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Paper Citation Record · LEDGER

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2502.08169.

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

pith.paper-citation-record.v1
2502.08169 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:14:31.713049Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:17:40.597806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:41:08.808451Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28e4c6eb-896e-48f7-b417-8fc7e79ae2a0 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Pointpillars: Fast encoders for object detection from point clouds,

Reference 1

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Source-reported events for the cited work

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

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Observation b6207919-9a72-4f2c-9fef-403858d98754 · outbound

This paper cites 3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus 3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception,

Reference 2

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raw_fallback, observed 2026-08-08T10:14:32.111221Z

Source-reported events for the cited work

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

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Observation b2363bc1-78b0-4220-91e0-05f22a219f52 · outbound

This paper cites Safdnet: A simple and effective network for fully sparse 3d object detection,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Safdnet: A simple and effective network for fully sparse 3d object detection,

Reference 3

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Source-reported events for the cited work

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

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Observation 3230921e-a975-4c02-90f7-3c84a01534be · outbound

This paper cites Temporal- channel transformer for 3d lidar-based video object detection for autonomous driving,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Temporal- channel transformer for 3d lidar-based video object detection for autonomous driving,

Reference 4

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raw_fallback, observed 2026-08-08T10:14:32.093403Z

Source-reported events for the cited work

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

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Observation f2a0f9da-d775-454f-8e78-bed21619ec77 · outbound

This paper cites Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Safe Occlusion-aware Autonomous Driving via Game-Theoretic Active Perception

Reference 5

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unresolved
no resolver link, observed 2026-08-08T10:14:31.570407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:31.570407Z digest=sha256:d86bce233cf9b5f93875d2776c4573b30bc30f502563429fcbce35fea1f2e787

Observation d02073b1-69cb-4377-954f-cd61f7615084 · outbound

This paper cites Quest: Query stream for practical cooperative perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Quest: Query stream for practical cooperative perception,

Reference 6

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Source-reported events for the cited work

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

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Observation 083fbdd1-f2d2-4d0f-ba5d-24caa86d0c91 · outbound

This paper cites What makes good collaborative views? contrastive mutual information max- imization for multi-agent perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus What makes good collaborative views? contrastive mutual information max- imization for multi-agent perception,

Reference 7

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raw_fallback, observed 2026-08-08T10:14:32.074313Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.578024Z digest=sha256:b3d12c6449d32b32e94fd3b773d88bf1798b2c6406fca0248e16238f9a7aeca4

Observation 3ae7a328-c5bf-4885-bf73-9839632136a1 · outbound

This paper cites Spatio-temporal domain awareness for multi-agent col- laborative perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Spatio-temporal domain awareness for multi-agent col- laborative perception,

Reference 8

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raw_fallback, observed 2026-08-08T10:14:32.061945Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.581363Z digest=sha256:68e707afdb2f752daf484ff857281df25343548f434fe03c4fc2e4f1cd0a1b06

Observation 1bbb27cd-184b-4acb-aee2-2ec4571cbd81 · outbound

This paper cites Robust collaborative 3d object detection in presence of pose errors,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Robust collaborative 3d object detection in presence of pose errors,

Reference 9

Resolution
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raw_fallback, observed 2026-08-08T10:14:32.049320Z

Source-reported events for the cited work

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

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Observation 6cbc0595-5a4c-4b03-859b-813e7fde2c6a · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confi- dence maps,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Where2comm: Communication-efficient collaborative perception via spatial confi- dence maps,

Reference 10

Resolution
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raw_fallback, observed 2026-08-08T10:14:32.036612Z

Source-reported events for the cited work

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

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Observation 9dd0ec80-3177-40ba-b523-ead81fcd0d76 · outbound

This paper cites Latency-aware collaborative perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Latency-aware collaborative perception,

Reference 11

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Source-reported events for the cited work

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

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Observation 8294dd9a-c6e7-4979-bb5f-8f17d99bf962 · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint per- ception and prediction,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus V2vnet: Vehicle-to-vehicle communication for joint per- ception and prediction,

Reference 12

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raw_fallback, observed 2026-08-08T10:14:32.007644Z

Source-reported events for the cited work

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

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Observation c8e19dbf-956f-4760-aeec-6065219b910d · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,

Reference 13

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raw_fallback, observed 2026-08-08T10:14:31.995376Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.599100Z digest=sha256:b497de391afa76f3c7891f15ec8579192a2cd607808e88fe6eeb92386520d8a1

Observation 0a42228d-fed6-4ffe-8c63-54535c0bcfc9 · outbound

This paper cites Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection,

Reference 14

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raw_fallback, observed 2026-08-08T10:14:31.984517Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.603535Z digest=sha256:9ec677aa284c9a755e7267c99b96322426be616910d58748e1a93098a8204ec3

Observation e54710f7-9eda-4e0c-98e7-672a943362b9 · outbound

This paper cites Asynchrony-robust collaborative perception via bird’s eye view flow,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Asynchrony-robust collaborative perception via bird’s eye view flow,

Reference 15

Resolution
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raw_fallback, observed 2026-08-08T10:14:31.975597Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.606728Z digest=sha256:8079c9113cfa323c0aaa290d629c8a36aaa066082f5899ebff40e99b0894ac4f

Observation 239a2987-6fa8-464f-87ce-eb71f876d0d4 · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection,

Reference 16

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raw_fallback, observed 2026-08-08T10:14:31.965008Z

Source-reported events for the cited work

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

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Observation de206395-3153-4490-baa4-a5df7667a291 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to- vehicle communication,

Reference 17

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raw_fallback, observed 2026-08-08T10:14:31.953407Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.613407Z digest=sha256:ab24204e4eb3cbfa6917afc48f105b2a6dd64679defa0cfcd6acea1805c2844b

Observation 743ee861-1117-4bba-8337-02f7268bcd27 · outbound

This paper cites V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,

Reference 18

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raw_fallback, observed 2026-08-08T10:14:31.942776Z

Source-reported events for the cited work

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

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Observation 2edd2518-f7b9-460e-b3d4-d0bbf2fc6901 · outbound

This paper cites Learning distilled collaboration graph for multi-agent perception,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Learning distilled collaboration graph for multi-agent perception,

Reference 19

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.620474Z digest=sha256:c6a64703ca9e370925bcddbe3d510b7439e9f24a87887b03eac123b61d058d2c

Observation 2ba83ecb-776a-42e3-abe6-dca9d1101a06 · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 20

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.623675Z digest=sha256:7f18f986dbc89cf0f8aef5ede4958ed9156cf5edbb7850ea4d715b28396af72b

Observation 302c359c-ac7e-4396-b56f-c2ad90d25ab1 · outbound

This paper cites Uncertainty in deep learning,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Uncertainty in deep learning,

Reference 21

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raw_fallback, observed 2026-08-08T10:14:31.909811Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.627016Z digest=sha256:e68dc10ae97bf682d9bb978f7fe0566d23bf419f20647c27467187544e4170c3

Observation 6168d253-8524-4b5b-b9b2-86add8952532 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 22

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no resolver link, observed 2026-08-08T10:14:31.630864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:31.630864Z digest=sha256:01c40db731fb6a62de22e7681a1b55a5187bc876a7ab999a5b6088cbab6ca4f3

Observation 155b24a9-6032-4b73-9e8a-e70083fb4d9b · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 23

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raw_fallback, observed 2026-08-08T10:14:31.892181Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.634105Z digest=sha256:ff00a0dad6afa2b1ed9ad1ae4f4cca72a098e786c3ed4b7ec5dad11c96b29ec2

Observation 599de46f-b865-4017-991a-15fc2ae43802 · outbound

This paper cites Uncertainty-encoded multi-modal fusion for robust object detection in autonomous driving,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Uncertainty-encoded multi-modal fusion for robust object detection in autonomous driving,

Reference 24

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raw_fallback, observed 2026-08-08T10:14:31.881138Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.636972Z digest=sha256:aa3f933d164fd8ac25b94e5efcb77770ee6c72d62c6ff6a23622c1aac147017c

Observation 19376687-ce05-4662-b686-8b0aec74c2d2 · outbound

This paper cites Leveraging uncertainties for deep multi-modal object detection in autonomous driving,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Leveraging uncertainties for deep multi-modal object detection in autonomous driving,

Reference 25

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raw_fallback, observed 2026-08-08T10:14:31.871460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.640213Z digest=sha256:199504067d40df4a3f3b306bbfd5d6b143db9559cf485dd4fb25041aa10b1c42

Observation bc995417-4d52-4b9b-9797-242411ffc710 · outbound

This paper cites Uncertainty quantification of collaborative detection for self-driving,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Uncertainty quantification of collaborative detection for self-driving,

Reference 26

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raw_fallback, observed 2026-08-08T10:14:31.861883Z

Source-reported events for the cited work

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

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Observation 9601c3d7-fb6e-4737-a881-ed9f2798f212 · outbound

This paper cites Collab- orative multi-object tracking with conformal uncertainty propagation,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Collab- orative multi-object tracking with conformal uncertainty propagation,

Reference 27

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.648877Z digest=sha256:e22a7ace69a0cd255bafd74d11c6c57dc90101c55acb6e31e1aa4694a36c3c03

Observation 51263b80-b7de-4ec0-8118-3fdf5b0d99b8 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus What uncertainties do we need in bayesian deep learning for computer vision?

Reference 28

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.654350Z digest=sha256:72f25d627b8cf014e85710ff985f80f5d65f379bace6d427853721e4096923a4

Observation 9ea3d515-c549-4d58-b442-230fceedbc7f · outbound

This paper cites Auto-Encoding Variational Bayes.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Auto-Encoding Variational Bayes

Reference 29

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no resolver link, observed 2026-08-08T10:14:31.660997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:31.660997Z digest=sha256:d97b32167a2fdf316254dfd93004f80c21670b4c5e0076143fe5817aa866df15

Observation 73f70040-2249-44f4-aa9d-7c0e0e55a82a · outbound

This paper cites F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,

Reference 30

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raw_fallback, observed 2026-08-08T10:14:31.830002Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.669208Z digest=sha256:0284ce01748cebe08db1753ef7e66f5542ae530b23ed15378bbf573d80f29c1e

Observation 2106b4ee-9ce9-4e78-b0b9-515d453b673e · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Mish: A Self Regularized Non-Monotonic Activation Function

Reference 31

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no resolver link, observed 2026-08-08T10:14:31.675916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:31.675916Z digest=sha256:de9115f7ac97e9a3001b7086dacc86e8d19df794fe7df206cb1c0a8b342f6c4a

Observation 3d7e82b9-4e84-41b8-8e24-3821da60ae35 · outbound

This paper cites Carla: An open urban driving simulator,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Carla: An open urban driving simulator,

Reference 32

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raw_fallback, observed 2026-08-08T10:14:31.820001Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.685726Z digest=sha256:efd9e74f89c204b08d1bcc5bef10106d5c86c9423f6865adb1bc515e2aae8309

Observation 298fc425-2c7a-4adf-b802-b7f5c4a59213 · outbound

This paper cites Opencda: an open cooperative driving automation framework integrated with co-simulation,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Opencda: an open cooperative driving automation framework integrated with co-simulation,

Reference 33

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raw_fallback, observed 2026-08-08T10:14:31.806592Z

Source-reported events for the cited work

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

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Observation 9fd9f5ea-f8b1-4a2d-b96e-c2062a87ed6f · outbound

This paper cites Focal loss for dense object detection,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Focal loss for dense object detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:14:31.794870Z

Source-reported events for the cited work

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

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Observation 4fbab150-31aa-411d-9fc5-069d56dcd1d1 · outbound

This paper cites Decoupled weight decay regularization,.

CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus Decoupled weight decay regularization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T10:14:31.781653Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T10:14:31.713049Z digest=sha256:6c2b1deaf5747e331ff38e47b95f82b0ccdf7a3344ccbbd28ff2dfd6b1b26ca6

Pith citing papers

Observation 64670d22-bb0e-4cbb-903a-9a8e927335a7 · inbound

Collaborative Trajectory Prediction via Late Fusion cites this paper.

Collaborative Trajectory Prediction via Late Fusion CoDynTrust: Robust Asynchronous Collaborative Perception via Dynamic Feature Trust Modulus

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:41:08.810176Z

Source-reported events for the cited work

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

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