{"as_of":"2026-08-07T23:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fed5ef5decd3bc6f3d805c33c78ba346f5e57e097a148dde859baf7ba91fe832","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:18:32.291357Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.08429/citation-record","integrity":"/paper/2506.08429/integrity","json":"/paper/2506.08429/citation-record.json","paper":"/paper/2506.08429"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T05:18:25.369866Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.369866Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:4ba5c8f190ac3ff8ea513d081e51a4e8c7db55fde61f186d16af2666063bd289","observation_id":"4ad9393f-be89-466d-878f-0caa3ec0c182","resolution":{"observed_at":"2026-08-07T05:18:25.369866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T05:18:25.466032Z","title":"Qwen2.5-vl technical report","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.466032Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:02befcf051f1edc43fc1b258e2ac86690020a347573eb948fae2c2cbe05c3b43","observation_id":"30ba1944-0bfd-42ac-a281-8d30b8c7c3d1","resolution":{"observed_at":"2026-08-07T05:18:25.466032Z","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":"2026-08-07T05:18:39.615980Z","title":"Sharegpt4v: Improving large multi-modal models with better captions","venue":null,"work_id":"6dbec5a9-0e93-4dc4-8433-fa7e47898af2","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.537689Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:776febb19d06247bf2a0282ee2acc9646e76ceaa752a35672cdb1fd13c7d5a22","observation_id":"cd7edd8b-493a-4b75-9cc8-c113c5ebcca7","resolution":{"observed_at":"2026-08-07T05:18:39.765984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:39.435052Z","title":"Sharegpt4video: Improving video understanding and generation with better captions.Advances in Neural Information Processing Systems, 37:19472– 19495, 2024","venue":null,"work_id":"9506fe45-bb53-45f4-a911-3da92e6bf382","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.593395Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:56f8ce0b062215a35c0c4e47a94dfd3161984199632155274bbe0f4fb19d4275","observation_id":"7696fa0c-e0d3-4850-acc1-a2b25154bcdc","resolution":{"observed_at":"2026-08-07T05:18:39.524871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02347","last_updated":"2021-03-22T22:01:05Z","snapshot_observed_at":"2026-07-06T10:01:44.473772Z","submitted_at":"2020-10-05T21:44:09Z","title":"Learning with Instance-Dependent Label Noise: A Sample Sieve Approach","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02347","snapshot_observed_at":"2026-08-07T05:18:25.734664Z","title":"Learning with instance-dependent label noise: A sample sieve approach.arXiv preprint arXiv:2010.02347, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.734664Z"},"links":{"cited_paper":"/paper/2010.02347","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:8f776818ba68fe7e93271c7082d29eee605612284ad005eac4430a0878d552fc","observation_id":"1a67ae3d-42aa-416e-8f56-380513413022","resolution":{"observed_at":"2026-08-07T05:18:25.734664Z","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":"2026-08-07T05:18:25.844111Z","title":"Imagenet: A large- scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.844111Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:91b7be71a573b2bb3670e077845de5799c6569e45a8dbc588bf3c4d064bd462c","observation_id":"8e93e4ae-86e9-4fcd-bc84-51b4191fa081","resolution":{"observed_at":"2026-08-07T05:18:25.844111Z","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":"2026-08-07T05:18:25.988934Z","title":"Vlmevalkit: An open-source toolkit for evaluating large multi-modality models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.988934Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:1402a10d235b75586da2e31d6dee2f2d5d9d39f24d966fe384e1f1409160a9e9","observation_id":"ca8da7d1-afe5-4079-bdce-79cb7169b44f","resolution":{"observed_at":"2026-08-07T05:18:25.988934Z","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":"2026-08-07T05:18:39.148196Z","title":"Vector-valued property elicitation","venue":null,"work_id":"73fe3e49-4fe9-40eb-a28c-3ed62c6c16db","year":2015},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.146302Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:659febfdf62f29ef945b50e0399b222c0a98646f4b0e96f58dd966a66f89799c","observation_id":"46e80091-dfe4-41c2-a645-a1aa13ff598d","resolution":{"observed_at":"2026-08-07T05:18:39.284729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07858","last_updated":"2022-11-22T19:12:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-23T23:37:14Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.07858","snapshot_observed_at":"2026-08-07T05:18:26.284213Z","title":"Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned.arXiv preprint arXiv:2209.07858, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.284213Z"},"links":{"cited_paper":"/paper/2209.07858","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:a6da6e552df33b354f7d4e548f3246aa007c3f9249bc2e9e75a42df6f3b2c35c","observation_id":"14ba60b2-1b58-487e-ac07-5b72ea824f5d","resolution":{"observed_at":"2026-08-07T05:18:26.284213Z","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":"2026-08-07T05:18:26.449498Z","title":"Strictly proper scoring rules, prediction, and estimation","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.449498Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:38b2bf5b819a41ecc7f190598f2a3a89554dfbffab7222897a39387111297fcc","observation_id":"2c1b38ed-daa9-42f2-93fe-2a0f6e84ebd8","resolution":{"observed_at":"2026-08-07T05:18:26.449498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.10487","last_updated":"2022-05-21T02:14:27Z","snapshot_observed_at":"2026-08-04T13:21:32.121470Z","submitted_at":"2022-05-21T02:14:27Z","title":"Scaling Laws and Interpretability of Learning from Repeated Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.10487","snapshot_observed_at":"2026-08-07T05:18:26.534084Z","title":"Scaling laws and interpretability of learning from repeated data.arXiv preprint arXiv:2205.10487, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.534084Z"},"links":{"cited_paper":"/paper/2205.10487","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:56fde56c111e792486e4831bf433fb0f9d90f21aa62fe6ab5d87f894ee4197ac","observation_id":"b7e437ff-ee46-408d-b8be-aa5edf99531d","resolution":{"observed_at":"2026-08-07T05:18:26.534084Z","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":"2026-08-07T05:18:38.944211Z","title":"An information theoretic framework for designing information elicitation mechanisms that reward truth-telling.ACM Transactions on Economics and Computation (TEAC), 7(1):1–33, 2019","venue":null,"work_id":"ffdd9fe0-d4e7-4ea9-9ed0-fc46491522de","year":2019},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.706911Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:57e1472e2a867cb47302f7235099edbdfb3c3196014d68f9f6460168a19bb9fa","observation_id":"0e9d375d-710f-41b2-9868-d7a52447f854","resolution":{"observed_at":"2026-08-07T05:18:39.009870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:26.869253Z","title":"Deduplicating training data makes language mod- els better","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.869253Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:c86f5005fc75f7050b0db4dd3cd814c5de67024ba3c62c1da4dbbdabe605e0f8","observation_id":"70533f49-1bab-44e3-ae3d-91547fc7710a","resolution":{"observed_at":"2026-08-07T05:18:26.869253Z","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":"2026-08-07T05:18:26.983371Z","title":"Seed-bench: Benchmarking multimodal large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.983371Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:82ebe89f10b6f50dd8aa97f79d115b31771141093f74e69c7ff4e6673459a7d9","observation_id":"0de36734-6d83-4398-bdc7-e44b15cb81d5","resolution":{"observed_at":"2026-08-07T05:18:26.983371Z","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":"2026-08-07T05:18:27.090883Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.090883Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:369c31dbe31d4332f08a33309bab2b76a986cefe09916a528a25f134126218ba","observation_id":"82f169e5-1a37-4be2-b437-573cb65ae4f8","resolution":{"observed_at":"2026-08-07T05:18:27.090883Z","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":"2026-08-07T05:18:38.706096Z","title":"BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation","venue":null,"work_id":"d59cddc0-0b80-4e50-9bcd-e732ab275527","year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.231445Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:a5a8c31cf3c8903dbb9d17ddf6502427f0a574d69e09d5e5612a905a5b10e1b4","observation_id":"8ebb00c3-0676-4f07-88c5-7d8ec34ff99f","resolution":{"observed_at":"2026-08-07T05:18:38.860408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:27.389895Z","title":"Align before fuse: Vision and language representation learning with momentum distillation.Advances in neural information processing systems, 34:9694–9705, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.389895Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:a78041c5377cda17e173fa1f8bc09f2d5bb47ad0425550c65e82e3bc7e169aa6","observation_id":"22da6bf4-8d74-45ee-8498-3377cf10238f","resolution":{"observed_at":"2026-08-07T05:18:27.389895Z","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":"2026-08-07T05:18:38.498066Z","title":"Georeasoner: Geo-localization with reasoning in street views using a large vision-language model","venue":null,"work_id":"e3302af3-9a14-4413-b21b-e77ffe758637","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.497151Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:8de6b72705e98124e110916ddf02d4e1696b3f86e2c9d73216ec6e62d5139590","observation_id":"5bc5edde-9799-4984-b87b-e4fb546d2577","resolution":{"observed_at":"2026-08-07T05:18:38.566552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:27.581163Z","title":"A survey of multimodel large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.581163Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:61c040d1780303de1a5fd5b6e5a8a78e43df863281e6602b3cd6b043bc0602b4","observation_id":"bb6c0603-795f-4f8a-ae16-3ecaf460942b","resolution":{"observed_at":"2026-08-07T05:18:27.581163Z","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":"2026-08-07T05:18:27.710532Z","title":"Improved baselines with visual instruction tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.710532Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:9452e701c5dca10dfad1c2c265b374554c47c3db0f9adc32aabdec0d959db428","observation_id":"0191fa64-8446-4708-adc2-14f584b20a37","resolution":{"observed_at":"2026-08-07T05:18:27.710532Z","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":"2026-08-07T05:18:27.846831Z","title":"Visual instruction tuning.Advances in neural information processing systems, 36, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.846831Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:2030e3e85bc15486b420bd766bf0e3d6a3d198ac706c056c733f7fe4e4c5fd02","observation_id":"e4a3d8ae-3b10-41ca-ba52-10ed7c1b53c1","resolution":{"observed_at":"2026-08-07T05:18:27.846831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11338","last_updated":"2026-04-19T00:17:32Z","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T04:45:12Z","title":"Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11338","snapshot_observed_at":"2026-08-07T05:18:27.887291Z","title":"Automatic dataset construction (adc): Sample collection, data curation, and beyond.arXiv preprint arXiv:2408.11338, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.887291Z"},"links":{"cited_paper":"/paper/2408.11338","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:543e8d89348e09491c90d9218713df4f6d70a853cee59a07ed5c68de15e2f681","observation_id":"b0e39791-a56a-44c4-af38-3cb6460f469d","resolution":{"observed_at":"2026-08-07T05:18:27.887291Z","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":"2026-08-07T05:18:27.989365Z","title":"Classification with noisy labels by importance reweighting","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.989365Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:41f4ffb80f3b39515d48fb71f1e1b371363e586fe045c773591cf166c74f4bca","observation_id":"12d76d91-23a7-4af8-a09b-50373bb53c8e","resolution":{"observed_at":"2026-08-07T05:18:27.989365Z","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":"2026-08-07T05:18:38.152425Z","title":"Peer loss functions: Learning from noisy labels without knowing noise rates","venue":null,"work_id":"715e4b08-1c5e-4283-934f-311e20fc913b","year":2020},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.056233Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:d3e8abf3b0b8a8611e2a31ece04272c230201ab47c283f2f5383af800bb01c66","observation_id":"b2ac3370-907e-4a51-954e-6ea52654f70b","resolution":{"observed_at":"2026-08-07T05:18:38.284256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:37.942287Z","title":"Auditing for federated learning: A model elicitation approach","venue":null,"work_id":"457283dd-fff9-46c0-8e61-84eb03833130","year":2023},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.105869Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:feae11b4875b63fbac9d5929a0ae357f5c4dadf7468a36b776b871215c04b69f","observation_id":"c87d66bf-942d-4383-b018-bf7a84b3cedc","resolution":{"observed_at":"2026-08-07T05:18:38.093262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10596","last_updated":"2020-07-21T04:55:31Z","snapshot_observed_at":"2026-08-04T09:13:44.155396Z","submitted_at":"2020-07-21T04:55:31Z","title":"Incentives for Federated Learning: a Hypothesis Elicitation Approach","version":1},"cited_work":{"arxiv_id":"2007.10596","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.10596","snapshot_observed_at":"2026-08-07T05:18:32.854225Z","title":"Incentives for Federated Learning: a Hypothesis Elicitation Approach","venue":"cs.LG","work_id":"3ad19c03-3015-4a76-847d-2d4f540f63a1","year":2020},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.271391Z"},"links":{"cited_paper":"/paper/2007.10596","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:af15cdfb6472693eccae8839b8032622419b6ab2f5ece9ba569bfce269081bf2","observation_id":"46d9ba33-eec9-4b95-968a-4838c0934b48","resolution":{"observed_at":"2026-08-07T05:18:32.942861Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:37.599039Z","title":"Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233","venue":null,"work_id":"a17f02b7-a450-475b-9da3-d6503668c4e3","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.414469Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:6ea26de8ccddb767c4000b489b2057d132e5bec11a439014a3698fbabc885723","observation_id":"3d3b8d4c-da42-4d9e-8142-c75e2ce88e47","resolution":{"observed_at":"2026-08-07T05:18:37.788379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:37.258616Z","title":"Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning","venue":null,"work_id":"e799db97-7e46-41c7-a59a-c6bc2dd40dcb","year":2021},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.482389Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:b432fcc8957cbb473280aa77e565b1eacc652fd6a619349b946a77fc246ee23c","observation_id":"cc976fd7-c43b-4104-81af-e25e912b1dd7","resolution":{"observed_at":"2026-08-07T05:18:37.410291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:37.030208Z","title":"Learn to explain: Multimodal reasoning via thought chains for science question answering.Advances in Neural Information Processing Systems, 35:2507–2521, 2022","venue":null,"work_id":"00389806-2063-486c-bed5-156c9902ce1f","year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.604397Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:194c3242d5734d890ba6a9e158cec09f65a21f917e6a97eb140d8268abd0952b","observation_id":"47e64244-cb25-49c9-bc34-13312f93e162","resolution":{"observed_at":"2026-08-07T05:18:37.146429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:36.793579Z","title":"ChartQA: A benchmark for question answering about charts with visual and logical reasoning","venue":null,"work_id":"f38edb34-9b13-4d8f-8fa8-9f9ec4ebe9ad","year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.728326Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:203193b8375d73bdea258eb8dc62810d7d3c4c4c375b92b71269d74123514991","observation_id":"3c586249-cce1-4ba5-9142-aa9fa34a5448","resolution":{"observed_at":"2026-08-07T05:18:36.902481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:28.803930Z","title":"Infographicvqa","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.803930Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:21d7ff471a386bf8d3a32a7f1cc7bcd946ed7ce3b044169bc010ae03e85d244c","observation_id":"4fc54a44-230e-441f-b27f-4f425efcf94c","resolution":{"observed_at":"2026-08-07T05:18:28.803930Z","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":"2026-08-07T05:18:28.894756Z","title":"Docvqa: A dataset for vqa on document images","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.894756Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:beb72ce0b5aee27c931be67ec1ed4ebbecc60dd6a6cc5ae6c9542e70327dab92","observation_id":"afb1f0cd-e555-43f4-ad44-d723aacfee33","resolution":{"observed_at":"2026-08-07T05:18:28.894756Z","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":"2026-08-07T05:18:29.002433Z","title":"Measures of the value of information.Proceedings of the National Academy of Sciences, 42(9):654–655, 1956","venue":null,"work_id":null,"year":1956},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.002433Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:e9139b4d3369487dec72f24483045b361b0a32176165706880485a9519e9649b","observation_id":"6611d50b-d8cf-4e65-874a-1de07b6804db","resolution":{"observed_at":"2026-08-07T05:18:29.002433Z","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":"2026-08-07T05:18:36.502841Z","title":"Mm1: methods, analysis and insights from multimodal llm pre-training","venue":null,"work_id":"132f6ff7-9559-48b4-9887-4311604bc6ae","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.080756Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:f53f471dbf49d23bb67da4e151718421832852379a7b40af32509710bb7f383d","observation_id":"e972d6d3-5951-4852-9941-156466a4ab31","resolution":{"observed_at":"2026-08-07T05:18:36.624517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:29.208046Z","title":"Learning with noisy labels.Advances in neural information processing systems, 26, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.208046Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:f1104488b6bf4b92d5b181b75aa81e3be3d50723652636794e4b3f1427a48fa7","observation_id":"c3283e3e-017f-4ff2-bbc8-70f754b0f427","resolution":{"observed_at":"2026-08-07T05:18:29.208046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T05:18:29.374767Z","title":"GPT-4o system card.arXiv preprint arXiv:2410.21276, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.374767Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:a69a63449f6dc9fc647cf2bd1467493e3bc5a5f6d7ccbd32c79a82b406a241ba","observation_id":"4f60497d-c39a-4ce8-892d-7765de9c0bc6","resolution":{"observed_at":"2026-08-07T05:18:29.374767Z","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":"2026-08-07T05:18:29.459883Z","title":"Token cleaning: Fine-grained data selection for llm supervised fine-tuning.arXiv preprint arXiv:2502.01968, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.459883Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:2a65f91030fe72b201257c7af2ec4639a1e31a69fa055de5372fb6b7831d168d","observation_id":"9483fcd6-c4d0-40fd-8773-82b3d8b91e37","resolution":{"observed_at":"2026-08-07T05:18:29.459883Z","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":"2026-08-07T05:18:36.339357Z","title":"Improving data efficiency via curating LLM-driven rating systems","venue":null,"work_id":"8db8b0b6-7d3d-417e-b537-0e8a82f978fd","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.599735Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:178e58be51fc2f4cb46e172b1714d05a70ff7a34337d7dc020c5557c8660f574","observation_id":"7aefbebe-7a0f-4085-8f8b-6830baa6fab6","resolution":{"observed_at":"2026-08-07T05:18:36.398236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:29.789904Z","title":"Deep learning on a data diet: Finding important examples early in training.Advances in neural information processing systems, 34:20596–20607, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.789904Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:50c6f3c3a89be03f8d70fc34790b0b2f7a3f2b327aed4300bd3585b9c9941c9a","observation_id":"c6f811bb-816f-4c85-bb27-f34c07dfd9ba","resolution":{"observed_at":"2026-08-07T05:18:29.789904Z","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":"2026-08-07T05:18:29.930659Z","title":"Estimating training data influence by tracing gradient descent.Advances in Neural Information Processing Systems, 33:19920–19930, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.930659Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:ac79261eb616fea826ca89061164f4b8c68c3a8eb8bb3c48a360e9a814d1f9a2","observation_id":"ee1b06fc-af93-4c13-b07e-a4f7a61bdcb8","resolution":{"observed_at":"2026-08-07T05:18:29.930659Z","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":"2026-08-07T05:18:30.012129Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.012129Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:e4d3b650cf053e2c42177248816938a062341c0a239d2c8613e228487f63d782","observation_id":"00ed9d23-d245-4685-aae4-ef8863351432","resolution":{"observed_at":"2026-08-07T05:18:30.012129Z","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":"2026-08-07T05:18:30.103592Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.103592Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:c5ce5fac137e712bb323aed375331d85dbe56ef80dc6977ad6861026f5d095cd","observation_id":"7b3ddd6c-bcad-43bf-ba48-4b0df8c27589","resolution":{"observed_at":"2026-08-07T05:18:30.103592Z","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":"2026-08-07T05:18:30.242353Z","title":"A-okvqa: A benchmark for visual question answering using world knowledge","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.242353Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:f4b54ed3fa340e8a528064db782f35a58ad0ad9d9c07896f04d76be4ea679a1f","observation_id":"d0470a9d-3d60-48c5-8e65-48916d947574","resolution":{"observed_at":"2026-08-07T05:18:30.242353Z","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":"2026-08-07T05:18:36.017464Z","title":"On the diversity and realism of distilled dataset: An efficient dataset distillation paradigm","venue":null,"work_id":"4a04a7d5-7bba-458b-934d-5b7112e87374","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.371591Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:8e9a39d88bbaffb1eb066d994dd0d5ea90759c5a731bdfc7b4bf8c2e06b02bc2","observation_id":"56106ba5-1a86-4f0b-ba97-ab0d8b347d06","resolution":{"observed_at":"2026-08-07T05:18:36.170849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:35.711344Z","title":"Data pruning via moving-one-sample-out.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"16bdd487-846e-4e54-8fbf-a23a4699f53f","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.500544Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:204d14a4bf1b5578f522d75b616cde28b5e5496ce55c9074b7cc99999268cd83","observation_id":"7b3927fe-ff0c-474b-b51b-96e9b17d00ca","resolution":{"observed_at":"2026-08-07T05:18:35.840485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:30.658033Z","title":"Cambrian-1: A fully open, vision-centric exploration of multimodal llms.Advances in Neural Information Processing Systems, 37:87310–87356, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.658033Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:471c1d0fdfe88a4fcb93722f1566f678a38971727d0025759d527ff129e2060e","observation_id":"20c001ef-ef46-433d-bc5d-bbc8ba25af34","resolution":{"observed_at":"2026-08-07T05:18:30.658033Z","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":"2026-08-07T05:18:35.399368Z","title":"The all-seeing project v2: Towards general relation comprehension of the open world","venue":null,"work_id":"6bc2bbe6-c419-4090-91d4-7412808c6ebb","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.777436Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:a49e4706cd1a694db53f390ce87c54aa942d71248eef2bfc003ed5bb91cd842e","observation_id":"afdfb87e-abbb-4dff-9aaf-1c8b1878f560","resolution":{"observed_at":"2026-08-07T05:18:35.541443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:35.107794Z","title":"Sample elicitation","venue":null,"work_id":"1667b9a5-6ac4-48a5-85bb-e0a226558ae2","year":null},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.862157Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:3041470c110f87cd27571af5d301fb9de65befd8d9bb7fb022c214dc5c843102","observation_id":"af091e3c-2d7c-41b3-a49a-e8e79d5cb94c","resolution":{"observed_at":"2026-08-07T05:18:35.282413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:34.899655Z","title":"To smooth or not? when label smoothing meets noisy labels","venue":null,"work_id":"7849c2f0-e0a0-45fb-886b-9a24f1ad011b","year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.952151Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:444aa55228117154f1ff9babe9f2d60c6e9ac843e49c1491ee7fae0159026e14","observation_id":"fde1f571-bed4-4688-ad2d-71d0729f0b87","resolution":{"observed_at":"2026-08-07T05:18:34.964366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10412","last_updated":"2024-06-06T18:33:02Z","snapshot_observed_at":"2026-07-06T17:30:56.216307Z","submitted_at":"2024-02-16T02:32:06Z","title":"Measuring and Reducing LLM Hallucination without Gold-Standard Answers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10412","snapshot_observed_at":"2026-08-07T05:18:31.068181Z","title":"Measuring and reducing llm hallucination without gold-standard answers.arXiv preprint arXiv:2402.10412, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.068181Z"},"links":{"cited_paper":"/paper/2402.10412","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:29c757444fc30c0ff5944a7594f34487a77d2cfc8298d8806fc9ded34c260036","observation_id":"1a554789-048c-4340-a941-dc18e09cb828","resolution":{"observed_at":"2026-08-07T05:18:31.068181Z","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":"2026-08-07T05:18:31.180027Z","title":"Learning with noisy labels revisited: A study using real-world human annotations","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.180027Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:2f7fdad2a95e8d0b7bd865f8a499b7799f8f782aad4e66163da48ef7b57bd33a","observation_id":"7ccea7ff-2882-4d31-b123-f4cae785a0af","resolution":{"observed_at":"2026-08-07T05:18:31.180027Z","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":"2026-08-07T05:18:34.695564Z","title":"Icm-assistant: Instruction-tuning multimodal large language models for rule-based explainable image content moderation","venue":null,"work_id":"5f088be0-61cc-4ece-8ba4-4a79d7a642ff","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.327745Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:21a70747f0a0e9106d486f8d58809669e4047a893dd0662ad0327ab5be9bba72","observation_id":"79e27592-0ee9-475f-9144-b91acb9147e9","resolution":{"observed_at":"2026-08-07T05:18:34.759912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:34.472038Z","title":"Less: Selecting influential data for targeted instruction tuning","venue":null,"work_id":"9e0b7796-3000-450c-a925-5add779827d8","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.408064Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:0b0af5937a4ca232d8b76a7ff325fc60908781f3c14d4ef51d7a348944e93494","observation_id":"bc6e41dc-8225-416a-a68d-596d15e7c493","resolution":{"observed_at":"2026-08-07T05:18:34.601313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:34.186955Z","title":"LESS: Selecting influential data for targeted instruction tuning","venue":null,"work_id":"ebbf8e83-965d-4f8e-bb25-631429e2f584","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.567598Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:38cda51028de1855c68da52aa4cd25a9c9f8991ce27b40d88ad3fc2ea6fb7d88","observation_id":"cd9fed96-cc9f-4762-a865-081c58f7fc22","resolution":{"observed_at":"2026-08-07T05:18:34.295376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T05:18:31.670492Z","title":"Qwen2.5 technical report.arXiv preprint arXiv:2412.15115, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.670492Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:1986954fce81820c0b0c1d5fe3f7c76db0272942121cbc222d3790ebed8bba1f","observation_id":"e3d59799-1e31-4512-a6e6-12104163dc4c","resolution":{"observed_at":"2026-08-07T05:18:31.670492Z","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":"2026-08-07T05:18:34.065701Z","title":"Robust noisy correspondence learning with equivariant similarity consistency","venue":null,"work_id":"a069254c-0429-4d45-ae6d-2e3e8d4f1236","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.787731Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:4481f757a488eea4d7a7622b4553c74f02e9c33fd0de446fb9fe5225af3ab6be","observation_id":"ce9d56b3-2f6b-41a0-83bc-a3d7535b8331","resolution":{"observed_at":"2026-08-07T05:18:34.116037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09197","last_updated":"2025-03-12T09:39:33Z","snapshot_observed_at":"2026-08-07T17:10:38.484194Z","submitted_at":"2025-03-12T09:39:33Z","title":"Teaching LMMs for Image Quality Scoring and Interpreting","version":1},"cited_work":{"arxiv_id":"2503.09197","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.09197","snapshot_observed_at":"2026-08-07T05:18:32.538232Z","title":"Teaching LMMs for Image Quality Scoring and Interpreting","venue":"cs.CV","work_id":"be57289b-f19e-47de-9301-7119b1babf32","year":2025},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.936317Z"},"links":{"cited_paper":"/paper/2503.09197","citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:41e7943bc9cf5d45e92083935b306f30c90c81a7c214df95c9b8551075c78fc3","observation_id":"39bb99c5-8a07-4aca-b3c6-5d2e52d1d2fb","resolution":{"observed_at":"2026-08-07T05:18:32.636438Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:33.732945Z","title":"Mitigating noisy correspondence by geometrical structure consistency learning","venue":null,"work_id":"1119ba1d-6ea0-4e86-82a2-aac0300e5e08","year":2024},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:32.081226Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:4f8255c21792ec57fc02e825c93ce41141f69b26782c27ad95c9647a6ad70204","observation_id":"3b42e55c-aa2e-4695-bf44-64d7a03d3da7","resolution":{"observed_at":"2026-08-07T05:18:33.941718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:33.437626Z","title":"Unmasking and improving data credibility: A study with datasets for training harmless language models","venue":null,"work_id":"bfb91a4d-5cf7-4c61-91ac-87963c675a42","year":null},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:32.158961Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:56e880a3ba3f581ef871af5fd9ec3c4a4129179b1f04f244578d88c96589be5b","observation_id":"b8512f64-df14-436e-bcad-a79f90feac1d","resolution":{"observed_at":"2026-08-07T05:18:33.588451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:18:33.179202Z","title":"Spatial Relationship","venue":null,"work_id":"5111a0ae-6837-4925-b183-9963fdd2381d","year":2023},"citing_paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:32.291357Z"},"links":{"citing_paper":"/paper/2506.08429"},"observation_digest":"sha256:9b033ffd26da7f06f52f55c10f004c643c9ef77dace0dc2ed275bf50921e3643","observation_id":"68c9754c-4a86-40c4-a2af-a13d9079a6fa","resolution":{"observed_at":"2026-08-07T05:18:33.309558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.08429","last_updated":"2025-06-10T04:04:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T05:09:05.192461Z","submitted_at":"2025-06-10T04:04:58Z","title":"Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":60},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2506.08429."}