Paper Citation Record · LEDGER

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2109.05687.

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

pith.paper-citation-record.v1
2109.05687 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:16.622932Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:24.587411Z

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 5a08a2a7-a305-4996-b01a-3ec9c3aa69e9 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.918486Z

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 6ed7585e-c8b0-45b2-b324-b47400a2c4e1 · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:13:24.590916Z

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 98375c99-8f46-4302-bc8e-676094bc1b9f · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T17:33:16.622932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02449eea-ae94-44cf-87e1-6bbf2c84d6b1 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:14.819869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cdc89c-0677-4228-96e7-0a0deceeb128 · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T20:20:35.816834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2c9873-38e7-45b9-aaf6-e8dc09ebe146 · inbound

Vision Transformer Finetuning Benefits from Non-Smooth Components cites this paper.

Vision Transformer Finetuning Benefits from Non-Smooth Components Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T03:48:09.569905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2177b909-a4b4-4057-8ff7-9cd25399783e · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.409186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.