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Paper Citation Record · LEDGER

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2505.20569.

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

pith.paper-citation-record.v1
2505.20569 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:08.881874Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:37:28.363858Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34eeaf5e-3200-4458-8dcd-5aaad2a6ef4a · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:57:04.656280Z digest=sha256:1601a58902163d9baec5fd142eba774ec9a874da9eb1b48439502230cd138059

Observation 4b0ec7fe-3739-42a0-a1f4-068f3e2306b4 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 2

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source=arxiv_source observed=2026-08-07T13:57:04.823805Z digest=sha256:b5cd091cdc0b74d896b2852cf9b58ca41bbd218e15eb770f24703936ab516ab3

Observation f2af5c87-5a4c-4cd9-ae79-94ba2734933d · outbound

This paper cites Multi-Object Hallucination in Vision-Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Multi-Object Hallucination in Vision-Language Models

Reference 3

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source=arxiv_source observed=2026-08-07T13:57:04.932789Z digest=sha256:c317af155ab31e438ae03befd5d9400342df4ac15dd83975553f057935eef5c4

Observation dfc26a15-e545-48ff-9b6a-480150f9c2bc · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 4

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source=arxiv_source observed=2026-08-07T13:57:04.996922Z digest=sha256:57fad8fca948dc240d1fd0474be201f907454ab802fc6d8df8411e5b2ccd1e6e

Observation cecfd28b-9d39-488b-a6d5-9b3f84aceaf8 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-07T13:57:05.186289Z digest=sha256:55115648a10262b6f6e5a2f9b1212c2bbc3990accea28e58dc64da830540b088

Observation 768832a9-f603-4e34-b418-b6814546e022 · outbound

This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 6

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source=arxiv_source observed=2026-08-07T13:57:05.334727Z digest=sha256:5f4a5d7da359862656138b84c80c41f139dda522d57ddd6883c5889a63dbb13a

Observation 02755600-d189-4e22-91ca-c0e20b1f0fe2 · outbound

This paper cites Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training

Reference 7

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source=arxiv_source observed=2026-08-07T13:57:05.423606Z digest=sha256:e530c7542a13d14032086274ac965838cc535258be06f4940e94eb339d49c036

Observation 8f478808-6e42-47b9-93af-d5850e17afa8 · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Multi-Modal Hallucination Control by Visual Information Grounding

Reference 8

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source=arxiv_source observed=2026-08-07T13:57:05.558057Z digest=sha256:4fcaed9eda44fca27d871c2bd30246dc87c0996eeb3dc7f589c406acab2b3f32

Observation 8ef1d59f-520e-41ea-a066-5f7fe2ea0c10 · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-07T13:57:05.683369Z digest=sha256:bfbb9a581e79fe370555b69ae97f585602cdc7e94e4401456d6e30d39b108b13

Observation 7e36c277-b5d2-4525-94eb-2bba019c754c · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-07T13:57:05.799634Z digest=sha256:a12379d3bac1f2a0cf321d74118a34bd130504d629a9a7ab2730162e3cd5132e

Observation 76449b1a-149f-43e0-b9bc-edab796cc5b9 · outbound

This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 11

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source=arxiv_source observed=2026-08-07T13:57:05.910372Z digest=sha256:de6521676224dcb57b07c1fd0ad963169e3f7e60f4eb2edb991c5526959d2abb

Observation ec507330-4554-4809-a471-3ec85a7f269c · outbound

This paper cites OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 12

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source=arxiv_source observed=2026-08-07T13:57:06.012057Z digest=sha256:1cc6ab711d4b5e65d0da2763293c1e1950b02b408ba67e5d26a12908b9f7e915

Observation e6595046-8b54-4a70-a9a5-f3918fbb52ee · outbound

This paper cites FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

Reference 13

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source=arxiv_source observed=2026-08-07T13:57:06.069990Z digest=sha256:b1cdbd7936fb1b91f9060044d8e8d7c5b70622ebb63bb8645ca76bd3feb33b36

Observation a21c023e-7bec-4db4-b5c7-e534f5225d1d · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 14

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source=arxiv_source observed=2026-08-07T13:57:06.152910Z digest=sha256:eba14289061a1f88e535570943fbc275f8b9c28a7306995ea1e7c092f5945ccb

Observation e2627020-ecee-4af8-bf96-e14e97b7d298 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 15

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source=arxiv_source observed=2026-08-07T13:57:06.232028Z digest=sha256:4f6f7a1c514f088418dfb371068f753a8609f55c0e9988dd19dcc47c7976a8eb

Observation 728b9cc7-264a-4650-8aff-a6b9f3b47783 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 16

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source=arxiv_source observed=2026-08-07T13:57:06.326329Z digest=sha256:2e55a7029e347fa6c72f9dcbe62e32d00de428c37ddda1009cdfc740d48c79fc

Observation 074ad51c-4587-4436-99dd-051a885731ce · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Lawrence Zitnick, and Piotr Dollár

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.417771Z digest=sha256:fac9e2e042b6de7260965872e6451622f3afa396f4c4ffbe8075c23a61ab562f

Observation 0a79d8e3-d738-40a0-9872-e6ccc67b75ff · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Improved Baselines with Visual Instruction Tuning

Reference 18

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source=arxiv_source observed=2026-08-07T13:57:06.498171Z digest=sha256:241f3963efd7a31c96e2c783789204d41909cea4c74a692a7aa6d48a00453e2b

Observation eb8cf68e-4d4c-43b2-9d0a-97a9d55c9f6a · outbound

This paper cites Visual Instruction Tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Visual Instruction Tuning

Reference 19

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source=arxiv_source observed=2026-08-07T13:57:06.573326Z digest=sha256:97bad6e56271f6c28f93b4d65336837411fba4967411eebad3254d92f9c19c24

Observation 3d26b293-d6f0-4f4e-9892-c3db1471e7b4 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 20

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source=arxiv_source observed=2026-08-07T13:57:06.655065Z digest=sha256:91593e53c9807989c932c04a248ae375167c5391ad46c5cc508ed724fb909d0f

Observation 7438f1e2-92fd-4f68-abf1-110806346947 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-07T13:57:06.756096Z digest=sha256:dc22bcf84e0c581fae18430ae03f9396d977c0f9c3aaeddc29f648a931cac59a

Observation a001e65f-61cc-4c34-a37e-57180f1f1d8e · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.848752Z digest=sha256:a1ae2cad56f33336dfc17064ad57af56c316b882fbc7fe4eda66597f02cd11bc

Observation cabe06f7-7a52-4b5e-ad51-07901fee79d7 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models You Only Look Once: Unified, Real-Time Object Detection

Reference 23

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source=arxiv_source observed=2026-08-07T13:57:06.975467Z digest=sha256:d2b7ac7fd754d580dd3d563a7d0df18f274eb84e12eda15d931e64cc24fe977b

Observation ddf90a31-3ae9-4a81-8965-31e8e976c0d5 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models YOLOv3: An Incremental Improvement

Reference 24

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source=arxiv_source observed=2026-08-07T13:57:07.064807Z digest=sha256:6be127a0bc9498c34483230865c9eb6c01e809694ee8256ec0c9b983e7d9dd35

Observation 138354a8-d411-4f8b-b720-d71bcc1e030b · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 25

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source=arxiv_source observed=2026-08-07T13:57:07.151000Z digest=sha256:92c5e54b079af65d632a4452daf9740e08657235582bde720f11f6192ae0105b

Observation d7b3cc02-afcb-46a3-9d96-e332d89c99d2 · outbound

This paper cites Object Hallucination in Image Captioning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Object Hallucination in Image Captioning

Reference 26

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source=arxiv_source observed=2026-08-07T13:57:07.201183Z digest=sha256:2530a76ea71b44fbe88a43a2a8bacb03c5eee659cb830d9c528aac6f13c5bce6

Observation b6f73b40-05ed-49b7-9077-a0226a82675d · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 27

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source=arxiv_source observed=2026-08-07T13:57:07.290073Z digest=sha256:2fb910d504e97bafabc15c4c3cd213b91f1b4b6c4a2c680470b1987209a0847c

Observation f3ba0300-05e8-43ea-a7e6-2f2c36a0b7ca · outbound

This paper cites How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 28

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source=arxiv_source observed=2026-08-07T13:57:07.419635Z digest=sha256:3d1a78b13685a3595a671a7fc6a1daed92ccf02603aefd2c1347d09ad1f5d3c6

Observation e8e7624c-6130-4566-9961-ac571b1be60d · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.507037Z digest=sha256:c3b1389b69189ea9ef8d8e823c04408a645f8eeb84fe825db84448433f236387

Observation 0a88e899-1342-4aa9-8451-2ebbc5fc1aad · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.619332Z digest=sha256:7d8b91119dc272bfa21c4f1c8e66ff826d6b94a122a136c9922351741dcb9caf

Observation c98dafb4-293c-4733-8528-d5619c45cda9 · outbound

This paper cites Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences

Reference 31

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source=arxiv_source observed=2026-08-07T13:57:07.707953Z digest=sha256:2aa9596f84f43b88c4473820a1cbac8fd648d413a0d5c980559c7963c3da3796

Observation c17df068-c0d2-4f71-849e-0885b32ad3ce · outbound

This paper cites Mitigating Object Hallucination via Concentric Causal Attention.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mitigating Object Hallucination via Concentric Causal Attention

Reference 32

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source=arxiv_source observed=2026-08-07T13:57:07.818416Z digest=sha256:a57f9887f02cca962bac10e8acf236c777245b43106ec92c4165f9784eca425b

Observation 19791cd6-72dd-400f-83eb-ced73d7df9ea · outbound

This paper cites 1.58-bit FLUX.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models 1.58-bit FLUX

Reference 33

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source=arxiv_source observed=2026-08-07T13:57:07.883088Z digest=sha256:587321abf27384501c2626eb705d4cb369f352aa3cdf2dad837db002bef74f93

Observation d8528352-8d02-4a0c-833f-6dfa3dd0dadf · outbound

This paper cites Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination

Reference 34

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source=arxiv_source observed=2026-08-07T13:57:08.014388Z digest=sha256:74d48a3b134979e32e5cb0972a5a5d556e02636d929fa42ffaf5a3f960200ce0

Observation cb6986d9-0bcc-4784-8bdd-a9e63fc458ca · outbound

This paper cites mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Reference 35

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source=arxiv_source observed=2026-08-07T13:57:08.123698Z digest=sha256:59978eb53b8a885748a30160cf88fef277279c2bf549bf7819a2ad15efe4c30b

Observation e83e4ae2-2457-4ed9-91c9-dba95fd3cc7a · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-07T13:57:08.188057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0bd1de4f-f77f-40b0-a076-e7e05314e219 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

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Observation 1bc47176-60ef-487f-8889-e05e1b7733c2 · outbound

This paper cites RankCLIP: Ranking-Consistent Language-Image Pretraining.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models RankCLIP: Ranking-Consistent Language-Image Pretraining

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0557824b-a3cf-4e0b-a460-c4e2d170abb1 · outbound

This paper cites Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 39

Resolution
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no resolver link, observed 2026-08-07T13:57:08.373304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63fb1114-f96c-4af1-9f71-fd975f26435a · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 40

Resolution
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Source-reported events for the cited work

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Observation dd3c1c48-e6cf-449b-ae98-f87ccad78703 · outbound

This paper cites Calibrated Self-Rewarding Vision Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Calibrated Self-Rewarding Vision Language Models

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 47c14120-2f3a-4816-8e24-4dc1322eb523 · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b8ff9c9-bc7b-471f-ab2a-406c2ea72798 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a6080b69-957c-4a9e-a116-c9db8df073a6 · outbound

This paper cites online" 'onlinestring :=.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models online" 'onlinestring :=

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 916a41a7-7b03-4bd0-aeb2-6ccc19ff2525 · outbound

This paper cites write newline.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models write newline

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 6fb7b33c-b41d-463c-9269-b787fc946bb9 · inbound

MACD: Model-Aware Contrastive Decoding via Counterfactual Data cites this paper.

MACD: Model-Aware Contrastive Decoding via Counterfactual Data Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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