{"as_of":"2026-08-09T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87c2a884b2a9d1a8e16e39791dde68e200bb6ed3752110f4c7feb64c830ff7b4","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:45:20.041988Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T07:29:39.438493Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-08-07T19:45:20.041988Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":null,"year":2024},"citing_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},"reference_index":160,"source":"pdf_text","source_observed_at":"2026-08-07T19:45:20.041988Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2502.14881"},"observation_digest":"sha256:e4044b096499e68fa51fd441503c34faada259b47b719a239446dcda163fa8ce","observation_id":"dc1d4cc0-e2f8-4ca9-ab34-28291416557f","resolution":{"observed_at":"2026-08-07T19:45:20.041988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-08-07T14:13:12.324886Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20362","last_updated":"2025-05-26T09:01:46Z","snapshot_observed_at":"2026-08-07T14:05:21.829543Z","submitted_at":"2025-05-26T09:01:46Z","title":"VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T14:13:12.324886Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2505.20362"},"observation_digest":"sha256:a7fb63409416deb46c9aea8230515cb476d8fe936dbdb951db9cf571a7f002d7","observation_id":"2335c84e-1709-42ae-983a-0070b3ad436f","resolution":{"observed_at":"2026-08-07T14:13:12.324886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-08-07T14:15:14.833561Z","title":"MOSSBench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23793","last_updated":"2025-05-26T08:39:14Z","snapshot_observed_at":"2026-08-08T01:18:19.713600Z","submitted_at":"2025-05-26T08:39:14Z","title":"USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:14.833561Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2505.23793"},"observation_digest":"sha256:5b537f3e8ffdea544bce29a176fc58f2b8aa8b790e69ae45e5f9a085db44869a","observation_id":"b48dfcef-a75e-4f09-bc53-c11b55f00d6b","resolution":{"observed_at":"2026-08-07T14:15:14.833561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":"2406.17806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-07-04T07:29:39.438493Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":"e1ab34b5-c124-496b-9b19-1cb55e805467","year":2024},"citing_paper":{"arxiv_id":"2508.11222","last_updated":"2025-12-05T05:36:55Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-15T05:03:26Z","title":"ORFuzz: Fuzzing the \"Other Side\" of LLM Safety -- Testing Over-Refusal","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T23:27:52.438709Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2508.11222"},"observation_digest":"sha256:48e068bd54d0f2b775e9a699016efb556e5bcc3d30a933f2fac83994dfb0c4d0","observation_id":"5bf4058d-6ff7-4787-ba6b-0bf388df51a8","resolution":{"observed_at":"2026-05-18T23:31:54.525017Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":"2406.17806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-07-04T07:29:39.438493Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":"e1ab34b5-c124-496b-9b19-1cb55e805467","year":2024},"citing_paper":{"arxiv_id":"2604.08846","last_updated":"2026-04-10T01:01:56Z","snapshot_observed_at":"2026-08-02T14:54:38.934183Z","submitted_at":"2026-04-10T01:01:56Z","title":"Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T18:04:05.157103Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2604.08846"},"observation_digest":"sha256:c93edfca192afc2bf9c1333454b85c04cadf0e726950c76fe4c2548321ed761e","observation_id":"a20cbdb3-039b-45da-8e39-2b743bc0d66b","resolution":{"observed_at":"2026-05-11T05:35:57.449993Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":"2406.17806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-07-04T07:29:39.438493Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":"e1ab34b5-c124-496b-9b19-1cb55e805467","year":2024},"citing_paper":{"arxiv_id":"2605.11716","last_updated":"2026-05-12T08:05:10Z","snapshot_observed_at":"2026-07-06T23:23:30.499023Z","submitted_at":"2026-05-12T08:05:10Z","title":"SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-13T06:56:10.053418Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2605.11716"},"observation_digest":"sha256:80d6299346d0a52dff19fc0a998c27e027d01639605c96817a926870bc98e03f","observation_id":"750b19ee-79dd-42d9-8686-5305490996d1","resolution":{"observed_at":"2026-05-13T06:57:27.607216Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":"2406.17806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-07-04T07:29:39.438493Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":"e1ab34b5-c124-496b-9b19-1cb55e805467","year":2024},"citing_paper":{"arxiv_id":"2605.16386","last_updated":"2026-05-11T15:37:24Z","snapshot_observed_at":"2026-08-02T14:15:08.565756Z","submitted_at":"2026-05-11T15:37:24Z","title":"Auditing Multimodal LLM Raters: Central Tendency Bias in Clinical Ordinal Scoring","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T22:38:17.939704Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2605.16386"},"observation_digest":"sha256:5b0b9106cca5c55cf5fcfa87497731c9ea29980779fdb6f24cdfa3df99aa9fd9","observation_id":"0a994371-8262-4f02-857a-0bbed69c171c","resolution":{"observed_at":"2026-05-20T22:39:09.819823Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":"2406.17806","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-07-04T07:29:39.438493Z","title":"Mossbench: Is your multimodal language model oversensitive to safe queries?","venue":null,"work_id":"e1ab34b5-c124-496b-9b19-1cb55e805467","year":2024},"citing_paper":{"arxiv_id":"2606.21147","last_updated":"2026-06-19T06:37:32Z","snapshot_observed_at":"2026-07-06T23:56:12.374739Z","submitted_at":"2026-06-19T06:37:32Z","title":"AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries?","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-26T13:22:12.541923Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2606.21147"},"observation_digest":"sha256:6dcadde8e038017ca197eb4a997426273a42aa1536a2fa3a412b9eac2a6f0c0c","observation_id":"3a67d623-c920-4217-9c14-e51f9e3067fb","resolution":{"observed_at":"2026-07-04T07:29:39.439889Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-08-02T15:03:00.136710Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21600","last_updated":"2026-05-03T19:21:06Z","snapshot_observed_at":"2026-08-06T09:31:16.482834Z","submitted_at":"2026-05-03T19:21:06Z","title":"Securing Multimodal AI through Internal Information Decomposition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T15:03:00.136710Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2607.21600"},"observation_digest":"sha256:9f807fb277e4380207ff193a498635c1055c89adfc989c606d866adc76583591","observation_id":"61c847a2-bb09-4873-9bf1-2e5d82d57f48","resolution":{"observed_at":"2026-08-02T15:03:00.136710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17806","snapshot_observed_at":"2026-08-02T10:20:56.079722Z","title":"arXiv preprint arXiv:2406.17806 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22643","last_updated":"2026-06-24T02:40:49Z","snapshot_observed_at":"2026-08-08T03:20:50.943223Z","submitted_at":"2026-06-24T02:40:49Z","title":"Reason Before You Retrieve: Agentic Planning for Multi-modal RAG","version":1},"reference_index":112,"source":"arxiv_source","source_observed_at":"2026-08-02T10:20:56.079722Z"},"links":{"cited_paper":"/paper/2406.17806","citing_paper":"/paper/2607.22643"},"observation_digest":"sha256:d79a4447d15460e04a2c704e183e72a7e312698654d9a80ce266eb2a1126b13a","observation_id":"2bd241c8-8b8f-413a-822c-87815f35815d","resolution":{"observed_at":"2026-08-02T10:20:56.079722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.17806/citation-record","integrity":"/paper/2406.17806/integrity","json":"/paper/2406.17806/citation-record.json","paper":"/paper/2406.17806"},"outbound":[],"paper":{"arxiv_id":"2406.17806","last_updated":"2024-06-22T23:26:07Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T08:02:33.549458Z","submitted_at":"2024-06-22T23:26:07Z","title":"MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.17806."}