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Paper Citation Record · LEDGER

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.08354.

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

pith.paper-citation-record.v1
2503.08354 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:53:56.951323Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.059399Z

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 2014b138-2185-42a4-944e-a171d0140c40 · inbound

The 3D Mirage: Probing and Taming 3D Hallucinations cites this paper.

The 3D Mirage: Probing and Taming 3D Hallucinations Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T15:53:56.951323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:53:56.951323Z digest=sha256:0536dfe67f48a1ec63ad3c41b6550f5cbbd0c405d8363baece7efb0ec95bf3a6

Observation 7856f100-f09a-426a-bd7f-e20e02405167 · inbound

Language-Guided Transformer Tokenizer for Human Motion Generation cites this paper.

Language-Guided Transformer Tokenizer for Human Motion Generation Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-03T03:25:01.018597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:25:01.018597Z digest=sha256:940b510ddc4ffa79eadb03865ce73f11ce6444b967852e71caef83bb83209fa7

Observation d65acb82-fbb9-4ae6-9b17-d8692aa7cbe8 · inbound

Aligning Latent Geometry for Spherical Flow Matching in Image Generation cites this paper.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.187958Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:ce7086a66767e399b317a50f7c7008a3664bc9729928b669890b96e2f95faa7b

Observation 2f200e47-713e-4aa5-beb2-522225c5c174 · inbound

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

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:32.060656Z

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.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:b30aedd3c08823a8e3facdcd8ee373b1d93bcdea60728fc2b8d995f132cd8de9

Observation 9338fad7-5126-424e-a0aa-e3f31df070b9 · inbound

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

Twins: Learn to Predict Unified Representations with Focal Loss Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:51.606451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:51.606451Z digest=sha256:bae4c91e080918cad47c257e1cc22e4989da3670cb210724371308b038a20780