{"as_of":"2026-08-12T14:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a29189cac7f49cab01a4ecc21117c5dd2bfe6c3a788dd1ddba755a2a0e1fe47b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T04:47:44.186934Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T15:18:33.898325Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-11T04:47:44.186934Z","title":"InFindings of the Association for Computational Linguistics: EMNLP 2024, pages 12758–12786, Mi- ami, Florida, USA","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18431","last_updated":"2025-06-22T12:13:24Z","snapshot_observed_at":"2026-08-12T05:12:36.800284Z","submitted_at":"2024-12-24T13:45:22Z","title":"GeAR: Graph-enhanced Agent for Retrieval-augmented Generation","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T04:47:44.186934Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2412.18431"},"observation_digest":"sha256:85673c3ce825073b0d7636816ff79241ca4fda1b5838d27fc27ec294cc7f36b4","observation_id":"20665c44-7fee-4ac7-a88f-99d061c9ce77","resolution":{"observed_at":"2026-08-11T04:47:44.186934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-10T18:35:00.465968Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13947","last_updated":"2025-05-01T03:29:50Z","snapshot_observed_at":"2026-08-12T11:03:11.014736Z","submitted_at":"2025-01-19T23:25:21Z","title":"A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods","version":3},"reference_index":137,"source":"pdf_text","source_observed_at":"2026-08-10T18:35:00.465968Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2501.13947"},"observation_digest":"sha256:023b8e1dc254570e00a4530b56df7fd3dbe12f5b6f18c4e05fd0553e6ded4aea","observation_id":"4b086543-1ffd-485a-a301-a1dbef181d48","resolution":{"observed_at":"2026-08-10T18:35:00.465968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-07T14:33:46.289597Z","title":"& Zhou, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18483","last_updated":"2025-05-24T03:13:29Z","snapshot_observed_at":"2026-08-11T20:23:33.399257Z","submitted_at":"2025-05-24T03:13:29Z","title":"Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:33:46.289597Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2505.18483"},"observation_digest":"sha256:a3a294b08154981f5ca80087614965ed0ee8a926edcab7b068fef788c1e5737e","observation_id":"2b9974ca-8cdb-4433-a785-9caf98a3cad7","resolution":{"observed_at":"2026-08-07T14:33:46.289597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-07T05:10:57.013558Z","title":"Liang, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13782","last_updated":"2025-06-10T09:14:30Z","snapshot_observed_at":"2026-08-10T12:34:25.474043Z","submitted_at":"2025-06-10T09:14:30Z","title":"XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:10:57.013558Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2506.13782"},"observation_digest":"sha256:6c7b2887c0e95747cdfb5ce302821776978effb40525fbbc11f0b40ae0848efd","observation_id":"916b2f98-17fc-426a-aa8e-58c125445cfa","resolution":{"observed_at":"2026-08-07T05:10:57.013558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-07T05:10:57.017185Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13782","last_updated":"2025-06-10T09:14:30Z","snapshot_observed_at":"2026-08-10T12:34:25.474043Z","submitted_at":"2025-06-10T09:14:30Z","title":"XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:10:57.017185Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2506.13782"},"observation_digest":"sha256:bfc7517d3827d401df3f9ad553bf089f01780dd54344bd52dd1f30e26d280c2e","observation_id":"576daede-145d-43ba-bdb9-8270801ea637","resolution":{"observed_at":"2026-08-07T05:10:57.017185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-07T00:42:12.691284Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17288","last_updated":"2025-06-15T15:36:17Z","snapshot_observed_at":"2026-08-08T13:57:40.248376Z","submitted_at":"2025-06-15T15:36:17Z","title":"SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T00:42:12.691284Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2506.17288"},"observation_digest":"sha256:d37a24838de7d2915948d2c625661faa7eed490e37f90dd0b06d2b3ae47de233","observation_id":"9b1cc051-7bc1-44e3-9c66-f462c0719667","resolution":{"observed_at":"2026-08-07T00:42:12.691284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-06T17:29:26.887316Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12484","last_updated":"2025-07-14T20:35:16Z","snapshot_observed_at":"2026-08-08T07:11:37.298140Z","submitted_at":"2025-07-14T20:35:16Z","title":"AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:29:26.887316Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2507.12484"},"observation_digest":"sha256:e9f73080a776b2f89f7e9872611435c7d754c40ea769c7688c4fb159abb7979f","observation_id":"9dffa543-8b7a-4e4e-a2a7-d978ee874167","resolution":{"observed_at":"2026-08-06T17:29:26.887316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-06T14:58:58.842280Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17178","last_updated":"2025-08-29T06:52:20Z","snapshot_observed_at":"2026-08-07T04:04:05.944205Z","submitted_at":"2025-07-23T03:52:24Z","title":"SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T14:58:58.842280Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2507.17178"},"observation_digest":"sha256:04c19d82090a77ac1d4c768369da6c105fd5eb45ddea5674ce9c5b0d4c265076","observation_id":"24627079-8083-405a-a634-a8fd2e6d86c7","resolution":{"observed_at":"2026-08-06T14:58:58.842280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-06T15:00:11.781022Z","title":"Liang, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17209","last_updated":"2025-07-23T05:02:54Z","snapshot_observed_at":"2026-08-09T02:14:12.817388Z","submitted_at":"2025-07-23T05:02:54Z","title":"HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:00:11.781022Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2507.17209"},"observation_digest":"sha256:97f403f0412404c6454818f6fa3b9bc2ea1cdf8ea1e52e248adf28e2b79af225","observation_id":"f3c83f79-064d-43bc-923f-6e1173784d44","resolution":{"observed_at":"2026-08-06T15:00:11.781022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2604.15676","last_updated":"2026-04-17T03:54:32Z","snapshot_observed_at":"2026-08-11T16:41:13.268420Z","submitted_at":"2026-04-17T03:54:32Z","title":"EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T07:59:40.497067Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2604.15676"},"observation_digest":"sha256:d5bf0dbe9f13d86c5b1e9bb730695d746df0d9765f0fa0ff6057410c6aa093f9","observation_id":"1f30b65a-0c5c-406e-8f9d-882d1f502153","resolution":{"observed_at":"2026-05-10T08:02:25.198336Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2606.00203","last_updated":"2026-05-29T17:29:15Z","snapshot_observed_at":"2026-08-01T03:32:25.296095Z","submitted_at":"2026-05-29T17:29:15Z","title":"DeSQ: Decomposition-based SPARQL Query Generation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-28T22:15:13.878078Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.00203"},"observation_digest":"sha256:db88f939b71e86985f53fc3c55318145b3c691ac6593335eb8607fe994690ed5","observation_id":"ff65c0a3-a396-40b2-869c-ddfd62aeda8b","resolution":{"observed_at":"2026-07-01T19:36:09.168483Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2606.00610","last_updated":"2026-05-30T08:18:53Z","snapshot_observed_at":"2026-08-05T23:59:52.456196Z","submitted_at":"2026-05-30T08:18:53Z","title":"MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T18:20:43.092561Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.00610"},"observation_digest":"sha256:c9f0dd5c10236c247c2add522246ac6d8fb05ee545a25ba2e088b1f60a228ec2","observation_id":"58e35d7c-1300-438b-9c1d-8deff94258ec","resolution":{"observed_at":"2026-06-28T20:42:37.971441Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2606.07548","last_updated":"2026-05-05T21:57:38Z","snapshot_observed_at":"2026-08-08T16:19:41.876607Z","submitted_at":"2026-05-05T21:57:38Z","title":"Evaluating Advanced Prompting on Gemini Flash for Multi-Hop Biomedical QA","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-30T23:41:52.700796Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.07548"},"observation_digest":"sha256:90a5060fde59bd3273600dc205a21392388a6fd5fa28117a1707903f3f6c443d","observation_id":"fef66464-954a-457c-806c-fc8fb35833e6","resolution":{"observed_at":"2026-06-30T23:45:08.030197Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2606.13669","last_updated":"2026-07-17T03:48:22Z","snapshot_observed_at":"2026-08-07T02:33:25.164783Z","submitted_at":"2026-06-11T17:58:35Z","title":"Agents-K1: Towards Agent-native Knowledge Orchestration","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T06:32:47.387422Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.13669"},"observation_digest":"sha256:4ef12d85261ab25695e4e2716c2c46436e1885a1e202e77219403e41479e8072","observation_id":"a4c61c69-db76-4da0-a797-247728d0284d","resolution":{"observed_at":"2026-07-03T15:18:33.899820Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":"2409.13731","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-07-03T15:18:33.898325Z","title":"URL https://arxiv","venue":null,"work_id":"ea3e3958-aa64-4fae-95b6-ecaa70f343a8","year":2024},"citing_paper":{"arxiv_id":"2606.13669","last_updated":"2026-07-17T03:48:22Z","snapshot_observed_at":"2026-08-07T02:33:25.164783Z","submitted_at":"2026-06-11T17:58:35Z","title":"Agents-K1: Towards Agent-native Knowledge Orchestration","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T11:16:50.072447Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.13669"},"observation_digest":"sha256:edfb4fb623ae42bacc5d537b8cbe3b69f62d3e1f3827631de82489495a64b5ce","observation_id":"b7d9237e-5230-49c0-91ed-b0b70dd7ea3e","resolution":{"observed_at":"2026-06-30T11:24:38.408163Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13731","snapshot_observed_at":"2026-08-02T11:40:46.865399Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.13669","last_updated":"2026-07-17T03:48:22Z","snapshot_observed_at":"2026-08-07T02:33:25.164783Z","submitted_at":"2026-06-11T17:58:35Z","title":"Agents-K1: Towards Agent-native Knowledge Orchestration","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T11:40:46.865399Z"},"links":{"cited_paper":"/paper/2409.13731","citing_paper":"/paper/2606.13669"},"observation_digest":"sha256:13af86a0d23bce3aa70ea296334366562caec9d4ed0257d62b0af62df4914054","observation_id":"115143e5-50ff-43c4-88a0-22ef9fcfa913","resolution":{"observed_at":"2026-08-02T11:40:46.865399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.13731/citation-record","integrity":"/paper/2409.13731/integrity","json":"/paper/2409.13731/citation-record.json","paper":"/paper/2409.13731"},"outbound":[],"paper":{"arxiv_id":"2409.13731","last_updated":"2024-09-26T16:34:35Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:18:53.582890Z","submitted_at":"2024-09-10T02:00:28Z","title":"KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2409.13731."}