Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.15042.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:57.019935Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T00:13:39.576795Z
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 ed3da8b7-f9f7-4dc8-a8b0-098b0376dbf7 · inbound
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.
Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:13:39.578990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 61b7c923-fe2c-42fa-bd7d-e3f90d05b042 · inbound
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T21:20:59.297822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a4a33c61-f260-45b8-98d4-9c90e8274378 · inbound
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks cites this paper.
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:32:18.585427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e299df04-d83b-4c58-90d7-55ef0938ebad · inbound
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.019935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab556506-7830-4840-b8c4-a0e799bb4326 · inbound
Separation Logic of Generic Resources via Sheafeology cites this paper.
Separation Logic of Generic Resources via Sheafeology LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:22:29.567680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.