Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T02:38:11.118057Z
Paper Citation Record · LEDGER
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
As of 4 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2512.02764.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
87 of 87 outbound references displayed
- verified exact35
- verified fuzzy2
- unresolved47
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5d54b2b9-12ef-4bb9-88ca-7c5b5f88cdee · outbound
This paper cites online" 'onlinestring :=.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models online" 'onlinestring :=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:38:54.397297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b7e35ec7-6b1c-4407-9072-819627d98530 · outbound
This paper cites write newline.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models write newline
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T02:38:54.385977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 57ff3c45-97f2-437f-9ce8-2f3e25b14f8b · outbound
This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.811856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 685e1d07-6e23-406c-8f67-83ebdae84c42 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.389117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 390904aa-eabc-4c80-a72d-f4b028e8751e · outbound
This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models MathQA: Towards interpretable math word problem solving with operation-based formalisms
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.280299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 12f4f549-db27-48f2-8db8-c98ad9feca2b · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.406821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fea894ef-525a-4929-ac53-e56ca5b5b9d7 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 7
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.283695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 224984ba-5d67-476c-b74a-b12c5044e762 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.410323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5dd32b7b-358c-4d09-817c-4a9ea3587565 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.382011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f5dda5de-cb3b-4e76-abe3-56e892e3af2d · outbound
This paper cites PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.816367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eb5f6ffa-b94a-4ba3-9ba8-69933966b7b1 · outbound
This paper cites B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models
Reference 11
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.287505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T23:38:06.825036+00:00.
Observation 4451d516-207c-4b5a-abf8-297450e2cbe9 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.401394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7d8b4dab-1334-47be-94cd-a16a4ea1112c · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.413054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 97f4ee3a-f543-478a-ba27-d1a7bf473f82 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.415668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation aa572a8c-f0f1-4bac-8f4d-88eddab2487a · outbound
This paper cites S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Reference 15
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.291617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 934cfd0f-2430-4218-bb89-4c1aa0da5071 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.392332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f987738f-3f79-4093-9036-1edaebbee176 · outbound
This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 17
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.295250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3964eac9-480a-43d6-863d-591754fbccb0 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Training Verifiers to Solve Math Word Problems
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.863546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0f381ebd-ab1f-424c-806c-455ae4776526 · outbound
This paper cites The pascal recognising textual entailment challenge.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models The pascal recognising textual entailment challenge
Reference 19
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.336649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0d223ce4-65b4-461f-816f-883177e1f627 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.520123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3b0285c0-e16d-4803-bb21-7dbcea189ffd · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.517229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation de70d4bc-8d86-47df-af47-c7217b5aa2ed · outbound
This paper cites LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:38:53.881392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2fe042f0-b11e-4a7d-99cf-1e5b3c8699c5 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.513852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 07ae6e2b-9e46-4840-aacc-e6b8817c3936 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.506458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b642c7a9-d031-47dd-9b64-bc73ff228d74 · outbound
This paper cites The Llama 3 Herd of Models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models The Llama 3 Herd of Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.877289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7e4a94b9-ab18-47a0-8c7e-8f0ffd60f93d · outbound
This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.836535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7c687285-30ce-4ab7-8bf3-74eab7e782cf · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.502671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f557cdc1-75ed-419d-901f-d4e70423d2ae · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.821795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 841250be-ccf3-4ce1-8acc-0bbc3a27b784 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.499899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 443ded67-947e-4106-8e1d-53e8fce9466f · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.497543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b54625d7-40f2-4972-96df-e888a3755a5e · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.495219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 79ac4f85-a9b4-49d9-bbad-22daffd7aa27 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.492741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 52d1ac17-1993-4242-a853-510ab41582d4 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.490427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 58527861-a7ef-4c99-9658-1b81fb997c5b · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.487744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 472efeed-ba91-4176-9b33-b09856667265 · outbound
This paper cites Scaling Laws for Neural Language Models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Scaling Laws for Neural Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.825376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 923a59d1-0b6d-4534-9f92-54c845df0670 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.485124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 80cd7fa4-899d-40b6-a427-a378e3a22e4c · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 37
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.302845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation da86134c-5279-4823-af1e-aaa4ac9e8217 · outbound
This paper cites URL https://aclanthology.org/2021.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models URL https://aclanthology.org/2021
Reference 38
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.317674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 525f9283-66a2-47f7-9fb6-29bca50b8a05 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.482839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fcb260da-eb37-4b0c-9469-232d480fab85 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:38:53.328465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 663fb893-c5a7-4e66-89e3-078c922c03c9 · outbound
This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 41
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.306527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4941e733-774d-4ce5-a655-9ce0ee01fe04 · outbound
This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:38:53.832766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ac8ddf13-bbc8-4fc0-89d1-39189b3a691e · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.480607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c780309b-1c2f-469b-8a6c-dca592ad2f63 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.478270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 95c73136-c8b1-4809-8628-729dc8c7503b · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.476052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 75f1dd90-4588-48c0-8295-a6fc1f934d6b · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.473796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9b9a10a1-f6c4-4497-80bf-b64317904070 · outbound
This paper cites P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
Reference 47
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.344140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c72c1d8d-7d45-49da-a4a4-095b4d1c961d · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.471495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 26c6ac6e-5993-4fe4-906c-55561dc60dc6 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.469046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6390aa01-24bb-43fd-9721-582c54ba2021 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.466540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0ee4ea28-2db8-4ddf-afd3-67b24824c76e · outbound
This paper cites Large Language Models: A Survey.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Large Language Models: A Survey
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.867421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 07274a26-d8c9-4c64-8e6d-b1ba92d453b0 · outbound
This paper cites doi:10.3115/1073083.1073135 , editor =.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models doi:10.3115/1073083.1073135 , editor =
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:38:53.352711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1d064ef4-3ca2-491f-bec8-3ebb0e4b40f6 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.464253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3822e27f-b4d5-46f2-97a7-e935349bf920 · outbound
This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Are NLP Models really able to Solve Simple Math Word Problems?
Reference 54
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.299455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0a4592bc-2e02-48fd-bd7d-ac75c7e3d2c1 · outbound
This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP).
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models In: Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing (EMNLP)
Reference 55
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.320729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fa7b81fa-f402-4aaa-86a2-ea055d18a603 · outbound
This paper cites doi:10.18653/v1/N19-1128 , pages =.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models doi:10.18653/v1/N19-1128 , pages =
Reference 56
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.347438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9bf827c6-ca22-48b9-ae26-d14c1d018482 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.462044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 766feb01-768f-4783-b9bb-8165a26d60ef · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.459744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c975b082-5faa-48a1-8c3c-1940e3f5f291 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.457429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d8287313-530b-4af5-acdc-4aec70da7de8 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.455190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d91fe758-a4f7-4652-b638-27b53f733438 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.453006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 52f23974-d604-44bc-8c94-d45b9bbc70c2 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.450560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d3c53267-ae12-442e-9d35-8f46e0ef83af · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.418229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8e849f5c-c5ff-41f5-9773-6ae06bda67b5 · outbound
This paper cites Social IQ a: Commonsense reasoning about social interactions.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Social IQ a: Commonsense reasoning about social interactions
Reference 64
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.324038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2b34d80b-1753-454e-a36f-ef0527c03065 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.447979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f7f7c72c-5f70-4fca-99f5-b8c2d154cf4b · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.445238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 54a6b688-8a7e-46d7-a915-d1063ae55623 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.442726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation af9b6e2c-e20f-41ba-b249-974fdc1f5809 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.440244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e57e6515-07f0-4466-88c3-a8ca993b08fc · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.437718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 05d53dcc-3cfd-46a6-b994-0c79094176b4 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.435176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8666028c-0cc4-41f0-a690-db932eee3617 · outbound
This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.840386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 780f6246-777e-46dc-bc03-d4afdfa69291 · outbound
This paper cites How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:38:53.855497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9062819a-229b-467a-833d-202bee5b0c8f · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.432265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 886807f1-6065-4adc-8b60-cff9b200a529 · outbound
This paper cites Transactions of the ACL 7, 625–641 (2019).
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Transactions of the ACL 7, 625–641 (2019)
Reference 74
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.314028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3fec9fff-9ffc-494f-8665-11c332d9e901 · outbound
This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Reference 75
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.332835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d997b100-a477-4818-b00b-9975019173ce · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.429574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 683ff4eb-0f1b-4c42-9b2c-6d1ee48d1535 · outbound
This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:38:53.872835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ca1921c0-cd48-4411-83ec-c5dde0a324de · outbound
This paper cites Qwen2.5 Technical Report.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Qwen2.5 Technical Report
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.829077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 522012d0-8b83-4919-8afa-bbf9a933f2cb · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 79
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.426324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 861c133c-3858-44e7-877f-3f52fbc941c9 · outbound
This paper cites URL https:// doi.org/10.18653/v1/p19-1472.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models URL https:// doi.org/10.18653/v1/p19-1472
Reference 80
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.310679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 92d6f802-6620-4519-9d81-1dc136cb2a81 · outbound
This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Reference 81
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.848169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1269ef5f-32a3-4413-bb40-dedde8b2832b · outbound
This paper cites ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.844004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c3a821f2-af53-4d80-a6a2-0570b7f69e43 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.423465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6778271e-f097-44d2-b4a5-54a7b8d0f9b3 · outbound
This paper cites an unresolved cited work.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T02:38:54.420658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c00e22b8-cfd9-4563-be13-59d5f11344b9 · outbound
This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 85
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-17T02:38:53.851741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 140014b9-b16b-4855-8cd3-f99358c9c543 · outbound
This paper cites L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models
Reference 86
- Resolution
- verified exact
- doi, observed 2026-05-17T02:38:53.340585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 588b7b46-e298-413f-b25d-a897a7b8b840 · outbound
This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Reference 87
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:38:53.859804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
No inbound Pith citation observations are available.