Paper Citation Record · LEDGER

LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.08580.

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

pith.paper-citation-record.v1
2412.08580 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:45.832794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.275291Z

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 df7408fd-27c2-4457-b7f9-ae574b7f88db · inbound

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models cites this paper.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.832794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135ff03e-3a46-452c-a20b-1f67065b097e · inbound

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation cites this paper.

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T10:24:55.277570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102b8abe-38c3-4de5-9840-006b802b1dd5 · inbound

Participatory AI: A Scandinavian Approach to Human-Centered AI cites this paper.

Participatory AI: A Scandinavian Approach to Human-Centered AI LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T16:37:26.605131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962b1cdd-4de4-4d1c-ad6b-b28f0bc8b750 · inbound

The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor cites this paper.

The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:07:58.844481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70f53f70-cb46-4cfd-85d9-90725dd80a60 · inbound

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization cites this paper.

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:10:43.064327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e607d0c-e40b-40a8-9b30-5d03d300f12f · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:36:35.282252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 557264fc-ffe9-48f0-ab1f-15a838f98369 · inbound

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization cites this paper.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:28.277687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.