Paper Citation Record · LEDGER

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.07552.

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

pith.paper-citation-record.v1
2508.07552 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:06:05.591786Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

21 of 21 outbound references displayed

verified exact4
verified fuzzy13
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcc1e82e-7971-4e6f-82b5-ec4998712608 · outbound

This paper cites Neural module networks.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Neural module networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:03.775846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cdac56f-e4b8-423a-9e4e-3b53f04c3103 · outbound

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

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring nuscenes: A multimodal dataset for autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:09.262226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56ba97cc-1503-4507-a53a-99aef17a6a54 · outbound

This paper cites Grad-cam++: Gener- alized gradient-based visual explanations for deep con- volutional networks.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Grad-cam++: Gener- alized gradient-based visual explanations for deep con- volutional networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:09.008995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9a74bd1-9b0f-45f1-a61a-1506ec6f6f67 · outbound

This paper cites Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:06:06.320417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13f44938-4829-4868-97d8-731a87f31adc · outbound

This paper cites CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:04.066268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5537277b-aa45-4aa6-8286-4217ba828691 · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:04.172454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2a75f2-fbc1-419e-8b40-efb0e77c46e3 · outbound

This paper cites BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:06:06.149839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1afdee9-280b-4137-9777-fa45e9b0b0fa · outbound

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

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Bevdepth: Acquisition of reliable depth for multi-view 3d object detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:08.772232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8274cc12-6d21-4780-ae8f-6adb3c514acd · outbound

This paper cites Bev- former: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Bev- former: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:08.555227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93a0223b-485e-4658-b2b2-f7c448b4ecd0 · outbound

This paper cites Multimodality im- age registration by maximization of mutual information.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Multimodality im- age registration by maximization of mutual information

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:08.274525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2616961-bfc1-4df3-a127-b8155169ff88 · outbound

This paper cites Supervised quality assess- ment of medical image registration: Application to intra- patient ct lung registration.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Supervised quality assess- ment of medical image registration: Application to intra- patient ct lung registration

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:08.052471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc7370fa-170d-454a-a79c-9cb23cfa7001 · outbound

This paper cites Clip-bevformer: Enhancing multi-view image-based bev detector with ground truth flow.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Clip-bevformer: Enhancing multi-view image-based bev detector with ground truth flow

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:07.757128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7636ac15-19aa-47a3-bf05-92f976e9e6bd · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Learning transferable visual models from natural lan- guage supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:07.471748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 612f4023-ecb8-47b8-9fc7-47b8fa6724c3 · outbound

This paper cites ” why should i trust you?” explaining the predictions of any classifier.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring ” why should i trust you?” explaining the predictions of any classifier

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:07.153137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5ad957f-ecdd-4d72-b343-ba4a723d9327 · outbound

This paper cites Shapley Explanation Networks.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Shapley Explanation Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:06:05.986832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66200c78-e6a6-48e5-9640-b327f6329486 · outbound

This paper cites Image quality assessment: Form error visibil- ity to structural similarity.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Image quality assessment: Form error visibil- ity to structural similarity

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:06.950748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50629cb9-3453-4fbd-83a4-341c3e7557fd · outbound

This paper cites Bevformer v2: Adapt- ing modern image backbones to bird’s-eye-view recogni- tion via perspective supervision.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Bevformer v2: Adapt- ing modern image backbones to bird’s-eye-view recogni- tion via perspective supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:06.784268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efadaee7-1df9-4451-a3fb-99e5ce02ee9c · outbound

This paper cites Feature map convergence evaluation for functional mod- ule.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Feature map convergence evaluation for functional mod- ule

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:06.639155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68a36427-522f-401a-9bb4-1e8e781a93e7 · outbound

This paper cites Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:06:05.783143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c11d66f6-bc3b-4228-b85a-87af1132e6a5 · outbound

This paper cites Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based bayesian dynamic linear model.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based bayesian dynamic linear model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:06:06.487772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3511e3c-76f8-44d1-9f99-4bd5457880b2 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Decoupled Functional Evaluation of Autonomous Driving Models via Feature Map Quality Scoring Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T22:06:05.591786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.