Paper Citation Record · LEDGER

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2309.10020.

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

pith.paper-citation-record.v1
2309.10020 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:01:38.597292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:53.116612Z

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 c1050e18-1143-40b7-b022-aa017a39058a · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:22:03.682682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef6ed164-1533-4403-8646-f639458cc41b · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T23:26:06.390313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c39991c4-dfc9-4bcc-bbdb-1cb9fb988908 · inbound

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts cites this paper.

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:30:15.503309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf020d47-9d74-4902-ac06-25f2bd60600a · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T19:11:33.899469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3e8fe69-e41b-4959-be61-c2921030a0f2 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:01:49.981476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ee35e4b-ba30-4091-88d1-0cbe7785c13c · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.123033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 125869bc-ad0a-4f6c-ae49-1192b81d123b · inbound

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

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-16T04:09:36.459955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 699d76ee-d1b9-4703-8964-3d4389f0f0c9 · inbound

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons cites this paper.

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T17:55:13.390983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc6c466-f7e4-4222-a81a-f9a6d9f3d38b · inbound

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation cites this paper.

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:08.150494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29186f2e-df6a-455f-8a61-971fec18c265 · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 230

Resolution: unresolved; no resolver link, observed 2026-08-11T14:59:02.143438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a7d89ad-b2a3-41c8-87fb-4526b4f59105 · inbound

A theory of appropriateness with applications to generative artificial intelligence cites this paper.

A theory of appropriateness with applications to generative artificial intelligence Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:06.541752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4225dcd3-af5e-41d8-8154-08fbe9d31d1a · inbound

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform cites this paper.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:46:05.766965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f519ed-53c6-45ae-a6e6-f7b0681e5b9d · inbound

GeoMM: On Geodesic Perspective for Multi-modal Learning cites this paper.

GeoMM: On Geodesic Perspective for Multi-modal Learning Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:01:38.597292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fbb5e93-34a1-4a35-add5-d78cb7fc6a2e · inbound

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents cites this paper.

Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:06.681467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8dc0f4-8b75-40f5-84a5-395a5aab68b0 · inbound

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection cites this paper.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:03.576139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594b128c-0f69-44c4-a94c-102c4f6df394 · inbound

Vision Generalist Model: A Survey cites this paper.

Vision Generalist Model: A Survey Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T04:43:47.872697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7c5fcc-0cc6-4ebd-b0cc-dc5daecb2176 · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T23:32:17.617742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.