Paper Citation Record · LEDGER

QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.05178.

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

pith.paper-citation-record.v1
2502.05178 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:49.928203Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.819781Z

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 cf687e1a-b5f5-4563-a753-5427cbecb4a8 · inbound

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation cites this paper.

UniCode$^2$: Cascaded Large-scale Codebooks for Unified Multimodal Understanding and Generation QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:49.928203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e389c8ad-e413-4311-96c6-dedb6e571120 · inbound

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings cites this paper.

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:26.204540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ce552d-ceb8-4c56-a03b-f1a590da903a · 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 QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 167

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:17:18.666961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6deb1b8-5c81-4bfc-b684-300bf9f9134d · inbound

Unified Pix Token And Word Token Generative Language Model cites this paper.

Unified Pix Token And Word Token Generative Language Model QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:35:04.591361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 231eadc4-01d1-4ae1-ba6e-263234ac0b94 · 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 QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:08:15.768573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d553d7d-d8bb-4acb-bb92-f667a5f324c6 · 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 QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.631392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7cfaf30-7abf-4a31-8663-d096ee5faa72 · inbound

NSVQ: Mitigating Codebook Collapse by Stabilizing Encoder Drift in Vector Quantization cites this paper.

NSVQ: Mitigating Codebook Collapse by Stabilizing Encoder Drift in Vector Quantization QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:27:39.702114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d93c88c-7d14-4a5d-ae65-d42304fbf072 · inbound

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

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:28.819010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d54901a-9046-4a6d-9181-a448ae5835b3 · inbound

Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification cites this paper.

Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:28:55.821216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aff2e8d0-fbac-4880-9063-09d70c87d728 · inbound

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

dRAE: Representation Autoencoder with Hyper-Spherical Codes QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T05:45:53.491983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63171561-62da-4f9d-9d63-c7eec9039483 · inbound

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

Twins: Learn to Predict Unified Representations with Focal Loss QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:50.752053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc275fa0-7300-4446-9dc3-cc9c0a1d4d35 · inbound

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes cites this paper.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:28.219048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.