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Paper Citation Record · LEDGER

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

As of 9 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=sha256:450b2401d5c4c4ef5fe80fdafbb7cbd580a19b6aa5497e6a0312cb17f8cb37de

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=sha256:1ca4c60bd0204409c8cdc3af79295ca14b2325da14a54dacc2fc27886bad4614

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=sha256:10208bea506fe8b8617ee510594b6254bcce5c339be5ffd7940f8709660b2fab

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=sha256:4550ffec426de8d39026e1d089fc89e2053a8b51b7dcb55ed812fa3248e16349

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:ff6e6ddf5c0657bcb0dc9b3e3badf7496e54f17df4d48913d78648bee7c9dcf0

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:f8acd3340d6220c126c4697575584dc4e8df996915ca78d38faea66acc46d375

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=sha256:7f6854613ab730486f70038df12cbcecf118bb192f88965e5911dfabd0264d75

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=sha256:37d112fa73ee1f4d7d55d93f2998f8d66bca8d1f9192aa8f46de38853325fb57

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=sha256:9947c14b7d8bd2ecf82768bfd1c1a46f9984a2cd7bb2a44335fd52f0ad1d54e2

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=sha256:6f4ea0b69ade6feb9fe563bb9f495c865c877a2539ea354de43ecdaa2d010046

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=sha256:21e46f22cb11ff1097298e714e2629cfa3a3d4729fd2d16132a990b6ff7d12ad

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=sha256:511078ed70a0c5017289e63832d1841e271898ce906201086b6b645508e440f8

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=sha256:96b5ec93ac5e34c32a00619f21b41b88ff2689771029c93aca88b15a96311a8d

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=sha256:90345a030d989d83b4b997d2504c4e27a0679b6c9c4f0c90cf6c06184ae06910

Pith citing papers

No inbound Pith citation observations are available.