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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.259800Z digest=sha256:cec393cfbcb9fc734866e5572f418b719d6590fb103d3a9eb4e563b65d50d4bb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.264847Z digest=sha256:27c465a57177116e69442596df18419923f5aba8769e39ed8a54f80f663c1e2f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.270044Z digest=sha256:6d1b4da09d4e8780dab44c75b873b19875f597a59c693e32e4e55bd3c6b6a09a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.274943Z digest=sha256:d839f0a4e3148523632be55d2937b56b8bf09b6283c193413c9d0ae2601c6859

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.284993Z digest=sha256:8eb81890737c57fb43c02cdb87a9e7dd30f4352d65b587f464c1908595c46cc3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.290269Z digest=sha256:5e42a907fdf52ae3e02c6613a549694926b6edf4437d8b0b14a603d96e9e218e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.295060Z digest=sha256:858ceb4ae4d2c1d6f49630e8c04359713a6ef6ecffb3e4378b58c77d0c13ac39

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.299867Z digest=sha256:ac1f22efd5f7b067e3a0f309962eed889517c64e62c29f57f4fad419ba4aea5c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.308951Z digest=sha256:6815d15484bd01db1e4dfaade756bc3632f0acaef6a9f8217e927ec1402f5ed5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.313053Z digest=sha256:8bda44ebbb0b6eb536e695d5d92fd573a89dfe52d96547e10f40764b3e69bf07

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.322402Z digest=sha256:b55fc45b5e17806411571b485c31a54dac49e48aaf6f0c6670cc50e59d29418b

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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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=sha256:3ec560a907f05860c95629509da41755e0856f249e073663bb3ecf0d709335b7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.345444Z digest=sha256:4813a3e4255f8ce228cf9edecb3ff4bb861d4babe4bf27988fec6055b107dc6f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.350844Z digest=sha256:d3a05455ee6c6ba6c29afd97e0bf4e609ecc810482c1dd897ba292a68e160c6e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.355238Z digest=sha256:16712243c7ccbadc7393ec917db837bba79c5d1c0ecd4ae1b1bbb12caa808a3a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.359729Z digest=sha256:f5f57c3827bee4660d0e087b2a886830cf9440340d4bb1b84878ab59a0247b98

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=sha256:9a75bfd08b001f12325decaf837b89c1bc3e81ddc93f3f69d2696488f5b58b84

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.369225Z digest=sha256:df328ced3cb417172abbb2f9788bd0dad1a3d6b09ce3db394b5b96bfa5daa8ec

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.373664Z digest=sha256:6cd7f7fe6a42e9a2160af3b65b3761bab1487fb66fe645f5f190a3ca9bfc4abe

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.378744Z digest=sha256:5156a42386de81d176412d0a9a76d3f3d3c12baa0a72456bfb6612375e402ed3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.384109Z digest=sha256:2b9da5cf87b19249e33c2ad967c74c58c31b80dd90a8bcd19eaad95c4f18fcf5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.388381Z digest=sha256:2ddc8a8f4a242828ff808be8741d0f446a9ff0dc420eaf9bcc517520944dec4e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.392821Z digest=sha256:6662ec4aa6aac7f402e48c5f10ea603a6cf1bd153540dbf37112a4cbc671310e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.397256Z digest=sha256:09e2a16b0f6483143ffcd5812d7db2af116b0701879e9b0f8631c5ccf6bd58b0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.402390Z digest=sha256:c47497f46146d860865148730ea8e8f1c5b390653c466458dd32551059f2a1df

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.407115Z digest=sha256:aea26863c2ce7972bb8ecdaf4c1a99a07099882516c9acde8a3d943dee356f94

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.412117Z digest=sha256:0f597ca1cbd7622ff5961f7d734cfafd77ddaf9b7177b932bbb96e7246c1144f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.417265Z digest=sha256:1382c784670a79d29d92fdd6d2ac1b7e1e47f6f4ed222352190b73abf76b1bfa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.421747Z digest=sha256:775bfb0a463a564f2f235537c7b0988261e71f73c0ff83d84cbe7a470a3682a8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.440804Z digest=sha256:4ecaac4706abae7120c6c8751b11852361ee2be5ef85412a1637d7b2dadb931f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.445487Z digest=sha256:4a448aadc871d61d8c481434f09ca29ff675001bd4cad55a0c993338d126d72c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.449857Z digest=sha256:16329d7474884c42c7d466398095f5833c31ee9af6be57fc630cd2c7afff95a7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.454542Z digest=sha256:e089458792ec958d54d0cce1624b04f46becf2baae49619bf537c87ad9f4567b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.459921Z digest=sha256:0b720ae793a955c9f0ceef39e1a4cb1ff175e64d17c1b6b45f7c1a4c77aa4225

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.464286Z digest=sha256:55032f7478e8e2618509762b3941ab21f9f09f32b37c23eaaf4e74160efb4ff2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.468751Z digest=sha256:404ffad13dbed9f187c746de59860ee36c1d9b50e70a99a68e9198c677a0905b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.481884Z digest=sha256:49524398a2e8b3179fdf1fce2e27401f82ea2ef78d9d395d5f2d9051fcdf2483

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.487129Z digest=sha256:f64de2f5c7b1e9d36b8d293f23dbc9d092e25dacdc1279fcb3716f0d332a2e70

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.492325Z digest=sha256:d2336414f435de4087e57660e10a88de76cb32f119160029c71f38a1958c5281

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.496800Z digest=sha256:0942485766eab2ecf8810a2fcb4812165ef3e8d97e317afba0a907b44839d976

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.505862Z digest=sha256:0437b36fcac13994f2c345b65823dad347b1fc5990dc5d7c4d9c25b48f74508e

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:e869f6e44b0854e1603229b9930e4eed4d2df1f4c0b5246f7951f3da19c0dd08

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.530737Z digest=sha256:30d847d79c148f44fb9fb8599d6688e536749d549771056675c2389ee4467741

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T15:10:28.534989Z digest=sha256:009be36af92fe98afdfc5044c8bc4b8bab264c074fb71dc8979632c3c95783af

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