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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 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.499248Z digest=sha256:7294a796f1032984fffd6125c2c214967c941acc938e524c81c43ffc582ff85b

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=sha256:1938358894bb7281cfd957959a53692bbc4dc14ebf977dff68917cfe255c4f2c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.508622Z digest=sha256:3d89ce3d7e7cf89f86c8c4557a062c91ac9c1fd6c4a08b1bffcca9195424a1a4

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=sha256:982759a21372248b8b0f3eee29e998a4d32a1ac1dfe10c8e5b99e531e91982cf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.517976Z digest=sha256:352a569511fd6566db80423bcb91e86d6c3964d0cc509b958201f009acd68016

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.522294Z digest=sha256:b1519c9cb4ddd86bc6f699ab7178436dde24764e32addceff3678d00c0783080

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.526974Z digest=sha256:54c28ca442947f0518c355ffd3e55f496ebe3265c282498115d6499dc0e17153

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.530854Z digest=sha256:bf824f7e343b8134287cb211b125a53e22d79bccf448350cfb7e167482f65807

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.534671Z digest=sha256:a6a01034c0c07433abbc2da566b1b3c1eb12a82e2b60ac5d2266c500ea9cb82f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.538713Z digest=sha256:23c2ad32b7121cbe278e9954ccfb1bfad567d840e5d38361417cb9aa0c043190

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.542635Z digest=sha256:457bccd629096e449a912e11b089d6c6476ba1079fba046a0f1273534588fc3a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.546501Z digest=sha256:4fb3e05532c0ccf30c8504aae2cc8c482b39177a16a1ae710f0aae4c5cfe05c0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.550663Z digest=sha256:587db802a93d0e211db6a0686cad218f5731b2e044289c74f40a0f37e6c58110

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:11:03.554672Z digest=sha256:254bae5379e50c433bcdbffaec16503c0db6b5b7e8bc235bf0ad253450ba3232

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T19:19:42.748573Z digest=sha256:11fcedee5854aa2076a448dab3f21e25cd95eeb9db7ed6e4fb37e0e0a6b0f0fe