Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Boosted Prompt Ensembles for Large Language Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.05970.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:56:50.490826Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T08:41:17.163186Z
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 047c6e01-d63e-49c1-9267-ea2ffa0baf3e · inbound
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models cites this paper.
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models Boosted Prompt Ensembles for Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:56:50.490826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5ceb1d3-fed3-4542-a26e-2cd07ee2b8d1 · inbound
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Boosted Prompt Ensembles for Large Language Models
Reference 103
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T15:51:29.382787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e91e97fd-03fa-49f6-924d-7e2b461390b5 · inbound
Ensembles of Low-Rank Expert Adapters cites this paper.
Ensembles of Low-Rank Expert Adapters Boosted Prompt Ensembles for Large Language Models
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:29:52.617739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fc28606-b5f3-4615-ad81-40684a522bc1 · inbound
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring cites this paper.
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring Boosted Prompt Ensembles for Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:45.532078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation daf48e1e-f8b8-455b-8263-f43da18f89bc · inbound
Visual Instance-aware Prompt Tuning cites this paper.
Visual Instance-aware Prompt Tuning Boosted Prompt Ensembles for Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:35.459479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091db752-d028-43e9-b77e-7428591e6df3 · inbound
PENEX: AdaBoost-Inspired Neural Network Regularization cites this paper.
PENEX: AdaBoost-Inspired Neural Network Regularization Boosted Prompt Ensembles for Large Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:22:33.361799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cd04e22e-295c-4c6d-bd1a-d20d98374507 · inbound
Residual Skill Optimization for Text-to-SQL Ensembles cites this paper.
Residual Skill Optimization for Text-to-SQL Ensembles Boosted Prompt Ensembles for Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:41:17.165582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a5189fa9-de82-426c-b5a5-1f981d3d423f · inbound
Data-Efficient Adaptation of LLMs via Attention Head Reweighting cites this paper.
Data-Efficient Adaptation of LLMs via Attention Head Reweighting Boosted Prompt Ensembles for Large Language Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:16:36.968561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.