Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:07:03.849305Z
Paper Citation Record · LEDGER
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.00457.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact2
- verified fuzzy1
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 32850ec7-c8b5-4ded-86c2-46a8e8925fcf · outbound
This paper cites an unresolved cited work.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:07:04.750521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5824e3e-20bd-49ec-b141-3dcaf0f546d0 · outbound
This paper cites an unresolved cited work.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:07:04.649653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd87d9fb-c1ab-4e5b-bbde-46ac49316d44 · outbound
This paper cites The Curious Case of Neural Text Degeneration.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models The Curious Case of Neural Text Degeneration
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:02.780449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7189f39-ab5d-403f-bd01-b13158e74bd7 · outbound
This paper cites arXiv preprint arXiv:2407.01082.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models arXiv preprint arXiv:2407.01082
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:02.880249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c37a47f-d018-470c-ba5e-70ffe8817970 · outbound
This paper cites ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:03.104482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36e715ba-d285-4937-8a62-85a3a8f4acf0 · outbound
This paper cites Context is Key: A Benchmark for Forecasting with Essential Textual Information.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Context is Key: A Benchmark for Forecasting with Essential Textual Information
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:03.176203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a3e55bc-4b79-403a-a3f9-488fdebf70bf · outbound
This paper cites the AAAI Conference on Artificial Intelligence (AAAI).
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models the AAAI Conference on Artificial Intelligence (AAAI)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:07:05.452145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f8b1c2fa-8144-4923-8fa3-263d02c97733 · outbound
This paper cites an unresolved cited work.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:07:05.166099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 519f25b3-38dc-4b75-bddb-3250b1478344 · outbound
This paper cites an unresolved cited work.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:07:04.867302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 672bdfb4-903b-4ba3-bb02-c6f406e6799f · outbound
This paper cites Let’s think step by step.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Let’s think step by step
Reference 12
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T12:07:04.289802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bad1fb18-bcda-4a7a-b983-d09755401cff · outbound
This paper cites Do not say anything like ’the next terms in the sequence are’, just return the numbers.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Do not say anything like ’the next terms in the sequence are’, just return the numbers
Reference 15
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T12:07:04.099956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bca924a3-2f2a-450c-b904-daf557a82817 · outbound
This paper cites Monash Time Series Forecasting Archive.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Monash Time Series Forecasting Archive
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:02.677364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da00f9b9-f552-4090-aa14-1872d20fe9ff · outbound
This paper cites Rank-N-Contrast: Learning Continuous Representations for Regression.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Rank-N-Contrast: Learning Continuous Representations for Regression
Reference 2022
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T12:07:04.402414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 359f00a3-57c1-4ef5-b728-e96154b9851d · outbound
This paper cites an unresolved cited work.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Unresolved cited work
Reference 2023
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:07:05.651873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4ee09ea3-f08a-4a41-933c-60c55199019a · outbound
This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models QLoRA: Efficient Finetuning of Quantized LLMs
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:07:02.618235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.