Pith. sign in

Paper Citation Record · LEDGER

A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.19474.

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

pith.paper-citation-record.v1
2503.19474 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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:06:22.822869Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:05.792599Z

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 37f3c9b8-384f-4e6c-a499-243f34d9b747 · inbound

FADE: Adversarial Concept Erasure in Flow Models cites this paper.

FADE: Adversarial Concept Erasure in Flow Models A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:02.277800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:02.277800Z digest=sha256:7f5416e5b8dc2a30a9e0503a4ad748039e655582342ef706e87f81f5fa59e92c

Observation 204ebad4-620e-4e52-9454-da6b721e1c47 · inbound

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection cites this paper.

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:22.822869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:22.822869Z digest=sha256:6e8338cc166d943fdd2968c4391a827e75d48255790bc321b588785c7a3b3bed

Observation 818f50ec-5b0a-4474-b113-6ff8acd0608c · inbound

Deep Learning Approaches for Multimodal Intent Recognition: A Survey cites this paper.

Deep Learning Approaches for Multimodal Intent Recognition: A Survey A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:33.896527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:33.896527Z digest=sha256:bcbbbbfeeab354babdf3ec84bb48a609306a7c479bb54b36a56dbf385fb1733c

Observation 9be4a9db-aa08-4d80-ad60-a111d213555b · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:53:05.797502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T12:53:04.319097Z digest=sha256:b4b8c03c9a56dc04ec1808695229d8f25fd7b9773030cab531aad42c16e11cae

Observation bbb0049a-9e50-4616-86e3-d5614bee9e84 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T12:53:14.944397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:53:14.944397Z digest=sha256:41f32e5c17f587b48107b92ef900fed843d4354b9c6848d89056a867729b45cc