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Paper Citation Record · LEDGER

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.11124.

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

pith.paper-citation-record.v1
2506.11124 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:11:03.554672Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T19:19:42.748573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:19:42.807426Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24b7d4aa-3a5c-4b41-a917-a7cb2081b493 · outbound

This paper cites Qwen2.5- vl technical report, 2025.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Qwen2.5- vl technical report, 2025

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.846372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4c8839dc-bb05-46e9-bc22-d8ce021c63ca · outbound

This paper cites Refav: Towards planning-centric scenario mining.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Refav: Towards planning-centric scenario mining

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:11:03.504332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:11:03.504332Z digest=sha256:672f263a3a5bb44d6a6eba1cd1afa0ffe0c1605b8e2adaeb8379faa7f4b36f70

Observation cc631dca-59bc-4579-be01-9c2223e93c4b · outbound

This paper cites Real-world scenario mining for the assessment of automated vehicles.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Real-world scenario mining for the assessment of automated vehicles

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.833205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.508622Z digest=sha256:06878f95858303d6d43567813d1fbab4f3e06607a75a7c1e67462b6274931929

Observation d721257e-80b0-41a7-8c6c-778e71faacee · outbound

This paper cites Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:11:03.512976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:11:03.512976Z digest=sha256:c4b64012e920eae8f84cbadf7cf7ccfb5e4685eb55da0a1d2437955c6b6a916a

Observation 99561dcf-a820-4e5f-8cd1-6c720e70ba80 · outbound

This paper cites Language-driven active learning for diverse open-set 3d object detection.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Language-driven active learning for diverse open-set 3d object detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.819429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.517976Z digest=sha256:f87f7f81d2da4c7e12b5c803d223aa8e40eeed23818adf7d4c7cf294cbc8271b

Observation 6eae52f0-edf9-4f73-94c1-32e231b127ef · outbound

This paper cites Scal- able active learning for object detection.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Scal- able active learning for object detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.806036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.522294Z digest=sha256:6755330e52e51950774e74322dad3278533894ebf1c8c55d6273481115178e92

Observation 879569b3-5ce3-4212-b502-0c2d3c912ef5 · outbound

This paper cites Evaluating multimodal vision-language model prompting strategies for visual question answering in road scene understanding.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Evaluating multimodal vision-language model prompting strategies for visual question answering in road scene understanding

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.792213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.526974Z digest=sha256:59521f0f4b61d96d1c2602926da3524ff8dc41a721f88adcc7b68514feee0f08

Observation 4cbfe0f8-8a57-4b65-9a9c-cfd018789f2d · outbound

This paper cites The dawn after the dark: An empirical study on factuality hallucination in large lan- guage models.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting The dawn after the dark: An empirical study on factuality hallucination in large lan- guage models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.779096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.530854Z digest=sha256:2d807fdff8ad233bf41ef7882c8c0fe838e243fbd209aaf09137d5af8e7cae2a

Observation 638fde6a-f99f-4470-ac0e-07242b7353e9 · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Hota: A higher order metric for evaluating multi-object tracking

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.764297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.534671Z digest=sha256:f083d401222033999123182eef7ea34aa046f38bfc53a3c91b4d4b213ac1d8ee

Observation b0c04dd2-0333-44f3-8c01-f5ce9ce7dc8a · outbound

This paper cites Towards long-tailed 3d detection, 2023.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Towards long-tailed 3d detection, 2023

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.749682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.538713Z digest=sha256:a7992e3c9ee1d13fef543c6661bd4fb2f8dc5a39457b8d74bce9e5c8751d90f3

Observation b528db0a-32f8-4fe5-96ce-a8a3d460da40 · outbound

This paper cites A survey of hallucination in large foundation models, 2023.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting A survey of hallucination in large foundation models, 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.735200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.542635Z digest=sha256:e08eec10c095e0f43e221d618d8b6ed90349d568b95365fbb0bb90a25079d0de

Observation f36a0270-21dd-4691-8014-00cc9722fb2b · outbound

This paper cites an unresolved cited work.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:11:03.720575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.546501Z digest=sha256:84206e8cd3a89a113e9a6075fb69057959322bcdf23032ac1ce513f3f0264343

Observation 9aff2001-280e-4b29-ac9f-892c3929cc20 · outbound

This paper cites Scenario mining for development of predictive safety functions.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Scenario mining for development of predictive safety functions

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.707401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.550663Z digest=sha256:9ab6a53d7a481883f57fdad50cf51e11c0729a127dc3b199bcb18173ff509d0b

Observation 5bfeb52d-1132-47cf-9b47-705d3519f050 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and fore- casting, 2023.

Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting Argoverse 2: Next generation datasets for self-driving perception and fore- casting, 2023

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:11:03.693469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:11:03.554672Z digest=sha256:d063c342d13c0ebd575d48f30f21a438e6e6bcb4698f40754f65aeb8253befbe

Pith citing papers

Observation 0187a408-b908-41f2-b7a6-8002573241bd · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:19:42.811743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T19:19:42.748573Z digest=sha256:5a5d2711f6da65672d67fafcee0026e6f8bc502ac80f49d4a4ef8adbee1d1518