{"as_of":"2026-08-07T01:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5bb407ccb5692558ced6cf9f39bd4817f1bb0faff7c21b00f22ef4efe923145c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T02:39:02.891861Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T10:06:02.759122Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07594","last_updated":"2024-06-13T11:22:15Z","snapshot_observed_at":"2026-08-05T13:28:26.992369Z","submitted_at":"2024-06-11T13:41:33Z","title":"MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":"2406.07594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07594","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f877b80a-e595-4fd3-ad11-6a5b814c4867","year":2024},"citing_paper":{"arxiv_id":"2605.01758","last_updated":"2026-05-14T12:12:16Z","snapshot_observed_at":"2026-07-06T23:14:57.459903Z","submitted_at":"2026-05-03T07:38:42Z","title":"Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T15:39:32.595169Z"},"links":{"cited_paper":"/paper/2406.07594","citing_paper":"/paper/2605.01758"},"observation_digest":"sha256:2a76a019b9b6be8ac8c400ef41bdaf7e9646eda34ccabdd2e6c7062fd650ca90","observation_id":"c4221830-532f-4707-8d1e-462251cd6118","resolution":{"observed_at":"2026-05-11T10:06:02.766023Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07594","last_updated":"2024-06-13T11:22:15Z","snapshot_observed_at":"2026-08-05T13:28:26.992369Z","submitted_at":"2024-06-11T13:41:33Z","title":"MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":"2406.07594","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.07594","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f877b80a-e595-4fd3-ad11-6a5b814c4867","year":2024},"citing_paper":{"arxiv_id":"2605.01758","last_updated":"2026-05-14T12:12:16Z","snapshot_observed_at":"2026-07-06T23:14:57.459903Z","submitted_at":"2026-05-03T07:38:42Z","title":"Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T01:46:54.430546Z"},"links":{"cited_paper":"/paper/2406.07594","citing_paper":"/paper/2605.01758"},"observation_digest":"sha256:a6150677a2dffeaa01527d897e63a3e15ff4d2d90c68f5bd567873287a83d976","observation_id":"093dfade-8fb9-4e5e-a7f0-01d85d38a1fa","resolution":{"observed_at":"2026-05-11T04:20:58.145273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07594","last_updated":"2024-06-13T11:22:15Z","snapshot_observed_at":"2026-08-05T13:28:26.992369Z","submitted_at":"2024-06-11T13:41:33Z","title":"MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07594","snapshot_observed_at":"2026-07-13T02:39:02.891861Z","title":"Mllmguard: A multi-dimensional safety evaluation suite for multimodal large language models.arXiv preprint arXiv:2406.07594, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09492","last_updated":"2026-07-10T15:06:48Z","snapshot_observed_at":"2026-08-02T02:14:15.956064Z","submitted_at":"2026-07-10T15:06:48Z","title":"Multimodal Reward Hacking in Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-13T02:39:02.891861Z"},"links":{"cited_paper":"/paper/2406.07594","citing_paper":"/paper/2607.09492"},"observation_digest":"sha256:0754109bf794ac77939d60e4ccddba47561b36ba4e2601bdcca3b366a2f920db","observation_id":"e86380e1-428a-4313-a5db-658686382711","resolution":{"observed_at":"2026-07-13T02:39:02.891861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07594/citation-record","integrity":"/paper/2406.07594/integrity","json":"/paper/2406.07594/citation-record.json","paper":"/paper/2406.07594"},"outbound":[],"paper":{"arxiv_id":"2406.07594","last_updated":"2024-06-13T11:22:15Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T13:28:26.992369Z","submitted_at":"2024-06-11T13:41:33Z","title":"MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.07594."}