Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T00:02:02.712285Z
Paper Citation Record · LEDGER
Bilevel Learning for Bilevel Planning
As of 18 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 5 inbound Pith citation observations for arXiv:2502.08697.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:00:47.994006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T17:27:14.845260Z
Reference resolution
66 of 66 outbound references displayed
- verified exact0
- verified fuzzy53
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0326365a-0a89-434e-9077-758fb111fa85 · outbound
This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.
Bilevel Learning for Bilevel Planning MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:01.959293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31b0a8b4-803e-4b6b-9a18-472fadb02788 · outbound
This paper cites Dif- fusion policy: Visuomotor policy learning via action diffusion.
Bilevel Learning for Bilevel Planning Dif- fusion policy: Visuomotor policy learning via action diffusion
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:04.039975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7df9b183-4647-4e4f-977e-30befc5ea49d · outbound
This paper cites Learning fine-grained bimanual manipulation with low-cost hardware.
Bilevel Learning for Bilevel Planning Learning fine-grained bimanual manipulation with low-cost hardware
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:04.024618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4567d14a-51e1-49f5-8ae3-75f869a276fe · outbound
This paper cites Equivariant Diffusion Policy.
Bilevel Learning for Bilevel Planning Equivariant Diffusion Policy
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:01.974683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 716a7269-828e-47a6-98d8-8ed082127130 · outbound
This paper cites EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning.
Bilevel Learning for Bilevel Planning EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:01.979758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df035090-0b92-49dd-ba8e-8073ee00bba2 · outbound
This paper cites What Planning Problems Can A Relational Neural Network Solve? In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), volume 36, 2024.
Bilevel Learning for Bilevel Planning What Planning Problems Can A Relational Neural Network Solve? In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), volume 36, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:04.009768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4d5e351d-b84b-45a7-88a9-36d879d980c7 · outbound
This paper cites LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation.
Bilevel Learning for Bilevel Planning LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.994572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 80f51088-a42f-4096-a682-0872851c023d · outbound
This paper cites Towards a unified theory of state abstraction for mdps.
Bilevel Learning for Bilevel Planning Towards a unified theory of state abstraction for mdps
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.979600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5540c254-5698-4e82-aaea-1e18e3513c62 · outbound
This paper cites State abstractions for lifelong reinforce- ment learning.
Bilevel Learning for Bilevel Planning State abstractions for lifelong reinforce- ment learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.964999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 99c1452d-d3ad-4fac-afbe-d4afbab2e437 · outbound
This paper cites From skills to symbols: Learning symbolic representations for abstract high-level planning.
Bilevel Learning for Bilevel Planning From skills to symbols: Learning symbolic representations for abstract high-level planning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.950414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 264217f9-0841-4f20-97f3-303dfdf38e82 · outbound
This paper cites Learning Grounded Action Abstrac- tions From Language.
Bilevel Learning for Bilevel Planning Learning Grounded Action Abstrac- tions From Language
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.935398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 744425cc-9f97-4f3b-8ee4-c2b27b790073 · outbound
This paper cites Discovering State And Action Abstractions For Generalized Task And Motion Planning.
Bilevel Learning for Bilevel Planning Discovering State And Action Abstractions For Generalized Task And Motion Planning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.920498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97c8481f-b937-4ffa-a03a-86b22b2c4401 · outbound
This paper cites Guiding Long-Horizon Task and Motion Planning with Vision Language Models, 2024.
Bilevel Learning for Bilevel Planning Guiding Long-Horizon Task and Motion Planning with Vision Language Models, 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.905829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5b160d9-2c7e-4cc9-b265-91b864b06b5f · outbound
This paper cites From Reals to Logic and Back: Inventing Symbolic V ocabularies, Actions and Models for Planning from Raw Data.
Bilevel Learning for Bilevel Planning From Reals to Logic and Back: Inventing Symbolic V ocabularies, Actions and Models for Planning from Raw Data
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.021533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc5fbc7a-0d1e-4059-bbe0-4f0e7be9513e · outbound
This paper cites Learning Symbolic Operators for Task and Motion Planning.
Bilevel Learning for Bilevel Planning Learning Symbolic Operators for Task and Motion Planning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.890708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c1da0b19-3b57-4001-a4e9-d29233096ce3 · outbound
This paper cites Tenenbaum, Tom´as Lozano-P´erez, and Leslie Pack Kaelbling.
Bilevel Learning for Bilevel Planning Tenenbaum, Tom´as Lozano-P´erez, and Leslie Pack Kaelbling
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.875999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8e3bd6a3-d139-462b-9a8c-2bbafcbec695 · outbound
This paper cites Predicate Invention for Bilevel Planning.
Bilevel Learning for Bilevel Planning Predicate Invention for Bilevel Planning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.861351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 541f9a5b-403b-4fbe-a2b1-7881cb7d6777 · outbound
This paper cites GLIB: Efficient Exploration for Relational Model-Based Rein- forcement Learning via Goal-Literal Babbling.
Bilevel Learning for Bilevel Planning GLIB: Efficient Exploration for Relational Model-Based Rein- forcement Learning via Goal-Literal Babbling
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.846961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 70ba1a4c-6702-4eeb-9b7c-ed56d64a698a · outbound
This paper cites Practice Makes Perfect: Planning To Learn Skill Parameter Policies.
Bilevel Learning for Bilevel Planning Practice Makes Perfect: Planning To Learn Skill Parameter Policies
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.832933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 303dba06-a92d-4d7a-8a53-eea8ed85deba · outbound
This paper cites Learning Efficient Abstract Planning Models That Choose What to Predict.
Bilevel Learning for Bilevel Planning Learning Efficient Abstract Planning Models That Choose What to Predict
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.818007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a108b778-3859-451f-a05f-3eb4141e533a · outbound
This paper cites VisualPredicator: Learning Abstract World Models With Neuro-Symbolic Predicates For Robot Planning, 2024.
Bilevel Learning for Bilevel Planning VisualPredicator: Learning Abstract World Models With Neuro-Symbolic Predicates For Robot Planning, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.803533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 45328fc2-1f90-45c9-b959-eb963ad11f8c · outbound
This paper cites Active learning for teaching a robot grounded relational symbols.
Bilevel Learning for Bilevel Planning Active learning for teaching a robot grounded relational symbols
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.788351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 334e3079-9ece-4fa6-a929-20fe5b30c823 · outbound
This paper cites From skills to symbols: Learning symbolic representations for abstract high-level planning.
Bilevel Learning for Bilevel Planning From skills to symbols: Learning symbolic representations for abstract high-level planning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.773870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc4614d0-aec0-4fbb-a6fd-3fbca09455b1 · outbound
This paper cites Embodied Active Learning of Relational State Abstractions for Bilevel Planning.
Bilevel Learning for Bilevel Planning Embodied Active Learning of Relational State Abstractions for Bilevel Planning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.759222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a332e0f7-2085-4d34-9f74-f4dd6123d8ee · outbound
This paper cites InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning.
Bilevel Learning for Bilevel Planning InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.257233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ebb3843-8fcf-49d8-b65e-6338c81d83a0 · outbound
This paper cites Grounding Predi- cates through Actions.
Bilevel Learning for Bilevel Planning Grounding Predi- cates through Actions
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.744638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f1ba871-3f0c-4294-8692-0278e7b569d2 · outbound
This paper cites Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary.
Bilevel Learning for Bilevel Planning Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.730233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 27a1ec22-b6c4-4ac3-a815-91d326191c2e · outbound
This paper cites Unsupervised Grounding of Plannable First-Order Logic Representation From Images.
Bilevel Learning for Bilevel Planning Unsupervised Grounding of Plannable First-Order Logic Representation From Images
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.715223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85c202c9-dca0-4b79-9623-e5a81aaa8691 · outbound
This paper cites Learning Neural- Dymbolic Descriptive Planning Models via Cube-Space Priors: the V oyage Home (to STRIPS).
Bilevel Learning for Bilevel Planning Learning Neural- Dymbolic Descriptive Planning Models via Cube-Space Priors: the V oyage Home (to STRIPS)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.700663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b64f9f0-bc78-4e11-86f2-a6bf03d1ca08 · outbound
This paper cites Bisimulation Makes Analogies in Goal-conditioned Reinforcement Learning.
Bilevel Learning for Bilevel Planning Bisimulation Makes Analogies in Goal-conditioned Reinforcement Learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.685952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 926c4f14-35f1-41e8-9c48-36d556b8e4c0 · outbound
This paper cites Predicate Invention from Pixels via Pretrained Vision- Language Models.
Bilevel Learning for Bilevel Planning Predicate Invention from Pixels via Pretrained Vision- Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.331349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fe75e69-dc02-4643-9bb8-6acb04dd54a3 · outbound
This paper cites Tenenbaum, Tom ´as Lozano-P´erez, and Leslie Pack Kaelbling.
Bilevel Learning for Bilevel Planning Tenenbaum, Tom ´as Lozano-P´erez, and Leslie Pack Kaelbling
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.670631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 931b0a2a-f353-45cd-be28-fe1ec787192b · outbound
This paper cites Integrated Task and Motion Planning.
Bilevel Learning for Bilevel Planning Integrated Task and Motion Planning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.655638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e3b8946a-4a4c-49b2-b1f0-e0bd42eb1aa6 · outbound
This paper cites The Fast Downward Planning System.
Bilevel Learning for Bilevel Planning The Fast Downward Planning System
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.641328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1e44301e-8acb-4c70-8a27-11c1481fb1d7 · outbound
This paper cites Divergence Measures based on the Shannon Entropy.
Bilevel Learning for Bilevel Planning Divergence Measures based on the Shannon Entropy
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.627207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b1b0e948-9031-42d0-974c-4e43a648ab9f · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Bilevel Learning for Bilevel Planning Adam: A Method for Stochastic Optimization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.352118Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8f42a3c-6364-4135-af7f-09659ee6d0d0 · outbound
This paper cites Learning Representations by Back-propagating Errors.
Bilevel Learning for Bilevel Planning Learning Representations by Back-propagating Errors
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.613560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 00a61b2d-735b-48fe-b9d4-d17c62afb946 · outbound
This paper cites Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search.
Bilevel Learning for Bilevel Planning Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.599355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 31b455eb-09bd-4380-bdae-bffc7b6a478b · outbound
This paper cites Mastering the Game of Go without Human Knowledge.
Bilevel Learning for Bilevel Planning Mastering the Game of Go without Human Knowledge
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.584454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd7120fd-3e4e-4f23-9ebb-22c0ad794732 · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
Bilevel Learning for Bilevel Planning Relational inductive biases, deep learning, and graph networks
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.370621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcb2ec7f-4e2e-4bcc-8bdf-8de31168ef10 · outbound
This paper cites Attention is All You Need.
Bilevel Learning for Bilevel Planning Attention is All You Need
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.570113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 84da41bf-2548-410c-8a30-61fc3c31f0b3 · outbound
This paper cites Language Segment-Anything.
Bilevel Learning for Bilevel Planning Language Segment-Anything
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.555057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f9f3b928-b772-40e5-8316-fe629386fddd · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Bilevel Learning for Bilevel Planning SAM 2: Segment Anything in Images and Videos
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.385466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0730161-90a8-4444-8f8e-a9ac27596195 · outbound
This paper cites Hi- erarchical Task and Motion Planning in the Now.
Bilevel Learning for Bilevel Planning Hi- erarchical Task and Motion Planning in the Now
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.540368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08709afb-bbfd-4c04-b0d2-71b94608cef7 · outbound
This paper cites Relay Policy Learning: Solv- ing Long-Horizon Tasks via Imitation and Reinforcement Learning.
Bilevel Learning for Bilevel Planning Relay Policy Learning: Solv- ing Long-Horizon Tasks via Imitation and Reinforcement Learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.524580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation af89e26f-eed6-4db9-b055-9049d1b771d4 · outbound
This paper cites Augment- ing Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks.
Bilevel Learning for Bilevel Planning Augment- ing Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.509365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 22e74c44-d1fc-449d-b250-19e5d666ed63 · outbound
This paper cites Neural Logic Machines.
Bilevel Learning for Bilevel Planning Neural Logic Machines
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.494687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e3239d39-70fe-4543-b9d2-cd750de34acd · outbound
This paper cites Directed-Info GAIL: Learning Hierar- chical Policies from Unsegmented Demonstrations using Directed Information.
Bilevel Learning for Bilevel Planning Directed-Info GAIL: Learning Hierar- chical Policies from Unsegmented Demonstrations using Directed Information
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.480811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b67e16e-219f-4432-879a-af83de231bc7 · outbound
This paper cites Compile: Compositional Imitation Learning and Execution.
Bilevel Learning for Bilevel Planning Compile: Compositional Imitation Learning and Execution
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.465799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8e6f83c-2ae8-4e7d-bf34-74856bca85f4 · outbound
This paper cites PDSketch: Integrated Domain Programming, Learning, and Planning.
Bilevel Learning for Bilevel Planning PDSketch: Integrated Domain Programming, Learning, and Planning
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.450762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fbbe30fd-8da4-4eba-80e7-9fd3ac01f6fa · outbound
This paper cites BLADE: Learning Compositional Behaviors from Demonstration and Language.
Bilevel Learning for Bilevel Planning BLADE: Learning Compositional Behaviors from Demonstration and Language
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.435543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 38a74271-8fa9-47a3-96a3-284f4c9ab682 · outbound
This paper cites Keypoint Abstraction using Large Models for Object-Relative Imitation Learning.
Bilevel Learning for Bilevel Planning Keypoint Abstraction using Large Models for Object-Relative Imitation Learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.441073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7ef2d09-9bc0-4442-b7a1-cfbe2676eb1b · outbound
This paper cites Gener- alized Planning in PDDL Domains with Pretrained Large Language Models.
Bilevel Learning for Bilevel Planning Gener- alized Planning in PDDL Domains with Pretrained Large Language Models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.420376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e190f1f7-7668-4561-90db-6eff55621c47 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Bilevel Learning for Bilevel Planning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.403843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6302c8cb-a72e-4e4e-9a39-eaab1e11a65b · outbound
This paper cites V oxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.
Bilevel Learning for Bilevel Planning V oxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.345882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5406b303-0436-4e37-9c41-6f9c14b71bb2 · outbound
This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.
Bilevel Learning for Bilevel Planning Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.506842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9130dc0e-c63e-46d2-89b6-2cce8b41c63a · outbound
This paper cites Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints.
Bilevel Learning for Bilevel Planning Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.299133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fbdadb50-cc9d-45e3-ae10-d27d95dae3df · outbound
This paper cites Pddlstream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning.
Bilevel Learning for Bilevel Planning Pddlstream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.283063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 86c4d678-dc42-4bf9-b633-e65007eac2fc · outbound
This paper cites Howe, Craig A.
Bilevel Learning for Bilevel Planning Howe, Craig A
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.269228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 30457b50-e26d-44b6-81d4-cd215f6cbf1a · outbound
This paper cites Anytime Motion Plan- ning using the RRT.
Bilevel Learning for Bilevel Planning Anytime Motion Plan- ning using the RRT
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.254039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 98133825-cf77-4f0c-8f51-da39b9721b0d · outbound
This paper cites Skill-based curiosity for intrinsically motivated reinforcement learning.
Bilevel Learning for Bilevel Planning Skill-based curiosity for intrinsically motivated reinforcement learning
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.237553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1b0df965-515b-4cde-ac18-31cec39199a5 · outbound
This paper cites an unresolved cited work.
Bilevel Learning for Bilevel Planning Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T00:02:03.222191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eae53c3a-5bc0-4270-b721-8bec9c026028 · outbound
This paper cites Hybrid Declarative-Imperative Representations for Hybrid Discrete-Continuous Decision- Making.
Bilevel Learning for Bilevel Planning Hybrid Declarative-Imperative Representations for Hybrid Discrete-Continuous Decision- Making
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.207468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0a4183f1-ae7a-4bbc-b0dd-ea14d8dba546 · outbound
This paper cites Accelerating 3D Deep Learning with PyTorch3D.
Bilevel Learning for Bilevel Planning Accelerating 3D Deep Learning with PyTorch3D
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:02:02.701278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23e4bab2-569f-4fd2-a3b6-677c68b2bfbf · outbound
This paper cites Pointnet: Deep Learning on Point Sets for 3D Classification and Segmentation.
Bilevel Learning for Bilevel Planning Pointnet: Deep Learning on Point Sets for 3D Classification and Segmentation
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.191507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8d51992-c589-4f38-aab1-d642afbf875e · outbound
This paper cites grounded on.
Bilevel Learning for Bilevel Planning grounded on
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:02:03.174874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 55c565a1-5bab-4b4d-8a9c-4fb60c351f44 · inbound
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance cites this paper.
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance Bilevel Learning for Bilevel Planning
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:00:47.994006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85f9aea1-a2d2-4b68-a08e-1230a856a198 · inbound
Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories cites this paper.
Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories Bilevel Learning for Bilevel Planning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:08:21.427216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 268a69ea-c732-49c7-a9d4-d401610b4903 · inbound
Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs cites this paper.
Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs Bilevel Learning for Bilevel Planning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:35:57.417210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ed6e7735-852e-4f3e-a9d4-68d2d292925e · inbound
Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming cites this paper.
Learning Compositional Symbolic Task Rules from Demonstrations with Inductive Logic Programming Bilevel Learning for Bilevel Planning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:53:41.325972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f2311c5-76f7-49f2-92e2-cf25cb7c8283 · inbound
Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints cites this paper.
Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints Bilevel Learning for Bilevel Planning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:27:14.847930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.