Paper Citation Record · LEDGER

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.15042.

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

pith.paper-citation-record.v1
2403.15042 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:56:46.753841Z

measured 0 of 1 external citation measurements

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 2026-08-20T06:33:59.587034+00:00.

Observation 4287b8ca-abc1-4e1e-a669-c3fad0eb889c · inbound

On Domain-Adaptive Post-Training for Multimodal Large Language Models cites this paper.

On Domain-Adaptive Post-Training for Multimodal Large Language Models LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:46.753841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8496bf9-8727-4f3b-9ffd-a9ca683cb9d4 · inbound

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel cites this paper.

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:38.526308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a0d628-971f-4289-b7bb-c789b6e20920 · inbound

Language Models as Continuous Self-Evolving Data Engineers cites this paper.

Language Models as Continuous Self-Evolving Data Engineers LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:40:52.489392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d4abf3-4a7f-4b46-a4b2-07ccf9c00379 · inbound

Error-driven Data-efficient Large Multimodal Model Tuning cites this paper.

Error-driven Data-efficient Large Multimodal Model Tuning LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T11:18:31.875753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d951ddfa-527d-4ce8-8846-27fb68461697 · inbound

Aligning Instruction Tuning with Pre-training cites this paper.

Aligning Instruction Tuning with Pre-training LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:10:34.841074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.

Observation 901743e6-8a10-42da-972d-aa25d5b81dc4 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:37.824508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+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.