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Paper Citation Record · LEDGER

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.21307.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.21307 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:28:41.728152Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact15
  • verified fuzzy7
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28b93064-b694-4a25-b2ed-fe1a89f6124e · outbound

This paper cites AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-05T14:28:46.053126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.302072Z digest=sha256:f68b5c79b617ab4f437d86df7fe14f88a6a96e75d0f29698ad114367602e2a4e

Observation 9ed58d1a-327b-4b0a-ac2b-5b80f37a556b · outbound

This paper cites The impact of AI and machine learning on software product engineering.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems The impact of AI and machine learning on software product engineering

Reference 2

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raw_fallback, observed 2026-08-05T14:28:45.907507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.395812Z digest=sha256:0b159c060c10dbcc0c600d7d4a46ca2e424ecc9eae61bd2c4acfeba1dc8667ec

Observation 27b831bb-d59d-4195-b176-faaee7563606 · outbound

This paper cites 20+ Product Engineering Challenges Engineers Face (With Possible Solutions).

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems 20+ Product Engineering Challenges Engineers Face (With Possible Solutions)

Reference 3

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raw_fallback, observed 2026-08-05T14:28:45.713625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.521962Z digest=sha256:f727c1fb809028706563475ee5778034503e147900c1e9ede2aec4c0922a0f80

Observation b0e1ec08-f54a-4757-bba4-15005c545d2e · outbound

This paper cites Top Product Engineering Challenges Faced by Teams.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Top Product Engineering Challenges Faced by Teams

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T14:28:45.590724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.620393Z digest=sha256:00cb71652c155d5351ec23139d9085fa7327bb0c56ece9c6384b55044906d90c

Observation 01cb6f3f-4cdc-486e-9da2-8c19e0df4fde · outbound

This paper cites 17+ Product Engineering Challenges and Solutions.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems 17+ Product Engineering Challenges and Solutions

Reference 5

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raw_fallback, observed 2026-08-05T14:28:45.451573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.787799Z digest=sha256:a39ec5cd5de3f70f69f8a9f7a7d68392e1e9f2a2abd1ddef71a2ffc2b4d617bf

Observation 89a6b37f-e6f0-4df4-9418-682e5f7cefb9 · outbound

This paper cites Orchestration Frameworks for Agentic Systems: Strategic Insights Automation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Orchestration Frameworks for Agentic Systems: Strategic Insights Automation

Reference 6

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raw_fallback, observed 2026-08-05T14:28:45.336661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:36.875299Z digest=sha256:a9a2460c1d3fdf650e838bdeee3f588cbabb95daa4a1f2bc2ffde5ee0298f8ab

Observation 18e41f1d-bf9d-4984-8751-aaa717f121d9 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.027371Z digest=sha256:8d78c447dca16a49ca012342349a3242373002a4e1157986345095d8aa04e9b8

Observation 94a691e1-34dd-4be0-a680-e97858fdcb5f · outbound

This paper cites Text vectorization via transformer-based language models and n-gram perplexities.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Text vectorization via transformer-based language models and n-gram perplexities

Reference 8

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local_arxiv, observed 2026-08-05T14:28:44.714149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:37.150828Z digest=sha256:b29c5f77d9892643bb44402648dbe25d704c953bbc95ba16ee2a9dd66bf558c9

Observation b804fa35-fa11-495b-8ee5-bdbb95232f2d · outbound

This paper cites RETVec: Resilient and Efficient Text Vectorizer.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems RETVec: Resilient and Efficient Text Vectorizer

Reference 9

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local_arxiv, observed 2026-08-05T14:28:44.521258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:37.299490Z digest=sha256:ee4740ad4254423eb50b5e85f859dd281e51ce574bcab17767e4f7370aa53e8d

Observation ecf7ce21-8bd1-4593-8647-86e8af57ab18 · outbound

This paper cites A Method for Parsing and Vectorization of Semi-structured Data used in Retrieval Augmented Generation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Method for Parsing and Vectorization of Semi-structured Data used in Retrieval Augmented Generation

Reference 10

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local_arxiv, observed 2026-08-05T14:28:44.379169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:37.435285Z digest=sha256:3af8e69c4f33d1e59633522b206a40d2cb05812073760d5329db3c0c14cc68fb

Observation 99a49a01-1d45-455b-8a2a-6e9dab1f73ed · outbound

This paper cites Towards Layer-wise Image Vectorization.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Towards Layer-wise Image Vectorization

Reference 11

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local_arxiv, observed 2026-08-05T14:28:44.188774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:37.534513Z digest=sha256:4c0355547617c762f132b5b2ae3cfe68ab2d2edcc6672acaf82fdfb5368b6f6e

Observation cb06ce9c-aeb2-4832-9ae8-a8883e7fe6e1 · outbound

This paper cites Image Vectorization: a Review.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Image Vectorization: a Review

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.680139Z digest=sha256:fe6b3b79f3e201af72b2a623bef3a82279b539056cfed2bc811b1e40f3f90ad1

Observation e2801588-2fe0-4b20-8828-917c861eb531 · outbound

This paper cites RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

Reference 13

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no resolver link, observed 2026-08-05T14:28:37.837782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.837782Z digest=sha256:47200f88dcfbd930c18020c12bf5c7cd42becf5b1352cc8cd4cbdfa6d41a5dee

Observation 347e9ca1-f020-4eed-8969-5d0979cfd26f · outbound

This paper cites CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Reference 14

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no resolver link, observed 2026-08-05T14:28:37.932904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.932904Z digest=sha256:9331f3e75ad09250b497f1f4d277ffb663cef0c86170fbc8370783b0b581a540

Observation c2849724-1241-4a5f-aff7-388d66a9a193 · outbound

This paper cites CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation

Reference 15

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local_arxiv, observed 2026-08-05T14:28:43.945397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:38.054642Z digest=sha256:8e86f18e344bde4a7398097b8404154f6fd46816ae19c13a5d7597532051ee7a

Observation dd2d57ad-de7c-4a39-8b4b-f7fc82b50252 · outbound

This paper cites an unresolved cited work.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:38.156379Z digest=sha256:edd9bd4f20154b572c5cbc66fbfb54d0976c2afb0f61ae0e59d08638827e9d6a

Observation 720a9def-afee-4097-a419-2ecffc666dfc · outbound

This paper cites Large Language Models: A Survey.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Large Language Models: A Survey

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:38.469837Z digest=sha256:7978997efa15479fe077898733c3399ff4060fec3d14e74ddd42c7a28746622c

Observation 601cdcdc-7f75-4e76-b099-2561588d194a · outbound

This paper cites A Comprehensive Overview of Large Language Models.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Comprehensive Overview of Large Language Models

Reference 18

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source=pdf_text observed=2026-08-05T14:28:38.568865Z digest=sha256:6a28122f79cfafe09d5cc07dcee20721c3ddbd80e004a9480e3713fa256c0197

Observation 9fa814c3-ad02-482f-a63b-0aae319500ea · outbound

This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:38.856963Z digest=sha256:e78d2e770fd138029d6d448035dcbc80bac3433e788db61b916a8a39707f754c

Observation bc3e986d-920c-48a3-8b26-9e9c5981e50e · outbound

This paper cites Searching for Best Practices in Retrieval-Augmented Generation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Searching for Best Practices in Retrieval-Augmented Generation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:38.966921Z digest=sha256:6abacc813b3bd8eda53eae3eed80588953c1314818c3026f6f6df8738e4e1009

Observation de6cc2b7-23b0-4a85-907b-6144e8e09694 · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 22

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no resolver link, observed 2026-08-05T14:28:39.084555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.084555Z digest=sha256:2a9408c5bb463a8185fe90901f03cee045ca0fb339b5594098992d135bbbdf08

Observation f49dc5c3-7f7e-4cbc-97b6-bc920d3c890b · outbound

This paper cites A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph

Reference 23

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verified exact
local_arxiv, observed 2026-08-05T14:28:43.515960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:39.261754Z digest=sha256:f00683154d5922662125c8478d21f515602f1ffea252d2efaef226d56201581b

Observation 5fbe0bf1-3ba7-4cde-bc55-20ed39fb963e · outbound

This paper cites Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations

Reference 24

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no resolver link, observed 2026-08-05T14:28:39.398307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.398307Z digest=sha256:bcd5f5c9059765b8f2f0bc874247bbcce2364050be159dfa33575ebc6eeb0ab9

Observation 50a48088-4da3-4e3b-b1b6-4a09de9134ad · outbound

This paper cites Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:43.360760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:39.491374Z digest=sha256:bd05e7238c8d683247635353c773941441a5736625e3d682c0bc03a54215c498

Observation f1a0c033-828f-4072-b4be-bd3343ee734c · outbound

This paper cites Investigating Explainability of Generative AI for Code through Scenario-based Design.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Investigating Explainability of Generative AI for Code through Scenario-based Design

Reference 26

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local_arxiv, observed 2026-08-05T14:28:43.171155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:39.572792Z digest=sha256:17df3d8c40986fc40531333889d223791f61e4651f3a58adb07aa512986d9b1e

Observation bef82fe0-8450-44bf-bdb5-61971a3c705d · outbound

This paper cites Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Reference 27

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no resolver link, observed 2026-08-05T14:28:39.722780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.722780Z digest=sha256:c28c96ad1a5135c7dab48d4e0826e80a77ed1fd129725ce2a14b0a9e80014363

Observation 18e257b9-e0d6-4fd0-9da3-60e4cee82949 · outbound

This paper cites Generative AI at Work.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Generative AI at Work

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.796183Z digest=sha256:2acb723730b19729ef8c235e8087fd7c8d3b8f74eeee44b77e0bbecd9868d4ae

Observation 8d921589-c684-4472-8bc1-2dce26df3989 · outbound

This paper cites Improving Language Understanding by Generative Pre-Training.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Improving Language Understanding by Generative Pre-Training

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:28:44.895587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:39.900468Z digest=sha256:84b82b5e5fe4f179b0dfb4f65fc70e97fbbf98d0b78a6adef72422aab8d63e6a

Observation 8aa7a4a6-07d9-461f-b276-4e1c25f312bc · outbound

This paper cites Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism

Reference 30

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no resolver link, observed 2026-08-05T14:28:39.988703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.988703Z digest=sha256:e27912451b76b3546d82b811120fa2f3d5a375f8b930270be5861818e5af9b36

Observation 07976cf2-34a1-4021-9f23-6f51d2cff9b4 · outbound

This paper cites BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems BEST: A Unified Business Process Enactment via Streams and Tables for Service Computing

Reference 31

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verified exact
local_arxiv, observed 2026-08-05T14:28:43.004048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:40.109809Z digest=sha256:45d830917417e50274d5b416209cfcc33f2bba80f4ea58fc5ad4a9472c9f789b

Observation 35f3474a-14f1-46f0-b8e2-faa25cfe7a27 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 32

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no resolver link, observed 2026-08-05T14:28:40.225327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:40.225327Z digest=sha256:85db117cebc6a4429e98329b728b393219747f676a6d87a77d8db088d0782aa7

Observation a9144a2c-7bda-4665-9b54-3a7cbc39dc47 · outbound

This paper cites CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence

Reference 33

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no resolver link, observed 2026-08-05T14:28:40.282647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:40.282647Z digest=sha256:ed7c03a07c359d71bb037a89b30fe4052c9e90a1857e3bc0932439115b3935e8

Observation 3fd62b9f-6382-46a8-9930-1589d2eb20c8 · outbound

This paper cites Context-Aware Semantic Recomposition Mechanism for Large Language Models.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Context-Aware Semantic Recomposition Mechanism for Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:42.815880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:40.384829Z digest=sha256:001d16f0abacd7a7e815446764402f4b37024bddfc2ec28e68b113a466e0b623

Observation fb88287e-b307-4eb0-9d8c-575723db98c1 · outbound

This paper cites WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

Reference 35

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no resolver link, observed 2026-08-05T14:28:40.473346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:40.473346Z digest=sha256:15f0fab89c1f7e42379eda5bafed60ccf28997f72946d5bb36cb84e9fd2c8b36

Observation aedbed2f-c6d8-44d6-a625-912d074d5525 · outbound

This paper cites Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:42.574427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:40.599433Z digest=sha256:6b5706d26b7ad76efad9878136813a1d41a2a691f6ea23fe61b61242c938b066

Observation 0d57e0b2-b785-4ebb-a02b-c5e5e30377c0 · outbound

This paper cites GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:40.726676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:40.726676Z digest=sha256:3d05b2371f810982950b12489e322c62f16b23c966553e96467d052712889edb

Observation cc99f3f1-5dec-41e8-b283-a5363146e0fe · outbound

This paper cites LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:42.435832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:40.828507Z digest=sha256:c734d1a32b28216ab732143a96e7bbf0d1c96e0466aa36c2a3a807b7ec569cf0

Observation ef7751e1-073a-43dd-a96f-f2ccd1d267cd · outbound

This paper cites Each Graph is a New Language: Graph Learning with LLMs.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Each Graph is a New Language: Graph Learning with LLMs

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:42.189400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:40.948844Z digest=sha256:5698428565b47e8993e8445ebba462127f5a9d68b03311f7f22d5865e5176c5d

Observation 410b9fe9-4049-4c23-aaf4-627b22efafea · outbound

This paper cites Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:41.087285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:41.087285Z digest=sha256:8f188b11c293af0b5035df2ec68802c70c5122d68f71a8474bb5bcd025808a70

Observation 1b98cda1-ee0a-446d-b4d0-b9351847fabe · outbound

This paper cites A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:41.222470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:41.222470Z digest=sha256:62aff72de10fe96c9ab016733b21872f026063069482c80c74e19281800b5189

Observation a2aa4bbb-5baf-42d5-b838-58bb2b21a26f · outbound

This paper cites The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:41.985378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:41.340746Z digest=sha256:a43add70971198afdcee4f318f66d0cd7e1dcbf688f9cc2c3901294327682249

Observation b2a4b7ec-e03e-438b-a131-22b2553a1e18 · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Improving alignment of dialogue agents via targeted human judgements

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:41.464864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:41.464864Z digest=sha256:1c1e20260f33767f5e753a90fef208c0420e610f35e06ec9d13d11625d43f96d

Observation d67fb2ce-c254-401e-b4b6-89d491433220 · outbound

This paper cites Training language models to follow instructions with human feedback.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Training language models to follow instructions with human feedback

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:41.555264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:41.555264Z digest=sha256:dcfb7cbe3ba55d9d7eee86d0eec426e51925d84cbf48887fa12fecb637e61abe

Observation 7fe056e8-ef95-44aa-8dff-ac2ef6b47d35 · outbound

This paper cites Formal Algorithms for Transformers.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems Formal Algorithms for Transformers

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:41.728152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:41.728152Z digest=sha256:66cc5ded068b8fb81ccc9ddb5d06761a609f2e56f44f098e747b1f3e7e992930

Observation c3f63824-fb28-473d-963a-4b42b8c43bee · outbound

This paper cites StreamingRAG: Real-time Contextual Retrieval and Generation Framework.

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems StreamingRAG: Real-time Contextual Retrieval and Generation Framework

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:43.774987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:28:38.314400Z digest=sha256:aee36326fda8d261c56eacbf1c6f649c0b80e893b1fac5e874519ee88140034a

Pith citing papers

No inbound Pith citation observations are available.