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Paper Citation Record · LEDGER

A Survey on Multimodal Benchmarks: In the Era of Large AI Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.18142.

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

pith.paper-citation-record.v1
2409.18142 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 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:22.090211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.272585Z

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 c557a1f9-ac2d-44db-92b0-43f0480b06b1 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:28.031666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:51cf1d514e4ba67ad56c821f4c4180d2534c22bc3ce0eecac1bcff2becd6373a

Observation 63eb32f5-96ac-44b0-8440-94fd7fa43783 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.276409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:3d1b94465427a2cb9f0c2a9d5c19b20d6024f4d974894fa8290e641753a7466c

Observation 9db35cdc-8d92-46ec-ac98-a66efb921ab9 · inbound

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models cites this paper.

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:51:37.712351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:47:51.436258Z digest=sha256:9e67047fcde3ae435ad0a469bf081b4d0106cab8819c7c22132dc700f92e701e

Observation 0f72bb53-9575-40fc-8521-b66c9bf026c8 · inbound

MLLMs are Deeply Affected by Modality Bias cites this paper.

MLLMs are Deeply Affected by Modality Bias A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:22.090211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:30:22.090211Z digest=sha256:7cff26800fe37509e19297bd061b636b717671a47994d03442b3a381e22eb80c

Observation dd8e6060-44c9-4360-acc8-2401edbc7d62 · inbound

WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code cites this paper.

WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:50.126766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:50.126766Z digest=sha256:8d8b966317f8454e6b14162bd9e3c31d2a836e1582b32f8311a5ea88b7cbaf99

Observation e9f2a655-68ed-449b-a97c-665f30017551 · inbound

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:00.185747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:00.185747Z digest=sha256:9c9a9be0979ba173ff4328c4f4222c5e881a19452dda31121a62404be569554a

Observation 12192f30-2fac-4490-97fa-162e39571921 · inbound

Unified Multimodal Understanding via Byte-Pair Visual Encoding cites this paper.

Unified Multimodal Understanding via Byte-Pair Visual Encoding A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T21:41:55.375826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:41:55.375826Z digest=sha256:21d7b03f0c6957267e70cc5b062e50d184967f30ef37af4483be36181ca926c3

Observation 751cc548-5a06-447e-be08-dbf092b3ead3 · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:22.824126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T18:53:06.494640Z digest=sha256:e69a291f86399862501fc92174859d0f931597fe6015f9b9afdc2f713348b18e

Observation ae856a2f-042f-4239-9dd6-05ce502599fc · inbound

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs cites this paper.

Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:50:51.520508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:49:15.136031Z digest=sha256:7f472edb5545d7c277d476461f28f2a572776da757b65ced2366d470c373b427

Observation e505cd22-daa9-4144-872f-5f7ba8cc9af4 · inbound

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium cites this paper.

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:56:26.029834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:798b8766bb93a692b06b725f731c1d9cfba4ff93963bf46fb30a59a2d710133e