Paper Citation Record · LEDGER

Self-Alignment Pretraining for Biomedical Entity Representations

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2010.11784.

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

pith.paper-citation-record.v1
2010.11784 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:23.954267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.329935Z

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 e93f8a66-61a0-43f0-ad75-6675ccaf73a6 · inbound

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction cites this paper.

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction Self-Alignment Pretraining for Biomedical Entity Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T22:45:45.486274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594f637c-2d20-4daa-912a-8260b7c4f913 · inbound

TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching cites this paper.

TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching Self-Alignment Pretraining for Biomedical Entity Representations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:58:23.954267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7699d616-8ac4-415f-8616-cd82ac61b9ba · inbound

Agentic AI framework for End-to-End Medical Data Inference cites this paper.

Agentic AI framework for End-to-End Medical Data Inference Self-Alignment Pretraining for Biomedical Entity Representations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:16.046492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3c7f98-e841-44c6-9f91-0816751a21c9 · inbound

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare cites this paper.

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare Self-Alignment Pretraining for Biomedical Entity Representations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:10:32.863469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75856e6f-9469-4f7a-9d89-c3d465daa337 · inbound

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking cites this paper.

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking Self-Alignment Pretraining for Biomedical Entity Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T22:24:08.603683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a1b8c2-20a8-4742-98f1-809da5e87a19 · inbound

The Provenance Gap in Clinical AI: Evidence-Traceable Temporal Knowledge Graphs for Rare Disease Reasoning cites this paper.

The Provenance Gap in Clinical AI: Evidence-Traceable Temporal Knowledge Graphs for Rare Disease Reasoning Self-Alignment Pretraining for Biomedical Entity Representations

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.702929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81b077d5-ff2d-4b4e-89ea-4523a2f0b43f · inbound

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces cites this paper.

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces Self-Alignment Pretraining for Biomedical Entity Representations

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:25:07.751713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0da45d5b-4962-4cb8-8d84-e9f47890766a · inbound

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings cites this paper.

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings Self-Alignment Pretraining for Biomedical Entity Representations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:23:12.646159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50cb74b4-e515-4416-af1f-27dbd2080bbd · inbound

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings cites this paper.

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings Self-Alignment Pretraining for Biomedical Entity Representations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:54:38.843072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5067f7b8-3efb-45b4-b91d-4ce8307a9c89 · inbound

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings cites this paper.

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings Self-Alignment Pretraining for Biomedical Entity Representations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:29:14.945674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2cb8c9bb-d65a-4bc9-8d36-3cf4961d8d51 · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Self-Alignment Pretraining for Biomedical Entity Representations

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:00:08.331892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbd583ff-f3c4-4c16-ae5a-9a0a8d54bde3 · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction Self-Alignment Pretraining for Biomedical Entity Representations

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:33:51.155961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f48a2e16-f3e5-4d2f-999b-c2954419d204 · inbound

LLMBDC: Language Model for Biological Domains Oriented Clustering of Gene Ontology cites this paper.

LLMBDC: Language Model for Biological Domains Oriented Clustering of Gene Ontology Self-Alignment Pretraining for Biomedical Entity Representations

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T01:24:24.534780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.