Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.16562.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:29:35.515125Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:25:41.334563Z
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 10a34616-3249-4930-a592-9478f1f7d2fe · inbound
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps cites this paper.
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:45:17.573543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 705c9ce6-f7a0-4e8f-b954-8fe7ef882e72 · inbound
No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.
No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.336381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 666840fb-05ee-410e-bc0d-9a16fa545370 · inbound
Debiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling cites this paper.
Debiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:29:35.515125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f619b36b-7cfc-4c86-97b7-f2f6d9d31e7b · inbound
Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed cites this paper.
Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T09:24:20.579080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.