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Paper Citation Record · LEDGER

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.10789.

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

pith.paper-citation-record.v1
2606.10789 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:55:15.627610Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

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  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13afefba-f01e-40b1-8572-1c53d6e51e55 · outbound

This paper cites Elkobaisi, and Kyandoghere Kyamakya.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Elkobaisi, and Kyandoghere Kyamakya

Reference 1

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Observation c4294ddd-20c5-483d-9da0-b7f40f57508f · outbound

This paper cites SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network

Reference 2

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arxiv_id, observed 2026-07-03T04:27:36.799723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6616a1de-4cf8-4209-aea4-c04e1e19f90c · outbound

This paper cites Deelaka et al.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Deelaka et al

Reference 3

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Observation 77443fdc-8eb6-44e2-8beb-4317ab249366 · outbound

This paper cites Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them

Reference 4

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arxiv_id, observed 2026-07-03T04:27:36.802183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a5664cc0-a27f-4cb2-8da1-22eed583e91d · outbound

This paper cites HARGPT: Are LLMs zero-shot human activity recognizers? In2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), pages 38–43.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data HARGPT: Are LLMs zero-shot human activity recognizers? In2024 IEEE International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), pages 38–43

Reference 5

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:5ecf3cdd91ff0a0b825455e1846be0477f9a6dd1b5d6ef2ee3eefe2eb5894a0d

Observation 8618ff80-2700-4840-b426-b6d08ec72416 · outbound

This paper cites ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents

Reference 6

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local_arxiv, observed 2026-07-03T04:27:36.797365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bd3ec208-97b1-4c44-bcaa-1df7db28dc28 · outbound

This paper cites SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition

Reference 7

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arxiv_id, observed 2026-07-03T04:27:36.794757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:c8f93c1f1e48e4dc75897a14ff3940a1394c8b8a40f70d4562259f1cbefe8aba

Observation 588ba004-e715-4001-af6e-fe3fb678f2a0 · outbound

This paper cites an unresolved cited work.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Unresolved cited work

Reference 8

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:d869ac014b71d450e15349877cd9e67f5dc959a06fa3e018bc7d7e2e4ab6f11f

Observation 622ccc06-9949-430a-b571-21220ee37ef6 · outbound

This paper cites Characterizing word embeddings for zero-shot sensor-based human activity recognition.Sensors, 19(22):5043, 2019.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Characterizing word embeddings for zero-shot sensor-based human activity recognition.Sensors, 19(22):5043, 2019

Reference 9

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Observation 934230a2-55b5-4fb7-acf9-aac2a3de9253 · outbound

This paper cites IMU2CLIP: Language-grounded motion sensor translation with multimodal contrastive learning.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data IMU2CLIP: Language-grounded motion sensor translation with multimodal contrastive learning

Reference 10

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Observation 923110a6-33b3-4c52-a86d-ab1b073fea35 · outbound

This paper cites an unresolved cited work.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Unresolved cited work

Reference 11

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Observation 095adb59-08fb-4022-8f3a-3f3ab0f7429d · outbound

This paper cites Radford et al.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Radford et al

Reference 12

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Observation def1d3da-d57b-4d0b-a585-80a90cb7eb9d · outbound

This paper cites Radovanovic et al.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Radovanovic et al

Reference 13

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Observation b0f9e2e7-fbd6-40bd-848d-878e8662c2e2 · outbound

This paper cites Reimers and I.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Reimers and I

Reference 14

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:665eadea434c3a4b9882370d21828da36bd9b2a311654a7d0c7b7cf1b4b45d39

Observation a142f2ab-df42-4dba-9700-5c5c124869f3 · outbound

This paper cites Reiss and D.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Reiss and D

Reference 15

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Observation bf407264-9566-4356-a49d-41a083b6e39e · outbound

This paper cites Schonfeld et al.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Schonfeld et al

Reference 16

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:0306124afc978570535599ccb654b880463e79dc542cc52e40465b4f8b3c7904

Observation f3e17a32-93ce-42df-81df-869b543ca434 · outbound

This paper cites Smith, David H.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Smith, David H

Reference 17

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:617c68a7744f6ff2783162746049874bbc1cf78521030e66c49dee64cdcdaffc

Observation d9ad0cdc-4de5-47b5-b03a-5cd123e8c769 · outbound

This paper cites an unresolved cited work.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:9fa4dba5dbf632ef411f2c8040860aaf2f56323288b3801db579f4acd5d779ae

Observation 336882a5-3cee-48a7-9541-0e0a65f32ee3 · outbound

This paper cites Lampert, Bernt Schiele, and Zeynep Akata.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Lampert, Bernt Schiele, and Zeynep Akata

Reference 19

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source=pdf_text observed=2026-06-27T13:55:15.627610Z digest=sha256:9f67919638b44461f817e358bf097d44406e866d234b8eb6081287ed79735296

Observation c6aacc1e-9867-4510-949f-3bd9e0e5d83c · outbound

This paper cites Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding

Reference 20

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arxiv_id, observed 2026-07-03T04:27:36.804656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e7d554e8-54c8-4cb3-9dba-c6bbe7a89f16 · outbound

This paper cites Large language model- guided semantic alignment for human activity recognition.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(4), 2025.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Large language model- guided semantic alignment for human activity recognition.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(4), 2025

Reference 21

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Observation b7b93661-6251-4803-ac5a-fdc5d6ef3705 · outbound

This paper cites Gupta, and Jingbo Shang.

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data Gupta, and Jingbo Shang

Reference 22

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Pith citing papers

No inbound Pith citation observations are available.