Paper Citation Record · LEDGER

Making LLaMA SEE and Draw with SEED Tokenizer

As of 18 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2310.01218.

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

pith.paper-citation-record.v1
2310.01218 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-17T06:31:00.352745+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:13:16.894125Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.588718Z

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 70162ff3-a8ce-43d7-86d6-46e45d12b224 · inbound

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models cites this paper.

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models Making LLaMA SEE and Draw with SEED Tokenizer

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:44:47.453596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 5892f0c8-53f8-4454-b1e4-d0210078372b · inbound

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation cites this paper.

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:48:36.390334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 239459fe-7563-48fd-a297-eca4d5de87d5 · inbound

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding cites this paper.

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding Making LLaMA SEE and Draw with SEED Tokenizer

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:58:37.478355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 9ff8c8a9-dfd0-4fc9-850a-e8352882a5e2 · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:09:16.881241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 46622577-559c-4ea9-afda-31666510f829 · inbound

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models cites this paper.

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models Making LLaMA SEE and Draw with SEED Tokenizer

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T05:19:22.459326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 6412ae67-e7cb-450c-b736-4f27b31d55a5 · inbound

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation cites this paper.

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:09:16.479085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 063107a9-8985-4b3a-ad3b-6b88fed99714 · inbound

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies cites this paper.

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies Making LLaMA SEE and Draw with SEED Tokenizer

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:52:16.850621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 644111f9-966a-420c-b84c-94abc0b65c1e · inbound

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation cites this paper.

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:24:04.826174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation a2f59b40-9cad-4d1e-be7b-b3962e0fecb5 · inbound

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM cites this paper.

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM Making LLaMA SEE and Draw with SEED Tokenizer

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:10:56.112562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation cda3c8cc-5278-4f38-8deb-67b5537f8dae · inbound

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? cites this paper.

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? Making LLaMA SEE and Draw with SEED Tokenizer

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:40:55.995559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation d778adb8-b3db-4394-b248-abdbd10180b3 · inbound

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer cites this paper.

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer Making LLaMA SEE and Draw with SEED Tokenizer

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:05.964626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation f43ffe58-d574-4613-868b-02f1b8e1feb9 · 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 Making LLaMA SEE and Draw with SEED Tokenizer

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:17:18.821835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 186a5098-c54c-4649-8fac-6b9f4cbc284c · inbound

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing cites this paper.

When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing Making LLaMA SEE and Draw with SEED Tokenizer

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:07:13.122612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 7805d954-f801-4294-a566-f745f9568dd5 · inbound

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

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Making LLaMA SEE and Draw with SEED Tokenizer

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:38:28.919623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 8a32fd32-f805-420a-a075-5372a1a9d8d8 · inbound

InterleaveThinker: Reinforcing Agentic Interleaved Generation cites this paper.

InterleaveThinker: Reinforcing Agentic Interleaved Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.891323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation f42d80b3-3afe-45bd-8138-7db669b41d8f · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Making LLaMA SEE and Draw with SEED Tokenizer

Reference 253

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:44.766332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 1208ccc4-baff-48ac-b94c-2a2fb21b9c1a · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Making LLaMA SEE and Draw with SEED Tokenizer

Reference 252

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:55:59.718833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation a4de679e-c1e1-4667-ac3b-b459f967aebe · inbound

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation cites this paper.

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation Making LLaMA SEE and Draw with SEED Tokenizer

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:04:20.951281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 7c8cef05-b7ad-465a-a62c-34c53062e132 · inbound

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space cites this paper.

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space Making LLaMA SEE and Draw with SEED Tokenizer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T06:13:16.894125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a434d4f3-337d-46d7-978f-8e0dea4dad31 · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Making LLaMA SEE and Draw with SEED Tokenizer

Reference 130

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59d22b61-4684-47c4-b9ba-0d776255867f · inbound

Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning cites this paper.

Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning Making LLaMA SEE and Draw with SEED Tokenizer

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-09T20:16:29.589913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.