Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.10529.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:48.513425Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:18:57.809186Z
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 ac55e46f-ee41-4aeb-a613-f9247ad0eb77 · inbound
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning cites this paper.
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:48.513425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cb084c7-d4b8-4bcc-b561-a4bbe46415cd · inbound
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:44:12.369370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1075768-1bf2-4ea6-a099-3414db004311 · inbound
MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.
MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:18:57.812406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.