{"as_of":"2026-08-12T17:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:888fda3f9cbf006ea674254ae6ceae0eb8c591c7056a2c4ab33ca6e9b12a6ab7","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:49:58.596127Z","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":"2026-05-24T02:03:43.949710Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2404.02138","last_updated":"2026-04-15T01:27:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-02T17:49:40Z","title":"Topic-Based Watermarks for Large Language Models","version":6},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-24T02:03:15.833131Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2404.02138"},"observation_digest":"sha256:5812b13ff4196fd6eaca30fdd8e506fefbe4854e76e51bd619d7d9bc2e8693eb","observation_id":"ab2d2e19-a0b7-4c3c-9215-827eaa95fa6d","resolution":{"observed_at":"2026-05-24T02:03:43.953035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-11T22:49:58.596127Z","title":"A semantic invariant robust watermark for large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03123","last_updated":"2025-06-16T21:12:38Z","snapshot_observed_at":"2026-08-11T22:42:44.214750Z","submitted_at":"2024-12-04T08:43:12Z","title":"Robust Multi-bit Text Watermark with LLM-based Paraphrasers","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:49:58.596127Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2412.03123"},"observation_digest":"sha256:cb07b67cb5960c9ca43f3e128e0b980a5183cd96b0335b0f9cc13dd077827df0","observation_id":"db3b9b8d-12db-4643-a93d-cea1680c2e12","resolution":{"observed_at":"2026-08-11T22:49:58.596127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-10T19:12:46.291784Z","title":"A semantic invariant robust watermark for large language models, 2024 a","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13941","last_updated":"2025-01-17T22:30:08Z","snapshot_observed_at":"2026-08-11T20:46:31.895303Z","submitted_at":"2025-01-17T22:30:08Z","title":"GaussMark: A Practical Approach for Structural Watermarking of Language Models","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-10T19:12:46.291784Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2501.13941"},"observation_digest":"sha256:78d4298ff8791122a3cd8c6296ea4e3e4671ae0722e1b90c51eae6d5a758217c","observation_id":"d093f756-f98f-4450-80b4-27f76bec3f30","resolution":{"observed_at":"2026-08-10T19:12:46.291784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-09T11:12:56.321427Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02787","last_updated":"2025-09-11T04:36:56Z","snapshot_observed_at":"2026-08-12T05:06:25.989625Z","submitted_at":"2025-02-05T00:21:01Z","title":"SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T11:12:56.321427Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2502.02787"},"observation_digest":"sha256:7ebe6ae985689cbc00f0907609132e927e97ce5e9b4ee8b6267d973316124a1f","observation_id":"d3f2def3-a8ba-449d-8a9d-5b887c772477","resolution":{"observed_at":"2026-08-09T11:12:56.321427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-07T12:37:06.661668Z","title":"A semantic invariant robust watermark for large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24267","last_updated":"2025-05-30T06:45:31Z","snapshot_observed_at":"2026-08-12T00:46:40.407953Z","submitted_at":"2025-05-30T06:45:31Z","title":"MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:37:06.661668Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2505.24267"},"observation_digest":"sha256:fcb2ddb0d2976283d9399fbfe3e44205d6e4f6e73c5346c742eeb7cbdbf1134e","observation_id":"c7158a0a-cddb-41e5-b7f4-645b683b0dd5","resolution":{"observed_at":"2026-08-07T12:37:06.661668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-04T22:33:32.520899Z","title":"A semantic invariant robust watermark for large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07287","last_updated":"2025-09-08T23:44:00Z","snapshot_observed_at":"2026-08-12T10:04:00.966804Z","submitted_at":"2025-09-08T23:44:00Z","title":"Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm","version":1},"reference_index":139,"source":"pdf_text","source_observed_at":"2026-08-04T22:33:32.520899Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2509.07287"},"observation_digest":"sha256:5229da2567291cb7f17253167229348a76980ece226b5083209f4354fc7d85e9","observation_id":"1c64c680-dd1a-454f-aaa3-6680aa56010b","resolution":{"observed_at":"2026-08-04T22:33:32.520899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2509.20924","last_updated":"2026-05-14T06:08:08Z","snapshot_observed_at":"2026-08-12T16:49:13.540641Z","submitted_at":"2025-09-25T09:08:02Z","title":"RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-18T14:25:25.576642Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2509.20924"},"observation_digest":"sha256:4d908389ff562473838001e10f5174a4a638c4e137c222ecb02ae735d79e0b9a","observation_id":"21a57ae4-7a7f-485c-9d15-b0e50ded7414","resolution":{"observed_at":"2026-05-18T14:26:28.006679Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2604.22335","last_updated":"2026-04-24T08:07:58Z","snapshot_observed_at":"2026-07-31T12:41:55.323609Z","submitted_at":"2026-04-24T08:07:58Z","title":"Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T11:58:36.326809Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2604.22335"},"observation_digest":"sha256:d00b49f5c350bda0cbc0a8bc8f64b0083588e8d61e4356112519bb67168dc702","observation_id":"ef863d8d-af3c-4ac7-8685-b5cdc9314501","resolution":{"observed_at":"2026-05-11T19:26:09.035196Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2605.04305","last_updated":"2026-05-05T21:13:30Z","snapshot_observed_at":"2026-08-11T16:49:57.814327Z","submitted_at":"2026-05-05T21:13:30Z","title":"SWAN: Semantic Watermarking with Abstract Meaning Representation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-08T17:00:12.024370Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2605.04305"},"observation_digest":"sha256:27564e9c51775c9f61c9d4cb842d88f9c58c1bf934f7df976bfb8522e5761a60","observation_id":"6d2a0774-a6cd-4210-a7dd-1fdf68137b19","resolution":{"observed_at":"2026-05-11T17:51:09.542804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2605.05443","last_updated":"2026-05-08T18:19:21Z","snapshot_observed_at":"2026-08-11T22:14:11.346261Z","submitted_at":"2026-05-06T21:11:17Z","title":"SLAM: Structural Linguistic Activation Marking for Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T16:17:22.003460Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2605.05443"},"observation_digest":"sha256:b3b9cff672c12f1e9c1f7a6c64e424b90ff371f29e1788948a9a024e0ac760a6","observation_id":"8c572f92-f562-4d00-b249-52ffc822e8e8","resolution":{"observed_at":"2026-05-11T18:21:07.110105Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2605.12456","last_updated":"2026-05-21T17:19:23Z","snapshot_observed_at":"2026-08-03T13:17:40.609426Z","submitted_at":"2026-05-12T17:44:41Z","title":"TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T03:45:47.751525Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2605.12456"},"observation_digest":"sha256:b915ca7df38fac5f7be4a57eb5517d46f7f51220a7438036df28be9bd5992c86","observation_id":"04250987-da55-4de2-ad57-9631edbe2d47","resolution":{"observed_at":"2026-05-13T03:47:11.948970Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":"2310.06356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356","venue":null,"work_id":"d144cbc1-db79-4033-bf53-70e1ab41f15c","year":2024},"citing_paper":{"arxiv_id":"2605.12456","last_updated":"2026-05-21T17:19:23Z","snapshot_observed_at":"2026-08-03T13:17:40.609426Z","submitted_at":"2026-05-12T17:44:41Z","title":"TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-22T09:56:23.855385Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2605.12456"},"observation_digest":"sha256:449eab8b7b82463bee885cfc9db3f7a76f8b1a8b11f826179e489876cbfbd478","observation_id":"d4fe231c-1a7a-42bb-a718-afd4587e2ad5","resolution":{"observed_at":"2026-05-22T10:01:23.713241Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06356","snapshot_observed_at":"2026-08-02T06:36:32.242481Z","title":"A semantic invariant robust watermark for large language models.arXiv preprint arXiv:2310.06356, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13099","last_updated":"2026-07-14T06:18:05Z","snapshot_observed_at":"2026-08-06T04:25:15.893833Z","submitted_at":"2026-07-14T06:18:05Z","title":"WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T06:36:32.242481Z"},"links":{"cited_paper":"/paper/2310.06356","citing_paper":"/paper/2607.13099"},"observation_digest":"sha256:08b42f648d71cd30063057648cac70c5d274afad08a1e24a119de08f90649266","observation_id":"388477e7-441b-47e5-8da6-205cd3c237ff","resolution":{"observed_at":"2026-08-02T06:36:32.242481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.06356/citation-record","integrity":"/paper/2310.06356/integrity","json":"/paper/2310.06356/citation-record.json","paper":"/paper/2310.06356"},"outbound":[],"paper":{"arxiv_id":"2310.06356","last_updated":"2024-05-19T12:24:40Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-10T22:33:45.063331Z","submitted_at":"2023-10-10T06:49:43Z","title":"A Semantic Invariant Robust Watermark for Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2310.06356."}