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Paper Citation Record · LEDGER

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.14546.

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

pith.paper-citation-record.v1
2212.14546 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:39:55.838296Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17abe385-3e3e-4d17-8bae-5f3e16e08407 · inbound

ViperGPT: Visual Inference via Python Execution for Reasoning cites this paper.

ViperGPT: Visual Inference via Python Execution for Reasoning HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T18:15:14.659184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T18:15:14.382011Z digest=sha256:4545f56134b26fba2077007879e321986486cdcaa822c55252293b7a3482bed4

Observation 10d8118a-1f5e-44b4-ae73-3d4294e0bd8c · inbound

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:04:15.071854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T09:02:31.211260Z digest=sha256:727666b41640ad0ab6cc1210ff89436992ee554f422ed6717aaa0e823a0d01d1

Observation 28c91947-cc6a-49f5-8f2a-b9382edf2624 · inbound

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:04:14.790817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T09:02:31.211260Z digest=sha256:687774f7cd0f9df8eed3ddc2cab596c8550b8c652e09c50c350537397a9e1697

Observation 3f3f35b0-5323-4411-a7ae-515c24183b1b · inbound

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment cites this paper.

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 183

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:27:59.162312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-17T03:27:58.952076Z digest=sha256:7d064476d1b4b7d0dff6dca4409db35b812438865d925a002de0217ac2eed484

Observation 0c61eb8c-d172-4766-aae9-ac852093dd79 · inbound

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs cites this paper.

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:43:28.714794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T13:39:55.838296Z digest=sha256:75918af800a876aef3b9e732bb949bf1ee6764b45d284166c84ed999230dacf0