Paper Citation Record · LEDGER

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2608.05571.

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

pith.paper-citation-record.v1
2608.05571 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:21:59.376218Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact3
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcc19d02-491a-4970-ad6f-5932e18d3505 · outbound

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

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning A decoder-only foundation model for time-series forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.318199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73da6ee7-27a6-41f4-af21-4899bfa2d7fe · outbound

This paper cites Retrieval-Augmented Diffusion Models for Time Series Forecasting.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Retrieval-Augmented Diffusion Models for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.334881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3435ae3b-17c9-4dd6-83b6-195b13605624 · outbound

This paper cites John Paparrizos and Luis Gravano.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning John Paparrizos and Luis Gravano

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.340407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96843ec-07ed-4f5b-9834-65e3e060b03d · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.351201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0428cb-4cf2-41c0-be6a-fe4601985606 · outbound

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

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Unified Training of Universal Time Series Forecasting Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.356270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95cc138-53c2-424a-8eec-32107b14561a · outbound

This paper cites arXiv:2412.16643.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning arXiv:2412.16643

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T10:21:59.944947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d730715c-e907-4cf1-84c9-678f0102fe70 · outbound

This paper cites Jiaping Zhao and Laurent Itti.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Jiaping Zhao and Laurent Itti

Reference 12

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T10:21:59.793578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3baa288-61ff-42ad-b5ec-48698039ddbf · outbound

This paper cites ARvs. RAFT.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning ARvs. RAFT

Reference 14

Resolution: malformed identifier; arxiv_id_nonexistent, observed 2026-08-08T10:21:59.630842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ab32ed9-a0a5-4865-a4ae-475e53e3017f · outbound

This paper cites an unresolved cited work.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Unresolved cited work

Reference 1976

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T10:22:00.355116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a16aea30-701a-40cd-89e3-a7da0c31e87f · outbound

This paper cites Toto: Time Series Optimized Transformer for Observability.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Toto: Time Series Optimized Transformer for Observability

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.312083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47321af6-6dd7-46d5-b30a-c9fcb4911042 · outbound

This paper cites an unresolved cited work.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-08T10:22:00.437338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54b12895-8ad8-4145-b0ce-faf5178e3eee · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning In-Context Retrieval-Augmented Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.345421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e8ad60-e196-48ff-93be-c39d53325353 · outbound

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

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning Chronos: Learning the Language of Time Series

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.305547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84171a31-99dc-413d-9f91-f571fbb508ed · outbound

This paper cites In-Context Fine-Tuning for Time-Series Foundation Models.

Align-RAG: Alignment Is All You Need for TSFM In-Context Learning In-Context Fine-Tuning for Time-Series Foundation Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T10:21:59.323961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.