Paper Citation Record · LEDGER

Position: Foundation Models Need Digital Twin Representations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.03798.

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

pith.paper-citation-record.v1
2505.03798 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:16.888010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:46.266547Z

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 8f6a796f-b9c3-43eb-afa1-2f3b46f58aae · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey Position: Foundation Models Need Digital Twin Representations

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:16.888010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001c0005-6762-422d-ab27-bbd76c67be73 · inbound

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming Position: Foundation Models Need Digital Twin Representations

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:27.760938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0199d5-8493-4970-832a-e4eeb65e3214 · inbound

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction cites this paper.

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction Position: Foundation Models Need Digital Twin Representations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:22.959059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07a53b42-1b22-4755-83f1-3c407055ffe8 · inbound

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA cites this paper.

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA Position: Foundation Models Need Digital Twin Representations

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:48:46.268075Z

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.