb89e7bd6a4fbc69a","observation_id":"798698f1-83a9-4218-a30c-36f7dbaaca74","resolution":{"observed_at":"2026-08-01T20:25:38.456789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10876","last_updated":"2024-10-09T05:01:48Z","snapshot_observed_at":"2026-08-07T18:10:59.930353Z","submitted_at":"2024-10-09T05:01:48Z","title":"FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10876","snapshot_observed_at":"2026-08-01T20:25:38.501268Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.501268Z"},"links":{"cited_paper":"/paper/2410.10876","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:0487db0d99af4ad25b2e7c8f275e149595dd0c8644a9fcf5e45653707d622d68","observation_id":"bb9618f9-9727-4e51-bd7a-779a16de2849","resolution":{"observed_at":"2026-08-01T20:25:38.501268Z","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":"2026-08-01T20:25:38.552622Z","title":"Provable robust watermarking for ai-generated text","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.552622Z"},"links":{"citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:c3a1962f4f89ce5f3617afa85b1bb5bf3ed35b686c03b095265c98c7ebc7eac8","observation_id":"fc49f34f-fd30-4546-a37f-cac09b9da39b","resolution":{"observed_at":"2026-08-01T20:25:38.552622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13000","last_updated":"2024-08-08T13:33:12Z","snapshot_observed_at":"2026-07-06T17:47:13.814205Z","submitted_at":"2024-03-12T16:25:38Z","title":"Duwak: Dual Watermarks in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13000","snapshot_observed_at":"2026-08-01T20:25:38.613760Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T20:25:38.613760Z"},"links":{"cited_paper":"/paper/2403.13000","citing_paper":"/paper/2607.16648"},"observation_digest":"sha256:c85f15bb43cda6bd50da0ce6ef542ab8adf65fe8b5e18f6ba6318d768b660a8f","observation_id":"1a52bc8b-cff7-48ed-900e-b529a6d90f9a","resolution":{"observed_at":"2026-08-01T20:25:38.613760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.16648","last_updated":"2026-07-18T05:43:22Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-04T03:46:27.593505Z","submitted_at":"2026-07-18T05:43:22Z","title":"Synchronization-Free Algebraic Fingerprints for Large Language Models: From Autoregressive to Diffusion Models"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.16648."}