Paper Citation Record · LEDGER

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.16563.

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

pith.paper-citation-record.v1
2404.16563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:09.624752Z

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

0
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 b1225094-d564-42f9-9844-36f267d40443 · inbound

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation cites this paper.

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.624752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d1bc18e-b6dd-449f-a834-21e85dc310e7 · inbound

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments cites this paper.

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:03.496431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ec7afb-e7fc-4fd3-859c-eaf73717a5bb · inbound

BEDTime: A Unified Benchmark for Automatically Describing Time Series cites this paper.

BEDTime: A Unified Benchmark for Automatically Describing Time Series Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:56:46.036631Z

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.

Observation fe9ca0a0-6fd1-424d-a10e-7ce5ebd04eeb · inbound

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection cites this paper.

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T12:50:24.371984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e34c733-f4b5-4735-9f0e-2db5f211334f · inbound

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering cites this paper.

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:11:09.620173Z

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.

Observation 58806f00-3b81-48e6-822b-43d83c257a99 · inbound

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence cites this paper.

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.153802Z

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.

Observation 35b1ca12-6fc4-4835-86b9-1b3a209e3145 · inbound

SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management cites this paper.

SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:50:42.249460Z

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.

Observation c3285107-7527-4829-998b-99f438ebf2bd · inbound

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation cites this paper.

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:31:07.999772Z

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.

Observation b92a6520-4696-4725-8dc5-89dcfef00ce1 · inbound

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign cites this paper.

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:53:42.870868Z

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.