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Paper Citation Record · LEDGER

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2412.06142.

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

pith.paper-citation-record.v1
2412.06142 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:01:37.129316Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:36:38.867280Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved8
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 635c23ab-b002-4648-b614-2b5c562866a9 · outbound

This paper cites Online extrinsic calibration on lidar- camera system with lidar intensity attention and struc- tural consistency loss.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Online extrinsic calibration on lidar- camera system with lidar intensity attention and struc- tural consistency loss

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.938785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.905252Z digest=sha256:690671205090fb0700082cd978b2a859a782c9ec196e7d0d6f3d7792f9a732d0

Observation c977513b-3464-4e38-bc14-f3a4e73bd067 · outbound

This paper cites Parallel driving os: A ubiquitous operating system for autonomous driv- ing in cpss.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Parallel driving os: A ubiquitous operating system for autonomous driv- ing in cpss

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.922305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.910435Z digest=sha256:d56e75dbedee3789fa7995b40e08b5e13c191b856f821a820df0dfcee9ee8617

Observation 84b7a085-2570-4ebf-b1b4-d8b8f25ce631 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.905783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.915279Z digest=sha256:49a0f463f8bcf09f4ca9493b43db350e1e84ece3e65a0c18c00de563478d9b99

Observation 76c874d8-61f8-4c51-9f12-e8b1c4a833c6 · outbound

This paper cites Wind- induced self-excited loads on bridges.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Wind- induced self-excited loads on bridges

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.888675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.921102Z digest=sha256:d7157d56bc2245b9f8ffb590353245f9c9981a19c225f0d740646bf8362980b3

Observation d083a94d-f518-47fd-80e4-2efa53308ce5 · outbound

This paper cites Lidar with velocity: Correcting moving ob- jects point cloud distortion from oscillating scanning lidars by fusion with camera.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Lidar with velocity: Correcting moving ob- jects point cloud distortion from oscillating scanning lidars by fusion with camera

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.873185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.926736Z digest=sha256:6fffe0df90b778526fd51db838cd9e4945f28b4406b8a4b4ce0063b8e447373a

Observation 33009bc3-5abb-4663-829f-5a281379bc3a · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Where2comm: Communication- efficient collaborative perception via spatial confi- dence maps

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.857006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.931515Z digest=sha256:1ca59ad6df576824f6993b1054503ae4b0fdc9b2cadcaf4206e46f959c2c0f79

Observation acf89a3c-7ca0-4a12-81fc-5d1cdd5963d0 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Where2comm: Communication- efficient collaborative perception via spatial confi- dence maps

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.842364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.936022Z digest=sha256:3869221d88e3ec00a15e71913cc7bf3b795631c05395aeacbcb2b5f5fde690e4

Observation cd44557b-f630-4ffd-98df-7b9caa88b1e0 · outbound

This paper cites General, single-shot, target-less, and automatic lidar-camera extrinsic calibration toolbox.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations General, single-shot, target-less, and automatic lidar-camera extrinsic calibration toolbox

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.828040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.940989Z digest=sha256:7cd655e6f80b67ceddb8b7966e4ef09625a65b7e27ccae22f65a00bfc77b8b42

Observation fe2db3cc-8b6f-49e2-99c4-38171e092cbe · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Pointpillars: Fast encoders for object detection from point clouds

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.813678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.945530Z digest=sha256:c311fcbd192cfc621e656a011bf119f7760c1235206a098be0176bc92bce9a63

Observation 7cfb2bd7-435f-4d04-80d9-a642af115356 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Learning distilled collaboration graph for multi-agent perception

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.799155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.949838Z digest=sha256:1628a12bd7e9f7bb9373783a257b4ca9904e5bf34880ec7f2d4055bc78e27465

Observation 761e2a07-7fb7-4252-9640-2ff0f7270b4f · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations V2x- sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.784241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.954426Z digest=sha256:4903ab814bff89b5640686d9cee162f463e6dfbefa53d7ffb296ae38bb601533

Observation d7a8533a-5cf2-4409-b4e7-b73b8cd5ff54 · outbound

This paper cites A systematic survey of con- trol techniques and applications in connected and au- tomated vehicles.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations A systematic survey of con- trol techniques and applications in connected and au- tomated vehicles

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.770221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.958788Z digest=sha256:792dcb64fdd205342a51d6b08f6c7d492061e8f59bf286236acdf24d2c705db3

Observation d8c8a65d-3b22-4413-be11-90765d0e7859 · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations When2com: Multi-agent perception via communication graph grouping

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.754554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.963500Z digest=sha256:0aa06acfa5b289e9a4ab154bd0e7b9d6eda0191056530e4becfec5a678c1886d

Observation 48d83f50-095d-45db-add8-71615fb1ace6 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Bev- fusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.737263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.968495Z digest=sha256:b8ee62e00094a0cbc4a4ac330e667540091e9d29101206a8a8afda46815e9909

Observation dfa2c973-1c75-416c-9b93-cc0100b05aa0 · outbound

This paper cites Hydro-3d: Hybrid object detection and tracking for cooperative perception using 3d lidar.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Hydro-3d: Hybrid object detection and tracking for cooperative perception using 3d lidar

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.720547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.973052Z digest=sha256:a082483ae10b0796a3f81bb8fd9afff0e2e55d703cbd535f2900b4abd7964662

Observation 8add20cb-083c-4672-8375-89ad2b18562f · outbound

This paper cites To- ward foundation models for inclusive object detec- tion: Geometry-and category-aware feature extraction across road user categories.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations To- ward foundation models for inclusive object detec- tion: Geometry-and category-aware feature extraction across road user categories

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.703989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.977265Z digest=sha256:3e95dcdd2f58d60e01da60e0aa86331a6d6b916c48d7184f1fa9eea8b055ce82

Observation d90aca23-1101-405f-a16f-b8b60501abf7 · outbound

This paper cites Urban flood mapping with residual patch similarity learning.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Urban flood mapping with residual patch similarity learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.686903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.981513Z digest=sha256:cda7d4b8f73f6bef8fea44839269f36cf71b3bf09b987e4d90d4c544f1fb9e94

Observation 7950277b-62e0-4f27-ad79-21594234b5db · outbound

This paper cites Patch similarity convolutional neural network for urban flood extent mapping using bi-temporal 9 satellite multispectral imagery.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Patch similarity convolutional neural network for urban flood extent mapping using bi-temporal 9 satellite multispectral imagery

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.671278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.986130Z digest=sha256:94fafba4c8152b6a11d94fddcd93f260ce084b1ee0ac1e2f471ddb3f9bbed6ae

Observation ddc4259d-41a3-4799-8b8e-a54279ba8953 · outbound

This paper cites Lift, splat, shoot: En- coding images from arbitrary camera rigs by implic- itly unprojecting to 3d.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Lift, splat, shoot: En- coding images from arbitrary camera rigs by implic- itly unprojecting to 3d

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.654878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.990714Z digest=sha256:cec791fe1edaba577dda9710845db85fa232c2db115ab64258b1350ed7167ff5

Observation fd0a1f8d-6329-417e-95fb-bba865418ce5 · outbound

This paper cites Position determines perspective: Investigating perspective distortion for image foren- sics of faces.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Position determines perspective: Investigating perspective distortion for image foren- sics of faces

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.639281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:36.996101Z digest=sha256:2055f6b69a560d90101363bfc868572cb54f65fc4a474618a96803ad913e5a01

Observation ebcc0115-b108-4fdb-ab35-fa2645447af6 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.625264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.001487Z digest=sha256:d8b43986c69b4a0ee0d18809fe2cb21a33281cfe44ed6b9efd21e19b9aaaad25

Observation b5affd45-5828-4c00-bc7d-5492899656ad · outbound

This paper cites Perspective dis- tortion modeling, learning and compensation.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Perspective dis- tortion modeling, learning and compensation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.610640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.006906Z digest=sha256:d4145ec35194717c5f000b8fb1349c03fe7598a854b453a1237451b198d5235e

Observation 55f96906-eaeb-4bc6-92df-839040fbe925 · outbound

This paper cites Smart mobility digital twin based automated vehicle naviga- tion system: A proof of concept.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Smart mobility digital twin based automated vehicle naviga- tion system: A proof of concept

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.594325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.012084Z digest=sha256:112d4f90765bf24e445c23f96ea125190bcfe40b4306af712216b70c35ea4773

Observation 19080735-56a5-42aa-92b0-7bfffe6fffa5 · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint perception and prediction.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations V2vnet: Vehicle-to-vehicle communication for joint perception and prediction

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.578124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.016296Z digest=sha256:6e3b2fac3aab1f0e1414125a06fa4d71de86498a1bc12860be948ead5598120c

Observation d20d57e8-dbc0-417b-a0b9-5650bd2347cf · outbound

This paper cites An automated driving systems data ac- quisition and analytics platform.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations An automated driving systems data ac- quisition and analytics platform

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.548186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.025569Z digest=sha256:f92db37ad16518bed888972bb415d8892c6f949dd1732cfe86e3df349d0844b7

Observation 8b5dfb84-e6bd-4750-b58e-918117f6f3c0 · outbound

This paper cites Hm-vit: Hetero-modal vehicle-to-vehicle cooperative percep- tion with vision transformer.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Hm-vit: Hetero-modal vehicle-to-vehicle cooperative percep- tion with vision transformer

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.533300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.029884Z digest=sha256:e50122d8cad52b978576c0698eea63d67b7fb8ede6e39c0c3cf9b3d5603c5b66

Observation 0354f4fe-dfb7-4fd0-af08-f9eeebf2119f · outbound

This paper cites V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T20:01:37.035176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:01:37.035176Z digest=sha256:78d9a6c1b07abbb7bf8ed0b5f50ea2c6bb5d25efd149242d790b7207bf8e7d1f

Observation 75c57227-eb3e-4e1a-8f65-a02ebf9c2b23 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Opencda: an open cooperative driving automation framework integrated with co-simulation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.518079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.040154Z digest=sha256:1f4ce761a36a1466f69a249a92ee69954cce6541fa71d867eb326231391ddf9e

Observation 9aaa273e-6e61-41e3-9ae1-85f3616443e8 · outbound

This paper cites OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T20:01:37.044089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:01:37.044089Z digest=sha256:43b4db7d54aef7c10560db472c5015c1076afec6bbaee268e3726486afc013f5

Observation 580d73f6-eea7-426e-964d-57b6021e9f33 · outbound

This paper cites V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T20:01:37.048462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:01:37.048462Z digest=sha256:5092410623ded46f8405f06500b493aff875d894f120f49abef7900a15b03ef7

Observation b87ab72c-dbf7-4c6c-a212-794aa4857d02 · outbound

This paper cites Bridging the domain gap for multi-agent perception.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Bridging the domain gap for multi-agent perception

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.502113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.052892Z digest=sha256:5bf546e91675f5621810a9d872d68903c86c4457751976e23a0093eb223d1d93

Observation f2fa62f2-532b-4f23-845c-53920231db44 · outbound

This paper cites The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:01:37.176201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.057059Z digest=sha256:a100c6b046f2cb4ee4cd7cb1c56a52095653108aea841ab6265577c68b3d9231

Observation b06e53ba-d946-4957-8f0b-463b93cbdf49 · outbound

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

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Dair-v2x: A large- scale dataset for vehicle-infrastructure cooperative 3d object detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.486067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.062085Z digest=sha256:a88e148f310aa8f810bd7a45f23556a36ff918983eb562af368bd38ad26c26f5

Observation 3514f4a1-168d-497b-9341-fac9a6827d46 · outbound

This paper cites Systematic error mod- eling and bias estimation.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Systematic error mod- eling and bias estimation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.469668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.066144Z digest=sha256:46211e6b42ece5a710cbbb2273efcbc3e3e57ba4a4399fc4ba83b5b380348fca

Observation e77b7b3f-b04f-4381-a06a-14fc5837f184 · outbound

This paper cites Numerical simulation study of vibra- tion characteristics of cantilever traffic signal support structure under wind environment.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Numerical simulation study of vibra- tion characteristics of cantilever traffic signal support structure under wind environment

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.453087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.070523Z digest=sha256:fa9d493be70ed02cf05f1796ef41ad61aa884fa7d45e9a71aaee94ab8248ead1

Observation 25451565-4bf5-473d-a191-ed178bafe429 · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:01:37.436869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.074727Z digest=sha256:c195292745260746c9ee931ff9b64e14c7b56f78f61c02f5c6478269e85b7fe7

Observation 572f0dbd-c84d-4b46-9fe9-c68329e0b295 · outbound

This paper cites Cooperfuse: A real-time cooperative perception fusion framework.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Cooperfuse: A real-time cooperative perception fusion framework

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.422180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.078947Z digest=sha256:b194f2cc7f2c03e64ac4492f6b0ca29d83c76c3746c5c41b760a7e12896099fe

Observation 97ac71b1-5c46-47b7-9165-c2fb60e248b8 · outbound

This paper cites Miscalibration in the extrinsic parameters can lead to misaligned sensor data, negatively impacting the performance of perception algorithms.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Miscalibration in the extrinsic parameters can lead to misaligned sensor data, negatively impacting the performance of perception algorithms

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.406091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.082960Z digest=sha256:fee927118128529f14cefa9d80b88a5b7f47386ce1ffa20c944beb4ac3dc8398

Observation 59b132a1-d1f0-4f8c-acb5-b0102c30821f · outbound

This paper cites To emulate these real-world impacts on LiDAR and camera sensors, we introduce rotational and positional noise into our multi-agent system.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations To emulate these real-world impacts on LiDAR and camera sensors, we introduce rotational and positional noise into our multi-agent system

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.390589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.088120Z digest=sha256:6a16b03824add65bc472eedfad7a730cbf6e08d65f75b87dc68d1824a6379b21

Observation deeb5445-1e9e-4a64-964c-7629efbcfac0 · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:01:37.374620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.092581Z digest=sha256:221f8348be5486b6c11f8b970391d062d295531daf5ff10d7e99d7dc3b357a4b

Observation a64b8548-caad-44bd-9538-6b2395cb8907 · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:01:37.357388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.097264Z digest=sha256:df327371f2643138278b434fcba93fe451b0df7c289d2861414ba2607b3710d5

Observation c1f5b0a2-b047-42fc-9d03-7d5f182fc0f0 · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:01:37.342722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.101414Z digest=sha256:0e92b04e59e145aea9d0f249117c4a6426bbb1d02a89f38a1f78eba0b996686d

Observation d1a36b25-5c4a-41ee-a252-5df8ac309b4a · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:01:37.326321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.106203Z digest=sha256:341ea8fdd0da59ff5aec7bace5e6c864a4f42facc2c08b019a18b1c81fb2f4f4

Observation 163be2fd-2409-45a9-9f90-825ed850fcaf · outbound

This paper cites • Low Distortion (1/2): α = 0.014: Represents a moderate horizontal shift, introducing noticeable skew.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations • Low Distortion (1/2): α = 0.014: Represents a moderate horizontal shift, introducing noticeable skew

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.307932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.110436Z digest=sha256:046717cd69171e822c6a6083a6d105d5abad4f30005028ad3caddd3815dff160

Observation 562dce7c-6060-4060-b98b-af8e93b785f1 · outbound

This paper cites These distortions arise from changes in the ego vehicle’s position 3 Figure 6.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations These distortions arise from changes in the ego vehicle’s position 3 Figure 6

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.292187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.116290Z digest=sha256:976ee5f934402d56545464a56e4a288f398a76a9d2b6a4db9347a5748769f476

Observation 668ce80c-61d2-4772-b1e7-8a49202bd8f0 · outbound

This paper cites Visual representation of detection results using both camera and LiDAR data.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Visual representation of detection results using both camera and LiDAR data

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.275750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.120552Z digest=sha256:fe4c6d083dc4bdf37d62bf538caa80d889524e4d96e9f9dc39e10462152ba545

Observation 95df4669-45a3-4f51-9cae-88616b028376 · outbound

This paper cites Factors such as temperature changes, moisture, and corrosion can cause sensors to shift to incorrect posi- tions, resulting in persistent offsets that affect detection ac- curacy.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Factors such as temperature changes, moisture, and corrosion can cause sensors to shift to incorrect posi- tions, resulting in persistent offsets that affect detection ac- curacy

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.260001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.124886Z digest=sha256:6b25bf53e313bdfa39f4b5f44b93059b7952c2fa51fe842646cc1e080f46f019

Observation 2f5d52f8-d495-4af3-8333-92a8d3d49768 · outbound

This paper cites 8 and Fig.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations 8 and Fig

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:01:37.242369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.129316Z digest=sha256:f6d9d78610c6b905d8df7e116b909e270470c7046d9fae80f125ec06e3bd2a85

Observation 7db3d6bf-4ceb-40ed-a085-d2f6c0fb63f3 · outbound

This paper cites an unresolved cited work.

AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations Unresolved cited work

Reference 621

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T20:01:37.563037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T20:01:37.021181Z digest=sha256:51deb9da058f2652d8b2ebb5757de718748303fb8508d0e3518955fa6a2e3fb1

Pith citing papers

Observation 0b80b614-a376-4393-875a-8dc9a9b41d78 · inbound

SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception cites this paper.

SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-07-31T23:36:38.867280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:36:38.867280Z digest=sha256:f22461633420672c75dd528d8aa0b1b7d43ac092ef69fc31ebd3d9da7f710bc3