Paper Citation Record · LEDGER

AstroLLaVA: towards the unification of astronomical data and natural language

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.08583.

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

pith.paper-citation-record.v1
2504.08583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:23:54.393672Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 056c2f0d-1690-447e-93c5-5dca76cfbf73 · inbound

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure cites this paper.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure AstroLLaVA: towards the unification of astronomical data and natural language

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:54.393672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a398b513-466f-4273-b9f9-e4c088993b5e · inbound

Semantic search for 100M+ galaxy images using AI-generated captions cites this paper.

Semantic search for 100M+ galaxy images using AI-generated captions AstroLLaVA: towards the unification of astronomical data and natural language

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T16:48:06.271752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15f4af27-8fe3-42f4-96f2-0a4e65a08b7f · inbound

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini cites this paper.

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini AstroLLaVA: towards the unification of astronomical data and natural language

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:50.347887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 944c800d-a026-4c59-a67f-cad3d7aff73e · inbound

Do Vision-Language Models See Dwarf Galaxies the Way We Do? cites this paper.

Do Vision-Language Models See Dwarf Galaxies the Way We Do? AstroLLaVA: towards the unification of astronomical data and natural language

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-27T20:41:14.086562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 816be31d-7e27-47cf-9444-0907126d460a · inbound

Exploring Image-Text Alignment for Radio Galaxy Morphologies cites this paper.

Exploring Image-Text Alignment for Radio Galaxy Morphologies AstroLLaVA: towards the unification of astronomical data and natural language

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:34:50.546697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99ab532a-b097-456d-9861-30cf72e637ac · inbound

Generalist Vision-Language Models for Fast Radio Burst detection: a zero-shot benchmark against a specialized detector cites this paper.

Generalist Vision-Language Models for Fast Radio Burst detection: a zero-shot benchmark against a specialized detector AstroLLaVA: towards the unification of astronomical data and natural language

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:46:14.597183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.