Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.01722.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:12:48.673583Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:09:28.884922Z
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 81a7edd7-b860-4eee-88c8-86b7d3b240c1 · inbound
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 108
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:10:53.939824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b57b6951-8d90-4f3c-94ea-ec5fb8b2e330 · inbound
From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies cites this paper.
From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:14:51.967500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41eb2d87-cd1e-4fe3-a52e-c1744217a93c · inbound
ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers cites this paper.
ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:12:48.673583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e4cd5a1-43e0-4c78-9d6e-7bfbefa58ee6 · inbound
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance cites this paper.
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:22:48.233252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc6e08ff-a687-433f-ba27-895d8c430f65 · inbound
Deep Research Agents: A Systematic Examination And Roadmap cites this paper.
Deep Research Agents: A Systematic Examination And Roadmap Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 133
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:26:57.012419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e57b3c-118a-489a-9c57-1cdfb721107a · inbound
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:34:46.856881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3840225a-e185-447c-8e7e-3466c0a981a4 · inbound
BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases cites this paper.
BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:09:28.887205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 00996242-e823-477e-870d-1e93aee5a5b1 · inbound
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T08:55:34.890257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.