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Paper Citation Record · LEDGER

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.02216.

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

pith.paper-citation-record.v1
2505.02216 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:39.047624Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:20:36.274933Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact7
  • verified fuzzy5
  • unresolved27
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a0dc9aae-df76-4a27-87a1-216a13a89b4a · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 1

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verified exact
doi, observed 2026-08-16T01:04:39.254937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ec256241-b127-4b55-84ce-3bf91cbe0803 · outbound

This paper cites Ghorbel, J.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Ghorbel, J

Reference 2

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verified exact
doi, observed 2026-08-16T01:04:39.194585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 955a35e7-644e-4c6c-856b-124c0f5fcd24 · outbound

This paper cites Pajarinen and V.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Pajarinen and V

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.591573Z digest=sha256:bc9368d3702638bee8325b1a507aac2c2fc54a6dcda0b4a9d445cbe4df5ab8c3

Observation f51cf306-c159-43ce-929a-90045bfdf98a · outbound

This paper cites Zheng, A.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Zheng, A

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.600127Z digest=sha256:2aa9df75ab3126427edc94628c79d7b50f164ba00b892d7bbcecd80526b30e01

Observation ef2b4856-8ffe-4771-98b3-c7a4418d7204 · outbound

This paper cites Model-based Reinforcement Learning: A Survey.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Model-based Reinforcement Learning: A Survey

Reference 5

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no resolver link, observed 2026-08-16T01:04:38.609510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.609510Z digest=sha256:f5699384076195b70af165ad681a792daa5662ea3983c293dd72766410050583

Observation 6b985e93-66e5-4f17-89c3-120aa6e894ed · outbound

This paper cites Learning nonsingular phylogenies and hidden Markov models.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Learning nonsingular phylogenies and hidden Markov models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-16T01:04:40.495098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.617161Z digest=sha256:862923bef9b7d5b1a343a5625e1ea3a6453c27c1c8c8ffaf398def8be2b1afb4

Observation 37dbc534-5e8f-477f-9ea0-2b71511264c6 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:04:41.063818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.625352Z digest=sha256:b8c7341bf9ffa35cfd92c648c39c4f6838fb1ab91d46c4396ceabbab431b9ead

Observation 96236996-f6fa-4196-8389-1e5321ecd0d3 · outbound

This paper cites Closing the Learning-Planning Loop with Predictive State Representations.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Closing the Learning-Planning Loop with Predictive State Representations

Reference 8

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verified exact
local_arxiv, observed 2026-08-16T01:04:40.454715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.633658Z digest=sha256:e598669ecf389b7fe0cdc22c6365b5cfeb32ff2a7d93ac7ce2d1f74fb382081f

Observation 06f988f6-2c20-4399-b431-29952f66eff1 · outbound

This paper cites Sample-Efficient Reinforcement Learning of Undercomplete POMDPs.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Sample-Efficient Reinforcement Learning of Undercomplete POMDPs

Reference 9

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verified exact
local_arxiv, observed 2026-08-16T01:04:40.426696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.644183Z digest=sha256:aa4e887bd0cfb0b5d6bd1e22d4e6c97ecd9088203772f4b41a9720aa4eef989a

Observation 7a74a6f7-1cd1-419b-bf3b-7ab56b5522eb · outbound

This paper cites Apprenticeship Learning for Model Parameters of Partially Observable Environments.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Apprenticeship Learning for Model Parameters of Partially Observable Environments

Reference 10

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no resolver link, observed 2026-08-16T01:04:38.655557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.655557Z digest=sha256:fe501b47683c46600975b70b1ce143d5a6d68a8ec3538988b2d4d9da6d092935

Observation 06b815df-4141-4ef2-b70d-69d1ca006ed0 · outbound

This paper cites Thomson, F.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Thomson, F

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6a23df2-79d0-41c2-93ce-43efb90e10d6 · outbound

This paper cites Pyro: Deep Universal Probabilistic Programming.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Pyro: Deep Universal Probabilistic Programming

Reference 12

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no resolver link, observed 2026-08-16T01:04:38.669623Z

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source=pdf_text observed=2026-08-16T01:04:38.669623Z digest=sha256:0aecf9da5ec565e1a6f71374de4680430fbe5f92ed500c0309dda9c02787bbe8

Observation 2abaf550-0852-49a8-aa87-80fd31276568 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.689224Z digest=sha256:29e6ce4b40b8835bdd649e18b22650d1467a6c615b6e6e4679d571d788d8583e

Observation e7dfb7d8-b771-4c9d-8873-e779e04673be · outbound

This paper cites Church: a language for generative models.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Church: a language for generative models

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.698276Z digest=sha256:6ba306deaebaee0d66f43305dff5658c645ab17918a46bfefd9b3c3630408983

Observation 37d43606-3661-4c18-8af6-6fec0933c60a · outbound

This paper cites DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Reference 15

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no resolver link, observed 2026-08-16T01:04:38.707218Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.707218Z digest=sha256:ba4a8ece4c52e41f300c8db18da9f8c80b7dc276a94838fe6920271adc4d6e06

Observation fe999d06-7ef3-4cee-9287-e4914128f387 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.718761Z digest=sha256:f3940d97ced4986274dc3922b9537bdc5833c5b00adbc6f28b281b977610e158

Observation d82fc899-8b0e-448b-bc4a-31c62f0fc64b · outbound

This paper cites Automated Statistical Model Discovery with Language Models.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Automated Statistical Model Discovery with Language Models

Reference 17

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no resolver link, observed 2026-08-16T01:04:38.725929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.725929Z digest=sha256:b06e499dc5b5a615ff934f132d5d5ba578e66330696af339c4a1fe3027682734

Observation 24b09734-d267-42b1-b220-a8ecc4080273 · outbound

This paper cites From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:38.731819Z

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source=pdf_text observed=2026-08-16T01:04:38.731819Z digest=sha256:6cc59ea54849bc15961ccad6785c8d3bbfa5db9f2da42e28f960e1e2a162f266

Observation 3b62b303-0a61-4c57-9e47-769557d15cc9 · outbound

This paper cites Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling

Reference 19

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no resolver link, observed 2026-08-16T01:04:38.739849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.739849Z digest=sha256:dc8a79468a964be7845fb47b2469a5c8ea4d6a8773b076970202088be1715d7e

Observation 3fbd1930-ed0a-4355-8eb7-fd9e7bbd2217 · outbound

This paper cites VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Reference 20

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no resolver link, observed 2026-08-16T01:04:38.746704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.746704Z digest=sha256:101c827c499017942abb85b1e0b8254ddd782376bacbeb247b9f125f9a52abc4

Observation b1b63153-0dfe-4cf8-988e-1d2fa13a401f · outbound

This paper cites WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

Reference 21

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no resolver link, observed 2026-08-16T01:04:38.759814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.759814Z digest=sha256:81f0e680fb703ce8c3eb2f8ba84b8a4de42e89ecfdb21d91eefa68e84b278958

Observation 61533ad4-31fd-45e3-868a-28cfd243f3e9 · outbound

This paper cites Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-16T01:04:39.707702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.770723Z digest=sha256:3f489c1718040c95d4066b33efb7ff8774dfca4980342c183e354d5e2e02bc18

Observation b7d83699-b339-4258-ac5a-d1489c6331a1 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-16T01:04:41.033100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2163b68d-f395-49a6-a39a-b33ca7e5d548 · outbound

This paper cites SatLM: Satisfiability-Aided Language Models Using Declarative Prompting.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation SatLM: Satisfiability-Aided Language Models Using Declarative Prompting

Reference 24

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source=pdf_text observed=2026-08-16T01:04:38.790847Z digest=sha256:3ee21d73d74d878f857fe32ef2669f3dd6f40b61fbb3531d7e67777cfd5e89ba

Observation 77f6e991-5442-4a09-82a6-e0ce21d26ae6 · outbound

This paper cites Thrun, W.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Thrun, W

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-16T01:04:40.987498Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.797775Z digest=sha256:8ec61631ba2eba4672cc95bd476f064a929650004193fd4742c92fb1f321eee1

Observation 19d6e38d-b764-4fa5-841f-fdd19f74d775 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-16T01:04:38.838762Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.838762Z digest=sha256:f776b70f430968e4fd3aa9ee00f5c821f13270ca0cc015d1660762758c26b85e

Observation 8536096d-492f-476e-ba41-e94b113ca003 · outbound

This paper cites Mundhenk, J.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Mundhenk, J

Reference 27

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raw_fallback, observed 2026-08-16T01:04:40.964225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.850255Z digest=sha256:7caa0c9a6eb2820f8e82f73b45357ff07f73834fddbfdd3edc6c71f9e90e6bb0

Observation 5d6cf36d-423b-4cae-a57c-06cc486a8e07 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-16T01:04:40.934315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.871239Z digest=sha256:48c9d9c463356a9d2804a63b6ec105bb9aff7c1204c9c24f0a0a2ae54eda8ec7

Observation 01447aca-4e65-4f6e-ad32-1ad5ab7a540f · outbound

This paper cites Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

Reference 29

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no resolver link, observed 2026-08-16T01:04:38.879120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.879120Z digest=sha256:f4f18f0d1cd998ee8081e583f3d55fb5591804a7941027119e5c7425aaad120f

Observation 3b07a176-a824-4b54-881f-3533896da8e7 · outbound

This paper cites Silver and J.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Silver and J

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-16T01:04:40.905733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.886738Z digest=sha256:870efc181fb71e8f9a7ec8a4b042b52be07faf978b7ebdba41d132809ee0e3f5

Observation b340a14f-d9a9-43b4-b794-8c33e82e9ab4 · outbound

This paper cites Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects

Reference 31

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unresolved
no resolver link, observed 2026-08-16T01:04:38.899492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.899492Z digest=sha256:a18339f8732f392040bab43658c2a00065f60687db102e65d430fbeb452347c5

Observation 9764e939-5c00-4ef8-a3be-f50714ff6b71 · outbound

This paper cites Online algorithms for POMDPs with continuous state, action, and observation spaces.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Online algorithms for POMDPs with continuous state, action, and observation spaces

Reference 32

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verified exact
local_arxiv, observed 2026-08-16T01:04:39.512265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.905720Z digest=sha256:98bc31ec7f961ff5d3e04fd6d319bc28f3c64faa06bc82b90bd44240ac38ab2a

Observation bb164db1-9d25-4c20-8633-a26db559adb1 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-16T01:04:40.856322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.913505Z digest=sha256:2aec268aa8e680d741c48216f21600f57bc1675b710b81b39783c98be140a47d

Observation 65b681e1-4180-4556-bfb1-2340900cadca · outbound

This paper cites Kaelbling and T.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Kaelbling and T

Reference 34

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malformed identifier
raw_fallback, observed 2026-08-16T01:04:40.827296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.922413Z digest=sha256:b26d8b9340260fdbae533579b80eb915092b2c1ea8e985c608ba890b9ab8dde8

Observation fbcbd6bf-3de4-4657-8dbf-2dfc00dce786 · outbound

This paper cites Curtis, G.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Curtis, G

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-16T01:04:40.799203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.935952Z digest=sha256:19f023e2ae6ddc0ed2104f6a3ee3ed69f0ca85e4b9902eaf1dc67828653b342d

Observation 8db95b10-78a5-40da-a86b-fb026bb56a84 · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Asymmetric Actor Critic for Image-Based Robot Learning

Reference 36

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no resolver link, observed 2026-08-16T01:04:38.961625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.961625Z digest=sha256:c261732a36c6cbc07bb8ae57d0b2c0213a25893ba4236b23f21bea9ac61f9361

Observation 76af68b4-86ef-4eed-95cb-1830bd86422e · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:04:40.758461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:38.971663Z digest=sha256:949dbcba13669b62344f517bc1da7ff36e835a57c4c8c73226eaddbf3ff2b1bd

Observation 1e7b9b97-d0b9-4440-9ba4-d021270e5e2e · outbound

This paper cites Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:39.007176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:39.007176Z digest=sha256:edc4c4b53a2bfe613b83cfb804888596f8115796e13186afca7e862b92ed5d6a

Observation d60a4050-22de-4cc5-8601-3b303c9d2775 · outbound

This paper cites Polycam – capture and share 3d models, 2025.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Polycam – capture and share 3d models, 2025

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:04:40.739606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T01:04:39.012981Z digest=sha256:5a06e6f2a567b82dd7beffd2d0320ebddfe45d6d01c3fce798950984287ffc89

Observation 640c4f8f-d857-472e-827c-89bc55c9d635 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:39.018905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:39.018905Z digest=sha256:33adcc82af449454621ba9fadaad6d3653139575b2960b63b15e8a9f51ae4380

Observation 81134f13-f386-45cd-bfc5-2b9a06f26ed7 · outbound

This paper cites an unresolved cited work.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:39.027344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:39.027344Z digest=sha256:7647ae1ca6f7013f61d5108fb42ce87aaf9f434faeecca9dd077429d24343ecf

Observation 3e9d8094-3f1f-4a1c-b878-4908f759255e · outbound

This paper cites Heuristic Search Value Iteration for POMDPs.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Heuristic Search Value Iteration for POMDPs

Reference 46

Resolution
malformed identifier
no resolver link, observed 2026-08-16T01:04:39.047624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:39.047624Z digest=sha256:fc73e37528369dafe6873e074b8a9041bfde09cba3d61c42475b29041cde33e2

Observation a2b74fac-78fa-4e4f-a34f-d6e3bcf10143 · outbound

This paper cites Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:38.943775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.943775Z digest=sha256:6449ace51521d769f13473f9a82dcfc6efd0eec30eb8e167965d952c7e878282

Pith citing papers

Observation dcfdfbba-f9ca-44d6-8e1c-2b6ecbfd7794 · inbound

Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions cites this paper.

Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions LLM-Guided Probabilistic Program Induction for POMDP Model Estimation

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-03T21:23:31.782298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-03T21:20:36.274933Z digest=sha256:5c2897b1eb0d0d3021e7d01cc09bb92bacd31819ad0580e3c2331ad79d06bee2