Pith. sign in

Paper Citation Record · LEDGER

The Appeal and Reality of Recycling LoRAs with Adaptive Merging

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2602.12323.

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

pith.paper-citation-record.v1
2602.12323 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:56:46.593319Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e8a2391-ff5b-4b09-984e-09145c5fe35d · outbound

This paper cites QASC: A Dataset for Question Answering via Sentence Composition.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging QASC: A Dataset for Question Answering via Sentence Composition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.953025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.953025Z digest=sha256:27117a1c18a2312abdb57d126c56bde40608eea3242db87e5d4ccea26e568577

Observation 716306fd-f4c7-472f-af70-89d55d15b4df · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.047977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.047977Z digest=sha256:76162aeb979aae439468919758e9161322408faaece3666a06b5c10f32b25cbb

Observation d99e15b1-a8c4-46a3-8742-10f86d6441ae · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.265345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.265345Z digest=sha256:ee7778b0196d7a53e0f613640016b678b63fdb4a3864d70ddc14a7ca7920dd70

Observation 0c844ddc-e291-4a8d-84eb-c97bb5c92df7 · outbound

This paper cites org/CorpusID:271859936.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging org/CorpusID:271859936

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.342294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.342294Z digest=sha256:96f6b53684003cc5dfe6cce70181c7dabf41d970dff6717c51fcd2c396681115

Observation ae7eec79-7269-4b61-abd5-f344ce4da5a5 · outbound

This paper cites org/CorpusID:263620126.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging org/CorpusID:263620126

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.480420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.480420Z digest=sha256:d1fa1ccd1cef0e0fd2573c168b33cf73237c71722db94518facc73a0c251d072

Observation 5f7fcd45-b0cd-47c5-9828-b9f7ccbd8ce2 · outbound

This paper cites org/CorpusID:282912578.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging org/CorpusID:282912578

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.535826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.535826Z digest=sha256:8bb60932080318ee199f23a1bfaa644aef4031846a357483006f8890c94cfe50

Observation 539687b6-df48-4522-9275-4b9f14f0d66d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.576995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.576995Z digest=sha256:6d13211be14efc6603104b81da6aa78d55efbdee8ee753bc56ec1a4df42ec9e6

Observation 5caa63fd-7685-45fe-9f99-320e6b42048e · outbound

This paper cites cryptonews_articles.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging cryptonews_articles

Reference 2017

Resolution
malformed identifier
no resolver link, observed 2026-08-02T23:56:46.593319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.593319Z digest=sha256:19bcf62adbcceb5acd6dc1828d5fa3d6e7116470ef68878a8f5dfaece9b6e133

Observation 3a71b4cd-936c-49df-b4a4-f258b8032d75 · outbound

This paper cites org/CorpusID:220045835.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging org/CorpusID:220045835

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.217163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.217163Z digest=sha256:2153d60e31fee042815be922ba558547afc08f5894d2062e9174e152d2b702ef

Observation bbdda387-41de-4866-ad85-0dffab0acdb4 · outbound

This paper cites Automatically Identifying Complaints in Social Media.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Automatically Identifying Complaints in Social Media

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.154480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.154480Z digest=sha256:c0fc2fd688df18f714378c830e774490013259479a2a24f02ab0eff39cbb5fc8

Observation 4efc2eff-4385-40ef-bbe0-e4df5c32c408 · outbound

This paper cites org/CorpusID:254408495.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging org/CorpusID:254408495

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.862893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.862893Z digest=sha256:dcf5a446231658ecb0537a4427cd3c226df3b76010988f603ba3931ba24dc8c7

Observation 62f4ea00-4757-4dd2-a6f2-13faa7f0a9e4 · outbound

This paper cites We Should Chart an Atlas of All the World's Models.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging We Should Chart an Atlas of All the World's Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.737534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.737534Z digest=sha256:f063e4997907dd4e0c11550fdda596bc5319759f0811baa78b7f0e38583af504

Observation 68820ed4-64f7-4c25-9af3-2541eba62b2d · outbound

This paper cites The Llama 3 Herd of Models.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.633564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.633564Z digest=sha256:14e79a3ada255c340541e477195834ca124dbf91818c2d5d0db2e609daa0164f

Observation 5e3cbcc5-074e-484f-b140-49689d8f5f3c · outbound

This paper cites Fusing finetuned models for better pretraining.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Fusing finetuned models for better pretraining

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.528223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.528223Z digest=sha256:33b7c499976a21ba95e0d2a0a7c2a6a57de0bc8581ec46bb710872de96b57a02

Observation a30ce0bc-e422-4006-962c-38d6032f7598 · outbound

This paper cites Liger Kernel: Efficient Triton Kernels for LLM Training.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2799

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:45.815145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:45.815145Z digest=sha256:b81209956735ff7cc0634b717b7ce2d57e3a6cf768a13bf317988448ec510cf8

Observation 0dd012e6-52f7-43bf-a622-7fb7f83af7f2 · outbound

This paper cites Qwen3 Technical Report.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Qwen3 Technical Report

Reference 8856

Resolution
unresolved
no resolver link, observed 2026-08-02T23:56:46.425735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:56:46.425735Z digest=sha256:29e304a385d4b2f9b28e5f74aba7f79556546d108786ad5768f9294f9173bfc2

Pith citing papers

No inbound Pith citation observations are available.