Paper Citation Record · LEDGER

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2402.05935.

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

pith.paper-citation-record.v1
2402.05935 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:10:28.973202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.058979Z

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 3bd4fa02-295b-4fc1-a701-98eb8693ee29 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:07:42.641601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f99e238-87b7-449b-a9b6-b90bdbdbe51d · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:46:16.755206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af8ae0c2-4493-4ead-8c91-db74540d08e0 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.109213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0f9db05-ce6e-42d4-a7e3-872c866349bf · inbound

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? cites this paper.

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:29:30.108729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29366462-c276-43d9-aec2-81dab9c59aa7 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:41:44.501498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55871160-18e5-499d-9433-355b10e849f1 · inbound

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:05:03.779425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7be3e54b-3137-42fd-b0d5-754a9281ea62 · inbound

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:01:54.007023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 289ae9cd-18e5-408e-a7a0-98ad1fee55ee · inbound

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining cites this paper.

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:10:28.973202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f912bcb-b483-4bd9-8eef-d73b36f1e3da · inbound

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer cites this paper.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.501091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b36243-8350-4724-85a8-431ab9f2679a · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 175

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T07:51:13.313149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cbadcd9-caee-4e34-9511-f6bea7f32226 · inbound

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding cites this paper.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.622849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b675fb5-e226-4e93-853a-ee05c37b0b8b · inbound

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark cites this paper.

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T11:26:29.178954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 617b104a-6ce5-43d2-8271-dfbca4478006 · inbound

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:57:13.216249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4ca0389-5ce2-4125-898c-fd9dac8f4f8c · inbound

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts cites this paper.

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:06.518053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9626591a-cf6b-4f0e-85b6-962987fec048 · inbound

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos cites this paper.

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:11.917393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc258f49-a426-4b23-bc29-558dde71b26f · inbound

Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation cites this paper.

Reasoning Multimodal Large Language Model: Data Contamination and Dynamic Evaluation SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:39.543588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0f5d7b-3421-45af-b0a9-5c6c2810d65c · inbound

LaVi: Efficient Large Vision-Language Models via Internal Feature Modulation cites this paper.

LaVi: Efficient Large Vision-Language Models via Internal Feature Modulation SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.746024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 019be010-9436-40f4-8fa9-182185e4c18a · inbound

KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge cites this paper.

KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T21:11:51.363684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11692ed6-db86-4248-a5f4-961a1285f591 · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:40:52.962013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9038ad2b-7b01-4e72-b0ee-82aab3cd54fa · inbound

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs cites this paper.

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T20:23:05.200466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed6f792-9916-4963-8016-0e0cb6490cef · inbound

ReMoT: Reinforcement Learning with Motion Contrast Triplets cites this paper.

ReMoT: Reinforcement Learning with Motion Contrast Triplets SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T19:58:16.978097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2171398-8dff-454d-8f16-48ea58911e64 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:15:50.606098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da617aea-d05e-4d36-83ed-82ac78656311 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T23:55:24.006436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507128b0-d48a-44cc-bd47-42f6a73732b9 · inbound

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving cites this paper.

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:31:01.255346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65867ad8-9a18-4f36-bbb4-ad9155a03ef7 · inbound

Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models cites this paper.

Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:18.565430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cccfad59-f34e-4e61-bdfd-7697f1a14d00 · inbound

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models cites this paper.

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.087658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 076ef308-5182-43f4-9b8e-d6bfde10de36 · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.911591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 964e3653-86d9-4bd9-a086-fc91ddd3fe2d · inbound

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams cites this paper.

DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T02:47:38.306016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ca1043b-cd7d-4edf-994b-34da34f2cbe3 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 289

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.649753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c1e1df4-7704-4278-b672-c2868a1fb8b6 · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:55.060578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.