{"as_of":"2026-08-15T23:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e38d96c35291375679e2f913366558aa906ff240b036509bc2e21df13ae944be","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:35:07.583094Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:37:29.964834Z","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":"2026-05-11T13:46:04.495893Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"cited_work":{"arxiv_id":"2506.07631","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.07631","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Un- blocking fine-grained evaluation of detailed captions: An explaining autorater and critic-and-revise pipeline","venue":null,"work_id":"39ae64c5-a0d9-497f-958e-b5d27987b97b","year":2025},"citing_paper":{"arxiv_id":"2604.21718","last_updated":"2026-04-26T23:28:29Z","snapshot_observed_at":"2026-08-11T01:00:18.605708Z","submitted_at":"2026-04-22T09:01:04Z","title":"Building a Precise Video Language with Human-AI Oversight","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T00:37:31.858728Z"},"links":{"cited_paper":"/paper/2506.07631","citing_paper":"/paper/2604.21718"},"observation_digest":"sha256:3d0e497cb74c6d43bdff9c730698b56e7fa923ddf3beb71433ee44d30683c4a8","observation_id":"2e6f6cf1-5234-48f3-8b61-d07c1bd0f19d","resolution":{"observed_at":"2026-05-11T13:46:04.497600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.07631","snapshot_observed_at":"2026-08-12T14:37:29.964834Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10908","last_updated":"2026-08-11T13:29:03Z","snapshot_observed_at":"2026-08-15T10:20:33.664842Z","submitted_at":"2026-08-11T13:29:03Z","title":"Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T14:37:29.964834Z"},"links":{"cited_paper":"/paper/2506.07631","citing_paper":"/paper/2608.10908"},"observation_digest":"sha256:d84927116bf4a1e8cf5e668535a557f149259bdd35dd131890ca0288484984fc","observation_id":"3cb66f06-c3ed-4a4c-9a18-22a7d8e03aee","resolution":{"observed_at":"2026-08-12T14:37:29.964834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07631/citation-record","integrity":"/paper/2506.07631/integrity","json":"/paper/2506.07631/citation-record.json","paper":"/paper/2506.07631"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-08-14T04:17:22.593941Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-07T05:35:07.435004Z","title":"Qwen2.5-vl technical report","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.435004Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:d4daa6473dab178cda85506193d5abe46f74fcdf7d27774d403e43bd5c6a6262","observation_id":"a698ff26-3eba-45e9-b2d2-cf84461c5a1a","resolution":{"observed_at":"2026-08-07T05:35:07.435004Z","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":"2026-08-07T05:35:07.942781Z","title":"METEOR: An automatic metric for MT evaluation with improved correlation with human judgments","venue":null,"work_id":"d8081afd-fd36-4b3b-986a-d2d471fec3db","year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.438310Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:999c50b9b0de63afaa930c50a9ba0a09f135e3fe2166a8103c0de2ad1340c08f","observation_id":"8eb4b810-a136-4be7-b291-2ec097ada382","resolution":{"observed_at":"2026-08-07T05:35:07.946331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.931533Z","title":"PaLI: A jointly-scaled multilingual language-image model","venue":null,"work_id":"1266e807-820e-4cfc-970f-b80b92212f2c","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.443963Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:f831a978cff96094ec6e41ae95ca2cfe64c530a49f6560e37ad8d5f0478aecfd","observation_id":"479df1c2-020a-454a-896c-68894a29167d","resolution":{"observed_at":"2026-08-07T05:35:07.934239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17811","last_updated":"2025-01-29T18:00:19Z","snapshot_observed_at":"2026-08-12T12:44:22.350068Z","submitted_at":"2025-01-29T18:00:19Z","title":"Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.17811","snapshot_observed_at":"2026-08-07T05:35:07.446888Z","title":"Janus-pro: Unified multimodal understanding and generation with data and model scaling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.446888Z"},"links":{"cited_paper":"/paper/2501.17811","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:82234539b14d242891d76b0fe728af9abd88da6b114df1eae86fcae418b81634","observation_id":"27d4ff1a-11a0-45b8-910e-04c5a93d8351","resolution":{"observed_at":"2026-08-07T05:35:07.446888Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.449855Z","title":"Gonzalez, Ion Stoica, and Eric P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.449855Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:afdd4685168dfab1f6058e5ac7bef27b897aabe88312910fe8b75247c5fb562c","observation_id":"53fbbc67-d2d4-4fc2-bac8-a318076e6602","resolution":{"observed_at":"2026-08-07T05:35:07.449855Z","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":"2026-08-07T05:35:07.920596Z","title":"Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V","venue":null,"work_id":"d706032d-4140-4b4c-aa15-1e9b8f6437bd","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.452468Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:033179c5065d7ccdd5e9b66695bca67197d8f33c04b27b639947f8145dde700d","observation_id":"270af464-4c58-49ca-9630-563903c529d6","resolution":{"observed_at":"2026-08-07T05:35:07.923107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.913921Z","title":"Instructblip: towards general-purpose vision-language models with instruction tuning","venue":null,"work_id":"9ceb8920-d354-4048-aca5-24d659925b87","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.455003Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:457091007f32a281d2209688c0827511570fbaa11c24006b328564033bb11f41","observation_id":"ed8982a7-d2fc-449e-98d1-f8f1d0d212eb","resolution":{"observed_at":"2026-08-07T05:35:07.916590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17146","last_updated":"2024-12-05T14:28:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-25T17:59:51Z","title":"Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17146","snapshot_observed_at":"2026-08-07T05:35:07.458162Z","title":"Smith, Hannaneh Hajishirzi, Ross B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.458162Z"},"links":{"cited_paper":"/paper/2409.17146","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:c462b3d0696b520387f1e5efd019ca372ee570141b35e4a20b6091dfcec2826c","observation_id":"baa7c1ba-3632-4bca-a52a-8f4e2dce9c8f","resolution":{"observed_at":"2026-08-07T05:35:07.458162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19092","last_updated":"2024-07-07T17:06:59Z","snapshot_observed_at":"2026-08-14T08:00:12.202002Z","submitted_at":"2024-05-29T13:54:12Z","title":"Benchmarking and Improving Detail Image Caption","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19092","snapshot_observed_at":"2026-08-07T05:35:07.461098Z","title":"Benchmarking and improving detail image caption","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.461098Z"},"links":{"cited_paper":"/paper/2405.19092","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:2179bc1f66ff28ecebae172b739088dfab3eb21cc729b7a88c1d8b057b19ebb8","observation_id":"93ed0f7c-a450-4603-a1d2-da3006019d51","resolution":{"observed_at":"2026-08-07T05:35:07.461098Z","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":"2026-08-07T05:35:07.906791Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"ca76242d-e967-4a25-b112-5b63ceafb79e","year":2021},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.463988Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:a173167341fa093207c0295c6023feed002b782bc48378165d529529e691db2b","observation_id":"4db09c24-f488-4881-8158-138eac228506","resolution":{"observed_at":"2026-08-07T05:35:07.909739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.900104Z","title":"ImageInWords: Unlocking hyper-detailed image descriptions","venue":null,"work_id":"4d1f6c10-507b-4396-9320-0ac2bdfcabf8","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.466643Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:8d9d6b4281cbac7d54559b0e45f8f756bc9dbf45b64c901e4f3f90f50c6dc268","observation_id":"5b5b20c8-6260-4470-8d9e-05d599382861","resolution":{"observed_at":"2026-08-07T05:35:07.902682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.893348Z","title":"Introduction to Cloud TPU","venue":null,"work_id":"5c2b7f50-ee16-4366-82ac-1bf56f148b94","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.469044Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:84480c5e6f6f4c837f9df666e6cd5e480c7b6ec958d310da1e2c126864a59e35","observation_id":"00429a25-d334-470e-bb00-237aa9d608e2","resolution":{"observed_at":"2026-08-07T05:35:07.895840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.886095Z","title":"Mismatch quest: Visual and textual feedback for image-text misalignment","venue":null,"work_id":"d0d5602a-4fac-477c-8549-9e6a2ebdbd1a","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.471735Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:fe55627e6eb153281babdc6aff01a6ac3922cdfbaed86ed1e4f1732e51dabfc6","observation_id":"58414489-db00-4662-84d5-bb10564d0cc7","resolution":{"observed_at":"2026-08-07T05:35:07.889118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.879578Z","title":"Detecting and preventing hallucinations in large vision language models","venue":null,"work_id":"b60a4aba-285d-4742-9864-dff16105b86b","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.474145Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:165caa24778a6169f3a96e894c9397b8deb6629313f6ea62ad586f7472e90e3a","observation_id":"da339998-dab3-4d0b-a6c8-e6ea65c908e7","resolution":{"observed_at":"2026-08-07T05:35:07.882011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.872954Z","title":"CLIPScore: A reference-free evaluation metric for image captioning","venue":null,"work_id":"3ae7d72a-16b9-4dec-96c7-05cbccb6fa4a","year":2021},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.476996Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:ea014fe613e3cab8869d2eb679cd296093a76df78a260462794bc45c7387c565","observation_id":"9b74b747-10e4-48f3-b959-6a2449631279","resolution":{"observed_at":"2026-08-07T05:35:07.875388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.866068Z","title":"Framing image description as a ranking task: data, models and evaluation metrics","venue":null,"work_id":"3a45703d-d714-4880-a5e7-20179ff042ec","year":2013},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.479427Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:2667d14abcfc6e44db86103eda5b0c64263218ce4ac81ce6ecc0255851ccf5ff","observation_id":"e3c4262f-ab98-4df4-8fc0-66e74fa290e6","resolution":{"observed_at":"2026-08-07T05:35:07.868901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.859584Z","title":null,"venue":null,"work_id":"b5d4c934-4468-45ee-a92e-a602f4ce064a","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.481837Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:cd0257ddc048e9007f394fe2369880b4d38022e07fb63e7f1f1e581a91c6d234","observation_id":"f026e767-4666-4cc0-9497-4da2bdff22b2","resolution":{"observed_at":"2026-08-07T05:35:07.861979Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.852687Z","title":"Do LVLMs understand charts? analyzing and correcting factual errors in chart captioning","venue":null,"work_id":"4758dfd0-d89d-4d03-b3f2-ffc5b5c59791","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.484231Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:7c3977d2810024c19617d11d84a0905ebf26f7aff3b6b5da1093eab7b24a531f","observation_id":"6ee8ef04-b5d7-4cd2-bbf3-28b4fa1456f1","resolution":{"observed_at":"2026-08-07T05:35:07.855410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.845639Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"8fa9457e-d285-47d2-b1e7-e5fc0d6267c2","year":2015},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.487029Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:6ab8680ebfcaae81d4a805fa7da5562e4a33d48572c07bfbdcc871227d0283f0","observation_id":"c10a282a-7fc5-4b5a-bc80-eb01733261b8","resolution":{"observed_at":"2026-08-07T05:35:07.848156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-08-07T05:35:07.489480Z","title":"Llava-onevision: Easy visual task transfer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.489480Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:d13d8d3223cb004b17987c4c40b572470f99748deb302f20724662c22f5736cc","observation_id":"7d5a2202-4b96-4910-a1e8-b7e8123a3d14","resolution":{"observed_at":"2026-08-07T05:35:07.489480Z","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":"2026-08-07T05:35:07.837614Z","title":"Vila: On pre- training for visual language models","venue":null,"work_id":"bd43ec4d-0f63-4806-a0ba-6696f90dbafb","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.492435Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:42aa963c0d3e54d201d562769927162e5797d77b17d604d489846281fe4bd229","observation_id":"ed179776-c3de-48b3-a72b-2e5bc05cf3fa","resolution":{"observed_at":"2026-08-07T05:35:07.841343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.830464Z","title":"Lawrence Zitnick","venue":null,"work_id":"5904e325-752f-40c3-a3c9-dce960ed43a7","year":2014},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.494820Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:82d6774f02a76f58a778db1fa387a60196f6ead0c1e59b2d290cad4f990e2260","observation_id":"d2b7dd9c-827d-46e6-b486-e59f8556e1f2","resolution":{"observed_at":"2026-08-07T05:35:07.833082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.823406Z","title":"Evaluating text-to-visual generation with image-to-text generation","venue":null,"work_id":"74508e34-6a66-4869-81db-1d711b84099a","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.497218Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:fc513758039021ca4861cdf4c6021ad2beca4e8ed04457c9c84e0a42628f5364","observation_id":"c0536a6b-aa74-4052-a0de-cb03805b32ab","resolution":{"observed_at":"2026-08-07T05:35:07.826004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.816329Z","title":"Improved baselines with visual instruction tuning","venue":null,"work_id":"050667e2-870a-420f-91bc-9a6a726b14ec","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.499885Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:8251b4e1f80e954a694d615986bb209e682a5964ca6f0f362fae5035113594e4","observation_id":"5d7d1135-193e-4669-aaea-8321d973851e","resolution":{"observed_at":"2026-08-07T05:35:07.818898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.808801Z","title":"Docci: Descriptions of connected and contrasting images","venue":null,"work_id":"c355a5ca-38bd-4239-84a0-b6ae9bfaae61","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.503336Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:85e657e11f1b9e8b444160a608904f47774e4a3cd77ca9ecb49fe4da35d57a51","observation_id":"28a2f46a-a425-4eb4-9c59-031ae6cc6d40","resolution":{"observed_at":"2026-08-07T05:35:07.811678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.801592Z","title":null,"venue":null,"work_id":"8e2761b6-42c4-4412-80c1-0afaf2a59a97","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.506232Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:fc4e6588f09acad87faa724d9f650eedcbb31e91c4aa4d981a507d9c829813ed","observation_id":"b32feda1-5d3a-49bf-a056-56156982c13d","resolution":{"observed_at":"2026-08-07T05:35:07.804123Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.794262Z","title":"Bleu: a method for automatic evaluation of machine translation","venue":null,"work_id":"8908c20f-0bd1-4312-bc59-e1f69f03ec24","year":2002},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.509039Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:6bfc140b4e3fc9d7b4094cadaedd9b84fcb0e9602d295054aeb356b744f20fbc","observation_id":"6adbeb1c-9aa9-4d2c-a282-e14835d550a8","resolution":{"observed_at":"2026-08-07T05:35:07.797118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.786997Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"ce5967ec-5fc8-4c33-bd37-50099e1ba8b6","year":2021},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.512393Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:17cec95f017b2f0ec1ba42b17e9df1beb570dd4f9edd872e4dde148fd46f2bb6","observation_id":"01c5bb67-97aa-4307-b822-23c4b0923c50","resolution":{"observed_at":"2026-08-07T05:35:07.789834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-07T05:35:07.515135Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.515135Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:688fd2dfcc94635cf37d5fbb63731b39df1eb9ddca9dbdaedea26862e0836e3a","observation_id":"f81ab1bd-c0d0-4383-882c-a2c575c473bb","resolution":{"observed_at":"2026-08-07T05:35:07.515135Z","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":"2026-08-07T05:35:07.779950Z","title":"Evolution of image caption- ing models: An overview","venue":null,"work_id":"42cfb8c8-8f76-490d-b78c-d119b54ff6a6","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.517774Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:8432720c8874cfa10fdff0e9cee1b06d641a821af89fb8f442243f2eedb08254","observation_id":"dfc8e028-6494-4d55-ae5a-3de433ac0403","resolution":{"observed_at":"2026-08-07T05:35:07.782633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.772398Z","title":"Laion-5b: an open large-scale dataset for training next generation image-text models","venue":null,"work_id":"0ec5d78b-98c5-48c5-aa3e-eb2c9033e350","year":2022},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.520288Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:482ccec4f4f7f39aac17d3734ca4931aa90c3193577addda4bbb59ee7bdd71e9","observation_id":"b6ded4f9-7803-49ef-b871-2b2a4e2f502b","resolution":{"observed_at":"2026-08-07T05:35:07.775253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.523317Z","title":"From pixels to prose: A large dataset of dense image captions, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.523317Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:c6b31f9da63ab0092bdfe8354b7c93b5febd27805fab9465826e378061245704","observation_id":"870ff1d8-71d0-4e27-955d-c88f3bcc5cd2","resolution":{"observed_at":"2026-08-07T05:35:07.523317Z","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":"2026-08-07T05:35:07.760877Z","title":"From Show to Tell: A Survey on Deep Learning-Based Image Captioning","venue":null,"work_id":"0bc42e5b-399d-4141-9c89-1b620ea5d23c","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.525768Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:82f2f7dde4281f13264dc46cfe7da0a89b193d8f94a89a27d3d4ffc3d6350a94","observation_id":"fa65ea0e-175f-4a31-835c-84fb82993926","resolution":{"observed_at":"2026-08-07T05:35:07.763826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03555","last_updated":"2024-12-04T18:50:42Z","snapshot_observed_at":"2026-07-06T20:01:45.826971Z","submitted_at":"2024-12-04T18:50:42Z","title":"PaliGemma 2: A Family of Versatile VLMs for Transfer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03555","snapshot_observed_at":"2026-08-07T05:35:07.528227Z","title":"Paligemma 2: A family of versatile vlms for transfer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.528227Z"},"links":{"cited_paper":"/paper/2412.03555","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:1ea55b1bce23ae00493700d1063198819c719c36090e73d85dcd0255bb4c3dc8","observation_id":"4169548e-f6e4-4bd6-bddd-611cf0a95c0e","resolution":{"observed_at":"2026-08-07T05:35:07.528227Z","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":"2026-08-07T05:35:07.753662Z","title":null,"venue":null,"work_id":"a906bab5-107a-4b07-93e7-9bb647ebdc9a","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.531500Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:1bd45627c37df00904bb6059a427b5175d514fbcf8ee99237dbbf820d8deda7a","observation_id":"9d65c75c-cad6-4318-8127-4ec2ffe74caa","resolution":{"observed_at":"2026-08-07T05:35:07.756381Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.535265Z","title":"Llama 2: Open foundation and fine-tuned chat models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.535265Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:3d12e07bf67da7122d880501959a733caa3374987a7836fc77c76d502c2f5498","observation_id":"9d1ec902-a004-4b2a-b951-32909accae14","resolution":{"observed_at":"2026-08-07T05:35:07.535265Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.537778Z","title":"Siglip 2: Multilingual vision-language encoders with improved semantic understanding, localization, and dense features, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.537778Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:38e520e6a0ac3f945140451d9ed7bf96f21ed33a01768b3cb92c2b413b1b761f","observation_id":"adb891f5-f650-4737-bb94-328720ecc0e8","resolution":{"observed_at":"2026-08-07T05:35:07.537778Z","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":"2026-08-07T05:35:07.738834Z","title":"A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions","venue":null,"work_id":"1c88882b-e469-48d1-a47e-2330e2208ca7","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.540869Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:1641c0f5f2c80f5e607663d56d8bbf4f4db9217fbdf31f303ef990b54fec9bb8","observation_id":"a33b874f-4138-4aa7-84ea-52518df756b6","resolution":{"observed_at":"2026-08-07T05:35:07.741579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.731489Z","title":"Lawrence Zitnick, and Devi Parikh","venue":null,"work_id":"93de1cb0-58ee-4613-8334-514ae8ff6df7","year":2015},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.543987Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:7440422e7db10f7addfa20ac46811b45a7d3e63a96069043d8780085eb76a2f7","observation_id":"4df971a6-20bf-4fa5-b3a8-7c0fc3b63243","resolution":{"observed_at":"2026-08-07T05:35:07.734241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-07T05:35:07.546459Z","title":"Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.546459Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:45ac4fab4138623945b6b8f6f88f9c0455e9bae2c5a168496ec5cc00f60eb942","observation_id":"7152beaf-d503-4d06-b6bb-1648e3db36e0","resolution":{"observed_at":"2026-08-07T05:35:07.546459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18869","last_updated":"2024-09-27T16:06:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-27T16:06:11Z","title":"Emu3: Next-Token Prediction is All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18869","snapshot_observed_at":"2026-08-07T05:35:07.549120Z","title":"Emu3: Next-token prediction is all you need","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.549120Z"},"links":{"cited_paper":"/paper/2409.18869","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:034a0ee2a4ae6fd4d110381ad7b9d3667514b713b25ae8bdad73b0dc2a3a84e6","observation_id":"6ec42933-9658-4d4d-bae5-cb32631ca441","resolution":{"observed_at":"2026-08-07T05:35:07.549120Z","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":"2026-08-07T05:35:07.724062Z","title":"Revisiting text-to-image evaluation with gecko: on metrics, prompts, and human rating","venue":null,"work_id":"33d2c774-76af-4178-84c3-6692bef13fcd","year":2025},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.551604Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:0214d3ac5a04d1fb64e965218af17735f6ad1e2a987811654ae1b96d55f9a239","observation_id":"bc5b6261-c4eb-4123-88ea-6c5fb6c53f77","resolution":{"observed_at":"2026-08-07T05:35:07.726867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.555473Z","title":"Qwen2 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.555473Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:12961e0bac318258a7d1e5414eb5d9c6ad9d6929ba79bc31a3dd6ad4f41f8253","observation_id":"e1551c2c-82c2-4a37-aec7-4f2a0c12697f","resolution":{"observed_at":"2026-08-07T05:35:07.555473Z","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":"2026-08-07T05:35:07.713086Z","title":"What you see is what you read? improving text-image alignment evaluation","venue":null,"work_id":"2baf5b83-8bef-41b8-a2e9-5b8b6ce576eb","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.558115Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:0942d1b87c1d2eaa14ddf88dcade559fa9c2d0b83678c5c2a8a8a655c8fec890","observation_id":"0310f027-9950-4b41-863d-1b89ca84d92a","resolution":{"observed_at":"2026-08-07T05:35:07.716021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.561117Z","title":"mplug-owl3: Towards long image-sequence understanding in multi-modal large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.561117Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:c66aa6e04017c050cc2a551e1c2daed2d1b167c6129c6b6a1434827043799216","observation_id":"2ddfef96-d776-4305-8989-119c3390fb8a","resolution":{"observed_at":"2026-08-07T05:35:07.561117Z","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":"2026-08-07T05:35:07.702253Z","title":"mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration","venue":null,"work_id":"6b810832-aa3a-45b2-89fa-36273490031b","year":2024},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.564147Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:d9d7c16dea8ad224c51e7676ed0d98f33ed221af3753133e0335cf28c1a58248","observation_id":"45fbf3a6-f8c4-447e-acfb-1b7a95a42332","resolution":{"observed_at":"2026-08-07T05:35:07.704871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.567482Z","title":"From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.567482Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:707f1edb0e3957a7865b1a86b507689569edd38b97a22d6d62391a523f879d64","observation_id":"44a46f49-79fe-40a8-a003-58ce9ac93070","resolution":{"observed_at":"2026-08-07T05:35:07.567482Z","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":"2026-08-07T05:35:07.690947Z","title":"Sigmoid loss for language image pre-training","venue":null,"work_id":"7bcee7c1-64c4-4d6d-b290-d57d4eb07851","year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.569998Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:00dadb8ec1aeab2cc1d11e356423fae15c84872f897a3b3dc0a4fcd710bff6c9","observation_id":"33bd29fd-1b00-4cde-9719-c3bd5a63c087","resolution":{"observed_at":"2026-08-07T05:35:07.693511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.572403Z","title":"Minigpt-4: Enhancing vision-language understanding with advanced large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.572403Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:13cb9b3cc4106927ae0f79c387af1d1aa7dea2007b8505d13482b25c3524574b","observation_id":"0311e37c-d5b8-4557-a6e6-d75824dd8a54","resolution":{"observed_at":"2026-08-07T05:35:07.572403Z","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":"2026-08-07T05:35:07.683918Z","title":null,"venue":null,"work_id":"22bcd19d-84c5-4b41-b0e8-dc894302b431","year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.574912Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:86df55077ce0e95a1522ed7a9160dbce1f757ca0b2ab2ab2a6adba831fc2665d","observation_id":"fa88539a-0b38-4748-bd8b-b1178932fae6","resolution":{"observed_at":"2026-08-07T05:35:07.686449Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.676870Z","title":null,"venue":null,"work_id":"007ac394-dd53-4790-bd52-e06dc5d58bea","year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.577669Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:716fc741e1ae86573853dde7baea9e6e22986d45825a70b04b540586d11717ff","observation_id":"1efc8f4c-1b0b-4c6a-bdbf-7ab75ac87d99","resolution":{"observed_at":"2026-08-07T05:35:07.679373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.669339Z","title":"In each leaderboard (Tables 7, 9, and 8), rows list the 14 caption-generating VLMs from DOCCI- Critique (details in Table 2)","venue":null,"work_id":"df74884b-7fde-4577-b19e-c3ba4535e40a","year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.580333Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:65b4412c52fe14fc6b4a984ee25b844794b2261cdd4b8dcbff09ef4b1123e321","observation_id":"3bc65447-487a-4373-a571-61a820d92695","resolution":{"observed_at":"2026-08-07T05:35:07.672282Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T05:35:07.659620Z","title":"The pig back hooves are pink, not black. The front hooves are not visible","venue":null,"work_id":"116117f5-3b01-4c72-821c-e994188fff6c","year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.583094Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:1409362e3ad4a697acb8805699a38e32ee4963b3d2eba5234829ef98791cf3e3","observation_id":"b542ba00-98fa-4bd2-a0ba-08e97a60804b","resolution":{"observed_at":"2026-08-07T05:35:07.664367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:35:07.441050Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:07.441050Z"},"links":{"citing_paper":"/paper/2506.07631"},"observation_digest":"sha256:46212d645f08d5822c44c3c4fc733519a450648853e44876fd533c58599d02e2","observation_id":"2da8a43c-4187-412b-a090-a75b1583a7e4","resolution":{"observed_at":"2026-08-07T05:35:07.441050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07631","last_updated":"2025-06-09T10:57:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T13:14:15.841380Z","submitted_at":"2025-06-09T10:57:26Z","title":"Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":30},"total_outbound_references":54},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2506.07631."}