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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 10 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 2026-08-09T06:31:02.800959+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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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:fcb67eeef64f289a80f8800181a3c6333f3f18782499685dad1739589d713c46

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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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=sha256:00c6bfc5fea977456f991fad563a20c360b7df330c5c3eb2c4a4f055b516328c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.259800Z digest=sha256:8ae857075408d0c393e313ab5a806b4cf0935b5e3da1471dbefb0204555138c8

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.264847Z digest=sha256:33612576b3e94d894f9892ae6692b331029a9c7e36ccfc5fe39a3c46eaebf13e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.270044Z digest=sha256:59bada3edd3932a1a4e53011b36313ef256744f938b9741ee42cc5f94cc23750

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.274943Z digest=sha256:f06e4a701aa10b670473ebfca5e6f90fa3398feca0c6faa59787d5203589dfea

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:f6ea9d6925c5da9e4b266293f3ad11751eff5e23e8650bdc98d8217b035424f9

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.284993Z digest=sha256:8e225c3a1f0fdcb2d5ce916025aaec757783ab9d661808f7068ff7175d1ae5bd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.290269Z digest=sha256:bef779214eaaecaca23c4e6f208d0054c7d7ac943ead5bd44e5e95103197ac5a

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.295060Z digest=sha256:8521676c226f81c97d67f6894ef50bd6426100e3a97cc9ddbe99c917e7b163e2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.299867Z digest=sha256:ccbf27baac88c9704465c7fb0aff2f5734816d21bac54c8b06b9f41d7db6ef49

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=sha256:341762a8cb8268d67216efde605785f23ba3397ce1681fe8bac0e9fb128d0dda

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.308951Z digest=sha256:4209f5b744e5c378ec3ff184883a4499da7f402d8d1f36e42bd186093473dee2

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.313053Z digest=sha256:283433230c3de5f0ffde2f1d8b1b12c98ad4ebc5080a7bb84b775c63498d1afd

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=sha256:4866da7ed1afa445b0978db308d50675c693da5d50a87680251a29e1ab89bebb

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.322402Z digest=sha256:825a3ab046ccffeda7078a96899f2d271bda7c64938795a6a7eab609ce7370d4

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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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:fa35f0b737381685f84fc44c2117135db84ac0e71b473372c76c2b9269d2c0ec

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=sha256:2137f37939abe324a9855bc9aeeb2536e8a2928edf1d32f15cf30bf0ae278605

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.336847Z digest=sha256:ac5bfd4d8e8e0b7fbc4adc9b0217a5bcb38dc1f42c27aa54cb240b967bf721dc

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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Unavailable: canonical work link unavailable.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.345444Z digest=sha256:0088d02745dfa4565d25589be4543b107deaf447ea88bc06dea19c6fee922638

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.350844Z digest=sha256:754130597102744b21f7374f1c9808c8653cd753ff351ba3fac884ea82eb45b3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.355238Z digest=sha256:63775f40dd6ba275dcfea57e7a4dc6ec248811c2683e69d000cace8656d14f26

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.359729Z digest=sha256:c878dbb39df1474434824b04634972bdb97702cf4de0e4c0321e22d7241129db

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:10:28.364351Z digest=sha256:9a75bfd08b001f12325decaf837b89c1bc3e81ddc93f3f69d2696488f5b58b84

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.369225Z digest=sha256:2e141fe14a9470de1a9e63b5f90d4aeae778deb177bb48d6f8efb539ba054796

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.373664Z digest=sha256:964ea72b5779d3f8bd5ededf1e0306322f9c305abedf8e5248adb368dcfd4a74

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.378744Z digest=sha256:5179381091b4d5ad536e9ce364788fe4c861455bec433f051d31c87f1c57c885

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.384109Z digest=sha256:822be54ade172a7bd4600a4581bf3bbe33fc46a7a2a90162460e977ade3b3c14

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.388381Z digest=sha256:c8ba1f3c89a45f06de3234862702c35aca4ebec9cdee32ba401b184bcbe4b62c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.392821Z digest=sha256:0183af54ad7ad205c78b3139a1a841c6ec615ec44a1c8e5f83b7b1bb5f839c47

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.397256Z digest=sha256:31300e8956dfecd5986bb98cf2099b9fd9df25915be6af468184d4e6f9e3586a

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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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.402390Z digest=sha256:34b461e602253666a75526294157300ed6e36b6556a3e96a02257afe8f1bc458

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.407115Z digest=sha256:1e023aaacd32e178c0c69b7127ef5fffde855359e930958bb1a64925f9b81ded

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.412117Z digest=sha256:26f661899d6de4f8450d237fa35fca049da5357da9c8cfe923bb55e936e29f35

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.417265Z digest=sha256:03539293f529f8468e5e790c628fa433a91d8bc00ae050a867377475bc68245a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.421747Z digest=sha256:843aa02ad7f026e2fd69767dbb6ad57b8834f0ddf514aa87253b73db21439964

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=sha256:3e15d18c56c6628b9cfbf0e0d20a77a67526540a572045eca4349b1ffc6f003d

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:da4212b444511bc3607e769f2cf016d1837175a8ff7a0e07395c50daaecd81c3

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:abc3121f2c04f3ea2dd139d78c3e93aefd8e85e9eae24c5dad975c16e77f6b98

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.440804Z digest=sha256:61085de7f4de200e5ff0c8a014bd6439498bd9e6df05526525eacfa1e69e85d6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.445487Z digest=sha256:1f7688127fb78085c787f396b4d6a5fc17baeb0c5a049d9eba912900e73df629

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.449857Z digest=sha256:12f2ac1be7b000304848107382eefd69152fe565890def57dc54366a25943d34

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.454542Z digest=sha256:3c24d06390e99ddff503c42d9131f929920dd448d4d8ddfd967540cab422f53f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.459921Z digest=sha256:9613e525d1ab0e66c7b6f2bfccf6474b8ebae12d8192a57a240255d36fd16d84

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.464286Z digest=sha256:369fed95cbf43886d7b9a0f860028cf32dd6b83e97e4859a75c235578f8158d3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.468751Z digest=sha256:72ade340a0ce7ca039383077e80c23a4df271c50f06163070593c80818a222ab

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.481884Z digest=sha256:862256f0aab591b99f3790d004af0b0a9a2db9956bc0d606358d6cb521818424

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.487129Z digest=sha256:22e9784e3fdd452310b77de0bbab99abf770e04dd29ccd17a9c1b4bfd3e3f026

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.492325Z digest=sha256:f318114da9b9aefe3113e2f23ae090d1dea1663c96148a018c70d8d0808e7f1b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.496800Z digest=sha256:298a47295c9f80b97b473b5577a9c030dc303f1ba66e4ddfead5c8e51d3b63ea

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=sha256:29847ce65bee72d7fe73a63efbab11875666d79e2349ac9008dda86544cc6ccb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.505862Z digest=sha256:c667b6bd10a7bc2f54bd6846cb481de7f46dcbb0a16c65d97c20196ff34c2696

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=sha256:4ec11925bb2876dbba4a0b7e1936af1cf6af302c8f1606a25c11e115c8d31d68

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:c2faa4c958f59fb96c320015b5dad3eb75ae4d80bf524fd84ea3b12dd991f499

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=sha256:639673af37cf187363381f27330c76dd7f83a5b662c1f60be5e9ea4d6f67fdad

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=sha256:9476e5ce26059517c08b4a08e0912de72b322eab7ef7b9711a365e40ef60872b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.530737Z digest=sha256:6959fa096a24e1eb7f72b3327297a429124a4ecef96c3191a116c6a00ab4b3b3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.534989Z digest=sha256:147a535d04d6a803c7e3d3dcda0269d1f5b31c5c0803cb17826ea617a6e95825

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:dff9f8f9c3330b721a24bf4e88b3e82b7edb9026a2a61ad32cff74681ec08ca5