Paper Citation Record · LEDGER

A Focused Dynamic Attention Model for Visual Question Answering

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1604.01485.

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

pith.paper-citation-record.v1
1604.01485 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:55:26.575466Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T17:44:57.745830Z

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 109b5f20-38ee-426c-8fee-c9af7d2abde6 · inbound

Multimodal Unified Attention Networks for Vision-and-Language Interactions cites this paper.

Multimodal Unified Attention Networks for Vision-and-Language Interactions A Focused Dynamic Attention Model for Visual Question Answering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T13:55:26.575466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4259109-e739-40ef-92e8-3d81272e724b · inbound

A Better Way to Attend: Attention with Trees for Video Question Answering cites this paper.

A Better Way to Attend: Attention with Trees for Video Question Answering A Focused Dynamic Attention Model for Visual Question Answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:57.919747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5281b5d4-000a-4729-8cc7-7f5afaa59fc5 · inbound

A Comprehensive Survey on Visual Question Answering Datasets and Algorithms cites this paper.

A Comprehensive Survey on Visual Question Answering Datasets and Algorithms A Focused Dynamic Attention Model for Visual Question Answering

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T18:54:50.132308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63df3479-3978-43a0-8660-05c31fd659cf · inbound

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey cites this paper.

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey A Focused Dynamic Attention Model for Visual Question Answering

Reference 166

Resolution: unresolved; no resolver link, observed 2026-08-12T12:02:31.172999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc539fa-3a98-4457-8cad-08ecbf9f0b42 · inbound

Visual question answering: from early developments to recent advances -- a survey cites this paper.

Visual question answering: from early developments to recent advances -- a survey A Focused Dynamic Attention Model for Visual Question Answering

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:28.650267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a7c744-fe05-477a-a442-b0c7d6d25761 · inbound

Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments cites this paper.

Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments A Focused Dynamic Attention Model for Visual Question Answering

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:44:57.747297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.