Pith. sign in

Paper Citation Record · LEDGER

Visual Error Patterns in Multi-Modal AI: A Statistical Approach

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.00083.

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

pith.paper-citation-record.v1
2412.00083 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:42:45.210657Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 948fc6e9-261f-470b-b2ee-ca9c0ae3c2fa · outbound

This paper cites A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks,.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:42:45.369507Z

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=2026-08-12T11:42:45.163166Z digest=sha256:cb837434d48d415602fa40472d3038928b5cc03dc8a95276d4c93fc6e7d74cd4

Observation b4de0a13-4e42-495e-a878-5a60d729a36f · outbound

This paper cites LLM-Select: Feature Selection with Large Language Models.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach LLM-Select: Feature Selection with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.167355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.167355Z digest=sha256:104f63e05d91f8dbff48e7eeee5a570416613a8e2423534667fd82992348e31b

Observation 84fcded3-3631-41dc-997b-0001585a36e2 · outbound

This paper cites InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.172586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.172586Z digest=sha256:636aff446c2978d90e4e517532d232bb8fd81de6057d5fac50f4ffc8f12bf25c

Observation eec5f217-edb9-41aa-a130-da07d16bf89c · outbound

This paper cites Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.176677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.176677Z digest=sha256:4ceac58f6569701376f7a79223c8eca3cc16e84640801698f76514108a058099

Observation 5f34bbe4-09d6-4064-8893-063010900c58 · outbound

This paper cites an unresolved cited work.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:42:45.358309Z

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=2026-08-12T11:42:45.180692Z digest=sha256:630345e914cba2f4b69d03cd499a1c8724524b13c10631d5ffdbdc142b7f518a

Observation 9bec26ca-ed15-440f-b905-86895a65f226 · outbound

This paper cites an unresolved cited work.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:42:45.347569Z

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=2026-08-12T11:42:45.185205Z digest=sha256:280dfd81f38f409151f9245a2c806644c57a76c9b08f0f2d551ed638391a3d68

Observation 45c551c9-9afd-4d9b-944f-624d1d3d66f9 · outbound

This paper cites (In)Accuracy of Human-Generated Correlations in a Scatterplot Drawing Task,.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach (In)Accuracy of Human-Generated Correlations in a Scatterplot Drawing Task,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:42:45.336348Z

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=2026-08-12T11:42:45.188916Z digest=sha256:8932d31e80aa305494c0bf40eb6644646ad8032622db57ea6976288ea6c5bc59

Observation 1fb8cf23-4810-4581-9fd9-929c051be895 · outbound

This paper cites Emergent analogical reasoning in large language models,.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Emergent analogical reasoning in large language models,

Reference 8

Resolution
verified exact
doi, observed 2026-08-12T11:42:45.274185Z

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=2026-08-12T11:42:45.192235Z digest=sha256:331cade0440a589f91c88359e3f5b0d24c49281036b0477ffe8bb56fd9822d16

Observation 457f6623-301d-4ec6-b969-ef4951af66d4 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.196022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.196022Z digest=sha256:f945cdb3f499aaa09944043563f0962db3a5a7a8896af18272826d37d7072130

Observation 52a2f29d-478d-436e-8f8a-779401533a34 · outbound

This paper cites Bar Tip Limit Error and Characteristics of Drawn Data Distributions on Bar Graphs,.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Bar Tip Limit Error and Characteristics of Drawn Data Distributions on Bar Graphs,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:42:45.324721Z

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=2026-08-12T11:42:45.199809Z digest=sha256:40b1626cee36b6c3761d39197b15545dab7a69a74b34ebe742e2bb6d5a7fafad

Observation 59e2980c-4cb1-4e0b-aee0-5c0a31e8df83 · outbound

This paper cites HULLMI: Human vs LLM identification with explainability.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach HULLMI: Human vs LLM identification with explainability

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.203214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.203214Z digest=sha256:6fff1cd0054657c67ab6592d1d28a2e64826970a8a5bc99f90537e0645bdc726

Observation 4a0a1a90-6518-4121-81eb-1389899502bf · outbound

This paper cites Random forest versus logistic regression: a large-scale benchmark experiment,.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Random forest versus logistic regression: a large-scale benchmark experiment,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T11:42:45.207040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:42:45.207040Z digest=sha256:f030836a98787bad5fbcd6cd72990cd100358f7ba2d5d869db86a406cb3ed592

Observation d1a88d67-607c-49db-8b82-92ed1dd8ab82 · outbound

This paper cites Feature Importance versus Feature Influence and What It Signifies for Explainable AI.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach Feature Importance versus Feature Influence and What It Signifies for Explainable AI

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:42:45.246638Z

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=2026-08-12T11:42:45.210657Z digest=sha256:8824c5df8733b5c9d3dd91e058469a6ed95f3f033cf8d1c2e232b25024bc3f97

Pith citing papers

No inbound Pith citation observations are available.