{"as_of":"2026-08-08T08:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bedb72924bc20585f7a0c73018bdfb685dbd1da0f795b7d63869df0f43bc1e72","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T21:24:15.244128Z","state":"measured"},{"denominator":73,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":73,"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/2608.05909/citation-record","integrity":"/paper/2608.05909/integrity","json":"/paper/2608.05909/citation-record.json","paper":"/paper/2608.05909"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T21:24:14.981547Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:14.981547Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:f49241a0e9993550b8f54721c9260638e73ee79ca01477156176939b670f797a","observation_id":"ff2dbadf-aff5-4e2d-9a2e-d97980abc15d","resolution":{"observed_at":"2026-08-07T21:24:14.981547Z","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":"2026-08-07T21:24:16.404321Z","title":null,"venue":null,"work_id":"a180ffb7-3d70-4235-a76e-6d0bff128aa5","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:14.986275Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6ee1e3945277c31f5a6ff849caaee477d0c6f19fab2de6a0e60dd8462345c1a7","observation_id":"26486455-9add-4e10-95a4-68ccbb22d4e3","resolution":{"observed_at":"2026-08-07T21:24:16.407522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.393557Z","title":null,"venue":null,"work_id":"3f0f0d72-4d8d-49e3-a457-962c9e3ad411","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:14.990401Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:b841b263c0a3e6b3944f5cfabbaddcec9576cfb33b263b3deb8211041796112c","observation_id":"ecf9dd8c-7863-4747-8ff5-40cd09a47554","resolution":{"observed_at":"2026-08-07T21:24:16.396872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.382309Z","title":null,"venue":null,"work_id":"2e8ff269-3695-4e0e-8aae-63ed0683c0ab","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:14.994370Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:0ca53bc7d0becdc8070f648276b4427ce81fe127ae5e5641e9126346f082c50d","observation_id":"961b2c50-32b7-493d-9195-91990ecf4188","resolution":{"observed_at":"2026-08-07T21:24:16.386015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10414","last_updated":"2024-11-15T18:34:07Z","snapshot_observed_at":"2026-08-06T19:21:24.933454Z","submitted_at":"2024-11-15T18:34:07Z","title":"Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10414","snapshot_observed_at":"2026-08-07T21:24:14.998324Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:14.998324Z"},"links":{"cited_paper":"/paper/2411.10414","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:4de8ef215668156d44df08cf4392ed98eb1b66edb7686b3b0ae2a9c05a7f4258","observation_id":"ee6d2054-32cc-419f-8e86-cdc0571d642c","resolution":{"observed_at":"2026-08-07T21:24:14.998324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-08-07T21:24:15.002578Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.002578Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:9737720c8f20ce147dd88ed6f7042a0c0aaa4bf8dff0550085b78ccfd964695c","observation_id":"16fe844c-54ce-47d7-8e4c-e2365bb501b0","resolution":{"observed_at":"2026-08-07T21:24:15.002578Z","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":"2026-08-07T21:24:16.370986Z","title":null,"venue":null,"work_id":"90314b5d-347d-4830-8bd4-9f35914b0402","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.007334Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:295cbad29b77178c9d1f616f08430d03f6ea0c95cdf5e613dc1fe0faf7aeb7d4","observation_id":"6d11c45f-7d53-4f4a-b59d-707c8d3bce56","resolution":{"observed_at":"2026-08-07T21:24:16.374746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00296","last_updated":"2026-07-04T04:35:22Z","snapshot_observed_at":"2026-08-06T17:52:29.080702Z","submitted_at":"2024-10-01T00:37:29Z","title":"VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00296","snapshot_observed_at":"2026-08-07T21:24:15.011004Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.011004Z"},"links":{"cited_paper":"/paper/2410.00296","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:38a9036cf39e27b11af4ceed1dcc584613c7daf203aaa9d4f7af102322ec06be","observation_id":"2c0048a1-d541-41b2-8bec-541ec2e7c92f","resolution":{"observed_at":"2026-08-07T21:24:15.011004Z","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":"2026-08-07T21:24:16.359372Z","title":null,"venue":null,"work_id":"0c836cfc-93b1-4100-abcb-97b72f22184c","year":2023},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.015162Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:233b54be11836f3cc3dc922434e877eaf6356576ec27f034d1de55de1ffe4269","observation_id":"fab2373c-13e0-46c8-9c62-5e57c8018be3","resolution":{"observed_at":"2026-08-07T21:24:16.363071Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.347952Z","title":null,"venue":null,"work_id":"7a1b3fc4-7ee5-4139-a9bb-44cf58bc9e3f","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.018863Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:87b6d3ec1088f75a72e722f72cc7b7b39dcb83ad3f96c3f8a995fe5e065fb837","observation_id":"9043edd1-6a7f-4d1c-8276-1e5d6e265d8d","resolution":{"observed_at":"2026-08-07T21:24:16.351812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.336370Z","title":null,"venue":null,"work_id":"0a8f1040-f26a-4476-b821-386f3e37d0b1","year":null},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.022705Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:443710b175796e6951d9cae6164478de1304b7bb16436f7d6e41b01f9bf19669","observation_id":"58857a49-ee0d-4c96-841e-82b690eff9c8","resolution":{"observed_at":"2026-08-07T21:24:16.340389Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.313043Z","title":null,"venue":null,"work_id":"7031947b-996f-4a0d-8bfc-a6af5ad65f31","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.030326Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:eb79987abafbcd14f161177038aafc4be3764616c299bd684d4923c3b9ee0083","observation_id":"ee7defe8-47b6-44bb-b477-7fc6463e0ef3","resolution":{"observed_at":"2026-08-07T21:24:16.316823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.301278Z","title":null,"venue":null,"work_id":"e327daa0-c732-49aa-801d-269258fd41f5","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.034059Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:23c2b7bf24aa1a1ce00182243827c86352473bed973444c93ade4ffb032dbfef","observation_id":"72cbb858-e67d-4ca1-942a-a349225e364e","resolution":{"observed_at":"2026-08-07T21:24:16.304977Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.289629Z","title":null,"venue":null,"work_id":"02ff682c-e066-431f-bbf7-4eab79013c0c","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.037616Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:bebada6998f9f57e5807b817c986322801e6d9c298f3085e599f6161a0b2f46d","observation_id":"4cb4ed13-4e43-43da-abbf-7ed1c8d6241c","resolution":{"observed_at":"2026-08-07T21:24:16.293563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T21:24:15.040900Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.040900Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:25538bf5f61b83fbd1b116826275662a0ed34580bb6d6a6e6b983f16c94801e0","observation_id":"30e65522-00bc-420b-91c9-8cb512674c6a","resolution":{"observed_at":"2026-08-07T21:24:15.040900Z","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":"2026-08-07T21:24:16.276219Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"a5297d57-d5ba-4c01-a5bf-d728aa88c781","year":2022},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.044424Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:2af0f8039212f2e1b8264c480571c9d916c27f4e9df163a5d6d1ae8adead625e","observation_id":"a3d3b2a9-98f5-411c-b142-745aa19bfbee","resolution":{"observed_at":"2026-08-07T21:24:16.281066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.263131Z","title":null,"venue":null,"work_id":"ff026f00-003a-4e19-8b06-7a49ebecac5a","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.047609Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:47eddcf2504593afdb29099d679bd751ef12dd5ddddc945247943234301462a7","observation_id":"23a42973-7359-4566-bd31-e710ef60d743","resolution":{"observed_at":"2026-08-07T21:24:16.267067Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14744","last_updated":"2025-06-23T06:11:32Z","snapshot_observed_at":"2026-08-07T18:01:22.772663Z","submitted_at":"2025-02-20T17:14:34Z","title":"HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14744","snapshot_observed_at":"2026-08-07T21:24:15.051214Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.051214Z"},"links":{"cited_paper":"/paper/2502.14744","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:34652583942b21ddac34a518fc1537599f9e84b3626e1069bc525fe3092be3a8","observation_id":"0e77d1f4-25a7-4ee5-865a-c23ebb2261b2","resolution":{"observed_at":"2026-08-07T21:24:15.051214Z","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":"2026-08-07T21:24:16.251269Z","title":null,"venue":null,"work_id":"57bb13c8-dc65-4991-a45b-76588823a51e","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.054807Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:c6a53da236acadfa1ba550943482da5aa482153991262d212c6db8599637c064","observation_id":"dcfca6e4-a892-484a-a909-5f71ab51b00e","resolution":{"observed_at":"2026-08-07T21:24:16.255162Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.239554Z","title":null,"venue":null,"work_id":"d8df409d-45cd-496e-b36f-50ea3f00719a","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.057998Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:d12fdc95b51f80fa1e5dc8764e303c067d6f8c5f3c4fb5edd80be0e912379f3b","observation_id":"ab8d98b7-91e1-4d8c-a03a-023df56ba124","resolution":{"observed_at":"2026-08-07T21:24:16.243062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.228676Z","title":null,"venue":null,"work_id":"7689c02a-bd71-48df-a37f-f1e31cdd6be3","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.061240Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6925e6955cf75ce628e4dae02f4dafdb3726976bdea4e6bc81c447b2bf8c2a38","observation_id":"a9d3af8b-1b5a-4863-a0ae-4cda05e33dd1","resolution":{"observed_at":"2026-08-07T21:24:16.232048Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.217531Z","title":null,"venue":null,"work_id":"6c982621-93bc-442a-b696-d50e2bf5f82a","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.064300Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:889f925c0568cb63aa7b47b33b7ff87a4ecc47481d86abed4556d3b49cad304e","observation_id":"56a8483e-da1a-4298-9595-bc65428c1916","resolution":{"observed_at":"2026-08-07T21:24:16.220918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.067891Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.067891Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:a88d4dc0dc8d87dfe70799292fcb06f72bc2653ab5e7bde3ceaf3d25dd9feac7","observation_id":"962f29ee-e51f-4edd-bca6-178705817331","resolution":{"observed_at":"2026-08-07T21:24:15.067891Z","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":"2026-08-07T21:24:16.198923Z","title":null,"venue":null,"work_id":"e3637683-de1a-42e7-a980-602e59db1d52","year":2023},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.071581Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:0865767cd2333e95b754185f84a55efc9b1ad49cde27c86bfcb017beda36d75f","observation_id":"c718a126-3dc4-478f-b9aa-bb845cd7fb8f","resolution":{"observed_at":"2026-08-07T21:24:16.202221Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.187694Z","title":null,"venue":null,"work_id":"b104f4d4-e414-40a3-801d-2dd5f060b412","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.075247Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:a051b76f573370cafaf682c204a2abd003192707a058b68a385590819752283a","observation_id":"426c5cf1-5e62-4aeb-b2f4-83d4433b861a","resolution":{"observed_at":"2026-08-07T21:24:16.191413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09047","last_updated":"2024-10-11T17:59:31Z","snapshot_observed_at":"2026-07-06T19:31:57.906994Z","submitted_at":"2024-10-11T17:59:31Z","title":"Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09047","snapshot_observed_at":"2026-08-07T21:24:15.078926Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.078926Z"},"links":{"cited_paper":"/paper/2410.09047","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:dd6bf4bd8574b280d49d9553f2f72bd850318e847697e3fa697c5f9fc79ce66c","observation_id":"3e001b87-93db-4863-9d83-94c679069139","resolution":{"observed_at":"2026-08-07T21:24:15.078926Z","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":"2026-08-07T21:24:16.175490Z","title":null,"venue":null,"work_id":"73ee7761-e71a-4842-b79f-c81326fc1746","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.082859Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:e5cafe648ebf307e86dde67b30025f35597bc7ea3fa248714ade3c91cc297341","observation_id":"1739d339-dc32-4299-9b8d-627488795d84","resolution":{"observed_at":"2026-08-07T21:24:16.179981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.164126Z","title":null,"venue":null,"work_id":"e92c6e6a-6f5e-45f4-8ecf-7f75fb1a3139","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.086492Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:45508ade1159c7449d171a7ea42117bf9b3d109c4d8ee8d72cdcfc0ab35fb572","observation_id":"9795ef60-0be8-4a50-989c-8a3ea1e7ded7","resolution":{"observed_at":"2026-08-07T21:24:16.167920Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.152655Z","title":null,"venue":null,"work_id":"e4516074-427f-4585-b839-9f3d2aed6ed5","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.090053Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6a0f83d1be703d56470ffd2e02ff296275367d24ccb255c5425d8437b43fe890","observation_id":"ab973380-6e41-41b5-8b0c-3f2be4440da7","resolution":{"observed_at":"2026-08-07T21:24:16.156531Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.141154Z","title":null,"venue":null,"work_id":"3470c761-4b5a-47ae-8a28-0552d468a127","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.093755Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:bd10404ea9d72bad88dec6e188195ac96d0d21a437ff8c4fadd2bb02f843dd24","observation_id":"36153bed-de51-4214-95ab-987aac97b91f","resolution":{"observed_at":"2026-08-07T21:24:16.144863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13581","last_updated":"2024-05-22T12:21:27Z","snapshot_observed_at":"2026-08-07T15:03:51.692003Z","submitted_at":"2024-05-22T12:21:27Z","title":"Safety Alignment for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13581","snapshot_observed_at":"2026-08-07T21:24:15.097357Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.097357Z"},"links":{"cited_paper":"/paper/2405.13581","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6355fa398734ab874cc7753c5208831f204378381973c71ef6b62da752c1aac7","observation_id":"9527eb5a-91c8-4468-a724-a021aaa76373","resolution":{"observed_at":"2026-08-07T21:24:15.097357Z","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":"2026-08-07T21:24:15.101134Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.101134Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:9ea7c55b8f907ab0d8897ae6d8548b014d625e53ec382f5936155cb1e1a50e7c","observation_id":"fe6e0181-7903-428b-b1c0-014747709797","resolution":{"observed_at":"2026-08-07T21:24:15.101134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.04043","last_updated":"2026-04-20T11:07:35Z","snapshot_observed_at":"2026-08-08T01:55:48.038019Z","submitted_at":"2026-01-07T15:59:07Z","title":"When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.04043","snapshot_observed_at":"2026-08-07T21:24:15.104798Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.104798Z"},"links":{"cited_paper":"/paper/2601.04043","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:f5013ec7a52e766faf5ca9454a4d5ac4cc16c395df7cd0c8afd390f750b85523","observation_id":"1a8f4ecb-6406-4e5c-b810-38f996af8e28","resolution":{"observed_at":"2026-08-07T21:24:15.104798Z","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":"2026-08-07T21:24:15.108762Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.108762Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:7b8c97e65bd18dc638d4936a8f84246443f4a162b186948245eea55ebf93a329","observation_id":"78bd7bb4-b7ff-4d00-839e-1881121d5def","resolution":{"observed_at":"2026-08-07T21:24:15.108762Z","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":"2026-08-07T21:24:16.129577Z","title":null,"venue":null,"work_id":"81d587da-e3a1-43d5-b0bc-f23f3dcdf65b","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.112408Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:f02ab6f38f8728935d5a72473dfe1ec58c573128eae7a954b6bf20467466bb5c","observation_id":"a6ec5f1c-a5dd-4320-be28-d2460dffd4c5","resolution":{"observed_at":"2026-08-07T21:24:16.133347Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.36062","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.554361Z","title":null,"venue":null,"work_id":"e322d576-5f2e-4edb-9fd2-09f4363372b2","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.116047Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:1aa22504dcd847c6cc32ccc5e9ac6880804011446f82bde3ee0fb9dd6a087236","observation_id":"0802f919-2740-494e-a733-56c02c472023","resolution":{"observed_at":"2026-08-07T21:24:15.560406Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02309","last_updated":"2024-02-04T01:29:24Z","snapshot_observed_at":"2026-08-07T07:47:20.838090Z","submitted_at":"2024-02-04T01:29:24Z","title":"Jailbreaking Attack against Multimodal Large Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02309","snapshot_observed_at":"2026-08-07T21:24:15.119613Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.119613Z"},"links":{"cited_paper":"/paper/2402.02309","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:40e5c4695f688ba6f493065b861626d498ba15a8488bd99dbaae5d19021776b3","observation_id":"f3729127-b5f5-46be-b210-979ee62939a9","resolution":{"observed_at":"2026-08-07T21:24:15.119613Z","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":"2026-08-07T21:24:16.117832Z","title":null,"venue":null,"work_id":"87aba2ab-cb87-4194-87b4-802075c0386c","year":2022},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.123587Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:e31e3b26afe0689b737c0c49f8054bf5f2a24ee6dc63e74476db495c60aba4ae","observation_id":"e739da87-f6eb-41cc-b41b-aa9f18c7a9bb","resolution":{"observed_at":"2026-08-07T21:24:16.121581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.105943Z","title":null,"venue":null,"work_id":"0dc68f0a-e96d-42cd-b60b-4cebab405765","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.127224Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:feacd73b599b0b016cbfd875d6a001f848ce9f3a6be358b10fdfe3fcffce12c4","observation_id":"1aca1d97-4264-4ec7-a526-b5721c7b83e5","resolution":{"observed_at":"2026-08-07T21:24:16.109690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.093295Z","title":null,"venue":null,"work_id":"4131d8dd-2670-4e07-8594-f9e5fc28bb55","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.130744Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:4b0f4e049ee13ec6f82c7f3ebc622d050d9a065430de8d9b11f162aa85479162","observation_id":"f7b820b9-fb57-42bb-bde4-034655886210","resolution":{"observed_at":"2026-08-07T21:24:16.097592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.080410Z","title":null,"venue":null,"work_id":"a3265c9b-0673-4177-a7e0-7ebea7d93856","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.134510Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:cf39ed0d558277d6c108e4c7acd343d284c862537c0b202278333b484c880614","observation_id":"6d72a8b4-4908-4f3c-8da3-95f02bffe240","resolution":{"observed_at":"2026-08-07T21:24:16.084270Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.068613Z","title":null,"venue":null,"work_id":"1d122804-6014-4122-bfe6-645b96cdd39b","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.138170Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:00046b7321ed534fa0708c7a8a3d8a5fd8b554adf35d3771461138e7a159d881","observation_id":"f45e3780-ec0d-4869-ba00-b7dc2b4c93cc","resolution":{"observed_at":"2026-08-07T21:24:16.072336Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.056235Z","title":null,"venue":null,"work_id":"38c74065-cc14-46f3-8725-03cc55e66729","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.141820Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:9d3e3baf927b5069168edcc3bf389948d9295d6c0181f01a648a09bf16ca93e5","observation_id":"dc80169e-262c-421a-a6ce-ecf5115a6f31","resolution":{"observed_at":"2026-08-07T21:24:16.060494Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.044585Z","title":null,"venue":null,"work_id":"72041255-8650-41c2-9d8a-2ceff870276d","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.145507Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:902bd9d330a1013954ee429f9908bdf4d28f29d21018610e390d5da7c1477694","observation_id":"788d0ace-0682-43b6-832d-5ffdc0f04e6f","resolution":{"observed_at":"2026-08-07T21:24:16.047989Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.033321Z","title":null,"venue":null,"work_id":"ce89d6bf-f46e-4a58-aff1-b3c838f5596c","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.149073Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:24d21dcce02460f8a41595de93d49b603f5f49aa94a79064c171d8accc48a7c9","observation_id":"55c2191d-ca03-4745-8c7a-7776883bf123","resolution":{"observed_at":"2026-08-07T21:24:16.036749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.152700Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.152700Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:de8d7cb9b2f7bf27c914f08ec779b23b965aff601700f37e5c50a19179aa5dbf","observation_id":"aeb28a5b-1f69-4b62-b55e-570ffc6892ed","resolution":{"observed_at":"2026-08-07T21:24:15.152700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05934","last_updated":"2025-08-18T03:40:02Z","snapshot_observed_at":"2026-08-07T04:08:22.046109Z","submitted_at":"2024-12-08T13:20:45Z","title":"Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05934","snapshot_observed_at":"2026-08-07T21:24:15.156337Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.156337Z"},"links":{"cited_paper":"/paper/2412.05934","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:2cf00b4238847b7642168ec677b8d905bfd55f50da368379b29cec2da3a8aa14","observation_id":"4a5d8560-29a7-43d6-8bd5-fe8cd28c4032","resolution":{"observed_at":"2026-08-07T21:24:15.156337Z","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":"2026-08-07T21:24:16.013667Z","title":null,"venue":null,"work_id":"8ceb8f73-095d-40ea-819c-e7641e861c6a","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.160145Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:1e1d6d07da75513acd36bd1f95e3d1f45ebaee8861120ec787633030ceb4dc39","observation_id":"2db6a7b5-7ee9-4c27-bc6e-95362ef9c30f","resolution":{"observed_at":"2026-08-07T21:24:16.017179Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.002285Z","title":null,"venue":null,"work_id":"ddbb6513-bff3-4d81-ad15-eefba0641370","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.163910Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:020b291481c7adf645613a4b2fae410df2c3d9a28cb65840afc96ad39df604e9","observation_id":"06839fb4-21ac-449e-b790-d1dba91e03a3","resolution":{"observed_at":"2026-08-07T21:24:16.006028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.989032Z","title":null,"venue":null,"work_id":"a5bb36ad-dcff-41a1-9d72-f39b8765cc0d","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.167260Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:8e8ddd144ade9a462f6f92086d0dc6f329ac56352667f612104588eac1482056","observation_id":"8fab5a30-e5b9-4adb-9126-47fb48cdfebe","resolution":{"observed_at":"2026-08-07T21:24:15.993400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.975893Z","title":null,"venue":null,"work_id":"795d92e0-1513-48ba-a2f9-52f2ea756850","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.170409Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6b717dcd41d5f0a357c1298b789b77630ca5a886ce470aeebe6f04e185e6ce0c","observation_id":"0c5ef9a3-7b5b-4167-bc4a-f6f0c6a60971","resolution":{"observed_at":"2026-08-07T21:24:15.979903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.963577Z","title":null,"venue":null,"work_id":"ebcc5f1c-0ebf-4f74-90e2-9f2356ba6e17","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.173480Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:db2b75a82e88ff71e9e16f42aac38c6e1c3eb0ff7240bd03bbdc51721de57c3d","observation_id":"c42bd2b8-475e-4051-b3c0-841b2bc8f6b6","resolution":{"observed_at":"2026-08-07T21:24:15.967715Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.176608Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.176608Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:110dd873967e906c1d7067b7608db28d7f4d47ff58b21f1a569cd7507a387fde","observation_id":"4118665f-9963-4a1a-a887-ae7535b20ba0","resolution":{"observed_at":"2026-08-07T21:24:15.176608Z","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":"2026-08-07T21:24:15.951312Z","title":null,"venue":null,"work_id":"3b843c23-d0ae-4523-957f-6e5b9a51b0dd","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.179735Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:104e1994dfd2c613a84d8b089bb443ab6a4294094b7f42b39d55bdbd02d751ee","observation_id":"7428dfe5-5b14-446d-9b5e-16b01b5461fe","resolution":{"observed_at":"2026-08-07T21:24:15.955261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.939072Z","title":null,"venue":null,"work_id":"0a33e724-85c3-40e0-91f6-a36ecfddf8b2","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.182908Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:c8fdb2cea2ba477de31dde00bc1e1fff14510b766a9bd740bc822c825831ba3b","observation_id":"8dcebebe-faa1-48c9-96fd-dd8e03b14624","resolution":{"observed_at":"2026-08-07T21:24:15.942998Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.926688Z","title":null,"venue":null,"work_id":"11be0ac3-a7e7-4d76-9d3f-01e0684ad092","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.186035Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:632a226724df0e67442c24b738eb17613d7a2e9e56c7bc4627f5175ad066f859","observation_id":"b7de7f82-87bc-4468-add9-e7989af0ea61","resolution":{"observed_at":"2026-08-07T21:24:15.930582Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.189064Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.189064Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:4f6f798b585ffacd514e7efd8ffcf9a62807c802abd8da9ab1069b09d0325192","observation_id":"a17a3690-7f5d-4a49-a503-022f36da291e","resolution":{"observed_at":"2026-08-07T21:24:15.189064Z","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":"2026-08-07T21:24:15.907142Z","title":null,"venue":null,"work_id":"a3a0a35f-c288-4119-b97c-d71c57bf966c","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.192413Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:98c8cfb8b81b2c97a452e67eb0ace8b5fa8cb1887f6c030e468a28e6ff376883","observation_id":"fa815836-5164-46e2-9cea-eb24a8eaf29b","resolution":{"observed_at":"2026-08-07T21:24:15.911058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.894862Z","title":null,"venue":null,"work_id":"eecebe0b-25ea-4c47-9859-de7ee2a2ad67","year":null},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.195516Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:2306c6f8a43af8764edee0a99d3cba7fe32ab2eb09fb354c20fa69599cf83866","observation_id":"9802a49a-6e71-4156-b939-872211e0b585","resolution":{"observed_at":"2026-08-07T21:24:15.898764Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.203192Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.203192Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:7b09b4fefdc82bbceb3799ea5815802cd1410b254dc1a416fff4d94bacb2ee9c","observation_id":"16d82348-cb19-4a33-9daa-8ab6987b5295","resolution":{"observed_at":"2026-08-07T21:24:15.203192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14881","last_updated":"2025-02-14T08:42:43Z","snapshot_observed_at":"2026-08-07T22:02:21.919237Z","submitted_at":"2025-02-14T08:42:43Z","title":"A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14881","snapshot_observed_at":"2026-08-07T21:24:15.199293Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.199293Z"},"links":{"cited_paper":"/paper/2502.14881","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:2e4234333b9e6e49e67bc7d1f0dc9c3dc07fe3aa6b3e6e27b3f6638e951f62ff","observation_id":"bf71718d-308d-4569-8252-31e80ab6fc74","resolution":{"observed_at":"2026-08-07T21:24:15.199293Z","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":"2510.14301","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.381547Z","title":null,"venue":null,"work_id":"2ed3a961-5f71-4c43-8158-665c41814fd0","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.210528Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:dfdaafe74d1e4e74e87f32046b1af97b1676f324991972eb0e97f47dc453a573","observation_id":"ff8f9c09-8fd2-4fe0-bc5c-9d8a9186aa1d","resolution":{"observed_at":"2026-08-07T21:24:15.388597Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.875077Z","title":null,"venue":null,"work_id":"27135337-6686-494c-b433-01d3ad563460","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.206822Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:d2fbcc08cedd354f69a07b251bbe8090b8cbc177c9596cd62761d19af0c2eeac","observation_id":"cb4eddc4-3e1c-4035-80df-14425113bf2d","resolution":{"observed_at":"2026-08-07T21:24:15.879064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.850139Z","title":null,"venue":null,"work_id":"9bb0e2ab-980c-4106-b3da-f18d7fa7c5a4","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.218109Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:38ce9b772b2f9e480eb94fa926217a7b9e9ea031de5445f8dd0c511b17e4af93","observation_id":"4cb5785e-6fa2-4582-bcab-4f9b7cc2b8f7","resolution":{"observed_at":"2026-08-07T21:24:15.854379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.863227Z","title":null,"venue":null,"work_id":"20b72030-e5da-45ce-afa0-efc0ace3965e","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.214249Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:0b8e6be041b66d3662f12e422c4b634d63a8a787d471f0affcc98b962c8bf50c","observation_id":"55dd7870-b66e-4eca-8518-e3498662a271","resolution":{"observed_at":"2026-08-07T21:24:15.867059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.826834Z","title":null,"venue":null,"work_id":"82bfb8cc-b596-442c-b5ef-a128acd0474e","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.225432Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:57216ce54639955b6f56df3e81c23aa0f379bb26fbf5d2903ce5e79b09fb2d81","observation_id":"e8226276-9fa6-41be-829a-8c7daeb9497c","resolution":{"observed_at":"2026-08-07T21:24:15.830354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.838001Z","title":null,"venue":null,"work_id":"66dae926-b465-497a-bde7-1ade9a0d2df2","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.221718Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:c3fd75b529abbad1f77f8cd2db618e849a7f678c5e2240069677d24f6aa78693","observation_id":"48546d23-32ef-45b8-a19a-b43b238b6753","resolution":{"observed_at":"2026-08-07T21:24:15.841341Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.803482Z","title":null,"venue":null,"work_id":"0f06da8c-1d81-4f31-a1e2-b3d06b79f81d","year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.232863Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:3e804f153b6192ea7344b2e493cb28190a0d7ac4f97f449b420768bb0e515ee4","observation_id":"b874daaf-4be9-4215-9c4d-a83c6df63560","resolution":{"observed_at":"2026-08-07T21:24:15.807373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.815611Z","title":null,"venue":null,"work_id":"f5fd4d04-ce92-41cc-af8e-76cc7ce5894d","year":2025},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.229103Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:dc7ff74a7f0d17c3f808f6134156b9c0135bea8a4aed003d2f992def3201b7ba","observation_id":"863cb7fc-da65-44d6-88e0-851ece7f2101","resolution":{"observed_at":"2026-08-07T21:24:15.819112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:15.791309Z","title":null,"venue":null,"work_id":"3d41f741-967a-4616-a250-039ed0f8e784","year":2026},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.240431Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:4614aed21d53f182cb9fbaa36d31573d1a7fed50223479025ceb9d245cc1c4b9","observation_id":"80c4980a-eca3-455a-8405-25ea062597ab","resolution":{"observed_at":"2026-08-07T21:24:15.795260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15043","last_updated":"2023-12-20T20:48:57Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:49:12Z","title":"Universal and Transferable Adversarial Attacks on Aligned Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15043","snapshot_observed_at":"2026-08-07T21:24:15.236433Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.236433Z"},"links":{"cited_paper":"/paper/2307.15043","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:72ead3c458be258121f6875855276a75e6378c12c5fb7cbb88552df42287d5bb","observation_id":"3c1c36b8-9118-4dda-a304-c918ea7a5d38","resolution":{"observed_at":"2026-08-07T21:24:15.236433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02534","last_updated":"2024-08-26T22:56:28Z","snapshot_observed_at":"2026-07-06T18:40:31.586903Z","submitted_at":"2024-07-01T16:58:55Z","title":"Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02534","snapshot_observed_at":"2026-08-07T21:24:15.244128Z","title":"[Refusal]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.244128Z"},"links":{"cited_paper":"/paper/2407.02534","citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:cea4285434f898c0a9ec440f7c8b4a15c419609bf6900a15ee75908bd9ba76f7","observation_id":"cc38e843-21cf-425b-b681-5a0dd90ca637","resolution":{"observed_at":"2026-08-07T21:24:15.244128Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T21:24:16.324684Z","title":null,"venue":null,"work_id":"a6ace2ce-0236-4fd4-a424-d3704f77a84e","year":null},"citing_paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T21:24:15.026448Z"},"links":{"citing_paper":"/paper/2608.05909"},"observation_digest":"sha256:6c229c7d7f0bc312c562a965be3d6e7af2c31840343aa2c954a735a1c7625f63","observation_id":"2ba07d32-fcbf-4e65-8226-a00fc3826f39","resolution":{"observed_at":"2026-08-07T21:24:16.328574Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.05909","last_updated":"2026-08-06T11:39:08Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-08T08:17:27.115658Z","submitted_at":"2026-08-06T11:39:08Z","title":"MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":69,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":73},"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 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2608.05909."}