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Paper Citation Record · LEDGER

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

As of 18 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 3 inbound Pith citation observations for arXiv:2602.14147.

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

pith.paper-citation-record.v1
2602.14147 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:22:17.621627Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:39:32.477107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:14:26.667139Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5488909e-cadc-46f2-a9ce-5041f331845f · outbound

This paper cites M M ...M.

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models M M ...M

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-02T23:22:17.621627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:22:17.621627Z digest=sha256:3050d838bd0261f2d4877c09f4edb2c6939aea30c3f14b4cd3a6211cb230451d

Observation 3329e115-ca1a-4709-b542-890e95848479 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 177

Resolution
malformed identifier
no resolver link, observed 2026-08-02T23:22:17.485532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:22:17.485532Z digest=sha256:eef0df3054ef52b4d3f5cabd3a93f28fb81f2cc7102b49ef74a317b4dda36dbe

Pith citing papers

Observation 6a8a2b20-3c56-42d5-bce3-df73b86451c5 · inbound

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis cites this paper.

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-08T02:18:11.246770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:07:55.600338Z digest=sha256:2a6779fdefc8577157cb3eff7c06acdb449124bac5e8bb480bcfa2797de9ee7f

Observation 42dde713-0a18-465a-aef4-af812df6379c · inbound

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis cites this paper.

Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T09:39:32.477107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:39:32.477107Z digest=sha256:df066f1482ffec2c4d016cf87b7a3addacd1774a9a2a41c42eef063c660f133c

Observation f8acfc31-515b-42f5-812e-3ef4d24df194 · inbound

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs cites this paper.

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T18:56:58.246966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:56:58.246966Z digest=sha256:d5bb603bb7331d7949b54a39433b9ea8e1e60438eb4585053f960269f5ae1f1e