Paper Citation Record · LEDGER

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking

As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.04762.

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

pith.paper-citation-record.v1
2507.04762 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:39.135500Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy20
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54fa8eb5-d151-4f86-8451-03b002ca4eeb · outbound

This paper cites Intriguing properties of neural networks.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Intriguing properties of neural networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:37.697705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ddaf5b-a3cd-4450-a476-30353dbee51b · outbound

This paper cites Generating 3d adversarial point clouds,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Generating 3d adversarial point clouds,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.706031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a1a9018-65e2-4c03-8426-8fd0cb115c24 · outbound

This paper cites Adversarial shape perturbations on 3d point clouds,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Adversarial shape perturbations on 3d point clouds,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.565227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 238e0d5a-f8e1-45c4-b6ec-e13e92317a2d · outbound

This paper cites Robustness of 3d deep learning in an adversarial setting,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Robustness of 3d deep learning in an adversarial setting,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.404258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d36620e-30af-46f6-9ca5-8a244a70e0aa · outbound

This paper cites A comprehensive study of the robustness for lidar- based 3d object detectors against adversarial attacks,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking A comprehensive study of the robustness for lidar- based 3d object detectors against adversarial attacks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.260929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e09033d9-03ef-469b-a0f4-500fbb14c16e · outbound

This paper cites Robust deep object tracking against adversarial attacks,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Robust deep object tracking against adversarial attacks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.124218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52a284d3-e3eb-41a6-99d4-48e26519e4f0 · outbound

This paper cites Dual-dimensional adversarial attacks: A novel spatial and temporal attack strategy for multi-object tracking,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Dual-dimensional adversarial attacks: A novel spatial and temporal attack strategy for multi-object tracking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:42.020421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ec8d99b-6f17-4707-89fa-6f270219dd4c · outbound

This paper cites Fooling detection alone is not enough: Adversarial attack against multiple object tracking,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Fooling detection alone is not enough: Adversarial attack against multiple object tracking,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.900103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8184f1d-9d74-471b-8e45-c559624bc28e · outbound

This paper cites Papmot: Exploring adversarial patch attack against multiple object tracking,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Papmot: Exploring adversarial patch attack against multiple object tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.771580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8fa24d08-df41-4091-894b-e19b61996e73 · outbound

This paper cites Physical hijacking attacks against object trackers,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Physical hijacking attacks against object trackers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.672378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2af598c6-0e3b-4a2c-ac6f-dd65c9a0e31a · outbound

This paper cites Siammot: Siamese multi-object tracking,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Siammot: Siamese multi-object tracking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.573176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d79685e9-d055-4b53-a37d-baef804eb312 · outbound

This paper cites Adversarial attacks on multi-agent communication,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Adversarial attacks on multi-agent communication,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.460978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50a2f9e4-ae9a-47ed-bf7f-23d764c12532 · outbound

This paper cites Enhancing tracking robustness with auxiliary adversar- ial defense networks,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Enhancing tracking robustness with auxiliary adversar- ial defense networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.374688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24296886-3ebb-46fb-8ca4-ea0fd2648c68 · outbound

This paper cites Adversarial Attack and Defense on Point Sets.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Adversarial Attack and Defense on Point Sets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:38.444780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e021b3-905b-40aa-ba53-79c4a82e508e · outbound

This paper cites Made: Malicious agent detection for robust multi-agent collaborative perception,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Made: Malicious agent detection for robust multi-agent collaborative perception,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.220537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 344a4261-0a20-4d13-b7ca-ba55477e1729 · outbound

This paper cites Robust multi-agent communication with graph infor- mation bottleneck optimization,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Robust multi-agent communication with graph infor- mation bottleneck optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:41.052234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e5990d86-f3ac-4c52-a78c-413eb656f3ce · outbound

This paper cites Least-squares meshes,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Least-squares meshes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:40.777924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f735931-191a-49c2-8239-a92f4a987a02 · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle- to-vehicle cooperative perception,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking V2v4real: A real-world large-scale dataset for vehicle- to-vehicle cooperative perception,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:40.518295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4de82bee-1cef-409a-853d-a96c0f5e806b · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:40.272911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95eec81a-630c-4a43-92c1-75381cb5249f · outbound

This paper cites Graph laplacian processing based multi-modal localization backend for robots and autonomous systems,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Graph laplacian processing based multi-modal localization backend for robots and autonomous systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:39.999516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bc8ce2f-af06-4925-913e-b6aaf29c30ec · outbound

This paper cites Probabilistic 3d multi-object cooperative tracking for autonomous driving via differentiable multi-sensor kalman filter,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Probabilistic 3d multi-object cooperative tracking for autonomous driving via differentiable multi-sensor kalman filter,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:39.709622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 912ad8c6-0177-43f4-81ee-ee2519bdb257 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking Second: Sparsely embedded convolutional detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:39.415070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.