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Paper Citation Record · LEDGER

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling

As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2505.17987.

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

pith.paper-citation-record.v1
2505.17987 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:07.473627Z

measured 66 of 66 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

66 of 66 outbound references displayed

  • verified exact1
  • verified fuzzy52
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e84d09f9-ecb9-411b-bc57-53b7c3a30bef · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 1

Resolution
unresolved
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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.

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Observation bf5f348d-b6fb-44e2-b9f7-f618b90f38ac · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 2

Resolution
unresolved
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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.

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Observation 8ea0c3e3-26b4-4004-8198-608a6df77304 · outbound

This paper cites Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population

Reference 3

Resolution
verified fuzzy
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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.

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Observation d3d61473-1792-456c-bbae-67d08406b1c6 · outbound

This paper cites Lee, and Soon Ju Kang.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Lee, and Soon Ju Kang

Reference 4

Resolution
verified fuzzy
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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.

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Observation f93b5abf-c99b-4733-94e4-4ee22c21abf4 · outbound

This paper cites Gathering activities of daily living data for elderly care in network deficient environments.IEEE Access, 12:121144–121155, 2024.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Gathering activities of daily living data for elderly care in network deficient environments.IEEE Access, 12:121144–121155, 2024

Reference 5

Resolution
verified fuzzy
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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.

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Observation c959a52c-7db7-477d-9fb6-573f9dfe7775 · outbound

This paper cites A systematic review of wearable sensors and iot-based monitoring applications for older adults–a focus on ageing population and independent living.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A systematic review of wearable sensors and iot-based monitoring applications for older adults–a focus on ageing population and independent living

Reference 6

Resolution
verified fuzzy
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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.

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Observation 83e9f991-cb16-461d-ac6b-585d9c5ba296 · outbound

This paper cites A multisen- sor data-fusion approach for adl and fall classification.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A multisen- sor data-fusion approach for adl and fall classification

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:18.471460Z

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=pdf_text observed=2026-08-07T14:41:00.689316Z digest=sha256:56c2023f684690f765d0418c0ef1b0ff55bf74523f70183ab896b025969bf53d

Observation 8fe2d67d-004d-4954-8461-542d77a721f3 · outbound

This paper cites Fine-grained activity of daily living (adl) recognition through heterogeneous sensing systems with com- plementary spatiotemporal characteristics.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Fine-grained activity of daily living (adl) recognition through heterogeneous sensing systems with com- plementary spatiotemporal characteristics

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:18.180478Z

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=pdf_text observed=2026-08-07T14:41:00.820561Z digest=sha256:9f72d2728e9bcddc5f96a20153d425327c6e43493ed6278e2a37dfacf53e5ad6

Observation 7f834ccf-f977-4e4b-8dfa-54a646fb8458 · outbound

This paper cites Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:18.045227Z

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.

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Observation 15c4c54b-0a26-4145-9acb-6c8c8e5cf68d · outbound

This paper cites A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care

Reference 10

Resolution
verified fuzzy
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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.

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Observation 80a07a24-8152-42ea-af4e-b8abf7de5f6b · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:41:17.661477Z

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.

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Observation 0c54356d-eacc-4ed5-b7e5-f7d4b4aa7046 · outbound

This paper cites Vermeulen, Jacques C L Neyens, E.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Vermeulen, Jacques C L Neyens, E

Reference 12

Resolution
verified fuzzy
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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=pdf_text observed=2026-08-07T14:41:01.635257Z digest=sha256:bbbfd4864fa68cde1e768a89a96be34e10478ccc2646f4b12ab621dec46e8723

Observation 6fefea45-8d79-4f03-9a2f-ea8ef0f31025 · outbound

This paper cites Luperto, J.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Luperto, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:17.166325Z

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.

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Observation ac4114ac-4e8a-4f16-b643-d6b76d3670f9 · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:41:16.901898Z

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=pdf_text observed=2026-08-07T14:41:01.962174Z digest=sha256:9cf100aa98b5347905ae01c924d0eede39a10d530b2269b0a930b3eae04936e8

Observation f324fec7-28a1-4e21-b3a0-ee5b959e6c8a · outbound

This paper cites ElHady, Stephan M.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling ElHady, Stephan M

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:16.619514Z

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=pdf_text observed=2026-08-07T14:41:02.070561Z digest=sha256:8b55ff6adb39a5b2831d0b73046a10425921f2b38a2796423936cebccf154c6d

Observation 24127f0d-0cee-4fb7-a661-723dee31610a · outbound

This paper cites Casas: A smart home in a box.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Casas: A smart home in a box

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:16.394447Z

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.

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Observation 3c35c5bd-f553-4fc0-94af-a3ea3d3c62fd · outbound

This paper cites Aras human activity datasets in multiple homes with multiple residents.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Aras human activity datasets in multiple homes with multiple residents

Reference 17

Resolution
verified fuzzy
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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.

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Observation c3eeada3-b3fb-49a9-aec2-4d3b9ef15172 · outbound

This paper cites Accurate action recommen- dation for smart home via two-level encoders and commonsense knowledge.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Accurate action recommen- dation for smart home via two-level encoders and commonsense knowledge

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:15.868771Z

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=pdf_text observed=2026-08-07T14:41:02.734540Z digest=sha256:450e990695194be033eccadeef21d6b21883d5f2c83cdf6556777535e14efd0f

Observation c952808a-2146-4ca3-91c1-38e29bdb63ad · outbound

This paper cites Youhome system and dataset: Making your home know you better.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Youhome system and dataset: Making your home know you better

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:15.590352Z

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.

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Observation 2c69cda0-02b0-45fd-8dff-99475e95eb65 · outbound

This paper cites Ascc activities of daily living dataset, 2023.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Ascc activities of daily living dataset, 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:15.344512Z

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=pdf_text observed=2026-08-07T14:41:02.977128Z digest=sha256:f24252867c37bfb695552af3ee095cd4b105e4ac7e1357fcee802e5f593dbb40

Observation 6153929d-3474-435f-af65-293810272b8a · outbound

This paper cites Activity recognition using semi- markov models on real world smart home datasets.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Activity recognition using semi- markov models on real world smart home datasets

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:16.055848Z

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.

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Observation 8e8dcbdb-fe3f-419c-b533-28f64556e3b0 · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:41:15.143022Z

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.

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Observation e5f1fd8a-9f5a-4aca-87c5-043e22308af4 · outbound

This paper cites Living alone among older adults in canada and the us.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Living alone among older adults in canada and the us

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:14.810213Z

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.

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Observation 07f6b054-cead-4948-8360-18eae7a4df45 · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:41:14.526218Z

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.

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Observation 960d995f-14ec-44cd-a0a8-4e3c3301dcc6 · outbound

This paper cites D’souza, M.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling D’souza, M

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:14.262980Z

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=pdf_text observed=2026-08-07T14:41:03.512858Z digest=sha256:ed73e9d61ae48d727a65e9715dd043ca7f5b6d281594b2fef85436c4d4d9ba24

Observation 04280d33-d470-4238-8fa6-d227ba411098 · outbound

This paper cites Smote for time series classification: A case study in human activity recognition.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Smote for time series classification: A case study in human activity recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:14.042132Z

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=pdf_text observed=2026-08-07T14:41:03.623044Z digest=sha256:81944e9c8a4d4f6a87873194214d3707abf369406b6ca1874f920a136b4485a7

Observation 5498fefa-d900-451b-8ba8-06ba00067df2 · outbound

This paper cites Multivariate time series data imputation using attention-based mechanism.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Multivariate time series data imputation using attention-based mechanism

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:13.805296Z

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=pdf_text observed=2026-08-07T14:41:03.747027Z digest=sha256:ebacd30266260517059b024e3fffbad28b3b596cb38e3227e3f11ec489ad2a03

Observation 5f05dce2-fab9-40b3-aae0-3f2624967320 · outbound

This paper cites Rndiff: Rainfall nowcasting with condition diffusion model.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Rndiff: Rainfall nowcasting with condition diffusion model

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:13.568602Z

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=pdf_text observed=2026-08-07T14:41:03.837164Z digest=sha256:04d91a81842abc5cc51e354e816737c9f9c59a0ed27290e587cc851368a49019

Observation 554849b5-45d6-4f81-868e-d7a90d8d4293 · outbound

This paper cites Fin-gan: forecasting and classifying financial time series via generative adversarial networks.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Fin-gan: forecasting and classifying financial time series via generative adversarial networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:13.154679Z

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=pdf_text observed=2026-08-07T14:41:03.921758Z digest=sha256:4581b5de3561cdb9bcd809292da7965b48319cf1950fabd980a171ee7e23e6d0

Observation e0589237-7db0-48ba-9fbd-830990908c00 · outbound

This paper cites Eldersim: A synthetic data generation platform for human action recognition in eldercare applications.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Eldersim: A synthetic data generation platform for human action recognition in eldercare applications

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.899553Z

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=pdf_text observed=2026-08-07T14:41:04.010833Z digest=sha256:fe49e9c610d29f4e9239cd032598cf5a1d6f7ce3399ed9e8d7e942cd07fb98e3

Observation 4331c00d-bb2d-4f06-b390-3da5c6100eb4 · outbound

This paper cites Activity scenarios simulation by discovering knowledge through activities of daily living datasets.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Activity scenarios simulation by discovering knowledge through activities of daily living datasets

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.728219Z

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=pdf_text observed=2026-08-07T14:41:04.104179Z digest=sha256:b88684f98ee660726e070e2a0f843800e6fab3a7ea4382bc1507b2ad7fd5c854

Observation e00b9d16-e961-4344-ab27-5e0ee7c922c3 · outbound

This paper cites Transformer Hawkes process.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Transformer Hawkes process

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.614906Z

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=pdf_text observed=2026-08-07T14:41:04.192247Z digest=sha256:2856cc426610682546df38f44683ca6402f0f16c0199768afe7f91795981a31e

Observation af9bbf7d-0c66-49b0-87ff-ed23b71cbbcc · outbound

This paper cites Self-attentive hawkes process.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Self-attentive hawkes process

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.496820Z

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=pdf_text observed=2026-08-07T14:41:04.287207Z digest=sha256:bcdf391144e9819e744d2c16a7f6da02d26500e0ed863fb5aa2cea7a8d1217be

Observation 8dde1140-f22b-4ed4-8499-33fe6d7b482e · outbound

This paper cites Time-series generative adversarial networks.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Time-series generative adversarial networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:04.382169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:04.382169Z digest=sha256:60873067b7c75e1e2754997ed734f34220a85e23aa7144c0196506dca0efb708

Observation bf5d46ab-62d4-4cda-bf38-eb913bb0f8c8 · outbound

This paper cites Cot-gan: Generating sequential data via causal optimal transport.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Cot-gan: Generating sequential data via causal optimal transport

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.381314Z

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=pdf_text observed=2026-08-07T14:41:04.465763Z digest=sha256:29fb3e04abd527254ebfdc2ea737a27040ada5b0079d4272439c0eafb107523a

Observation 56f21775-38e3-495c-b226-bdd90e359bfa · outbound

This paper cites Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:04.562541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:04.562541Z digest=sha256:d4814cf0a773c89268bb3f018797e3535ba40c75c45135743f31bf1474ed72d9

Observation 09f42b1d-a7ab-4813-98ea-821ee6c306d7 · outbound

This paper cites TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:04.657167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:04.657167Z digest=sha256:c577a29e229e4481d65fa11e64c4779df6921924e80392041b743ce6b1792126

Observation b245d068-fcd5-4d9f-a3a8-5d511e6da6e2 · outbound

This paper cites Layout-agnostic human activity recognition in smart homes through textual descriptions of sensor triggers (tdost).

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Layout-agnostic human activity recognition in smart homes through textual descriptions of sensor triggers (tdost)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.259325Z

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=pdf_text observed=2026-08-07T14:41:04.736702Z digest=sha256:fa3e53b211c3a165074639e27076b0a960c048ffac4f0eb5d9873e5cc4d2df6c

Observation 708f8f7e-9eb9-400b-aefd-f588310c312e · outbound

This paper cites A sequential deep learning application for recognising human activities in smart homes.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A sequential deep learning application for recognising human activities in smart homes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:12.152321Z

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=pdf_text observed=2026-08-07T14:41:04.807581Z digest=sha256:d08098d9b5c275b14ca5ed94a9379ca2338ebc6c0f4c42a654f75d973732d8a9

Observation 6d9d6982-68f7-4812-b510-713faa624bbd · outbound

This paper cites Fine-grained activity of daily living (adl) recognition through heterogeneous sensing systems with comple- mentary spatiotemporal characteristics.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Fine-grained activity of daily living (adl) recognition through heterogeneous sensing systems with comple- mentary spatiotemporal characteristics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.993182Z

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=pdf_text observed=2026-08-07T14:41:04.859222Z digest=sha256:71314a8fe1c283bd360b2f2b75ca01ce5850b8801d1bfa5eb381c728e5c1c3e1

Observation acc4717a-e709-4caa-a7f3-06a7b75c628b · outbound

This paper cites Multimodal generation of novel action appearances for synthetic-to-real recognition of activities of daily living.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Multimodal generation of novel action appearances for synthetic-to-real recognition of activities of daily living

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.854054Z

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=pdf_text observed=2026-08-07T14:41:04.886674Z digest=sha256:b6776c954abcb5913a428733df20f59ca1bb094b683afebbf6d27bcea1406a70

Observation 6efc1a70-f0d3-45ab-850d-47657b7424b9 · outbound

This paper cites A quantitative analysis of activities of daily living: Insights into improving functional independence with assistive robotics.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A quantitative analysis of activities of daily living: Insights into improving functional independence with assistive robotics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.704649Z

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=pdf_text observed=2026-08-07T14:41:04.938018Z digest=sha256:a70a075de2f501e0f4bdfb0941d06e50de17a9a802afc3f49b96bafc9614233f

Observation f8b2d67b-3f25-4955-ab99-dfea4cd0e4d7 · outbound

This paper cites Smote: Synthetic minority over-sampling technique.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Smote: Synthetic minority over-sampling technique

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.564778Z

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=pdf_text observed=2026-08-07T14:41:04.994723Z digest=sha256:c77ae36e2754cfd2cd80d223547163ae9dd860a0d77156dc31edc11519e5fc34

Observation 3cb9ca32-8e6e-421f-b830-1f28fb29815f · outbound

This paper cites Constrained Diffusion Models via Dual Training.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Constrained Diffusion Models via Dual Training

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:05.065346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:05.065346Z digest=sha256:a1090b60159035b9b62755d86e8a32276428deb145c43747fa4a0a6e94d1bc57

Observation f81113a9-237b-4575-b9eb-bacfed268f4a · outbound

This paper cites Stavropoulos, S.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Stavropoulos, S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.441032Z

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=pdf_text observed=2026-08-07T14:41:05.174428Z digest=sha256:2ac665a814959ec4d09e82b7c3fd9066729b2aaa04b79a1cbfbf72812f114c0e

Observation d5e77639-e76d-4186-920b-9fdfd2eb5f3b · outbound

This paper cites Chatterjee, Martin W.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Chatterjee, Martin W

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.318665Z

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=pdf_text observed=2026-08-07T14:41:05.280709Z digest=sha256:b3cdcb2c1ad4bf6735666c9452bfc714ee424ca0927edce40ab69e4620efe102

Observation d8a8fa4d-4d86-41c8-9343-15630515f63f · outbound

This paper cites Cgxplain: Rule-based deep neural network explanations using dual linear programs.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Cgxplain: Rule-based deep neural network explanations using dual linear programs

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:11.144403Z

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=pdf_text observed=2026-08-07T14:41:05.366653Z digest=sha256:6840ad83c3bbdf527ff58ffb437477a0f9d45e298607a275fd3789b8e3bb132d

Observation cb2daef7-c5de-4ee5-8141-d02ab14f0047 · outbound

This paper cites Star-transformer: A spatio-temporal cross attention transformer for human action recognition.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Star-transformer: A spatio-temporal cross attention transformer for human action recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.930474Z

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=pdf_text observed=2026-08-07T14:41:05.481252Z digest=sha256:e7909a25cb251cc2d8abde066f0d227a4529410d0021b61429745fb68a78922a

Observation 70cc1f4d-e613-4859-9d49-8ce0477a17f3 · outbound

This paper cites Auggpt: Leveraging chatgpt for text data augmentation.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Auggpt: Leveraging chatgpt for text data augmentation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.781985Z

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=pdf_text observed=2026-08-07T14:41:05.580489Z digest=sha256:a8d8c5538d5b0119a5d60cf40d96666be9655a562fb03cfc432e9b53e6eaa936

Observation 3b0fe6c4-157d-4b49-8e04-e4932c35408c · outbound

This paper cites A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:05.680617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:05.680617Z digest=sha256:b13ee27ad9959f59e56f7fe152d823ce3257c6a17821d01fff1c37e560638adb

Observation db2e428e-75ec-4eb5-b528-37af99396674 · outbound

This paper cites Large language model-driven structured output: A comprehensive benchmark and spatial data generation framework.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Large language model-driven structured output: A comprehensive benchmark and spatial data generation framework

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.594088Z

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=pdf_text observed=2026-08-07T14:41:05.787289Z digest=sha256:bf903f280184bcccce7df822f506fe63c512b147acd85d6532e5254f26f2e5d7

Observation 65fef1df-368f-4a5d-b373-e3012ed72473 · outbound

This paper cites Are llms good at structured outputs? a benchmark for evaluating structured output capabilities in llms.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Are llms good at structured outputs? a benchmark for evaluating structured output capabilities in llms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.402782Z

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=pdf_text observed=2026-08-07T14:41:05.895740Z digest=sha256:5fc7c780fa71b2d7d96300f7879b2170846f690fa3df2d88718c7dacbda03edd

Observation 19a20710-4bb0-4b0b-a0db-c3dc694a8fdd · outbound

This paper cites Matez-Bandera, J.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Matez-Bandera, J

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.204587Z

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=pdf_text observed=2026-08-07T14:41:06.031639Z digest=sha256:794c9f5338cddb43a2cc4544e98589efad57033420c982bd020bc3fba886992a

Observation 8355bc49-cb0c-42b7-8f5d-b384c077f633 · outbound

This paper cites E, and Meina Song.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling E, and Meina Song

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:10.015483Z

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=pdf_text observed=2026-08-07T14:41:06.145250Z digest=sha256:516a52adcc4fb4be3f00d53164a428fa6556cc60faa95d34ff6fd15952f62d62

Observation 3be62b77-1eaa-494e-bdf0-5e4385f20b8f · outbound

This paper cites A kernel method for the two-sample-problem.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling A kernel method for the two-sample-problem

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:09.841172Z

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=pdf_text observed=2026-08-07T14:41:06.226853Z digest=sha256:0279bf5816d79755558b5c4a51d0ccf6602c065452a5f8afc0d4766176f24b89

Observation 3372e7bc-fb8f-4fdb-aaa7-99b1f3b64dbb · outbound

This paper cites Multi-tiered systems of support and evidence-based practices.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Multi-tiered systems of support and evidence-based practices

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:09.653182Z

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=pdf_text observed=2026-08-07T14:41:06.343913Z digest=sha256:ba37ed3435529d1ad125de467089acfc667bf8a978c20654d1a2f2e65605fbf3

Observation 1306404c-efd7-41d5-89a5-bb772f3cadaf · outbound

This paper cites Ortigosa.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Ortigosa

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:09.453052Z

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=pdf_text observed=2026-08-07T14:41:06.417611Z digest=sha256:f3949ac544bbad625ac500c03c59a7f99f8c51697d9f98adb8c4712f373ce995

Observation e7598318-faa7-4811-98d5-a37443d9a50b · outbound

This paper cites Generative resident separation and multi-label classification for multi-person activity recognition.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Generative resident separation and multi-label classification for multi-person activity recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:09.237631Z

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=pdf_text observed=2026-08-07T14:41:06.526482Z digest=sha256:2b710d5c6f4049270fcca3784c9018fd8da0ea657775af26107a0678e5491072

Observation 37823b1e-b43a-4ffe-a81e-b1ffe45897b6 · outbound

This paper cites Attention- based bidirectional long short-term memory networks for relation classification.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Attention- based bidirectional long short-term memory networks for relation classification

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:09.006986Z

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=pdf_text observed=2026-08-07T14:41:06.669253Z digest=sha256:cbe6a99983c2913c3d37c35526422c54e669a0abbd48db49cf3f0d4ee6a9d333

Observation a7f05eb5-97db-4ac7-9d3a-fc9e72d64112 · outbound

This paper cites Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:06.783116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:06.783116Z digest=sha256:971d65e5044ddee1c513bf1a8491030f19938dfae0ffcfc5f4b9a459b913e897

Observation 1758dbab-c05a-46ee-bd55-5116ef7eb5e8 · outbound

This paper cites Morris Chang.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Morris Chang

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:08.811929Z

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=pdf_text observed=2026-08-07T14:41:06.869545Z digest=sha256:c244c4cdc32bc5825d4b08d5604b5a755851b2789dbe462cb338f52c294810c8

Observation e4a13d2f-caeb-42c2-aa32-d352f863ee1b · outbound

This paper cites an unresolved cited work.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:41:08.596328Z

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=pdf_text observed=2026-08-07T14:41:07.040110Z digest=sha256:807bafaaf82691e935c28878f1fa8afde385c4a1c6e0837166056798c7785d8a

Observation 72241b07-057b-45e8-8919-d0225fd1a64c · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Unsupervised domain adaptation by backpropagation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:08.367347Z

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=pdf_text observed=2026-08-07T14:41:07.146792Z digest=sha256:7cfeceff31304314aa6691a81957e36a345432b35fdfed36a3ad4959188893dc

Observation 1e4cffd0-2d37-4bf4-8445-57a3d0aa2b02 · outbound

This paper cites Measuring the quality of Synthetic data for use in competitions.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Measuring the quality of Synthetic data for use in competitions

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:41:07.723213Z

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=pdf_text observed=2026-08-07T14:41:07.256453Z digest=sha256:399238f17a3bc41eb0964c1b76ad540befc5f8b0fea46a33881588b3abbc544f

Observation ce46e122-c0a8-4cb8-979e-eca6279f9fbd · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling Gender shades: Intersectional accuracy disparities in commercial gender classification

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:08.184149Z

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=pdf_text observed=2026-08-07T14:41:07.391491Z digest=sha256:a90d77f444f1397bf7ab91c2348c6f18be73f911752016b989f16568a161a593

Observation 473a3a8d-2e28-42c1-9c3e-94e6d11e81a1 · outbound

This paper cites The global landscape of AI ethics guidelines.

ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling The global landscape of AI ethics guidelines

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:41:07.967853Z

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=pdf_text observed=2026-08-07T14:41:07.473627Z digest=sha256:c9727ee1467b2a442ab494d9ce521e0fc9763e432f89dafe15a830b3d797a960

Pith citing papers

No inbound Pith citation observations are available.