Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T01:57:36.690246Z
Paper Citation Record · LEDGER
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention
As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2605.04460.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
28 of 28 outbound references displayed
- verified exact2
- verified fuzzy26
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 759e0a7f-9c58-453d-b4b9-e4a23db27d24 · outbound
This paper cites A case study and survey-based assessment of the manage- ment of innovation and technology.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention A case study and survey-based assessment of the manage- ment of innovation and technology
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.913997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bcf8dc9f-e04b-45cb-95d5-983c994351e2 · outbound
This paper cites Predicting the use of public transportation: a case study from putrajaya, malaysia.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Predicting the use of public transportation: a case study from putrajaya, malaysia
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.912194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f586db18-9385-495f-8525-9e6117433831 · outbound
This paper cites Using a technology acceptance model to explore the intention to use digital health technologies among people with disabilities: cross-sectional survey study.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Using a technology acceptance model to explore the intention to use digital health technologies among people with disabilities: cross-sectional survey study
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.933154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8b9ccd7a-092f-4412-acaf-142b187e8ac1 · outbound
This paper cites A social equity analysis of the us public transportation system based on job accessibility.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention A social equity analysis of the us public transportation system based on job accessibility
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.935297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55d43da4-2d86-46fb-aee2-ca0437352316 · outbound
This paper cites The impact of public transportation on carbon emissions—from the perspective of energy consumption.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention The impact of public transportation on carbon emissions—from the perspective of energy consumption
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.939047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5d03bdec-8d66-49bf-9de7-17d07fa5160f · outbound
This paper cites Investigating consumers’ behavioral intentions in the adoption of 5g mobile networks: a holistic approach to technology acceptance and business process integration.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Investigating consumers’ behavioral intentions in the adoption of 5g mobile networks: a holistic approach to technology acceptance and business process integration
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.900653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b64eebe-6003-430a-9b3b-fee0e0c520b7 · outbound
This paper cites How incentives affect commuter willingness for public transport: Analysis of travel mode shift across various cities.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention How incentives affect commuter willingness for public transport: Analysis of travel mode shift across various cities
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.942862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c1c19c66-e22f-4581-b827-18ae3bccc897 · outbound
This paper cites Accessibility and transportation equity.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Accessibility and transportation equity
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.940837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ac349912-f8d5-4a7e-af7c-08a8326a1ca1 · outbound
This paper cites Promoting green transportation through changing behaviors with low-carbon-travel function of digital maps.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Promoting green transportation through changing behaviors with low-carbon-travel function of digital maps
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.944668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9b43ae12-47f0-47c1-be2a-65434e8a45d0 · outbound
This paper cites Is it possible to attract private vehicle users towards public transport? understanding the key role of service quality, satisfaction and involvement on behavioral intentions.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Is it possible to attract private vehicle users towards public transport? understanding the key role of service quality, satisfaction and involvement on behavioral intentions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.908323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9246c2e0-0515-4914-915d-fa9d27cbb9fb · outbound
This paper cites Uncov- ering distinct public transport user profiles and the factors influencing the users’ intentions.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Uncov- ering distinct public transport user profiles and the factors influencing the users’ intentions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.937213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 021bff68-3367-4f29-b452-07f8ae1ab989 · outbound
This paper cites Counterfactual explanations for deep learning-based traffic forecasting.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Counterfactual explanations for deep learning-based traffic forecasting
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.946511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 328074df-6b30-444e-9e15-6095efb7d53b · outbound
This paper cites Distributional Counterfactual Explanations With Optimal Transport.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Distributional Counterfactual Explanations With Optimal Transport
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:05:56.837345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 935298ee-3bd2-42d3-96df-46ee630ee130 · outbound
This paper cites Counterfactual explanations as interventions in latent space.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Counterfactual explanations as interventions in latent space
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.927572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29f4341a-b320-4c15-8123-3031b2d1744b · outbound
This paper cites Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Impact analysis of actual traveling performance on bus passenger’s perception and satisfaction
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.929391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c99d4bba-7bfc-4f6d-9030-63dd573526a7 · outbound
This paper cites Private car users’ willingness to switch to public transportation and its influencing factors in the yangtze river delta.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Private car users’ willingness to switch to public transportation and its influencing factors in the yangtze river delta
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.902631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8c9e7515-6612-47f8-8d2a-486b1aa17009 · outbound
This paper cites Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.923871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ef02a69-7924-4c19-90a2-9165d5c93c7e · outbound
This paper cites Importance-aware topic modeling for discovering public transit risk from noisy social media.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Importance-aware topic modeling for discovering public transit risk from noisy social media
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:05:56.858869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 494d0d71-6283-4184-b676-40b83f29f85e · outbound
This paper cites Topic modeling help enhancing sustainable mobility.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Topic modeling help enhancing sustainable mobility
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.906304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3988d09-90e3-459b-b0be-6f31bbe0881c · outbound
This paper cites Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.904388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c429ee9a-133f-43ab-ba8b-368cf93ccce2 · outbound
This paper cites Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.922034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 080f8e70-8f2f-4614-b21b-18fe33683ab4 · outbound
This paper cites Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.931132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b8d2fd5-a1a3-4ff6-8111-af70b2465a69 · outbound
This paper cites Cirf: Importance of related features for plausible counterfactual explanations.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Cirf: Importance of related features for plausible counterfactual explanations
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.918145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dbf30206-4d9b-45f7-8efc-266883e23839 · outbound
This paper cites Counterfactual explanations and algorithmic recourses for machine learning: A review.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Counterfactual explanations and algorithmic recourses for machine learning: A review
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.915879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 15e372f0-03a3-4279-ae04-9f63228810ea · outbound
This paper cites Nonnegative matrix factorization in dimensionality reduction: A survey.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Nonnegative matrix factorization in dimensionality reduction: A survey
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.920072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6abf19d8-ea8d-4f62-b0ec-f5677831d112 · outbound
This paper cites The many shapley values for explainable artificial intelligence: A sensitivity analysis perspective.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention The many shapley values for explainable artificial intelligence: A sensitivity analysis perspective
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.925805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3f11f0e-aaa5-4fe7-88ff-6ef38b6ed81d · outbound
This paper cites Peyr ´e and M.
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Peyr ´e and M
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.948282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b0499700-9931-459f-981c-e98647b5a602 · outbound
This paper cites Santa clara valley on-board transit survey (2013).
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention Santa clara valley on-board transit survey (2013)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T14:56:31.910388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.