Pith. sign in

Paper Citation Record · LEDGER

LinkBERT: Pretraining Language Models with Document Links

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2203.15827.

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

pith.paper-citation-record.v1
2203.15827 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:34:09.413052Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 05a0d300-f20b-4dd9-a60f-d0564b63c224 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science LinkBERT: Pretraining Language Models with Document Links

Reference 131

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:22.017632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:b7889fa89df629a8db8c98be14fb7b7bf79594638c26502198dbec274814dd99

Observation b90ae827-5a96-4f1a-b078-5e2d0ef6f9c1 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science LinkBERT: Pretraining Language Models with Document Links

Reference 255

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:22.298104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:501250c65a72bae4996eb2b470ec8c6a677f98982cce9b846f290c1001023ce3

Observation e57df329-3c46-4a4a-a13e-1738e9358bf7 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models LinkBERT: Pretraining Language Models with Document Links

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:32:33.585648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-24T04:32:33.271634Z digest=sha256:d9e2a9470211ed2361148453667fd067125d82f66b68f81535a67ad8b104af7f

Observation cbb04a6d-d0ae-450a-a998-ae9f0dca38fd · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription LinkBERT: Pretraining Language Models with Document Links

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-09T11:34:09.413052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:09.413052Z digest=sha256:57da51425748c5031101dedc6d451ef83aa1ce50855848d4ded80b898315f651

Observation cef8c05a-8ed2-4784-9dec-e871fbc062a2 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist LinkBERT: Pretraining Language Models with Document Links

Reference 161

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:02:45.063472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T13:02:43.571234Z digest=sha256:23f13c26e43fa4f0b5aa4cd23458f055d0c883efcd2f7a9f172fb3376cf302af

Observation 1811d10e-5024-45cd-8d79-2ee9ab22680a · inbound

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum cites this paper.

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum LinkBERT: Pretraining Language Models with Document Links

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:02.449528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:02.449528Z digest=sha256:b4ad7ab2fe4b6db485d952cea831dd5ed82c5b7e462b5ed0b860d3b82e20bbd7

Observation ddaddd5c-761c-49b9-917c-b7b2b0466a90 · inbound

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion cites this paper.

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion LinkBERT: Pretraining Language Models with Document Links

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:08.361172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:08.361172Z digest=sha256:93549446b82f3ec61d30ed1256915fc53216c8f73f664cf7b2976466a8a9284e

Observation 9a9ffd19-e220-452e-a858-dfa25c6aac61 · inbound

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding cites this paper.

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding LinkBERT: Pretraining Language Models with Document Links

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:24:25.338959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:24:25.338959Z digest=sha256:c83e6d9c3e0d079a57c730ea9d344ef2414fa963dab6463da8553d8b656ff3ce

Observation 7ee9e4f6-9a46-4963-a573-536dd8b41a9e · inbound

Platform for Representation and Integration of multimodal Molecular Embeddings cites this paper.

Platform for Representation and Integration of multimodal Molecular Embeddings LinkBERT: Pretraining Language Models with Document Links

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:08.520961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:08.520961Z digest=sha256:f058e851840f47ffd28cebdc883022b32fe21aee78d589952acdb31a716aa333

Observation fcb3a37e-fa1c-404a-8aff-48d3eb87b980 · inbound

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning cites this paper.

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning LinkBERT: Pretraining Language Models with Document Links

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:38.057332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:38.057332Z digest=sha256:1d044e0f2abb1a92c784b8ce0f3b41ab2593c62d942c09cfaaea6eaef3fb90f6

Observation 4568f32f-3315-413b-b280-7e77354c1b13 · inbound

Error-Aware Curriculum Learning for Biomedical Relation Classification cites this paper.

Error-Aware Curriculum Learning for Biomedical Relation Classification LinkBERT: Pretraining Language Models with Document Links

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:42.057818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:42.057818Z digest=sha256:50e2f28cf3b606a2571ce907df29fa5ba432c53fcfb9399016939a4ae75b7c34

Observation 12fdf19f-b3ab-4f70-946b-dd0a0d7c95fb · inbound

MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction cites this paper.

MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction LinkBERT: Pretraining Language Models with Document Links

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T16:05:38.935684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:05:38.935684Z digest=sha256:de3be227dab220a022b7ede187c48bf2b1683b69b9c0de5640f9d2535ea64ba9