{"as_of":"2026-08-14T12:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18f994b1582b8c108a58705e51c662f1c2b434d7f8ba4f71c50bf2e810ed2991","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T23:32:59.109998Z","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":"2026-07-02T02:36:26.725591Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19493","snapshot_observed_at":"2026-08-04T23:32:59.109998Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08008","last_updated":"2025-09-08T10:56:07Z","snapshot_observed_at":"2026-08-12T23:52:08.338822Z","submitted_at":"2025-09-08T10:56:07Z","title":"A New Dataset and Benchmark for Grounding Multimodal Misinformation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T23:32:59.109998Z"},"links":{"cited_paper":"/paper/2407.19493","citing_paper":"/paper/2509.08008"},"observation_digest":"sha256:8b5dfd1d0002d7ed18d495f3e16434bead5c1bd9897c3bc73a13aa2abea09b9a","observation_id":"127e9a19-8993-41a8-b31b-061cd428addd","resolution":{"observed_at":"2026-08-04T23:32:59.109998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection","version":3},"cited_work":{"arxiv_id":"2407.19493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19493","snapshot_observed_at":"2026-07-02T02:36:26.725591Z","title":"In2021 IEEE in- ternational conference on big data (big data), pages 899–908","venue":null,"work_id":"e6c07c60-5e2c-4537-abc3-0a35c253aec8","year":2024},"citing_paper":{"arxiv_id":"2601.06600","last_updated":"2026-06-05T03:30:37Z","snapshot_observed_at":"2026-08-13T19:39:47.237757Z","submitted_at":"2026-01-10T15:43:30Z","title":"Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T15:01:44.009847Z"},"links":{"cited_paper":"/paper/2407.19493","citing_paper":"/paper/2601.06600"},"observation_digest":"sha256:e26f89f721d9c3813adc349415ee96ac949e7bae662cada3407f070795fb8280","observation_id":"f99b3c7e-df8f-4396-af0d-e3fe6ffff868","resolution":{"observed_at":"2026-05-16T15:03:00.957353Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection","version":3},"cited_work":{"arxiv_id":"2407.19493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19493","snapshot_observed_at":"2026-07-02T02:36:26.725591Z","title":"In2021 IEEE in- ternational conference on big data (big data), pages 899–908","venue":null,"work_id":"e6c07c60-5e2c-4537-abc3-0a35c253aec8","year":2024},"citing_paper":{"arxiv_id":"2601.06600","last_updated":"2026-06-05T03:30:37Z","snapshot_observed_at":"2026-08-13T19:39:47.237757Z","submitted_at":"2026-01-10T15:43:30Z","title":"Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T15:13:03.877577Z"},"links":{"cited_paper":"/paper/2407.19493","citing_paper":"/paper/2601.06600"},"observation_digest":"sha256:1aa017ddfa196bfc0fb482ea506c870684e8b62da363e984145e870e5e3d6599","observation_id":"714d9a20-06fd-4b09-bc37-f075aa0dde1c","resolution":{"observed_at":"2026-05-21T15:14:13.341205Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19493","snapshot_observed_at":"2026-08-03T11:26:37.262309Z","title":"In2021 IEEE in- ternational conference on big data (big data), pages 899–908","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.06600","last_updated":"2026-06-05T03:30:37Z","snapshot_observed_at":"2026-08-13T19:39:47.237757Z","submitted_at":"2026-01-10T15:43:30Z","title":"Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation","version":4},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T11:26:37.262309Z"},"links":{"cited_paper":"/paper/2407.19493","citing_paper":"/paper/2601.06600"},"observation_digest":"sha256:2258298bdce61d067ed9f2d05cc5329d82ce816771a1fe9d1858fc2cb74d8c1f","observation_id":"6e7d8019-8d43-474b-b78c-84116a03e54d","resolution":{"observed_at":"2026-08-03T11:26:37.262309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection","version":3},"cited_work":{"arxiv_id":"2407.19493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.19493","snapshot_observed_at":"2026-07-02T02:36:26.725591Z","title":"In2021 IEEE in- ternational conference on big data (big data), pages 899–908","venue":null,"work_id":"e6c07c60-5e2c-4537-abc3-0a35c253aec8","year":2024},"citing_paper":{"arxiv_id":"2606.04098","last_updated":"2026-06-02T18:03:35Z","snapshot_observed_at":"2026-08-08T13:41:30.028279Z","submitted_at":"2026-06-02T18:03:35Z","title":"When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T10:50:44.514251Z"},"links":{"cited_paper":"/paper/2407.19493","citing_paper":"/paper/2606.04098"},"observation_digest":"sha256:677dacaba7b7c8ac93ec44a0ee1c1a664bbf1506c12ddad2336fa1e46cd26a3b","observation_id":"6b3b7810-be78-4d9a-be1a-3cb4362f9d03","resolution":{"observed_at":"2026-07-02T02:36:26.732894Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.19493/citation-record","integrity":"/paper/2407.19493/integrity","json":"/paper/2407.19493/citation-record.json","paper":"/paper/2407.19493"},"outbound":[],"paper":{"arxiv_id":"2407.19493","last_updated":"2024-12-27T10:34:15Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:13:26.241123Z","submitted_at":"2024-07-28T13:23:43Z","title":"Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.19493."}