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Paper Citation Record · LEDGER

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks

As of 18 July 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2604.08400.

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

pith.paper-citation-record.v1
2604.08400 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:06:54.789115Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-18T06:30:57.431901+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:59:14.626274Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T07:04:21.382506Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ecd9857-f4e7-4ff2-8fe9-4b47f8bb65fe · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:57.700637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:5864d6dc5161af741e7c68ad1099551386d2f1bbce5086be06867145ec2c20c0

Observation fc2fe461-e430-4b9a-b25c-f32364f5f563 · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks Chronos-2: From Univariate to Universal Forecasting

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:20:36.981071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:215c381067ba97c6539703d22fc0c855702c959deba5b8614f41667943472ef1

Observation 0e11d4c6-15d0-446c-8f71-eb03f69f263d · outbound

This paper cites B., M¨uller, S., Salinas, D., and Hutter, F.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks B., M¨uller, S., Salinas, D., and Hutter, F

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:35:57.689404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:e3817dfe3f17b05f1b46b49877cbc02279d93848bcfc4acc8c6bd06945602db7

Observation 67e81ab3-3669-4d74-96f5-fdee11ee1dea · outbound

This paper cites Data Mining and Knowledge Discovery33, 917–963 (2019).

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks Data Mining and Knowledge Discovery33, 917–963 (2019)

Reference 5

Resolution
metadata mismatch
doi, observed 2026-05-10T21:10:48.073998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:76101fbfa3490e2412f7ca9415f6445b896c78530c3c9bf15196b82cc83c1e74

Observation b68e8d47-ad2a-49eb-b4b8-a755e846a73d · outbound

This paper cites Philo- sophical Transactions of the Royal Society A379(2194), 20200209 (2021).https: //doi.org/10.1098/rsta.2020.0209.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks Philo- sophical Transactions of the Royal Society A379(2194), 20200209 (2021).https: //doi.org/10.1098/rsta.2020.0209

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:10:48.090601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:7a45471ce4599c4103c2057f303da04ea9216048c35b5f82e54f8196771bb93b

Observation a1d9a55a-3e4a-4128-a3b9-6894ca906025 · outbound

This paper cites Christopher Bishop.Pattern Recognition and Machine Learning.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks Christopher Bishop.Pattern Recognition and Machine Learning

Reference 7

Resolution
verified exact
doi, observed 2026-05-10T21:10:48.070703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:04328649fb17cf737af57de382fe4e0d6025aaeba463b2f4683d3eddc2d131fc

Observation dc41ea77-0797-4fb9-9865-402a14aa1e48 · outbound

This paper cites While our standardization strategies prove beneficial (Appendix E), our approach demonstrates a perfor- mance deficit compared to TabPFN-TS (Table 1).

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks While our standardization strategies prove beneficial (Appendix E), our approach demonstrates a perfor- mance deficit compared to TabPFN-TS (Table 1)

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:57.696282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-05-10T17:06:54.789115Z digest=sha256:4fc58ced9ce3bf698f50d92f3771ea8fa07669f4961563a5da119dd6527c5ed4

Pith citing papers

Observation 0e78b6ce-7af4-4adf-8612-3aba2c2f331f · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:04:21.383875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.

source=pdf_text observed=2026-06-30T06:59:14.626274Z digest=sha256:358c36bd69258cef84b9b61c775e9eb2fed452f33edb58019ce0a585d1723f89