Paper Citation Record · LEDGER

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2501.15942.

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

pith.paper-citation-record.v1
2501.15942 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:55:05.266770Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:40.947345Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:25:56.166348Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy2
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa8a99b9-3764-4d4c-bf27-c203012213a5 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.190166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0cb296-26a2-43eb-ac50-d2ec3f7753b3 · outbound

This paper cites Monash Time Series Forecasting Archive.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Monash Time Series Forecasting Archive

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.216051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5aa3999-d8e6-4ab1-a368-73b94af0a876 · outbound

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

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.222498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c82667-fe63-4c94-bd52-60dd16113486 · outbound

This paper cites Augmenting reinforce- ment learning with human feedback.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Augmenting reinforce- ment learning with human feedback

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:55:05.516405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 164d6408-1138-4d7b-9a59-100350fa1958 · outbound

This paper cites Proximal Policy Optimization Algorithms.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Proximal Policy Optimization Algorithms

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.231953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff4f2726-1e60-4f51-b9b8-69d29ff6ed64 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Unified Training of Universal Time Series Forecasting Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.237425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205a898e-b6fc-4ca6-9a07-4155d9471e2f · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.242913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652b4fcc-aa65-406e-b7a9-1f4a47a5be1a · outbound

This paper cites an unresolved cited work.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:55:05.501179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd5a2e0a-3af3-460a-8550-a7efd414d322 · outbound

This paper cites TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.253473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e7c23b-3f06-4945-a030-7a75e90c57af · outbound

This paper cites an unresolved cited work.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:55:05.486953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fc633183-396f-42d5-9218-2f76b60ba6df · outbound

This paper cites Case study D.1.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Case study D.1

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:55:05.472531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dcaf993f-9fd9-4b18-a908-b3159515d918 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback A decoder-only foundation model for time-series forecasting

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.205712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8d9b21-bab2-4dc6-983f-0a0205855d84 · outbound

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

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Chronos: Learning the Language of Time Series

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.195686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ad9b6a-4aa1-4a90-99fc-02c6f455d004 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.247698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0958536f-7be5-4d74-891b-988a79368b54 · outbound

This paper cites The Llama 3 Herd of Models.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback The Llama 3 Herd of Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.211278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b9be8a-ad51-4a22-a319-6b7fa44e91c5 · outbound

This paper cites VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.200627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c086c372-a9ee-4481-a137-bb6c646d2dfb · inbound

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting cites this paper.

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:00.434511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b951ed-af98-4711-8dee-f13fc1bb3aa3 · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.169831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4dd915a6-2c40-4584-8c62-3682da7f34d8 · inbound

Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems cites this paper.

Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T19:30:33.555859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dc9e314-e8e4-49b8-9e61-206e81f05e65 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models TimeHF: Billion-Scale Time Series Models Guided by Human Feedback

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:40.947345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.