Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:723a94724d620e4287e64f632262b5d149cf85efc954e35b2e7c22c8fdfa4ab6

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=sha256:5223100101ec69efc70eee6dbdc723b6d072cf4931ee5f197a528b951ff1e7fa

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=sha256:9d62d82eae465c22c8b9dc93c4ef48000fb71f52b8354ec119fa6c6df3c1a111

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.603345Z digest=sha256:d48770a48d0f3bccf4ae071f5fccf16af094af1afed568bbcfc9089df6042f90

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.651925Z digest=sha256:21a3a0a705da6c5ccf70728e95a7e531532daf61235bc64c8cacdce1996ae3fe

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=sha256:69663e3ef288dac8405927f4dee2b3667dde6edfc78608e452d846ec278a8e1c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:06.928728Z digest=sha256:9d5d2d622d26beee455cb7b639a7174ea10a4b53c40d16db89d3ba4c0d3e2d40

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:fae342efa6f80e4ae5d4dfc0da5e93b7805a1b7d013ade0251c3f5232be189b2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.198774Z digest=sha256:3455fed718a48336e75d295ab21b42bf5fd1ccf516a6953246ad382e02d00810

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.271395Z digest=sha256:a1bf65ac80e43042b71746ecb58e80713ac3a5c6e440e3b804d91b53ebebbae4

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:b2345e11e551720fe0640237acbf07f4cfa61aa61084cc42b85bc628e4b55408

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.427058Z digest=sha256:51a52b19d3eae5d6c37ed3e2e9aa4c8064e0e891697d4d0bfd2c5ba0c1fa5986

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.613094Z digest=sha256:0f9d91782a98fe3892217dadcdeb0c8efbd69a842bda50610f79dcd8aeb4c5b7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T17:12:07.617673Z digest=sha256:0f26aa5989c81faa923edc62c989b6214dc1043472139bfa3275dd8933cdebd3

Pith citing papers

No inbound Pith citation observations are available.