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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:b3429a445eaade4cd4b14c5279be6cbb48b53744b767783e48f1164338687ead

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:7ef5e0f5861188687ff5116512eaf27c8f1c9947a8fa4d81e086f15a629dbbd8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:47:51.436258Z digest=sha256:b998df8cf90348e169cfef1e4fbbb6e819000d66d1cefde5fa2ac8e1acefb99b

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:aacc68de5df61d72db0e876585ee0f3a0b85ed76a90ac95e2dc8df4122eb4116

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=sha256:90a94045c508a0a57ef61c2e2d96c1c07cb7bc5b8c2de9fefd5add2939771296

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T18:53:06.494640Z digest=sha256:d33f4d2013a01db4fbc86b67141780b8e3262bf8711c995a9a58876ea61f216f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:49:15.136031Z digest=sha256:3302465827128db16d5947b29e57cbbca4c9dbbe6ffd29d7c4cb043402712fe9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:f88e522f3c11b521269d6fb3e09f680829a9edc6032c9634a072bbe4b69d134d