Paper Citation Record · LEDGER

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue

As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2502.05806.

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

pith.paper-citation-record.v1
2502.05806 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:57:33.498726Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy5
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af8c9c5b-98a9-4b0d-86e3-15037f0223e7 · outbound

This paper cites Multimodal Dialogue State Tracking.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Multimodal Dialogue State Tracking

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.684425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 742ae8af-9c26-4de4-82d2-f9f9fc46f77a · outbound

This paper cites an unresolved cited work.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:57:33.770534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a746d5fa-ba37-4a7c-a63e-5c703ab49767 · outbound

This paper cites Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.640552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec9bdbf2-dbe0-4d65-b6b6-ff9945b91a43 · outbound

This paper cites Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.562754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3bcaab8-e11a-43f2-8660-095f6119cb9f · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T17:57:33.493500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e256963-702a-4c6f-85b0-93233c014f19 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2021.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue In Findings of the Association for Computational Linguistics: EMNLP 2021

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:57:33.738129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36ebb770-ccef-4b49-a792-71981a9162b9 · outbound

This paper cites In Proceedings of COMPSTAT’2010: 19th International Conference on Computational Statistic- sParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers, 177–186.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue In Proceedings of COMPSTAT’2010: 19th International Conference on Computational Statistic- sParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers, 177–186

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:57:33.821540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0033eae6-7939-42df-ad59-30c5fb1a077e · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-08T17:57:33.476304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5016681-44dd-426d-9b5e-9760a25d77bd · outbound

This paper cites Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

Reference 2015

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.662440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5e4492f6-cda5-4035-b42d-7e01a3d8241d · outbound

This paper cites End-to-end optimization of goal-driven and visually grounded dialogue systems.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue End-to-end optimization of goal-driven and visually grounded dialogue systems

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T17:57:33.482021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0a8aa7-f55b-4b80-9765-3b410742dc3a · outbound

This paper cites Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Langauge Reasoning

Reference 2018

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.721635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19d89950-a96d-49f5-84bc-c4ab2594dc5d · outbound

This paper cites What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T17:57:33.617300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36ac1aa5-e0d2-4327-8903-a3b779e736ca · outbound

This paper cites Advances in Neural Information Pro- cessing Systems, 33: 4247–4258.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue Advances in Neural Information Pro- cessing Systems, 33: 4247–4258

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:57:33.803445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3a4a2d6-0334-4cd5-8528-0593513c639d · outbound

This paper cites In Chinese Computational Linguistics: 20th China National Conference, CCL 2021, Hohhot, China, Au- gust 13–15, 2021, Proceedings, 177–192.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue In Chinese Computational Linguistics: 20th China National Conference, CCL 2021, Hohhot, China, Au- gust 13–15, 2021, Proceedings, 177–192

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:57:33.753916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17546764-88cc-4260-9f33-84695de99830 · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue A Survey of Vision-Language Pre-Trained Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T17:57:33.435230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca661345-8b3e-4704-b56a-b69830150210 · outbound

This paper cites In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Process- ing, 9161–9175.

Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Process- ing, 9161–9175

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:57:33.786893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.