Paper Citation Record · LEDGER

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.19474.

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

pith.paper-citation-record.v1
2402.19474 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:07:05.209945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.953855Z

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 f732151a-73f6-47c9-851b-5054f3964f01 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:58:59.238954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7446d942-befe-4d0a-9ee5-efe76ad137e5 · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:16:17.500653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a88959a-3481-4f4e-a554-dbe640691a1e · inbound

SignEye: Traffic Sign Interpretation from Vehicle First-Person View cites this paper.

SignEye: Traffic Sign Interpretation from Vehicle First-Person View The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T18:30:41.580179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c9f2ef-c504-48a9-bc13-0f6fe46ade92 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 251

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:23:58.122139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a669df6c-77bd-4c71-b69b-ea830c6f785f · inbound

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations cites this paper.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.606576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a475ba5-0bba-44a8-8f13-ad99d42f6da7 · inbound

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment cites this paper.

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T00:47:12.411857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d553f152-84d0-4899-9d25-7e442a9855a9 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 265

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.926810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472eada9-fc76-4caf-8cc4-0cb281b81a9f · inbound

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities cites this paper.

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:48.341347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc2bd6c-90b1-4dca-ab4e-02ab95a27224 · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:41:08.126330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4c29b91-de0c-400b-b238-62856187c9ae · inbound

RoboGround: Robotic Manipulation with Grounded Vision-Language Priors cites this paper.

RoboGround: Robotic Manipulation with Grounded Vision-Language Priors The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T05:07:05.209945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c52519d-d1bd-4953-b3ef-870c2d40417b · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:04.926275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71525835-f3cc-46a5-aac0-c0f2ba608ae6 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 145

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:58:58.860124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1daf37a9-7708-467f-9ccb-7631b853dd2b · inbound

VoCap: Video Object Captioning and Segmentation from Any Prompt cites this paper.

VoCap: Video Object Captioning and Segmentation from Any Prompt The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T14:01:17.942135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddcf7caf-b1a0-46fd-a484-ab6de461b55a · inbound

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models cites this paper.

Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:28.046008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3d9eb25-7eb4-444c-b572-cdc9af1c10d0 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 151

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:03.033665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e57638b4-9076-462c-bdc5-ab9d8a9314b8 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 195

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:43.955485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.