Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HawkEye: Training Video-Text LLMs for Grounding Text in Videos
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2403.10228.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:29:26.972515Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:38:56.195732Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
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- 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 716f8125-2ca2-4693-9d43-eb94caa2de63 · inbound
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T02:52:20.788080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b27e939a-30d3-47d2-b4aa-8417e26ffd4b · inbound
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:29:26.972515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87fcc106-ab07-4f0a-8792-1a6c1b708276 · inbound
TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding cites this paper.
TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:30:36.705649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a2f41c7-4695-441f-a94a-413cc4806014 · inbound
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding cites this paper.
TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:01:26.012600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 989f777a-e959-4819-8ad1-662748ee862c · inbound
A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.
A Survey on Video Temporal Grounding with Multimodal Large Language Model HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:32:17.599520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fa2f2a3-cd9b-42d7-ba04-97b5d38e51c1 · inbound
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding cites this paper.
EgoExo-Con: Exploring View-Invariant Video Temporal Understanding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:23:07.344850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2633b38-8492-4fae-b0b6-62c18d264932 · inbound
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.
TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:18:52.343793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 040a74d2-2dee-4802-b188-0c456b63ffee · inbound
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding cites this paper.
Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:58:46.547114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a6aa77df-74c7-41c0-87d7-7282fe22140f · inbound
A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos cites this paper.
A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:48:11.514531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f06b4652-9297-48bf-a0b1-87467b1b6445 · inbound
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding cites this paper.
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:15:52.667017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c35a53c6-e8b0-4b7f-9ab0-a1ec6b784bdb · inbound
UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding cites this paper.
UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:02.282639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ba024df3-6600-4bda-8112-4382727cef7b · inbound
How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms cites this paper.
How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:05:58.951662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b05c671b-1fb7-4c2d-a597-34a0592d090b · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 43
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:30:57.115545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 08fed6a5-2670-4c49-8ae0-e4892f7e1f78 · inbound
ViLL-E: Video LLM Embeddings for Retrieval cites this paper.
ViLL-E: Video LLM Embeddings for Retrieval HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:21:01.989634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ef16935-95ca-4aef-a608-08692ba7edc3 · inbound
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding cites this paper.
OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:31:15.822999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b0ba08a4-59c2-4a30-aaa1-0596f03ff238 · inbound
MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding cites this paper.
MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:46:13.699623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d46e3d6c-f44f-496b-9a3d-863043f454d6 · inbound
MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding cites this paper.
MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:45:34.762438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea95495a-a242-433d-a6d2-ca7e8ac05a50 · inbound
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding cites this paper.
EvoGround: Self-Evolving Video Agents for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:32:52.481502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d38aec51-379d-40fb-a3b8-4ae26b317623 · inbound
Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding cites this paper.
Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:06:15.420230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25b9edde-1c18-4302-88f3-8f11480aea48 · inbound
EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding cites this paper.
EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:34:01.972853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b4438bce-39e3-4a81-88d8-8fcb2c7a5e47 · inbound
DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models cites this paper.
DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:55.672672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 00a19d4c-3a9f-4e3b-a7f2-bfc08c45edc1 · inbound
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding cites this paper.
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T17:07:12.834984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03120690-d260-4787-a437-a7550b942b44 · inbound
Temporal-Aware Reasoning Optimization for Video Temporal Grounding cites this paper.
Temporal-Aware Reasoning Optimization for Video Temporal Grounding HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:17:29.106952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6046348f-f56f-46c0-93f6-ed10f481f627 · inbound
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 144
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:48:03.047929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ddc5890-898c-4e74-8d69-05728f1ca9a3 · inbound
Natural-Language Temporal Grounding in Hour-Long Videos is a Search Problem: A Benchmark and Empirical Decomposition cites this paper.
Natural-Language Temporal Grounding in Hour-Long Videos is a Search Problem: A Benchmark and Empirical Decomposition HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:27:56.644785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bc60d46a-72b6-452b-a97e-5da54f35f31d · inbound
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams cites this paper.
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:38:56.197261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82ac2554-f4d3-4bf2-977d-3c49f7fa0cba · inbound
TimeThink: Reasoning with Time for Video LLMs cites this paper.
TimeThink: Reasoning with Time for Video LLMs HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:59:46.244502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.