Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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.

source=pdf_text observed=2026-08-07T05:11:03.499248Z digest=sha256:e513cc36a6f1edc9c47f0cbdf3479e14ec121ed734fbffc6fe14d6a8226f022f

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:ddcbce81bc28f689a4d63fa15b2fcdb2c70153aacbc6f6f4f2790404b8365ce0

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=sha256:83a0d1ba8e96be24225d6a57b335021cd14674f43554c048c82af7b34d68563e

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=sha256:4cf4c97f1e2bc8a666327f5377a0f3e8e631a3617176ca5f35840a09e43904ee

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:c37cf7f66cd4951667177dedcfb405382e8beaa30c89d48de2fca392c2e2c15a

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=sha256:9c81cb7004ac9951175178079120278c70a042f13c74a639317224068e350607

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=sha256:90194196c88756ef828c9dd228cd05494c2136b1011e25d73e6e544e9cd0c127

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=sha256:9112a5d28fd81c6e58c4dbb462c1045e647d7fd989ecc6e0c87ca62ebfc397fc

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=sha256:77ec5e273cfd4bc12ebd9ff0db966be0cf13902d52ee974dee1479784ecd4245

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=sha256:48c1029b32678a30710cab1545770717ae7cc5edfb15564fb88f0a9320fc5853

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=sha256:03396da0c2400c4e475d075bf73c86cfb10104039feda87596f1d4e6fc6e71f6

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=sha256:6af357c97fd4544840218fd2fe0d614600d8ca75ec3a69d1e1fb66cae7041d1e

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=sha256:5f4633ca5ae316348f7e53622d477a11e0b53d11bf46346e5fa812a459dbf8d2

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:cf596a46d933e9cafb8c8ecbaccc9b2b95b07020ef5b80ef4f32b867c5de23a0

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:ef10525d06fb0d4fd8d1401ea3d1b73fe7c28e9369b42238a03490a553ba7b9c