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Paper Citation Record · LEDGER

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:03.576139Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T08:22:03.403362Z digest=sha256:d8e1256d1ea2502116681860957b4432f94456d0fc7b1101f9a039fbe2e16ec0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T23:26:06.183574Z digest=sha256:84149188cc4f6f52da5343c5448f3a34a08dbe8f38fdf2390c05f0eac5b4646a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:30:15.425230Z digest=sha256:32d5205aaed2b9482490efc6943c0ee63f2cad872818e73f42b1567109e937ab

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T19:11:33.783746Z digest=sha256:e4c84906c97a0f02168366f46138004efc75351281348575f09acc40672d1679

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T14:01:49.854238Z digest=sha256:79247d547456f7e7ac9b9f5df5ce5425ac275728314f37ad2554b47624932722

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:0e338bf86c0d4f13bdd7af156e6d9ae54cda871147f21eafcbb41f2be5bf7f6e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T04:09:36.019146Z digest=sha256:e421b9e7ef5237f17369a0d65d953b3baaafcb3a78e6f3c57bf2b5b05c9a4f02

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.

source=pdf_text observed=2026-08-07T14:46:03.576139Z digest=sha256:1bfd755d48982b1c018be44d49c0dd742c22cb80312f25748929a0f494be68ef

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.

source=arxiv_source observed=2026-08-07T04:43:47.872697Z digest=sha256:6df26f684400792c5f734e1b305a7456a9516e09aa2fe905a2cb6787740c43fc

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.

source=arxiv_source observed=2026-08-05T23:32:17.617742Z digest=sha256:71724a5b70eb9f6588d48cd8de3f5419f5248e9e61c3bd59990804ea1c765d30