{"as_of":"2026-08-12T22:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77e5c7b7a5ec5331fe8ba8fade989a3058a69268751df9cc1c13cb77d56ebae8","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:02:08.705732Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.02886/citation-record","integrity":"/paper/2412.02886/integrity","json":"/paper/2412.02886/citation-record.json","paper":"/paper/2412.02886"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.529932Z","title":"Strategy for digitizing archival materials for public access, 2015-2024,","venue":null,"work_id":"42a04704-6ecf-4cb1-a784-6da1cf0b6e1f","year":2015},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.445973Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:0fe2a1400cb03e89a120fe17e68a390f8b743dc58263a3e5d2facd6b2786075b","observation_id":"6ca0cd4c-7761-4253-a829-f06c41103e0d","resolution":{"observed_at":"2026-08-11T23:02:09.535148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12484","last_updated":"2023-05-01T21:09:08Z","snapshot_observed_at":"2026-08-12T07:39:00.465389Z","submitted_at":"2023-04-24T22:48:29Z","title":"DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents","version":2},"cited_work":{"arxiv_id":"2304.12484","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.12484","snapshot_observed_at":"2026-08-11T23:02:09.118923Z","title":"DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents","venue":"cs.CV","work_id":"f4e33a36-2128-410d-858c-8c130e9a3d4a","year":2023},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.452978Z"},"links":{"cited_paper":"/paper/2304.12484","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:5d8b58993450dcd9154b031393096761890f137954dc02511f679e61238d76d7","observation_id":"ee2e294e-550b-4a8a-86ed-0a3f0127b655","resolution":{"observed_at":"2026-08-11T23:02:09.133947Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.07464","last_updated":"2020-07-18T08:13:53Z","snapshot_observed_at":"2026-08-12T14:28:31.620431Z","submitted_at":"2020-04-16T05:20:16Z","title":"PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.07464","snapshot_observed_at":"2026-08-11T23:02:08.460068Z","title":"Pick: Processing key information extraction from documents using improved graph learning- convolutional networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.460068Z"},"links":{"cited_paper":"/paper/2004.07464","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:5e9adfc86277ee54fe94af36d3d91ef018fadfdac421495f52f8eda5459493d1","observation_id":"5696286e-96b3-45e7-a2a4-defbe9c4f824","resolution":{"observed_at":"2026-08-11T23:02:08.460068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.15664","last_updated":"2022-10-06T06:50:39Z","snapshot_observed_at":"2026-08-06T10:03:36.325862Z","submitted_at":"2021-11-30T18:55:19Z","title":"OCR-free Document Understanding Transformer","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.15664","snapshot_observed_at":"2026-08-11T23:02:08.468012Z","title":"Ocr- free document understanding transformer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.468012Z"},"links":{"cited_paper":"/paper/2111.15664","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:193e56951f15868ed68796bb25f823bcc572a6011b170e9d0b518af923aac039","observation_id":"7d46bb08-9e1e-4c54-a688-b93da39ee5e8","resolution":{"observed_at":"2026-08-11T23:02:08.468012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10952","last_updated":"2024-06-21T21:55:07Z","snapshot_observed_at":"2026-08-12T07:38:14.502830Z","submitted_at":"2023-09-19T22:32:56Z","title":"LMDX: Language Model-based Document Information Extraction and Localization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.10952","snapshot_observed_at":"2026-08-11T23:02:08.480704Z","title":"Lmdx: Language model-based document information extraction and localization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.480704Z"},"links":{"cited_paper":"/paper/2309.10952","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:1bdaa9e4cc7a370a06fd0df401b3556f56104bed0f030f701633186768eb2949","observation_id":"ddaada51-27c9-4423-8baa-4a62924036dc","resolution":{"observed_at":"2026-08-11T23:02:08.480704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.500278Z","title":"Information extraction from historical well records using a large language model,","venue":null,"work_id":"a03a4667-ce90-4ea0-ba22-e0368a8ebf66","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.495646Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:9e5204b995826196f215edd11ad32235dc76e5cf27eda2ffa89e3cb1efea38f7","observation_id":"aaeda3a9-cb8f-4a9b-aaf4-ce8d0fcddff1","resolution":{"observed_at":"2026-08-11T23:02:09.511625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.482316Z","title":"Automated structured data extraction from scanned document images,","venue":null,"work_id":"ca01ecba-70ac-44d3-ae77-2d127124bdf8","year":2023},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.507479Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:2107a7927ea28389e6647641f6046cf03069c02690e7e376e781656e4a932d72","observation_id":"51228136-1cb1-4031-b632-da9368b3cb19","resolution":{"observed_at":"2026-08-11T23:02:09.487114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.460085Z","title":"An overview of the tesseract ocr engine,","venue":null,"work_id":"7971072f-a891-4ae7-a300-e7455fead38e","year":2007},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.518371Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:f2d748a0af5d471748e492f3a321288d4ae011e209454c03d32364259fafe1fd","observation_id":"65d2e8b1-cfa3-4842-9cd7-1d9da1aa1a3c","resolution":{"observed_at":"2026-08-11T23:02:09.465952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.433100Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"9bca4c2b-5990-4d19-b6d6-327c692d6d8c","year":2021},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.528030Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:e403128923f5b2839d423275c68bfba2c501ddaef054c9d43c10d8a917154df9","observation_id":"3eafe099-70b8-48d5-8770-f311dca14b7e","resolution":{"observed_at":"2026-08-11T23:02:09.443733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.416333Z","title":"Blip-2: Boot- strapping language-image pre-training with frozen im- age encoders and large language models,","venue":null,"work_id":"23f18439-254f-4ac8-9cd0-132f4a92f5bd","year":2023},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.536542Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:861bfc84bd1acd87f862ec777a4e56a45b69250be2421f7cc402380c3dee43bf","observation_id":"5abfa59c-abc4-4be3-b6dc-d3597252de13","resolution":{"observed_at":"2026-08-11T23:02:09.421613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-11T23:02:08.545946Z","title":"An image is worth 16x16 words: Transformers for image recogni- tion at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.545946Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:6dd6ee94fce2d3b26fc3c97889f3d774d23eb51b26d50aa6bf77fed66b99d3f1","observation_id":"b0bb2a26-ba3c-4016-ae92-9ae64e92b46e","resolution":{"observed_at":"2026-08-11T23:02:08.545946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.394723Z","title":"Vision- language models for vision tasks: A survey,","venue":null,"work_id":"52e74531-d80d-4a11-8022-951bbf5540c9","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.554627Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:cee036e230eed9ca2b0e7e46304e4739db2118614d149f3e27f242acf11d7568","observation_id":"3cb48cad-f3e9-4253-b0ba-cf257a02d848","resolution":{"observed_at":"2026-08-11T23:02:09.400546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.362459Z","title":"Fusecap: Leveraging large language models for enriched fused image captions,","venue":null,"work_id":"306b4e70-5545-482e-a5bb-97c5de51462b","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.565070Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:feb7e3d779327fc084e3215ae0950fc9edf2b6271dd82ea592b186ea4c9733a6","observation_id":"6dfb464c-2c30-4ee2-97b1-74794c68b23e","resolution":{"observed_at":"2026-08-11T23:02:09.379255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-11T23:02:08.576948Z","title":"Bert: Pre-training of deep bidirectional trans- formers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.576948Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:3d8eb9149d64bea2af23e9e6bbd5d5b7be51a7eca87f9c9c70afa43785e482b4","observation_id":"9170e63a-9e74-4e09-8e5d-becabea71e97","resolution":{"observed_at":"2026-08-11T23:02:08.576948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.335125Z","title":"Language models are few-shot learners,","venue":null,"work_id":"ea9f7609-33cb-4c13-908b-4513a81c74f3","year":1901},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.584878Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:80d347450c3adc967042126e8b659e8368f0fa57c22e90adf11a8711a86c0071","observation_id":"262b4d05-2d78-44fc-98e6-00f4a681e510","resolution":{"observed_at":"2026-08-11T23:02:09.340719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-08-11T23:02:08.591033Z","title":"Minigpt-4: Enhancing vision-language under- standing with advanced large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.591033Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:cab4291256f8a6ae54f15ed7d337c5376dffa274178466e4fa0ec27b3a1e3b4b","observation_id":"820b2e40-594f-4d63-9035-5efb8d270d2f","resolution":{"observed_at":"2026-08-11T23:02:08.591033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07745","last_updated":"2022-10-18T07:20:28Z","snapshot_observed_at":"2026-07-06T14:05:13.880250Z","submitted_at":"2022-10-14T12:32:50Z","title":"Confidence estimation of classification based on the distribution of the neural network output layer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07745","snapshot_observed_at":"2026-08-11T23:02:08.608807Z","title":"Confidence estimation of classification based on the distribution of the neural network output layer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.608807Z"},"links":{"cited_paper":"/paper/2210.07745","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:578e097791962c16b979e5b19aae06a1fff1349d24ee996d2b4240873fe739c2","observation_id":"fa5387bf-2a3c-4abc-921d-c919ec08942f","resolution":{"observed_at":"2026-08-11T23:02:08.608807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.309680Z","title":"Consortium advancing technology for assessment of lost oil & gas wells (catalog),","venue":null,"work_id":"800e5473-4d89-44ae-956f-891262c387b4","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.617216Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:41af743caa2d7f1af07f783e92087212d3d5d1658e68fd7b7f626404d121fee8","observation_id":"e9ff2103-8a00-43be-bd0b-97eae0f3d3a6","resolution":{"observed_at":"2026-08-11T23:02:09.319861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.287125Z","title":"Llava-next: Improved reasoning, ocr, and world knowledge,","venue":null,"work_id":"229d6c6a-354b-413a-bd65-bfe2d91d7e94","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.628107Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:ea0c0c631bba975eadd7c9cecad5172982f536cde7ad13b76c35115352226251","observation_id":"d32b29c8-e938-48ac-9fde-6da899c1be43","resolution":{"observed_at":"2026-08-11T23:02:09.294391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-10T14:07:02.234322Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-11T23:02:08.635946Z","title":"Phi-3 technical report: A highly capable language model locally on your phone,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.635946Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:984bc74cb43d97767ee040c40f514fd930f281f733f23101fabd387eb2e7d5e4","observation_id":"e7b32306-7704-48cd-88ed-b73935baf886","resolution":{"observed_at":"2026-08-11T23:02:08.635946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.266332Z","title":"Idefics2: A powerful 8b vision- language model for the community,","venue":null,"work_id":"c463f240-2914-4d5f-8e0a-f1ec60548b42","year":null},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.642905Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:132944d97e96a564861f0e3dbafa2b88b4728aa2ee5a6c6b63eec3c18d6dd52a","observation_id":"aaf78da4-ec95-42d3-9c27-3e524196cf1a","resolution":{"observed_at":"2026-08-11T23:02:09.272189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03744","last_updated":"2024-05-15T19:22:44Z","snapshot_observed_at":"2026-07-06T16:28:22.350574Z","submitted_at":"2023-10-05T17:59:56Z","title":"Improved Baselines with Visual Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03744","snapshot_observed_at":"2026-08-11T23:02:08.654766Z","title":"Improved baselines with visual instruction tuning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.654766Z"},"links":{"cited_paper":"/paper/2310.03744","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:9b1146058c319835646381a2636d77ca1b2db64d1ea3592c970648f5f2eaa5b0","observation_id":"46fe7637-b405-4871-ad78-73a57c9e7ccd","resolution":{"observed_at":"2026-08-11T23:02:08.654766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.221148Z","title":"Cloud vision api,","venue":null,"work_id":"0bb3552d-9947-4bac-921e-e01c02d19aed","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.661282Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:35f7a07608e43d58fd815a7547a123d5c7981a7c29016b6cc42e9a383c010a31","observation_id":"c7e11345-9e82-4e3e-91d7-4dd47aca73b0","resolution":{"observed_at":"2026-08-11T23:02:09.226975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02136","last_updated":"2018-10-03T07:32:57Z","snapshot_observed_at":"2026-08-02T06:41:33.803920Z","submitted_at":"2016-10-07T04:06:01Z","title":"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02136","snapshot_observed_at":"2026-08-11T23:02:08.674689Z","title":"A baseline for detect- ing misclassified and out-of-distribution examples in neural networks,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.674689Z"},"links":{"cited_paper":"/paper/1610.02136","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:b118cdf0ebfd544314a6b77076f45fdbaab0422befeb0ffb89bcf7098b8b5a80","observation_id":"e84c9d11-b718-4820-955f-b1670f077902","resolution":{"observed_at":"2026-08-11T23:02:08.674689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03744","last_updated":"2024-10-21T04:10:50Z","snapshot_observed_at":"2026-08-09T13:56:44.744835Z","submitted_at":"2024-02-06T06:23:12Z","title":"INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03744","snapshot_observed_at":"2026-08-11T23:02:08.680923Z","title":"Inside: Llms’ internal states retain the power of hallucination detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.680923Z"},"links":{"cited_paper":"/paper/2402.03744","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:924769e2cf4a22abcba57ae652f571ee3aae1225c5a1dde47962f63b2fd8b7c3","observation_id":"6ca13125-a440-4eb9-bc87-2a96e8275c65","resolution":{"observed_at":"2026-08-11T23:02:08.680923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-11T23:02:08.687735Z","title":"Llama: Open and ef- ficient foundation language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.687735Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:12224fa14988e0f61ca5623c88d762f066021e95bb08a2238c37cc7aa8fdcce8","observation_id":"959029d9-1050-4b27-aae1-7d4e00eb54df","resolution":{"observed_at":"2026-08-11T23:02:08.687735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.196141Z","title":"Unlocking solutions: In- novative approaches to identifying and mitigating the environmental impacts of undocumented orphan wells in the united states,","venue":null,"work_id":"f415faad-d861-4652-ac5f-0ca309184ae4","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.693652Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:a6530707a7dc97558ed5118a9704f31776184e04b8c928678f049448beadbe1d","observation_id":"3a2a03a6-c124-48e7-b113-15b07fb66920","resolution":{"observed_at":"2026-08-11T23:02:09.203504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.171208Z","title":"Chatgpt-4o,","venue":null,"work_id":"29c81514-1231-4650-a53a-dada5f3215e7","year":2024},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.699042Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:10fd78df172a4d01505a7c76fdcf49a24461cd945c6ee1d6eb2ae4a9eb37d57b","observation_id":"50e06b5c-8edb-42fd-b93d-906521836ff7","resolution":{"observed_at":"2026-08-11T23:02:09.181086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.151168Z","title":"Corporate reports online,","venue":null,"work_id":"c809d101-cab0-49df-8c65-599ea28e716d","year":null},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.705732Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:19ca4cb5625fb2efc52c825994a0b5bc3c6647d60d886390d823a59a6ae24b72","observation_id":"67f6812d-8981-4b2e-ac1e-7bf52599e7ba","resolution":{"observed_at":"2026-08-11T23:02:09.155927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:02:09.240275Z","title":"Available: https://huggingface.co/ HuggingFaceM4/idefics2-8b 3","venue":null,"work_id":"9a00d024-e2c5-4567-9bf8-5a7a029a570a","year":null},"citing_paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T23:02:08.648714Z"},"links":{"citing_paper":"/paper/2412.02886"},"observation_digest":"sha256:84be6b8069b99a13a9e9d4c0eec102edddd955678f19fbb9c0c3d7d584233d9b","observation_id":"92bbee0c-089a-45fb-9517-f22544d1938c","resolution":{"observed_at":"2026-08-11T23:02:09.246232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.02886","last_updated":"2024-12-13T21:27:56Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T17:36:27.529852Z","submitted_at":"2024-12-03T22:46:09Z","title":"Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":30},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.02886."}