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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:7e0f2907799b77a2920d1a91ad8b5c132db7c3b7028eb2db654398d85823845f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.474236Z digest=sha256:0f69095c51c259b3ce151cee8044dcce1435781b8c32c6ffd98bd88f431c1f63

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.477810Z digest=sha256:948aa35b9a5dced576bf0b78d08365f58a59619af9769c74ebc2beab1a19b736

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.522079Z digest=sha256:70f546e0dff068164a70177902a2495d3e5d6eb28ade0349bff5308058de6b55

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.664937Z digest=sha256:d6792f9f3c733c80cb9efce5a590b401190890a09d968e1b2367fd31783c9b85

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.792567Z digest=sha256:1b80c48dc6235321e8d709d30785b27d00f4893353689f593f6b69eedb70c168

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:05.994864Z digest=sha256:b8e778e74ae91f494182d011a0a9d0ece4fe366eb6b21b64c6390bef1162def2

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=sha256:9f5ecd792db29d618fa1018f0d856dffa3911fc969ea16e98560792a9dd0a0ec

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:06.321949Z digest=sha256:7905510528b5295765d848ca130b0f80924b1e9e5c30cfda5686bf761788bec3

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:b9bc7afd25a09104834acca04b5d727d05ca37e30ee30a84e8eb4997e0ab4afa

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=sha256:28e521af08cd0106e72d1caa738bd1a43d89a4bd3d9adfa625cb16b56cb9d447

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T10:18:06.673466Z digest=sha256:60babbeeb1a7903ffc00543073289f836003a14442b9e761233387eb2c9600cc

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:cb177b25a9a1055ff3e6b49eac55a800c9728764d979d35ac5f8b8f45b7eee54