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Paper Citation Record · LEDGER

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

As of 6 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 4 inbound Pith citation observations for arXiv:2604.24661.

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

pith.paper-citation-record.v1
2604.24661 v3

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T00:48:43.992238Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:01:06.189476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T20:08:56.590301Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact24
  • verified fuzzy55
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecebc2e7-6674-4883-8fad-fc2c6a30ebe5 · outbound

This paper cites Look where you look! Saliency-guided q-networks for generalization in visual reinforcement learning.Advances in neural information processing systems, 35:30693–30706.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Look where you look! Saliency-guided q-networks for generalization in visual reinforcement learning.Advances in neural information processing systems, 35:30693–30706

Reference 1

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 0e698bf4-a869-4710-8167-df680fe3d895 · outbound

This paper cites Parameter-free online test-time adaptation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Parameter-free online test-time adaptation

Reference 2

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raw_fallback, observed 2026-05-16T01:17:04.238867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 92e84447-06d2-4cd4-b831-4b7cce3fb52e · outbound

This paper cites Simple baselines for image restoration.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Simple baselines for image restoration

Reference 3

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 10d1e2b1-0528-4550-832b-3c59d0c7399a · outbound

This paper cites InstructIR: High-quality image restoration following human instructions.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations InstructIR: High-quality image restoration following human instructions

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.202383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:1add2cfd78ca27585f1a34db7aac8ee759b04acefc379e09a9359e29b5bd6879

Observation 5bf49dc7-9ce0-4e08-9cc4-03dca570b9f2 · outbound

This paper cites RobustBench: a standardized adversarial robustness benchmark.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations RobustBench: a standardized adversarial robustness benchmark

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T00:50:49.859450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:c0ec100f09785f5ad82189e8bb276549cf3d9c4a2a55a662e189b66f83e4f705

Observation 3ee449fa-14f0-46b1-9632-6674096a4b75 · outbound

This paper cites Image denoising by sparse 3-D transform-domain collaborative filtering.IEEE Transactions on Image Processing, 16(8):2080–2095.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image denoising by sparse 3-D transform-domain collaborative filtering.IEEE Transactions on Image Processing, 16(8):2080–2095

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.285285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:b01e23dd1fcdb147cd81794d588905d557b725120ffe34b091751052175cf4b2

Observation e1dee9c7-3b67-43d0-8373-37a617be1d3e · outbound

This paper cites Sliding puzzles gym: A scalable benchmark for state representation in visual reinforcement learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Sliding puzzles gym: A scalable benchmark for state representation in visual reinforcement learning

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T00:50:49.864382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:88e48e2aefe8edd27ca3d757369f52a9268781982c2fce73a619dfff46ebb61f

Observation 44c0a977-f8c2-4f45-ae50-8bb200687718 · outbound

This paper cites MambaIR: A simple baseline for image restoration with state-space model.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations MambaIR: A simple baseline for image restoration with state-space model

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.126611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:01c4d4277d962adcbd1ae7a16d7797d91630b5d4ae5cd61a079d69100b21a03b

Observation a41b98c0-d931-476b-aee4-11f447f886e7 · outbound

This paper cites Onerestore: A universal restoration framework for composite degradation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Onerestore: A universal restoration framework for composite degradation

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.118537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:5e8728698b21a6197624a43f72849abce64e283ec4c9fce483aecf3d6b8247a6

Observation 8e82df5d-61f9-412b-afa6-84ddf1434e1f · outbound

This paper cites Neptune-x: Active x-to-maritime generation for universal maritime object detection.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Neptune-x: Active x-to-maritime generation for universal maritime object detection

Reference 10

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arxiv_id, observed 2026-05-11T00:50:49.869283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:dc4e7f6fa74f05bd56e1751e087f9f62c1412a6a9b1f067c7968e03f1a1d6fd4

Observation fdfe76ab-2a67-4626-ab20-2e847d28866b · outbound

This paper cites Learning latent dynamics for planning from pixels.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning latent dynamics for planning from pixels

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.185631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:265a97663ae0cb40e9b0a027407ea76cb779dcd260b732e086250de24b335534

Observation 4afed674-590c-4c4f-af90-f8b96462b3e3 · outbound

This paper cites Mastering Diverse Domains through World Models.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Mastering Diverse Domains through World Models

Reference 12

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verified exact
arxiv_id, observed 2026-05-11T09:08:22.800194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:4a36a95dfa33806766ace256e20d3a2b3a6e3dd1630a6d98ee89534803e97b36

Observation 11354b68-488b-47e5-bdf8-a60c5a7f4e66 · outbound

This paper cites Dsp-reg: Domain-sensitive parameter regularization for robust domain generalization.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Dsp-reg: Domain-sensitive parameter regularization for robust domain generalization

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.154229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:06505540d7f2e4ea2609c775e3071ffcde4527af435981551f8bb2e27b6dbabd

Observation 9eba0309-c9a7-4985-9dd5-46e96449c027 · outbound

This paper cites Generalizationinreinforcementlearningbysoftdataaugmentation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Generalizationinreinforcementlearningbysoftdataaugmentation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.113133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:f9e558fc7fdf6b0a24ab0b45ed80185f0492adc960ad496e444f6812fe3addf4

Observation c4f2244d-8275-4398-ae1a-1ea72f0ae9ef · outbound

This paper cites Self-supervised policy adaptation during deployment.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Self-supervised policy adaptation during deployment

Reference 15

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raw_fallback, observed 2026-05-16T01:17:04.210700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:f43b0e71bf63f248e1537fbc5d61fd68e7a1938943763d77784d8f68fd97fe73

Observation bec98630-2899-4275-a34e-85c2ff93815a · outbound

This paper cites Stabilizing deep q-learning with convnets and vision transformersunderdataaugmentation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Stabilizing deep q-learning with convnets and vision transformersunderdataaugmentation

Reference 16

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raw_fallback, observed 2026-05-16T01:17:04.263157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:f13e7c6f32a14d4a224a0c3b345644e0ef8cf160d8d636549b48dc39ca48bcbd

Observation c85532a0-dae9-44ea-908f-654792c066e3 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 17

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arxiv_id, observed 2026-05-14T17:27:36.461279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 53981485-eca5-4ad0-a0d1-7fc66002a9d3 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 18

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arxiv_id, observed 2026-05-13T05:02:19.069613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:92d357a2fd650eb502e758170e4e2e488c93878a48c0594945a23f9fc01e03ca

Observation ad3c6307-dcbc-414d-bf24-bd48226867a7 · outbound

This paper cites Agentscodriver: Large language model empowered collaborative driving with lifelong learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Agentscodriver: Large language model empowered collaborative driving with lifelong learning

Reference 19

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.072787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:8631926c6c5bfe133fb0c21ac0677a0a6e12ad515084acd4df20853f7eba19ac

Observation 9f5db8eb-bfa3-4b38-8bdd-f6a60029be66 · outbound

This paper cites an unresolved cited work.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:6ebc507d49df5d7b7bd8764c42a3815ba209e6c8d587be95bbfc12fbbfff8c0b

Observation 6a0db5fd-49da-4600-b90f-fa97d6234f73 · outbound

This paper cites Agentscomerge: Large language model empowered collaborative decision making for ramp merging.IEEE Transactions on Mobile Computing, 24(10):9791–9805.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Agentscomerge: Large language model empowered collaborative decision making for ramp merging.IEEE Transactions on Mobile Computing, 24(10):9791–9805

Reference 21

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raw_fallback, observed 2026-05-16T01:17:04.245476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 588f2f27-a26e-4113-bd28-2c793ba86081 · outbound

This paper cites Optimizing agentic reasoning with retrieval via synthetic semantic information gain reward.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Optimizing agentic reasoning with retrieval via synthetic semantic information gain reward

Reference 22

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verified exact
arxiv_id, observed 2026-05-11T00:50:49.814102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:b875d7748b89098f6a6ef0c499add071147b8741442bd4c4d2b9a195bab2fc0a

Observation cb3252ff-4dd3-4910-b4d3-52da31bcef4c · outbound

This paper cites Planning- oriented autonomous driving.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Planning- oriented autonomous driving

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.168952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:c3841b970d8e8f2a16f02d2344d8a765f0319d4578186548fe50e8b1d2a1f71d

Observation ab9ca0a6-7e33-490b-994f-22256fc0b3c3 · outbound

This paper cites Spectrum random masking for generalization in image-based reinforcement learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Spectrum random masking for generalization in image-based reinforcement learning

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.232126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:41dcc994f57f52595fcc67d3482f2276992625de52294fbaccb5703a07f2b557

Observation b1df7a0e-fb3e-4fd6-8c21-2242e86ca8d5 · outbound

This paper cites Adaptive mixtures of local experts.Neural Computation, 3(1):79–87.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Adaptive mixtures of local experts.Neural Computation, 3(1):79–87

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.080245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:86eb4703d2af6fa41fc038f4362ac99fdaf2df8ed1b857396adff6f598af6b47

Observation e5f61295-f119-479b-a4a5-682d7bb79b19 · outbound

This paper cites Mixtral of Experts.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Mixtral of Experts

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:50:49.811444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:04e4e3a4d0c5c561980b72986340a7b3a5c076cf81309b7ba7f96b22586257c6

Observation 9e071edf-101b-44b1-ad73-4035a8e7826c · outbound

This paper cites Hierarchical mixtures of experts and the EM algorithm.Neural Computation, 6(2):181–214.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Hierarchical mixtures of experts and the EM algorithm.Neural Computation, 6(2):181–214

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.280858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:9e48adbc4aa4a32eb0f3cbcfab933795c8bb1642b24b37abf4f97c8c860cd8a0

Observation e8d19aec-6445-41fd-8ae0-ceb281f7cb80 · outbound

This paper cites 3D common corruptions and data augmentation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations 3D common corruptions and data augmentation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.140602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:d8dd0c4b4dfc6bb8364d1270acdcaa0fe3acc67d5cdb8cc42f04a081f5932846

Observation 9e00b4dc-db98-4baf-9b77-3162c5d548cf · outbound

This paper cites Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.822024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:b03c988065a12d24d9cd68bb99f0337d98a17608ae073da577aea6492a0ad16b

Observation 20e3d31d-9519-4465-99e0-61f169c56f3b · outbound

This paper cites Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.816695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:124d1a2ece8c566caca28ab214d3c700e686a8bc35c55973c0c201ead1e36295

Observation fdb8f1e8-c7e1-4aa1-9821-da8cce693f99 · outbound

This paper cites DeblurGAN: Blind motion deblurring using conditional adversarial networks.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DeblurGAN: Blind motion deblurring using conditional adversarial networks

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.160188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:4ae2f02f0c4843026e7ce3eab6720d6931dac8d95f62bfb43aadb7b5e716a64c

Observation 3eadffff-4ccb-4f3a-9be6-880358e98037 · outbound

This paper cites Reinforce- ment learning with augmented data.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Reinforce- ment learning with augmented data

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.194294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:3dd9bc358e5cc93682c7507e3734c0be7278bd27cb977efc75371c3ff80d4231

Observation 1814ca02-6d78-4c8c-a860-1dc77911d33f · outbound

This paper cites CURL: Contrastive unsupervised representations for reinforcement learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations CURL: Contrastive unsupervised representations for reinforcement learning

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.148463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:1618509484e760ad3b786300eff3d3886f2153f0946700779b0355fc43597ad3

Observation 03316d1c-6fc0-4711-9e1e-e0edb7c301f5 · outbound

This paper cites All-in-one image restoration for unknown corruption.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations All-in-one image restoration for unknown corruption

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.100276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:c4ae4f1e292d4e2da097079633cf4227e785e81bfa1d19b6233ebb81817f9424

Observation 701d5e17-7ffd-44a5-9181-064df0974f97 · outbound

This paper cites Instruct2see: Learningtoremoveanyobstructions across distributions.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Instruct2see: Learningtoremoveanyobstructions across distributions

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.250207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:d868c11ec1fdd563c84d35698c35f2671f615829edcced6d93ce95e5749dbfc7

Observation 21eb2423-f18e-4e0a-b46e-2c0180a8be96 · outbound

This paper cites Policy-independent behavioral metric-based representa- tion for deep reinforcement learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Policy-independent behavioral metric-based representa- tion for deep reinforcement learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.217838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:a1e82a4ef39e27f448a4859c1cf22c89bc07e714d7c18c5482f3f412fda37362

Observation 966ce11d-5719-4209-9dac-67694fef13ab · outbound

This paper cites MoE-LLaVA: Mixture of experts for large vision-language models.IEEE Transactions on Multimedia.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations MoE-LLaVA: Mixture of experts for large vision-language models.IEEE Transactions on Multimedia

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.087368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:4e7bfe74f1849086bf6be85cc77cf5ef0ad69e1528f0092a3e63e191cf32462f

Observation 6e1097f5-9ef8-48e2-9a0f-9c3c63a2f334 · outbound

This paper cites TTT++: When does self-supervised test-time training fail or thrive? InAdvances in Neural Information Processing Systems (NeurIPS), volume 34, pages 21808–21820.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations TTT++: When does self-supervised test-time training fail or thrive? InAdvances in Neural Information Processing Systems (NeurIPS), volume 34, pages 21808–21820

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.225083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:f383cec9bc34b5edcdfc36e210b556204f51a768bd16feb9a8a2ec2dd736d6e5

Observation 4195e165-a477-42dd-a514-ad172a6433a4 · outbound

This paper cites Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.276197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:fcb7c3dc998d19e659bddeb57ba0808a7bd1af5c74c6f7fdfe8704bd5c59a7c9

Observation b04c5e12-280f-4e81-8978-b5c05e03c7cf · outbound

This paper cites Transformers are Sample-Efficient World Models.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformers are Sample-Efficient World Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.829546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:ba40a6bdd650aeba187a4e8b2accb0f9df03abcb806c4c43c21332805c63c3eb

Observation bd4bd978-8836-4dff-9ff1-5b948341418c · outbound

This paper cites Human-level control through deep reinforcement learning.Nature, 518(7540):529–533.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Human-level control through deep reinforcement learning.Nature, 518(7540):529–533

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.267079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:2af56a71a8f8272b0d8f55118f2187e6895da77b9511d6f627f1ef37041a8931

Observation 707986f2-bb99-456f-9771-85806412c125 · outbound

This paper cites Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:50:49.832076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:af76b2c4d1c18b6662c72cf3491e449652e9b13eae9fce3776566e04d18e1745

Observation 60b5b844-78e4-4484-8961-69eea778f6c6 · outbound

This paper cites Dmc-vb: A benchmark for representation learning for control with visual distractors.Advances in Neural Information Processing Systems, 37:6574–6602.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Dmc-vb: A benchmark for representation learning for control with visual distractors.Advances in Neural Information Processing Systems, 37:6574–6602

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.258619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:fb49aabe8d87ec1951bf7ca171f48c67e3e0d2af7b45d0269331aee5f6f824aa

Observation e34e76ca-322e-453d-9d2e-5350d653c5c3 · outbound

This paper cites Model-based rein- forcement learning with isolated imaginations.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5):2788–2803.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Model-based rein- forcement learning with isolated imaginations.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5):2788–2803

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.271463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:5fca5455965c74fa163bd1856edaa7e26938aa271db7cbb393c820f9a4fdd0ed

Observation 4577c2da-b8fb-4999-809b-b1b8bd1b62f7 · outbound

This paper cites PromptIR: Prompting for all-in-one blind image restoration.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations PromptIR: Prompting for all-in-one blind image restoration

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.093011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:14f466af47ac002173b441db4d5a824b4dc23e500c114945c9acfa41a44e9c74

Observation b9bc0e76-6ccb-4ee0-b25f-d30dad3295d0 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations From Sparse to Soft Mixtures of Experts

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.837183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:c52292eb3bb6a1b1cf02621fba0e002f29617da5d0966624d55d52844b04054d

Observation fbcd5f85-19e1-4fb1-8366-2d096f6405bf · outbound

This paper cites THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.834661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:87b1e58b8c5a66ddb65785d3d4584da2d2a2a1a4cedcaecc8980d8366e2aba41

Observation f944368a-7b90-48de-9160-dfd336fc0650 · outbound

This paper cites MoE-DiffIR: Task-customized diffusion priors for universal compressed image restoration.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations MoE-DiffIR: Task-customized diffusion priors for universal compressed image restoration

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.177894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:3aaba1eca547b42b6b1d58eee49f1e2e93c67f85f9e0acd0f90809561b7d0882

Observation e14ba872-07a0-4cd6-8843-c6fd299a4246 · outbound

This paper cites Scaling vision with sparse mixture of experts.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Scaling vision with sparse mixture of experts

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.041858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:198a5db86ac00ef0a299fc6eb815dc77590e7a6677c606655b359d2425133613

Observation 8d0968d7-4181-4ab4-818e-6482f0d2219a · outbound

This paper cites Transformer-based World Models Are Happy With 100k Interactions.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Transformer-based World Models Are Happy With 100k Interactions

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.866789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:607c2a88ac14915ca1aafff7d3f6fa7f03558888e8407d7934aa420fa96fdebb

Observation 99480702-f663-47a1-b763-abd256506ce8 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations U-Net: Convolutional networks for biomedical image segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.047403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:46b36473ec4e59f71256e06b9b41bc45086e811af6768c6c0e55a1320df2b185

Observation c17e8eee-1739-4df7-9b19-ffdc7341779b · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Outrageously large neural networks: The sparsely-gated mixture-of-experts layer

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.998735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:55d61880c17fbe7b30871f6b93d8c80dffaa5015e6b90599e7c43d1f2049dacc

Observation 2b30b1a2-ec91-4e48-b39a-aebcc74e2caf · outbound

This paper cites DriveX: Omni scene modeling for learning generalizable world knowledge in autonomous driving.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DriveX: Omni scene modeling for learning generalizable world knowledge in autonomous driving

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.004910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:3f69b2706330044ef71cc9d232840590b2452b685a489c4a74a9e73923832906

Observation 3594b574-0ccc-4fd0-ad81-a515dd7998b5 · outbound

This paper cites A simple framework for generalization in visual RL under dynamic scene perturbations.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations A simple framework for generalization in visual RL under dynamic scene perturbations

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.933523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:52aa65a800c88a752e33817056b6560bbdde8feec6e8b996c15c260237b7dd19

Observation 812b0d40-8f73-419a-8b48-16694bf1976f · outbound

This paper cites The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.847065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:cdbfce5378931989ae93fde73a9b9f13787deaac4a2417c18c87c74a02d82411

Observation 26411a1f-80c4-4ddf-b11c-7dc6c85b94e3 · outbound

This paper cites Learning Latent Dynamic Robust Representations for World Models.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning Latent Dynamic Robust Representations for World Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.871710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:bd391640ba64cae1532cda0bad005bbc1ef10905de9da780680747a24bf8d62d

Observation 7a569f5c-4fd3-4191-85f0-5bea4c39fa74 · outbound

This paper cites Proagentbench: Evaluating llm agents for proactive assistance with real-world data.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Proagentbench: Evaluating llm agents for proactive assistance with real-world data

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.854513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:042660a44330a95296e8a51323508950c21b88b7931a5040a851b7c72d1a8ce1

Observation 9f50ade1-6702-4695-8ced-623df608ca23 · outbound

This paper cites DeepMind Control Suite.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DeepMind Control Suite

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:44:14.794093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:1c1f4b0777b036ebf0246f177416d6fba5d36eecd743f606b2378ffa4034247d

Observation 8ae1fe59-7420-4a4c-9f15-705e86a30457 · outbound

This paper cites Focus-Then-Reuse: Fast adaptation in visual perturbation environments.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Focus-Then-Reuse: Fast adaptation in visual perturbation environments

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.941345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:61d7c16d5f55df3c854131d01a4378042fda3c73302a2969e270ed102201517b

Observation 401f7ed3-bc6b-4fe3-a367-2f3fdac2b9d0 · outbound

This paper cites GridFormer: Residual dense transformer with grid structure for image restoration in adverse weather conditions.International journal of computer vision, 132(10):4541–4563.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations GridFormer: Residual dense transformer with grid structure for image restoration in adverse weather conditions.International journal of computer vision, 132(10):4541–4563

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.992541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:547a50747a20c8d9793c1c302d4e71b8d45bd54888982d4dbefb651125ad6ecf

Observation c9c883d2-da64-460a-af30-3ec9e10f4053 · outbound

This paper cites DriveDreamer: Towards real-world-driven world models for autonomous driving.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DriveDreamer: Towards real-world-driven world models for autonomous driving

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.010849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:920bf05eaf7eed01ecead7d9222bda4437bf99ca2f7d6bee3bccb3142932d085

Observation e9293812-fa2f-4029-b0cf-6a7886a952df · outbound

This paper cites Generalizable Visual Reinforcement Learning with Segment Anything Model.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Generalizable Visual Reinforcement Learning with Segment Anything Model

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.849509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:ecf9114166ae9956cb723724015103d08740c548a77485b4c6fba464a100996e

Observation a0448c6a-0583-4c84-96cd-a411ba0d6fbe · outbound

This paper cites DiffIR: Efficient diffusion model for image restoration.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DiffIR: Efficient diffusion model for image restoration

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.066172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:edfd8fbf964644a2c75f529a75c93ddab269ec831685dc4b3c2694652bc3d9db

Observation a16077da-159b-4f58-abce-6bfb3eb7e752 · outbound

This paper cites Image de-raining transformer.IEEE transactions on pattern analysis and machine intelligence, 45(11):12978–12995.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image de-raining transformer.IEEE transactions on pattern analysis and machine intelligence, 45(11):12978–12995

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.946760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:4cc120128da07987bdfdbf7cee0e5e5e2e69a0828a50357b13af545270fb7112

Observation f6fc8ad4-a7f3-4c12-bc63-ee0b631429fb · outbound

This paper cites DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:50:49.824477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:1c79522fd8dd9494014f733b6fdf0f82a86dc856e603aa028377cc94c64783d1

Observation 3eb70ba7-d5e0-4e47-a1bb-76578f8ece4f · outbound

This paper cites Learning Interactive Real-World Simulators.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning Interactive Real-World Simulators

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:15:18.951679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:00909ec90338aa31a1ff4eed58a8d07723f43bff08f33b29da59a4f24101b80a

Observation 72f3cd49-cf92-4d66-8876-a92ffa4a7854 · outbound

This paper cites Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:50:49.842269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:03a6b5a2ea044b9b2fab626028166c4e19214fa7c6c94ac06d321151c4e66540

Observation ba8fda6c-403f-4503-af0f-fafcac45d4ec · outbound

This paper cites The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-08T02:03:55.088792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:ca664809442437fc38de84409664a1cd5c278a999228ac363853bebd443d4123

Observation 1f9c2d3f-dc26-4f91-848b-9d448321e715 · outbound

This paper cites Pre- trained image encoder for generalizable visual reinforcement learning.Advances in Neural Information Processing Systems, 35:13022–13037.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Pre- trained image encoder for generalizable visual reinforcement learning.Advances in Neural Information Processing Systems, 35:13022–13037

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.982071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:ee38d9a3db47230c190626af0d2b7bb500946476a99ae6048c6ddeb7d3615cbd

Observation f4373cdf-e957-462b-83a6-a69e68f38c48 · outbound

This paper cites Rl-vigen: Areinforcement learning benchmark for visual generalization.Advances in Neural Information Processing Systems, 36: 6720–6747.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Rl-vigen: Areinforcement learning benchmark for visual generalization.Advances in Neural Information Processing Systems, 36: 6720–6747

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.059801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:20182080c63eb6b96cb4923a8b7a40b392b92dee594166164a7b743965abcf02

Observation 1bba4166-1749-4fa6-82f5-d1c0a2297c8d · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Restormer: Efficient transformer for high-resolution image restoration

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.053421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:2b04c307a3541aed0cf634ba93b571674beb383e583ff610809386c290fe6c27

Observation 41153a18-fd0e-4a4b-ba55-b66a049159ee · outbound

This paper cites Learning invariant representations for reinforcement learning without reconstruction.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning invariant representations for reinforcement learning without reconstruction

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.976695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:80b2a3550f3f0cb9675476b9b6bd935c61ddfdf04a9a196cc0d7127d5cc6575d

Observation 13bfaada-3c94-4ac6-905e-68ac7850f840 · outbound

This paper cites Focus On What Matters: Separated models for visual-based rl generalization.Advances in Neural Information Processing Systems, 37:116960–116986.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Focus On What Matters: Separated models for visual-based rl generalization.Advances in Neural Information Processing Systems, 37:116960–116986

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.987399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:82657f20d3d058fdc9774b424d11662ae3ea764ce7f220ad615cd58727e5ed95

Observation 99353826-f1eb-4fd4-bf00-57ae2b3067fc · outbound

This paper cites Image de-raining using a conditional generative adversarial network.IEEE transactions on circuits and systems for video technology, 30(11):3943–3956.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Image de-raining using a conditional generative adversarial network.IEEE transactions on circuits and systems for video technology, 30(11):3943–3956

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.018152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:2ff7cac7c9a4331cb474197df74be71c9454fd288cecbeba0e147f931867e9e0

Observation 9431598d-80f3-4d46-87a4-ea66f69ebcac · outbound

This paper cites STORM: Efficient stochastic transformer based world models for reinforcement learning.Advances in Neural Information Processing Systems, 36:27147–27166.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations STORM: Efficient stochastic transformer based world models for reinforcement learning.Advances in Neural Information Processing Systems, 36:27147–27166

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.970351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:70d1e4a068696910519d56db9b56dfaad9b33214db6eba49a0bb76e50e9f5e65

Observation af4119c5-29ca-41c2-8e43-67e8e6236d55 · outbound

This paper cites Perceive-IR: Learning to perceive degradation better for all-in-one image restoration.IEEE Transactions on Image Processing.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Perceive-IR: Learning to perceive degradation better for all-in-one image restoration.IEEE Transactions on Image Processing

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.034829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:cc98cfbbc7991f2ac0c46034790588ec10ab4b4e4804c315aa738ba5360b37dd

Observation bd7e6aaa-de52-4be7-a024-7b32b912918c · outbound

This paper cites SAC Flow: Sample-efficient reinforcement learning of flow-based policies via velocity-reparameterized sequential modeling.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations SAC Flow: Sample-efficient reinforcement learning of flow-based policies via velocity-reparameterized sequential modeling

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.952866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:937913806d29c0d6c871bc15b8b6ac5ca81dfe1e91fe051b87f36fee8f92dcf1

Observation 510d052e-f34b-48d3-8aa0-fb35768e7d63 · outbound

This paper cites TACO: Temporal latent action-driven contrastive loss for visual reinforcement learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations TACO: Temporal latent action-driven contrastive loss for visual reinforcement learning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.964353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:678c30209fe49659c386eb2c700cb7c05eb359ff0b093f31c476d1ecd8304628

Observation 667e0c8b-a3c6-486b-b87c-0e3a9e5e7b8b · outbound

This paper cites OccWorld: Learning a 3D occupancy world model for autonomous driving.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations OccWorld: Learning a 3D occupancy world model for autonomous driving

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:04.026586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:2c5ca29355741145f4d1f19b4027710a3b68bf1252f333e7f158c96df01a2dc7

Observation 8079df82-f603-4666-a03a-c6ea86967a91 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-17T16:06:10.055251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:284bdd3c0f4abdfa66f7768ab947530388c3cfc40001cdccf987cd2a4743e06b

Observation 1aa5e06a-914e-4268-9983-80b05a44883c · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:47:30.400020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:b75adebe668a18531634387fe8cc121e9f52a597a9f71e127ff217b182eeb153

Observation 16be3768-a413-4804-ba88-da44e27a823e · outbound

This paper cites Uni-Perceiver-MoE: Learning sparse generalist models with conditional moes.Advances in Neural Information Processing Systems, 35:2664–2678.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Uni-Perceiver-MoE: Learning sparse generalist models with conditional moes.Advances in Neural Information Processing Systems, 35:2664–2678

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T01:17:03.958937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:fc29dae5a6ffc266b16f50c1bb3027420c5b6f3ac07f5ee63c208a48904ca0cb

Observation 4589fd75-7c7c-43fb-9b77-f995f161d4dd · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 83

Resolution
malformed identifier
arxiv_id, observed 2026-05-12T22:37:13.523094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:48:43.992238Z digest=sha256:b3fd45df442d54d7bd9c3423507d1cbaa14e8162336f353a8f43c08478c7f0b8

Pith citing papers

Observation 68f8ec7d-40ec-4178-905e-df5eca684075 · inbound

V2VCrafter: Consistent Street-View Image Generation Across Vehicles cites this paper.

V2VCrafter: Consistent Street-View Image Generation Across Vehicles Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-29T09:03:16.170109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:54:44.386180Z digest=sha256:f07176d50019f13af78ddb2336b9f6bfbfb0cc582daa2964df8769c3f6bf4bee

Observation 1612deaa-981d-4b15-a364-3c0648e3a10a · inbound

V2VCrafter: Consistent Street-View Image Generation Across Vehicles cites this paper.

V2VCrafter: Consistent Street-View Image Generation Across Vehicles Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T05:01:06.189476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:06.189476Z digest=sha256:91c5a24ecfca554c3f692a683c61731ef85b441a47529ba76a367fb980f9add7

Observation 1a566166-aff7-4eee-b9f6-7da096beee1b · inbound

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views cites this paper.

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:23:15.221048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T08:19:06.917721Z digest=sha256:d532756cb4d7652da139a5f16486929035e1be3a964b2609c75e1ae7bf48a4ee

Observation 866abc80-79d5-42ea-b297-555ac424c9ec · inbound

Universal Image Restoration via Internalized Chain-of-Thought Reasoning cites this paper.

Universal Image Restoration via Internalized Chain-of-Thought Reasoning Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-03T20:08:56.592588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T01:34:34.269899Z digest=sha256:d18f50e8f87b39829002c4daecaf0bff441cf616407c299c335678bec6c3b71c