Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:37.662142Z
Paper Citation Record · LEDGER
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery
As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.05673.
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 2026-08-21T06:32:19.484+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
17 of 17 outbound references displayed
- verified exact1
- verified fuzzy6
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3f03ee53-d777-4b2e-bfb6-49045ffb22c4 · outbound
This paper cites A data-centric approach to improve performance of deep learning models.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery A data-centric approach to improve performance of deep learning models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:39.724859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8b7178b2-9d58-45b0-a82c-8d412b68cb75 · outbound
This paper cites A fast quartet tree heuristic for hierarchical clustering.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery A fast quartet tree heuristic for hierarchical clustering
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:39.506276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5cadefde-479b-4ab9-853f-aa2e9aba7013 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Imagenet: A large-scale hierarchical image database
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:35.686673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da611709-d1d7-4c29-a54f-325ed1f27b91 · outbound
This paper cites Lora: Low-rank adaptation of large language models.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Lora: Low-rank adaptation of large language models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:35.823998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e680dd6-36aa-4499-9c02-409083667f38 · outbound
This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:35.991365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfaafdd7-bfa8-4bbc-96f2-2cbd92633aac · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:36.123475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfd627e3-bb64-43e8-95c2-e0d6346290e2 · outbound
This paper cites Describe Anything: Detailed Localized Image and Video Captioning.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Describe Anything: Detailed Localized Image and Video Captioning
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:36.280131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82fd7aca-8b86-42ee-b52f-09403253589f · outbound
This paper cites Rouge: A package for automatic evaluation of summaries.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Rouge: A package for automatic evaluation of summaries
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:36.414092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44259e8b-3eb5-409d-8347-e69566c76331 · outbound
This paper cites Llava-onevision-qwen2-0.5b-ov.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Llava-onevision-qwen2-0.5b-ov
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:39.234108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 99f472e0-6929-416d-9cea-c82cfbbda90c · outbound
This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Peft: State-of-the-art parameter-efficient fine-tuning methods
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:36.727566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ca5ab7d-a7e9-4ba2-ae6d-28c7eefe4f04 · outbound
This paper cites Bleu: a method for automatic evaluation of machine translation.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Bleu: a method for automatic evaluation of machine translation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:36.840120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c79e0ea-1976-452b-9ef1-98ea2237b9aa · outbound
This paper cites Introducing LLaVA - NeXT , 2024.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Introducing LLaVA - NeXT , 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:38.951774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 64e50ee3-1aeb-43e3-9895-df732f5d483a · outbound
This paper cites Normalized web distance and word similarity., 2010.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Normalized web distance and word similarity., 2010
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:38.579045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ffcbe7bb-c07d-4208-86d2-fbd79bb61fec · outbound
This paper cites Efficient human-in-loop deep learning model training with iterative refinement and statistical result validation.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Efficient human-in-loop deep learning model training with iterative refinement and statistical result validation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:18:37.994654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2d90e9a8-6f36-4858-af4b-47171a740b24 · outbound
This paper cites Sigmoid loss for language image pre-training, 2023.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Sigmoid loss for language image pre-training, 2023
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:37.340210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96354771-7e19-4834-95c0-1b597c161c37 · outbound
This paper cites Long-clip: Unlocking the long-text capability of clip.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery Long-clip: Unlocking the long-text capability of clip
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:38.361823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1ed74d1e-8008-45f3-b0dd-8b8a594b1dd3 · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery BERTScore: Evaluating Text Generation with BERT
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:37.662142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.