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Paper Citation Record · LEDGER

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2508.20437.

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

pith.paper-citation-record.v1
2508.20437 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:10:28.534989Z

measured 60 of 60 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:41.778963Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact5
  • verified fuzzy13
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3cb646c-a373-49ee-8135-410f66081c10 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating , " * write output.state after.block = add.period write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-05T15:10:28.249511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.249511Z digest=sha256:7d50aa44baa2dbc777fc276d2e2c3bd6e3632b0e98857e2d5d5634f6115eb641

Observation ab8ad16f-074d-4179-8b33-23551575ca58 · outbound

This paper cites write newline.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-05T15:10:28.254781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.254781Z digest=sha256:27b7ceca489e953915c6fe22387613d1845097a091b3f3f53ebf0d746ad6c60b

Observation 06b06fb9-51b6-4346-aed5-2a82449492e2 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-05T15:10:29.584799Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.259800Z digest=sha256:146cd1f0079b343963bedad560cadd7d2c4f8e22c71d93cbeeaa93d32ed7b87e

Observation cbf8f79e-0c00-4e19-b86f-67a9302cd74d · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.570803Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.264847Z digest=sha256:eb15c748c61e6a1bd894db5d09578b69cef51bf36e61f255dc6ee8a4c862b443

Observation bdd2ec55-a5d7-44bd-b4da-135518ecf3ba · outbound

This paper cites L.; Zippo, A.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating L.; Zippo, A

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.554596Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.270044Z digest=sha256:3573eb1e9fd510989e402d9e6ec4545c586aea0cf41900d4c0dbf6dbfa76e440

Observation 862233fe-fc94-4552-9d56-80bd472e4635 · outbound

This paper cites Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

Reference 6

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verified exact
local_arxiv, observed 2026-08-05T15:10:29.049223Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.274943Z digest=sha256:73be7bda47cc20c73a93218e4e2742d8972881a57ef3f83361ddfbd5cb7b9668

Observation 7bb5c020-886f-4f39-bae1-f27a53b676df · outbound

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

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Chronos: Learning the Language of Time Series

Reference 7

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no resolver link, observed 2026-08-05T15:10:28.280240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.280240Z digest=sha256:abfe751635e707fc79e719f68d69cbee75721ae81add7b3502c9e49d0fbd0841

Observation 632b986e-adde-4527-a15b-1c993d282899 · outbound

This paper cites B.; D \' az-Rodr \' guez, N.; Del Ser, J.; Bennetot, A.; Tabik, S.; Barbado, A.; Garc \' a, S.; Gil-L \'o pez, S.; Molina, D.; Benjamins, R.; et al.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating B.; D \' az-Rodr \' guez, N.; Del Ser, J.; Bennetot, A.; Tabik, S.; Barbado, A.; Garc \' a, S.; Gil-L \'o pez, S.; Molina, D.; Benjamins, R.; et al

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.540054Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.284993Z digest=sha256:46981a0ed0def9c4dd2ce21507ef1647b5acfb9f6f75b9d908d91c4740ff6c5d

Observation a381d317-988f-440b-9981-becb162ec688 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.525909Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.290269Z digest=sha256:bfb9277334da22bf7b7c332959bc835010670c7952c1d1daa7828352682a85f6

Observation d28dd7bd-3e37-4f9d-bbb1-ee7e8d37f8fa · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.510946Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.295060Z digest=sha256:81a4df6894496b138419b27f98e5b49836e4bd3e64cd15695bcd0b98656f9f76

Observation 171af79f-27e9-4b01-8bcb-706ca555e381 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-05T15:10:29.497148Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.299867Z digest=sha256:ce8a7168a62d043427f5a943a0ac28537e2a01565af791658b8fe2156ea3b22a

Observation 94b5f497-58bb-4c6d-9d0d-ed106294dbb6 · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 12

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no resolver link, observed 2026-08-05T15:10:28.304185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.304185Z digest=sha256:8c3f47802d2ecc4ce616af8fc0643d6b05876977889a97d7aeb079e3cf378ff8

Observation 38858eaf-3bfd-4514-bd40-0c0699d140c0 · outbound

This paper cites B.; \.I can, \"O .; and Bulut, E.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating B.; \.I can, \"O .; and Bulut, E

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.483421Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.308951Z digest=sha256:52dd77a40cb97544c7100f0445066414f8120489576d1957d2e8d4b603b3bb15

Observation 9c3a197a-d5c9-4b55-9d63-fd78cd3429e0 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.468107Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.313053Z digest=sha256:10d2cce635a392c667f288ea99d52dc9c54f705bb2870a4470ce9be570d40df9

Observation bfd55fde-9238-432d-b190-a0525ec18c48 · outbound

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

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating A decoder-only foundation model for time-series forecasting

Reference 15

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no resolver link, observed 2026-08-05T15:10:28.318009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.318009Z digest=sha256:0040086c322846b1e0d7c939b1c59a47241f4ef762093c3feedeb03bbca4d890

Observation 9c1b3b8c-e1db-4743-ba9e-c2f4412d6523 · outbound

This paper cites H.; Gifford, W.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating H.; Gifford, W

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.453511Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.322402Z digest=sha256:7993ae05e66f321b12ae650f2404d2bafb2700476e0ffa7245b2934b0902917f

Observation efdb51d6-5c84-42fd-a638-fed69642fe3d · outbound

This paper cites Do We Really Need Deep Learning Models for Time Series Forecasting?.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Do We Really Need Deep Learning Models for Time Series Forecasting?

Reference 17

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unresolved
no resolver link, observed 2026-08-05T15:10:28.327471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.327471Z digest=sha256:ddab1c27a1eabf43cd504a8ff5c49fc3f97663107e6235f8e187e4368593daea

Observation 7792c090-9eda-4c44-bece-1d8cce6c748f · outbound

This paper cites TimeGPT-1.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TimeGPT-1

Reference 18

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no resolver link, observed 2026-08-05T15:10:28.332238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.332238Z digest=sha256:410ce3b4e7f083d61e964ce2d4662e90acf43d96ca82da0719e0f13d406073b5

Observation 749defa8-d920-4b06-b943-53bbc87f95dc · outbound

This paper cites Monash Time Series Forecasting Archive.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Monash Time Series Forecasting Archive

Reference 19

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unresolved
no resolver link, observed 2026-08-05T15:10:28.336847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.336847Z digest=sha256:e30bb668eb7e03bdffd70761bdea917767970ea2f5b2387ee972a4e3e8eaeab8

Observation 27bf8389-e1e6-404b-a284-9ae33396a162 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating MOMENT: A Family of Open Time-series Foundation Models

Reference 20

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no resolver link, observed 2026-08-05T15:10:28.341135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.341135Z digest=sha256:21549a4cc26ac84d0c65142aad2ad16f1f133cc11772606a22d11ddd76e8940a

Observation 0ea86afc-ad40-4e8d-8ce8-e1561e51518f · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.438771Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.345444Z digest=sha256:826fc01d0e8e199dba7bad8f06a7baa2f1fcd0c790239fcbd0f5553112339b56

Observation 179fbd9b-2ea9-441a-8382-ad2f8ba4161e · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-05T15:10:29.423989Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.350844Z digest=sha256:4edc9b2480dd3edc4787574fff433ad1ccc7e68c6653ddf6d27af0259be8e549

Observation d8b25531-1aec-4e1d-ac94-3746ffb69bc1 · outbound

This paper cites R.; Mueller, S.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating R.; Mueller, S

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.408662Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.355238Z digest=sha256:c658d245d0a3ea25c98f94acc38c8932695f1c15fbf038ec43b1b6f2f9cafb0f

Observation 283936e8-366a-476e-a652-16b012e69185 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 24

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.393432Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.359729Z digest=sha256:622fd565bcfc0af43cf9e1d304a4a25326f282e900846b15399bfc3c9b121483

Observation dc997110-9afa-45dd-af4a-b18c13227ced · outbound

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

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 25

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no resolver link, observed 2026-08-05T15:10:28.364351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.364351Z digest=sha256:327e721332fd45d869535a89b1b965020dbbe98bb19d760db911b271d5b845d5

Observation 4abbcde5-99aa-4128-9ce3-a991f48c6356 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.379069Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.369225Z digest=sha256:cae76fc28b2d7ee2beab4661c5ab9daa107920820c3c2323c3e4e0079d723cc8

Observation 46e8f3f6-066d-4626-8c31-13338547e38b · outbound

This paper cites L.; Zeng, Z.; Srivastava, B.; and Valtorta, M.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating L.; Zeng, Z.; Srivastava, B.; and Valtorta, M

Reference 27

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verified exact
raw_fallback, observed 2026-08-05T15:10:28.905571Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.373664Z digest=sha256:97e6ba0a0bae7d86951162c73a449466a2b533198dcb2e61fafd932e8dbe7673

Observation c0fdb059-e6d1-4e2f-a2e0-524b2e6ad7df · outbound

This paper cites Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens

Reference 28

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verified exact
local_arxiv, observed 2026-08-05T15:10:28.831805Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.378744Z digest=sha256:04f3baa2fe0a246cfefd3ae32f4eda0d2d11e97d7adb175a249a8b7e34d72d1d

Observation 7b4c0db9-6370-44bf-b328-8cfed47548df · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.363783Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.384109Z digest=sha256:8b5732a6c684fe0af7b7e285831eb6645490e9a728962d8881ff1abdbba088a9

Observation edc422d6-8c85-490e-aef2-90899bfe7f4d · outbound

This paper cites L.; and Srivastava, B.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating L.; and Srivastava, B

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-05T15:10:28.807753Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.388381Z digest=sha256:6584937b2392af2d008d582290e87369284b7b701bdfb341ffecb9ac8d6658dc

Observation abdd43b4-0af9-4c26-8c25-de9ac25b2d81 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-05T15:10:29.349082Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.392821Z digest=sha256:9fa317330a805c3f4b714a546d789465107cb5ca3f3244373e2968c1a0a51cdb

Observation 1d75a0fd-b357-46e5-8b9e-035dff3d2e1f · outbound

This paper cites M.; and Lee, S.-I.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating M.; and Lee, S.-I

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.334991Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.397256Z digest=sha256:e899f1e07301438aaeb32749f123d7d1ee9380f2cd444781a0b60a9c7ff51ce6

Observation a16a3520-4807-4d8b-b3b4-c2b4f8b477f7 · outbound

This paper cites K.; and Kalita, J.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating K.; and Kalita, J

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.320277Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.402390Z digest=sha256:afe9a96003f8e1aa0e1d77c3dd753c67046692aff56dece34198ea5795388b6d

Observation a3544857-e4ec-4d01-9e2c-e45a3e8983ae · outbound

This paper cites P.; Adji, T.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating P.; Adji, T

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.305257Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.407115Z digest=sha256:9100e61b2e3423ae6d0a5852985d9c3e2a6b40f4332eafeb87c16225ca3a5d20

Observation 43312b3a-fd56-45de-8ac0-008786fb2a0f · outbound

This paper cites E.; Higdon, B.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating E.; Higdon, B

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.291066Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.412117Z digest=sha256:79a0f8781fa9b93b07b8f084d8974f0cbb642dfbbbcdf0c360be7d7068b54103

Observation 61ee23c8-cc56-4644-9c5f-a71f49f93403 · outbound

This paper cites J.; Appajigowda, C.; Srivastava, B.; and Johri, L.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating J.; Appajigowda, C.; Srivastava, B.; and Johri, L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.276122Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.417265Z digest=sha256:76cdb1ba32517a1c4c92860a95f40e7fa71f5edd5e332b7056c1a9b8c002c757

Observation 587b03b8-c22e-4647-ad4f-76f703df6927 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.262137Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.421747Z digest=sha256:7a5f4c0cd0ef111daa8d2e89afd19af4f6273e92fdb1dea16cb0a59d5cc6d98c

Observation 45f06edd-249e-464e-802c-8b7cf3446818 · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.426742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.426742Z digest=sha256:6f3dcb25669dd9344011f33ec1558da871ab280154a96864e9cf4bc547c18581

Observation b19d3330-cd41-49a5-8f3b-247c04ebcd31 · outbound

This paper cites TsSHAP: Robust model agnostic feature-based explainability for time series forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TsSHAP: Robust model agnostic feature-based explainability for time series forecasting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.431920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.431920Z digest=sha256:1485c7ce83e75457c8ba51e9d35a64764ffa0a95503628743642367db39765d9

Observation 87eb7de1-2b17-4fe4-9dc3-041817411aab · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.436321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.436321Z digest=sha256:73ed3dcbd5a87101bf91eac713417958935eb122e266a13a97cf66b23b8f975d

Observation 16905bdd-2e0a-4ff0-ab61-14cea0757646 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.247679Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.440804Z digest=sha256:3ca602b3fa2de6cc95539004b7419f5b9514190f654ff45b014c50f5970f35bb

Observation 48ab8073-ddf6-48e7-9990-72b3fc3144fa · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.233491Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.445487Z digest=sha256:e0c97d6afb163d4793ab40b8bce4a732c05a086841a74c6339ec8ea0f1761c31

Observation 92e66810-28ad-488d-86cf-e33e96a99b3b · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.219520Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.449857Z digest=sha256:1143643d244d7e24818775c3e659442ef0e10cec10f15078ffda5bcb3491e48d

Observation 673abc72-2626-4d82-8e61-bdf4aa3c893a · outbound

This paper cites TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:10:28.661824Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.454542Z digest=sha256:74e6b132ecfbd89c668153afcfa130aa13458e4a771707c8087ff265bf5bed22

Observation c705e820-c980-4254-a979-37e1e44aabca · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.205770Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.459921Z digest=sha256:114ab863035c3e653549c971a15ad72763f78ffa345a4d021b0d9b99f659e1a1

Observation 7c6bca8c-0f5c-4f6f-8b02-b26e3b922ef3 · outbound

This paper cites H.; and Stoffer, D.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating H.; and Stoffer, D

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.190763Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.464286Z digest=sha256:09132cb4b0318981246aee6f01ce6ff0fb197245178c9b7735e5d86d487c140d

Observation 142bf933-db56-4e86-8255-5d17c7b58079 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.176275Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.468751Z digest=sha256:85f7adf0bb427e6bf3856fd1945ec14fe603f1f4d44d8702b945971b45851dad

Observation a204b921-2ff0-4aaf-a01b-e11aa0d215dd · outbound

This paper cites M.; and Speed, T.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating M.; and Speed, T

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.160617Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.481884Z digest=sha256:cc2362511999de3a70bfd78ed1a3a2028ad871e80f781028624c96ba895cad84

Observation 02e7e736-d3b5-4e11-9ac9-5c30d1d153fc · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.146133Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.487129Z digest=sha256:f0a8c8183d3433ed31a9e3378968a975fd057e9f0b743fc172a2b50e9d666886

Observation e46a122f-dbf1-4ec9-8bf9-999915d7c726 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.130847Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.492325Z digest=sha256:5b5b6e1f687cf3edd24ef71f243fa3b20e4b316dd8dfd02e2389f169e13e6905

Observation e6a4c73d-093e-495a-b4ae-05a64bedfcf4 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.114762Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.496800Z digest=sha256:671eafb501b5b1c32dafde090902a7b6b475a4a4b2bdbf43d52a167e173b54dc

Observation 23a10962-9c52-4202-a534-4b28cf59f915 · outbound

This paper cites TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.501093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.501093Z digest=sha256:a2e46482756df846f153112206428859f8f6fffdccbd9167e2a7514f7cf46e64

Observation 8e1c3b8e-7350-44dd-ba91-93171d17d2eb · outbound

This paper cites U.; Islam, S.; and Khan, R.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating U.; Islam, S.; and Khan, R

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:10:29.099063Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.505862Z digest=sha256:3fd586157621db42edf7873207e2427787c788c9a4808518480fcd708f57e640

Observation 8489faf2-bf24-41ab-ad3c-af443f50f1fc · outbound

This paper cites Retrieval Augmented Time Series Forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval Augmented Time Series Forecasting

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.510372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.510372Z digest=sha256:8f95e2f3af8941f345a530a3d54c2f0d1db9ce318c9cc56285f8e671ec6375fc

Observation ce396509-4cca-4a1c-8793-2c01ab250045 · outbound

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

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unified Training of Universal Time Series Forecasting Transformers

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.515084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.515084Z digest=sha256:700fb7e8008e5d5edb549eae10a7e082c1acb7db35078ea95226cdd45fae27ad

Observation 7e173a8e-6bc8-4692-801e-31267d6edaa7 · outbound

This paper cites Retrieval-augmented Large Language Models for Financial Time Series Forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Retrieval-augmented Large Language Models for Financial Time Series Forecasting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.519978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.519978Z digest=sha256:087268e3a454f1385587c38af8d36b494333d8c6b57b0f8968379ca72b67feda

Observation 6d23b671-12cb-41d4-a809-c2823b185b3f · outbound

This paper cites Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:28.525513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.525513Z digest=sha256:9b94ec411430852a6309378be8566a6668dd3daa886b25ef95c3b8d7ad4a63d3

Observation 17af6c23-f41f-4918-980c-0964f0c852f6 · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.082433Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.530737Z digest=sha256:6ac04fe5ef4bee427e8dce838aa3e56805c8b8d984b81eacdb225322722920f1

Observation a2b6224e-4704-4184-ba63-8f7b63c8f12c · outbound

This paper cites an unresolved cited work.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-05T15:10:29.065806Z

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.

source=arxiv_source observed=2026-08-05T15:10:28.534989Z digest=sha256:a3f500ecb93b799e85a4f1f65b4a379053ac4bb402f0f09eab66ee9112b71eac

Pith citing papers

Observation 0ec449fb-6c70-4cf7-aea1-dbe087583020 · inbound

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting cites this paper.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:41.778963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:16:41.778963Z digest=sha256:a74f29214b62600d5312f50537e087dbdce783cbb1c6444e496704ce6550be10