Paper Citation Record · LEDGER

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2302.11713.

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

pith.paper-citation-record.v1
2302.11713 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:22:10.964965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:59:46.832017Z

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 b6bfed60-da5a-4134-b7a6-b87f524b9d9b · inbound

PaLI-X: On Scaling up a Multilingual Vision and Language Model cites this paper.

PaLI-X: On Scaling up a Multilingual Vision and Language Model Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:36:10.023151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4f59d38-5b45-41f7-af56-f14df06e3ed3 · inbound

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation cites this paper.

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T16:22:10.964965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3109636d-67a5-415a-baff-0e63cb21a129 · inbound

UniCoRN: Unified Commented Retrieval Network with LMMs cites this paper.

UniCoRN: Unified Commented Retrieval Network with LMMs Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:15.864357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a8baad-8059-40d3-af0d-6ecc6d78427f · inbound

Towards General Continuous Memory for Vision-Language Models cites this paper.

Towards General Continuous Memory for Vision-Language Models Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:45.236100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1780cfb-b22e-4278-807b-4b7dcdd9248a · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:55.697518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b593f0-fa3a-43dd-82f9-2874a2ab121a · inbound

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding cites this paper.

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:17.778638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa67e94-d0bc-4c11-8444-04a73de81995 · inbound

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:52:19.894702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 261c7fb3-9da8-48e0-95c6-3f92a1fafaf9 · inbound

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM cites this paper.

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:40.614803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eed1381-9216-4444-9d52-308e0adc1ca9 · inbound

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models cites this paper.

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:21.914960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b0c8a1-b73e-4bf0-bf58-3901c577b7e7 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.427821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2b48a63-6335-45e0-b0b6-35b2fc97d4c6 · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:18:32.356535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d9639e-f645-4088-80e7-25eeee52864d · inbound

Augmented Vision-Language Models: A Systematic Review cites this paper.

Augmented Vision-Language Models: A Systematic Review Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:33:31.536273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c4a3da-e9a7-4fa5-b398-b019731279ff · inbound

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent cites this paper.

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:56:23.880172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea7054b4-df8a-41ef-a8c0-4066d635aa22 · inbound

DeepEyesV2: Toward Agentic Multimodal Model cites this paper.

DeepEyesV2: Toward Agentic Multimodal Model Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:32:29.538412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e880ec27-3ea7-45b3-8290-d63e329b92e4 · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:47:45.512121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f8b9170-1c4c-4886-bf4a-bcaa4ed1c4c7 · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:52.772526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1c256f-8a67-45d1-bb0d-622d9aac99ed · inbound

Evaluating the Search Agent in a Parallel World cites this paper.

Evaluating the Search Agent in a Parallel World Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:06:19.398333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fd4f9ae-c567-4359-a94a-2355379060a8 · inbound

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum cites this paper.

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-15T14:43:21.866055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df65d05-b063-4535-bd42-fb830a64fa75 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:15:50.617495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c589ea0-4333-4bed-9a40-68f66b2496c2 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T23:55:24.006436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d5088e-69fd-4c27-a7c0-95a147f5c88f · inbound

Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering cites this paper.

Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:55:59.357888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f65682d5-c688-4328-a206-d66109f75ec6 · inbound

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents cites this paper.

DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:31:08.003540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17253701-54e0-494f-99cf-108285154a07 · inbound

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards cites this paper.

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:41:09.791197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4dfc9e15-e7ef-4c77-9ef1-356eb94b06a6 · inbound

Delineating Knowledge Boundaries for Honest Large Vision-Language Models cites this paper.

Delineating Knowledge Boundaries for Honest Large Vision-Language Models Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.309052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fabff02-2f74-430d-995d-3bcac17718dc · inbound

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.194601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7219241-79d1-4bb5-9a7d-668821257ec8 · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:18:57.778198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdc4ff57-90a9-4fd6-938f-fe148251fffa · inbound

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification cites this paper.

Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:59:46.833645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcf7514f-5791-4cb5-b6b6-aacdc5ce8d7c · inbound

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search cites this paper.

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:55:41.073138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1c92dfb-b7d4-4e0d-8081-6a6b85515075 · inbound

Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting cites this paper.

Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:17:17.746673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bfdd7a1d-5754-44bc-b4ee-de7fe08b7503 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:52.536689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ee170d-edfb-4ad2-8703-e2033d4bd1f9 · inbound

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering cites this paper.

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:31:14.890550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10cad550-eafc-443e-b7b9-4b4853ee7ce6 · inbound

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering cites this paper.

UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T04:19:50.895716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf954f1-ee33-40a1-9b60-d5801e39a2c0 · inbound

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent cites this paper.

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T04:44:29.820822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.