{"as_of":"2026-08-14T23:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d4c4ad61e6cd6205b7e3df86db2627e5a6f06f8c9b6febb1000692c03173691","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:31:59.629310Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-12T15:31:59.629310Z","title":"Dockylin: A large multimodal model for visual document understanding with efficient visual slim- ming","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14164","last_updated":"2024-11-21T14:22:38Z","snapshot_observed_at":"2026-08-13T22:22:43.224763Z","submitted_at":"2024-11-21T14:22:38Z","title":"FoPru: Focal Pruning for Efficient Large Vision-Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:31:59.629310Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2411.14164"},"observation_digest":"sha256:ef6398ae9c200a18bb78e64177f415a2b985aa0c51eee79253a40050c33dff63","observation_id":"4cb094ab-17e0-442b-8e41-0cfaedb324df","resolution":{"observed_at":"2026-08-12T15:31:59.629310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-10T22:17:28.117286Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.02235","last_updated":"2025-03-10T03:41:41Z","snapshot_observed_at":"2026-08-14T06:27:37.289549Z","submitted_at":"2025-01-04T08:45:24Z","title":"Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends","version":2},"reference_index":105,"source":"arxiv_source","source_observed_at":"2026-08-10T22:17:28.117286Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2501.02235"},"observation_digest":"sha256:2f5989666e49e8334f9adde8c3f8035c399622993dced78f14176cf9d58ba710","observation_id":"5b1e0f2c-95f7-49dc-8cbd-9748e538a7cd","resolution":{"observed_at":"2026-08-10T22:17:28.117286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-10T22:08:09.332662Z","title":"Dockylin: A large multimodal model for visual document understanding with efficient visual slimming,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.02765","last_updated":"2025-01-06T05:15:59Z","snapshot_observed_at":"2026-08-14T12:32:34.328935Z","submitted_at":"2025-01-06T05:15:59Z","title":"Visual Large Language Models for Generalized and Specialized Applications","version":1},"reference_index":116,"source":"pdf_text","source_observed_at":"2026-08-10T22:08:09.332662Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2501.02765"},"observation_digest":"sha256:4a0f24af818529b2195e69c0d9ddf630fb21ba9396353112ab7475cd909bcf58","observation_id":"ee43fcb4-06be-47be-9e95-8e88d068dc6f","resolution":{"observed_at":"2026-08-10T22:08:09.332662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-09T21:39:21.852342Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19036","last_updated":"2025-05-30T12:26:44Z","snapshot_observed_at":"2026-08-10T12:01:17.734125Z","submitted_at":"2025-01-31T11:09:16Z","title":"RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs","version":3},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-09T21:39:21.852342Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2501.19036"},"observation_digest":"sha256:43c4b8e472ea095a19b8976ea154643a837fa7e67375b0fcdf11340980394949","observation_id":"e4ff13ee-acd1-48ef-b3e9-333580ea32ed","resolution":{"observed_at":"2026-08-09T21:39:21.852342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":"2406.19101","doi":"10.48550/arxiv.2406.19101","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zhang, W","venue":"arXiv (Cornell University)","work_id":"bbe7c25f-955b-46c4-9572-aa9ebd809492","year":2024},"citing_paper":{"arxiv_id":"2507.09861","last_updated":"2026-04-21T13:31:05Z","snapshot_observed_at":"2026-08-13T06:49:01.011003Z","submitted_at":"2025-07-14T02:10:31Z","title":"A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-19T04:38:49.512293Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2507.09861"},"observation_digest":"sha256:930eb7ecd9825f3062fb92b70eab555dae8251b6486a6a13b253e784b68e1012","observation_id":"22404211-099a-45f2-9ca7-76d44f997139","resolution":{"observed_at":"2026-05-19T04:42:04.092864Z","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":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-05T22:32:41.286530Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06917","last_updated":"2025-08-09T10:06:28Z","snapshot_observed_at":"2026-08-10T04:48:35.595413Z","submitted_at":"2025-08-09T10:06:28Z","title":"CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T22:32:41.286530Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2508.06917"},"observation_digest":"sha256:b6bf0da4629ead9b0c3e0b68072a8e763e34238618d6f057c72ae61c3b0ea1ed","observation_id":"a11f40bc-3d7c-4277-823a-7a34f8d3b502","resolution":{"observed_at":"2026-08-05T22:32:41.286530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":"2406.19101","doi":"10.48550/arxiv.2406.19101","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Zhang, W","venue":"arXiv (Cornell University)","work_id":"bbe7c25f-955b-46c4-9572-aa9ebd809492","year":2024},"citing_paper":{"arxiv_id":"2604.00161","last_updated":"2026-04-21T01:45:08Z","snapshot_observed_at":"2026-07-06T22:51:22.254518Z","submitted_at":"2026-03-31T19:09:55Z","title":"Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T23:30:53.449935Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2604.00161"},"observation_digest":"sha256:d45bce3c17c522021f19a29993723ad6a7af81668d5b483f0916db0697ab45b5","observation_id":"bed1a920-6e8f-43a4-8415-845773168336","resolution":{"observed_at":"2026-05-13T23:33:26.714114Z","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":"2406.19101","last_updated":"2024-12-19T08:00:44Z","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19101","snapshot_observed_at":"2026-08-02T14:55:39.161657Z","title":"arXiv preprint arXiv:2406.19101 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16203","last_updated":"2026-05-05T10:59:34Z","snapshot_observed_at":"2026-08-11T20:01:56.407298Z","submitted_at":"2026-05-05T10:59:34Z","title":"DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth","version":1},"reference_index":181,"source":"arxiv_source","source_observed_at":"2026-08-02T14:55:39.161657Z"},"links":{"cited_paper":"/paper/2406.19101","citing_paper":"/paper/2607.16203"},"observation_digest":"sha256:e8eabe706f7f4fa6bb2f5ed6af5046ac4e2b7d2158e6e857f5b382b3bd698c7e","observation_id":"c039b0e2-f46d-44e5-8c52-1added34df56","resolution":{"observed_at":"2026-08-02T14:55:39.161657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.19101/citation-record","integrity":"/paper/2406.19101/integrity","json":"/paper/2406.19101/citation-record.json","paper":"/paper/2406.19101"},"outbound":[],"paper":{"arxiv_id":"2406.19101","last_updated":"2024-12-19T08:00:44Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:33:43.957187Z","submitted_at":"2024-06-27T11:28:36Z","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming"},"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 8 inbound Pith citation observations for arXiv:2406.19101."}