Paper Citation Record · LEDGER

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

As of 13 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.19420.

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

pith.paper-citation-record.v1
2506.19420 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T08:20:56.561166Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T02:35:37.724212Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T02:39:25.999561Z

Reference resolution

14 of 14 outbound references displayed

verified exact9
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1d63648-484b-4c75-80f0-e1b40852b306 · outbound

This paper cites GPT-4 Technical Report.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:22:10.929650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca8a2b02-701c-45e5-9d95-6b480e538578 · outbound

This paper cites Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.906895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 109d7ec6-6366-43d9-8b8b-d5c018b55097 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:22:10.915770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22d3cd23-0739-472a-9e09-a1775aeafbd4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:22:10.933790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 53d3b50e-dbc1-4a73-80ea-ad435a7ecdbf · outbound

This paper cites Generated Knowledge Prompting for Commonsense Reasoning.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Generated Knowledge Prompting for Commonsense Reasoning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.899847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9674e31-2bce-4b55-a212-ea152dd96387 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:22:10.947022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2bfeda7-b7ca-4c66-bfba-f3baf8ddfcac · outbound

This paper cites MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.977562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00a350bf-cd5e-4884-baae-392e24dc9894 · outbound

This paper cites Leveraging generative large language models with visual instruction and demonstration retrieval for multimodal sarcasm detection.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Leveraging generative large language models with visual instruction and demonstration retrieval for multimodal sarcasm detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:22:12.317751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5220a23c-0799-4c29-88e6-9ff3bb4e7d97 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:22:10.923402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87e037dd-568c-404a-8e99-fd31e1e0b567 · outbound

This paper cites RCLMuFN: Relational Context Learning and Multiplex Fusion Network for Multimodal Sarcasm Detection.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection RCLMuFN: Relational Context Learning and Multiplex Fusion Network for Multimodal Sarcasm Detection

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.967185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ffb7d59-10e4-4cd0-b753-00e13f91bdce · outbound

This paper cites Qwen3 Technical Report.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Qwen3 Technical Report

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:22:10.985357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eef68a8e-126c-448b-91e3-e3795b53e7cf · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Yi: Open Foundation Models by 01.AI

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:22:10.960526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51b99c23-2f2c-480c-9eaf-133d03052004 · outbound

This paper cites Are MLMs Trapped in the Visual Room?.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Are MLMs Trapped in the Visual Room?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.940154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76a08c91-b8c3-43da-8423-463cae8a66cf · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:22:10.954643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation a390991c-d047-405a-8e05-8177aa9000f7 · inbound

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection cites this paper.

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-21T02:39:26.001960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.