{"as_of":"2026-08-09T16:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b3e895404f2fa754342c7ef962057abaeea0d892bdb5f1e76aed5ee689c4917","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":"2026-08-07T15:42:32.944514Z","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":"2026-05-23T20:13:24.851981Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2406.11193","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":"f4e4a2bf-b895-4921-b285-f05ced042360","year":2024},"citing_paper":{"arxiv_id":"2410.04509","last_updated":"2026-04-20T02:03:24Z","snapshot_observed_at":"2026-08-02T21:14:32.237997Z","submitted_at":"2024-10-06T14:59:09Z","title":"ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-23T20:10:59.264484Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2410.04509"},"observation_digest":"sha256:37789cd265445c5afe0fda82ad9770ec162d41da555456fc49efeefe7e1348b2","observation_id":"ec757e1c-078f-417a-9525-dc588045b480","resolution":{"observed_at":"2026-05-23T20:13:24.854814Z","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":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2406.11193","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":"f4e4a2bf-b895-4921-b285-f05ced042360","year":2024},"citing_paper":{"arxiv_id":"2502.02871","last_updated":"2026-04-20T02:18:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-05T04:05:27Z","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-23T04:30:38.804702Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2502.02871"},"observation_digest":"sha256:7c7b775f18369d7354646b8ec9f13f442115e7ed9d72ca2681b40ae84c438262","observation_id":"98665609-4877-49f6-9baf-5a61320acb0f","resolution":{"observed_at":"2026-05-23T04:32:33.033827Z","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":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-08-07T15:42:32.944514Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13965","last_updated":"2025-05-20T06:05:56Z","snapshot_observed_at":"2026-08-09T01:02:45.725414Z","submitted_at":"2025-05-20T06:05:56Z","title":"CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:32.944514Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2505.13965"},"observation_digest":"sha256:b0e6926d6cf90a4af410c50bc973e30cc46ea65195ed0ef4927390ab12471376","observation_id":"55474c97-f73c-4e18-9233-3692887f7d84","resolution":{"observed_at":"2026-08-07T15:42:32.944514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-08-07T15:39:17.150962Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14406","last_updated":"2025-09-09T05:59:48Z","snapshot_observed_at":"2026-08-08T09:33:42.546942Z","submitted_at":"2025-05-20T14:20:30Z","title":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T15:39:17.150962Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2505.14406"},"observation_digest":"sha256:852db1aa476c2c09cfd67e6b29442b15fcda9a96fe979f8c10ccec095f3d3a95","observation_id":"6ac99bcf-47fe-48fb-afea-630648d13079","resolution":{"observed_at":"2026-08-07T15:39:17.150962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-08-07T13:43:20.968904Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21191","last_updated":"2025-05-27T13:40:28Z","snapshot_observed_at":"2026-08-09T03:47:08.331722Z","submitted_at":"2025-05-27T13:40:28Z","title":"Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:43:20.968904Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2505.21191"},"observation_digest":"sha256:a826909a920f2bd24a5e175f581f4babb82af9cce1e241685f1e9c4e7c94cf5b","observation_id":"31f9d87e-d882-4a80-ba01-56ad74eef97c","resolution":{"observed_at":"2026-08-07T13:43:20.968904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-08-06T00:59:51.923731Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04088","last_updated":"2025-08-07T03:52:48Z","snapshot_observed_at":"2026-08-08T12:10:28.774282Z","submitted_at":"2025-08-06T05:10:29Z","title":"GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T00:59:51.923731Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2508.04088"},"observation_digest":"sha256:c5f3f694c4cd98845f0a01df8deb7b01b5e6bf61c81deac8faa5b44cf9954ec5","observation_id":"b80ee75d-47df-4ed5-b0bd-29e4725c57f1","resolution":{"observed_at":"2026-08-06T00:59:51.923731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-08-05T20:02:29.354181Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.15810","last_updated":"2025-08-15T08:41:33Z","snapshot_observed_at":"2026-08-09T10:51:39.950687Z","submitted_at":"2025-08-15T08:41:33Z","title":"Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T20:02:29.354181Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2508.15810"},"observation_digest":"sha256:c2eddbeaa4b846565dc6e4bb9341e9d612ccca6e4aa5cee4b5a7eef94b69a8a7","observation_id":"7f8c22c8-3c40-4aa4-aa10-db526f47e39f","resolution":{"observed_at":"2026-08-05T20:02:29.354181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2406.11193","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":"f4e4a2bf-b895-4921-b285-f05ced042360","year":2024},"citing_paper":{"arxiv_id":"2509.14837","last_updated":"2026-04-27T11:07:26Z","snapshot_observed_at":"2026-07-06T22:30:11.897367Z","submitted_at":"2025-09-18T10:58:34Z","title":"V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-18T16:21:20.463222Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2509.14837"},"observation_digest":"sha256:5cdf904ad9900c44a77f92be271190f412c0e404cbfb646c13ca9fdc2b404e5a","observation_id":"dd759411-031f-4498-8160-aa9662391f01","resolution":{"observed_at":"2026-05-18T16:21:36.512882Z","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":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2406.11193","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":"f4e4a2bf-b895-4921-b285-f05ced042360","year":2024},"citing_paper":{"arxiv_id":"2605.04641","last_updated":"2026-07-29T07:14:27Z","snapshot_observed_at":"2026-08-02T23:57:54.502941Z","submitted_at":"2026-05-06T08:32:30Z","title":"CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-08T18:05:38.705480Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2605.04641"},"observation_digest":"sha256:dae0ee13cb08d5a2966f198fbe7bc8ed7211963ec40b9dc8be88ae44e669814e","observation_id":"f14c250a-f249-4979-8a51-3211ff8cc741","resolution":{"observed_at":"2026-05-09T06:50:40.242793Z","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":"2406.11193","last_updated":"2024-10-01T17:04:22Z","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2406.11193","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mmneuron: Discovering neuron-level domain-specific interpretation in multimodal large language model","venue":null,"work_id":"f4e4a2bf-b895-4921-b285-f05ced042360","year":2024},"citing_paper":{"arxiv_id":"2605.05909","last_updated":"2026-05-07T09:18:58Z","snapshot_observed_at":"2026-07-06T23:18:26.864785Z","submitted_at":"2026-05-07T09:18:58Z","title":"Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T11:06:45.175766Z"},"links":{"cited_paper":"/paper/2406.11193","citing_paper":"/paper/2605.05909"},"observation_digest":"sha256:435331b5ce6867c2ceb7a7984b8009ec6dd18dee78da35e35ae475886cd477bb","observation_id":"baf58f8e-db87-455d-97e7-9cb6ec747a43","resolution":{"observed_at":"2026-05-11T19:46:08.376663Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.11193/citation-record","integrity":"/paper/2406.11193/integrity","json":"/paper/2406.11193/citation-record.json","paper":"/paper/2406.11193"},"outbound":[],"paper":{"arxiv_id":"2406.11193","last_updated":"2024-10-01T17:04:22Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:31:57.866202Z","submitted_at":"2024-06-17T03:59:44Z","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model"},"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:2406.11193."}