Paper Citation Record · LEDGER

LANISTR: Multimodal Learning from Structured and Unstructured Data

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.16556.

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

pith.paper-citation-record.v1
2305.16556 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:06:13.683298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:09.222829Z

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 a551c215-e2d7-4598-8764-5cd2377f00f4 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:28:55.619007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53ab62b7-4cb7-4973-9fc1-671c103625a6 · inbound

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning cites this paper.

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:11:34.259750Z

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.

Observation 73a919f9-4598-49f9-9c80-6e79eacbe6fd · inbound

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image cites this paper.

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:51:24.777073Z

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.

Observation 68a1840b-bd4a-4ee5-af62-6d5566579c94 · inbound

GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation cites this paper.

GeoViSTA: Geospatial Vision-Tabular Transformer for Multimodal Environment Representation LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:33:32.561168Z

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.

Observation f58f7313-0985-47bf-8caa-e1500e6141a2 · inbound

Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis cites this paper.

Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.224216Z

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.

Observation bfbf1bf5-bd3e-4df0-9a0e-060f3aff0f0f · inbound

Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning cites this paper.

Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning LANISTR: Multimodal Learning from Structured and Unstructured Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:13.683298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.