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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:ff5af82a678595309bf4d2563aac4ebaf975465ecfa834695139d96c37fcaabd

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:4268246ae5fe3138904e9b23be725ce37019c4f5ce55aeb869695637234ce9c9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T13:47:51.436258Z digest=sha256:8e1f2c433b3d6fabe76f7ab117df61a063df4ea94e87f6862bfd4e4ab8c4eb19

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=sha256:974a64ee51cea6e7ee4a7779a9d1d0454ac3bd013bc9bbc43f208da2dc7a06bc

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:beec656d8149e465048c03f77ed8d86b38871efc28887eb837833b2dbb70b335

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=sha256:5176d910f09eb9f7d4806a0f8d75ac6c4ad124e084199b9eba530f9f352c309c

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:cd94b50e6aa87d57ca5c2a98ea0472b66f5fc8f7dfaf8f4d22d81fb9985469ad

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T18:53:06.494640Z digest=sha256:27439eb6aff81c60f8fa2180d9a866d8129381a636c7b2b5503031849c0173ad

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:49:15.136031Z digest=sha256:4a90dfb1ddac9643fad85cec17875d48747f61defe7777ca10975c47611ff429

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:75d548bdb914a0300493097fa890b84160b569597b220d6e2472b22c91870b12