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Paper Citation Record · LEDGER

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions?

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.05765.

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

pith.paper-citation-record.v1
2506.05765 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:06.673466Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:38:32.103889Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44d76739-5427-42cf-aea8-93b90802d9d4 · outbound

This paper cites write newline.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:05.346757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:18:05.346757Z digest=sha256:62654d11a377d9faf966563f040eecec0b8e303a3e52a5a2a3bbaa15f00a5cda

Observation 74003ca1-3e8a-4fb4-9304-c7a9c9957f6e · outbound

This paper cites \ Brown, M S.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? \ Brown, M S

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.760662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.474236Z digest=sha256:99c6fb1fd2cb485f192780a9dce331ed87286b7a2b9d2e1b54c636ab49841c93

Observation d1c2ec22-c889-4844-9ff7-1155bdcba79e · outbound

This paper cites , Qiu, C.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? , Qiu, C

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.749535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.477810Z digest=sha256:4e182c31af6bbbe42d36da7b8ae0798a32e430f970f4ce3498cd92d23fdaf595

Observation 71e34f61-d33d-4d1e-8535-0c4437a74538 · outbound

This paper cites APACrefauthors \ 1984.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? APACrefauthors \ 1984

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T10:18:06.919342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.522079Z digest=sha256:a8d6c603b7de0e40aa13d4ef3409a9e6cc56dab257b8415cf542d73ff4c76f38

Observation a0ab08c9-7818-498b-9712-bf9a10ee9c48 · outbound

This paper cites , Mart\' i n, A.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? , Mart\' i n, A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.738675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.664937Z digest=sha256:9f7c90718d09c668f74ce9f93d21900f542224647ef2b00cc6b0c791b7b64a51

Observation f4568136-f30e-4e22-916e-8cdb0fc9401c · outbound

This paper cites , Liu, F.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? , Liu, F

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.726836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.792567Z digest=sha256:07203106c41439c6bfbf072e5a863ede23aa016e04906c4cf55cdabc47b241bb

Observation e3d36127-1ac1-4276-afee-c1da34f5fdfb · outbound

This paper cites , Zhang, K.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? , Zhang, K

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.711319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.994864Z digest=sha256:925d9c6ce2c8be899f2c0c2d684fc602c803a77fe7ec4f6f969d23d95dc85e45

Observation acb0fa7e-86e9-47fc-aefc-ee8c5b667f34 · outbound

This paper cites IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:06.129541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:18:06.129541Z digest=sha256:ea054eee3c732d2f7378a21c7061b35c9c5497acca83da17c68d3589ae09a4f5

Observation e88b9e3b-72f6-4d1d-b72e-8f6b2ed2402f · outbound

This paper cites \ Dekel, R.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? \ Dekel, R

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:18:07.404479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:06.321949Z digest=sha256:c9e94066df7758ae979fb95c558d8b56270367d6376e94780d09a72632301d33

Observation 111b889c-0438-4090-a75f-9091eeb88a3d · outbound

This paper cites The Illusion-Illusion: Vision Language Models See Illusions Where There Are None.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? The Illusion-Illusion: Vision Language Models See Illusions Where There Are None

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:06.427915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:18:06.427915Z digest=sha256:349cdfe326cd8f56c5988e99c1633df59b96e0fe00498bc2fcdad54d99f95aab

Observation 038b0e5a-9e7a-4927-b072-1ceb8dd715fc · outbound

This paper cites Metacognitive Prompting Improves Understanding in Large Language Models.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? Metacognitive Prompting Improves Understanding in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:06.542367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:18:06.542367Z digest=sha256:dd4f43f751b26f6f386101ec90a71c53d40d02148108d017d5b1e9c98cecf0ca

Observation 7c9f08d3-0a81-4977-91c9-8e1236b6c378 · outbound

This paper cites Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?.

Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions? Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:18:07.141353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T10:18:06.673466Z digest=sha256:3e46e2a82d4eb144441e5944c52a07b9b2b475fed166c0a3f2b95911a23bb9df

Pith citing papers

Observation e70919bd-9a07-4d6c-8972-9b864f39b1aa · inbound

Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions cites this paper.

Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T13:38:32.103889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:38:32.103889Z digest=sha256:d914dd4a334266e40f87c4313862a02987154fbde601df4976052811ae1d6960