Paper Citation Record · LEDGER

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.07640.

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

pith.paper-citation-record.v1
2607.07640 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T04:31:40.284085Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

verified exact3
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82dc9b9c-fdb8-4f74-8c4c-5b64c67b9e89 · outbound

This paper cites Introduction to financial forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Introduction to financial forecasting,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.889834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6ec6188-4022-4f74-8d96-3aafaf74d4f5 · outbound

This paper cites A closer look at memorization in deep networks,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation A closer look at memorization in deep networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.891715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36af690a-cef5-4eb3-add2-d3dd8261d0e3 · outbound

This paper cites Changing dynamics: Time-varying autoregressive models using generalized additive modeling.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Changing dynamics: Time-varying autoregressive models using generalized additive modeling

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.888198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d581f7da-fa76-4da2-a5c0-32ca06bbd651 · outbound

This paper cites Multi-head CNN- RNN for multi time series anomaly detection: An industrial case study,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Multi-head CNN- RNN for multi time series anomaly detection: An industrial case study,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.893502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8959aca5-0614-4f5e-875c-264828b831be · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Recurrent neural networks for multivariate time series with missing values,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.886539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e646119b-45e3-4c42-84d4-1497ce66a4e9 · outbound

This paper cites STL: A seasonal-trend decomposition procedure based on loess,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation STL: A seasonal-trend decomposition procedure based on loess,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.881131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df0ad72b-74f3-412b-a8b9-74b0820c9856 · outbound

This paper cites Predicting the future by retrieving the past,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Predicting the future by retrieving the past,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.884552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74ea599a-2b03-455d-a28a-c29d268ed958 · outbound

This paper cites SAITS: Self-attention-based imputation for time series,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation SAITS: Self-attention-based imputation for time series,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.882827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 646c4c01-1d80-46cb-a1bf-862a83c6ff73 · outbound

This paper cites UCI machine learning repository,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation UCI machine learning repository,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.895044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffdb3d80-5318-4903-80e6-407dc9ce9874 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-09T04:35:57.522479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c328d315-41ab-4c2f-b658-e42859c348ce · outbound

This paper cites Missing value imputation for multi-view urban statistical data via spatial correlation learning,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Missing value imputation for multi-view urban statistical data via spatial correlation learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.896768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8140c2bb-412d-473e-9526-1b23561867aa · outbound

This paper cites Retrieval-augmented time series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Retrieval-augmented time series forecasting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.873820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95297865-6f75-45a6-976d-90147bf52fa0 · outbound

This paper cites Reversible instance normalization for accurate time series forecasting against distribution shift,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Reversible instance normalization for accurate time series forecasting against distribution shift,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.875628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36ba4ba7-963a-4578-9854-0837c57a385b · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.867248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae583d47-a75f-4cf2-bd90-68f135f90748 · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-09T04:35:57.526331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87a38443-2a2f-455b-bde8-4569b8f75e5b · outbound

This paper cites Retrieval-augmented diffusion models for time series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Retrieval-augmented diffusion models for time series forecasting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.872044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3fcfb995-9fd7-4fc9-a7f7-c9d0b7035734 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.877530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dc4be2b-3cf7-4280-bd45-3e79e718a4f5 · outbound

This paper cites ModernTCN: A modern pure convolution structure for general time series analysis,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.879402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7de73e1f-6ccd-450e-a31e-342d4f5473b6 · outbound

This paper cites Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T04:35:57.530299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50b2c535-b63d-467f-bf75-74b66416a02a · outbound

This paper cites V ARDiff: Vision- augmented retrieval-guided diffusion for stock forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation V ARDiff: Vision- augmented retrieval-guided diffusion for stock forecasting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.898486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91157ae3-5cec-41e4-96f7-89477c7d050a · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation A time series is worth 64 words: Long-term forecasting with transformers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.863819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11b0bdd7-16ba-4bdc-8ad6-db8a5b1f20b1 · outbound

This paper cites TimesNet: Temporal 2d-variation modeling for general time series analysis,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation TimesNet: Temporal 2d-variation modeling for general time series analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.865561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32929326-bf3b-4141-a2e3-cd38ada1d6e9 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.862159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15ca9f41-6878-4156-971a-0ca42d395177 · outbound

This paper cites Out-of-distribution generalization in time series: A survey,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Out-of-distribution generalization in time series: A survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.858700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eec3524-0468-4d2b-95c5-7478b7f04f03 · outbound

This paper cites Glocal information bottleneck for time series imputation,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Glocal information bottleneck for time series imputation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.860420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa588d44-9c1e-4630-9d02-9726b5a3dc48 · outbound

This paper cites Are transformers effective for time series forecasting?.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Are transformers effective for time series forecasting?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.855188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8365fad-eb62-425e-92d5-ab44de2cae0a · outbound

This paper cites HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-09T04:35:57.519174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2c3460f-45eb-4faf-a5db-2abc5e59a3b8 · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.856907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation abc7d492-7b7d-405e-af68-5e48233bb6bd · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time series forecasting,.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Informer: Beyond efficient transformer for long sequence time series forecasting,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T04:35:57.853334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.