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Paper Citation Record · LEDGER

Provable Dynamic Fusion for Low-Quality Multimodal Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.02050.

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

pith.paper-citation-record.v1
2306.02050 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:33:50.545502Z

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

20
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 f7a77224-35cb-4212-87e5-2628e94720b3 · inbound

LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier cites this paper.

LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier Provable Dynamic Fusion for Low-Quality Multimodal Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T10:33:50.545502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:33:50.545502Z digest=sha256:4a832c90d253439afef0b1626ff8bb46a10895bd21fad982a4f75aeaeb021d17

Observation 0b9de923-7ca8-489c-aef7-b13973400db4 · inbound

Majorization-Guided Test-Time Adaptation for Vision-Language Models under Modality-Specific Shift cites this paper.

Majorization-Guided Test-Time Adaptation for Vision-Language Models under Modality-Specific Shift Provable Dynamic Fusion for Low-Quality Multimodal Data

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-09T00:09:27.184247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T04:23:15.083645Z digest=sha256:d0576d15104fea542244958780ca939a776f71763e3eb4d859f62a972b262b85