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Paper Citation Record · LEDGER

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs

As of 19 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2509.00371.

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

pith.paper-citation-record.v1
2509.00371 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:44:12.467523Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 917bc445-abec-4a32-a802-d4c53b192504 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.128418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.128418Z digest=sha256:f2dd3dd7592b04f591f43b70a415f6018aad123b221c79ee5c74bb4a2cd052d7

Observation 9981d8e9-977f-4a11-9e1d-f1cab6db9ada · outbound

This paper cites DeepSeek-V3 Technical Report.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs DeepSeek-V3 Technical Report

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.756372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.756372Z digest=sha256:523707512330aec0251759be3617831b783c873b873f74bfdca2e76d7153c15a

Observation 8ed0382d-e4fe-4882-8e73-e2a81bd260af · outbound

This paper cites VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:12.219337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:12.219337Z digest=sha256:2d4f91a85a98b2b2ac80e3038446e6301c680424fae70e027f2903e9e53514ef

Observation b3174e35-cabf-40c9-92ba-e91e6ca197a3 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:12.346730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:12.346730Z digest=sha256:81243af4e9e8ee760e269d166655c1f08abd15c9e1b41eba13c9b1800472a7f9

Observation 7fad797e-553b-4dcf-89a3-6458c09561a9 · outbound

This paper cites Is there a chair in the image?.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Is there a chair in the image?

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:44:12.786808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T13:44:12.467523Z digest=sha256:aa6dff5b8a0d0b65b103fd71eb792969e6ed056daf4a480d25eb7487d540a014

Observation 369f9e92-24ef-4677-bb07-05a940c405f8 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:12.068411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:12.068411Z digest=sha256:c40b795712cda10df426cabd28e6d37d98341c80e1c6036449cdb1555348786d

Observation 33a1702d-ad89-4941-acc0-92abf86ef147 · outbound

This paper cites Object hallucination in image captioning.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Object hallucination in image captioning

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:44:13.053871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T13:44:11.927719Z digest=sha256:20e2b8368aba269c9df633ba283b03ce11281570c8020d07fed806ae6d2154f8

Observation 33479d02-de5f-42d6-bd19-2581909c9f02 · outbound

This paper cites HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.340003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.340003Z digest=sha256:46a3179fb18efd37b42e81d3b7f5490945bfd5fc1c7c55ca4cf1948a63616890

Observation d6239db5-d241-4e32-b4db-0f8ff4549ecf · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Discovering Latent Knowledge in Language Models Without Supervision

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.202844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.202844Z digest=sha256:8d411c82af1c0c459242c28971c955f8874f969659b2e497be2db78536c0ac88

Observation c350eef3-4f04-414c-8c49-35496891718c · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.450936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.450936Z digest=sha256:a235e977c3554d6b308ac9b9d303c4ae4a7eb205290789ff7f4cd144ada4c697

Observation 60028cfd-02f4-4f97-a9bf-e950da4e781b · outbound

This paper cites Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T13:44:11.659686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:44:11.659686Z digest=sha256:68f5cb10894f292b74759df7ee5675cfe5b2fec73604510ca6a18a66822d5eb6

Pith citing papers

No inbound Pith citation observations are available.