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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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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.

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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=sha256:66dc309effd1e367388016a1566b394664d3e9b62494280f006f17305787c6a0

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

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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:ae2591f8d17c2d794348aef00bb945128089bf127746c90e47eddf3674075f62

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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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:a8f3f8948881be27ef0833ba0671b6763434d201705866f169a7adfba1ea6950

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=sha256:484a0fb5ca0c4be18f2601ee75212c7a55296b355688bfcd068e9d442866edd4

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=sha256:582a536e85f39cf191af022b6f4ab1ed896672d22260c2a930926624dc1bc996

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

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source=pdf_text observed=2026-08-05T14:28:37.027371Z digest=sha256:b765c13fe03b4ee66bef130c55a87e6ae72e5a2922d14d7f640a5e3bd8826372

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=sha256:1b314cb81b2abb2a2b7cc862c64b962000ffa3dbbc45a3cc9fbc6a08fbe07302

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=sha256:0b6248f260c4189c1f123c611b600690236534da47b35fc93bb414818e98f2aa

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=sha256:3b5419d29c0a9ecdf0c04c39aea811c6ce8b7620364478b905b1230794c1b3d0

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=sha256:18f2e35797117e819a5b6289983668ddef77ab101b1201efcb2362d7b4a7b3f9

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:abff12a1aec269d1673127c17096ffd87c59eb7a1095d74e25549d5c903f8247

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.837782Z digest=sha256:b825a0a49296704316870ad2212169e178d7fd2ea1e9187f65c5748ae24ea9d7

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

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source=pdf_text observed=2026-08-05T14:28:37.932904Z digest=sha256:3edd60098c769d702a402533bf51f2a92a19e9a71ecd94598d9fda9e9e16aced

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

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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:fc6a06d23f11b7f75e9329fa14081768d80481eae2256dcd09bdf44839ac5266

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=sha256:74787c02e54c93a9809ac2dd1986cc2f7e88e118720ecd199cd53b303462ba68

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=sha256:8bd457b6a9dee263763fa5c87a266f31e82e029af69d0c5f607bf71672ef0e25

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:b5c4a6f0bbcb82adc7bb0ebf387a6e8bdb6c1a2d64d574a93b08af6fb1877cfc

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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source=pdf_text observed=2026-08-05T14:28:38.856963Z digest=sha256:b7c9af8cff7bbf76fba285e91fcc2343eaa81878eb96f1f596fa55effbdfd141

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=sha256:21583e6582953d032f3870d915958ac8ee358c0c8e4ee41af27c9a022e5ace83

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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source=pdf_text observed=2026-08-05T14:28:39.084555Z digest=sha256:5704713580321a1d0fd47a5dcaf378e15024d5e3013d5167669f653eef80be01

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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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=sha256:7c78c1ea4340ddbfaf35ea22f631766b00ec4e8b06c6a32ae24dc0496be2be70

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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source=pdf_text observed=2026-08-05T14:28:39.398307Z digest=sha256:98a321d6ae8b7874267e5ff65cd33a59835a9583a3834e645d0a7c948fd4b729

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=sha256:120a1409889366a99a8d02fdf9f2aa18b31fc35f459929b34986b680db40e2f9

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:fc5f1f891ff50f82c6280786b0ed0fe520d32b25b5ca3fb98cd34123e47099bf

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.722780Z digest=sha256:644ccb8d3595282e6f500b8dea5904dc79536c4d72bdf20b5b503e20abb42e60

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:ec372c8a333e10b789cddf9109af19c4445496156a9ac444ae22de916a93bc75

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

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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:cae749974035736c6a5ed7b639bc5caaa749f64f987c33980f0e3e18573c26d8

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=sha256:7e5947f9e7dc49d0aa9018684db82e2483dbe11c37af2ab77060f2faad45ec60

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

Resolution
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:f10e659ac00df4602ab6d1a358dade14261005946b6ddfeb4e0c2ed47759c42a

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:da94dae6ab6cb59ecb6377ed92df82fcb1631bb90fa4b07171804f10004bb1a8

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:40.282647Z digest=sha256:fc4b076d2aa8a07638a1ab5c7b96569531a5646efdef81a7c3bb54ea13e29e8e

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

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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=sha256:9769fe205cc8c4f97387b9b686b1a0d6fbaa2dc07242ee37c7d173249812c4a9

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=sha256:7aa1ce7992af64bea4257e53e374667c911eb76c530bfe0ba2ea8061bda4f877

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=sha256:4f4ce5ccb005a66537c2ff7a529cbcd3ea0be1e81537e4f7dfff9c0364b31ec8

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=sha256:1dc91a6ed009b095df4e26537fca157ee3dfa0d737b5b11c29ee5a319ae56826

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=sha256:6bfcae410e5cecc856b5209f8657d0fbbd6a43d984e3da60bcf4ffe88af8d958

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=sha256:748205ba75c26e9c5fdc6a7e9a57bdb032cc234e9b8b29da1ca0449e0b6a564f

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:eaba3242580f4d80a447c422859c96ee3b323cc7a8990617fbe555c339c8eebd

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:bcd36194af8e489b04af1143a571cec3c0bd22a1dbff7bee82ca5299388beffc

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=sha256:61f406568d95d6545e2e8c4f20358d6a60f3a14670576d4473030872e4b04d0c

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=sha256:3b6fa9d09e25bf6822c7270b3fc53a953a36286413291757e97ea55fbf01f438

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:c9229f7a99b8f8587e78e5f83a48dc79c7a83ea21651d7ba16149dcc8cd34625

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:a3f42d210d3cb6dd9ee9aca32b6819611f7eaaee5b06b5920100c4e7998095e4

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=sha256:7460983a74797219bb26f5cf4ab3544f1add58f7891db18a7045949eefb012b2

Pith citing papers

No inbound Pith citation observations are available.