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Paper Citation Record · LEDGER

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.21559.

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

pith.paper-citation-record.v1
2504.21559 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:05:48.062408Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef71e034-075e-4d3e-b5ff-a9ac7184d1a1 · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.615402Z

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=2026-08-16T05:05:47.976823Z digest=sha256:bf36ba1f94a36013c16b4de29fc3fb31b2dbde39bb0d72c623151fd9f3c03adc

Observation 9788b89c-4c4a-4488-b7e6-e623fc516a8d · outbound

This paper cites Multi-Modal Hallucination Control by Visual Information Grounding.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Multi-Modal Hallucination Control by Visual Information Grounding

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T05:05:47.920826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:05:47.920826Z digest=sha256:6f9275bd9d2f7b257c60daec59ed4b28916a4eb074b80e0da62ba876c21263a3

Observation 84cd0680-8a6c-4339-a63e-2b55cb49b804 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:05:47.933991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:05:47.933991Z digest=sha256:59464d90d8677ddce5fc42154844f6d8541edb5450e2f43c614586ffcc8e4ce2

Observation cb81b62a-1f87-49c3-ba2f-3f632c24115b · outbound

This paper cites HallE-Control: Controlling Object Hallucination in Large Multimodal Models.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:05:47.953296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:05:47.953296Z digest=sha256:9b81d7bdc485c1900c42261709d472e3b960bff7fff2d407b5bef2c7251777af

Observation f9ac84b1-f29d-4a68-aa62-8c5645d9300c · outbound

This paper cites If nonexistent elements are included, the score decreases.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models If nonexistent elements are included, the score decreases

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:05:48.497059Z

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=2026-08-16T05:05:48.013937Z digest=sha256:4f8a534f1f5942b98dc2edee4b5c73f115a4c2199b0d07f7160b22eee28c8ed5

Observation 39522562-13d7-465c-975a-9fbe1ad8950a · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.593133Z

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=2026-08-16T05:05:47.982728Z digest=sha256:e9a023121001cd49b6c941dcc4254457b34fb293e336ecdcdee5a5e90b3564ff

Observation 94651f5f-6eec-4ee0-b682-8fddb6c025fe · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.569247Z

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=2026-08-16T05:05:47.992748Z digest=sha256:aa3a89846c80ffe87e51fecf1549f6afb2684ebe9825f5d0b9af1ef19a274c28

Observation 14947b3d-6c81-40dd-ba00-6e1e2173dedb · outbound

This paper cites The score decreases if the description includes unnecessary or unrelated information that distracts from the core details of the image.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models The score decreases if the description includes unnecessary or unrelated information that distracts from the core details of the image

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:05:48.537113Z

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=2026-08-16T05:05:48.000879Z digest=sha256:6a932944ecb0b3da64d5f8e21868493efab215b81b74d218a5107130f603e886

Observation 35380728-03f3-44fb-845a-598adc84afdf · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.463168Z

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=2026-08-16T05:05:48.024508Z digest=sha256:bb2f9baf2841f6effacedfd08f3861b636f8c3f53fd957c43bd29bf586f236aa

Observation 07c58693-dfd4-42c5-95f4-0b9975301754 · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.427262Z

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=2026-08-16T05:05:48.037942Z digest=sha256:90f5f237207a69cdfc97c26a1a06476d1a01ac28f00d44c29c97cb7f9e674a4f

Observation 55d8f4d8-9813-4bdf-aed4-9e6523002dba · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.389980Z

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=2026-08-16T05:05:48.044855Z digest=sha256:818155070f66f7be5a3d99d5a27d4a0ec690163f02bf6f3fcd73d4d8d565516a

Observation 98185fea-f798-46c1-a5ed-292359580c3a · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.331381Z

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=2026-08-16T05:05:48.053116Z digest=sha256:17d310f44b4fe9e54493e5f8b4f23ea340198d863b1eefcfe85cecb30f89d36b

Observation 8d7e5dee-0c69-4d1f-92f4-a10020621124 · outbound

This paper cites an unresolved cited work.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:05:48.291597Z

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=2026-08-16T05:05:48.062408Z digest=sha256:418a1393cdfdb6b864171555affa77e72eddb37a3360ceecea17efc2da6872a1

Observation fca54322-bb14-4d5c-acb8-1c1b8b095078 · outbound

This paper cites Is there a/an [OBJECT] in the image?.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Is there a/an [OBJECT] in the image?

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:05:48.658993Z

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=2026-08-16T05:05:47.959472Z digest=sha256:09165cf39615338539de19a286639da283a73e2c58f0630ca69d80e46204fd60

Observation 3d5d300e-207e-4425-a8b6-25424bb4bbb8 · outbound

This paper cites Mitigating Hallucination in Visual Language Models with Visual Supervision.

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models Mitigating Hallucination in Visual Language Models with Visual Supervision

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T05:05:47.909519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:05:47.909519Z digest=sha256:9f6a4d742bb443f25f51faecc4452e2b4ef573d2578f362e45d8ae549d78615f

Pith citing papers

No inbound Pith citation observations are available.