Paper Citation Record · LEDGER

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.00030.

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

pith.paper-citation-record.v1
2608.00030 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:47:07.368333Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84d7ea81-c540-4a2b-b6f6-7041899f4e16 · outbound

This paper cites Query Understanding in the Age of Large Language Models.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Query Understanding in the Age of Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:04.667006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c428a47-8f82-42bf-977f-e2fd81cabda1 · outbound

This paper cites Small Language Models are the Future of Agentic AI.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Small Language Models are the Future of Agentic AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:04.816033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568ca4db-ee97-4e0b-849d-4bf7c2441de9 · outbound

This paper cites Broder, Marcus Fontoura, Evgeniy Gabrilovich, Amruta Joshi, Vanja Josifovski, and Tong Zhang.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Broder, Marcus Fontoura, Evgeniy Gabrilovich, Amruta Joshi, Vanja Josifovski, and Tong Zhang

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:04.917052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ff3da1-17e1-4f4f-8a89-6ab70b8504d5 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:04.978873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0eded6-07d6-4520-8287-2f4d5031047b · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.041912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec712e5-d7e0-4a2a-a131-e2f5ae673d3f · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.161276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d5da7f4-60b0-445d-b150-542749e5d9a2 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.290105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4167787f-eb90-453f-86ea-271275a01dc0 · outbound

This paper cites Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.357916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1901da-cf11-4cba-9206-7e4b1dc29e0f · outbound

This paper cites BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.422162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bdcbb89-4ab5-40b4-a29a-d9886aa44c2b · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.477346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05e17e1-22ca-4892-b525-0cb832406e0b · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.635843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ea4b2e-6072-49b4-8327-739ae8376442 · outbound

This paper cites LTRR: Learning To Rank Retrievers for LLMs.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach LTRR: Learning To Rank Retrievers for LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.692892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20891b2e-6ec9-4627-b6bb-e4cfd5fa0d4c · outbound

This paper cites Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.758277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91fa108a-a902-46bc-9169-90d53b2fe3ea · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.818465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f2233be-a68c-4e42-8769-18abcb4754aa · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.890384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Unsupervised Query Routing for Retrieval Augmented Generation.

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.

Observation f9523861-e594-4d14-bd89-9a9c9df4c2e8 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.125033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd7941b-501e-461b-b80f-ace7e90cb472 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.190305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6153d1c9-0cff-4b9f-ae3d-6e93d9fc4015 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.283735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de35d113-0d5d-4101-85fb-c45ad8328c0b · outbound

This paper cites Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026).

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.347770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7161bd2-9cf3-4c28-8447-1b6a994db6f2 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.489295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c952776e-10c2-463f-a0c0-d7baf806f1ce · outbound

This paper cites FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.575966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afa0641-5fbf-40da-bacf-98bbea75718f · outbound

This paper cites IR2: Information Regularization for Information Retrieval.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach IR2: Information Regularization for Information Retrieval

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.653088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ca63376-0a8d-437b-8ca5-62023bb08de7 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:06.779243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829ac22a-ca31-46aa-8fcd-64e0ac3ade9a · outbound

This paper cites A Theoretical Analysis of NDCG Type Ranking Measures.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach A Theoretical Analysis of NDCG Type Ranking Measures

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:07.012322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8eb2883-164b-4563-af06-d99077909789 · outbound

This paper cites Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:07.116263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1d23ee-b30b-4dae-9ad8-8aca0ceb1f63 · outbound

This paper cites an unresolved cited work.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:07.231307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1005f142-69bb-40aa-91db-d0f16ba8b618 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:07.368333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7823c70-5430-448f-a01a-1fd9126100f8 · outbound

This paper cites Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering.

SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T01:47:05.229375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.