{"as_of":"2026-08-11T03:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02a13ba1587d763f70fb420d8c5ed09f57319daef72dba08e484a1d98d1af7d2","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:46:07.121355Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T11:11:59.920518Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15067","snapshot_observed_at":"2026-07-30T11:11:59.920518Z","title":"arXiv preprint arXiv:2501.15067 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27136","last_updated":"2026-07-29T17:07:37Z","snapshot_observed_at":"2026-08-10T12:13:29.264794Z","submitted_at":"2026-07-29T17:07:37Z","title":"KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-30T11:11:59.920518Z"},"links":{"cited_paper":"/paper/2501.15067","citing_paper":"/paper/2607.27136"},"observation_digest":"sha256:fc7b8e762bc327e6e8af3764b7259805786ecb7f2653ee1fdbf2a0009ce34686","observation_id":"b1ab30b6-fc83-4912-8071-a748f6710957","resolution":{"observed_at":"2026-07-30T11:11:59.920518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15067/citation-record","integrity":"/paper/2501.15067/integrity","json":"/paper/2501.15067/citation-record.json","paper":"/paper/2501.15067"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:46:07.892502Z","title":null,"venue":null,"work_id":"58b7a68a-1bb5-4634-b101-ca26fd1a766c","year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.917031Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:93c5c291ef5f2919b5e067f576013bf05240762291be2c2ac6f7889504d46ced","observation_id":"328df6f5-ff1d-43f8-b076-3c3dd6fbc29d","resolution":{"observed_at":"2026-08-10T14:46:07.896683Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T14:46:06.921406Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.921406Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:18d30745d80c6e572b3e8c093f92176dd2a47313cbe3692776bec88e4c570211","observation_id":"40e9566c-f068-49cf-9b45-75a9cea4a09b","resolution":{"observed_at":"2026-08-10T14:46:06.921406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-10T14:46:06.925403Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.925403Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:c5412435b714baf72d0bf368bef91b49145856e52268cdfb452d5647d7d29018","observation_id":"3dd0be43-090b-425c-8f25-3e6ae103c700","resolution":{"observed_at":"2026-08-10T14:46:06.925403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06918","last_updated":"2022-11-11T21:31:59Z","snapshot_observed_at":"2026-08-04T06:22:38.860781Z","submitted_at":"2021-10-13T17:56:19Z","title":"Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06918","snapshot_observed_at":"2026-08-10T14:46:06.929799Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.929799Z"},"links":{"cited_paper":"/paper/2110.06918","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:359251689244644ab8bf1fefbac1f0cce29e252df2ef7524a58096ad0f2c9339","observation_id":"f23f4264-86c1-4fd2-b3f0-7d804bb8d2ed","resolution":{"observed_at":"2026-08-10T14:46:06.929799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-10T14:46:06.934099Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.934099Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:24e8f14bb72486f6b1ca272753321543f9f05510b07a25e565aa066848b9cd93","observation_id":"152385aa-67be-4566-a3d6-0cbf4fbc8860","resolution":{"observed_at":"2026-08-10T14:46:06.934099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-10T14:46:06.938736Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.938736Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:581c321decd65f196b15aba94e8cc8d8f93fb402104171ad740f89c11e22d808","observation_id":"0da4fe1a-f2f3-4fe8-a55c-fa99ff53dcbb","resolution":{"observed_at":"2026-08-10T14:46:06.938736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01852","last_updated":"2022-03-08T05:10:16Z","snapshot_observed_at":"2026-08-09T01:58:55.628735Z","submitted_at":"2020-07-03T17:58:42Z","title":"Language-agnostic BERT Sentence Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01852","snapshot_observed_at":"2026-08-10T14:46:06.943633Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.943633Z"},"links":{"cited_paper":"/paper/2007.01852","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:56796378c5e9aad10ce59615e6ba3a186ade10c9db61fef299e511f73aa314bc","observation_id":"29b6d422-2239-4227-80a9-05969d60371f","resolution":{"observed_at":"2026-08-10T14:46:06.943633Z","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":"2026-08-10T14:46:07.870480Z","title":null,"venue":null,"work_id":"a63d9544-fe3f-4d4c-b468-43d66b0de00c","year":2021},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.947865Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:abb40ca0ba927c2e92968ff30bcc9c390d15467b37b770a222cc1c0299c70120","observation_id":"4a5ba93a-531f-427c-b79a-dc327b531272","resolution":{"observed_at":"2026-08-10T14:46:07.874771Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-10T14:46:06.951922Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.951922Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:12c939e9e6e434234a2c695d6b2765e3b7665a04cd89933e12345ecf17ffb3f1","observation_id":"1f97d28f-c235-455d-a807-5accfcfc3122","resolution":{"observed_at":"2026-08-10T14:46:06.951922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07257","last_updated":"2024-06-11T13:36:19Z","snapshot_observed_at":"2026-07-06T18:28:51.180903Z","submitted_at":"2024-06-11T13:36:19Z","title":"Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway","version":1},"cited_work":{"arxiv_id":"2406.07257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07257","snapshot_observed_at":"2026-08-10T14:46:07.551275Z","title":"Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway","venue":"cs.CL","work_id":"1e94988d-d0c0-46f5-9201-0c3a629b7d09","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.956027Z"},"links":{"cited_paper":"/paper/2406.07257","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:3e5e0fab3b1d0a1bd0798fa9ae9aea9472854d1958d9f5bd129e3254d85c0c24","observation_id":"d623b17f-d524-41cb-b26e-e0a158d665ed","resolution":{"observed_at":"2026-08-10T14:46:07.558290Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07630","last_updated":"2024-05-27T04:04:40Z","snapshot_observed_at":"2026-07-06T17:28:52.196375Z","submitted_at":"2024-02-12T13:13:04Z","title":"G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07630","snapshot_observed_at":"2026-08-10T14:46:06.960330Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.960330Z"},"links":{"cited_paper":"/paper/2402.07630","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:8a9b16c9980ce465a886d38898b175dbdd21b3ed8d1ff9481882729faba8a611","observation_id":"41dcbc7b-b1cd-4ea1-89f5-a3401b5e35e9","resolution":{"observed_at":"2026-08-10T14:46:06.960330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16506","last_updated":"2025-07-12T11:09:06Z","snapshot_observed_at":"2026-07-06T18:20:05.707144Z","submitted_at":"2024-05-26T10:11:40Z","title":"GRAG: Graph Retrieval-Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16506","snapshot_observed_at":"2026-08-10T14:46:06.964650Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.964650Z"},"links":{"cited_paper":"/paper/2405.16506","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:46e3e81026085ffeac50f04d891c7a1b7718acb3eb795a42719ed8f410b8df21","observation_id":"604a6418-7600-42a7-bde2-9ff9d90eb92f","resolution":{"observed_at":"2026-08-10T14:46:06.964650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04944","last_updated":"2023-10-07T23:25:22Z","snapshot_observed_at":"2026-08-10T20:07:44.825691Z","submitted_at":"2023-10-07T23:25:22Z","title":"Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04944","snapshot_observed_at":"2026-08-10T14:46:06.969039Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.969039Z"},"links":{"cited_paper":"/paper/2310.04944","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:9b124e6332b7aeaf8fc61cfcdcfd4beeb08e0cd79ed00fb345f9d707b066113a","observation_id":"99a5725e-0715-4d41-bc86-4d7759648981","resolution":{"observed_at":"2026-08-10T14:46:06.969039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.09118","last_updated":"2022-08-29T12:17:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-16T18:57:37Z","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.09118","snapshot_observed_at":"2026-08-10T14:46:06.973207Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.973207Z"},"links":{"cited_paper":"/paper/2112.09118","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:88727498322d8e8f6dff9e08302033055c213611af220dc811727386e4a7a396","observation_id":"260716b6-d408-4b5e-b5c1-d7fddf9d3e21","resolution":{"observed_at":"2026-08-10T14:46:06.973207Z","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":"2026-08-10T14:46:06.977099Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.977099Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:c56fc5279f8f83193726f940d210ac76b1fbccbd0ae3b6fe97322d555fb62056","observation_id":"07a4ed7a-8da4-41f9-a296-678f0c240c77","resolution":{"observed_at":"2026-08-10T14:46:06.977099Z","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":"2026-08-10T14:46:06.984458Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.984458Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:25c33da5b59829bc9d7456e04e245d4098c150f7ab40a4ebb080af01adb2bdb3","observation_id":"8fc05bb0-1fc7-45eb-8e60-4f316e3de3a6","resolution":{"observed_at":"2026-08-10T14:46:06.984458Z","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":"2026-08-10T14:46:06.987912Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.987912Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:4d31e6d762c03af0cc906922b16ec43c19ef0119acb21445a4e884b8e2f690f3","observation_id":"d42e4da2-9393-42d1-a84c-4341c4206bff","resolution":{"observed_at":"2026-08-10T14:46:06.987912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-10T14:46:06.991413Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.991413Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:d46f7988c88ff96b7850a444d2aff095583dfe19092fcd56c87cd0d5b5ec0877","observation_id":"37a18e99-3be3-400f-87c0-8f43651ff457","resolution":{"observed_at":"2026-08-10T14:46:06.991413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01195","last_updated":"2020-10-02T20:59:14Z","snapshot_observed_at":"2026-08-09T10:53:34.316528Z","submitted_at":"2020-10-02T20:59:14Z","title":"Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01195","snapshot_observed_at":"2026-08-10T14:46:06.995468Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.995468Z"},"links":{"cited_paper":"/paper/2010.01195","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:6f9d879f70d1a4426d26d1d23011c5102c21de65a3634351514b4c00e7d55124","observation_id":"a8e9bf48-0462-47f9-9bad-a282b333ba90","resolution":{"observed_at":"2026-08-10T14:46:06.995468Z","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":"2026-08-10T14:46:07.830416Z","title":null,"venue":null,"work_id":"1ed92cda-fe09-46dc-b232-551d2ca04eb9","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.999352Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:7c16874c579b2328f23f57baadd4a471b33c79b771cfd37b833b885c7e99baa6","observation_id":"002beb82-6099-429a-8700-2794b212406d","resolution":{"observed_at":"2026-08-10T14:46:07.834809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T14:46:07.003318Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.003318Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:ab085ee44482903925cc6dd308cfbf367ed93641097f1c27abe2a3fd943f4407","observation_id":"2751fc5f-5cee-438b-ae0f-32d3ccaf3f0e","resolution":{"observed_at":"2026-08-10T14:46:07.003318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-08-08T13:39:15.810779Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-10T14:46:07.007040Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.007040Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:dc6eaefe2ebbc2267620fbb8b89f3be49d8791fd390944a63387b5698e200d1b","observation_id":"86220f56-0d46-4bc8-abce-428b7f179f37","resolution":{"observed_at":"2026-08-10T14:46:07.007040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-10T14:46:07.010989Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.010989Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:5277ceeaa40c5060c4ca82c10a0cb3dbe4002c1dafc993ae034fdc13c99e87d2","observation_id":"b7c4200e-9696-4709-bc10-f91cdad142b4","resolution":{"observed_at":"2026-08-10T14:46:07.010989Z","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":"2026-08-10T14:46:07.808290Z","title":null,"venue":null,"work_id":"6265c01e-0d17-4650-ab65-43f34327d88c","year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.014811Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:bc7b4984a87ec4b63ee3db1ec522c8f0371fbb00baf039365d14a1875464dcbb","observation_id":"61778c7f-0985-49b7-bb14-818a6918677c","resolution":{"observed_at":"2026-08-10T14:46:07.812553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T14:46:07.018352Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.018352Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:89b1d88395a5ad3d335a4d22bfd5001bce055d1ade7153dbe8fea1681075fe53","observation_id":"8d2c6e08-81aa-4a00-9845-deffc784e90f","resolution":{"observed_at":"2026-08-10T14:46:07.018352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04055","last_updated":"2024-01-08T17:53:06Z","snapshot_observed_at":"2026-08-09T17:27:45.211692Z","submitted_at":"2024-01-08T17:53:06Z","title":"Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04055","snapshot_observed_at":"2026-08-10T14:46:07.021982Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.021982Z"},"links":{"cited_paper":"/paper/2401.04055","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:9a867aebb49488b9e03db2131a124ed5cb943f9a8b0958a904226a219fa6ebae","observation_id":"79aa2d8d-58e2-439e-ae59-f39ea43790d2","resolution":{"observed_at":"2026-08-10T14:46:07.021982Z","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":"2026-08-10T14:46:07.786394Z","title":null,"venue":null,"work_id":"c403ad03-078b-4c1e-af92-5ddd159b3d6c","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.026556Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:06be5e6705607ebcb6e931d2cd87fad6e39de5e9443f26715b37eb1a9762f909","observation_id":"b29b9201-e9c3-40e3-a815-148e56a2455c","resolution":{"observed_at":"2026-08-10T14:46:07.790329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08375","last_updated":"2019-09-25T00:40:54Z","snapshot_observed_at":"2026-08-05T06:27:23.978783Z","submitted_at":"2019-04-17T17:20:14Z","title":"Document Expansion by Query Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08375","snapshot_observed_at":"2026-08-10T14:46:07.030637Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.030637Z"},"links":{"cited_paper":"/paper/1904.08375","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:6603ca3595572ff6e416d91fcbc9fa821c75edfae4461ec81872fcd451427391","observation_id":"03863c64-b453-4796-a241-c77810ada8f1","resolution":{"observed_at":"2026-08-10T14:46:07.030637Z","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":"2026-08-10T14:46:07.773908Z","title":null,"venue":null,"work_id":"abba92e2-3c6f-4ab0-b570-0476d2afbd2b","year":2022},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.034821Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:d3215ee5f17b30a7925382d86039c9c30aca8bb74d6aabcfcd9ec4721722d084","observation_id":"514c81a7-8296-4c25-8aa3-39943b20206a","resolution":{"observed_at":"2026-08-10T14:46:07.777949Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-10T14:46:07.038899Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.038899Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:8d12643eb4985de962427fbe3338d93c820426c190a753b2df03f103b2f2f957","observation_id":"ceb897ca-4cea-46e5-bbcf-12ea3b2689fb","resolution":{"observed_at":"2026-08-10T14:46:07.038899Z","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":"2026-08-10T14:46:07.761586Z","title":null,"venue":null,"work_id":"c1ed46aa-78f6-45e8-bbc5-63d6b1109443","year":2009},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.042900Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:cefc25fb04ed6eafdd4b2fdcaaaae887b7495a6e8cc671fc6933854728b6b894","observation_id":"31b9c22e-a75c-45df-bcc2-cdefe42e9b6d","resolution":{"observed_at":"2026-08-10T14:46:07.765327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T14:46:07.046951Z","title":null,"venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.046951Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:bda4d9b3f04b9f6eee62882521f094333a439c6f10b144260c7a109b370bd718","observation_id":"f84cf708-7c87-4b24-aaa1-5e68da4326d2","resolution":{"observed_at":"2026-08-10T14:46:07.046951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03509","last_updated":"2021-05-10T02:23:20Z","snapshot_observed_at":"2026-07-06T09:53:43.248602Z","submitted_at":"2020-09-08T04:04:04Z","title":"Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03509","snapshot_observed_at":"2026-08-10T14:46:07.050975Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.050975Z"},"links":{"cited_paper":"/paper/2009.03509","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:b781f0b97b90bfe26db4a81177fe2af7bf03bcac1afe9c6ea470dbfc34d3a4c7","observation_id":"946864bf-5b0c-4b3d-a85b-0d3a638df079","resolution":{"observed_at":"2026-08-10T14:46:07.050975Z","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":"2026-08-10T14:46:07.055154Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.055154Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:4fe745f1bce62aed0da5fec2293aa613c85a1b1971c6d90f8884091b9702d502","observation_id":"8740c3e6-6ed0-4634-8858-e50f2817a93d","resolution":{"observed_at":"2026-08-10T14:46:07.055154Z","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":"2026-08-10T14:46:07.732113Z","title":null,"venue":null,"work_id":"2dd490bb-3d18-44b9-933a-04089527c8a7","year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.059283Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:51b3f68ac4ee92333d79c3daa330ef3b2900729f7b7941b4a428c124a120e179","observation_id":"974519a9-afeb-4966-87fc-56246b7c09d6","resolution":{"observed_at":"2026-08-10T14:46:07.735825Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T14:46:07.719859Z","title":null,"venue":null,"work_id":"7e5e5861-b351-4d3a-ba48-a3b9ddd21bfc","year":2023},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.063302Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:b6631d3b32d8c4032bc5bc97e8d986f23c5dbf14f948a91afa2de3a7e950cd3c","observation_id":"25729923-57e0-4921-9b09-369ff5ba76cc","resolution":{"observed_at":"2026-08-10T14:46:07.723627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-10T14:46:07.067876Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.067876Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:f6f88210efb8fd9faf7c1ebc73537204304b726e70d75eb01a2c5ebbf76db83f","observation_id":"42f8597d-23b6-41a2-8557-df6e588714ab","resolution":{"observed_at":"2026-08-10T14:46:07.067876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01107","last_updated":"2024-08-14T09:54:24Z","snapshot_observed_at":"2026-07-06T18:55:57.425474Z","submitted_at":"2024-08-02T08:37:03Z","title":"BioRAG: A RAG-LLM Framework for Biological Question Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01107","snapshot_observed_at":"2026-08-10T14:46:07.072165Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.072165Z"},"links":{"cited_paper":"/paper/2408.01107","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:fb621587e10758da38be37b44161550897d802dfd1911617fc6500520216d01e","observation_id":"5a710f34-0ba8-4ed9-b493-82ce89559be2","resolution":{"observed_at":"2026-08-10T14:46:07.072165Z","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":"2026-08-10T14:46:07.706562Z","title":null,"venue":null,"work_id":"a4d635d0-cb12-4e4c-b421-a068729ba519","year":2021},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.076765Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:935a632c07b4b53737af673950ce8e148a841b3074ff82dcf2e2899910ca403d","observation_id":"67b4b581-7d7d-4b06-8a7b-1ca7f2f0b629","resolution":{"observed_at":"2026-08-10T14:46:07.710222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.03533","last_updated":"2024-02-22T06:21:51Z","snapshot_observed_at":"2026-07-06T14:27:46.217000Z","submitted_at":"2022-12-07T09:25:54Z","title":"Text Embeddings by Weakly-Supervised Contrastive Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.03533","snapshot_observed_at":"2026-08-10T14:46:07.080887Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.080887Z"},"links":{"cited_paper":"/paper/2212.03533","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:0a80beec0a1fc824c0354feaaa356cd315c40a55a7c4332d6bba3895f3c02dc3","observation_id":"12cdfadb-d494-41ce-85d8-1af368652c06","resolution":{"observed_at":"2026-08-10T14:46:07.080887Z","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":"2026-08-10T14:46:07.085112Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.085112Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:befa0146b0222238891dd686fb5abbda98e54a3ce0fd4398d76c43dab88d6717","observation_id":"2f6d6663-36ed-4769-8c48-266476620c92","resolution":{"observed_at":"2026-08-10T14:46:07.085112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17497","last_updated":"2024-11-21T08:44:20Z","snapshot_observed_at":"2026-07-06T17:36:11.854303Z","submitted_at":"2024-02-27T13:22:51Z","title":"REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17497","snapshot_observed_at":"2026-08-10T14:46:07.092820Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.092820Z"},"links":{"cited_paper":"/paper/2402.17497","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:06bf92307debf00690e608bf3f4ebbda61767b2e5306043c80b973b619d7d54a","observation_id":"4d91f456-a690-42a5-9672-3edb8ee80d3a","resolution":{"observed_at":"2026-08-10T14:46:07.092820Z","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":"2026-08-10T14:46:07.672409Z","title":null,"venue":null,"work_id":"5ebd4d60-9801-4a28-a60c-7ece5614c58f","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.096934Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:8fa8a7a7735702722179ea72005c5b79d9baa1a2ec8775381b49374bc82c73ee","observation_id":"91c82420-eda9-4281-9533-87f503b53911","resolution":{"observed_at":"2026-08-10T14:46:07.676652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.00808","last_updated":"2020-10-20T22:17:19Z","snapshot_observed_at":"2026-08-06T15:45:53.027828Z","submitted_at":"2020-07-01T23:15:56Z","title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.00808","snapshot_observed_at":"2026-08-10T14:46:07.100460Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.100460Z"},"links":{"cited_paper":"/paper/2007.00808","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:d6c3271f82a678e4922c92515639f0b566dacd216fd0d01abeb632cadc2f92f9","observation_id":"22cbf41d-d4c7-4bdc-871a-8281ba57521c","resolution":{"observed_at":"2026-08-10T14:46:07.100460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07437","last_updated":"2024-07-03T04:59:32Z","snapshot_observed_at":"2026-08-07T10:28:46.479557Z","submitted_at":"2024-05-13T02:33:25Z","title":"Evaluation of Retrieval-Augmented Generation: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07437","snapshot_observed_at":"2026-08-10T14:46:07.105192Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.105192Z"},"links":{"cited_paper":"/paper/2405.07437","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:9378122e74dadda40623a4f4350206f822e7e28958c95d06a3ac4bd02096bff6","observation_id":"3d532fb2-3fc6-429b-a91a-39d6ee2b2355","resolution":{"observed_at":"2026-08-10T14:46:07.105192Z","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":"2026-08-10T14:46:07.658573Z","title":null,"venue":null,"work_id":"02967d7c-6676-42a9-88c8-c9afa5b299b0","year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.109334Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:38d9a94763e59fd252ebc7361f67da69492d5c25d06a3ad92542c0590cce3fc9","observation_id":"89082e71-8c3b-48e0-9ec3-4b2f379fcfb9","resolution":{"observed_at":"2026-08-10T14:46:07.662949Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19473","last_updated":"2024-06-21T08:26:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-29T18:59:01Z","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19473","snapshot_observed_at":"2026-08-10T14:46:07.113424Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.113424Z"},"links":{"cited_paper":"/paper/2402.19473","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:69016509e0ae7ff2abf333d5a1d4a9fbcbba4032e6c7b30d69bf5161f0f64210","observation_id":"ee951ede-cd93-4b9d-9090-22a51da3d9a5","resolution":{"observed_at":"2026-08-10T14:46:07.113424Z","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":"2026-08-10T14:46:07.117555Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.117555Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:88b76ff36b0d64cf2da7e05cae6deaed4fb7fef68c1453534a9754d642dc5e3d","observation_id":"9ce009fe-3519-44ce-88af-8c3b942f0a75","resolution":{"observed_at":"2026-08-10T14:46:07.117555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07197","last_updated":"2022-10-13T17:17:03Z","snapshot_observed_at":"2026-07-06T14:04:51.277045Z","submitted_at":"2022-10-13T17:17:03Z","title":"Towards a Unified Multi-Dimensional Evaluator for Text Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07197","snapshot_observed_at":"2026-08-10T14:46:07.121355Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.121355Z"},"links":{"cited_paper":"/paper/2210.07197","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:0cc6e84e8d1ddb2d98ebacc32081e0af7f34a31f28083a718bff534cddbc337e","observation_id":"0a774150-0bfe-4f39-b136-64ba8263e1d5","resolution":{"observed_at":"2026-08-10T14:46:07.121355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06146","last_updated":"2019-09-13T11:18:20Z","snapshot_observed_at":"2026-07-06T08:21:28.880621Z","submitted_at":"2019-09-13T11:18:20Z","title":"PubMedQA: A Dataset for Biomedical Research Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06146","snapshot_observed_at":"2026-08-10T14:46:06.980830Z","title":"arXiv preprint arXiv:1909.06146 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:06.980830Z"},"links":{"cited_paper":"/paper/1909.06146","citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:98fd478537269ff6b34522e89d05b4bc4ea10a3e92004e0a4b94b0f07ab8e69d","observation_id":"6301c41e-44fd-4a83-b7a2-2a7c521501cc","resolution":{"observed_at":"2026-08-10T14:46:06.980830Z","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":"2026-08-10T14:46:07.685322Z","title":"Advances in Neural Information Processing Systems 33 (2020), 5776–5788","venue":null,"work_id":"37d21400-abf5-42f6-967e-ae427ed5a3bd","year":2020},"citing_paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:07.088916Z"},"links":{"citing_paper":"/paper/2501.15067"},"observation_digest":"sha256:6c244b7e3a9bda8c393c26bfdb67974883fc5f42c87659baf8b7f84e07848317","observation_id":"c17a1406-6099-4f88-bc47-a65d767e2f93","resolution":{"observed_at":"2026-08-10T14:46:07.689430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.15067","last_updated":"2025-01-25T04:18:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-10T14:37:02.307016Z","submitted_at":"2025-01-25T04:18:08Z","title":"CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":1,"verified_fuzzy":1},"total_outbound_references":51},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2501.15067."}