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Paper Citation Record · LEDGER

Small Models are Valuable Plug-ins for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.08848.

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

pith.paper-citation-record.v1
2305.08848 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:07.631061Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:06:50.578605Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b7ac0204-d0ff-4dce-a4bb-e06d7a34dc26 · inbound

Towards Sustainable Large Language Model Serving cites this paper.

Towards Sustainable Large Language Model Serving Small Models are Valuable Plug-ins for Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:59:41.624539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:59:41.624539Z digest=sha256:1459246ac63cc0107fb6e8298bc2bb9d1b3c29c4dde18919655102a0de4d3c9f

Observation 6e101de4-bf42-49fa-a8b2-d4dec4bc01de · inbound

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News cites this paper.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Small Models are Valuable Plug-ins for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.631061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.631061Z digest=sha256:4732963b022e17b8a6b47ad238334e9f9953ebff78b66c28a824c6fb0cafc6f1

Observation 8846d575-b719-4c45-9e40-8f50f97c2b97 · inbound

Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration cites this paper.

Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration Small Models are Valuable Plug-ins for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:36:57.266289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:36:57.266289Z digest=sha256:ac4d7caa8f662286979b97b8fb25a7c730813dc6cc7e34e397a80cc4c5c145a4

Observation 8a7fea0e-f47b-44c8-9dd7-9e5fbc10a07f · inbound

Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager cites this paper.

Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager Small Models are Valuable Plug-ins for Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T18:35:12.607774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:35:12.607774Z digest=sha256:cc05d929cde49905ba0c79f7e7942fcf01b0f0a97c70a5039ca07d0379ec163f

Observation c05523b3-74b1-4640-a6ce-1914b3c15716 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges Small Models are Valuable Plug-ins for Large Language Models

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:06:50.582913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T15:06:48.039819Z digest=sha256:6f5f685c60b31552f1decc0b468b58ef444f42bbafe507f9681becc131f89277