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Paper Citation Record · LEDGER

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation

As of 21 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2501.01367.

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

pith.paper-citation-record.v1
2501.01367 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:08.180370Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

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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

91 of 91 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b377e51-ed7d-43fe-9a72-a608058facb1 · outbound

This paper cites Algorithms for inverse reinforcement learn- ing.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Algorithms for inverse reinforcement learn- ing

Reference 1

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Observation d71c570e-b55b-4bd5-a860-c9fd55e7830f · outbound

This paper cites Apprenticeship learning via inverse rein- forcement learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Apprenticeship learning via inverse rein- forcement learning,

Reference 2

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Observation 98bf758a-620f-4386-8101-380cfc71ea06 · outbound

This paper cites Aligning human and robot representations,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Aligning human and robot representations,

Reference 3

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Observation 2c17f877-42f7-4bf5-b910-007b72eb144e · outbound

This paper cites Sirl: Similarity-based implicit representation learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Sirl: Similarity-based implicit representation learning,

Reference 4

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Observation 1b7aed65-bde0-4ff5-a0e4-8cd86c6104e6 · outbound

This paper cites PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Reference 5

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Observation 3e214beb-4128-4326-a64d-f925dad35541 · outbound

This paper cites Representation matters: Offline pretraining for sequential decision making,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Representation matters: Offline pretraining for sequential decision making,

Reference 6

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Observation d3ed6c9f-6848-4adc-bd49-3038afbbca87 · outbound

This paper cites The rosid tool: Empowering users to design multimodal signals for human- robot collaboration,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation The rosid tool: Empowering users to design multimodal signals for human- robot collaboration,

Reference 7

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Observation 23ae3f05-894b-4ea6-879a-d60614bcb4a2 · outbound

This paper cites Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

Reference 8

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Observation 0dac8917-c798-4f9f-bd6d-9822f501dbf6 · outbound

This paper cites Active preference- based learning of reward functions,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Active preference- based learning of reward functions,

Reference 9

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Observation c563ae19-c69e-49b9-becf-038e4f7e0e02 · outbound

This paper cites Preference-driven texture modeling through interactive generation and search,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Preference-driven texture modeling through interactive generation and search,

Reference 10

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Observation 85509394-2453-4d19-990b-a483cd832eb8 · outbound

This paper cites Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations,

Reference 11

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Observation eecb5818-81ce-4ea0-a5de-d564f1e57021 · outbound

This paper cites Learning multimodal rewards from rankings,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning multimodal rewards from rankings,

Reference 12

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Observation f2436f87-2620-4902-b459-9c8a5006ae79 · outbound

This paper cites Learning from suboptimal demonstration via self-supervised reward regression,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning from suboptimal demonstration via self-supervised reward regression,

Reference 13

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Observation 309a8c03-4d1f-4541-bb1f-a4361e5481db · outbound

This paper cites An interactive framework for learning continuous actions policies based on corrective feedback,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation An interactive framework for learning continuous actions policies based on corrective feedback,

Reference 14

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Observation 7031a207-28d0-47f1-9aa9-8684055167da · outbound

This paper cites Learning from physical human corrections, one feature at a time,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning from physical human corrections, one feature at a time,

Reference 15

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Observation 9abf61e2-4fe9-4eef-9f0f-7d64f1532cff · outbound

This paper cites Learning human objectives from sequences of physical corrections,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning human objectives from sequences of physical corrections,

Reference 16

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Observation e607aa7f-0526-4b2e-a134-1df11d78f942 · outbound

This paper cites Active reward learning from critiques,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Active reward learning from critiques,

Reference 17

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Observation 636089ef-1b0f-47a6-9518-857385e4498a · outbound

This paper cites Including uncertainty when learning from human corrections,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Including uncertainty when learning from human corrections,

Reference 18

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Observation 1a7bb38e-4c52-4495-ba78-f418fccfba82 · outbound

This paper cites Asking the right questions: Facilitating semantic constraint specification for robot skill learning and repair,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Asking the right questions: Facilitating semantic constraint specification for robot skill learning and repair,

Reference 19

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Observation 1319cb95-ce25-4608-be77-449ee1213255 · outbound

This paper cites Planning with large language models via corrective re-prompting,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Planning with large language models via corrective re-prompting,

Reference 20

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Observation 19fc7482-4773-4b14-ad73-bd3a47551336 · outbound

This paper cites Grounding complex natural language commands for temporal tasks in unseen environments,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Grounding complex natural language commands for temporal tasks in unseen environments,

Reference 21

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Observation ed8d1e39-88f2-4468-b83b-6085cebbe5d0 · outbound

This paper cites Tidybot: Personalized robot assis- tance with large language models,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Tidybot: Personalized robot assis- tance with large language models,

Reference 22

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Observation a745b4ed-a131-4de3-a6ac-6056994d3b4f · outbound

This paper cites The empathic framework for task learning from implicit human feedback,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation The empathic framework for task learning from implicit human feedback,

Reference 23

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Observation 29ac1b6b-55e0-4f08-b30f-a12690dd02a2 · outbound

This paper cites On using social signals to enable flexible error-aware hri,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation On using social signals to enable flexible error-aware hri,

Reference 24

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Observation 1c57030b-0879-45a1-9f4f-6293db70e1c2 · outbound

This paper cites Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strat- egy,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strat- egy,

Reference 25

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Observation 7c5de638-912d-4f1b-b752-2d34ae3ef364 · outbound

This paper cites Efficient model learning from joint-action demonstrations for human-robot collaborative tasks,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Efficient model learning from joint-action demonstrations for human-robot collaborative tasks,

Reference 26

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Observation 2f4be17e-8866-4f17-9da2-dafc88ed5745 · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Maximum entropy inverse reinforcement learning

Reference 27

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This paper cites Learning from imperfect demonstrations from agents with varying dynamics,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning from imperfect demonstrations from agents with varying dynamics,

Reference 28

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Observation acbb9441-cceb-44b9-9e70-fcad321f1662 · outbound

This paper cites Inferring non-stationary human preferences for human-agent teams,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Inferring non-stationary human preferences for human-agent teams,

Reference 29

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Observation 03f89f5a-0af9-48b0-ade2-a6a99aa7f430 · outbound

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Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Inquire: Interactive querying for user- aware informative reasoning,

Reference 30

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Observation 0e75b3ca-7047-49b8-b11c-77c091a81fbd · outbound

This paper cites Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences,

Reference 31

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Observation 5b005b9d-3290-4917-a65f-09a08bfc0ecf · outbound

This paper cites Understanding the relationship between interactions and outcomes in human-in-the-loop machine learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Understanding the relationship between interactions and outcomes in human-in-the-loop machine learning,

Reference 32

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Observation 5cc0718a-7dd2-483f-a0be-ecee96d8f89d · outbound

This paper cites Inverse reward design,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Inverse reward design,

Reference 33

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Observation 9ba577cb-e3fa-48b0-a59a-89f61cdf06a8 · outbound

This paper cites Modeling variation in human feedback with user inputs: An exploratory methodology,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Modeling variation in human feedback with user inputs: An exploratory methodology,

Reference 34

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Observation 121d1910-be52-4f7d-8748-4e0f57448b0f · outbound

This paper cites Safe imitation learning via fast bayesian reward inference from preferences,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Safe imitation learning via fast bayesian reward inference from preferences,

Reference 35

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Observation f3265cc4-88a8-4654-976d-e5c69f522611 · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Curl: Contrastive unsupervised representations for reinforcement learning,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:07.954660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d67bc1d3-e129-4b18-9121-5d24465117c8 · outbound

This paper cites Recurrent world models facilitate policy evolution,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Recurrent world models facilitate policy evolution,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.955050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2e8e269f-ae0d-4245-a649-6aad57ad9ed3 · outbound

This paper cites RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:07.962630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:07.962630Z digest=sha256:3872f0b784c7b2a751a91f16bd32e9de962f0cc86315fa44d3f7430cf46f7520

Observation 331e4394-8e99-4d91-8b9b-57c26dfd1e5e · outbound

This paper cites State representations in robotics: Identifying relevant factors of variation using weak supervision,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation State representations in robotics: Identifying relevant factors of variation using weak supervision,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.940924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.966880Z digest=sha256:7360f10614ff9e9d0f7d300b32b7ed07d97db252aa3fa1ad40c967f6808a2079

Observation b8bb3548-5ffa-4787-ac68-9b54dcf17c4d · outbound

This paper cites Weakly super- vised causal representation learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Weakly super- vised causal representation learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.927506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.970893Z digest=sha256:ea12abdddd96cff6e18f7f536f68e00f4b4690830ca81a340e943eb1ea1c6fd8

Observation e5a5798c-a4ec-46a4-a300-b259ebfca960 · outbound

This paper cites Human-driven feature selection for a robotic agent learning classification tasks from demon- stration,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Human-driven feature selection for a robotic agent learning classification tasks from demon- stration,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.914298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.974768Z digest=sha256:120e345164d0e5ccb1f51920c345d4236b782a72a80d8d1da0e88e2a25e6395c

Observation 2dc4dfdc-bcdf-4ce0-8348-9a3616653e59 · outbound

This paper cites Designing robot learners that ask good questions,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Designing robot learners that ask good questions,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.901325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.978650Z digest=sha256:d0cf87502187d134f58c6448534a4f5fe072f95da9ba20dd7d7a8b1ae06de82a

Observation adb25aee-421e-458f-8ff4-876291bc1a30 · outbound

This paper cites Feature expan- sive reward learning: Rethinking human input,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Feature expan- sive reward learning: Rethinking human input,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.887663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.982585Z digest=sha256:b42a617a0bf9389c19207d4e182cc01c6b0052355ba6336800c6bf86c39d64e6

Observation 38916d55-ba37-45ca-80e2-22050706d98b · outbound

This paper cites Fine-grained driving behavior prediction via context-aware multi-task inverse reinforcement learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Fine-grained driving behavior prediction via context-aware multi-task inverse reinforcement learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.874720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.986698Z digest=sha256:b10e17133dedb778b839ed5c8afa0151d5688eb9f513798370b634adc842236e

Observation 91027491-5fd7-4908-a657-592ea6f80e19 · outbound

This paper cites Task-induced rep- resentation learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Task-induced rep- resentation learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.861732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.990648Z digest=sha256:c02b2de720ef5e45bd74e07f340bc64343110a0327fcbbb5ed759d753c4ca677

Observation 67eec675-a1b0-45de-9dae-dc9609d014a3 · outbound

This paper cites Mind meld: Personalized meta-learning for robot-centric imitation learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Mind meld: Personalized meta-learning for robot-centric imitation learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.848955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.994623Z digest=sha256:492778331ede6142efd1166354590691b0719ebe8d6bd8e8692ab159d0d8bd07

Observation ec1fbaa4-c6f8-49ce-b619-e21706bb1983 · outbound

This paper cites Reciprocal mind meld: Improving learning from demonstration via personalized, recip- rocal teaching,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Reciprocal mind meld: Improving learning from demonstration via personalized, recip- rocal teaching,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.834995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:07.998590Z digest=sha256:0fd2c133070862de7cd488ae8ced2efa2637bf875937cd204aedaa8d85f4ad6b

Observation 1cad446c-9319-4296-a8c1-951bc2fc56e5 · outbound

This paper cites Extending the technology acceptance model with moti- vation and social factors,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Extending the technology acceptance model with moti- vation and social factors,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.821449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.002446Z digest=sha256:0c1e322ab8cee0f3ccdc6ae9097f7a77b53193186788f4b36c7c3fa366543655

Observation db111f63-4f11-4935-89e3-c8f193648f41 · outbound

This paper cites Relating motivation to information and communication technology acceptance: Self-determination theory perspective,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Relating motivation to information and communication technology acceptance: Self-determination theory perspective,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.808264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.006802Z digest=sha256:698843e053a76f8c5ec3efc4eb36eb014b089deb5d44c8fc1454c762f1846ee4

Observation 37cd230e-d2a5-4b51-b02f-4fd00ffe3128 · outbound

This paper cites Exploratory search: from finding to understanding,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Exploratory search: from finding to understanding,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.795243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.010807Z digest=sha256:b0495464b41ab705c6d16142d6c181472dd29f0bd5e8a2cb53d569de7b5ba8fd

Observation d8efcfd9-b5c0-4e08-8bc1-b33917e32ce9 · outbound

This paper cites The history of information retrieval research,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation The history of information retrieval research,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.782466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.014903Z digest=sha256:910aa172d248942f8458bc6ccbaf6ab5d3196651313d4d5eb2c5bf3b5adfe42f

Observation 3c630b42-0bb2-4c43-ab5f-002ed9f8bf8a · outbound

This paper cites Modern information retrieval: A brief overview,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Modern information retrieval: A brief overview,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.768583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.019114Z digest=sha256:bf30ec4c9e31ca0b188868e01f5c95f6ad25c3163a7a6b52e939771723ae06db

Observation 5ee52051-0568-4679-b0b7-b7393edfb461 · outbound

This paper cites Engage!: co-designing search engine result pages to foster interactions,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Engage!: co-designing search engine result pages to foster interactions,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.755543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.022968Z digest=sha256:7f556105cace25af7e68779c40983e9603bd8dabd1fddca02252a8e380129b37

Observation f277ece0-30fd-4c74-9a64-7fdcaaf02bb5 · outbound

This paper cites Searchlens: Composing and capturing complex user interests for exploratory search,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Searchlens: Composing and capturing complex user interests for exploratory search,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.741421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.026879Z digest=sha256:a607a598dd21a51bf4815638e29de91b06fb776db6cb9afb5c726404502aaea7

Observation ae67fc08-1d25-4f01-a890-9a90f51f2e12 · outbound

This paper cites Grapevine: A profile-based exploratory search and recommendation system for finding research advisors,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Grapevine: A profile-based exploratory search and recommendation system for finding research advisors,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.728271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.030815Z digest=sha256:be7048638d0b0b062bbcdc3b66711af5631d70642794eb2c3c3db1c07a0b2704

Observation 58a2dd87-55f5-47f6-a57b-5d5653f5445c · outbound

This paper cites Beyond actions: Exploring the discovery of tactics from user logs,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Beyond actions: Exploring the discovery of tactics from user logs,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.715064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.034703Z digest=sha256:bc1bb9644322556c1fb10b405d85033d4c9a81a9a18380362747dc6c88de2347

Observation ee615f00-7040-4038-a52c-71e68a0f86ba · outbound

This paper cites Click-through rate prediction in online advertising: A literature review,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Click-through rate prediction in online advertising: A literature review,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.701410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.038576Z digest=sha256:2b36a00cd365ecda28b0240c33c66ccd8f7ad7cc4a0e3c9b5301a11e18e3c864

Observation 55656c18-c155-492c-b56c-a1433240e7c9 · outbound

This paper cites Learning perceptual ker- nels for visualization design,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning perceptual ker- nels for visualization design,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.688680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.042365Z digest=sha256:e41da978e88877cf496c71738dc46731507911c79db38e25f49ead4fa08967e3

Observation aa9666be-b822-478c-a372-3df3fabdc713 · outbound

This paper cites Dimensionality reduction by learning an invariant mapping,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Dimensionality reduction by learning an invariant mapping,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.675449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 29d2784e-6fb1-4dea-811c-99a34b9f142b · outbound

This paper cites Deep metric learning using triplet network,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Deep metric learning using triplet network,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.661556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.050568Z digest=sha256:8ce50e40ad56844df54ce7d08a8b13a9a81f65423a41a9eddb8c528b342b4cb3

Observation 36fd83ee-2b02-49f7-8017-1343fd835f7c · outbound

This paper cites an unresolved cited work.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:32:08.647097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation adb9699f-958b-4465-8f18-92c779ca2d57 · outbound

This paper cites Query chains: learning to rank from implicit feedback,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Query chains: learning to rank from implicit feedback,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.634040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.058308Z digest=sha256:4a06abfd38505223a9389cd25e17b42b1c2bebd3aff539cb0c980815274d6fc2

Observation f60aff33-b721-4b05-acfb-5b43d4dd2a34 · outbound

This paper cites Transfer learning of human preferences for proactive robot assistance in assembly tasks,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Transfer learning of human preferences for proactive robot assistance in assembly tasks,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.620008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.062130Z digest=sha256:c896c9a162e26c6bdf37e622ae2964b0ec3bdf6015f9c4c09d756b0102602967

Observation cbf5aee0-7183-449a-b0ae-d81b408b6ce3 · outbound

This paper cites Approx- imating gradients for differentiable quality diversity in reinforcement learning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Approx- imating gradients for differentiable quality diversity in reinforcement learning,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.606491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.066007Z digest=sha256:c3c75a6dfa87c12c3523a7efadbdf73edc3a8d9f7e7c67515db0bc361716c850

Observation ea8fe1ad-bafc-486d-963e-36c10af9010f · outbound

This paper cites Active model learning and diverse action sampling for task and motion plan- ning,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Active model learning and diverse action sampling for task and motion plan- ning,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.592745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.069994Z digest=sha256:e509cabdccc956377a7441928328f2ba012d5c4cfe29f84895fc4567d031c70b

Observation e01cbaee-e988-4eac-8291-c6d631ce45d4 · outbound

This paper cites Robotic vision for human-robot interaction and collaboration: A survey and systematic review,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Robotic vision for human-robot interaction and collaboration: A survey and systematic review,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:08.074050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:08.074050Z digest=sha256:38061c9b257738db49109b755917680b4ba3084b5f785a1438cfaf766072aa40

Observation 9764f914-2f53-4268-a020-4c0d56f41014 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Deep reinforcement learning: A brief survey,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:08.077969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:08.077969Z digest=sha256:11dd3cb1654378977c08300bc4bb100bb45e699a63da75603f078f8292feb2ac

Observation ddcd4502-e6a9-41ed-ac53-4f0a7dfa682a · outbound

This paper cites Dataset search: a survey,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Dataset search: a survey,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.561865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.082355Z digest=sha256:524fd8fcd01d7893afaf7dd0154254582c3fb53959f344a2cedabdeeed1b514f

Observation f1640ee3-8be7-48f6-ba7d-2db923b8caeb · outbound

This paper cites Advances in collaborative filtering,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Advances in collaborative filtering,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.547377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.086419Z digest=sha256:071e129b4d9934e6d4142f4f55d76cead01056b07b3ff6d6a88a569810892d3d

Observation bfecb549-2e29-4392-a699-729fd7ab0708 · outbound

This paper cites Faceted metadata for image search and browsing,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Faceted metadata for image search and browsing,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.534423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:32:08.090302Z digest=sha256:f571810f09ce571f88d4cf0cab1dcee803bc458b0d488c060cb838cd636493a5

Observation 0415c5a6-3e07-4f2a-b77c-4d247bf8356c · outbound

This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 71

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21722ba3-00b6-4c9c-8007-b45393c5187f · outbound

This paper cites Active preference-based gaussian process regression for reward learning and optimization,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Active preference-based gaussian process regression for reward learning and optimization,

Reference 72

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e78d154e-f155-4439-ac7a-b4b11a52d2d9 · outbound

This paper cites Team, “Kuri,” Aug 2018.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Team, “Kuri,” Aug 2018

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.497268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5bb6c394-0bee-43e6-817c-bbb0bfcf2956 · outbound

This paper cites POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors

Reference 74

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 643fd210-fb8e-457a-8567-86efe5b1089f · outbound

This paper cites Design metaphors for understanding user expectations of socially interactive robot embodiments,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Design metaphors for understanding user expectations of socially interactive robot embodiments,

Reference 75

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fe74190e-887b-4692-b98b-7d14e6a7ad11 · outbound

This paper cites Concerning trends in likert scale usage in human-robot interaction: Towards improving best practices,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Concerning trends in likert scale usage in human-robot interaction: Towards improving best practices,

Reference 76

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5a41e70f-8bcb-4453-a4b5-1c13887a431f · outbound

This paper cites Using exploratory search to learn representations for human preferences,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Using exploratory search to learn representations for human preferences,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.455527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a9e65a1d-c067-47be-a4d4-1ec42d9dc0ea · outbound

This paper cites X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0847e25-1c21-4ff7-b343-246d6907fb77 · outbound

This paper cites AST: Audio Spectrogram Transformer.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation AST: Audio Spectrogram Transformer

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cde5743f-305f-409d-b60c-7fa73b3adc4a · outbound

This paper cites Learning elastic embeddings for customizing on-device recommenders,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning elastic embeddings for customizing on-device recommenders,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.432770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ec4a76d7-dd11-4bec-a5d9-8218596ee434 · outbound

This paper cites Personalizing user engagement dynamics in a non-verbal communication game for cerebral palsy,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Personalizing user engagement dynamics in a non-verbal communication game for cerebral palsy,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.417962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ee0de3b5-4610-49bb-8498-7fbd6762053f · outbound

This paper cites Self-supervised pretraining improves self-supervised pretraining,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Self-supervised pretraining improves self-supervised pretraining,

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.404391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation eea44efe-cfd3-4d9b-b324-b4cacb066e91 · outbound

This paper cites Case-based explanation of non-case-based learning methods.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Case-based explanation of non-case-based learning methods

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.390602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ed981691-1b6f-4332-9729-5180d4dbe08c · outbound

This paper cites Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

Reference 84

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67abe660-1502-4782-a078-04e4d3bfc1f7 · outbound

This paper cites The bayesian case model: a generative approach for case-based reasoning and prototype classification,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation The bayesian case model: a generative approach for case-based reasoning and prototype classification,

Reference 85

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.376953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 83eee66a-cd31-42cc-8aa1-91adf741052c · outbound

This paper cites Generating visual explanations,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Generating visual explanations,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.363707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5d2b2e55-bc60-4dbb-a293-aab0a314f838 · outbound

This paper cites Distributed representations of words and phrases and their composi- tionality,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Distributed representations of words and phrases and their composi- tionality,

Reference 87

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no resolver link, observed 2026-08-10T22:32:08.162370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d5c83160-b9e1-43c7-a0e5-d9213578a7d8 · outbound

This paper cites Learning language-conditioned robot behavior from offline data and crowd- sourced annotation,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Learning language-conditioned robot behavior from offline data and crowd- sourced annotation,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.342108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 348ab21b-ca1d-4dfc-aff9-4cf34ea1629c · outbound

This paper cites Roboclip: One demonstration is enough to learn robot policies,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Roboclip: One demonstration is enough to learn robot policies,

Reference 89

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unresolved
no resolver link, observed 2026-08-10T22:32:08.171417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9fe326f6-dc66-4b9a-89a8-0e396e866cf9 · outbound

This paper cites Person search with natural language description,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Person search with natural language description,

Reference 90

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verified fuzzy
raw_fallback, observed 2026-08-10T22:32:08.320221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c61d6aa5-918a-4be2-9660-8444073f5233 · outbound

This paper cites Fast, cheap, and good: Why animated gifs engage us,.

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation Fast, cheap, and good: Why animated gifs engage us,

Reference 91

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raw_fallback, observed 2026-08-10T22:32:08.306557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.