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Paper Citation Record · LEDGER

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.06966.

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

pith.paper-citation-record.v1
2509.06966 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:12:07.617673Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9075806-ca98-43a9-83eb-f17772c5ff13 · outbound

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

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Chronos: Learning the Language of Time Series

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:06.419990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:06.419990Z digest=sha256:b5fe4f16a2a107ed54d7cd62021fc552f2a82468b9faa3476f91b63a24e86921

Observation 5a76761e-7dc5-48c8-859a-371810c39b82 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:06.486604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:06.486604Z digest=sha256:47f933a27ef83b18a53c8916d561df28f639a0be4c3c9d4f6e125f4f2bb96676

Observation 9b43feec-2665-4cdc-89fd-47091e343e6c · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Parameter-efficient transfer learning for nlp

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:06.567836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:06.567836Z digest=sha256:76049d0fef2671d2e85bab0c4c77ad88ca1c94b5a0502ee0f9dc301fe158a27b

Observation 98d8a48d-31ce-49c0-9b37-ef02e09d2ae7 · outbound

This paper cites Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:12:07.748263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.603345Z digest=sha256:4efd6cace669792a19baa3f64b900907e27759c1001c5aa24aa086be7ca78829

Observation 46479b90-375a-47e9-ac7a-d5d5c28c965c · outbound

This paper cites Least squares generative adversarial networks.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Least squares generative adversarial networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:12:07.872144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.651925Z digest=sha256:f76a0edf623c7e7c04bb9e56aff2cd45eb75afd1c2253020408b09d063efdad5

Observation f518bc19-36f4-4b72-b433-455dbb236732 · outbound

This paper cites Scaling Wearable Foundation Models.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Scaling Wearable Foundation Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:06.804548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:06.804548Z digest=sha256:2b683b961302aadabf332bbad0db277ef9f9a2f5dc23af28dc0f571aa4b039a0

Observation f6bf6ed8-5dcf-4d1a-93d4-c5743f45b6f1 · outbound

This paper cites The strongly regular twisted $D_{5,5}(q)$ graph.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings The strongly regular twisted $D_{5,5}(q)$ graph

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:12:07.707092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.928728Z digest=sha256:24a503c3f22733dec9f99fbeece9694b789be7e54a1c82fa9a09eec4060de46f

Observation 8e524f03-e6dc-47f5-8ddd-3a8f6c3aefa1 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:07.074864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:07.074864Z digest=sha256:e75d1fc89ef387cdcb4c682c0c4d0181a34f3ab0c3f649897bb7dcf43ef3b7e2

Observation 585205d3-849f-4971-9d79-5f007035191f · outbound

This paper cites Investigating Compositional Reasoning in Time Series Foundation Models.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Investigating Compositional Reasoning in Time Series Foundation Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:12:07.663014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.198774Z digest=sha256:de276419d3aedf5312433316058019acb42f50bfa99fdbeb82dc5a285ed9d62d

Observation 7fae7dc2-b98b-4118-8c34-49c9f8daf850 · outbound

This paper cites Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:12:07.856162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.271395Z digest=sha256:79becc763508c33fd599d26148d03aeb59edada5f11d047256cd0e6547adddd9

Observation 7eff169b-62d9-4141-8973-7c2825fd560f · outbound

This paper cites Attention is all you need.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Attention is all you need

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T17:12:07.399405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:12:07.399405Z digest=sha256:9ffa7885f56f302d31fcc25a22cb26126cb5b8d1a0be2b80fe6599b794ce6725

Observation cb6e5972-4629-4586-ac48-93335cf03502 · outbound

This paper cites Comparison of raw accelerometry data from actigraph, apple watch, garmin, and fitbit using a mechanical shaker table.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Comparison of raw accelerometry data from actigraph, apple watch, garmin, and fitbit using a mechanical shaker table

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:12:07.830151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.427058Z digest=sha256:d3e61d38f64046cfcfa84a42f0e5334d8977a0cf756e789f266d90ce434e7847

Observation 278a1833-16b2-447b-a124-d7c65e9b0c92 · outbound

This paper cites Ts2vec: Towards universal representation of time series.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Ts2vec: Towards universal representation of time series

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:12:07.813727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.613094Z digest=sha256:7a62b07be44d64f6a2fd55f28dab1e66b20efc03544c921f6bfeea9552283a09

Observation 82762743-d264-4d18-bcf4-eb226e2a67c4 · outbound

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

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:12:07.799075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.617673Z digest=sha256:cd8956e20002d52c51692ebf2caaedffc406e1c96ff7ba825e836ea40e657c8f

Pith citing papers

No inbound Pith citation observations are available.