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Paper Citation Record · LEDGER

Harmonia: End-to-End RAG Serving Optimization

As of 16 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2505.07833.

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

pith.paper-citation-record.v1
2505.07833 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:40:04.787699Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

89 of 89 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0480d2e8-106d-459a-83a8-1f76c17d4325 · outbound

This paper cites https://grpc.io/, 2025.

Harmonia: End-to-End RAG Serving Optimization https://grpc.io/, 2025

Reference 1

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Observation 87b47cea-c865-4ec5-b17b-3df01f7d7cf0 · outbound

This paper cites Infercept: efficient intercept support for augmented large language model inference.

Harmonia: End-to-End RAG Serving Optimization Infercept: efficient intercept support for augmented large language model inference

Reference 2

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source=pdf_text observed=2026-08-16T04:40:04.268066Z digest=sha256:ae06b30b482a82ede76740e33df63f3216a14f9dd9fcbbdb83c487f622ba2b9a

Observation 85f9870d-eca0-4bac-92e5-d621a86044b4 · outbound

This paper cites What’s new in gurobi 9.0.

Harmonia: End-to-End RAG Serving Optimization What’s new in gurobi 9.0

Reference 3

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source=pdf_text observed=2026-08-16T04:40:04.279508Z digest=sha256:5c97e2afdfa2af652bae40533b1e357fc5a72ece0593699f56e368b6f904175e

Observation 81f62ec3-5d84-4aed-a8da-f5ebdb970fda · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

Harmonia: End-to-End RAG Serving Optimization SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Reference 4

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source=pdf_text observed=2026-08-16T04:40:04.288007Z digest=sha256:71d19aad625a2e06ad3e3f0176ea83a903571cd84f21edeae76af91a93e75d72

Observation 966905e3-01a9-496a-b02c-c43b34009d9e · outbound

This paper cites Programming with legion.

Harmonia: End-to-End RAG Serving Optimization Programming with legion

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:40:04.296338Z digest=sha256:56981eff231c3fa4d6ca31f1daef793a57460326f0ae55417009207bb2ced93c

Observation fe05ce2a-03d6-4103-95a9-b6593c32820c · outbound

This paper cites Improving lan- guage models by retrieving from trillions of tokens.

Harmonia: End-to-End RAG Serving Optimization Improving lan- guage models by retrieving from trillions of tokens

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.303671Z digest=sha256:eb4d621b32ea1e318baecc34acbdbb8a72db9b5bd2ecd400a4d84dd3b02798a1

Observation bacffb9e-e8fd-49ce-a0d0-32d5ca798013 · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

Harmonia: End-to-End RAG Serving Optimization RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 7

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source=pdf_text observed=2026-08-16T04:40:04.311048Z digest=sha256:5826043e0c7e250bd65f10e0f53e189063a5233e512bcdd78c078cc706320dae

Observation c2868bcf-0928-43e9-abfd-557519f96b81 · outbound

This paper cites Lire: Efficient query rewriting for re- trieval augmented generation systems.

Harmonia: End-to-End RAG Serving Optimization Lire: Efficient query rewriting for re- trieval augmented generation systems

Reference 8

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source=pdf_text observed=2026-08-16T04:40:04.316474Z digest=sha256:0ba418f6b26a0a4de83364eb0c009e96eebedaa9d64b2916a7bd655a6248e79b

Observation d16ba18f-498d-40bf-8243-3b66ba97baa3 · outbound

This paper cites an unresolved cited work.

Harmonia: End-to-End RAG Serving Optimization Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-16T04:40:04.321800Z digest=sha256:ca5487836e35209bedd19d75f23ac027a0376c5065dc09cd6e5e62b0c36a8ab9

Observation 872d91e7-9d31-43eb-a149-f470a3cc49dc · outbound

This paper cites Xgboost: A scalable tree boosting system.

Harmonia: End-to-End RAG Serving Optimization Xgboost: A scalable tree boosting system

Reference 10

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source=pdf_text observed=2026-08-16T04:40:04.328120Z digest=sha256:187b3b36914adc45d2780fb4c07e7a24fbbc298329ca37a3af594dbd2d6c1504

Observation 6b19faf4-2332-440b-a10a-c760c0bdcdaa · outbound

This paper cites HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA.

Harmonia: End-to-End RAG Serving Optimization HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA

Reference 11

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source=pdf_text observed=2026-08-16T04:40:04.333272Z digest=sha256:7f4b54a24efe61f742a0239fa80031d03f98607f0e6fb0692fa1b6aea7ad9131

Observation 8ff8f5b7-9eca-4e70-9ed2-d8dc9b13b80b · outbound

This paper cites Llm-inference-bench: Inference benchmarking of large language models on ai accelerators.

Harmonia: End-to-End RAG Serving Optimization Llm-inference-bench: Inference benchmarking of large language models on ai accelerators

Reference 12

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source=pdf_text observed=2026-08-16T04:40:04.338828Z digest=sha256:4c6f51424257f92d17c8eb134ac1b019f461fe2874242325245630221a0d3746

Observation e9b0ca4a-0c47-417e-9cf5-d91560a4f9cb · outbound

This paper cites Lazybatching: An sla-aware batching system for cloud machine learning inference, 2020.

Harmonia: End-to-End RAG Serving Optimization Lazybatching: An sla-aware batching system for cloud machine learning inference, 2020

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.344185Z digest=sha256:949cd620652cbeef5a7b9d4452aa3d796a483dd8caf9b52a0ad63821f88e9391

Observation d96d695b-04f2-41f9-8688-22f7d57ee945 · outbound

This paper cites https://github.com/ chroma-core/chroma.

Harmonia: End-to-End RAG Serving Optimization https://github.com/ chroma-core/chroma

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 38586f25-f17a-4230-a053-4f724788060a · outbound

This paper cites Clipper: A{Low-Latency} online prediction serving system.

Harmonia: End-to-End RAG Serving Optimization Clipper: A{Low-Latency} online prediction serving system

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.356160Z digest=sha256:985827283c0f687ef0ea15f8303f3c42fc1177db00b8068d70db61205627dd2e

Observation 9e0df209-7ed1-4cc7-94b0-ea6121bf3731 · outbound

This paper cites Mapreduce: simplified data pro- cessing on large clusters.

Harmonia: End-to-End RAG Serving Optimization Mapreduce: simplified data pro- cessing on large clusters

Reference 16

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raw_fallback, observed 2026-08-16T04:40:06.448239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.362538Z digest=sha256:b9964637707d9a65712bb573032a29882854a40451a9247a87a8ae8a733ef189

Observation 4bfec62a-cd14-45c0-ba84-c0030a34bf4c · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Harmonia: End-to-End RAG Serving Optimization From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 17

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source=pdf_text observed=2026-08-16T04:40:04.373824Z digest=sha256:3f6a5854d5983cd6e681cf1dd3c62f2805720c264f5b522953db279cf6e7564f

Observation a3d065ee-fdac-4d2e-836d-7755387e1339 · outbound

This paper cites KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation.

Harmonia: End-to-End RAG Serving Optimization KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation

Reference 18

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source=pdf_text observed=2026-08-16T04:40:04.380147Z digest=sha256:871e1808e5df90eff98829f977dac68746a162c038342235008b99099ca6850f

Observation 3969794f-a71e-47f2-9710-28c2c19b8e6a · outbound

This paper cites T-RAG: Lessons from the LLM Trenches.

Harmonia: End-to-End RAG Serving Optimization T-RAG: Lessons from the LLM Trenches

Reference 19

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source=pdf_text observed=2026-08-16T04:40:04.386092Z digest=sha256:f8010a73d9e7f82dcd88d128ceb2a8682bffeb85e6e1aa4518fdf2a023c09bb9

Observation 5982065e-aeea-4bbc-85b2-d3b902d91787 · outbound

This paper cites Chainpoll: A high efficacy method for LLM hallucination detection.

Harmonia: End-to-End RAG Serving Optimization Chainpoll: A high efficacy method for LLM hallucination detection

Reference 20

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source=pdf_text observed=2026-08-16T04:40:04.394614Z digest=sha256:c2438b26573b15abf9fe4f8966988dc9814b1a7daa7f473cb165a11e96437483

Observation 3cd6b6c9-2136-4ace-ab7a-e059cfe4ad25 · outbound

This paper cites Dominant resource fairness: Fair allocation of multiple resource types.

Harmonia: End-to-End RAG Serving Optimization Dominant resource fairness: Fair allocation of multiple resource types

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 47e8c3fb-8115-4cad-97f5-5259d393d5ad · outbound

This paper cites Serving {DNNs} like clockwork: Performance predictability from the bottom up.

Harmonia: End-to-End RAG Serving Optimization Serving {DNNs} like clockwork: Performance predictability from the bottom up

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d1e3e448-832b-4a24-8077-a44f5135071a · outbound

This paper cites Accelerating large-scale inference with anisotropic vector quantization.

Harmonia: End-to-End RAG Serving Optimization Accelerating large-scale inference with anisotropic vector quantization

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 601abd6f-0926-434b-b173-0773b9221642 · outbound

This paper cites Hipporag: Neurobiologically inspired long-term memory for large language models.

Harmonia: End-to-End RAG Serving Optimization Hipporag: Neurobiologically inspired long-term memory for large language models

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.422411Z digest=sha256:d8e84df81488bd9c46ecf47b876caa4e22672cdf34669282e18f10c4c03c839e

Observation 5b59579f-e527-4887-ae78-191cec470181 · outbound

This paper cites Hipporag: Neurobiologically inspired long-term memory for large language models, 2025.

Harmonia: End-to-End RAG Serving Optimization Hipporag: Neurobiologically inspired long-term memory for large language models, 2025

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a4294cf2-6451-4ec3-9b4a-11270090e3ff · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Harmonia: End-to-End RAG Serving Optimization Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 26

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source=pdf_text observed=2026-08-16T04:40:04.433410Z digest=sha256:530aa5617d0f25a2ee41a3deb258cf5d012b9bc42a7f4954318eca45ea45beed

Observation 6800c883-0114-4076-983b-008334cc0724 · outbound

This paper cites Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations.

Harmonia: End-to-End RAG Serving Optimization Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

Reference 27

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source=pdf_text observed=2026-08-16T04:40:04.439592Z digest=sha256:4d69f65462f5e4cb7853993540b36f86c3dfe798d38a26794bc709934f5b1ef0

Observation 8c0a8b22-bb5b-47de-aa80-23ac4f533e69 · outbound

This paper cites MOSEL: Inference serving using dynamic modality selec- tion.

Harmonia: End-to-End RAG Serving Optimization MOSEL: Inference serving using dynamic modality selec- tion

Reference 28

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raw_fallback, observed 2026-08-16T04:40:06.307531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.446275Z digest=sha256:e0dc029f278854a385067f18c3cf484e1b0fb7b73fc866622736ca9bc61d3dc8

Observation 9a31c2f9-5537-451d-8b58-e0f51729b5b3 · outbound

This paper cites RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving.

Harmonia: End-to-End RAG Serving Optimization RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving

Reference 29

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source=pdf_text observed=2026-08-16T04:40:04.457808Z digest=sha256:b8a55f83aa7593c930774e7fe486f450b23977ff1fb1d28a639ce4cacfed6840

Observation 8b79768f-e2fc-4e50-b215-73d0c07ce3dd · outbound

This paper cites Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models.

Harmonia: End-to-End RAG Serving Optimization Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models

Reference 30

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source=pdf_text observed=2026-08-16T04:40:04.464445Z digest=sha256:77b776ae6efa08472db79252f9f1cc2e0aa73882a0d1a772e5755903d5b8ef91

Observation 7ebfefd1-a91b-49bb-8216-e347fa90ff5b · outbound

This paper cites PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design.

Harmonia: End-to-End RAG Serving Optimization PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

Reference 31

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source=pdf_text observed=2026-08-16T04:40:04.470123Z digest=sha256:824543206c0a51a757064b57c371e8e252f8b6a943399a087c79170fed1576ef

Observation 400ad052-cf0b-4a6b-bbdb-03a76ba5a067 · outbound

This paper cites Active retrieval augmented generation.

Harmonia: End-to-End RAG Serving Optimization Active retrieval augmented generation

Reference 32

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source=pdf_text observed=2026-08-16T04:40:04.475868Z digest=sha256:f8d7e7251cc69a1d1cfd589dafb39258e51df9f6d3fc566716fa410193ac46ab

Observation df8e8a23-abf1-4809-8dda-486c8ceb0011 · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

Harmonia: End-to-End RAG Serving Optimization FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 33

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source=pdf_text observed=2026-08-16T04:40:04.482339Z digest=sha256:1112db5de4e9dbbf08a82128ee24483044dcdcebb5f0bb1528ba8fea4963ab3a

Observation af1aba66-2013-49c6-9be2-f5b4181967c7 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Harmonia: End-to-End RAG Serving Optimization Efficient memory management for large language model serving with pagedattention

Reference 34

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raw_fallback, observed 2026-08-16T04:40:06.262401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 08c53ec4-5543-4b77-9b66-fbde3b247873 · outbound

This paper cites https: //www.langchain.com/langgraph.

Harmonia: End-to-End RAG Serving Optimization https: //www.langchain.com/langgraph

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 756e2512-3bf2-4e1e-9d52-a6d6be35a141 · outbound

This paper cites Pre-training via paraphrasing.

Harmonia: End-to-End RAG Serving Optimization Pre-training via paraphrasing

Reference 36

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raw_fallback, observed 2026-08-16T04:40:06.230614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.499034Z digest=sha256:610bf81d34de8d284989bc76534145d6e20569c0c58693f5a19d36721cde1c52

Observation 660f2646-74e7-4f84-a952-7e0e4e360aa8 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

Harmonia: End-to-End RAG Serving Optimization Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 37

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source=pdf_text observed=2026-08-16T04:40:04.503739Z digest=sha256:a1f071a122d15ec6a14377b2eee39f8d047a4dcbb8021c7b1eb2a8a43e4fd487

Observation 6d3e35de-7ded-40a9-8eef-b33eb6f88eb9 · outbound

This paper cites DMQR-RAG: Diverse Multi-Query Rewriting for RAG.

Harmonia: End-to-End RAG Serving Optimization DMQR-RAG: Diverse Multi-Query Rewriting for RAG

Reference 38

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source=pdf_text observed=2026-08-16T04:40:04.510602Z digest=sha256:1dd9a82061b7c93aea9d3ed5071ca350239c405123317f51f89711af3021f75f

Observation 96b30856-9e07-4731-b0df-4c7c6676e938 · outbound

This paper cites Cft-rag: An entity tree based retrieval augmented generation algorithm with cuckoo filter.

Harmonia: End-to-End RAG Serving Optimization Cft-rag: An entity tree based retrieval augmented generation algorithm with cuckoo filter

Reference 39

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source=pdf_text observed=2026-08-16T04:40:04.516531Z digest=sha256:75b0dac466fc9c7e3809d3444345ad5b392352d4cd25017c18e889ef67e80f62

Observation 1d78fbc1-f13e-4f76-9b56-b47f321e7b8b · outbound

This paper cites Lyra: A Benchmark for Turducken-Style Code Generation.

Harmonia: End-to-End RAG Serving Optimization Lyra: A Benchmark for Turducken-Style Code Generation

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:40:05.316490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.521482Z digest=sha256:0459473c529c482aeceaabe791f583f974c44821fca825a6c2162904537e9aea

Observation ad6e1feb-494d-41a6-8e98-4302eca50474 · outbound

This paper cites SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.

Harmonia: End-to-End RAG Serving Optimization SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:40:04.530104Z digest=sha256:09d7fbdbd0f241b09798efc0941266526c0b5a76f51a4bc40cd453bf06cd8409

Observation c9e38208-24c6-4f7f-9f16-d6c84ad8be77 · outbound

This paper cites TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval.

Harmonia: End-to-End RAG Serving Optimization TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.535865Z digest=sha256:9a539c332e594be19a37116f94298191ba89fd54e1b7ef1f4678dbabc8caee41

Observation 1d350887-30a9-4832-814c-7c249bc2773b · outbound

This paper cites HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation.

Harmonia: End-to-End RAG Serving Optimization HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T04:40:04.541391Z digest=sha256:9ac8ed7d50e1131a4152bef069ca74e3988a13015cac399054f1bbb7771faf04

Observation 79888576-0285-4cb8-ba30-8a1750943adb · outbound

This paper cites https://github.com/ggml-org/llama.cpp.

Harmonia: End-to-End RAG Serving Optimization https://github.com/ggml-org/llama.cpp

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.204412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.548419Z digest=sha256:0d448355d5957302f80eb406686ca9b6b47973989365bd32ad7f3cea54dcce8d

Observation a08988d7-08fb-42d4-94aa-c44923cd2916 · outbound

This paper cites Query rewriting in retrieval-augmented large language models.

Harmonia: End-to-End RAG Serving Optimization Query rewriting in retrieval-augmented large language models

Reference 45

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no resolver link, observed 2026-08-16T04:40:04.555085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.555085Z digest=sha256:ad8a122b724a9146287dd3ebb9bd08d588ae350a5524708bd68f22a98f14fa44

Observation 07154bd2-33a6-4511-b758-219cc2c05447 · outbound

This paper cites Luminirag: Vision-enhanced graph rag for complex multi-modal document understanding.

Harmonia: End-to-End RAG Serving Optimization Luminirag: Vision-enhanced graph rag for complex multi-modal document understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.173894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.560428Z digest=sha256:851c2d8bb5cbb126648536cb955a9f951cafb2120daa88a734acb87e0234ba89

Observation bee64b80-c58e-449c-91a5-cdef69b47ff3 · outbound

This paper cites Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow.

Harmonia: End-to-End RAG Serving Optimization Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 47

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no resolver link, observed 2026-08-16T04:40:04.566083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.566083Z digest=sha256:d2e8a31e47d4d63dd34c35049c53a6d3f904561baf0760ad82d748069d8399a1

Observation 44bd4015-5e3a-4056-9413-f562359e5fc3 · outbound

This paper cites Mllib: Machine learning in apache spark.

Harmonia: End-to-End RAG Serving Optimization Mllib: Machine learning in apache spark

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.156742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.574324Z digest=sha256:a61d243cc61ccb18e1b76537eccdff7c8b0e110d06f2c919ffbd7c0dcfe7eb3b

Observation 6173bb5b-dead-4e18-ac3f-77a16766373f · outbound

This paper cites Sosecure: Safer code generation with rag and stackoverflow discussions.

Harmonia: End-to-End RAG Serving Optimization Sosecure: Safer code generation with rag and stackoverflow discussions

Reference 49

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no resolver link, observed 2026-08-16T04:40:04.580156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.580156Z digest=sha256:e89215c3e107a7ce8583cfb1f16920ce1711e28e1098e1db0bdc794f22d69b8a

Observation d5c2e7f5-9762-40d5-a8fa-4a69151d6750 · outbound

This paper cites {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads.

Harmonia: End-to-End RAG Serving Optimization {Heterogeneity-Aware} cluster scheduling policies for deep learning workloads

Reference 50

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no resolver link, observed 2026-08-16T04:40:04.585672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.585672Z digest=sha256:90db9e9abf55090c691f7520795e2189ad51deec92343953b868ee639df6a4a6

Observation 4060c2d9-12ea-42ad-9270-882ec6f50c45 · outbound

This paper cites W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.

Harmonia: End-to-End RAG Serving Optimization W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering

Reference 51

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no resolver link, observed 2026-08-16T04:40:04.590425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.590425Z digest=sha256:837214638437872ecbefb036d10c7f6f5b3ccdc1af2331f2b56169298493e71d

Observation 2f32610f-6597-48bc-a4ae-50505ff32eea · outbound

This paper cites Aladdin: Joint Placement and Scaling for SLO-Aware LLM Serving.

Harmonia: End-to-End RAG Serving Optimization Aladdin: Joint Placement and Scaling for SLO-Aware LLM Serving

Reference 52

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no resolver link, observed 2026-08-16T04:40:04.595609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.595609Z digest=sha256:29c82929b8b5454022a7e2129ad437be3d7c3cf2ae796606267a26d89180a621

Observation 1fd35576-d9d3-4e2a-b9e4-a4b2b763d2d8 · outbound

This paper cites Fastertransformer.

Harmonia: End-to-End RAG Serving Optimization Fastertransformer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.122359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.600724Z digest=sha256:e49f6a30c04096e39dda958df5fe149436f8c2ae1798d6df0e5feab472e6fca5

Observation e1a2a7a0-8589-4c17-95b9-0d7a3176f93c · outbound

This paper cites https://github.com/digithree/ollama-rag.

Harmonia: End-to-End RAG Serving Optimization https://github.com/digithree/ollama-rag

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.102901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.606682Z digest=sha256:d1db68c42f4548374f32a14d0c5775afdfd9caf5865680ab89dddf2b8441631c

Observation 5be3f135-7410-4c98-9307-5549ffe3273d · outbound

This paper cites Automatic differentiation in pytorch.

Harmonia: End-to-End RAG Serving Optimization Automatic differentiation in pytorch

Reference 55

Resolution
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no resolver link, observed 2026-08-16T04:40:04.613290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.613290Z digest=sha256:762cb1e1aabc5e71051ff9258afd86e7b2dacb4e52485cb5b5c90631056a95f1

Observation 8e29e67f-5e8e-49fe-a5e1-7f2324d7e14b · outbound

This paper cites https://peps.

Harmonia: End-to-End RAG Serving Optimization https://peps

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.062588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.618869Z digest=sha256:4d5644359f351a748306d341c1fbcb94c95829733ee80e8393f37d5a40f3ed51

Observation 121fba99-3797-47db-8605-b6396e9c6612 · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

Harmonia: End-to-End RAG Serving Optimization LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 57

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no resolver link, observed 2026-08-16T04:40:04.624736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.624736Z digest=sha256:b6b59f119af3d77eec8df018cb867bd05e79197cb8e18262b3a83c0acd47c5d7

Observation c8ef819c-5c5c-42dd-94a0-96ba64d635f6 · outbound

This paper cites MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.

Harmonia: End-to-End RAG Serving Optimization MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 58

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no resolver link, observed 2026-08-16T04:40:04.630238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.630238Z digest=sha256:2319cd9df19ee56d1855055fb001cdd689e0545fdf5ad363a1e27bef459a083f

Observation 12894818-0487-4539-9a45-3ecee558c121 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Harmonia: End-to-End RAG Serving Optimization SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 59

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no resolver link, observed 2026-08-16T04:40:04.635383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.635383Z digest=sha256:b7fb4834333874d6a1343614a9fe537f4042fec07f6e99d7f29a86974a15ab30

Observation f5f08244-6cb2-4cc1-adad-ec42e846a3b7 · outbound

This paper cites Ragserve: Fast quality- aware rag systems with configuration adaptation.

Harmonia: End-to-End RAG Serving Optimization Ragserve: Fast quality- aware rag systems with configuration adaptation

Reference 60

Resolution
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no resolver link, observed 2026-08-16T04:40:04.639855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.639855Z digest=sha256:e56889860516078c71c8fb05410d6075ea0a98e701fa319a1b075009a2463921

Observation b5dcc81c-04b3-4bc1-9c90-ef2bb393d265 · outbound

This paper cites {INFaaS}: Automated model-less inference serving.

Harmonia: End-to-End RAG Serving Optimization {INFaaS}: Automated model-less inference serving

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.040475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.644844Z digest=sha256:a72c521912430f13463dd8533f1118cbba467a15bde6eaf82decd700e31405e8

Observation 26876c39-44b5-4837-b6be-d09ef05a4c35 · outbound

This paper cites Scaling retrieval-based language models with a trillion-token datastore.

Harmonia: End-to-End RAG Serving Optimization Scaling retrieval-based language models with a trillion-token datastore

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:06.018728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.649163Z digest=sha256:facff6832c44c1874690c88bec63192958409d05e2ede75ee22137eaaf52d791

Observation bf8dbfce-5e62-4106-9579-b16deb876ec1 · outbound

This paper cites Nexus: A gpu cluster engine for accelerating dnn-based video analysis.

Harmonia: End-to-End RAG Serving Optimization Nexus: A gpu cluster engine for accelerating dnn-based video analysis

Reference 63

Resolution
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raw_fallback, observed 2026-08-16T04:40:05.997795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.653886Z digest=sha256:58d1b6ff915288e49991504f7d4bd5efd4d0a33455f9d14f35e36ebdc85f55b7

Observation 7913936e-f91e-45a8-89b6-ae3c5226b420 · outbound

This paper cites Flexgen: high-throughput generative inference of large language mod- els with a single gpu.

Harmonia: End-to-End RAG Serving Optimization Flexgen: high-throughput generative inference of large language mod- els with a single gpu

Reference 64

Resolution
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raw_fallback, observed 2026-08-16T04:40:05.979042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.659559Z digest=sha256:18d398c48a772213f9a2da425a7abd3ccdd5a1a5512e0854adbbd765b5fa8fb5

Observation 586e5631-77df-49f0-819c-fd81d9e1ab15 · outbound

This paper cites Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems.

Harmonia: End-to-End RAG Serving Optimization Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems

Reference 65

Resolution
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no resolver link, observed 2026-08-16T04:40:04.664531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.664531Z digest=sha256:18de4081890715acf17743515313ffd386e705d0d687eda770e7183516a96fd5

Observation c00f0ed5-62b8-462c-aff0-d3ca2e617aee · outbound

This paper cites ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems.

Harmonia: End-to-End RAG Serving Optimization ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 66

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no resolver link, observed 2026-08-16T04:40:04.670737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.670737Z digest=sha256:99d10964a77a4b806fea00c550122bddd1f989b2f9ce854634c2e31454ef55af

Observation 95aa3256-f70e-4aea-a9b0-08f7e75a74fa · outbound

This paper cites The hippocampal memory indexing theory.

Harmonia: End-to-End RAG Serving Optimization The hippocampal memory indexing theory

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:05.958418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.676078Z digest=sha256:d7d1fa29e29ee1bd34d6146fe7f3e211c3a9d2e71e04e361605f7b40199ae5d7

Observation 7ccea840-e13a-4ad4-ab27-4a4c6cf51729 · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

Harmonia: End-to-End RAG Serving Optimization Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 68

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no resolver link, observed 2026-08-16T04:40:04.682085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.682085Z digest=sha256:b68e023c26d7720a3a789d115f8801b4fa7ea9d37f370d891d5a15480cbdd2dc

Observation f3b41878-2820-46fa-803b-f8fbc093b328 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions, 2023.

Harmonia: End-to-End RAG Serving Optimization Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions, 2023

Reference 69

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no resolver link, observed 2026-08-16T04:40:04.687906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.687906Z digest=sha256:98c5acca94ebf763ca873bcaa529a42c1f09f1b86f4f5136007b2538939c000b

Observation 4b6c6681-c458-4aef-9c09-b5bdbbab70b2 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

Harmonia: End-to-End RAG Serving Optimization Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:05.922090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.692677Z digest=sha256:545401f8ceca021a4715c23a8ae3b9b8904cc6f8c71fcd2682cf892fb1fea16a

Observation 0a3f5792-bb55-4e1a-97ac-7a440cf04e6e · outbound

This paper cites InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Harmonia: End-to-End RAG Serving Optimization InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 71

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unresolved
no resolver link, observed 2026-08-16T04:40:04.697480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.697480Z digest=sha256:438ae828893ce9a910cfc3858b07df53a9153e211abf1eacc0757997366e0437

Observation 4085768a-b00e-4f53-bc4c-7d8cc79a94b5 · outbound

This paper cites RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation.

Harmonia: End-to-End RAG Serving Optimization RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation

Reference 72

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unresolved
no resolver link, observed 2026-08-16T04:40:04.703888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.703888Z digest=sha256:4b3d56b5a9aa4aa3c500e550bafb69fcb1f3daef56bd5c4d28bf39dc5c48e1e6

Observation fef123b6-cd79-4b57-9140-01a1cfeb7e20 · outbound

This paper cites Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

Harmonia: End-to-End RAG Serving Optimization Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b24e9d14-8ae8-4b3d-9a6d-dcb1e882d17e · outbound

This paper cites Chain-of-thought prompt- ing elicits reasoning in large language models.

Harmonia: End-to-End RAG Serving Optimization Chain-of-thought prompt- ing elicits reasoning in large language models

Reference 74

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Observation b6b493bd-43a4-4b37-a10d-b931e883f563 · outbound

This paper cites https://www.octomind.dev/blog/why-we-no-longer-use-langchain- for-building-our-ai-agents.

Harmonia: End-to-End RAG Serving Optimization https://www.octomind.dev/blog/why-we-no-longer-use-langchain- for-building-our-ai-agents

Reference 75

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4f593372-3444-45af-9ecf-0cd66f95130f · outbound

This paper cites Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation.

Harmonia: End-to-End RAG Serving Optimization Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 76

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Source-reported events for the cited work

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Observation a7069e26-3cc5-4821-9209-fac8701df47c · outbound

This paper cites Irina: Accelerating dnn inference with efficient online scheduling.

Harmonia: End-to-End RAG Serving Optimization Irina: Accelerating dnn inference with efficient online scheduling

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6f07dd24-355b-41cc-a205-72e32949675d · outbound

This paper cites Tkg-rag: A retrieval-augmented generation framework with text-chunk knowl- edge graph.

Harmonia: End-to-End RAG Serving Optimization Tkg-rag: A retrieval-augmented generation framework with text-chunk knowl- edge graph

Reference 78

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 86a5eb53-5083-456e-8345-e9e0d5ab926c · outbound

This paper cites Corrective retrieval augmented generation.

Harmonia: End-to-End RAG Serving Optimization Corrective retrieval augmented generation

Reference 79

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d4d4ae7-0004-48d6-bd42-dc9f9453d793 · outbound

This paper cites Wikiqa: A challenge dataset for open-domain question answering.

Harmonia: End-to-End RAG Serving Optimization Wikiqa: A challenge dataset for open-domain question answering

Reference 80

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9d037070-347f-4c0e-8371-c9ed2de37c99 · outbound

This paper cites Orca: A distributed serving system for {Transformer-Based} generative models.

Harmonia: End-to-End RAG Serving Optimization Orca: A distributed serving system for {Transformer-Based} generative models

Reference 81

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Source-reported events for the cited work

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Observation 13b691b4-b7fe-433a-a9ec-78322086479e · outbound

This paper cites Spark: Cluster computing with working sets.

Harmonia: End-to-End RAG Serving Optimization Spark: Cluster computing with working sets

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-16T04:40:05.767757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation be04f45a-85c2-466b-9016-0530ae977b42 · outbound

This paper cites SHEP- HERD: Serving DNNs in the wild.

Harmonia: End-to-End RAG Serving Optimization SHEP- HERD: Serving DNNs in the wild

Reference 83

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Source-reported events for the cited work

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Observation 95211b6e-e774-48d8-950a-45cf07a5c0b0 · outbound

This paper cites Raft: Adapting language model to domain specific rag.

Harmonia: End-to-End RAG Serving Optimization Raft: Adapting language model to domain specific rag

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:40:05.738737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:40:04.773687Z digest=sha256:07b251d22e16ff7fa6937644188634d7d095b3fb4fa54b4cca9b2af2b37b2143

Observation 3eb1b92f-2684-4ab2-b336-74e35daf7844 · outbound

This paper cites Accelerating Retrieval-Augmented Language Model Serving with Speculation.

Harmonia: End-to-End RAG Serving Optimization Accelerating Retrieval-Augmented Language Model Serving with Speculation

Reference 85

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source=pdf_text observed=2026-08-16T04:40:04.778794Z digest=sha256:75e417c7e32fba8d3d70be18267c2c935d064b933c618031bfbfa1663a58ef79

Observation f00736cd-e37e-4693-ab4d-b4ac076adb03 · outbound

This paper cites P Xing, Joseph E.

Harmonia: End-to-End RAG Serving Optimization P Xing, Joseph E

Reference 86

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source=pdf_text observed=2026-08-16T04:40:04.783073Z digest=sha256:67bb9cc6331c770e80496159fd2c430d574846d622ad655d5970aa432a51dc9c

Observation bbb470d0-071a-476c-8b8f-3ca5ca5439a8 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Harmonia: End-to-End RAG Serving Optimization Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 87

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.787699Z digest=sha256:efaeef6cd49d8addd65cf3727487232fcd5871563c6a1ac3a54adf3c72b1022e

Observation 56f05b62-1e93-404a-9887-ca55bb14af4c · outbound

This paper cites an unresolved cited work.

Harmonia: End-to-End RAG Serving Optimization Unresolved cited work

Reference 2020

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source=pdf_text observed=2026-08-16T04:40:04.736089Z digest=sha256:6551d1cda854d37874be95871b18fe1ab32c18c7840f34b295027a3bfe069daf

Observation 5dd7fb93-433b-4543-aa06-51771e9919f2 · outbound

This paper cites an unresolved cited work.

Harmonia: End-to-End RAG Serving Optimization Unresolved cited work

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:04.452536Z digest=sha256:7d030356d60bc113c917595fc5bf0bf88fa87b9ce44dc847921f9f66aa4ed067

Pith citing papers

No inbound Pith citation observations are available.