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 28 inbound Pith citation observations for arXiv:2403.10228.

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

pith.paper-citation-record.v1
2403.10228 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:47.240790Z

measured 0 of 1 external citation measurements

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 2026-08-07T06:34:17.273281+00:00.

Observation 85ce6aae-bad9-42a4-9987-1de562e8821c · inbound

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency cites this paper.

Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency HawkEye: Training Video-Text LLMs for Grounding Text in Videos

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:47.240790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.