{"as_of":"2026-08-09T13:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dbf90b1fd8d493edc24855039cb30227ad804c24665555316d6c390b21753114","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":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:02:55.925858Z","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":"2026-07-04T03:49:30.450433Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2411.16771","last_updated":"2026-04-23T13:21:19Z","snapshot_observed_at":"2026-08-02T03:20:43.405143Z","submitted_at":"2024-11-25T06:17:23Z","title":"VidHal: Benchmarking Temporal Hallucinations in Vision LLMs","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-23T16:57:12.821916Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2411.16771"},"observation_digest":"sha256:cb9556e32cb9b49b5bfd24e534a6044add6623345c96a611b7d52bd8554e2374","observation_id":"4a6fa07c-a059-48cd-8ecf-06ad266367d1","resolution":{"observed_at":"2026-05-23T16:58:12.105188Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2503.12605","last_updated":"2025-03-23T13:47:43Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-16T18:39:13Z","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","version":2},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-05-15T17:18:52.996467Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2503.12605"},"observation_digest":"sha256:0667c45e6df7de21ef29324e49a9d27c20fd0f65a4f6ad1fa455cd341a035f4e","observation_id":"de196700-7955-47f1-8588-7ca9e4639a40","resolution":{"observed_at":"2026-05-15T17:18:53.288687Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-08-07T14:02:55.925858Z","title":"Avhbench: A cross-modal hallucination benchmark for audio-visual large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20256","last_updated":"2025-05-26T17:34:06Z","snapshot_observed_at":"2026-08-07T13:53:51.495895Z","submitted_at":"2025-05-26T17:34:06Z","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:55.925858Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2505.20256"},"observation_digest":"sha256:878b0344413bc453c91d2140b3a2b815159999cbd222a646e6161629bacda2c6","observation_id":"ec44756a-9734-4793-b05a-a27563163f71","resolution":{"observed_at":"2026-08-07T14:02:55.925858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-08-07T05:49:53.606246Z","title":"Avhbench: A cross-modal hallucination benchmark for audio-visual large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07016","last_updated":"2025-06-13T19:05:47Z","snapshot_observed_at":"2026-08-08T12:14:39.714543Z","submitted_at":"2025-06-08T06:34:29Z","title":"MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks","version":2},"reference_index":125,"source":"pdf_text","source_observed_at":"2026-08-07T05:49:53.606246Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2506.07016"},"observation_digest":"sha256:a1184ccc4c1b505c11e8723cf09a4d34c70f97b4ba54bfefed850458046712be","observation_id":"c4f3000a-1d19-4b8c-a5ac-83e29c7b5dbf","resolution":{"observed_at":"2026-08-07T05:49:53.606246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-08-04T12:38:58.958481Z","title":"Avhbench: A cross-modal hallucination benchmark for audio-visual large language models.arXiv preprint arXiv:2410.18325,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.03117","last_updated":"2026-06-26T03:58:11Z","snapshot_observed_at":"2026-08-07T05:08:17.345661Z","submitted_at":"2025-10-03T15:43:56Z","title":"Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T12:38:58.958481Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2510.03117"},"observation_digest":"sha256:48de95ebc7347469f8be2daa909fb1762ec4847815a428a338477e393950938b","observation_id":"89fd54c6-55f7-4915-982e-afac26dd7711","resolution":{"observed_at":"2026-08-04T12:38:58.958481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2510.15148","last_updated":"2026-04-04T21:55:10Z","snapshot_observed_at":"2026-07-06T22:32:51.756468Z","submitted_at":"2025-10-16T21:10:22Z","title":"XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T05:45:07.700571Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2510.15148"},"observation_digest":"sha256:dba9a029b624f6e34b73010b70afad2ca7a28a930fd8d66de98ceb8a70d2e50f","observation_id":"4c463224-8582-4896-ad08-9f122ff28b64","resolution":{"observed_at":"2026-05-18T05:45:56.166828Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2604.02605","last_updated":"2026-04-03T00:48:49Z","snapshot_observed_at":"2026-07-31T12:45:01.220506Z","submitted_at":"2026-04-03T00:48:49Z","title":"Do Audio-Visual Large Language Models Really See and Hear?","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-13T20:56:19.815569Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2604.02605"},"observation_digest":"sha256:ff7ce2fd7bf58edc91d22eedbb471835a2fd3b7af58ae52e818768a51e6f2519","observation_id":"3129e8e4-f223-4896-8319-e0b11ab759f3","resolution":{"observed_at":"2026-05-13T20:58:15.828018Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2604.03995","last_updated":"2026-04-05T06:32:08Z","snapshot_observed_at":"2026-07-06T22:53:01.835843Z","submitted_at":"2026-04-05T06:32:08Z","title":"A Systematic Study of Cross-Modal Typographic Attacks on Audio-Visual Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T17:34:10.089555Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2604.03995"},"observation_digest":"sha256:981419ae191381c1cc859bd655eeb02cc1357024babe05e0b49ad1742e18beab","observation_id":"2577d76c-02bb-4687-a202-108c5ef550f7","resolution":{"observed_at":"2026-05-13T17:38:02.919961Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2604.14129","last_updated":"2026-04-15T17:51:28Z","snapshot_observed_at":"2026-07-06T23:02:00.082783Z","submitted_at":"2026-04-15T17:51:28Z","title":"Don't Let the Video Speak: Audio-Contrastive Preference Optimization for Audio-Visual Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T13:57:47.356373Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2604.14129"},"observation_digest":"sha256:ba25d26e609bec9d5bfcc1079dc9342c593ada9509ff796bbc28f3722db31cb9","observation_id":"b7ce29ad-8a3d-4a3d-9735-34d282e58704","resolution":{"observed_at":"2026-05-10T14:00:28.999729Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2604.14520","last_updated":"2026-04-16T01:21:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T01:21:14Z","title":"Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T12:05:54.551728Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2604.14520"},"observation_digest":"sha256:f8b9416c6320a3ea1ba72b30a22a33b1bf3416ea5de75577387901eb587c3ec3","observation_id":"e5ae92b7-c40a-42c6-8ebc-8910b5b50601","resolution":{"observed_at":"2026-05-10T12:10:22.156140Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2604.16902","last_updated":"2026-04-29T05:22:54Z","snapshot_observed_at":"2026-08-02T23:46:35.225613Z","submitted_at":"2026-04-18T08:25:52Z","title":"Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-10T07:02:02.752466Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2604.16902"},"observation_digest":"sha256:9689eb67ab246b09cc12f1b6bcd4b79809c2ebd000675c70264d89bf98acab08","observation_id":"025e6ffd-5637-4a80-b4cb-f288c2b5b0a0","resolution":{"observed_at":"2026-05-10T07:11:53.746341Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2605.07593","last_updated":"2026-05-08T11:06:43Z","snapshot_observed_at":"2026-07-06T23:19:56.415523Z","submitted_at":"2026-05-08T11:06:43Z","title":"TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-11T01:53:01.939765Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2605.07593"},"observation_digest":"sha256:159b4740203b81f17ad1cef3d5ef15d10121c57a97023386504e81af8979ef81","observation_id":"0ae14557-2be6-4270-b536-9391d3b4ea03","resolution":{"observed_at":"2026-05-11T04:15:56.478938Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2606.07643","last_updated":"2026-06-01T19:12:09Z","snapshot_observed_at":"2026-08-04T07:32:54.888878Z","submitted_at":"2026-06-01T19:12:09Z","title":"AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T14:36:53.295540Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2606.07643"},"observation_digest":"sha256:affc358f41b6e206cd12a3b4e91d8bdbd4d70ee096adf4ea3a0dc000364559e7","observation_id":"42dd175d-8b13-42fd-a150-27dbe2c49a27","resolution":{"observed_at":"2026-07-01T23:06:21.375774Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2606.20970","last_updated":"2026-06-18T22:17:18Z","snapshot_observed_at":"2026-08-01T20:10:55.070907Z","submitted_at":"2026-06-18T22:17:18Z","title":"CogniRoute: Learning to Route Social Evidence in Omni-Modal Models","version":1},"reference_index":122,"source":"arxiv_source","source_observed_at":"2026-06-26T17:37:11.371892Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2606.20970"},"observation_digest":"sha256:67ada6160be71c14186547b282e75fbcaff3452bcaabed1de9d0794f4ba2a69f","observation_id":"2953b6ce-48c4-4a9a-979c-03cf2709848c","resolution":{"observed_at":"2026-07-04T03:49:30.453310Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2606.30059","last_updated":"2026-06-29T09:52:50Z","snapshot_observed_at":"2026-08-06T14:53:37.412523Z","submitted_at":"2026-06-29T09:52:50Z","title":"From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T07:15:47.056229Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2606.30059"},"observation_digest":"sha256:324ea76c9a5105ea21071a1d5492d7fe410929c471db9b56b80dae70c8c3dfe3","observation_id":"e7b61daa-5d64-4c78-b4c5-7e78914a2a8c","resolution":{"observed_at":"2026-06-30T07:24:21.904423Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.18325","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-07-04T03:49:30.450433Z","title":"Avhbench: A cross- modal hallucination benchmark for audio-visual large lan- guage models","venue":null,"work_id":"d4409601-3047-443b-878a-0e06b47f611a","year":2025},"citing_paper":{"arxiv_id":"2607.00247","last_updated":"2026-08-02T10:40:21Z","snapshot_observed_at":"2026-08-06T23:24:46.404599Z","submitted_at":"2026-06-30T22:55:22Z","title":"Adaptive Perturbation Selection for Contrastive Audio Decoding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-02T16:59:50.615875Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2607.00247"},"observation_digest":"sha256:2687ee6773012ab1fe4a527aacd39325d2b7eb972a48598080d60eb31ee9f858","observation_id":"e58dcf26-9c76-4ee4-8165-d7636a993709","resolution":{"observed_at":"2026-07-02T17:07:12.176193Z","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":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-08-04T04:34:51.366730Z","title":"Avhbench: A cross-modal hallucination benchmark for audio-visual large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.00247","last_updated":"2026-08-02T10:40:21Z","snapshot_observed_at":"2026-08-06T23:24:46.404599Z","submitted_at":"2026-06-30T22:55:22Z","title":"Adaptive Perturbation Selection for Contrastive Audio Decoding","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T04:34:51.366730Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2607.00247"},"observation_digest":"sha256:ec3492d3b08860f66f35ff8693121984bf258c0423e04da67a560a8dcbf0f714","observation_id":"81a73ab0-5f3d-4fcb-bb73-897a73c00d2e","resolution":{"observed_at":"2026-08-04T04:34:51.366730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18325","snapshot_observed_at":"2026-08-01T07:12:16.095101Z","title":"arXiv preprint arXiv:2410.18325 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21550","last_updated":"2026-07-23T17:35:20Z","snapshot_observed_at":"2026-08-08T08:48:36.880078Z","submitted_at":"2026-07-23T17:35:20Z","title":"X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-01T07:12:16.095101Z"},"links":{"cited_paper":"/paper/2410.18325","citing_paper":"/paper/2607.21550"},"observation_digest":"sha256:2f2e1bfddcf757d5781bd5fdcc0adc9a6a813a99d35df6750ecf89b5f7b24c03","observation_id":"4125ddc8-3dcc-4bea-9ca8-136e363c02fe","resolution":{"observed_at":"2026-08-01T07:12:16.095101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.18325/citation-record","integrity":"/paper/2410.18325/integrity","json":"/paper/2410.18325/citation-record.json","paper":"/paper/2410.18325"},"outbound":[],"paper":{"arxiv_id":"2410.18325","last_updated":"2025-03-17T08:14:35Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T07:32:52.841771Z","submitted_at":"2024-10-23T23:36:06Z","title":"AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual 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":"2026-08-09T06:31:02.800959+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 18 inbound Pith citation observations for arXiv:2410.18325."}