Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.05261.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:31.079587Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:13:06.644583Z
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 a6719a44-8107-49c8-ba88-5c2df4e4c016 · 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 TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 286
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:23:58.272883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51d4c1cb-6033-4345-a32b-c74ed19ae48d · inbound
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 104
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:09:26.325640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8e87d110-f4fe-44ac-9097-1b8a3435c0db · 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 TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 141
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:41:08.163440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d579bcc5-90ce-4206-a9d1-ca44152c45a2 · inbound
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting cites this paper.
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:31.079587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73163043-530e-41f2-8ede-891deaf0a7d3 · inbound
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning cites this paper.
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:57:21.429164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b75d618-2b7d-4489-bec3-61f553f0e1ad · inbound
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:42:04.361196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ddefe12-f8f7-430b-932b-7aec5aeb1566 · inbound
Multi-Agent Interactive Question Generation Framework for Long Document Understanding cites this paper.
Multi-Agent Interactive Question Generation Framework for Long Document Understanding TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:45:18.536837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04693b41-5900-4236-b76b-41a5c210de4b · 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 TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 170
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:58:58.933332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 81fefa0e-6857-40a4-adf0-e7f5603a0335 · inbound
Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models cites this paper.
Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:33:26.644288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 19b594b1-1a15-4592-a419-388cb0803ad0 · inbound
UIPress: Bringing Optical Token Compression to UI-to-Code Generation cites this paper.
UIPress: Bringing Optical Token Compression to UI-to-Code Generation TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:00:59.204276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 793c502c-88b8-4fad-ab15-0882408abbc4 · inbound
Visual Preference Optimization with Rubric Rewards cites this paper.
Visual Preference Optimization with Rubric Rewards TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:00.866790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation daf5c038-6a87-4bd2-ad6e-2659742359a8 · inbound
MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems cites this paper.
MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:13:06.646603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.