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Paper Citation Record · LEDGER

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation

As of 18 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.

source=pdf_text observed=2026-08-16T01:04:38.582063Z digest=sha256:20f5f543bf0007884d5059d41b506ecd80a4f49151de32e687abcc0dc817fb91

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=sha256:2ac8bfeb98df02e86153e5544bfcc4d0f2dca69ee20056757eb9e41d5332e281

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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source=pdf_text observed=2026-08-16T01:04:38.600127Z digest=sha256:732c9b6713e0e87ff21caa12f5191aff98d07425cb822c1f810d11b3d4c492dd

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

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source=pdf_text observed=2026-08-16T01:04:38.609510Z digest=sha256:66cbc75431e923adfb8489b32caf39060259e4b2f7e74e17ea2343e7fbbe23c9

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=sha256:20b7353a291e84a504c0851af379b82604bf9cdc3cf01aade5a8310949fabaa2

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=sha256:631bd7991be0ddff03d57c0908a9509abe169e04314d54e5600376b9dc46d6e3

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=sha256:730bf5d2c6e12ee054250a436a50351dd6e359118000d43b37954e86aa9dbb3c

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:b1651720681b95d8800e38e9010f46fa89e63cd052c87a35da65f59d129aac91

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=sha256:949b5546c6fc9230c87c6e1e25d6474452bbb0fa138996a6c9655dc6f79611c6

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=sha256:717c587ae761655d58d106b0276577cb535103bd3e6424cf6da885977ba07108

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.689224Z digest=sha256:c59d21aa68b2a16fc7b72f7d582d4c196ff616b89b7e83f184af2a779d50dc78

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=sha256:962b6aeaf3fce2e73a2c7220faf1abbbe7edb273d6b209d58f690fb8415cbb49

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:b2d13fb307bf02dddb77a9f72320eb252a5e89becf221cae8b98636bd9f52238

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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no resolver link, observed 2026-08-16T01:04:38.718761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.718761Z digest=sha256:678aeb14a2cf0222886f9ec5fd1ebfb1f27429d0a255cb57a052c47102b31734

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.725929Z digest=sha256:66426eac6db187965d96617a81d652c22fb94e27b8fa667b45fa1b73aab02cb3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.731819Z digest=sha256:a9d40bce00b518874d1414129c7aabb5e158f5c25b5915d45531cb67c921e0ad

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.739849Z digest=sha256:007ad331838ca85418be6395898c2db8297efb4595561eda68a402350ed37dca

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=sha256:27a5949a93bc559d6d298c310d32bf22d4d2625c3ca09b34508314fddad630ab

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=sha256:73fb382e44615f8c5aaff9878e6f2bc604dc342835578f986e764dc546f1aeb4

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

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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=sha256:9fbe8ceb464e2470826d6bd73ff123c697d72fd5c725e1351dd2b663c484cc3c

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.

source=pdf_text observed=2026-08-16T01:04:38.779614Z digest=sha256:58e7e3cd999080ae81a1116b27ba6216c19c1fd5211c67bf4318ea54e04d56d9

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=sha256:3e6511752415461a806549473be9ebd5d1ac9bb6c48e58a5f32b7156382315ce

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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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:f6aa70308e5b285d783fd76206c0e18edbd285e6f0bbcce07b9d4db89254a66c

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.838762Z digest=sha256:6e3f472dfa49b05cc139d51f5ac9177b53f9fecd96c8b533aafd3c2ac4747add

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:ee14f0a18c87077a82005efe4867ab8f1613776814fab33a7ec15e83e6011a62

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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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=sha256:0675dc51fd49f806c19dbcaf0bb8268068912d6c78b9c21b2963899840958570

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.879120Z digest=sha256:447e00f085a577024688a7e6c34ea3315fb1dbf7d9ad979ee49e73ca628b9bc0

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=sha256:3d4cc0c23dbe0dc40dcf98ea6c94d8a0a2c23a5a5e903f2eb55a11633fface76

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=sha256:600b4f9a31cd1fd4f2c7734e416b7d28c5bab816462ed8219c002a89b0746b2b

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:e84b95b4d5e24c166e3431f304490c1575c9cdf132df2bfbb486adf20986310a

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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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=sha256:2e9dedbf7827db6c8c02d555c34d46968e9508a89e6bfbb79c530c1f09d725f1

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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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=sha256:1af3e13d50529a887b0301a4a2825ecf3bb3eb9afe4f146d77a99d9406c8327d

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=sha256:7cd99b8c6d4a29830f41fbd44d8bf5a63a04e5b35521b1a0b47c34207bdbfb4f

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=sha256:065a09995244872f30ce56907117a711eb28fdfb69633327b0471c07f6a720e8

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:b5c589c1d4f8eeea47f8c90d498bc6ef9dbf4f2973e227fdee2964183579d0e8

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=sha256:5daf109bc90e518f666c32b316aa382b4b2486482b9588d46b0dab9e2516a6c4

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=sha256:98b069f2fc77a952f58524c703ad8d0bc1fd7751413a9cfd12018b58d52809db

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:a9e1dc55803ec7b983f1f238fd72dc1ee7d6fd6d993fe6bd8b5504384fc3748a

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=sha256:466f22bf0394d104788fd7f8f379218d53b6e2484c1618600dea5e32ba16c531

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=sha256:74eb2267117de9477e4838271c51fa0bb74301fcb75a47aaa155ef357aea83e2

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:bbfdbe1e4bdaa54cc1934d86fd2b2b2244d18ce610298537b2cbb621c9e749ae

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:debf79c58f1b31dbacb537dd86c4d2526fd1fa7c7243369781178d6ed342bc49