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Paper Citation Record · LEDGER

Unsupervised Query Routing for Retrieval Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2501.07793.

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

pith.paper-citation-record.v1
2501.07793 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:24.656530Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:47:06.006371Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c428b437-5410-42b5-bdbd-cd65cfca8680 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Unsupervised Query Routing for Retrieval Augmented Generation LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.598741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.598741Z digest=sha256:eae04bb1f394a8fdf250ac83634fcab08d367d3c0881a83a2ad02ea13d5bbf8f

Observation a06c8dda-35f4-48aa-a2ab-bdd318579d28 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Unsupervised Query Routing for Retrieval Augmented Generation Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.604160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.604160Z digest=sha256:ae17281d943c9d94831b45c15d763638e273040b596b0e2d0141f9ae88fb95c1

Observation 172152f7-197c-40ad-940c-c6b6110ecd22 · outbound

This paper cites OptLLM: Optimal Assignment of Queries to Large Language Models.

Unsupervised Query Routing for Retrieval Augmented Generation OptLLM: Optimal Assignment of Queries to Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.609293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.609293Z digest=sha256:ceeca740fd915f3dfe53cd1666a434c63fc3165fba4e57a329448f79e956584e

Observation 7b5a381e-a7cc-4c01-8216-a741e5be06f6 · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Unsupervised Query Routing for Retrieval Augmented Generation Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.614688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.614688Z digest=sha256:728e898208c5b7c9bd94bf9f5d7a7944858cd6ed09b5785000f2cae2127d6208

Observation acbcdc6e-0669-4628-ad54-9917be890090 · outbound

This paper cites Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario.

Unsupervised Query Routing for Retrieval Augmented Generation Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.619277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.619277Z digest=sha256:0a8ccd5124428e428d355c5201704afc4d0d714a9254c43902d4d724813e9ff6

Observation a205ab19-0650-448a-b0f8-d2760474014f · outbound

This paper cites GPT-4 Technical Report.

Unsupervised Query Routing for Retrieval Augmented Generation GPT-4 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.624118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.624118Z digest=sha256:7213ee5cbbee850796626c6b49d3f5f9797a429667751552b273c7550560cdc2

Observation e839877a-f8a3-476a-a0dc-d6b5d7c059c1 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Unsupervised Query Routing for Retrieval Augmented Generation Large Language Model Routing with Benchmark Datasets

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.633361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.633361Z digest=sha256:fbf3a6e71392f815b39e010321fdd7894cff76e6b72432bff2f9c2efa9dc70f0

Observation a6e5ef61-90d9-4bc0-b97b-ea6c5990f004 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Unsupervised Query Routing for Retrieval Augmented Generation Sequence to Sequence Learning with Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.638102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.638102Z digest=sha256:390b5e82d4d58504f36653b1370d55406ed55ea3f536a2c552e6f5545c4804c6

Observation ff236ec8-a455-4eee-ab04-2d833e152c6c · outbound

This paper cites ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search.

Unsupervised Query Routing for Retrieval Augmented Generation ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.642904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.642904Z digest=sha256:69d9d040b2738bda93d4aa342d6dcdc5192137c7034fe4bca679a7d0452513a6

Observation 789b1871-2765-4793-881e-421e2c0ef0e8 · outbound

This paper cites Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark.

Unsupervised Query Routing for Retrieval Augmented Generation Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.647507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.647507Z digest=sha256:e15cef18e8d57ae5479fe649ad72d8cfe3321cfe6c9325baf5e93b94ded0fe95

Observation f2326b8f-10e3-4f5c-88de-5f10071c1b74 · outbound

This paper cites Qwen2 Technical Report.

Unsupervised Query Routing for Retrieval Augmented Generation Qwen2 Technical Report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.652215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.652215Z digest=sha256:7bb742d97afa3acd498b0cea10e62e0bdf49427583a28d1d115a767927024eed

Observation 713a01ad-205e-4177-8e68-bc7c08364bb6 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Unsupervised Query Routing for Retrieval Augmented Generation BERTScore: Evaluating Text Generation with BERT

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.656530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.656530Z digest=sha256:eb9b147673db22818f5ec43d10273db83544c96c12a16973efecec26066682c7

Observation 86868958-4710-4d1c-912f-e16ffe347956 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Unsupervised Query Routing for Retrieval Augmented Generation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.576919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.576919Z digest=sha256:f539c7b3850f9d52f9e19da3dac26a9dd4a42624e43eb59c690bda9b29356081

Observation fb5bafe5-481a-4f8e-8134-7f9dfe744367 · outbound

This paper cites Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.

Unsupervised Query Routing for Retrieval Augmented Generation Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T20:40:24.911349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T20:40:24.583076Z digest=sha256:c89d3e89d79d0533a751458473bde0a3fee0e5a4abb30823d73a1fd53eb52333

Observation a81c0f6f-a350-4756-bf74-f2a896858966 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Unsupervised Query Routing for Retrieval Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.593777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.593777Z digest=sha256:60123792d2ed7201c886a02eb458ff5123a057eb553c0f1fd679a7ad901ce623

Observation 4b168ec6-cdb2-4805-9458-91c8e312c4a6 · outbound

This paper cites The Llama 3 Herd of Models.

Unsupervised Query Routing for Retrieval Augmented Generation The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:24.588455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.588455Z digest=sha256:c6dcf0c20bb394a9f378d7c2ab080b751fbeeaffbb9c452582ec68eebe68feb3

Pith citing papers

Observation 6369dc63-9656-481d-b9ff-d8bc01428622 · inbound

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach cites this paper.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unsupervised Query Routing for Retrieval Augmented Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T01:47:06.006371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:47:06.006371Z digest=sha256:544da2414c784d190d9514f50a304ddb594e7aae5aedbed593aebdf113cecd07