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Paper Citation Record · LEDGER

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.04696.

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

pith.paper-citation-record.v1
2508.04696 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:50:10.862652Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy34
  • unresolved8
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d706038b-9b55-4c72-a07c-a1d47ace6048 · outbound

This paper cites Cross-view semantic segmentation for sensing surroundings,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Cross-view semantic segmentation for sensing surroundings,

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 2026-08-15T06:32:42.880941+00:00.

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Observation 1a693947-9c19-4761-874e-37c2fc2a45ed · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T23:50:16.854451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bd5a0623-8906-4fa2-80bd-4f31f9b02f09 · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,

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 2026-08-15T06:32:42.880941+00:00.

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Observation 82dd4a83-acf5-4fca-83f4-9416761b6315 · outbound

This paper cites CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

Reference 4

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verified exact
local_arxiv, observed 2026-08-05T23:50:11.523240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b97ec6fe-6747-4f96-bb25-3f983a7d2441 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 5

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unresolved
no resolver link, observed 2026-08-05T23:50:06.052483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:06.052483Z digest=sha256:9f7294368d32d064bf04805fb320ddde3ad8b3b5fb80195d0ecef0806a9ce77d

Observation 5660e623-d552-490f-b131-07e6735a1087 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T23:50:16.548092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dfd5873d-1d72-4304-a073-246877191d99 · outbound

This paper cites Simple-bev: What really matters for multi-sensor bev perception?.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Simple-bev: What really matters for multi-sensor bev perception?

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-05T23:50:16.395134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.209012Z digest=sha256:5f361e4e873818da05ba9651d11f7d31196c0f1e0c1c964eca25fd64da8f5b67

Observation ed59ed8d-f81d-44fc-87e1-648d0affd584 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:16.205990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.310631Z digest=sha256:c715ecb8a3a12809660748ed86403b61e8cf3a612baf5095d3cc17e6edfc78d5

Observation 06019327-14e4-42f4-a634-bca10cdd6989 · outbound

This paper cites Petr: Position embedding trans- formation for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Petr: Position embedding trans- formation for multi-view 3d object detection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:16.045974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.393153Z digest=sha256:03d07701f3842f3786ab6e90a7acd6f93612acfb77dc15ff062432663c4c32d1

Observation ce4df9f9-95dc-406a-89b8-13b9b96a858c · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification A simple framework for contrastive learning of visual representations,

Reference 10

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unresolved
no resolver link, observed 2026-08-05T23:50:06.450194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:06.450194Z digest=sha256:568b91a63e8dc59404b3c258424877d87853380e7fec6c59a9c25c4247222877

Observation 04a3e24e-5736-4109-8bcc-a2f87ee2b5a9 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Momentum contrast for unsupervised visual representation learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.892711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.498285Z digest=sha256:717e9218e14196fba11bf6684555e98cd14745c3856b4aa95215faeccfe277a3

Observation 5cb2124b-137e-4293-8b88-4d44dbabbe8a · outbound

This paper cites Supervised contrastive learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Supervised contrastive learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.755436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.593374Z digest=sha256:729a365894d0ee5bd2245468f83e9722642e7e04ac0a0a4399652533f176c590

Observation b31c41ee-b1c9-4366-8d90-7507c5d9b2c3 · outbound

This paper cites Contrastive Learning for Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Contrastive Learning for Object Detection

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:50:11.355749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.657909Z digest=sha256:8dc3178e8471f8b98c711888353fd38f34d67e6c38ab14d2b7785d3ff4ce2b95

Observation 2ef93534-4d63-4fc3-bcd1-8f11a9c9e3ff · outbound

This paper cites ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:50:11.126776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.693424Z digest=sha256:4025c6b5c688e08fb0099818dfef3e5727ee56aea37f0dfdab81a102bdde4b70

Observation efe2ee9c-544d-4418-8e8c-fda7371b9e1f · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification nuscenes: A multimodal dataset for autonomous driving,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.648647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.696757Z digest=sha256:538fc6f346fd86373bb19432197524b6fb7c672eef75def9d557e34cf9aac84d

Observation 0a572d0d-2fe3-4a40-8a6b-d3ff6078bb88 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Scalability in perception for autonomous driving: Waymo open dataset,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.541899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4142e823-302c-4fb9-ad63-07e4b52f0302 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.402841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 86e06f67-aa31-4d06-b8b9-d1739c46f110 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bridgedata v2: A dataset for robot learning at scale,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.212159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:06.964904Z digest=sha256:5404f11bc24d305cb4c84693fa8d41a0749b76d72d41001355d798a3ba1404e3

Observation c7228fb2-07d8-4c01-9bb7-9cc145d9ddab · outbound

This paper cites Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:15.051202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e5f85655-72da-4633-81b6-320dfcd4e20b · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification ImageNet: A Large-Scale Hierarchical Image Database,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:07.214689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:07.214689Z digest=sha256:0abe609cbbac9462a4a790bd41d589bbd62a02c32128fb6c8805db7c964b6b30

Observation b29867c5-c5a5-49e7-9f8d-cc065a93b1f7 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:14.865875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:07.312264Z digest=sha256:85df04358411ba3f82d052546d126ce6d29819f2580a61145480e30b52385b75

Observation 96f70bc3-027e-4821-a9a0-b9a040dadc68 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:07.394480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:07.394480Z digest=sha256:c7e21f69631c4d3f2a285907f165a7359fb84f7e387b0e75a51ff24c2dae919a

Observation c37d4886-c444-4556-b34c-05174e19da6b · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:14.686119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:07.580030Z digest=sha256:6f7dd681729d4e1baa255fcca62768c36b1d29ed30077ba877a42b233c9c120e

Observation 68481600-4396-4483-b05d-e0ab5a86e3ca · outbound

This paper cites Understanding bird’s-eye view of road semantics using an onboard camera,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Understanding bird’s-eye view of road semantics using an onboard camera,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:14.504460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:07.756928Z digest=sha256:6f380646b0ed6befa7364bcef7cc125271132641fa87ad1afc35f50049fff33b

Observation 80fa726e-bacd-43be-93fc-398ac67b5f32 · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Petrv2: A unified framework for 3d perception from multi-camera images,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:14.313447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:07.888218Z digest=sha256:526933265a2591c96f0975ca22b36ced814e6ddcd3eb533abde724b8af80666f

Observation db72df96-f037-4399-94c7-1d62d4f5e4b0 · outbound

This paper cites Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:08.017871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:08.017871Z digest=sha256:275813d25cf681c4a6a1f67cbf015e2546b35f14f0f8f68196195e681952cee1

Observation 5c9b6f08-4b52-41e3-adad-1d71bcb6af60 · outbound

This paper cites Polarformer: Multi-camera 3d object detection with polar transformer,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Polarformer: Multi-camera 3d object detection with polar transformer,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:14.190395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.157090Z digest=sha256:9c5392cf678023e62038489ff5d9ad56aefd235895990bf07be87b334e7a3dd2

Observation 89e3b44e-b0ff-46fd-b826-9b7e78f1e0a4 · outbound

This paper cites Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.999253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.341665Z digest=sha256:2412862cdf4e2f6425816e565e1b4595921af1e6a82b3a460b90452cf01dcc9a

Observation 6752b74b-b2a3-42df-8bb4-bc9e5457cce1 · outbound

This paper cites Sa-bev: Generating semantic- aware bird’s-eye-view feature for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Sa-bev: Generating semantic- aware bird’s-eye-view feature for multi-view 3d object detection,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.862013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.478314Z digest=sha256:829be9fcf6740ca12238ec7eb12bc7bebe83acc2049e181ca8673168eb4cdebb

Observation 2398309c-a0c2-44d8-938d-3d92976a4a57 · outbound

This paper cites Fb- bev: Bev representation from forward-backward view transformations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Fb- bev: Bev representation from forward-backward view transformations,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.701310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.606219Z digest=sha256:abab5859e9a9589f846bcd41b690844320666ed7604bbd76e8cf1e24d63fa1ee

Observation a261ae8f-a353-4b24-bcab-c6d190b2e1db · outbound

This paper cites Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.554070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.762674Z digest=sha256:e27f5561955458b2b202e6a049abbe3a7a82ff84bfd7743b7fa76fa1a070a3a1

Observation 590e798d-2c9b-42b9-9778-176763e767d1 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.369758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:08.958525Z digest=sha256:b03a0d0517911de71c160f6da4a2b523dac033948de6baac1df3a17db3b98d00

Observation 911afc30-8ec0-48c4-929b-fa64c41f1b47 · outbound

This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Internimage: Exploring large-scale vision foundation models with deformable convolutions,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.183871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.116715Z digest=sha256:4b4198a49ff1268cc46c8ad3509fe5642e159c4ad342e24fc7403eeb37d910c6

Observation 8ea29bb3-ee1f-4b74-81df-c99ace34a20e · outbound

This paper cites Bootstrap your own latent-a new approach to self- supervised learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bootstrap your own latent-a new approach to self- supervised learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:13.051376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.360609Z digest=sha256:89f6630a2bd98ea73809528de885d0628bfcb8ca80fe594eadd82eb7ca74ecd5

Observation c3a4f6a1-dcb6-4f1d-9a5b-10c8e2e149f4 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Barlow twins: Self-supervised learning via redundancy reduction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:12.861317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.521996Z digest=sha256:b40ee4ae67b7aafbacc2fec5f78755817e1dd42ebc50f8ecb3cc36e5cc46b706

Observation beff3e9d-dd93-4c21-96ba-1b0eb80d73b2 · outbound

This paper cites Semi-supervised semantic segmentation with pixel- level contrastive learning from a class-wise memory bank,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Semi-supervised semantic segmentation with pixel- level contrastive learning from a class-wise memory bank,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:12.699555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.719909Z digest=sha256:2beea1242b646c5f3f7fd04ed92ce7adeb8412e335452c46b7673c47bfe90fbb

Observation 29d0d697-efb7-45da-8a77-42333525e075 · outbound

This paper cites Pixel contrastive-consistent semi-supervised semantic segmentation,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Pixel contrastive-consistent semi-supervised semantic segmentation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:12.495353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.849154Z digest=sha256:8b694d0afe0a5cb7f3c40f0f234e9ab6ddf91f78f5f9ae846e72023a679fc056

Observation 7699582b-7b5a-4732-b185-615fa8ef155f · outbound

This paper cites Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:12.340286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:09.950798Z digest=sha256:52d1d7f00daa1ade881594146a4662e06c56b22aa46d9fbb6e847b5b33531b3b

Observation cbb11011-4a53-4731-a247-547c146058f6 · outbound

This paper cites Planning-oriented autonomous driving,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Planning-oriented autonomous driving,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:12.176265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:10.139297Z digest=sha256:c20662d3fe19f22acfd66da53f492b2296c78772a584fa8691264232e7ddc93c

Observation 890891cc-81ce-4409-ad49-2c08150b8c5a · outbound

This paper cites End-to-end object detection with transformers,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification End-to-end object detection with transformers,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:11.993234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:10.264385Z digest=sha256:19b79930aaec223afa576c231f086e5739d6c47e97d2ae95fd8918c7886cd583

Observation 816d539b-69fe-4093-9a7e-a8ac1fa75a25 · outbound

This paper cites Mask r-cnn,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Mask r-cnn,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:11.863600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:10.388277Z digest=sha256:996a5b6ac1a8b58b3972d61a8734dd60ece3686c6f4846c5c08af0e288d1c914

Observation e4f6aed5-2e3d-4895-a9c1-2191e7ca27b2 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:10.517234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:10.517234Z digest=sha256:ed7212d16931943458a4e7b03ec9817c7b509f5e84759481205f14dfd3eadc76

Observation cc1ff792-1057-4032-aab1-7036b67b2696 · outbound

This paper cites Deep residual learning for image recognition,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Deep residual learning for image recognition,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:10.678848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:10.678848Z digest=sha256:531782293cb55396169551570c403c181169450e52594d2d958d37da8680bdc6

Observation 724f44c6-9d82-453d-be53-16fbfc3c3a72 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Improved Baselines with Momentum Contrastive Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:10.778054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:10.778054Z digest=sha256:c24f853aeafd3c91fb5628b365441d5f485379eee4d093ce5712dd40adea03c3

Observation e809cbd7-458b-418f-baad-71daca0f8192 · outbound

This paper cites Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:50:11.693885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T23:50:10.862652Z digest=sha256:6d390f9a96cd3219808f34885901600e5b56f8543a3670521c49de577c08763b

Pith citing papers

No inbound Pith citation observations are available.