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Paper Citation Record · LEDGER

Distilling Specialized Orders for Visual Generation

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2504.17069.

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

pith.paper-citation-record.v1
2504.17069 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T17:51:04.337451Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact8
  • verified fuzzy2
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12e74f7a-41d9-4c30-9730-2e09abb5edb9 · outbound

This paper cites Layer Normalization.

Distilling Specialized Orders for Visual Generation Layer Normalization

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.603556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:709a50d9796ff0cb35819f6603118ffbcf490b1b5aba745d1a8641c40f3a2e1c

Observation b0b5cb33-c0ab-4832-bebb-44cba4f7d203 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Distilling Specialized Orders for Visual Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:51:54.598531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:d80da309da28b3b2440af62c05c0a6027ce14867baa1c344315f820df898ee3b

Observation 8b6e6718-ae52-4989-9c2d-a66fffe8bc0e · outbound

This paper cites doi: 10.1162/ coli a 00445.

Distilling Specialized Orders for Visual Generation doi: 10.1162/ coli a 00445

Reference 3

Resolution
verified exact
doi, observed 2026-05-22T17:51:53.646086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:874a9af119ff79541c173670a73111769872a3355b5b222ac7a62e56347215c4

Observation 55a2de20-bfa7-40a1-82e5-d602c3175353 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Distilling Specialized Orders for Visual Generation Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.593401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:4165d81634fa0d173fbc38a7c602b69e0652163cf62ff49b076dd4fbf35f8dab

Observation 2902d456-c9a1-460a-a11b-a8d5b44376f9 · outbound

This paper cites The Importance of Generation Order in Language Modeling.

Distilling Specialized Orders for Visual Generation The Importance of Generation Order in Language Modeling

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:51:54.587941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:c6be034a129245653b329f0d71319ae4a1f54baa4bfe6b4923c0465ff279317e

Observation cba68cad-7b46-465b-9fe2-a7c96a8662ba · outbound

This paper cites Language Models are Few-Shot Learners.

Distilling Specialized Orders for Visual Generation Language Models are Few-Shot Learners

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-22T17:51:54.582513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:754c2168c2e6f80af06108e77243fa0ee561608e43531983b27bc470f73096e9

Observation 8507246d-3cf0-40f5-8816-2cbd1ce28c13 · outbound

This paper cites GPT-4 Technical Report.

Distilling Specialized Orders for Visual Generation GPT-4 Technical Report

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.577290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:d1fc4a46e5406a3a466edcedacf9eff8169b8046a509328b3c2cd1474ca85a6a

Observation d13a7ad7-1843-4cfe-b56d-12d564f1e9ea · outbound

This paper cites Arrows of Time for Large Language Models.

Distilling Specialized Orders for Visual Generation Arrows of Time for Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T02:13:59.812497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:d50df1b4d56d084d4caf9a89114e7cceed7c467cdadbb8fedb67d8738264bc07

Observation 2550d909-fe68-4308-a6d7-8b729c6ea68e · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting.

Distilling Specialized Orders for Visual Generation Dropout: A simple way to prevent neural networks from overfitting

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:51:55.608087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:32ee6cc6cbbbfc3faf8cff615fa51c748429dea719ad3cb6b374fe63544f2b81

Observation 7d0bd756-0ef8-4474-bcf8-36998f34ca0f · outbound

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

Distilling Specialized Orders for Visual Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.565661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:2b9b7fa4e0b16a186a027d02e8d5b7655962d89a44cdc03446b4aaeea86fef28

Observation c667e573-374c-4f5c-9874-fe2c1a582ebe · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Distilling Specialized Orders for Visual Generation Gemini: A Family of Highly Capable Multimodal Models

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.551128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:b6febfc5c704715502328cdf94391b9f9519bb52349eed97e559b17095c1fe58

Observation 7b435c08-1e7f-4f84-9097-03c1cc162baf · outbound

This paper cites Qwen2 Technical Report.

Distilling Specialized Orders for Visual Generation Qwen2 Technical Report

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T17:51:54.555636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:d024d15b4c0117d3917ea9e48134e21ab2652b9427402496e32accb401901812

Observation a61d4e45-c837-4f70-a24a-47221e69a53e · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

Distilling Specialized Orders for Visual Generation MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.546183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:0669c71c173139854553cc97b4b73c20c4b278013f2c51e1737b7ab3e5a328d9

Observation 0e1be600-9565-4ac3-8747-693e2f7e45ac · outbound

This paper cites Randomized Autoregressive Visual Generation.

Distilling Specialized Orders for Visual Generation Randomized Autoregressive Visual Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.561002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:8541bbb99875fe6bf87c5f801d7d8f94d4941a4c8a0eb6dfdce7a440012c851f

Observation bb92e529-a9d0-46f4-92c0-9f4151216d82 · outbound

This paper cites To ensure we can query over all of the tokens we use a zero token padded before the first image token.

Distilling Specialized Orders for Visual Generation To ensure we can query over all of the tokens we use a zero token padded before the first image token

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:51:55.612050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:918178825fc1b6bf939b45c16ded2e7415fefc0b2f92ab1d8b73953817ae4f10

Observation 12baedd5-6b36-4419-836d-62b1656b1346 · outbound

This paper cites an unresolved cited work.

Distilling Specialized Orders for Visual Generation Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:51:55.616432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T17:51:04.337451Z digest=sha256:9560f5016c03fe6e1bd1741d6aee5e98b010ce4d30c581c1099a5324b4560b6c

Pith citing papers

No inbound Pith citation observations are available.