Pith. sign in

Paper Citation Record · LEDGER

DiffiT: Diffusion Vision Transformers for Image Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.02139.

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

pith.paper-citation-record.v1
2312.02139 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:26:37.858456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:45:00.697622Z

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 a4aac9be-5e5d-4a11-8b09-dd07a808305f · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models DiffiT: Diffusion Vision Transformers for Image Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.127476Z

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=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:4c5c29d848cc7efadc67676dbc3244d16c3ec34872e0cb8e5b78ff4497a29a49

Observation a5fc8425-30ac-41a8-bb2b-099187f83c4b · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment DiffiT: Diffusion Vision Transformers for Image Generation

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:43:03.415640Z

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=pdf_text observed=2026-05-11T19:43:03.310237Z digest=sha256:588a42cd25da612dbf79963276b1951cea4826ebb81dbf31df1c10b8b3808e53

Observation 8e4896af-d056-4a72-83a1-9a93fd418b42 · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery DiffiT: Diffusion Vision Transformers for Image Generation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:42:31.789352Z

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=2026-05-11T04:42:31.555355Z digest=sha256:0549704701fe5fad1e8529450a6d3a119b9ffcb56113fae26a46aa51c7e1b70c

Observation 1e9c2a99-12d5-4a3d-ba4f-936d9f692126 · inbound

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation cites this paper.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation DiffiT: Diffusion Vision Transformers for Image Generation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T20:26:37.858456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:26:37.858456Z digest=sha256:038236f53d50945b25743628e4ee990df6918c8d295b6182abea4d09aaff793a

Observation a37a7457-f73e-4e9b-87be-816a531ab4d2 · inbound

Transition Models: Rethinking the Generative Learning Objective cites this paper.

Transition Models: Rethinking the Generative Learning Objective DiffiT: Diffusion Vision Transformers for Image Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T10:19:54.359750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:54.359750Z digest=sha256:ceb7dcbc2b68158bbe1b3f15fcbc3232d0b6f2cf08d62a8fb3755b66d8ee85f8

Observation 76e4ee43-6a32-4739-ab9d-22badedbbbcd · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation DiffiT: Diffusion Vision Transformers for Image Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.299322Z

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=pdf_text observed=2026-05-20T11:59:54.139888Z digest=sha256:8f47a18e331080f5439d4f02e9bbf7ffdbc678d2625d60d205cd94aeb807deff

Observation 6842c3c6-9fa3-4f4a-ac19-323fdb3d6c26 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation DiffiT: Diffusion Vision Transformers for Image Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:45:00.699209Z

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=pdf_text observed=2026-06-30T18:39:40.667006Z digest=sha256:7f0f67030a72f08288dd4707d4090966b67091b34df0f0c16580e7d247ac20e7

Observation 0402f6ef-b69e-4395-865d-92e52253ec01 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation DiffiT: Diffusion Vision Transformers for Image Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T13:49:21.659435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:49:21.659435Z digest=sha256:9b852044b352cb54eaab71997a0d6bc3c55c0066a5302221c7040aa513e6b448