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Paper Citation Record · LEDGER

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2405.17766.

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

pith.paper-citation-record.v1
2405.17766 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:12:28.196975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:56:39.877955Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b6d1d15d-5139-4b92-ab07-6360e72f84ef · inbound

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation cites this paper.

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T15:12:28.196975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:12:28.196975Z digest=sha256:45f016fba4f7ca342fd6653352bce4f129ec360ffd11f949f101b8b8fa3189bc

Observation f7b7e169-d678-4336-9d1d-2ccf8306ecd5 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-10T16:30:41.848888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:41.848888Z digest=sha256:ba5be2ce63386a7bf6260f6cc7efccee45595a7422211950b48dd9730e041308

Observation 6cc03f97-e43e-477a-ab99-71995627217d · inbound

PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset cites this paper.

PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:16.808758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:22:16.808758Z digest=sha256:b8413847e71e9be9724cd5aa84963eb7248098d4fd9fbd207e5b76350f5d7c55

Observation 5d99c15a-443c-4ff1-8e52-0cc165831e4c · inbound

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring cites this paper.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:52.953485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:22:52.953485Z digest=sha256:fea15a1f459e3cf597a73c5ba55bc3ab1f56cb2b1ec2554be85e2d69c1a6b561

Observation ba94c0c8-0182-4dcf-80e5-edb26c5082ae · inbound

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models cites this paper.

Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:19.408537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:22:19.408537Z digest=sha256:6f565cfda2e8ca8e7d99bf8699a807f8a811bf85d47621240f1c8506e0daf5ba

Observation 37923bcc-b821-431e-bac9-48b6b92fb27b · inbound

SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures cites this paper.

SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T03:35:32.749807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:35:32.749807Z digest=sha256:76ec587e650d2a257cb9b3b6cc8735b0329788d40b07fc379e6431fe86f78db2

Observation 6210ee2e-1610-465e-9071-64f3b2e42483 · inbound

OSF: On Pre-training and Scaling of Sleep Foundation Models cites this paper.

OSF: On Pre-training and Scaling of Sleep Foundation Models SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T20:21:01.247650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:21:01.247650Z digest=sha256:0a3cb48ed3317fe20175bab2bce16098d78ccac1d924095dca1f54353e94ae33

Observation fa83de50-95b2-45c9-a794-bf45b970c4c2 · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:53:08.524482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T18:48:40.813486Z digest=sha256:959350243d3b4b58f38e66f4a798e749d7f0605510e958a9ada575216c156305

Observation 90789f78-2e83-45f1-80bc-70f5ba9c4243 · inbound

Wearable AI in the Era of Large Sensor Models cites this paper.

Wearable AI in the Era of Large Sensor Models SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:58.101963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:35:36.541995Z digest=sha256:4e2bc84225a9bec2684e0f32366649a96d1494eef9d4037878b8933fcd3d0955

Observation 3cd4d327-a528-4d2b-b3ee-000bff4a9b3a · inbound

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens cites this paper.

OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:51:04.642284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T02:43:25.842048Z digest=sha256:e25af4c1bff522bf43186f7ad8cc8c9f0f6cd2e46e91a19eaa9bf9d03a3201bc

Observation 63373dd7-dce6-4515-b5ac-bd26ddb45659 · inbound

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning cites this paper.

Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:26:05.975451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T20:06:15.659662Z digest=sha256:c1a5877f4119e7300a107bc622edd6d9db645698be07578d083bbecd68fcba0b

Observation 52e54791-f72c-4461-9b76-720ff66aa1f4 · inbound

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL cites this paper.

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:01:09.220378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:20:00.793919Z digest=sha256:7742fdaad2c41d3b65118348dbfd97d48b1e2896e1cf27e49fd6b88a7207b371

Observation afc0fcf2-4936-415a-bd29-44cdf91289af · inbound

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces cites this paper.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:15:04.409378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:fc5ca3021eb09848a8b953ec399432853659747bebb9484bab26019f3d434ef2

Observation e3430a98-dee2-4290-8803-0cbc1896e17f · inbound

From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning cites this paper.

From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T05:56:39.879662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-02T05:52:55.818877Z digest=sha256:d97f02c4f8d1f7dd432aa1b2837440b6d39b1de85f7f7311a2c994703058904f

Observation 9fb617d4-2faa-49b6-bf79-423dc1a8dbbc · inbound

Agentic AI-enabled discovery across large-scale sleep physiology cites this paper.

Agentic AI-enabled discovery across large-scale sleep physiology SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T03:18:38.415062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:18:38.415062Z digest=sha256:d209985cc9c3ea28e237c393b360428bad7998d8f9b01fe5ccc6b3a13ca2749b

Observation 89f8c231-8fdf-47ad-994b-352a7c2cdd01 · inbound

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding cites this paper.

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T15:56:07.172753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:56:07.172753Z digest=sha256:7d682de19a4447432679c8e7bfd3a6396a3660135bf3ed9c3a0455a6c9b634fd

Observation 5f48aefc-82e5-461d-9186-5e76f7570d46 · inbound

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding cites this paper.

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:08.006506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:15:08.006506Z digest=sha256:b19cc95e33111ff3162d88938a782c026b45707411876f18447726e7290e7f77