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Paper Citation Record · LEDGER

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:36.395812Z digest=sha256:eb16af3b18ddfe3ed685f944713b00e47291db04cc038bc1a2f72a5fb66a3aa4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:36.521962Z digest=sha256:6879eeb9e8cc1552929cc36fb8dea00b1cd358d41b1ef675baa9a48ada359346

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:36.620393Z digest=sha256:d5d362448244cd67919a76ceddf14b059b4d59536fc98079e0510e8f9927b4dd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:36.787799Z digest=sha256:cf691ffd13ce3a79aba691d40dcfdef2f304d33b4880430feba5687d39242e8b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:36.875299Z digest=sha256:dfde1db2074d2c89509f0293a9f50ba9f91939441830a1682d1adcfe2a3333b0

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:c0a6ebcf3fa5bf5661b595cd323381e7d311148cabf7538961bdc2b4cfcc3b21

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:37.150828Z digest=sha256:c5b3566344f156871f424be95c8f368537c097bea511cc42b8dc0af60ee60a15

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:37.299490Z digest=sha256:a2776d4493eb1261a0ff5ea02cd865b37a504537df99a4bfa657d2c740b5b14e

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:37.435285Z digest=sha256:b70a3ffc87288347e7fc34eb5e153928ff488983f3ef9e2488ae432b2cbf914a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:37.534513Z digest=sha256:374c333b03559964a3722a6f46975cb2c34eb5dd62c97ccb3758c9603534d77b

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=sha256:36f1a3e421714d8849e5cbc35bf0b48dcc3173f8a80a21c5f245fbad667f42da

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:37.837782Z digest=sha256:e6b48bdd97ef87ef4d9c24279e6d69f4072171ed60165992e31ca2e91425818b

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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source=pdf_text observed=2026-08-05T14:28:37.932904Z digest=sha256:bf4ba923f6a5e7e542ab079d3ed05df0f6dd384277260365f6f78fc372bc207c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:38.054642Z digest=sha256:662f18b358d4dfd94825aa970c4c987be700de2414bfb12d16175e38fc410648

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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raw_fallback, observed 2026-08-05T14:28:45.124067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:38.156379Z digest=sha256:1c78b4abecdf27dd377ebd448b8b924a5d9a984ff635d30eb4b629983709a398

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=pdf_text observed=2026-08-05T14:28:38.469837Z digest=sha256:85e6757eba2ff8b1b2c40ecf48ef2bf78548c1f2654e1fcdee337f8915cd74ce

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:ada03996758650c9ebb8ba944ab2a5de7ddc4f60795540c5a1ed7b1a09bb69c0

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=sha256:053d822497d6e84f1585bbe36ff339e430210281a54ee749bbb6e5498b7f70c8

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=sha256:287121115bc63761db1261fb3185320ea3c9e85caec3785eb8b022075df9cfc9

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:fe5a7155d7cf78f611fbd05b3bbded529dd19ac47593c00e25b02ef21c48fa73

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:39.261754Z digest=sha256:258976485477804a120ae5ea9e246c0c48849328e21b014767a5f71c0d29e44f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.398307Z digest=sha256:2672e0333c93614b817e13256dc9d77831944f1a9a7cbd30882f21d47a31c5f9

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:39.491374Z digest=sha256:0403f643ce92b33ebd09b95a6482dd291e41fe019b48917175d597a94f750b5a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:39.572792Z digest=sha256:11461564a73bc8fad4c1e861e0089d52a4c7be0538ac43d27ff6682449df2fc8

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=sha256:8ab09a2ddcfe1016ef75892ebd525c9a9d4471c3adb1778dcab569a502561c82

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=sha256:3dbd393826d08bef22f2de4a4fbaf2a54e05b097ca5189b95ec128846a5101c5

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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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:39.900468Z digest=sha256:41e8d9e01035f54c65829aba47de9dbe146f0e3501dd69c4055a67c1f070d24e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:39.988703Z digest=sha256:240953d7c8df0a18d200cdf1ddc5755d86c110509cc51f34138995a42677c00e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:40.109809Z digest=sha256:2ca99bdd778516ddc97760008158a23e9c8c8f51d9fec813dc2e481551204945

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=sha256:68334f23ffbd270d13b4c5a0b7edb384439045d074fcefb155d947beb9fcd54a

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:fbdeacff2cb17df1a3795c67d9d88c8678497705d96166e0edab18ffcdff60e0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:40.384829Z digest=sha256:23e501c7531993e36e1d4f535751528721f2351369bf8f1750bb06f59ef2dfbb

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=sha256:1b2e3891c752474f6838295d11f217b87bdaf436fad2d9d4170fa94e5f9e93e6

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:40.599433Z digest=sha256:f1072a7d8e5c3ab3bc3402bd4d54849c8e5becbf55b9dacb5c874e2596f08eac

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=sha256:36b000d5f64559cb26c8049d383853b7469f1e52d1b0db6bf135453869b3ee38

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:40.828507Z digest=sha256:fd233eab4fe46d378a2bb57e35d410af3b32c729ddfe42c2d97ed7cd35ae4e7a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:40.948844Z digest=sha256:6895c5f9ff6eee393d9572555465e06a2b231ccb35f2dc8aeb6b0a1f6731bf92

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:e515070e8b616b0fde67a87340d4641b2f0dc3fe762dc604acb53b1a6f6c98c7

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=sha256:70aca038a176250a5e7807e3fa306c9cf5b8fcf8b241a09cf2c4400acbf7f9f6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:41.340746Z digest=sha256:56145c5d89e7ece67f4fb16117477f6892d81c264118d057738628b264c526a8

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=sha256:07eb2f31f9b51c24a24e27607e34ca0ac744b8382d143b05a527bb007db9137e

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:e4a4ba1dcb31d2c823456655c01c67bfe69f54ef95829d255fb8b234b3080fa9

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=sha256:341f53f82e7f88de671ed75d7d7ef94ebaee6416dc2b06d1eda550a2fe6a2ae3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T14:28:38.314400Z digest=sha256:f5e2fe598240a9b0c72fc483702e780f88deb6e9c095bbdc39481cd752f1265e

Pith citing papers

No inbound Pith citation observations are available.