Pith. sign in

Paper Citation Record · LEDGER

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.07300.

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

pith.paper-citation-record.v1
2403.07300 v3

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:48.772973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.754018Z

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 3c5b4059-f7aa-42a8-a957-8d2b44703b43 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.756929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:7373d6c708f51aaa87b1b554345100ab639472a715cba4c0df9cea2b45ee6aaa

Observation a32cf386-ed54-455a-a130-a458991999c3 · inbound

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting cites this paper.

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:52:26.647748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:49:40.277048Z digest=sha256:1af39af6f0a9b43917c97e26efa98cec50ae4b47687b520d0918101fdb66e58f

Observation 8194f0c9-4674-4798-9675-cd6817ab3a95 · inbound

Non-collective Calibrating Strategy for Time Series Forecasting cites this paper.

Non-collective Calibrating Strategy for Time Series Forecasting CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:48.772973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:48.772973Z digest=sha256:ab5ea31ff35008611799eb8945574c7490bb35b8fab703b121e89efdd5106461

Observation a5b82ed6-9a27-43b8-8b01-feb298f92851 · 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 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:15.846762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:92e6df6617243437aa95abf986d0712f1b4180f4dc0133544f9f8264977747bd

Observation 8b30e9bd-0e33-42ad-9883-88e234be8003 · inbound

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? cites this paper.

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:53.342851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:53.342851Z digest=sha256:e34ef19eb2aa0c7ed6c146f8cf337e0be871fdfff56d7cc0aa4c1fc1f0fd66c4