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Paper Citation Record · LEDGER

Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.14917.

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

pith.paper-citation-record.v1
2502.14917 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:59.697040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:07:04.030431Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7b5efd11-9b1c-4117-b021-69dfa03fc221 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:18:53.248546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:db47ad2ccc0fa856789c197f1c77c4ed34c1c9560ed331b1687c6b33c39fdc91

Observation c61f6775-56e9-4bcb-a934-453ab960b3a5 · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:59.697040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:59.697040Z digest=sha256:35d3c0a8541fd6f13d8d80e98d201daeb2e0c16f5b0468f12e26c859e890c327

Observation 05488b1e-e701-4211-bf31-ee99f3c3e86d · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.891588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.891588Z digest=sha256:30543967de67cd777ac6016feb2f714b38e9eb49be901718b00e2db5bf8b915e

Observation b1217562-d526-4587-935d-c618f91100c8 · inbound

MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence cites this paper.

MARS: Multi-Agent Robotic System with Multimodal Large Language Models for Assistive Intelligence Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:10:34.253654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T01:05:47.657235Z digest=sha256:2a7f6da8047a898a314f1ef87fd67c8c167882d042c072a3d7d72b5d47bc7e05

Observation f99483ac-4145-48d8-81c4-5621eb0c1358 · inbound

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving cites this paper.

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T06:07:10.218338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:07:10.218338Z digest=sha256:7f3ec481bf654e1a92f064e19358d77cebec7fdee7e72d00d3839e66c31103fa

Observation 2d31ac2c-77cc-4512-a873-6f6708c11b0a · inbound

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving cites this paper.

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:07:04.031838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T14:59:35.226245Z digest=sha256:2e1d9e07499222eeb12d4ef16fd5acdb53304ef21ccfdfe985a487bbcab7a89f

Observation d78af9dc-a587-4a64-bcd0-dea31c0459a2 · inbound

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design cites this paper.

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-01T10:59:19.107920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:59:19.107920Z digest=sha256:0fed29ae653052220b6fe1b9d9f07bb6484b5cc23942e8bb22124b7849748908

Observation e3c32119-3bfd-43a3-a976-fbabd962e99f · inbound

Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding cites this paper.

Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T21:13:06.877301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:13:06.877301Z digest=sha256:2e0328aee68aeb1a5b2fc397e6a8837dcff50c78a5a76925961535ad57483712