Paper Citation Record · LEDGER

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision

As of 14 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2411.08397.

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

pith.paper-citation-record.v1
2411.08397 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:42:37.485679Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T09:31:55.829045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:32:15.666337Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy11
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27d206b6-2865-41d3-bc58-7ca9d2344fb6 · outbound

This paper cites Towards discovery- oriented patient similarity search,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Towards discovery- oriented patient similarity search,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.825959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fb87418-df68-439f-9981-6af70300892b · outbound

This paper cites Qetch: Time series querying with expressive sketches,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Qetch: Time series querying with expressive sketches,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.810167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3462e0a-beaa-4b7c-8faf-416b1221b087 · outbound

This paper cites The semantics of sketch: Flexibility in visual query systems for time series data,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision The semantics of sketch: Flexibility in visual query systems for time series data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.795683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac500e41-1796-4246-a7a9-ed94d65279e8 · outbound

This paper cites A dynamic query interface for finding patterns in time series data,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision A dynamic query interface for finding patterns in time series data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.779975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e0eca90-e922-4731-9944-622fe8827512 · outbound

This paper cites A flexible forecasting framework for hierarchical time series with seasonal patterns: A case study of web traffic,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision A flexible forecasting framework for hierarchical time series with seasonal patterns: A case study of web traffic,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.767483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4b4540c-d0f4-467a-918e-544e7b57da50 · outbound

This paper cites Putting the human in the time series analytics loop,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Putting the human in the time series analytics loop,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.752216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd1dd994-e7da-4692-a3a2-2df81dc373a2 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.408169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a779d07-897a-410c-b213-0d1442227b0d · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.412730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcbc41a1-df18-4932-bf4f-890c36caa8c0 · outbound

This paper cites UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.417388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34b4b48-b060-4a4c-9ac5-89ae25c1ebda · outbound

This paper cites Chronos: Learning the Language of Time Series.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Chronos: Learning the Language of Time Series

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.421570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c18c2b1-edad-4e1b-a009-ab57fba0c3ce · outbound

This paper cites UniTS: A Unified Multi-Task Time Series Model.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision UniTS: A Unified Multi-Task Time Series Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.425887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9327c88-6eb6-4924-9045-ba94eb2c9ea3 · outbound

This paper cites Truth-conditional captions for time series data,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Truth-conditional captions for time series data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.738966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6dfb7ed1-a9ce-485f-9bfe-b423e4893660 · outbound

This paper cites UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.436190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62dd4a85-3c58-42d8-aafd-8bdfd75d74df · outbound

This paper cites Domain-independent automatic generation of descriptive texts for time- series data,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Domain-independent automatic generation of descriptive texts for time- series data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.723881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a17d3840-3957-4df7-8867-dd7aa5edaf5c · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Learning Transferable Visual Models From Natural Language Supervision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.445387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3719773-b6c7-4fe2-9216-65faa1df41bb · outbound

This paper cites CLAP: Learning Audio Concepts From Natural Language Supervision.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision CLAP: Learning Audio Concepts From Natural Language Supervision

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.450676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7e01a7-8eda-48c1-b2d7-92569bab8848 · outbound

This paper cites TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.455733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2206870a-239b-4786-947c-f8edde3cce98 · outbound

This paper cites IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.460011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4a9e30-1cf0-41a4-bf1e-36a5fb7ce891 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.464241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d529507-c121-4a2f-9ed8-56f7cfcb6f21 · outbound

This paper cites Attention is all you need,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Attention is all you need,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.709274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b16c8d5-86c9-48a5-a511-96638efbbc6c · outbound

This paper cites SUSHI: A dataset of synthetic unichannel signals based on heuristic implementation,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision SUSHI: A dataset of synthetic unichannel signals based on heuristic implementation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.694644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9efe7d8-be3d-4bf5-a143-616041d212de · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese BERT-networks,.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision Sentence-BERT: Sentence embeddings using siamese BERT-networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:42:37.680438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 452f0e87-f3d4-4a9c-b5a4-1cc19ffe6f67 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:37.485679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 940f9d07-934c-47f7-8a23-690229aa3126 · 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 CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.670196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7eeae542-65e3-4938-86c9-2d0bbdfdfd3c · inbound

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions cites this paper.

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:19:35.430886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.