{"as_of":"2026-08-17T16:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc37f7a7c6064ea620826baf78d6a937e724260c6ea07aee3b964c1d80b49f8a","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:28:41.728152Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.21307/citation-record","integrity":"/paper/2508.21307/integrity","json":"/paper/2508.21307/citation-record.json","paper":"/paper/2508.21307"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:28:45.981389Z","title":"AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions","venue":null,"work_id":"8a8fd6b3-e69c-4cd3-a6d6-225cacf7dcfa","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.302072Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:9a19b759b8e8f5159a697ff56ef24f07fd2488a5c429211b722dfeba4ba51089","observation_id":"28b93064-b694-4a25-b2ed-fe1a89f6124e","resolution":{"observed_at":"2026-08-05T14:28:46.053126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.823472Z","title":"The impact of AI and machine learning on software product engineering","venue":null,"work_id":"329bcad8-2d8b-4485-97d0-02e30f142780","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.395812Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:8f03a534a877a9e4d6a62d6464d3b9741e978a7dd0b59c1f42e013e2c5555f18","observation_id":"9ed58d1a-327b-4b0a-ac2b-5b80f37a556b","resolution":{"observed_at":"2026-08-05T14:28:45.907507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.646117Z","title":"20+ Product Engineering Challenges Engineers Face (With Possible Solutions)","venue":null,"work_id":"547575fe-9805-4034-bc2c-df012609dfb7","year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.521962Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:6bc1624412c9f6befab0c6639e52aba70a0911eebae6d48ba5aecf77b17d0a16","observation_id":"27b831bb-d59d-4195-b176-faaee7563606","resolution":{"observed_at":"2026-08-05T14:28:45.713625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.517708Z","title":"Top Product Engineering Challenges Faced by Teams","venue":null,"work_id":"dc9393fe-6a0a-4889-9dce-3bf3158d9a5e","year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.620393Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:ed403fd88b2f70e315941756af263066961524478908f405bc033dfbf0de3183","observation_id":"b0e1ec08-f54a-4757-bba4-15005c545d2e","resolution":{"observed_at":"2026-08-05T14:28:45.590724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.394756Z","title":"17+ Product Engineering Challenges and Solutions","venue":null,"work_id":"4856f558-9e9b-4eb5-9f01-3ba768370b0f","year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.787799Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:94c1fbf3cae0c33df412264460cd17be6e3be07beb8f43430082641deda452b6","observation_id":"01cb6f3f-4cdc-486e-9da2-8c19e0df4fde","resolution":{"observed_at":"2026-08-05T14:28:45.451573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.239253Z","title":"Orchestration Frameworks for Agentic Systems: Strategic Insights Automation","venue":null,"work_id":"a112c8e3-499e-4ca7-9f80-1898e1190f3b","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:36.875299Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:e70d05ff74d057b45550750a2796d224effcf9b915f08570c48790a2e0164fca","observation_id":"89a6b37f-e6f0-4df4-9418-682e5f7cefb9","resolution":{"observed_at":"2026-08-05T14:28:45.336661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-05T14:28:37.027371Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.027371Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:c0a6ebcf3fa5bf5661b595cd323381e7d311148cabf7538961bdc2b4cfcc3b21","observation_id":"18e41f1d-bf9d-4984-8751-aaa717f121d9","resolution":{"observed_at":"2026-08-05T14:28:37.027371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09255","last_updated":"2023-07-18T13:38:39Z","snapshot_observed_at":"2026-08-16T15:15:20.316443Z","submitted_at":"2023-07-18T13:38:39Z","title":"Text vectorization via transformer-based language models and n-gram perplexities","version":1},"cited_work":{"arxiv_id":"2307.09255","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.09255","snapshot_observed_at":"2026-08-05T14:28:44.624195Z","title":"Text vectorization via transformer-based language models and n-gram perplexities","venue":"cs.CL","work_id":"13f62f63-d56a-48b3-81ed-2daa4f9ac9f0","year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.150828Z"},"links":{"cited_paper":"/paper/2307.09255","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:00feeb4d9a0f16c397550e1c372eeb1e680e2fc76f1da93f3b644cf255e4eae4","observation_id":"94a691e1-34dd-4be0-a680-e97858fdcb5f","resolution":{"observed_at":"2026-08-05T14:28:44.714149Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09207","last_updated":"2024-04-23T00:07:38Z","snapshot_observed_at":"2026-08-16T15:54:29.319965Z","submitted_at":"2023-02-18T02:06:52Z","title":"RETVec: Resilient and Efficient Text Vectorizer","version":3},"cited_work":{"arxiv_id":"2302.09207","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.09207","snapshot_observed_at":"2026-08-05T14:28:44.464023Z","title":"RETVec: Resilient and Efficient Text Vectorizer","venue":"cs.CL","work_id":"e3050c0d-0aba-47db-8997-894dd96b742a","year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.299490Z"},"links":{"cited_paper":"/paper/2302.09207","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:952914f8047158c52f38078645da7ee2b51f1a8734cfa626b2d152c9541403da","observation_id":"b804fa35-fa11-495b-8ee5-bdbb95232f2d","resolution":{"observed_at":"2026-08-05T14:28:44.521258Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03989","last_updated":"2024-05-08T04:48:59Z","snapshot_observed_at":"2026-08-16T13:54:50.427336Z","submitted_at":"2024-05-07T04:04:53Z","title":"A Method for Parsing and Vectorization of Semi-structured Data used in Retrieval Augmented Generation","version":2},"cited_work":{"arxiv_id":"2405.03989","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.03989","snapshot_observed_at":"2026-08-05T14:28:44.309635Z","title":"A Method for Parsing and Vectorization of Semi-structured Data used in Retrieval Augmented Generation","venue":"cs.DB","work_id":"cbe244de-086f-4efa-878c-23f7308026c0","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.435285Z"},"links":{"cited_paper":"/paper/2405.03989","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:205f06db55d59ae8bc7a88e6ebc4257f15bbf7b15bbf0a208be5a646722adade","observation_id":"ecf7ce21-8bd1-4593-8647-86e8af57ab18","resolution":{"observed_at":"2026-08-05T14:28:44.379169Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04655","last_updated":"2022-06-09T17:55:02Z","snapshot_observed_at":"2026-08-16T16:54:06.066836Z","submitted_at":"2022-06-09T17:55:02Z","title":"Towards Layer-wise Image Vectorization","version":1},"cited_work":{"arxiv_id":"2206.04655","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.04655","snapshot_observed_at":"2026-08-05T14:28:44.078869Z","title":"Towards Layer-wise Image Vectorization","venue":"cs.CV","work_id":"9a986552-a810-4354-a6fd-584e3321b9bc","year":2022},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.534513Z"},"links":{"cited_paper":"/paper/2206.04655","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:d3486607dadc33586b29f2bcbdd4740f5a6716a5f35c449847bd5003dcbf4940","observation_id":"99a49a01-1d45-455b-8a2a-6e9dab1f73ed","resolution":{"observed_at":"2026-08-05T14:28:44.188774Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06441","last_updated":"2023-06-10T13:41:02Z","snapshot_observed_at":"2026-08-16T15:24:56.100134Z","submitted_at":"2023-06-10T13:41:02Z","title":"Image Vectorization: a Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06441","snapshot_observed_at":"2026-08-05T14:28:37.680139Z","title":"Image Vectorization: a Review","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.680139Z"},"links":{"cited_paper":"/paper/2306.06441","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:36f1a3e421714d8849e5cbc35bf0b48dcc3173f8a80a21c5f245fbad667f42da","observation_id":"cb06ce9c-aeb2-4832-9ae8-a8883e7fe6e1","resolution":{"observed_at":"2026-08-05T14:28:37.680139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12457","last_updated":"2024-04-25T06:47:57Z","snapshot_observed_at":"2026-08-16T13:59:39.031764Z","submitted_at":"2024-04-18T18:32:30Z","title":"RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12457","snapshot_observed_at":"2026-08-05T14:28:37.837782Z","title":"(Apr 2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.837782Z"},"links":{"cited_paper":"/paper/2404.12457","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:9301ba8e6bd747001389cb26e74fc00afa52fe43ed3a26728cfa08a970a58a96","observation_id":"e2801588-2fe0-4b20-8828-917c861eb531","resolution":{"observed_at":"2026-08-05T14:28:37.837782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07240","last_updated":"2024-07-19T21:04:14Z","snapshot_observed_at":"2026-08-16T14:53:11.313072Z","submitted_at":"2023-10-11T07:08:20Z","title":"CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07240","snapshot_observed_at":"2026-08-05T14:28:37.932904Z","title":"Oct 2023 CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving [https://arxiv.org/abs/2310.07240]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:37.932904Z"},"links":{"cited_paper":"/paper/2310.07240","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:f7eb465b8c16cc8c28ca0035913a22dd88292132218828c7eab12a1bce9cb8ce","observation_id":"347e9ca1-f020-4eed-8969-5d0979cfd26f","resolution":{"observed_at":"2026-08-05T14:28:37.932904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.13993","last_updated":"2025-01-23T10:38:20Z","snapshot_observed_at":"2026-08-16T18:59:47.797968Z","submitted_at":"2025-01-23T10:38:20Z","title":"CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":"2501.13993","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.13993","snapshot_observed_at":"2026-08-05T14:28:43.879211Z","title":"CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation","venue":"cs.CL","work_id":"dd902cd5-5946-4999-b90a-812e64548dde","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.054642Z"},"links":{"cited_paper":"/paper/2501.13993","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:118a99b52b9ff0f4e436417a46fede775f63ffed1003a2eca695ae5ee52ac92f","observation_id":"c2849724-1241-4a5f-aff7-388d66a9a193","resolution":{"observed_at":"2026-08-05T14:28:43.945397Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T14:28:45.033990Z","title":null,"venue":null,"work_id":"944902ae-4a2c-4da0-a42f-10074914faaf","year":null},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.156379Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:b47e58421ec327a8fc91e94ee365187a4bf37506fdf4642823f7bacb8df134f0","observation_id":"dd2d57ad-de7c-4a39-8b4b-f7fc82b50252","resolution":{"observed_at":"2026-08-05T14:28:45.124067Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06196","last_updated":"2025-03-23T14:51:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-09T05:37:09Z","title":"Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06196","snapshot_observed_at":"2026-08-05T14:28:38.469837Z","title":"Large Language Models: A Survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.469837Z"},"links":{"cited_paper":"/paper/2402.06196","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:85e6757eba2ff8b1b2c40ecf48ef2bf78548c1f2654e1fcdee337f8915cd74ce","observation_id":"720a9def-afee-4097-a419-2ecffc666dfc","resolution":{"observed_at":"2026-08-05T14:28:38.469837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06435","snapshot_observed_at":"2026-08-05T14:28:38.568865Z","title":"A Comprehensive Overview of Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.568865Z"},"links":{"cited_paper":"/paper/2307.06435","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:ada03996758650c9ebb8ba944ab2a5de7ddc4f60795540c5a1ed7b1a09bb69c0","observation_id":"601cdcdc-7f75-4e76-b099-2561588d194a","resolution":{"observed_at":"2026-08-05T14:28:38.568865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12837","last_updated":"2024-10-03T22:29:47Z","snapshot_observed_at":"2026-08-16T13:12:46.081601Z","submitted_at":"2024-10-03T22:29:47Z","title":"A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12837","snapshot_observed_at":"2026-08-05T14:28:38.856963Z","title":"A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.856963Z"},"links":{"cited_paper":"/paper/2410.12837","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:ead4f53f76c8de8128147aaa14e8e28a3400543d03cc3403aff2b06bee7792c3","observation_id":"9fa814c3-ad02-482f-a63b-0aae319500ea","resolution":{"observed_at":"2026-08-05T14:28:38.856963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01219","last_updated":"2024-07-01T12:06:34Z","snapshot_observed_at":"2026-08-16T13:38:09.274176Z","submitted_at":"2024-07-01T12:06:34Z","title":"Searching for Best Practices in Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01219","snapshot_observed_at":"2026-08-05T14:28:38.966921Z","title":"Searching for Best Practices in Retrieval-Augmented Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.966921Z"},"links":{"cited_paper":"/paper/2407.01219","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:287121115bc63761db1261fb3185320ea3c9e85caec3785eb8b022075df9cfc9","observation_id":"bc3e986d-920c-48a3-8b26-9e9c5981e50e","resolution":{"observed_at":"2026-08-05T14:28:38.966921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09136","last_updated":"2026-04-01T15:51:06Z","snapshot_observed_at":"2026-08-16T05:51:25.312210Z","submitted_at":"2025-01-15T20:40:25Z","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09136","snapshot_observed_at":"2026-08-05T14:28:39.084555Z","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.084555Z"},"links":{"cited_paper":"/paper/2501.09136","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:fe5a7155d7cf78f611fbd05b3bbded529dd19ac47593c00e25b02ef21c48fa73","observation_id":"de6cc2b7-23b0-4a85-907b-6144e8e09694","resolution":{"observed_at":"2026-08-05T14:28:39.084555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19994","last_updated":"2024-09-13T12:19:26Z","snapshot_observed_at":"2026-08-16T13:30:14.041553Z","submitted_at":"2024-07-29T13:26:43Z","title":"A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph","version":3},"cited_work":{"arxiv_id":"2407.19994","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.19994","snapshot_observed_at":"2026-08-05T14:28:43.472193Z","title":"A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph","venue":"cs.AI","work_id":"0a8847f5-05c1-4bfc-b444-b9db2e82655a","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.261754Z"},"links":{"cited_paper":"/paper/2407.19994","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:385935e228e8e97bd43bc8a6f284f3e4e3a583e027b2bb51f47bcf80be051fd9","observation_id":"f49dc5c3-7f7e-4cbc-97b6-bc920d3c890b","resolution":{"observed_at":"2026-08-05T14:28:43.515960Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05421","last_updated":"2023-10-09T05:35:10Z","snapshot_observed_at":"2026-08-16T14:53:57.761256Z","submitted_at":"2023-10-09T05:35:10Z","title":"Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05421","snapshot_observed_at":"2026-08-05T14:28:39.398307Z","title":"Automating Customer Service using LangChain","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.398307Z"},"links":{"cited_paper":"/paper/2310.05421","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:0cbfbd15e4958634ab7d231df35211c5442c13a243c2fd29c5dc461df459731b","observation_id":"5fbe0bf1-3ba7-4cde-bc55-20ed39fb963e","resolution":{"observed_at":"2026-08-05T14:28:39.398307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05568","last_updated":"2024-02-21T15:19:03Z","snapshot_observed_at":"2026-08-16T14:16:33.883208Z","submitted_at":"2024-02-21T15:19:03Z","title":"Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model","version":1},"cited_work":{"arxiv_id":"2403.05568","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.05568","snapshot_observed_at":"2026-08-05T14:28:43.277134Z","title":"Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model","venue":"cs.HC","work_id":"656b2f41-1091-4a60-a373-b7006d6e6e2d","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.491374Z"},"links":{"cited_paper":"/paper/2403.05568","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:00a8636ec51e01bf06e3a13a794528ee24bfb146fc2084df976cfc838f376f49","observation_id":"50a48088-4da3-4e3b-b1b6-4a09de9134ad","resolution":{"observed_at":"2026-08-05T14:28:43.360760Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.04903","last_updated":"2022-02-10T08:52:39Z","snapshot_observed_at":"2026-08-16T17:22:20.444861Z","submitted_at":"2022-02-10T08:52:39Z","title":"Investigating Explainability of Generative AI for Code through Scenario-based Design","version":1},"cited_work":{"arxiv_id":"2202.04903","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.04903","snapshot_observed_at":"2026-08-05T14:28:43.113506Z","title":"Investigating Explainability of Generative AI for Code through Scenario-based Design","venue":"cs.HC","work_id":"b0790812-10ed-4408-b23e-ebc69a758df7","year":2022},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.572792Z"},"links":{"cited_paper":"/paper/2202.04903","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:df340281a5110dc5af8977af87a48dcabfad8e518e51834ad8ea4510c08d89a3","observation_id":"f1a0c033-828f-4072-b4be-bd3343ee734c","resolution":{"observed_at":"2026-08-05T14:28:43.171155Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.01693","last_updated":"2023-10-30T06:34:35Z","snapshot_observed_at":"2026-08-16T15:27:03.249856Z","submitted_at":"2023-06-02T17:11:37Z","title":"Fine-Grained Human Feedback Gives Better Rewards for Language Model Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.01693","snapshot_observed_at":"2026-08-05T14:28:39.722780Z","title":"Fine-Grained Human Feedback Gives Better Rewards for Language Model Training","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.722780Z"},"links":{"cited_paper":"/paper/2306.01693","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:8ab09a2ddcfe1016ef75892ebd525c9a9d4471c3adb1778dcab569a502561c82","observation_id":"bef82fe0-8450-44bf-bdb5-61971a3c705d","resolution":{"observed_at":"2026-08-05T14:28:39.722780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11771","last_updated":"2024-11-06T02:35:01Z","snapshot_observed_at":"2026-08-16T15:38:20.255814Z","submitted_at":"2023-04-23T23:43:57Z","title":"Generative AI at Work","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.11771","snapshot_observed_at":"2026-08-05T14:28:39.796183Z","title":"Generative AI at Work","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.796183Z"},"links":{"cited_paper":"/paper/2304.11771","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:ed94f1cf5a99d8c4119f272c9e39d07eef2219f980cf693203a07bf9a744fec8","observation_id":"18e257b9-e0d6-4fd0-9da3-60e4cee82949","resolution":{"observed_at":"2026-08-05T14:28:39.796183Z","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":"2026-08-05T14:28:44.813132Z","title":"Improving Language Understanding by Generative Pre-Training","venue":null,"work_id":"8af4fba2-0c32-4fbe-ac69-946d755b1773","year":null},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.900468Z"},"links":{"citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:5f297e58911adc9c88b65096d59fe30454acfb564a50305e7f3940e0b6ef2f95","observation_id":"8d921589-c684-4472-8bc1-2dce26df3989","resolution":{"observed_at":"2026-08-05T14:28:44.895587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18438","last_updated":"2023-07-03T13:08:46Z","snapshot_observed_at":"2026-08-16T15:28:49.857025Z","submitted_at":"2023-05-29T01:18:39Z","title":"Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18438","snapshot_observed_at":"2026-08-05T14:28:39.988703Z","title":"Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:39.988703Z"},"links":{"cited_paper":"/paper/2305.18438","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:a52b14cb623ac241a07968f6ddd2ee540412ea017b80b5d01c9bdefeb9532897","observation_id":"8aa7a4a6-07d9-461f-b276-4e1c25f312bc","resolution":{"observed_at":"2026-08-05T14:28:39.988703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14848","last_updated":"2025-01-24T13:59:41Z","snapshot_observed_at":"2026-08-15T17:04:59.501726Z","submitted_at":"2025-01-24T13:59:41Z","title":"BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing","version":1},"cited_work":{"arxiv_id":"2501.14848","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.14848","snapshot_observed_at":"2026-08-05T14:28:42.927834Z","title":"BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing","venue":"cs.SE","work_id":"309c0b9c-6df1-4193-adb3-aa198fe3b431","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.109809Z"},"links":{"cited_paper":"/paper/2501.14848","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:7fd3ba74faff07dcaa034ba3ebf52786dbd466122883d77c0b9b95ad1e0e5318","observation_id":"07976cf2-34a1-4021-9f23-6f51d2cff9b4","resolution":{"observed_at":"2026-08-05T14:28:43.004048Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14403","last_updated":"2024-03-28T06:45:11Z","snapshot_observed_at":"2026-08-16T14:07:41.100742Z","submitted_at":"2024-03-21T13:52:30Z","title":"Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14403","snapshot_observed_at":"2026-08-05T14:28:40.225327Z","title":"Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.225327Z"},"links":{"cited_paper":"/paper/2403.14403","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:7eaf678679c343f7faa3e93fbea86f88a2b787cba01959273d15d3468e3e795a","observation_id":"35f3474a-14f1-46f0-b8e2-faa25cfe7a27","resolution":{"observed_at":"2026-08-05T14:28:40.225327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16557","last_updated":"2025-01-27T22:57:39Z","snapshot_observed_at":"2026-08-16T05:38:07.148650Z","submitted_at":"2025-01-27T22:57:39Z","title":"CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16557","snapshot_observed_at":"2026-08-05T14:28:40.282647Z","title":"CARING -AI: Towards Authoring Context -aware Augmented Reality INstruction through Generative Artificial Intelligence","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.282647Z"},"links":{"cited_paper":"/paper/2501.16557","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:fbdeacff2cb17df1a3795c67d9d88c8678497705d96166e0edab18ffcdff60e0","observation_id":"a9144a2c-7bda-4665-9b54-3a7cbc39dc47","resolution":{"observed_at":"2026-08-05T14:28:40.282647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.17386","last_updated":"2025-03-26T15:57:24Z","snapshot_observed_at":"2026-07-06T20:27:41.902918Z","submitted_at":"2025-01-29T02:38:28Z","title":"Context-Aware Semantic Recomposition Mechanism for Large Language Models","version":2},"cited_work":{"arxiv_id":"2501.17386","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.17386","snapshot_observed_at":"2026-08-05T14:28:42.745652Z","title":"Context-Aware Semantic Recomposition Mechanism for Large Language Models","venue":"cs.CL","work_id":"58e9accf-62af-4c0c-890b-7f7ca63067ce","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.384829Z"},"links":{"cited_paper":"/paper/2501.17386","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:326ded95a15db8c2023c13750e6d8af5ff527d0b675e4c6e9e7199aa2c36562a","observation_id":"3fd62b9f-6382-46a8-9930-1589d2eb20c8","resolution":{"observed_at":"2026-08-05T14:28:42.815880Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07484","last_updated":"2024-10-11T23:32:09Z","snapshot_observed_at":"2026-08-16T13:10:54.596357Z","submitted_at":"2024-10-09T23:37:36Z","title":"WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07484","snapshot_observed_at":"2026-08-05T14:28:40.473346Z","title":"WALL-E: World Alignment by Rule Learning Improves World Model -based LLM Agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.473346Z"},"links":{"cited_paper":"/paper/2410.07484","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:1b2e3891c752474f6838295d11f217b87bdaf436fad2d9d4170fa94e5f9e93e6","observation_id":"fb88287e-b307-4eb0-9d8c-575723db98c1","resolution":{"observed_at":"2026-08-05T14:28:40.473346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09989","last_updated":"2024-09-16T04:44:52Z","snapshot_observed_at":"2026-08-16T13:18:19.161612Z","submitted_at":"2024-09-16T04:44:52Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","version":1},"cited_work":{"arxiv_id":"2409.09989","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.09989","snapshot_observed_at":"2026-08-05T14:28:42.533650Z","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","venue":"cs.CL","work_id":"eb1e399c-d3c1-49f4-ba8c-dfa73be1e97d","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.599433Z"},"links":{"cited_paper":"/paper/2409.09989","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:a5d06de83911103fe1ecef90d70b198cf10532ab891eb515b7cb1f159af8fe80","observation_id":"aedbed2f-c6d8-44d6-a625-912d074d5525","resolution":{"observed_at":"2026-08-05T14:28:42.574427Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05276","last_updated":"2024-12-09T01:44:10Z","snapshot_observed_at":"2026-08-16T13:01:53.221859Z","submitted_at":"2024-11-08T02:21:19Z","title":"GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05276","snapshot_observed_at":"2026-08-05T14:28:40.726676Z","title":"GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.726676Z"},"links":{"cited_paper":"/paper/2411.05276","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:36b000d5f64559cb26c8049d383853b7469f1e52d1b0db6bf135453869b3ee38","observation_id":"0d57e0b2-b785-4ebb-a02b-c5e5e30377c0","resolution":{"observed_at":"2026-08-05T14:28:40.726676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06799","last_updated":"2024-09-21T09:10:02Z","snapshot_observed_at":"2026-08-16T13:44:23.219262Z","submitted_at":"2024-06-10T21:08:39Z","title":"LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching","version":2},"cited_work":{"arxiv_id":"2406.06799","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.06799","snapshot_observed_at":"2026-08-05T14:28:42.324231Z","title":"LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching","venue":"cs.DC","work_id":"96c2498a-19be-441b-8d1b-898267a27372","year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.828507Z"},"links":{"cited_paper":"/paper/2406.06799","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:7ed22bcad25c69b147d43f3fd54d48479c4056ce60179d056eadfc62a870b4b2","observation_id":"cc99f3f1-5dec-41e8-b283-a5363146e0fe","resolution":{"observed_at":"2026-08-05T14:28:42.435832Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.11478","last_updated":"2025-05-26T02:30:33Z","snapshot_observed_at":"2026-08-14T20:40:14.110068Z","submitted_at":"2025-01-20T13:20:41Z","title":"Each Graph is a New Language: Graph Learning with LLMs","version":3},"cited_work":{"arxiv_id":"2501.11478","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.11478","snapshot_observed_at":"2026-08-05T14:28:42.112324Z","title":"Each Graph is a New Language: Graph Learning with LLMs","venue":"cs.CL","work_id":"e1768c8a-3bd6-4448-a30e-45fbb0eb46ba","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:40.948844Z"},"links":{"cited_paper":"/paper/2501.11478","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:9b4e8e8e3c85ffc760ca6c60696eda48f888c27e9aa52107c20eb1d17f26c3b1","observation_id":"ef7751e1-073a-43dd-a96f-f2ccd1d267cd","resolution":{"observed_at":"2026-08-05T14:28:42.189400Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02226","last_updated":"2025-05-28T09:34:22Z","snapshot_observed_at":"2026-08-17T13:02:06.466068Z","submitted_at":"2025-01-04T08:16:23Z","title":"Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02226","snapshot_observed_at":"2026-08-05T14:28:41.087285Z","title":"Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.087285Z"},"links":{"cited_paper":"/paper/2501.02226","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:e515070e8b616b0fde67a87340d4641b2f0dc3fe762dc604acb53b1a6f6c98c7","observation_id":"410b9fe9-4049-4c23-aaf4-627b22efafea","resolution":{"observed_at":"2026-08-05T14:28:41.087285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10039","last_updated":"2024-10-13T22:57:05Z","snapshot_observed_at":"2026-08-16T13:09:49.108397Z","submitted_at":"2024-10-13T22:57:05Z","title":"A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10039","snapshot_observed_at":"2026-08-05T14:28:41.222470Z","title":"A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.222470Z"},"links":{"cited_paper":"/paper/2410.10039","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:1712eba8f824e6d6dbfadcecab0d8cbb102e5a272cb046c03e01305c9b5614dd","observation_id":"1b98cda1-ee0a-446d-b4d0-b9351847fabe","resolution":{"observed_at":"2026-08-05T14:28:41.222470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06471","last_updated":"2025-01-11T08:00:24Z","snapshot_observed_at":"2026-08-16T23:44:57.425741Z","submitted_at":"2025-01-11T08:00:24Z","title":"The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence","version":1},"cited_work":{"arxiv_id":"2501.06471","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.06471","snapshot_observed_at":"2026-08-05T14:28:41.902312Z","title":"The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence","venue":"cs.AI","work_id":"a0e3a301-a7c7-4d26-86ba-1f15b201609d","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.340746Z"},"links":{"cited_paper":"/paper/2501.06471","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:22abb07271b5a52bc44757c24f6bbcde77f19f57ba6825288e4f55fc3e472ede","observation_id":"a2aa4bbb-5baf-42d5-b838-58bb2b21a26f","resolution":{"observed_at":"2026-08-05T14:28:41.985378Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14375","last_updated":"2022-09-28T19:04:43Z","snapshot_observed_at":"2026-08-16T09:29:21.586810Z","submitted_at":"2022-09-28T19:04:43Z","title":"Improving alignment of dialogue agents via targeted human judgements","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14375","snapshot_observed_at":"2026-08-05T14:28:41.464864Z","title":"Improving alignment of dialogue agents via targeted human judgements","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.464864Z"},"links":{"cited_paper":"/paper/2209.14375","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:07eb2f31f9b51c24a24e27607e34ca0ac744b8382d143b05a527bb007db9137e","observation_id":"b2a4b7ec-e03e-438b-a131-22b2553a1e18","resolution":{"observed_at":"2026-08-05T14:28:41.464864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.02155","last_updated":"2022-03-04T07:04:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-03-04T07:04:42Z","title":"Training language models to follow instructions with human feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.02155","snapshot_observed_at":"2026-08-05T14:28:41.555264Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.555264Z"},"links":{"cited_paper":"/paper/2203.02155","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:e4a4ba1dcb31d2c823456655c01c67bfe69f54ef95829d255fb8b234b3080fa9","observation_id":"d67fb2ce-c254-401e-b4b6-89d491433220","resolution":{"observed_at":"2026-08-05T14:28:41.555264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.09238","last_updated":"2022-07-19T12:49:02Z","snapshot_observed_at":"2026-08-16T16:44:52.195403Z","submitted_at":"2022-07-19T12:49:02Z","title":"Formal Algorithms for Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.09238","snapshot_observed_at":"2026-08-05T14:28:41.728152Z","title":"Formal Algorithms for Transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:41.728152Z"},"links":{"cited_paper":"/paper/2207.09238","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:341f53f82e7f88de671ed75d7d7ef94ebaee6416dc2b06d1eda550a2fe6a2ae3","observation_id":"7fe056e8-ef95-44aa-8dff-ac2ef6b47d35","resolution":{"observed_at":"2026-08-05T14:28:41.728152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14101","last_updated":"2025-01-23T21:20:10Z","snapshot_observed_at":"2026-08-16T21:15:37.017458Z","submitted_at":"2025-01-23T21:20:10Z","title":"StreamingRAG: Real-time Contextual Retrieval and Generation Framework","version":1},"cited_work":{"arxiv_id":"2501.14101","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.14101","snapshot_observed_at":"2026-08-05T14:28:43.647344Z","title":"StreamingRAG: Real-time Contextual Retrieval and Generation Framework","venue":"cs.CV","work_id":"13073698-0cca-4a89-8d8e-13336161975c","year":2025},"citing_paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T14:28:38.314400Z"},"links":{"cited_paper":"/paper/2501.14101","citing_paper":"/paper/2508.21307"},"observation_digest":"sha256:fa00f3e1eb52dc2d1268af6a6e687ad22fb09a1dce9e2991479b95b0b95bda19","observation_id":"c3f63824-fb28-473d-963a-4b42b8c43bee","resolution":{"observed_at":"2026-08-05T14:28:43.774987Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.21307","last_updated":"2025-08-29T02:08:36Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T20:17:07.617285Z","submitted_at":"2025-08-29T02:08:36Z","title":"MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":15,"verified_fuzzy":7},"total_outbound_references":45},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.21307."}