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Paper Citation Record · LEDGER

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning

As of 11 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 0 inbound Pith citation observations for arXiv:2607.06501.

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

pith.paper-citation-record.v1
2607.06501 v1

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T00:18:08.485089Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 102 outbound references displayed

  • verified exact16
  • verified fuzzy72
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aea881c8-b91f-4c42-922c-ffa368c53292 · outbound

This paper cites From pixels to predicates: Learn- ing symbolic world models via pretrained vlms.IEEE Robotics and Automation Letters, 2026.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning From pixels to predicates: Learn- ing symbolic world models via pretrained vlms.IEEE Robotics and Automation Letters, 2026

Reference 1

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Observation fcfcf241-972d-42c3-98a5-3a7e109bc111 · outbound

This paper cites Active visual object search in unknown environments using uncertain semantics.IEEE Transactions on Robotics, 29(4):986–1002, 2013.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Active visual object search in unknown environments using uncertain semantics.IEEE Transactions on Robotics, 29(4):986–1002, 2013

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c76672b7-7d16-4dab-9513-62f6ffe012d0 · outbound

This paper cites Qwen3-vl technical report.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Qwen3-vl technical report

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a57f597a-b067-47b8-916a-442a83a25d9e · outbound

This paper cites Qwen3-VL Technical Report.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Qwen3-VL Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.664227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 41655b06-64e7-4a18-adf7-9b637d15a1f6 · outbound

This paper cites Autogpt+ p: Affordance-based task plan- ning with large language models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Autogpt+ p: Affordance-based task plan- ning with large language models

Reference 5

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:f5406c8086eaa60a3c91f39693c4ec79c305e87784afe94a6b65e89cfa9110ee

Observation 5205339a-2b7f-460d-959b-25d68e58736b · outbound

This paper cites Answer set programming at a glance.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Answer set programming at a glance

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 24dceb17-dfb7-4201-926d-6eba9b6b2bf4 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Do as i can, not as i say: Grounding language in robotic affordances

Reference 7

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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 2026-08-11T06:34:44.6726+00:00.

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Observation 3004d996-9946-42a1-9377-7a8a5b17f5a6 · outbound

This paper cites Language-augmented symbolic planner for open-world task planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Language-augmented symbolic planner for open-world task planning

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4130d129-e6bd-4922-9a9b-52eff9a0d721 · outbound

This paper cites Situated bayesian reasoning framework for robots operating in diverse everyday environments.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Situated bayesian reasoning framework for robots operating in diverse everyday environments

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 91a463d6-c1c7-4a22-a200-a6eafc10843f · outbound

This paper cites Generalised do- main model acquisition from action traces.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Generalised do- main model acquisition from action traces

Reference 10

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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 2026-08-11T06:34:44.6726+00:00.

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Observation 77b6204a-28df-4a3a-b426-7cca30a9d688 · outbound

This paper cites Trust the proc3s: Solving long-horizon robotics problems with llms and constraint satisfaction.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Trust the proc3s: Solving long-horizon robotics problems with llms and constraint satisfaction

Reference 11

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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 2026-08-11T06:34:44.6726+00:00.

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Observation 59e8090a-22f6-4a1d-a00e-f97099717bca · outbound

This paper cites Partially observable task and motion planning with uncertainty and risk awareness.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Partially observable task and motion planning with uncertainty and risk awareness

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d85a1918-01c1-461f-9999-b4fc9e804f70 · outbound

This paper cites Llm-guided probabilistic program induction for pomdp model estimation.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Llm-guided probabilistic program induction for pomdp model estimation

Reference 13

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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 2026-08-11T06:34:44.6726+00:00.

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Observation d3392c79-c2e0-4035-ba29-34e7b48df8a6 · outbound

This paper cites Embodied question answering.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Embodied question answering

Reference 14

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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 2026-08-11T06:34:44.6726+00:00.

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Observation 6fd3689e-6bd3-45b3-8cc3-118903368284 · outbound

This paper cites Procthor: large-scale embodied ai using procedural generation.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Procthor: large-scale embodied ai using procedural generation

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ffd2cb9b-16ee-4b27-8908-394d4c6679e6 · outbound

This paper cites Procthor: Large-scale embodied ai using procedural gen- eration.Advances in Neural Information Processing Systems, 35:5982–5994, 2022.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Procthor: Large-scale embodied ai using procedural gen- eration.Advances in Neural Information Processing Systems, 35:5982–5994, 2022

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bde3f545-5ee3-408d-b7a0-5d713b7920da · outbound

This paper cites Automated generation of robotic planning do- mains from observations.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Automated generation of robotic planning do- mains from observations

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4dec85b2-12ad-4dc6-a9cd-9f0902fb7992 · outbound

This paper cites Integrating action knowledge and llms for task planning and situation handling in open worlds.Au- tonomous Robots, 47(8):981–997, 2023.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Integrating action knowledge and llms for task planning and situation handling in open worlds.Au- tonomous Robots, 47(8):981–997, 2023

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9078c7dc-facb-45cb-a55d-5df4c7969f0c · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning PaLM-E: An Embodied Multimodal Language Model

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1323cbe4-d864-4923-8dd0-39c29019297e · outbound

This paper cites University of Massachusetts Amherst, 2002.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning University of Massachusetts Amherst, 2002

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a71552ee-8b82-4fa0-952d-2ca1d8fa5ee4 · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d12f97f8-033b-4b16-9aed-8b55f520a626 · outbound

This paper cites Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1b5c4be5-43e4-44c7-ac80-6f59975f1312 · outbound

This paper cites Online replanning in belief space for partially observable task and motion problems.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Online replanning in belief space for partially observable task and motion problems

Reference 23

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b6dbcaa6a54ef3a77401ce405194aa706bcbdc05cfd68bc4e944ed7d9fe5da60

Observation 60bde9c6-d47e-407e-a39c-7f312a71d2f4 · outbound

This paper cites Integrated task and motion plan- ning.Annual review of control, robotics, and autonomous systems, 4(1):265–293, 2021.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Integrated task and motion plan- ning.Annual review of control, robotics, and autonomous systems, 4(1):265–293, 2021

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 33712fec-8707-435f-800a-f46449de8787 · outbound

This paper cites Improved techniques for grid mapping with rao- blackwellized particle filters.IEEE transactions on Robotics, 2007.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Improved techniques for grid mapping with rao- blackwellized particle filters.IEEE transactions on Robotics, 2007

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 728340cd-864c-4dca-910f-e25cb048d996 · outbound

This paper cites Ros navigation: Concepts and tutorial.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Ros navigation: Concepts and tutorial

Reference 26

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verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.247634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 22c22193-0396-4c57-a892-ba0ec49cbe92 · outbound

This paper cites The fast downward planning system.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning The fast downward planning system

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.457155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 76f12a53-c5eb-4efa-ba21-edeca626b542 · outbound

This paper cites Vectorized Online POMDP Planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Vectorized Online POMDP Planning

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.693577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:aeeb143cb1a14ba5a49d38bff8209f22c1afa03264dbc7f3084050a86dbc3b1f

Observation 4f38392d-922b-4289-a0a3-91e9df37637a · outbound

This paper cites Language models as zero-shot planners: Extracting actionable knowledge for embodied agents.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.488640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:d10e581c684d906dc30cc72658c7ab3d6685deda2b667c69ab12e98b26540201

Observation 0267b05a-e6b0-49ac-a6a9-cae6d2baca17 · outbound

This paper cites Inner monologue: Embodied reasoning through planning with language models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Inner monologue: Embodied reasoning through planning with language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.737416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:23888496304a8a3d3bf0cba32aae38e02ce308d3be4436203b520d2e23c59174

Observation c4b311f9-ac5b-4981-8405-f4341de3e254 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.722712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:85be8d92cfd117ae3e584ac0333fbbd328565fa3f496e2ab1b832b565da1f640

Observation 5c770844-3920-4e82-b2ac-3deed53031e9 · outbound

This paper cites Open-world reasoning for service robots.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Open-world reasoning for service robots

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.780989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:65588eaf53dbcdf7029412a74098fe37165375fd6f7fa4d0ca2a43472fdd1d7a

Observation f925b0b4-a234-4e81-82f0-eb46a9b09c47 · outbound

This paper cites Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.600758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:f9d75d818b473118d69838023edc20e48223ad35a68bb45916ac31af70be48e9

Observation c8613774-9991-4885-a345-c66a22879a51 · outbound

This paper cites Inte- grated task and motion planning in belief space.The International Journal of Robotics Research, 32(9-10): 1194–1227, 2013.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Inte- grated task and motion planning in belief space.The International Journal of Robotics Research, 32(9-10): 1194–1227, 2013

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.805092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:515c05d74fe3afcf2ef18c602b743f0a131aab856ab7c5282d004f79eb76cea5

Observation a0b18433-270a-4244-8a22-c80af53f97f7 · outbound

This paper cites Segment anything.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Segment anything

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.870579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:f90e8d314d2bcbdf8b88e1d931972f29ec06a3cfb818466e9e8008d355feb0a6

Observation bcfc80ab-b1d3-4099-9c1b-1ae9aa03c2f6 · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.633766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b9a2f73cc65a390e126e060abd324de41b3ea04f17d9aca80f97988c4e9078a0

Observation aac79271-ce62-4bf0-b318-dbd7f3f39d72 · outbound

This paper cites Open-world task and motion plan- ning via vision-language model generated constraints.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Open-world task and motion plan- ning via vision-language model generated constraints

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.838885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:6097fd0b2758499bfb58548fbc9ddf8d09ac6be230aafebde1ad1395bb02b44d

Observation 43f4f218-736c-4ac4-8357-f627fde8a35a · outbound

This paper cites Kinodynamic task and motion planning using vlm-guided and interleaved sampling.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Kinodynamic task and motion planning using vlm-guided and interleaved sampling

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.121089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:1ebf014322f414a5ff24a0bc9607ab930b1891f7c06df3246c7e7f3ff37960df

Observation 1fc66d08-d664-42a5-a4a1-3df3c6606368 · outbound

This paper cites Code as policies: Language model programs for em- bodied control.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Code as policies: Language model programs for em- bodied control

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.940036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:cd90d3302c37ddc33ae858913c1ae980f0e170a7a191a22a3871efca964c7bab

Observation b9c4443e-3c04-4c01-8afd-5ff3c291e2ca · outbound

This paper cites Visualpredicator: Learning abstract world models with neuro-symbolic predicates for robot planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Visualpredicator: Learning abstract world models with neuro-symbolic predicates for robot planning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.642617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:a0a765e4a075780196a0cc9eeed7ab413b899bfae1adc4b39d2094a3bb4bb67a

Observation 2c6ef8c3-4d72-4125-85ac-fdecac99b7a5 · outbound

This paper cites Microsoft coco: Common objects in context.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Microsoft coco: Common objects in context

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.511699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:10be5b4142e0ecee654a04affc07763a560e8a7006913943b78d24e00707f755

Observation 3c63efe9-95b6-46f1-93e8-2f326039b35a · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.571716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:6f9fd6fecc30a28cfbae1199ae1f6d6ea6d5b5f0fd89fb5c846696505ad6eb4b

Observation fc7dfe1f-be66-4bf2-9417-119d4239d845 · outbound

This paper cites Learning compositional behaviors from demonstration and language.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Learning compositional behaviors from demonstration and language

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.283069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:383bd7fa4051c0e3826a57f095e7800722176e2993f2487aee8ed296a5b7a7ee

Observation 4eb4126d-3565-4c0d-9b87-5a946a63c61d · outbound

This paper cites Uncertainty quantification and confidence calibration in large language models: A survey.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Uncertainty quantification and confidence calibration in large language models: A survey

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.525958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b61984c82e460f3ee9b07e1dd9cce121ea676c8e25aa11b3571349dea90c620b

Observation eea522c6-539e-4026-9590-2a3223f13f39 · outbound

This paper cites Reflect: Summarizing robot experiences for failure explanation and correction.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Reflect: Summarizing robot experiences for failure explanation and correction

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.921713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:9ce4b5e1cdf832b79cc218e2c602e9bd18ca7707d622af17646e95fbff0dfa29

Observation 7c2d6767-73c4-4b79-b4c2-854aef7a981a · outbound

This paper cites gnss lib py: Analyzing gnss data with python.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning gnss lib py: Analyzing gnss data with python

Reference 46

Resolution
metadata mismatch
doi, observed 2026-07-11T00:27:49.629771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:468c2f67dc7c0fcbdd773c740ac2938dcc50476f98405a5f5927410b07b5b4c8

Observation 928c0000-ed42-456e-9ec1-d125e64fe304 · outbound

This paper cites Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.158135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:bad7284449b258c88e9cdf1e760153534e96cffc7cf97f5eb6505781472aada5

Observation ecb42de3-f6b3-4944-be5e-6cdfc4371f97 · outbound

This paper cites Behavior trees in robot control systems.Annual Review of Control, Robotics, and Autonomous Systems, 5(1):81–107, 2022.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Behavior trees in robot control systems.Annual Review of Control, Robotics, and Autonomous Systems, 5(1):81–107, 2022

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.790037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:897418a4faec27a7ecb6a21d10a1efdcb12d69b6fc98f1ecd7ac63760ceeb1d9

Observation 59caeb1f-a6a7-49f4-83dd-6722e517e5b3 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.729634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:c54adcb669641e13b7b6b37eb51fb0a7aad1d4b0a6370c3edb1a4b2a760c85fc

Observation a3840720-8004-49c6-aca0-8a2cf223a8e9 · outbound

This paper cites Explore until confident: Efficient exploration for embodied question answering.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Explore until confident: Efficient exploration for embodied question answering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.888030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:cd426abe68cc478975df760eff48a7db13829612f1429a26c97d4df827f66229

Observation fd000241-9e86-4af6-8909-d686f584d3bc · outbound

This paper cites Heuristics for numeric planning via subgoaling.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Heuristics for numeric planning via subgoaling

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.822456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:beb65760d34ce57de3eb5589d1054ae6d7d8304694634283e92530d2d0402aa8

Observation a083ca74-eebd-4499-bcbe-5b8f10be4d58 · outbound

This paper cites TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-30T01:16:53.160659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:5cb4fa936be6b107a3476d1c500e97c4633cb2041f1c4d4cd824a7bfa1a68a70

Observation 05f4821b-34a4-4e13-90dc-b921bcee112d · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.672702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:3a0aca0de283c1b1bc58182a407cc6c5b2847f7268cc9327e7b66675c8d168e7

Observation dcfaed51-5084-470d-b64d-58b436acb603 · outbound

This paper cites Pddl planning with pretrained large language models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Pddl planning with pretrained large language models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.705815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:bd111ce395d3a2b3ef7da93b45756192239bdd334be450c2b12fa612b5e8fd77

Observation f9ca6c90-498c-4708-a755-d40efff21362 · outbound

This paper cites Generalized Planning in PDDL Domains with Pretrained Large Language Models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Generalized Planning in PDDL Domains with Pretrained Large Language Models

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:27:51.647776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:118860062a695c511a815012c9c1d362c77f495c27e739507debea54fe1db844

Observation 7d955b5c-69a7-436e-b3e0-22b0b8a0c238 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Progprompt: Generating situated robot task plans using large language models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.602996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:1778224bdaadde743b91f9591a5c553e0287581eedcbb6a7a6d42ea296985e79

Observation c3ddbdd0-a1c1-4fba-85da-8ec2077609ed · outbound

This paper cites Sadler, Wei-Lun Chao, and Yu Su.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Sadler, Wei-Lun Chao, and Yu Su

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.571535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:f0002ade96b99c3c4c73253f3a9fbf96ded043b6fd835169cfbcaf1d0334f960

Observation 8d857584-a16b-47c5-b923-d0621cf4ebff · outbound

This paper cites Interactive planning using large language models for partially observable robotic tasks.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Interactive planning using large language models for partially observable robotic tasks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.757429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b21d77027918c107042b333fd031673bbe1dd3a99def833c1362d4ac25c409d3

Observation 89a8255a-fd6a-4cce-85db-e332cbeec63f · outbound

This paper cites Tru-pomdp: Task planning under uncertainty via tree of hypotheses and open-ended pomdps.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Tru-pomdp: Task planning under uncertainty via tree of hypotheses and open-ended pomdps

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.053267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:cae10b556fc0c2c556d6471945748f664f29fbb35194cfacf4b63c404676a387

Observation 975f68e9-8f1e-43bd-a164-f7664975485d · outbound

This paper cites 10610948.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning 10610948

Reference 60

Resolution
malformed identifier
arxiv_id, observed 2026-07-11T00:27:51.597430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:66bb343af2a4fcea6982c1eba2d45eb843bceea4b27b64b373930beb615c0a50

Observation 79bf3ca0-17ff-43b9-ba6e-75662b33b4ac · outbound

This paper cites Robot placement based on reachability inversion.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Robot placement based on reachability inversion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.987928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:6c767f3011e10228adbac7f6a9c97b654f69f7c68d5028a1a24aa97a54ff5705

Observation 8032207b-cfa7-4b3b-8753-16c98df2f447 · outbound

This paper cites Chatgpt for robotics: Design principles and model abilities.Microsoft Auton.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Chatgpt for robotics: Design principles and model abilities.Microsoft Auton

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.320124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:332776f514a7e832a2c0f8dac86bc337bf75fd4ed9aa49d3ff7bbb898d6c7fca

Observation 9f1147b2-f35d-4d86-b68d-1e7de66f2c38 · outbound

This paper cites Multi-object search using object-oriented pomdps.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Multi-object search using object-oriented pomdps

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.822860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:c3b622a38675bdb62ef2fac9bdacaf7d7b117dcde3e6747ed9dbb450f8e3a650

Observation eaf50607-8f8c-492e-ad09-e93bffb1360c · outbound

This paper cites Describe, explain, plan and select: interactive planning with large language models enables open-world multi-task agents.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Describe, explain, plan and select: interactive planning with large language models enables open-world multi-task agents

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.918881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:eda33699535ff4ad777154adb29ea7d220b769a6e91e7e0e38a9ec82a5ad6c9f

Observation 7cb7c21c-af15-40b4-a512-8072606be888 · outbound

This paper cites Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.707819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:159f3522e97902d6072f7b613d5e00a30f4bd80cbd895e1a68c735cae166ef3b

Observation 7a532504-ae61-4a3f-8cff-b191ea197d1b · outbound

This paper cites Fetch and freight: Standard platforms for service robot applications.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Fetch and freight: Standard platforms for service robot applications

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.684800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:4c3aeefbbd59f98f573844387abdf818c1dd952bea9056ca268826c921985db4

Observation 8afda83b-602a-4f39-b132-638a7878b610 · outbound

This paper cites Manipulation-based active search for occluded objects.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Manipulation-based active search for occluded objects

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.322762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:d90dc65c83b096331217776db46b3d63fac8584f1f274b57ba6600fdcdeb8808

Observation c11f3004-7cb2-4b4d-8548-57e73a25f3cf · outbound

This paper cites Learning adaptive planning representations with natural language guidance.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Learning adaptive planning representations with natural language guidance

Reference 68

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verified exact
local_arxiv, observed 2026-07-11T00:27:51.811128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:12437253e1e18dfb5ac8c5bccc818f46c8e29a873bb7b3840938e0f96e45a9e2

Observation a6533ae3-05d8-4f94-bae6-8b9ab01e9506 · outbound

This paper cites Translating Natural Language to Planning Goals with Large-Language Models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Translating Natural Language to Planning Goals with Large-Language Models

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.839331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:1236fc9fc726deed47794685a3578cdd0a4cf465a886bf37838e35e4ac816f6c

Observation 69476454-f941-4217-b1ed-84c5364d78d0 · outbound

This paper cites Guiding long- horizon task and motion planning with vision language models.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Guiding long- horizon task and motion planning with vision language models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.530833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:54b64f67850d7d918eb5beab5258b82b67633c28f87632195b9f30389babe2e7

Observation 53dd7a60-7222-42bd-8464-429305c1a299 · outbound

This paper cites SkillWrapper: Generative Predicate Invention for Task-level Robot Planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning SkillWrapper: Generative Predicate Invention for Task-level Robot Planning

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.751860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:5d8b52aacac9293523f764c8763499d8fe395adf27dd909e7ca880cb6502885a

Observation 95472f5a-0fe3-4ad5-88c2-81755a298a62 · outbound

This paper cites Unidomain: Pretraining a unified pddl domain from real-world demonstrations for generalizable robot task planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unidomain: Pretraining a unified pddl domain from real-world demonstrations for generalizable robot task planning

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.485893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:69f20d762289cbfd504fb8497d9598ac12e630caaf3b6d04101f277ae1530a68

Observation fc933045-2b33-4f00-9509-02d21078c9e9 · outbound

This paper cites Uniplan: Vision-language task plan- ning for mobile manipulation with unified pddl formulation.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Uniplan: Vision-language task plan- ning for mobile manipulation with unified pddl formulation

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-11T00:27:51.867652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:99f70c2da6218d6a75042dc73b9bf18c7e1d3d6d4aef1445f6dabf59c520034c

Observation db3e781e-88a7-472c-9e84-437b7b96631c · outbound

This paper cites Ff- replan: A baseline for probabilistic planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Ff- replan: A baseline for probabilistic planning

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.847614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:7758a8b54272c0d9ffb3c90ab7bae6e3c5a449411c5f28f8a8a2bfb23c17529b

Observation 2263dd9f-a5ad-4415-a782-10f21d785926 · outbound

This paper cites Rational Inverse Reasoning: Few-Shot Imitation by Inferring Intent through Planning.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Rational Inverse Reasoning: Few-Shot Imitation by Inferring Intent through Planning

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.897133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:7e06a441cac08e618f15ad70962057e7d6538ed02bd2aacbea927d7a4785975d

Observation b8f41477-43a6-48d1-ae83-212194532d12 · outbound

This paper cites Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:51.780576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:307c1664be859ce5ab57965e525ad39f78cdb34b7524f53e6168d53a890cd966

Observation 6f16fafe-5cb0-40a3-8146-4bf56fae8181 · outbound

This paper cites Large language models as commonsense knowledge for large- scale task planning.Advances in Neural Information Processing Systems, 36, 2024.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Large language models as commonsense knowledge for large- scale task planning.Advances in Neural Information Processing Systems, 36, 2024

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.691114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:7e65b676fc575bf2074497e505787b78663fe0944369a57dfb977c022b882fe5

Observation ef116509-7c47-4a34-accd-52fe5cd672a6 · outbound

This paper cites Language models can infer action semantics for symbolic planners from environment feedback.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Language models can infer action semantics for symbolic planners from environment feedback

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:54.856207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:5bacf4cc705dfe59931665e5dfebe65e98441825b3df51d51caaba2c0bb72ec0

Observation c5311b26-f0fc-4eb3-86df-b1e8d694101d · outbound

This paper cites zero-sugar.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning zero-sugar

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:49.035348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:8a90102858aa9bba263861241305f9513dbe36d0a7a01238745cf0a8545525f8

Observation e0d12cc3-36ca-42f1-a544-0627bc6c274d · outbound

This paper cites Its base is a differential-drive mobile platform, and it is equipped with a 1-DOF torso, a 7-DOF arm with parallel-jaw gripper.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Its base is a differential-drive mobile platform, and it is equipped with a 1-DOF torso, a 7-DOF arm with parallel-jaw gripper

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.613077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:170e41788f26e2988cd90b3b3b60a3ba5abb85a319df461f5cf1b5caba5a703e

Observation e02fec94-c92c-46e8-877c-3feb8a47f7bb · outbound

This paper cites To simulate imperfect real-world recognition, labels are removed from a randomly selected half of the processors.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning To simulate imperfect real-world recognition, labels are removed from a randomly selected half of the processors

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.432032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:c2f7e73c0737fb7a341aadaf0fbdd512b23f258f674f8c1e73fba3b2ca982415

Observation 8f3ceb29-18f4-4d44-ad44-5264f787343e · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:47:48.755815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b8b9a8c01fa26fc8d8ca8001f755304c78a57802dcbb630ff290b1c08fe23bc7

Observation 3f37ffff-17c7-4324-8a13-1d6e47f4c16e · outbound

This paper cites In this demo, we use the Autolife S2 humanoid robot, which features an omnidirectional base, a 4-DOF torso, and two 7-DOF arms.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning In this demo, we use the Autolife S2 humanoid robot, which features an omnidirectional base, a 4-DOF torso, and two 7-DOF arms

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.989161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:7bafdf1bd1b3a8758f07dcd799f9c0b2f792b7b1ba373676d87c3c549d6b31c4

Observation 2fa1c850-b033-4e53-814b-73d345d22c17 · outbound

This paper cites Defrost the food for 40 seconds.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Defrost the food for 40 seconds

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:49.057065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:529e34f0783a3c9b6c38dc71eb183a4adc4d15a8ca021d39ca5f32441395f599

Observation 0f5701c0-e0c0-4a2d-8cb6-eb88075c3595 · outbound

This paper cites The domain includes the following predicates and actions: Listing 1.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning The domain includes the following predicates and actions: Listing 1

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.248016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:03f2131a913ee106c7db194341ad0496f897d2c41fc7dfc919da3b6d8d813fcb

Observation e601167f-9180-461e-9eae-da5e61ec66ca · outbound

This paper cites This domain is used for both AI2THOR simulations and real-world experiments.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning This domain is used for both AI2THOR simulations and real-world experiments

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.470482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:5a78c9c4515f665096ab4941c61a08580750dbb8db8b29f51ee3ea169cc3cc03

Observation 30bea319-8154-4b4c-aceb-656f62fbbd16 · outbound

This paper cites Different buttons switch between operating modes, and numeric adjustments are mode-dependent.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Different buttons switch between operating modes, and numeric adjustments are mode-dependent

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:49.013138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:fe0cb31446807b48d2755c9e977325d4952b35f388a8b7a46f3abf06f94f7497

Observation a8dc663d-7ab9-4c23-a54c-df456e57b847 · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:55.966736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:bdf8459f9da96069bf1466e36210e66adc914ce106c3d45b7e3c8e0076bd0cea

Observation 53a90292-e781-4a64-8a57-d5250dd01b9a · outbound

This paper cites The hypothesis-related version incurs a higher cost, biasing the planner to operate on verified objects when possible while still allowing exploration of uncertain hypotheses.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning The hypothesis-related version incurs a higher cost, biasing the planner to operate on verified objects when possible while still allowing exploration of uncertain hypotheses

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.830626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:80aa0b9eb9b3ba7c7cf19b211265af673362f2eb06a01071cdf02934a3e9cb11

Observation 2f8f2de5-70f6-427a-b3d1-198959a4dc1a · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:55.869960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:0127af197f59bb310e4a8e3b3ea57d29761fb630b0ec6bbf6b7242bb550c194f

Observation 013475f5-b37b-4c6e-9479-c20c03cc21ca · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:55.937287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:ec2f09f980484d1098ffadb28c4cfaa8379da8ebf1faa4c0a91ea5afc381fca7

Observation 1ffadde4-e9d8-426c-9b83-71c5f57fd802 · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:47:49.078143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:c8ef507ed7465aa65374b03b0c4be1c604642bbb6a55f624bf52d0a3e240c6de

Observation 571d90dc-662d-4746-a47d-ce1706ddc682 · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:55.760753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:eaa38e5da2f97aec0b17e3e67f0058d990121ea26eb85ea79a2ff5af67a51955

Observation dcbfb0a6-423e-4377-afd9-bf7e111e34c8 · outbound

This paper cites Predicate Classification Prompt SYSTEM_PROMPT_FOR_CLASSIFICATION = ’’’ Classify the type of predicate into attribute predicates (fixed attribute of an object, e.g.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Predicate Classification Prompt SYSTEM_PROMPT_FOR_CLASSIFICATION = ’’’ Classify the type of predicate into attribute predicates (fixed attribute of an object, e.g

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.087133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:62dad59a399b32e97fa80cb9c6bd327d74e522e72a93faf52aa86353d328a83f

Observation 1eeedc34-7231-4e03-b038-885c416b517d · outbound

This paper cites id": "h1.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning id": "h1

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.965028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:015c8b076d0ccda138172b24f131f4f61274aff8fdd77ae677b0023fef4d510c

Observation 9a3ea263-24ab-42c1-878c-172de1a672e7 · outbound

This paper cites We provide a simple example prompt for the mobile manipulation setting.: Listing 10.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning We provide a simple example prompt for the mobile manipulation setting.: Listing 10

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:47:48.679359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:27fe3109bbdad18246644b63adb8c65057f3d10be6ab2b9f55a8417aa6036c7c

Observation c65844a8-96c8-4f6d-930f-83c71f0b934b · outbound

This paper cites The prompts for the block world follow a similar structure but contain reduced content.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning The prompts for the block world follow a similar structure but contain reduced content

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.087266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:92e11b2f8cf4668b5bd7a7cf74eba3c2bf888e12b2c8457fe9b85ea6d59032a6

Observation 9d786c3b-9461-4024-827b-9e9c6179846d · outbound

This paper cites Appliance Hypothesis Generation SYSTEM_PROMPT_FOR_APPLIANCE_HYPOTHESIS = ’’’ You are given a planning problem for controlling an appliance and need to extend button press effects.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Appliance Hypothesis Generation SYSTEM_PROMPT_FOR_APPLIANCE_HYPOTHESIS = ’’’ You are given a planning problem for controlling an appliance and need to extend button press effects

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:37:55.675743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:52a7963f03bcce959472252f572ac6f24e89ca25c4b89f7b3a457c9217356fb2

Observation f33908fe-4776-44a2-a420-c24e852ca964 · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:54.989352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b957e26441345e9c211145320a999690d7cab0843b7ffb75fd3cdc746d5501d7

Observation 0b4d0c82-c023-481b-8e0b-0540403bc40d · outbound

This paper cites an unresolved cited work.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:37:55.019852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:5c67fcf52782febb4408bfde66a824432da2ee83b097263ca2d24c395d9c8b9a

Pith citing papers

No inbound Pith citation observations are available.