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Paper Citation Record · LEDGER

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.24030.

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

pith.paper-citation-record.v1
2505.24030 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:22:59.848723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:49:10.332132Z

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 a6f643bb-9908-447c-9ac7-c30eece1f7ae · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:15.656955Z

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=2026-05-19T09:31:55.829045Z digest=sha256:669aa49688e920fff6a58edb5bc7ad1fc3738e4b968a5dc6c5acfca01f4938cb

Observation e6969369-5414-4349-b8df-24f857f311e9 · inbound

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection cites this paper.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:08:21.802380Z

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=2026-05-15T00:04:05.071623Z digest=sha256:f5719423694f1b8e2af776a836ef659d262e81ece1db820390839ab2bf1af545

Observation 3e214b86-5429-4023-a875-c412ee228a4d · inbound

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection cites this paper.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T17:22:59.848723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:22:59.848723Z digest=sha256:3ba6e79976284a3780d9bf855e77e64e227ecae864257f0144af4b028642fe34

Observation 2a7955f3-deca-42dc-9a75-456c3a369443 · inbound

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations cites this paper.

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:26.942326Z

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=2026-05-07T10:34:08.828748Z digest=sha256:4784ae9c6ee18ade883e37becc183b7570271165ed1764e8a787e17973527678

Observation d8d392f1-6c03-4462-a32c-1149475253e8 · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:25.313541Z

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=2026-05-12T04:40:23.895430Z digest=sha256:4b9dbeb0164d0cdeb6678c0a320b3c3882d31ece0560e816436eb10b16c06bde

Observation 5e1c1c25-9d44-4d2b-b297-bc38a73bf06a · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:49:10.335025Z

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=2026-05-20T22:48:49.322744Z digest=sha256:7d57369946abaf7744d5596f6a5d5d32caf928b068cf845b9b0f612258d950c7