Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1906.03327.
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 2026-08-02T13:27:50.886671Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:39:29.697481Z
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 aac3bf2f-26c9-4bde-ba18-30b1539858c3 · inbound
HumanNet: Scaling Human-centric Video Learning to One Million Hours cites this paper.
HumanNet: Scaling Human-centric Video Learning to One Million Hours HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:10:54.100081Z
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 b83efce2-60f6-4720-99e4-c3695c01f03a · inbound
World Action Models: The Next Frontier in Embodied AI cites this paper.
World Action Models: The Next Frontier in Embodied AI HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 178
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:17.921649Z
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 22c02f2b-bdb6-488b-9561-1ca4a1e8c67f · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:46:39.975072Z
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 17e3486a-d4a0-40ef-b324-1f48e5ea6594 · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T11:06:23.089564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6047af69-0c9f-4351-98f7-3c54a5e26d1f · inbound
The TIME Machine: On The Power of Motion for Efficient Perception cites this paper.
The TIME Machine: On The Power of Motion for Efficient Perception HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:27:50.886671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8487369e-e5c6-4ade-a681-4925339743b7 · inbound
TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation cites this paper.
TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:12:46.654352Z
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 d80fbd2a-e196-4a80-aacb-ec0f662604df · inbound
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining cites this paper.
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:39:29.699812Z
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 4d429d72-093f-45c4-b88b-ad0ad2c03cbb · inbound
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living cites this paper.
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 182
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T03:09:30.244239Z
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 1e0810f7-9469-4c59-894d-39418a7e82a0 · inbound
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs cites this paper.
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T18:04:14.772882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.