Paper Citation Record · LEDGER

Scaling Laws for Native Multimodal Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2504.07951.

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

pith.paper-citation-record.v1
2504.07951 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:54.984579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:18:21.000835Z

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 3e059d4e-8c73-46df-a29c-1c8a4bb510f2 · inbound

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation cites this paper.

OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation Scaling Laws for Native Multimodal Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:17.154880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73140c5-91fa-407b-99ab-3bd6fb1bcb23 · inbound

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics cites this paper.

SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics Scaling Laws for Native Multimodal Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:22:37.522985Z

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 ab65bb51-1a9c-493c-a589-2290c2ca0f6a · inbound

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts cites this paper.

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts Scaling Laws for Native Multimodal Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T16:29:41.438138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa1e027-51e4-4a93-b05e-9bd8929c139e · inbound

Lifting Unlabeled Internet-level Data for 3D Scene Understanding cites this paper.

Lifting Unlabeled Internet-level Data for 3D Scene Understanding Scaling Laws for Native Multimodal Models

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:18:21.002398Z

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 680fb1d0-593e-4c6a-ba5f-bd38ff94ee31 · inbound

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning cites this paper.

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning Scaling Laws for Native Multimodal Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:04.482942Z

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 a996b843-037d-46e4-b743-3416d5c84dff · inbound

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning cites this paper.

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning Scaling Laws for Native Multimodal Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.725349Z

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 fc704cb3-8539-48ec-97c2-62a6e2b2617f · inbound

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning cites this paper.

Visual Enhanced Depth Scaling for Multimodal Latent Reasoning Scaling Laws for Native Multimodal Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:27:29.457255Z

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 bd6170f1-0226-4a3d-bea7-347a92712a4a · inbound

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens cites this paper.

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens Scaling Laws for Native Multimodal Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:51:04.979363Z

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 7b91f7f1-c2a2-4df5-8000-99c61ff51fb2 · inbound

On the Invariance and Generality of Neural Scaling Laws cites this paper.

On the Invariance and Generality of Neural Scaling Laws Scaling Laws for Native Multimodal Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.057740Z

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 7d89982d-90d5-472a-86e0-65c1a77ebeda · inbound

ZAYA1-VL-8B Technical Report cites this paper.

ZAYA1-VL-8B Technical Report Scaling Laws for Native Multimodal Models

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:23.450737Z

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 019656ee-8ff4-4a57-809e-ddd0ef5fdde9 · inbound

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs cites this paper.

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs Scaling Laws for Native Multimodal Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T02:46:49.703170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ea58d5-84a9-4a15-806a-a90366ac8381 · inbound

Routing Is Least Learnable Where It Is Most Valuable: Bounds on Representation Routing for Web Agents cites this paper.

Routing Is Least Learnable Where It Is Most Valuable: Bounds on Representation Routing for Web Agents Scaling Laws for Native Multimodal Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:54.984579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.