Pith. sign in

Paper Citation Record · LEDGER

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2507.10284.

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

pith.paper-citation-record.v1
2507.10284 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:39:45.188811Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:48:08.135538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:10:29.658672Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78dc2b2f-82f8-4bc9-a140-a4b44429debb · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Tabnet: Attentive interpretable tabular learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.773242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.019222Z digest=sha256:3f2be042e5a4d2cf2ce11eff2cbff13c1be78231d7a774a1b3d899e7873bf146

Observation bdf9d285-6ba9-4354-8379-11f6658c3ad2 · outbound

This paper cites Uav-based delivery systems: A systematic review, current trends, and research challenges.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Uav-based delivery systems: A systematic review, current trends, and research challenges

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.755714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.026233Z digest=sha256:e31b73eeb0d1e934cf71f79f66b2fb61646beb1a3a7c47f5d208363e29b0e510

Observation cdfc8ab7-bcea-4fce-a866-d20bcea555a5 · outbound

This paper cites OpenAI Gym.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning OpenAI Gym

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.031769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.031769Z digest=sha256:4c60b2aae11e04e663990dae6dd4c37c07c6924951c9dcfbe4059134cbd141c1

Observation 791a8dd6-7442-416e-b54b-f1026c10bb45 · outbound

This paper cites Hierarchical model-based imitation learning for planning in autonomous driving.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Hierarchical model-based imitation learning for planning in autonomous driving

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.740618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.037990Z digest=sha256:a1e48ef8f885041228c58a65b47caca0b69707621112a22ae850f0d65259a01f

Observation 2c2a7607-5800-4f00-a38a-761c83f7623b · outbound

This paper cites Deep reinforcement learning for zero-shot coverage path planning with mobile robots.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Deep reinforcement learning for zero-shot coverage path planning with mobile robots

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.724384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.043565Z digest=sha256:d204d832c1876f97cc4f2b989dd93d4940934333f52ecbc6a2c2206f52d44713

Observation 013fd93a-a7c2-499a-a633-0bdcea390549 · outbound

This paper cites Transformer-based imitative reinforcement learning for multirobot path planning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Transformer-based imitative reinforcement learning for multirobot path planning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.707311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.048865Z digest=sha256:0f6f55cea0d5e502c30e48c68dc0d1739ff017464695a316f66a1c6fcd011c35

Observation 7d30129e-12d2-4e5c-a8f8-cc630efd44a4 · outbound

This paper cites A proximal policy optimization with curiosity algorithm for virtual drone navigation.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning A proximal policy optimization with curiosity algorithm for virtual drone navigation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.690548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.055467Z digest=sha256:2ceac5d45656b8057132012e35ae0502d60ee9dbe31f2932e0c853692c211777

Observation 565307dc-97fb-412f-ba3b-3a6eb28b0f6b · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning BERT: Pre- training of deep bidirectional transformers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.673300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.060624Z digest=sha256:5042c6203af58f990eb97c022f8fb920fff00e8ace4a264cc81b3810342c6681

Observation 9ecbbe25-9716-4602-a95a-dbfc44231c19 · outbound

This paper cites A Survey on In-context Learning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning A Survey on In-context Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.065690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.065690Z digest=sha256:a18d534babffd997be4906d4fba42da2b4c462ff63360954fab96c6b019d6bef

Observation ea19362d-14cc-430b-947b-bb065b97201b · outbound

This paper cites The role of unmanned aerial vehicles in military communications: application scenarios, current trends, and beyond.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning The role of unmanned aerial vehicles in military communications: application scenarios, current trends, and beyond

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.656556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.070964Z digest=sha256:2e385ae539da9e3952320c8978f64ce2589c8f2bec88343dd6a5b737d350e2db

Observation fca1b59b-3571-4640-8c77-71557821fe5a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.076100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.076100Z digest=sha256:9836eca5cbc97baa9a72b5309b4dd2658a5db8c5b9dacd031d983284b44fc0a4

Observation 42d28547-bc50-49de-a449-9cbd3831e886 · outbound

This paper cites Language instructed reinforcement learning for human-ai coordination.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Language instructed reinforcement learning for human-ai coordination

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.637996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.081230Z digest=sha256:2a1279d9e63a1a286443a789df0b3960c5faf4f4f8d28aea8bb219c997d89ce2

Observation 0193c0c8-b675-4f7f-8549-070949b996bc · outbound

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

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Language mod- els as zero-shot planners: Extracting actionable knowledge for embodied agents

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.620134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.087800Z digest=sha256:119c5c82f2022bde3892764302ef1c676de330414de71aa1cf0570f0bbd3c3ce

Observation 9e1ff532-0e1c-4910-87b6-d7b9124a70b2 · outbound

This paper cites General-Purpose In-Context Learning by Meta-Learning Transformers.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.093231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.093231Z digest=sha256:908d96c7efdccb2f167ef982a14ea16f147b98bf746f31917f2dca12a74c201d

Observation d7fe0c34-0394-4311-8ba5-2bed269c6625 · outbound

This paper cites Large language models are zero-shot reasoners.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Large language models are zero-shot reasoners

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.603373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.098992Z digest=sha256:f4d42b1226763f936ba6dce5be3cd7a46286d827dbc490bfe5e375879fa2b471

Observation add81e89-0e28-4c1e-b6a8-8551fdc962c9 · outbound

This paper cites Reward Design with Language Models.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Reward Design with Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.103900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.103900Z digest=sha256:9414eee4808fa4aaff0588865ef90009afc621b36220cac5b1a6472ae2ce510e

Observation 2d4edafb-22a8-4aa2-8309-8aca91dbded1 · outbound

This paper cites Self-imitation learning by plan- ning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Self-imitation learning by plan- ning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.586968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.110077Z digest=sha256:39493d6acc442904d3c332b17604f65d8344826a589b4e2a45a2dcf611001941

Observation e89b62f9-839b-4c75-8828-909d8b9a89bd · outbound

This paper cites Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Inform: Mitigating reward hacking in rlhf via information-theoretic reward modeling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.570084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.116822Z digest=sha256:fa1f6e03381698fcc39912f641aa6d94d2bde3f8264cae20da3ac177331ffa8b

Observation 79747db4-6ef6-4d1a-82bc-c9cec252b20f · outbound

This paper cites an unresolved cited work.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.121744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.121744Z digest=sha256:bbad181dbb378f9fe4b32495ed7ec0bea083fec4ea2528c5d50641c0853f681f

Observation c2f7156e-26eb-4fb4-92da-1cad11314c4c · outbound

This paper cites A vision based deep reinforcement learning algorithm for uav obstacle avoidance.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning A vision based deep reinforcement learning algorithm for uav obstacle avoidance

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.540428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.127252Z digest=sha256:1f51b5049f64ea008f0b15de3b7ada2b33a0159ecfdb51168399d3b4208239d5

Observation ea8855ac-5d6b-4bc6-8a23-5fa247ce93fa · outbound

This paper cites Vpp: visibility-based path planning heuristic for monitoring large regions of complex terrain using a uav onboard camera.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Vpp: visibility-based path planning heuristic for monitoring large regions of complex terrain using a uav onboard camera

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.522329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.132293Z digest=sha256:633eb29022da8694ebe46d796ce01cc59895953e95a80e619c6e84c9c0948f82

Observation 1917188e-0853-43e6-a06c-46010c0e23a9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Proximal Policy Optimization Algorithms

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.137253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.137253Z digest=sha256:70dfc289f6d11eb05d1866d0279fa798e4804e90c5acf80308c4a1dc96cad12a

Observation 1aac886e-69e3-4a99-afb0-f43765b500ca · outbound

This paper cites Enhancing conversational ai with llms for customer support automa- tion.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Enhancing conversational ai with llms for customer support automa- tion

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.502159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.142144Z digest=sha256:79bfa57d5e2a37e7532a2b1bf4d006ed4b48bab250f84a2d520e2d81dbb246a3

Observation eb3e8572-f35b-4534-966d-461c350fca67 · outbound

This paper cites Correcting Robot Plans with Natural Language Feedback.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Correcting Robot Plans with Natural Language Feedback

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.146879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.146879Z digest=sha256:d6c2e8320752089cf148c0f827ed109c5ae5f05a73e8069289e90b0667b34853

Observation 61e5556a-35ef-4651-bcca-c4c35d941274 · outbound

This paper cites Hierarchical interpretable imitation learning for end-to-end autonomous driving.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Hierarchical interpretable imitation learning for end-to-end autonomous driving

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.483710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.151869Z digest=sha256:49864b678a1bdc4855105b03ec4cea8903ea8a3d4a77db881bbddc09bf672249

Observation 4c104171-242d-40a8-a505-a3d27ebf2557 · outbound

This paper cites Unmanned aerial vehicle for precision agriculture: A review.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Unmanned aerial vehicle for precision agriculture: A review

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.465249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.157597Z digest=sha256:2db1a6e68629d52afe69bb84d13b32fe358b7a85a4786487c8efa959bfca3895

Observation fb593fa5-730b-4bef-a7b8-284b247d3845 · outbound

This paper cites A review on code generation with llms: Application and evaluation.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning A review on code generation with llms: Application and evaluation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.446605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.162846Z digest=sha256:329b1a6610b94a9156bc0ba7ebf0ca200966b0897558851b5c7f74a052c2e38b

Observation 8454d102-a1f9-4778-ac7f-ca29f592db15 · outbound

This paper cites Reinforcement Learning Enhanced LLMs: A Survey.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Reinforcement Learning Enhanced LLMs: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.167344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.167344Z digest=sha256:f645398734330fc0e0ad07ba4ae138a8879042ee6e92c089dff081d5b91b5c10

Observation aa9ca411-ff20-4c18-9488-ada8aed61826 · outbound

This paper cites Coverage path planning for kiwifruit picking robots based on deep reinforcement learn- ing.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Coverage path planning for kiwifruit picking robots based on deep reinforcement learn- ing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.420459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.172456Z digest=sha256:da2dd36f65df646c3e6ba8fd15ef7780d61a181d4d5cdace99637f09c822f2b4

Observation 5cbad550-3f8d-4571-b9c1-cb9b0d28ffe0 · outbound

This paper cites Agv path planning using curiosity-driven deep reinforcement learning.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Agv path planning using curiosity-driven deep reinforcement learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.400760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.177745Z digest=sha256:da5ad4823fe9afd6219e700c1a4332943a1223f400d1fb18a2c8f5416e8930d7

Observation f5278c0b-30a0-4f7e-a5ad-23a2f833e66a · outbound

This paper cites Language to Rewards for Robotic Skill Synthesis.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Language to Rewards for Robotic Skill Synthesis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.182765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.182765Z digest=sha256:ca331487a77da81f9139760ab78f32843617abca4db271d65d4c9ce43897868f

Observation 58d4386d-e60a-404f-9d96-755a7fdbf76d · outbound

This paper cites Deep reinforcement learning for next-best-view planning in agricultural applications.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning Deep reinforcement learning for next-best-view planning in agricultural applications

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:39:45.382844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:39:45.188811Z digest=sha256:b37dc221494cda7295e51442b0eada6830e186a682e9a1452a714876da3c95b9

Pith citing papers

Observation ac4f6c0e-02ba-45df-a33b-74378ec6a183 · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap Prompt Informed Reinforcement Learning for Visual Coverage Path Planning

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:10:29.660301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:48:08.135538Z digest=sha256:0aa09f1f14e19c53f414cb47ed633353b62e1eed8f01725d34f3c686f7f88c78