{"as_of":"2026-08-11T12:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:49473ce3385b0c3777524f4729f8dd95eeb39ae3fdf0e241cd064df5d1ac97b5","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T08:37:51.068749Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2607.24799/citation-record","integrity":"/paper/2607.24799/integrity","json":"/paper/2607.24799/citation-record.json","paper":"/paper/2607.24799"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T08:37:50.981180Z","title":"https://huggingface.co/cross-encoder/ ms-marco-MiniLM-L6-v2, Accessed: 19.02.2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:50.981180Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:dc64ed429917a65f7d9afc632b2510cbb07059d92281706da4975dd245257641","observation_id":"bf58c25b-ba3f-41af-8ad5-7b55d20a5580","resolution":{"observed_at":"2026-08-02T08:37:50.981180Z","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":"2026-08-02T08:37:50.986225Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:50.986225Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:1e14a0b3e3196ee9ca00a9777cd165d4a53cc09734efeca80e62fed7194d74cb","observation_id":"e9bd260f-ef91-4cea-a3b4-588f42ee5a44","resolution":{"observed_at":"2026-08-02T08:37:50.986225Z","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":"2026-08-02T08:37:50.990615Z","title":"https://huggingface.co/datasets/ZhaoweiWang/MMLongBench , Accessed: 19.11.2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:50.990615Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:bcb0626f4c807e8da6aa42a131b8e6e5612c84323fdfa267a661ec113fae1159","observation_id":"1d669183-07cb-4706-9600-df3dcf242dec","resolution":{"observed_at":"2026-08-02T08:37:50.990615Z","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":"2026-08-02T08:37:50.995346Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:50.995346Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:9ca226e28a50bbe0665119d226845bd66c45be59ecadca18c1cbcd12d92dcae2","observation_id":"5765f82b-08c6-4a24-a823-52b7d4d024ec","resolution":{"observed_at":"2026-08-02T08:37:50.995346Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-02T08:37:50.999706Z","title":"Efficient inverted indexes for approximate retrieval over learned sparse representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:50.999706Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:8bb34e16444c02b3f06521f2351c7987f6c53b9a19883b8baccffb0875390c7d","observation_id":"41a56bc3-ba9c-42ee-841c-946887c15d51","resolution":{"observed_at":"2026-08-02T08:37:50.999706Z","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":"2026-08-02T08:37:51.004281Z","title":"Cormack, Charles L A Clarke, and Stefan Buettcher","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.004281Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:7a85c8849cde8e6d63be0a8fb335dfd7d748575a9eb02f3eb5d0c23e1b824424","observation_id":"37435af6-aa65-4631-8266-40531d287cb9","resolution":{"observed_at":"2026-08-02T08:37:51.004281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.01937","last_updated":"2018-03-05T21:35:04Z","snapshot_observed_at":"2026-08-01T11:54:25.770314Z","submitted_at":"2018-03-05T21:35:04Z","title":"ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.01937","snapshot_observed_at":"2026-08-02T08:37:51.009371Z","title":"ROUGE 2.0: Updated and improved measures for evaluation of summarization tasks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.009371Z"},"links":{"cited_paper":"/paper/1803.01937","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:bc28241b8e2b7b6e04bba7cad9b804774ef2483c288987f79b8d3d19b4dd3a27","observation_id":"36d9e126-6428-4e06-af7f-3c48e008d244","resolution":{"observed_at":"2026-08-02T08:37:51.009371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12325","last_updated":"2024-07-17T05:50:32Z","snapshot_observed_at":"2026-08-11T08:06:50.190980Z","submitted_at":"2024-07-17T05:50:32Z","title":"Optimizing Query Generation for Enhanced Document Retrieval in RAG","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12325","snapshot_observed_at":"2026-08-02T08:37:51.014236Z","title":"Optimizing query generation for enhanced document retrieval in rag, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.014236Z"},"links":{"cited_paper":"/paper/2407.12325","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:ff551a80258dc08df34cf1d4bf614cee1b32349df5b99ef8b9bd4a9a9d735f56","observation_id":"ac65c89b-3c2c-40b1-84ab-eeab0b0b1937","resolution":{"observed_at":"2026-08-02T08:37:51.014236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-02T08:37:51.018607Z","title":"Retrieval- augmented generation for knowledge-intensive NLP tasks.arXiv:2005.11401, 2020","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.018607Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:e7ed69844ec835754e7764d8ccb4d2badfd2811c40236d5b15905fbe4a28fe2b","observation_id":"6358cf62-6a87-4107-bc99-5acbbe1931c8","resolution":{"observed_at":"2026-08-02T08:37:51.018607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02189","last_updated":"2025-04-06T03:12:51Z","snapshot_observed_at":"2026-08-10T22:12:00.200330Z","submitted_at":"2025-01-04T04:59:33Z","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02189","snapshot_observed_at":"2026-08-02T08:37:51.023504Z","title":"A survey of state of the art large vision language models: Alignment, benchmark, evaluations and challenges, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.023504Z"},"links":{"cited_paper":"/paper/2501.02189","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:d1caea2525e7a45d2f1a67f385d8520c894cbc8b763c3e2f01f78fc7366a1e03","observation_id":"69e34859-f9c2-492b-86c9-1021b4391307","resolution":{"observed_at":"2026-08-02T08:37:51.023504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.09320","last_updated":"2018-08-14T19:29:07Z","snapshot_observed_at":"2026-07-06T04:51:12.932821Z","submitted_at":"2016-03-30T19:29:44Z","title":"Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.09320","snapshot_observed_at":"2026-08-02T08:37:51.028130Z","title":"Malkov and Dmitry A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.028130Z"},"links":{"cited_paper":"/paper/1603.09320","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:bb1edc5ffb8d68f1c867f592db0fa6f3dac51310767172897c3d6dabe5681590","observation_id":"e3701994-f0b4-4b6d-af79-428eb606a90c","resolution":{"observed_at":"2026-08-02T08:37:51.028130Z","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":"2026-08-02T08:37:51.033393Z","title":"Reimers and I","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.033393Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:b8882a35970b21723443f6f3b62fab2e3dedcc0095b0e02e9bec980ba7695539","observation_id":"f99aba0a-b637-437b-b7f6-5f47b72c0599","resolution":{"observed_at":"2026-08-02T08:37:51.033393Z","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":"2026-08-02T08:37:51.037607Z","title":"The probabilistic relevance framework: BM25 and beyond","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.037607Z"},"links":{"citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:a80cb4b3570a97c6638d346590a93f4d7af2b50e7d8926e8d6d7c05defa45b6c","observation_id":"ba44dd1c-68ba-4a6a-ae22-1684a6c556ef","resolution":{"observed_at":"2026-08-02T08:37:51.037607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07927","last_updated":"2025-03-16T06:23:34Z","snapshot_observed_at":"2026-08-05T17:55:26.008016Z","submitted_at":"2024-02-05T19:49:13Z","title":"A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07927","snapshot_observed_at":"2026-08-02T08:37:51.041912Z","title":"A systematic survey of prompt engineering in large language models: Techniques and applications, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.041912Z"},"links":{"cited_paper":"/paper/2402.07927","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:fe45812548e0c188f69d307925417013e527b51511d11d6364366bedf22ab73a","observation_id":"920cf934-3d92-4ceb-aca1-cc59863fae66","resolution":{"observed_at":"2026-08-02T08:37:51.041912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21568","last_updated":"2025-06-12T15:05:39Z","snapshot_observed_at":"2026-08-09T09:45:04.379494Z","submitted_at":"2025-06-12T15:05:39Z","title":"Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21568","snapshot_observed_at":"2026-08-02T08:37:51.046575Z","title":"Assessing rag and hyde on 1b vs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.046575Z"},"links":{"cited_paper":"/paper/2506.21568","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:be0333e72976c39c2a18169e5cb6c5691af3fb1bc55af8b77a8cd82cb8de4f1d","observation_id":"93b65abf-1578-487c-bc4d-f87bdaba9225","resolution":{"observed_at":"2026-08-02T08:37:51.046575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.20354","last_updated":"2025-11-01T23:38:27Z","snapshot_observed_at":"2026-08-01T16:32:32.583858Z","submitted_at":"2025-09-24T17:56:51Z","title":"EmbeddingGemma: Powerful and Lightweight Text Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.20354","snapshot_observed_at":"2026-08-02T08:37:51.059833Z","title":"Embeddinggemma: Powerful and lightweight text representations.arXiv preprint arXiv:2509.20354, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.059833Z"},"links":{"cited_paper":"/paper/2509.20354","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:98454fa46d2e12bcdd2b2bdb1694a1faa972ac96c8997575a5009837a2bd5710","observation_id":"0e1dcdb2-fb8d-45a9-bb1e-6787b4fe6625","resolution":{"observed_at":"2026-08-02T08:37:51.059833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-02T08:37:51.064004Z","title":"Qwen2 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.064004Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:483d26dd4d32e5843bd5eac3139501077016ffde82c27fda06147b94b6c6c521","observation_id":"eba47f43-641f-4209-8dc1-e700c14a7aa8","resolution":{"observed_at":"2026-08-02T08:37:51.064004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-02T08:37:51.068749Z","title":"Weinberger, and Yoav Artzi","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.068749Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:802b26023639d1645442fac4fae98a228d2e3ece8fa06f4b89c5bd4e2761c91e","observation_id":"19e155bc-92a7-4937-8f30-4122863da110","resolution":{"observed_at":"2026-08-02T08:37:51.068749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08663","last_updated":"2021-10-21T01:18:28Z","snapshot_observed_at":"2026-08-09T23:22:21.200279Z","submitted_at":"2021-04-17T23:29:55Z","title":"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08663","snapshot_observed_at":"2026-08-02T08:37:51.055725Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-02T08:37:51.055725Z"},"links":{"cited_paper":"/paper/2104.08663","citing_paper":"/paper/2607.24799"},"observation_digest":"sha256:31944ebe6e5e226e61d192a241ce90d8619ff8d443c82829cff79963decde187","observation_id":"702a785f-e173-416f-8df0-78597ddcedf3","resolution":{"observed_at":"2026-08-02T08:37:51.055725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.24799","last_updated":"2026-07-06T08:32:09Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-09T09:44:40.417175Z","submitted_at":"2026-07-06T08:32:09Z","title":"Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":19},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.24799."}