Paper Citation Record · LEDGER

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2505.05422.

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

pith.paper-citation-record.v1
2505.05422 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.377160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:39:58.252935Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cda058a8-54fd-4dc0-8247-e60690e21de7 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:51:16.028070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3e3e0be-b8e7-4a3a-a3bd-34492836fef8 · inbound

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models cites this paper.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:05.377160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96348008-d968-42c8-8185-94a74ee37817 · inbound

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs cites this paper.

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T08:10:45.426729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a157326-a4d9-4ee4-a2bd-2f5483acdd24 · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:17:18.721952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 999349fb-97b6-42a4-8ecd-1f013600b7a1 · inbound

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation cites this paper.

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:13:30.583816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c48aaa9a-a0ea-4bea-ade8-504405aa3430 · inbound

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens cites this paper.

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.749882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c99b5ab4-0b59-49da-9c7c-ab35e12fd761 · inbound

ProductWebGen: Benchmarking Multimodal Product Webpage Generation cites this paper.

ProductWebGen: Benchmarking Multimodal Product Webpage Generation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.756915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4af6f729-a158-4b93-9c62-6c1d8652f04c · inbound

Diffusing in the Right Space: A Systematic Study of Latent Diffusability cites this paper.

Diffusing in the Right Space: A Systematic Study of Latent Diffusability TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.582844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ee70d06-373a-4d63-aed5-41997f33e9c9 · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 297

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:32.105112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6afbaf8d-4465-4986-90e9-94d5a2477fab · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:44.729892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 917a0248-2953-4160-a918-a61d19129d2a · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:19:02.470136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55211188-9943-41b8-963e-43475f5c3f7d · inbound

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation cites this paper.

UniTranslator: A Unified Multi-modal Framework for End-to-end In-Image Machine Translation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:57.600575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f247a7e-2267-4637-97d6-c2db6db2f4c5 · inbound

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation cites this paper.

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:58.254262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4601cdfb-62c4-4bba-a418-da37901b710f · inbound

GroupVideo: Multi-Identity Customized Text-to-Video Generation cites this paper.

GroupVideo: Multi-Identity Customized Text-to-Video Generation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T08:45:50.500497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6527d101-63ed-4104-a6c3-74ef08f71b72 · inbound

dRAE: Representation Autoencoder with Hyper-Spherical Codes cites this paper.

dRAE: Representation Autoencoder with Hyper-Spherical Codes TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:48.280451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6858f2-cb07-4a73-bf3e-11d5b8722d22 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.271221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4112da53-a8be-491f-b95c-e48894b0801c · inbound

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation cites this paper.

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T02:14:09.811094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.